Copyright © 2007-2021 JumpMind, Inc
Version 3.11.14
Permission to use, copy, modify, and distribute this SymmetricDS User Guide for any purpose and without fee is hereby granted in perpetuity, provided that the above copyright notice and this paragraph appear in all copies.
Preface
This user guide introduces SymmetricDS and its features for data synchronization. It is intended for users, developers, and administrators who want to install the software, configure synchronization, and manage its operation. Thank you to all the members of the open source community whose feedback and contributions helped us build better software and documentation. This version of the guide was generated on 2019-11-15.
1. Introduction
SymmetricDS is open source software for database and file synchronization, with support for multi-master replication, filtered synchronization, and transformation. It uses web and database technologies to replicate change data as a scheduled or near real-time operation, and it includes an initial load feature for full data loads. The software was designed to scale for a large number of nodes, work across low-bandwidth connections, and withstand periods of network outage.
1.1. System Requirements
SymmetricDS is written in Java and requires a Java Runtime Environment (JRE) Standard Edition (SE) or Java Development Kit (JDK) Standard Edition (SE) version 8.0 or above. Most major operating systems and databases are supported. See the list of supported databases in the Database Compatibility section. The minimum operating system requirements are:
-
Java SE Runtime Environment 8 or above
-
Memory - 64 (MB) available
-
Disk - 256 (MB) available
The memory, disk, and CPU requirements increase with the number of connected clients and the amount of data being synchronized. The best way to size a server is to simulate synchronization in a lower environment and benchmark data loading. However, a rule of thumb for servers is one server-class CPU with 2 GB of memory for every 500 MB/hour of data transfer and 350 clients. Multiple servers can be used as a cluster behind a load balancer to achieve better performance and availability.
SymmetricDS Pro is accessed from a web console, which requires one of the following supported web browsers:
-
Google Chrome 23 or newer
-
Internet Explorer 8 or newer
-
Mozilla Firefox 17 or newer
-
Safari 6 or newer
1.2. Overview
A node is responsible for synchronizing the data from a database or file system with other nodes in the network using HTTP. Nodes are assigned to one of the node Groups that are configured together as a unit. The node groups are linked together with Group Links to define either a push or pull communication. A pull causes one node to connect with other nodes and request changes that are waiting, while a push causes one node to connect with other nodes when it has changes to send.
Each node is connected to a database with a Java Database Connectivity (JDBC) driver using a connection URL, username, and password. While nodes can be separated across wide area networks, the database a node is connected to should be located nearby on a local area network for the best performance. Using its database connection, a node creates tables as a Data Model for configuration settings and runtime operations. The user populates configuration tables to define the synchronization and the runtime tables capture changes and track activity. The tables to sync can be located in any Catalog and Schema that are accessible from the connection, while the files to sync can be located in any directory that is accessible on the local server.
At startup, SymmetricDS looks for Node Properties Files and starts a node for each file it finds, which allows multiple nodes to run in the same instance and share resources. The property file for a node contains its external ID, node group, registration server URL, and database connection information. The external ID is the name for a node used to identify it from other nodes. One node is configured as the registration server where the master configuration is stored. When a node is started for the first time, it contacts the registration server using a registration process that sends its external ID and node group. In response, the node receives its configuration and a node password that must be sent as authentication during synchronization with other nodes.
1.3. Architecture
Each subsystem in the node is responsible for part of the data movement and is controlled through configuration. Data flows through the system in the following steps:
-
Capture into a runtime table at the source database
-
Route for delivery to target nodes and group into batches
-
Extract and transform into the rows, columns, and values needed for the outgoing batch
-
Send the outgoing batch to target nodes
-
Receive the incoming batch at the target node
-
Transform into the rows, columns, and values needed for the incoming batch
-
Load data and return an acknowledgment to the source node
- Capture
-
Change Data Capture (CDC) for tables uses database triggers that fire and record changes as comma-separated values into a runtime table called DATA. For file sync, a similar mechanism is used, except changes to the metadata about files are captured. The changes are recorded as insert, update, and delete event types. The subsystem installs and maintains triggers on tables based on the configuration provided by the user, and it can automatically detect schema changes on tables and regenerate triggers.
- Route
-
Routers run across new changes to determine which target nodes will receive the data. The user configures which routers to use and what criteria is used to match data, creating subsets of rows if needed. Changes are grouped into batches and assigned to target nodes in the DATA_EVENT and OUTGOING_BATCH tables.
- Extract
-
Changes are extracted from the runtime tables and prepared to be sent as an outgoing batch. If large objects are configured for streaming instead of capture, they are queried from the table. Special event types like "reload" for Initial Loads are also processed.
- Transform
-
If transformations are configured, they operate on the change data either during the extract phase at the source node or the load phase at the target node. The node’s database can be queried to enhance the data. Data is transformed into the tables, rows, columns, and values needed for either the outgoing or incoming batch.
- Outgoing
-
The synchronization sends batches to target nodes to be loaded. Multiple batches can be configured to send during a single synchronization. The status of the batch is updated on the OUTGOING_BATCH table as it processes. An acknowledgment is received from target nodes and recorded on the batch.
- Incoming
-
The synchronization receives batches from remote nodes and the data is loaded. The status of the batch is updated on the INCOMING_BATCH table as it processes. The resulting status of the batch is returned to the source node in an acknowledgment.
1.4. Features
SymmetricDS offers a rich set of features with flexible configuration for large scale deployment in a mixed environment with multiple systems.
-
Web UI - The web console provides easy configuration, management, and troubleshooting.
-
Data Synchronization - Change data capture for relational databases and file synchronization for file systems can be periodic or near real-time, with an initial load feature to fully populate a node.
-
Central Management - Configure, monitor, and troubleshoot synchronization from a central location where conflicts and errors can be investigated and resolved.
-
Automatic Recovery - Data delivery is durable and low maintenance, withstanding periods of downtime and automatically recovering from a network outage.
-
Secure and Efficient - Communication uses a data protocol designed for low bandwidth networks and streamed over HTTPS for encrypted transfer.
-
Transformation - Manipulate data at multiple points to filter, subset, translate, merge, and enrich the data.
-
Conflict Management - Enforce consistency of two-way synchronization by configuring rules for automatic and manual resolution.
-
Extendable - Scripts and Java code can be configured to handle events, transform data, and create customized behavior.
-
Deployment Options - The software can be installed as a self-contained server that stands alone, deployed to a web application server, or embedded within an application.
1.5. Why SymmetricDS?
SymmetricDS is a feature-rich data synchronization solution that focuses on ease of use, openness, and flexibility. The software encourages interoperability and accessibility for users and developers with the availability of source code, an application programming interface (API), and a data model supported by documentation. Configuration includes a powerful set of options to define node topology, communication direction, transformation of data, and integration with external systems. Through scripts and Java code, the user can also extend functionality with custom behavior. With a central database for setup and runtime information, the user has one place to configure, manage, and troubleshoot synchronization, with changes taking immediate effect across the network.
The trigger-based data capture system is easy to understand and widely supported by database systems. Table synchronization can be setup by users and application developers without requiring a database administrator to modify the server. Triggers are database objects written in a procedural language, so they are open for examination, and include flexible configuration options for conditions and customization. Some overhead is associated with triggers, but they perform well for applications of online transaction processing, and their benefits of flexibility and maintenance outweigh the cost for most scenarios.
Using an architecture based on web server technology, many simultaneous requests can be handled at a central server, with proven deployments in production supporting more than ten thousand client nodes. Large networks of nodes can be grouped into tiers for more control and efficiency, with each group synchronizing data to the next tier. Data loading is durable and reliable by tracking batches in transactions and retrying of faults for automatic recovery, making it a low maintenance system.
1.6. License
SymmetricDS Pro is commercial software that is licensed, not sold. It is subject to the terms of the End User License Agreement (EULA) and any accompanying JumpMind Support Contract. See the standard SymmetricDS Pro license for reference, but your agreement with JumpMind may be different.
2. Installation
SymmetricDS at its core is a web application. A SymmetricDS instance runs within the context of a web application container like Jetty or Tomcat, and uses web based protocols like HTTP to communicate with other instances.
An instance has one of the following installation options:
-
Standalone Installation - SymmetricDS is installed and run as a standalone process using the built-in Jetty web server. This is the simplest and recommended way to install an instance.
-
Web Archive (WAR) - A SymmetricDS web archive (WAR) file is deployed to an existing web application container that is separately installed, maintained and run.
-
Embedded - SymmetricDS is embedded within an existing application. In this option, a custom wrapper program is written that calls the SymmetricDS API to synchronize data.
2.1. Standalone Installation
The SymmetricDS installer is an executable jar file named symmetric-pro-<version>-setup.jar. In order to run the installer, you must have the Java Runtime Environment (JRE) version 8.0 or newer installed. Start the installer by double-clicking it (if the JRE is in your path and associated with .jar files), or by running it from a command prompt, like this:
java -jar symmetric-pro-<version>-setup.jar
The default installation will run in graphical mode, but it can also be run from a command window by
adding the -console
argument on the end of the command.
The first screen is a Welcome screen that includes the SymmetricDS Pro version number. The installer will ask a series of questions before writing files to disk.
To begin selecting installation options, click Next.
Specify whether you want to install a new version of SymmetricDS for the first time (Install new software) or upgrade an existing version of SymmetricDS that was previously installed (Upgrade existing software). For upgrade, the existing installation of SymmetricDS or SymmetricDS Pro is verified before continuing.
Select the appropriate option and click Next.
Carefully read the SymmetricDS Pro License Agreement.
If you accept, select I accept the terms of this license agreement and click Next.
Choose the installation path where SymmetricDS will either be installed or upgraded. If the directory does not already exist, it will be created for you. Make sure your user has permission to write to the file system.
After entering the directory path, click Next.
Select the packages you want to install and verify disk space requirements are met. By default, all packages are selected. If you are NOT integrating SymmetricDS with Android, you can unselect the Android package.
After selecting packages, click Next.
A standalone installation can either be run automatically by the system or manually by the user. Select the Install service to run automatically checkbox to install a Windows service or Unix daemon that will start SymmetricDS when the computer is restarted. The service can installed or uninstalled later using the Control Center or command line (see Running as a Service).
Select the Run server after installing checkbox to also run SymmetricDS after installation so it can be used immediately.
After selecting options, click Next.
We do not currently support the automatic run on Mac Operating Systems. |
For standard synchronization and web console access over HTTP, select the Enable HTTP checkbox. For encrypted synchronization and web console access over HTTPS, select the Enabled SSL checkbox.
The Java Management eXtensions (JMX) are a set of server properties and operations that can be used to manage the server.
To enable a simple web console for JMX, select the Enable JMX checkbox.
To enable remote access for JMX clients like JConsole and bin/jmx
, select the Enable JMX Agent checkbox.
After selecting options and specifying unused ports, click Next.
Confirm your installation settings and click Next to begin the installation.
After SymmetricDS finishes installing, click Next.
If you chose the option for the server to start after installation, wait for it to start and then click Next.
The installation is now complete. Choose if you want to open the SymmetricDS Pro Control Center where you can view the server status and open a web console.
Click Done to exit the installer.
From the SymmetricDS Pro Control Center, you can start/stop the server, open the web console, and install/uninstall the service.
To begin configuration of SymmetricDS, check that the server is running, and then click Open Web Console.
To continue setup and configuration of SymmetricDS, refer to the Setup section.
2.2. Running as a Service
SymmetricDS can be configured to start automatically when the system boots, running as a Windows service or Linux/Unix daemon.
A wrapper process starts SymmetricDS and monitors it, so it can be restarted if it runs out of memory or exits unexpectedly.
The wrapper writes standard output and standard error to the logs/wrapper.log
file.
For SymmetricDS Pro, you may have already installed as a service, so this section will show you how to manually install the service from command line.
2.2.1. Running as a Windows Service
To install the service, run the following command as Administrator:
bin\sym_service.bat install
Most configuration changes do not require the service to be re-installed. To uninstall the service, run the following command as Administrator:
bin\sym_service.bat uninstall
To start and stop the service manually, run the following commands as Administrator:
bin\sym_service.bat start
bin\sym_service.bat stop
2.2.2. Running as a Linux/Unix daemon
An init script is written to the system /etc/init.d
directory.
Symbolic links are created for starting on run levels 2, 3, and 5 and stopping on run levels 0, 1, and 6.
To install the script, running the following command as root:
bin/sym_service install
Most configuration changes do not require the service to be re-installed. To uninstall the service, run the following command as root:
bin/sym_service uninstall
To start and stop the service manually, run the following commands:
bin/sym_service start
bin/sym_service stop
2.3. Clustering
A single SymmetricDS node may be deployed across a series of servers to cooperate as a cluster. A node can be clustered to provide load balancing and high availability.
When using clustering, a hardware load balancer is typically used, but a software load balancer, such as a reverse proxy, can also be used.
For clustered nodes running SymmetricDS 3.8 and later, the recommended approach is to configure the load balancer to use sticky sessions and ensure the staging directory for all nodes in the cluster are using a shared network drive.
Sticky sessions are needed to support reservation requests, which allows for nodes to connect and obtain a reservation before connecting again and pushing their changes. The shared staging directory is needed to support extract in background of the initial load, which is extracted by one node, but served by different nodes in the cluster. If the start.initial.load.extract.job
property is disabled, then shared staging is not required, but the performance of the initial load may be degraded.
For clustered nodes running SymmetricDS 3.7 and earlier, it is recommended to round robin client requests to the cluster and configure the load balancer for stateless connections.
Also, the sync.url
(discussed in Registration URL) SymmetricDS property should be set to the URL of the load balancer.
If the cluster will be running any of the SymmetricDS jobs, then the cluster.lock.enabled
property should be set to true
.
By setting this property to true, SymmetricDS will use a row in the LOCK table as a semaphore to make sure that only one instance at a time
runs a job. When a lock is acquired, a row is updated in the lock table with the time of the lock and the server id of the locking job. The lock time is set back to null
when the job is finished running. Another instance of SymmetricDS cannot acquire a lock until the locking instance (according to the server id) releases the lock. If an
instance is terminated while the lock is still held, an instance with the same server id is allowed to reacquire the lock. If the locking instance remains down, the lock can be
broken after a period of time, specified by the cluster.lock.timeout.ms
property, has expired. Note that if the job is still running and the lock
expires, two jobs could be running at the same time which could cause database deadlocks.
By default, the locking server id is the hostname of the server. If two clustered instances are running on the same server, then the cluster.server.id
property
may be set to indicate the name that the instance should use for its server id.
When deploying SymmetricDS to an application server like Tomcat or JBoss, no special session clustering needs to be configured for the application server.
2.4. Other Deployment Options
It is recommended that SymmetricDS is installed as a standalone service, however there are two other deployment options.
2.4.1. Web Archive (WAR)
This option means packaging a WAR file and deploying to your favorite
web server, like Apache Tomcat. It’s a little more work, but you
can configure the web server to do whatever you need. SymmetricDS can also
be embedded in an existing web application, if desired. As a web application archive, a WAR is deployed to an application server,
such as Tomcat, Jetty, or JBoss. The structure of the archive will have a web.xml
file in the WEB-INF
folder, an appropriately configured symmetric.properties
file in the WEB-INF/classes
folder,
and the required JAR files in the WEB-INF/lib
folder.
A war file can be generated using the standalone installation’s symadmin
utility and the
create-war
subcommand. The command requires the name of the war file to generate. It
essentially packages up the web directory, the conf directory and includes an optional
properties file. Note that if a properties file is included, it will be copied to
WEB-INF/classes/symmetric.properties. This is the same location conf/symmetric.properties
would have been copied to. The generated war distribution uses the same web.xml as the standalone
deployment.
bin/symadmin -p my-symmetric-ds.properties create-war /some/path/to/symmetric-ds.war
2.4.2. Embedded
This option means you must write a wrapper Java program that runs SymmetricDS. You would probably use Jetty web server, which is also embeddable. You could bring up an embedded database like Derby or H2. You could configure the web server, database, or SymmetricDS to do whatever you needed, but it’s also the most work of the three options discussed thus far.
The deployment model you choose depends on how much flexibility you need versus how easy you want it to be. Both Jetty and Tomcat are excellent, scalable web servers that compete with each other and have great performance. Most people choose either the Standalone or Web Archive with Tomcat 5.5 or 6. Deploying to Tomcat is a good middle-of-the-road decision that requires a little more work for more flexibility.
A Java application with the SymmetricDS Java Archive (JAR) library on its
classpath can use the SymmetricWebServer
to start the server.
import org.jumpmind.symmetric.SymmetricWebServer;
public class StartSymmetricEngine {
public static void main(String[] args) throws Exception {
SymmetricWebServer node = new SymmetricWebServer(
"classpath://my-application.properties", "conf/web_dir");
// this will create the database, sync triggers, start jobs running
node.start(8080);
// this will stop the node
node.stop();
}
This example starts the SymmetricDS server on port 8080.
The configuration properties file, my-application.properties
,
is packaged in the application to provide properties that override the SymmetricDS
default values. The second parameter to the constructor points to the web directory.
The default location is web
. In this example the web directory is located
at conf/web_dir
. The web.xml is expected to be found at conf/web_dir/WEB-INF/web.xml
.
3. Setup
Once the SymmetricDS software is installed on a computer and an instance of it is running, the next step in setting up the synchronization scenario is to set up a SymmetricDS node within that running SymmetricDS instance. As a reminder, a SymmetricDS node is connected to a database or file system and is responsible for synchronizing that database’s data to other SymmetricDS nodes within the node network.
3.1. Node Type
When opening the SymmetricDS Pro web console, if there are no SymmetricDS nodes defined within the running SymmetricDS instance, the Node Setup Wizard will be displayed to guide you through the process of creating one. There are two types of SymmetricDS nodes:
-
Master Node - The master node is typically the first node created when defining a synchronization scenario and serves as the central configuration point for the synchronization scenario. All SymmetricDS configuration is stored in the database this node is attached to. This node is also typically the registration server for the synchronization scenario, accepting registration requests from other nodes and providing them the SymmetricDS configuration they need.
-
Node - All other nodes are simply designated nodes. They have all of the same responsibilities as a Master Node as far as being responsible for synchronizing a particular database or file system’s data, but have NO responsibilities for configuration or registration.
In addition to the two standard node types above, there is also an option to create a Demo installation. This Demo installation does the following:
-
Creates two fully populated H2 example databases (a server and a client) to be synchronized
-
Creates a SymmetricDS Master node within the running SymmetricDS instance attached to the server database
-
Creates a second Node within the running SymmetricDS instance attached to the client database
-
Configures SymmetricDS to synchronize the two sample databases
-
Randomly executes insert, update and delete statements on the database to show database activity
The Demo option is a great way to look at an existing synchronization scenario configuration and setup. If your goal is to begin synchronizing your own databases, select the Master or Node options from above.
Select the type of node to be created within this running SymmetricDS instance.
3.2. Master Node Setup
3.2.1. Connect to the database
The first step in setting up a master node is to connect it to the database it will be responsible for synchronizing. This database will also be used to store the SymmetricDS configuration.
-
Specify the database type
-
Specify the jdbc url. An example will be provided based on the database type selected. Be sure to replace host name, port and database name if necessary (varies by database type)
-
Specify the id to be used to login to the database
-
Specify the password to be used to login to the database
3.2.2. Table permissions
This screen shows the permissions required to install the Symmetric System tables for the provided user and database.
3.2.3. Select a profile
SymmetricDS has several predefined profiles that can assist in creating configuration for a synchronization scenario. These profiles create a base configuration and allow you to tweak that configuration after initial creation. The following profiles are provided:
Standard 2 Tier |
This pattern is a central database being synchronized with many child databases of the same type. Typical examples include a central office database synchronizing to field databases (central office to stores, central office to field offices, etc.) |
Master to Master |
Master to Master synchronization. Typically two master databases / nodes used in failover fashion |
Multiple Source to One Target |
Many source databases synchronizing to a target database. A typical example for this pattern is operational databases to a data warehouse or data mart. |
The other options aren’t profiles, but options for configuration
- I’ll configure things myself
-
This option allows you to configure everything from scratch
- Import Existing
-
Allows you to import an existing SymmetricDS configuration file for this node
Select the profile or option and click Next.
3.2.4. Communication Settings
Provide the URL that other SymmetricDS nodes will use to connect to this master node. The default option provided should be used unless the master node will be accessed through a proxy, load balancer, or different host name than shown in the default option.
You can also select HTTPS or HTTP to be used for transferring data.
3.2.5. Console User
By default SymmetricDS uses an internal security scheme for protecting the SymmetricDS application. The admin user is the administrative user for the SymmetricDS web console. Provide a password for this user and click Next.
Additional users can be setup in the web console after the wizard completes. For more information, see Users.
SymmetricDS can also use LDAP to secure the SymmetricDS application. For more information, see LDAP.
3.2.6. Summary
The node is now ready to be installed. Click the Finish button.
3.3. Quick Config Wizard
Once the SymmetricDS software is installed, an instance of it is running, and a master node is setup, the synchronization scenario must be configured (i.e. what tables and/or files do I want to synchronize from which source node groups to which target node groups). The Quick Config wizard simplifies this process by walking you through several simple configuration steps.
The Quick Config Wizard can be found under the Configure→Overview screen.
The quick config wizard will show a screen for each router that is in place. The below example
shows the profile Standard 2 Tier with a client and server.
|
3.3.1. Router: Client to Server
Select all tables that should be synchronized in the direction
stated in the header, in this case from CLIENT
to the SERVER
3.3.2. Router: Server to Client
Next we will select tables to sync from the SERVER
to the CLIENT
.
The item_selling_price table was selected on both wizard screens so this table
will be configured for bi-directional sync.
|
3.3.3. Configuration Summary
The summary of the configuration made by the wizard.
Once the quick config wizard has completed your setup you can still navigate to the specific components created to provide customizations beyond the default settings. |
3.4. Node Setup
Once configuration is complete SymmetricDS will automatically pop up a Node Setup Wizard if there is only one node currently setup in your network.
See Add Node for more information.
3.5. Node Properties File
The node setup wizard generates a properties file that contains all the information a node needs to bootstrap itself.
Each node that is deployed to a server is represented by a properties file that allows it to connect to a database and
register with a parent node. Properties are configured in a file named
xxxxx.properties
. It is placed in the engines directory of the SymmetricDS install. The
file is usually named according to the engine.name, but it is not a
requirement.
To give a node its identity, the following properties are required. Any
other properties found in
conf/symmetric.properties
can be overridden for a specific engine in an engine’s properties file.
If the properties are changed in
conf/symmetric.properties
they will take effect across all engines deployed to the server.
You can use the variable $(hostName) to represent the host name of the machine when defining these properties
(for example, external.id=$(hostName) ). You can also access external id, engine name, node group id, sync URL, and registration URL in this manner.
(for example, engine.name=$(nodeGroupId)-$(externalId)).
|
You can also use BSH script for the external id, engine name, node group id, sync URL, and registration URL. Use back ticks to indicate the BSH expression, and note that only one BSH expression is supporter for a given property line. The script can be prefixed or suffixed with fixed text. For example, if you wish to based the external id off of just a part of the hostname (e.g., substring of hostName): external.id=store-`import org.apache.commons.lang.StringUtils; return StringUtils.substring(hostName,2,4);\` |
- engine.name
-
This is an arbitrary name that is used to access a specific engine using an HTTP URL. Each node configured in the engines directory must have a unique engine name. The engine name is also used for the domain name of registered JMX beans.
- group.id
-
The node group that this node is a member of. Synchronization is specified between node groups, which means you only need to specify it once for multiple nodes in the same group.
- external.id
-
The external id for this node has meaning to the user and provides integration into the system where it is deployed. For example, it might be a retail store number or a region number. The external id can be used in expressions for conditional and subset data synchronization. Behind the scenes, each node has a unique sequence number for tracking synchronization events. That makes it possible to assign the same external id to multiple nodes, if desired.
- sync.url
-
The URL where this node can be contacted for synchronization. At startup and during each heartbeat, the node updates its entry in the database with this URL. The sync url is of the format:
http://{hostname}:{port}/{webcontext}/sync/{engine.name}
The {webcontext} is blank for a standalone deployment. It will typically be the name of the war file for an application server deployment.
The {engine.name} can be left blank if there is only one engine deployed in a SymmetricDS server.
When a new node is first started, it is has no information about synchronizing. It contacts the registration server in order to join the network and receive its configuration. The configuration for all nodes is stored on the registration server, and the URL must be specified in the following property:
- registration.url
-
The URL where this node can connect for registration to receive its configuration. The registration server is part of SymmetricDS and is enabled as part of the deployment. This is typically equal to the value of the sync.url of the registration server.
Note that a registration server node is defined as one whose registration.url
is either blank or identical to itssync.url
.For a deployment where the database connection pool should be created using a JDBC driver, set the following properties:
- db.driver
-
The class name of the JDBC driver.
- db.url
-
The JDBC URL used to connect to the database.
- db.user
-
The database username, which is used to login, create, and update SymmetricDS tables.
- db.password
-
The password for the database user.
See Startup Parameters, for additional parameters that can be specified in the engine properties file.
3.6. Load Only Node
Load only nodes can be configured for nodes that are only designed to load data into the database. This prevents any triggers or runtime tables from being installed on this database but still allow data to be replicated to it.
-
No SymmetricDS runtime tables (SYM_*) installed inside the target database.
-
No SymmetricDS triggers installed inside the target database.
-
There is still support for bulk loaders if provided (MSSQL, Oracle, Postgres, MySQL for example).
-
Allows SymmetricDS to load data into dialects that are not fully supported yet or may not have full trigger support.
-
Can not be set up to capture changes
-
Requires a JDBC driver
-
May require table creation outside of SymmetricDS
-
Requires an additional database to be used for SymmetricDS runtime usage. H2 is used in the setup below but any other database could be used as the runtime database.
3.6.1. Setup Load Only Node
-
To setup a load only node, begin by adding a new node to your configuration (See Add Node for details on adding a new node).
Setup Load Only Node For Supported Databases
-
On the database setup screen of the add node wizard, check the load only box after selecting your database type.
-
The remaining steps in the add node wizard are the same as if adding a full node so continue through the remainder of the node setup wizard to complete the configuration.
Setup Load Only Node For Unsupported Databases
-
Click the Add Driver… button to setup a new JDBC driver to support a load only node.
-
Enter the information for the new JDBC driver
- Alias
-
Provide a name for the database as it will appear in the future drop down list of available databases.
- Upload
-
Upload button to upload a new JDBC driver jar file to the SymmetricDS /lib folder
- Driver Class
-
This will be populated by default by a class in the uploaded JDBC jar that implements the java.sql.Driver interface.
- Example Url
-
An exmaple jdbc connection url for this driver so that when it is selected in the future a template will provided.
-
Click Save and the database setup screen will now be populated with your new driver information.
-
The remaining steps in the add node wizard are the same as if adding a full node so continue through the remainder of the node setup wizard to complete the configuration.
Uploading a jar file is only available in the standalone installation of SymmetricDS, NOT with the deployed war file setup. For a web container (war) based deployment you would need to add the driver jar to the web servers classpath and restart. Then provide the driver class and url manually as explained in steps 4 and 5 below. |
If the driver is already a supported database by SymmetricDA and the driver jar file was packaged with SymmetricDS (in the /lib folder) or has already been uploaded for another node there is no need to upload anything here. |
4. Configuration
Configuring SymmetricDS is the process of setting up your synchronization scenario.
The Configure Overview screen provides a summary of what is currently configured in this master node. The main table on this screen shows configuration elements (Groups, Group Links, Routers, etc.) and the number of items configured for each element. As an example, in the sample screenshot below, there are 2 Groups defined, 2 Group Links defined, 2 Routers defined, 9 Channels, defined, etc. Certain configuration elements are required to configure the synchronization scenario. If these elements are not configured, a warning symbol will be displayed next to the element name.
In addition to using the Quick Config Wizard to configure the synchronization solution, you can also configure SymmetricDS configuration elements one by one using the links on the left hand side of the Configure Overview screen. Each configuration element is described in the following sections of this guide.
Configuration can also be imported from and exported to external files by pressing the Import and Export buttons from the Configure Overview screen.
4.1. Import
There are two ways a SymmetricDS configuration can be imported. Both ways support importing an export that is in CSV format. In order to import in SQL format you would run the SQL script via database specific tools or import through the web console in Configure → Overview.
-
During the creation of the master node, while selecting a profile
Figure 3. Import Existing configuration during the node creation -
Import a configuration through the web console
This will wipe out all existing configuration settings and replace with the newly imported ones.
4.2. Export
Export your configuration at any time through the web console. Use the drop down to select the format you would like to use for the export.
Exporting your configuration might be useful in order to save a configuration in source control or to be used as an import into another environment. Export and Import are frequently used to migrate configuration between test and production environments.
4.3. Groups
In SymmetricDS, configuration rules are applied to groups of nodes versus individual nodes. A group is a categorization of nodes with similar synchronization needs. For example, in a synchronization scenario where a corporate office database is synchronized with field office databases, two node groups would be created, one for the corporate office database (Corporate), and one for the field office databases (Field_office). In the corporate group, there would be a single node and database. In the field_office group, there would be many nodes and databases, one for each field office. Configuration rules/elements are applied to the node group versus the individual nodes in order to simplify the configuration setup (no need to configure each individual field office node, just how the field office nodes sync with the corporate office node).
- Group ID
-
Unique identifier for the group.
- Description
-
Description of the group that is available through the console.
Basic Two Tier |
Server, Client |
Retail |
Corp, Store, Register,Handheld |
Field Office |
Corporate, Field_office |
Failover |
Master, Failover |
4.4. Group Links
Group links define at a high level how data moves throughout your synchronization scenario. The group link defines which node groups will synchronize data to other node groups and within that exchange, which node group will initiate the conversation for that exchange.
- Source Group ID
-
The source group of the communication link.
- Link
-
Defines how the source and target groups will communicate.
Push [P] |
Indicates that nodes in the source node group will initiate communication over an HTTP PUT and push data to nodes in the target node group. |
Wait for Pull [W] |
Indicates nodes in the source node group will wait for a node in the target node group to connect via an HTTP GET and allow the nodes in the target node group to pull data from the nodes in the source node group. |
Route-only [R] |
Route-only indicates that the data isn’t exchanged between nodes in the source and nodes in the target node groups via SymmetricDS. This action type might be useful when using an XML publishing router or an audit table changes router. |
- Target Group ID
-
The target group of the communication link.
- Sync Configuration
-
Determines if configuration is also sent through this group link. By default this is checked and configuration will communicate on this path. There are configurations that might cause configuration to continuously loop through the network as a result this might need to be unchecked for some links.
- Reversible
-
Allows the communication link to send in the reverse direction if specified on the channel. A push link can be overridden to pull and a pull link can be overridden to push using a setting on the channel.
Basic |
Common two tier corp and store store bi-directional setup |
Firewall |
All communication is initiated from corp group. This is a common way to setup synchronization when the corp group is behind a firewall. |
Peer to Peer |
Allows a node to sync to all other nodes in the same group. |
Loop |
Turn sync configuration off on group link c to a so that configuration does not loop. |
Group Links Tips and Tricks
The link also defines if configuration data will be synchronized on the link. For example, you might not want remote nodes to be able to change configuration and effect other nodes in the network. In this case you would uncheck sync configuration.
|
Turn off sync configuration option where appropriate in non hierarchical setup so that configuration changes to not create a loop. See "No Config" example above. |
4.5. Routers
Routers ride on top of group links. While a group link specifies that data should be moved from nodes in a source node group to nodes in a target node group, routers define more specifically which captured data from a source node should be sent to which specific nodes in a target node group, all within the context of the node group link.
- Router Id
-
Unique description of a specific router
- Group Link
-
The group link used for the source and target node groups of this router
- Router Type
-
The type of router. Standard router types are listed below. Custom routers can be configured as extension points.
Type | Description |
---|---|
default |
A router that sends all captured data to all nodes that belong to the target node group defined in the router. See Default Router |
column |
A router that compares old or new column values in a captured data row to a constant value or the value of a target node’s external id or node id. See Column Match Router |
audit |
A router that inserts into an automatically created audit table. It records captured changes to tables that it is linked to. See Audit Table Router |
java |
A router that executes a Java expression in order to select nodes to route to. The script can use the old and new column values. See [Java Router] |
lookuptable |
A router which can be configured to determine routing based on an existing or ancillary table specifically for the purpose of routing data. See Lookup Table Router |
subselect |
A router that executes a SQL expression against the database to select nodes to route to. This SQL expression can be passed values of old and new column values. See Subselect Router |
convertToReload |
When subselect router is too slow and there are too many tables or rows for lookuptable router, a convertToReload router can efficiently sub-set data by converting multiple changes into a reload batch. See ConvertToReload Router |
bsh |
A router that executes a Bean Shell script expression in order to select nodes to route to. The script can use the old and new column values. See Beanshell Router |
csv |
A router that sends data from a CSV file to a target table of the target node group defined in the router. See CSV Router |
dbf |
A router that sends data from a dBase generated DBF file to a target table of the target node group defined in the router. See DBF Router |
- Router Expression
-
An expression that is specific to the type of router that is configured in router type. See the documentation for each router for more details.
- Use Source Catalog/Schema
-
If set then the source catalog and source schema are sent to the target to be used to find the target table.
- Target Catalog
-
Optional name of catalog where a target table is located. If this field is unspecified, the catalog will be either the default catalog at the target node or the "source catalog name" from the table trigger, depending on how "use source catalog schema" is set for the router. Variables are substituted for
$(sourceNodeId)
,$(sourceExternalId)
,$(sourceNodeGroupId)
,$(targetNodeId)
,$(targetExternalId)
,$(targetNodeGroupId)
, and$(none)
. Parameter values can be substituted using$(name)
syntax. See Variables. - Target Schema
-
Optional name of schema where a target table is located. If this field is unspecified, the schema will be either the default schema at the target node or the "source schema name" from the table trigger, depending on how "use source catalog schema" is set for the router. Variables are substituted for
$(sourceNodeId)
,$(sourceExternalId)
,$(sourceNodeGroupId)
,$(targetNodeId)
,$(targetExternalId)
,$(targetNodeGroupId)
, and$(none)
. Parameter values can be substituted using$(name)
syntax. See Variables.
- Sync on Update
-
Flag that indicates that this router should send updated rows from nodes in the source node group to nodes in the target node group.
- Sync on Insert
-
Flag that indicates that this router should send inserted rows from nodes in the source node group to nodes in the target node group.
- Sync on Delete
-
Flag that indicates that this router should send deleted rows from nodes in the source node group to nodes in the target node group.
- Target Table
-
Optional name for a target table. Only use this if the target table name is different than the source.
-
A router that is not linked to any triggers.
-
A router that is linked to a single trigger.
-
A router that is linked to multiple triggers.
4.5.1. Router Types
Default Router
The simplest router is a router that sends all the data that is captured by its associated triggers to all the nodes that belong to the target node group defined in the router.
Column Match Router
Sometimes requirements may exist that require data to be routed based on the current value or the old value of a column in the table that is being routed.
The first part of the expression is always the column name. The column name should always be defined in upper case. The upper case column name prefixed by OLD_ can be used for a comparison being done with the old column data value.
The second part of the expression can be a constant value, a token that represents another column, or a token that represents some other SymmetricDS concept. Token values always begin with a colon (:).
-
Consider a table that needs to be routed to all nodes in the target group only when a status column is set to 'READY TO SEND.'
STATUS=READY TO SEND
-
Consider a table that needs to be routed to all nodes in the target group only when a status column changes values.
The use of OLD_STATUS, where the OLD_ prefix gives access to the old column value. |
STATUS!=:OLD_STATUS
Attributes on a NODE that can be referenced with the following tokens
|
-
Consider a table that needs to be routed to only nodes in the target group whose STORE_ID column matches the external id of a node.
STORE_ID=:EXTERNAL_ID
-
Consider a table that needs to be routed to a redirect node defined by its external id in the REGISTRATION_REDIRECT table.
STORE_ID=:REDIRECT_NODE
-
More than one column may be configured in a router_expression. When more than one column is configured, all matches are added to the list of nodes to route to. The following is an example where the STORE_ID column may contain the STORE_ID to route to or the constant of ALL which indicates that all nodes should receive the update.
STORE_ID=ALL or STORE_ID=:EXTERNAL_ID
-
The NULL keyword may be used to check if a column is null. If the column is null, then data will be routed to all nodes who qualify for the update. This following is an example where the STORE_ID column is used to route to a set of nodes who have a STORE_ID equal to their EXTERNAL_ID, or to all nodes if the STORE_ID is null.
STORE_ID=NULL or STORE_ID=:EXTERNAL_ID
-
External data collected as part of the trigger firing (see External Select) can also be used as a virtual column in the router expression as well.
EXTERNAL_DATA=:EXTERNAL_ID
Audit Table Router
This router audits captured data by recording the change in an audit table that the router creates and keeps up to date. The router creates a table named the same as the table for which data was captured with the suffix of _AUDIT. It will contain all of the same columns as the original table with the same data types only each column is nullable with no default values.
The following parameter must be set to true so that the audit table can be created. |
auto.config.database=true
AUDIT_ID |
the primary key of the table. |
AUDIT_TIME |
the time at which the change occurred. |
AUDIT_EVENT |
the DML type that happened to the row. |
The audit router must be associated with a node group link of type 'R'. The 'R' stands for 'only routes to' (see Group Links). |
Lookup Table Router
A lookup table may contain the id of the node where data needs to be routed. This could be an existing table or an ancillary table that is added specifically for the purpose of routing data.
Each of the following configuration parameters are required.
|
The lookup table will be read into memory and cached for the duration of a routing pass for a single channel. |
Consider a table that needs to be routed to a specific store, but the data in the changing table only contains brand information. In this case, the STORE table may be used as a lookup table.
LOOKUP_TABLE=STORE KEY_COLUMN=BRAND_ID LOOKUP_KEY_COLUMN=BRAND_ID EXTERNAL_ID_COLUMN=STORE_ID
Subselect Router
Sometimes routing decisions need to be made based on data that is not in the current row being synchronized. A 'subselect' router can be used in these cases. A 'subselect' is configured with a router expression that is a SQL select statement which returns a result set of the node ids that need routed to. Column tokens can be used in the SQL expression and will be replaced with row column data.
The overhead of using this router type is high because the 'subselect' statement runs for each row that is routed. It should not be used for tables that have a lot of rows that are updated. It also has the disadvantage that if the data being relied on to determine the node id has been deleted before routing takes place, then no results would be returned and routing would not happen. |
The router expression you specify is appended to the following SQL statement in order to select the node ids:
select c.node_id
from sym_node c
where c.node_group_id=:NODE_GROUP_ID
and c.sync_enabled=1 and ...
The SQL statement has access to the following variables that are replaced before running:
:NODE_GROUP_ID |
The target node group ID that is configured for the router. |
:EXTERNAL_DATA |
The external data for current row, as configured by sym_trigger.external_select. |
:DATA_EVENT_TYPE |
The event type of either INSERT, UPDATE, or DELETE. |
:TABLE_NAME |
The table name for the current row. |
:COLUMN_NAME |
Variables named for each column name (in uppercase), which return the column value for the new row. |
:OLD_COLUMN_NAME |
Variables named for each column name (in uppercase and prefixed with OLD_), which return the column value for the old row. |
For an example, consider the case where an Order table and an OrderLineItem table need to be routed to a specific store. The Order table has a column named order_id and STORE_ID. A store node has an external_id that is equal to the STORE_ID on the Order table. OrderLineItem, however, only has a foreign key to its Order of order_id. To route OrderLineItems to the same nodes that the Order will be routed to, we need to reference the master Order record.
There are two possible ways to solve this in SymmetricDS.
-
Configure a 'subselect' router type (shown below).
-
Use an external select to capture the data via a trigger for use in a column match router, see External Select.
c.external_id in (select STORE_ID from order where order_id=:ORDER_ID)
In this example that the parent row in Order must still exist at the moment of routing for the child rows (OrderLineItem) to route, since the select statement is run when routing is occurring, not when the change data is first captured. |
ConvertToReload Router
This router converts multiple change events into a single reload event, which can be used to sub-set data quickly when the subselect router is too slow or when the lookuptable router can’t handle the amount of lookup data. ConvertToReload inserts the primary key values for each row, along with a unique load ID, into a temporary table. The reload event uses the initial load SQL along with a join to the temporary table to retrieve the changes and sub-set data.
The router expression requires the name of the temporary table to use:
temptable=mytable_router
create table mytest (id integer, name varchar(50), primary key(id));
create table mytest_router (id integer, load_id integer, primary key(load_id, id));
insert into SYM_ROUTER (router_id,
source_node_group_id, target_node_group_id, router_type,
router_expression, create_time, last_update_time) values
('corp-2-store','corp', 'store', 'convertToReload', 'temptable=mytest_router', current_timestamp,
current_timestamp);
Beanshell Router
When more flexibility is needed in the logic to choose the nodes to route to, then the a scripted router may be used. The currently available scripting language is Bean Shell. Bean Shell is a Java-like scripting language. Documentation for the Bean Shell scripting language can be found at http://www.beanshell.org .
The router type for a Bean Shell scripted router is 'bsh'. The router expression is a valid Bean Shell script that:
nodes |
Collection of org.jumpmind.symmetric.model.Node objects the router would route to normally. |
nodeIds |
Collection of node ids that the router would route to normally. You can just return this if you want the bsh router to behave like the default router. |
targetNodes |
Collection of org.jumpmind.symmetric.model.Node objects to be populated and returned. |
engine |
The instance of org.jumpmind.symmetric.ISymmetricEngine which has access to SymmetricDS services. |
Any Data Column |
Data column values are bound to the script evaluation as Java object representations of the column data. The columns are bound using the uppercase names of the columns. Example if store_id is a column then STORE_ID is a variable name available in Bean Shell script. |
Any Old Values |
Old Data column values are bound to the script evaluation as Java object representations of the column data. The columns are bound using the uppercase representations that are prefixed with 'OLD_'. Example if store_id is a column then OLD_STORE_ID is a variable name available in Bean Shell script representing the old value for the store_id before the change. |
targetNodes |
Collection of org.jumpmind.symmetric.model.Node objects that will be routed to. |
true |
All nodes should be routed |
false |
No nodes should be routed |
The last line of a bsh script is always the return value. |
targetNodes.add(STORE_ID + "-" + WORKSTATION_NUMBER)
The same could also be accomplished by simply returning the node id.
STORE_ID + "-" + WORKSTATION_NUMBER
FLAG != null && !FLAG.equals(OLD_FLAG)
Here we make use of OLD_, which provides access to the old column value. |
for(org.jumpmind.symmetric.model.Node node : nodes) {
if (STATION != null && node.getExternalId().equals(STATION.trim())) {
targetNodes.add(node.getNodeId());
}
}
CSV Router
This router is used to route csv files to a specified target database table.
Consider a csv file that needs to be routed to a target table. To specify the target table, click on "Show Advanced Options" and enter your table name.
In your router expression you can tell the router to include a transaction ID for the routed data with INCLUDE_TRANSACTION_ID=true|false. Default is false.
The CSV Router routes from file to database so a file trigger must be created to specify the directory or path that the file trigger should watch. (see File Triggers) |
DBF Router
This router is used to route dbf files that are generated from a dBase system to a specified target database table.
The DBF Router routes from file to database so a file trigger must be created to specify the directory or path that the file trigger should watch. (see File Triggers) |
4.6. Channels
Once group links and routers are defined, configuration must be completed to specify which data (tables, file systems, etc.) should be synchronized over those links and routers. The next step in defining which specific data in the database is moved is to define logical groupings for that data. Channels define those logical groupings. As an example, a set of tables that hold customer data might be logically grouped together in a Customer channel. Sales, returns, tenders, etc. (transaction data) might be logically grouped into a transaction channel. A default channel is automatically created that all tables will fall into unless other channels are created and specified. The default channel is called 'default'.
Channels can be disabled, suspended, or scheduled as needed.
Transactions will NOT be preserved across channels so its important to setup channels to contain all tables that participate in a given transaction. |
- Channel ID
-
Identifier used through the system to identify a given channel.
- Processing Order
-
Numeric value to determine the order in which a channel will be processed. Channels will be processed in ascending order.
- Batch Algorithm
-
Batching is the grouping of data, by channel, to be transferred and committed at the client together.
Default |
All changes that happen in a transaction are guaranteed to be batched together. Multiple transactions will be batched and committed together until there is no more data to be sent or the max_batch_size is reached. |
Transactional |
Batches will map directly to database transactions. If there are many small database transactions, then there will be many batches. The max_batch_size column has no effect. |
Nontransactional |
Multiple transactions will be batched and committed together until there is no more data to be sent or the max_batch_size is reached. The batch will be cut off at the max_batch_size regardless of whether it is in the middle of a transaction. |
- Max Batch Size
-
Specifies the maximum number of data events to process within a batch for this channel.
- Max Batch To Send
-
Specifies the maximum number of batches to send for a given channel during a 'synchronization' between two nodes. A 'synchronization' is equivalent to a push or a pull. For example, if there are 12 batches ready to be sent for a channel and max_batch_to_send is equal to 10, then only the first 10 batches will be sent even though 12 batches are ready.
- Max Data To Route
-
Specifies the maximum number of data rows to route for a channel at a time.
- Max KB/s
-
Specifies the maximum network transfer rate in kilobytes per second. Use zero to indicate unlimited. When throttling the channel, make sure the channel is on its own queue or within a queue of channels that are throttled at the same rate. This is currently only implemented when staging is enabled.
- Data Loader Types
-
Determines how data will be loaded into the target tables. These are used during an initial load or a reverse initial load. Data loaders do not always have to load into the target relational database. They can write to a file, a web service, or any other type of non-relational data source. Data loaders can also use other techniques to increase performance of data loads into the target relation database.
default |
Performs an insert first and if this fails will fall back to an update to load the data. |
ftp_localhost |
Sends the data in CSV format to a configured ftp location. These locations are setup in the TODO {SYM_HOME}/conf/ftp-extensions.xml |
bulk |
Assigns the appropriate bulk loader to this channel. Supported bulk loaders include: Microsoft SQL, PostgreSQL, MySQL and Amazon Redshift over S3. |
mongodb |
MongoDB data loader. |
Tables that should be data loaded should be configured to use this channel. Many times, a reload channel will be set to bulk load to increase the performance of an initial load. |
- Queue Name
-
Determines a queue that the channel will sync in. Channels with the same queue name are processed synchronously (one at a time) and channels on different queues are processed asynchronously (in parallel).
- Group Link Direction
-
For a node group link that is reversible, the channel can specify either "push" or "pull" to override the default group link communication. If this field is empty, the default group link communication is used.
- Enabled
-
Indicates whether the channel is enabled or disabled. If a channel is disabled, data is still captured for changes that occur on the source system, but it will not be routed and sent to the target until the channel is re-enabled.
- Reload Channel
-
Indicates whether a channel is available for initial loads and reverse initial loads.
- File Sync Channel
-
Indicates whether a channel is available for file synchronization.
- Use Old Data To Route
-
Indicates if the old data will be included for routing. Routing can then use this data for processing. Defaults to true.
- Use Row Data To Route
-
Indicates if the current data will be included for routing. Routing can then use this data for processing. Defaults to true.
- Use Primary Key (PK) Data to Route
-
Indicates if the primary key data will be include for routing. For example maybe a store ID is needed to apply logic on before sending to the appropriate target nodes. Defaults to true.
- Contains Lob or Wide Row Data
-
For Oracle, Tibero, Firebird, and Interbase, this setting can be enabled when change data capture exceeds the character limit. Oracle and Tibero have a character limit of 4000, while Firebird and Interbase have a character limit of 20000 for changes and 1000 for primary key values. Change data capture is first attempted to extract as character data for better performance, then it will automatically fall back to extract as a large object (LOB). Enable this setting when most changes captured on the channel need extracted as LOB or when the extraction is receiving a truncation error.
TODO
Channel Tips and Tricks
Increase performance by creating designated channels for tables that use LOB data types. For these channels be sure to check the "Table Contains Big Lobs" to increase performance.
|
4.7. Table Triggers
The next step in defining the synchronization scenario is to define which tables should be synchronized. The simplest way to do this is by using the Auto Create… button on the Configure → Table Triggers screen. The Auto Create functionality introspects the master node’s database and looks for available tables to synchronize.
Note that you will be configuring tables to synchronize for specific Routers. You will get a chance to select tables for each configured Router. Select the channel you desire from the dropdown, select the tables that should be synchronized using that channel, and then click the Next button. A summary will be presented at the end of the configuration. Click Finish to create the triggers.
The Auto Create functionality can be used repeatedly to select different table, router and channel combinations. If you are configuring a new set of tables triggers that should use an independent Trigger definition be sure to enter values for either the Trigger Prefix or the Trigger Suffix fields. These will be used to create a unique Trigger Id.
For each table selected in the Auto Create wizard, a corresponding Table Trigger configuration element will be added that can be maintained within the Table Triggers list screen. New Table Trigger configuration elements can also be created manually from this screen.
- Trigger Id
-
Unique identifier for a trigger.
- Source Catalog
-
Optional name for the catalog the configured table is in. If the name includes * then a wildcard match on the table name will be attempted. \ Wildcard names can include a list of names that are comma separated. The ! symbol may be used to indicate a NOT match condition. Parameter values can be substituted using
$(name)
syntax. See Variables. - Source Schema
-
Optional name for the schema a configured table is in. If the name includes * then a wildcard match on the table name will be attempted. Wildcard names can include a list of names that are comma separated. The ! symbol may be used to indicate a NOT match condition. Parameter values can be substituted using
$(name)
syntax. See Variables. - Source Table
-
The name of the source table that will have a trigger installed to watch for data changes. See Trigger Wildcards for using wildcards to specify multiple source tables. Parameter values can be substituted using
$(name)
syntax. See Variables. - Channel
-
The channel_id of the channel that data changes will flow through.
- Sync On Insert
-
Determines if changes will be captured for inserts.
- Sync On Update
-
Determines if changes will be captured for updates.
- Sync On Delete
-
Determines if changes will be captured for deletes.
- Reload Channel Id
-
The channel_id of the channel that will be used for initial loads.
- Sync On Insert Condition
-
Specify a condition for the insert trigger firing using an expression specific to the database. On most platforms, it is added to an "IF" statement in the trigger text. On SQL-Server it is added to the "WHERE" clause of a query for inserted/deleted logical tables. See Sync Condition Example.
- Sync On Update Condition
-
Specify a condition for the update trigger firing using an expression specific to the database. On most platforms, it is added to an "IF" statement in the trigger text. On SQL-Server it is added to the "WHERE" clause of a query for inserted/deleted logical tables. See Sync Condition Example.
- Sync On Delete Condition
-
Specify a condition for the delete trigger firing using an expression specific to the database. On most platforms, it is added to an "IF" statement in the trigger text. On SQL-Server it is added to the "WHERE" clause of a query for inserted/deleted logical tables. See Sync Condition Example.
- Sync Condition Example
-
Sync Conditions can access both old values and new values of a field/column using "old_" and "new_" respectively. For example, if your column is id and your condition checks the value coming in to be 'test', your condition will be:
new_id = 'test'
- Custom Insert Trigger Text
-
Specify insert trigger text (SQL) to execute after the SymmetricDS trigger fires. This field is not applicable for H2, HSQLDB 1.x or Apache Derby.
- Custom Update Trigger Text
-
Specify update trigger text (SQL) to execute after the SymmetricDS trigger fires. This field is not applicable for H2, HSQLDB 1.x or Apache Derby.
- Custom Delete Trigger Text
-
Specify delete trigger text (SQL) to execute after the SymmetricDS trigger fires. This field is not applicable for H2, HSQLDB 1.x or Apache Derby.
- Sync On Incoming
-
Whether or not an incoming batch that loads data into this table should cause the triggers to capture changes. Changes are never sent back to the source node, but enabling this setting makes it possible to create a never-ending loop through intermediary nodes, such as A to B to C to A.
- Capture Row As LOB
-
For Oracle, Tibero, and DB2, row data that exceeds the character limit needs converted into a large object (LOB) for capture. Oracle and Tibero have a character limit of 4000, while DB2 has a character limit of 32767. The trigger will try to automatically capture the row correctly, so only enable this setting if you are getting truncation errors during trigger creation or when changing data.
- Stream LOBs
-
Captures an empty placeholder for large object (LOB) data types when a row is changed, then queries for the LOB value later when the batch is extracted. If normal capturing of LOBs is not working, enabling this setting may work instead. When very large LOB data is involved, this setting can reduce the overhead of making changes in the database, but it usually results in worse performance of synchronization since it queries each row during extraction.
- Stream Row
-
Captures only the primary key values when the trigger fires, which can reduce overhead for tables with wide data or many columns. The data will be queried using the PK values when the batch is extracted. This results in worse performance of synchronization, but it can be used when triggers for all columns won’t install or when contention from triggers is too high.
- Capture Old Data
-
Indicates whether this trigger should capture and send the old data, which is the previous state of the row before the change. Enable this option if you need to access old data in custom trigger text, routing expression, or transform expression. Otherwise, disable this option for better performance.
- Handle Key Updates
-
For SQL-Server and Sybase, enable this setting to capture changes to the primary key. The trigger needs to do some additional work to handle changes to the primary key, so this setting is normally disabled.
- External Select
-
Specify a SQL select statement that returns a single row, single column result. It will be used in the generated database trigger to populate the EXTERNAL_DATA field on the data table. See
- Excluded Column Names
-
Specify a comma-delimited list of columns that should not be synchronized from this table.
- Included Column Names
-
Specify a comma-delimited list of columns only should be synchronized from this table.
- Sync Key Names
-
Specify a comma-delimited list of columns that should be used as the key for synchronization operations. By default, if not specified, then the primary key of the table will be used.
- Channel Expression
-
An expression that will be used to capture the channel id in the trigger. This expression will only be used if the channel_id is set to 'dynamic'. The variable "$(schemaName)" can be used, which is replaced with the source schema of the table. See Variables.
Multiple Triggers On A Table
Note that many databases allow for multiple triggers of the same type to be defined. Each database defines the order in which the triggers fire differently.
If you have additional triggers beyond those SymmetricDS installs on your table, please consult your database documentation to determine if
there will be issues with the ordering of the triggers.
|
Quick Config Wizard
Use the Quick Config Wizard to setup a complete synchronization scenario with default trigger settings.
|
Auto Create Triggers
By using the "Auto Create" button the on the "Table Triggers" screen you can create all your triggers through a single dialog.
|
Capture Changed Data
When determining whether a data change has occurred or not, by default the triggers will record a change even if the data was updated to the same value(s) they were originally. For example, a data change will be captured if an update of one column in a row updated the value to the same value it already was. There is a global property that allows you to override this behavior (defaults to false). trigger.update.capture.changed.data.only.enabled=false This property is currently only supported on MySQL, DB2, SQL Server, and Oracle. |
4.7.1. Trigger Wildcards
The source table name may be an expression that is used to match multiple table names. Special characters include the asterisk ('*') for wildcards, the comma (',') for multiple expressions, and the exclamation ('!') for negation.
-
Separate multiple table names or table name expressions with a comma.
-
Characters are always evaluated from left to right.
-
When a table match is made, the table is either added to or removed from the list of tables. If another trigger already exists for a table, then that table is not included in the wildcard match (the explicitly defined trigger entry take precedence).
-
System tables and any table names that start with the SymmetricDS table prefix will be excluded.
-
To negate the expression and exclude tables, start the expression with an exclamation.
-
Double up special characters to match a single literal character. (Use two asterisks to match a single asterisk.) The entire expression is processed as wildcarded when an odd number of consecutive special characters are found.
4.7.2. External Select
Occasionally, you may find that you need to capture and save away a piece of data present in another table when a trigger is firing. This data is typically needed for the purposes of determining where to 'route' the data to once routing takes place. Each trigger definition contains an optional "external select" field which can be used to specify the data to be captured. Once captured, this data is available during routing in DATA 's external_data field.
For these cases, place a SQL select statement which returns the data item you need for routing in external_select.
The external select SQL must return a single row, single column |
select STORE_ID from order where order_id=$(curTriggerValue).$(curColumnPrefix)order_id
$(curTriggerValue) |
Variable to be replaced with the NEW or OLD column alias provided by the trigger context, which is platform specific. For insert and update triggers, the NEW alias is used; for delete triggers, the OLD alias is used. For example, "$(curTriggerValue).COLUMN" becomes ":new.COLUMN" for an insert trigger on Oracle. |
$(curColumnPrefix) |
Variable to be replaced with the NEW_ or OLD_ column prefix for platforms that don’t support column aliases. This is currently only used by the H2 database. All other platforms will replace the variable with an empty string. For example "$(curColumnPrefix)COLUMN" becomes "NEW_COLUMN" on H2 and "COLUMN" on Oracle. |
External select SQL statements should be used carefully as they will cause the trigger to run the additional SQL each time the trigger fires. |
Using an external select on the trigger is similar to using the 'subselect' router. The advantage of this approach over the 'subselect' approach is that it guards against the (somewhat unlikely) possibility that the master Order table row might have been deleted before routing has taken place. This external select solution also is a bit more efficient than the 'subselect' approach. |
4.7.3. Load Only Triggers
Occasionally the decision of what data to load initially results in additional triggers. These triggers, known as load only triggers, are configured such that they do not capture any data changes. In other words, the sync on insert, sync on update, and sync on delete attributes of the trigger are all set to false.
-
Initial Loads
-
Reverse Initial Loads
-
Table Reloads
-
Creation of tables during initial loads
-
To load a read-only lookup table, for example. It could also be used to load a table that needs populated with example or default data.
-
Recovery of data for tables that have a single direction of synchronization. For example, a retail store records sales transactions that synchronize in one direction by trickling back to the central office. If the retail store needs to recover all the sales transactions from the central office, they can be sent are part of an initial load from the central office by setting up a load only trigger that "sync" in that direction.
4.8. Table Routing
As discussed previously, Routers define more specifically which captured data from a source node should be sent to which specific nodes in a target node group. Table Triggers define which tables should be synchronized. Table Routing defines how the Routers and Table Triggers work together, specifying what tables are associated with each router (and thus the direction the table data flows).
The simplest way to set up Table Routing is to use the Auto Create… button.
The default entry point for the auto creation is from the triggers perspective. This will allow you to select table triggers first then routers.
Clicking Next to select from available routers.
Select the routers (direction) to associate with the previously selected triggers.
Click Save to install the triggers on the database and begin data capture.
You can also select routers on the first screen of the auto create if you would like to select routers first then triggers. Both approaches will result in the same table routing.
Select from available routers.
Clicking Next to select from available table triggers.
Select the table triggers to associate with the previously selected routers.
Click Save to install the triggers on the database and begin data capture.
The table routing elements created by the wizard can be maintained from the Table Routing List Screen. New table routing entries can also be created manually from this screen if desired.
SymmetricDS will not install table triggers on the database until they are associated with a router through table routing. |
Once a table routing relationship is created data capture will begin. |
- Table Trigger
-
The table trigger determines the source of data.
- Router
-
The router determines where data will be sent.
- Initial Load Select
-
A SQL expression used in the WHERE clause of the SELECT that extracts the table during initial load. Leave blank to retrieve all rows. For correlated joins, reference the table using the "t" alias. Variables are substituted for
$(groupId)
,$(nodeId)
, and$(externalId)
. See Variables section for formatting and manipulation of variables.
- Initial Load Delete
-
If
initial.load.delete.first
parameter is enabled, this SQL expression is used in the WHERE clause of the DELETE that clears the table on the target node at the beginning of the initial load. - Initial Load Order
-
Numeric position for this table in the initial load, sent in ascending numeric order. When two numeric values are the same, the ordering is based on foreign key constraints. Use a negative number to exclude the table from initial load.
- Enabled
-
When enabled, changes are captured and routed into batches for the table. When disabled, changes are no longer captured for the table and any outstanding changes are placed into batches with a status of "unrouted".
- Ping Back Enabled
-
When enabled, synchronized rows with the Sync On Incoming option set on a trigger will be routed back to the source node. By default, the data is not routed back to the source node (to prevent endless loops of data changes). A reason to turn this option on is when a transform changes some of the data and the transformed data needs to be returned to the source node.
4.9. File Triggers
In addition to supporting database synchronization, SymmetricDS also supports File Synchronization. Similar to database synchronization which allows configuring [Table Triggers], SymmetricDS also supports setting up File Triggers. A file trigger is equivalent to specifying a directory structure or path that should be "watched" for files that need to be synchronized.
- File Trigger Id
-
Unique identifier for a trigger.
- Channel
-
The channel_id of the channel that data changes will flow through.
- Reload Channel Id
-
The channel_id of the channel that will be used for reloads.
- Base Directory
-
The base directory on the source node that files will be synchronized from.
- Recurse
-
Whether to synchronize child directories.
- Include Files
-
Wildcard-enabled (*), comma-separated list of file to include in synchronization.
- Exclude Files
-
Wildcard-enabled (*), comma-separated list of file to exclude from synchronization.
- Sync On Create
-
Whether to capture and send files when they are created.
- Sync On Modified
-
Whether to capture and send files when they are modified.
- Sync On Delete
-
Whether to capture and send files when they are deleted.
- Sync On Ctl File
-
Combined with sync_on_create, determines whether to capture and send files when a matching control file exists. The control file is a file of the same name with a '.ctl' extension appended to the end.
- Delete After Sync
-
Determines whether to delete the file after it has synced successfully.
- Before Copy Script
-
A beanshell script that is run at the target node right before the file copy to it’s destination directory.
- After Copy Script
-
A beanshell script that is run at the target node right after the file copy to it’s destination directory.
4.9.1. BeanShell Scripts
There are two types of Bean Shell scripts that can be leveraged to customize file synchronization behavior:
- Before copy script
-
This runs on delivery of a file before it is copied to it’s target location
- After copy script
-
This run on delivery of a file after it is copied to it’s target location
Each of these scripts have access to local variables that can be read or set to affect the behavior of copying files.
- targetBaseDir
-
The preset base directory as configured in file trigger or overwritten in file trigger router. This variable can be set by the before copy script to set a different target directory.
- targetFileName
-
The name of the file that is being synchronized. This variable can be overwritten by the before copy script to rename a file at the target.
- targetRelativeDir
-
The name of a directory relative to the target base directory to which the target file will be copied. The default value of this variable is the relative directory of the source. For example, if the source base directory is /src and the target base directory is /tgt and the file /src/subfolder/1.txt is changed, then the default targetRelativeDir will be subfolder. This variable can be overwritten by the before_copy_script to change the relative directory at the target. In the above example, if the variable is set to blank using the following script, then the target file will be copied to /tgt/1.txt.
targetRelativeDir = "";
- processFile
-
This is a variable that is set to true by default. A custom before copy script may process the file itself and set this variable to false to indicate that the file should NOT be copied to its target location.
- sourceFileName
-
This is the name of the file.
- sourceFilePath
-
This is the path where the file can be found relative to the batch directory.
- batchDir
-
This is the staging directory where the batch has been extracted. The batchDir + sourceFilePath + sourceFileName can be used to locate the extracted file.
- engine
-
This is the bound instance of the ISymmetricEngine that is processing a file. It gives access to all of the APIs available in SymmetricDS.
- sourceNodeId
-
This is a bound variable that represents the nodeId that is the source of the file.
- log
-
This is the bound instance of an org.slf4j.Logger that can be used to log to the SymmetricDS log file.
File file = new File(batchDir + "/" + sourceFilePath + "/" + sourceFileName);
if (file.exists()) {
String path = file.getAbsolutePath();
cp (path,"/backup/" + sourceFileName);
}
4.10. File Routing
The file routing concept is identical to the Table Routing concept except that it is for files versus database tables. The File Triggers specify which directory structures on the source node to watch, and the Routers define where the data is sent based on the configured router. Similar to Table Routing the simplest way to set up file routing is via the use of the Auto Create button.
The default entry point for the auto creation is from the file triggers perspective. This will allow you to select file triggers first then routers.
Click Next to select from available routers.
Select the routers (direction) to associate with the previously selected file triggers.
Click Save to setup the file triggers and begin file sync.
You can also select routers on the first screen of the auto create if you would like to select routers first then file triggers. Both approaches will result in the same file routing.
Select from available routers.
Click Next to select from available file triggers.
Select the file triggers to associate with the previously selected routers.
Click Save to setup the file routers and begin file sync.
The file routing elements created by the wizard can be maintained from the File Routing List Screen. New file routing entries can also be created manually from this screen if desired.
SymmetricDS will not create file triggers until they are associated with a router through file routing. |
Once a file routing relationship is created changes on the base directory will be captured and file sync will begin. |
- File Triggers
-
The file trigger to link.
- Routers
-
The router to link.
- Target Base Directory
-
The base directory on the target node that files will be synchronized to.
- Conflict Strategy
-
The strategy to employ when a file has been modified at both the client and the server.
source_wins |
The source file will be used when a conflict occurs. |
target_wins |
The target file will be used when a conflict occurs. |
manual |
If a conflict occurs the batch will be put in ER (error) status and require manual intervention to resolve the issue. |
newer_wins |
If a conflict occurs, a comparison between last modified date of the file incoming and the file currently on disk will be compared and the newest will win. This assumes the system clocks on each machine are in sync to perform an accurate comparison. |
older_wins |
If a conflict occurs, a comparison between last modified date of the file incoming and the file currently on disk will be compared and the oldest will win. This assumes the system clocks on each machine are in sync to perform an accurate comparison. |
- Initial Enabled
-
Indicates whether this file trigger should be initial loaded.
- Enabled
-
Indicates whether this file trigger router is enabled or not.
4.11. Conflicts
Conflict detection is the act of determining if an insert, update or delete is in "conflict" due to the target data row not being consistent with the data at the source prior to the insert/update/delete.
-
Detection - How to detect a conflict when loading data at the target.
-
Resolution - When a row is in conflict, what to do with it when loading at the target.
-
Ping Back - What data to capture at target during resolution, if any, that will be sent back to source.
- Conflict Id
-
Unique identifier for a specific conflict detection setting.
- Group Link
-
References a node group link.
- Detection Type
-
Indicates the strategy to use for detecting conflicts during a dml action.
Conflicts are detected while data is being loaded into a target system. |
USE_PK_DATA |
Indicates that only the primary key is used to detect a conflict. If a row exists with the same primary key, then no conflict is detected during an update or a delete. Updates and deletes rows are resolved using only the primary key columns. If a row already exists during an insert then a conflict has been detected. |
USE_CHANGED_DATA |
Indicates that the primary key plus any data that has changed on the source system will be used to detect a conflict. If a row exists with the same old values on the target system as they were on the source system for the columns that have changed on the source system, then no conflict is detected during an update or a delete. If a row already exists during an insert then a conflict has been detected. |
USE_OLD_DATA |
Indicates that all of the old data values are used to detect a conflict. Old data is the data values of the row on the source system prior to the change. If a row exists with the same old values on the target system as they were on the source system, then no conflict is detected during an update or a delete. If a row already exists during an insert then a conflict has been detected. |
USE_TIMESTAMP |
Indicates that the primary key plus a timestamp column (as configured in detect_expression ) will indicate whether a conflict has occurred. If the target timestamp column is not equal to the old source timestamp column, then a conflict has been detected. If a row already exists during an insert then a conflict has been detected. You must specify the name of the column containing a timestamp to use in the detect_expression. |
USE_VERSION |
Indicates that the primary key plus a version column (as configured in detect_expression ) will indicate whether a conflict has occurred. If the target version column is not equal to the old source version column, then a conflict has been detected. If a row already exists during an insert then a conflict has been detected. You must specify the name of the column containing a version number to use in the detect_expression. |
- Resolution Type
-
The choice of how to resolve a detected conflict is configured via the resolve type.
FALLBACK |
Indicates that when a conflict is detected the system should automatically apply the changes anyways. If the source operation was an insert, then an update will be attempted. If the source operation was an update and the row does not exist, then an insert will be attempted. If the source operation was a delete and the row does not exist, then the delete will be ignored. The resolve_changes_only flag controls whether all columns will be updated or only columns that have changed will be updated during a fallback operation. |
IGNORE |
Indicates that when a conflict is detected the system should automatically ignore the incoming change. The resolve_row_only column controls whether the entire batch should be ignore or just the row in conflict. |
MANUAL |
Indicates that when a conflict is detected the batch will remain in error until manual intervention occurs. A row in error is inserted into the INCOMING_ERROR table. The conflict detection id that detected the conflict is recorded (i.e., the conflict_id value from CONFLICT), along with the old data, new data, and the "current data" (by current data, we mean the unexpected data at the target which doesn’t match the old data as expected) in columns old_data, new_data, and cur_data. In order to resolve, the resolve_data column can be manually filled out which will be used on the next load attempt instead of the original source data. The resolve_ignore flag can also be used to indicate that the row should be ignored on the next load attempt. |
NEWER_WINS |
Indicates that when a conflict is detected by USE_TIMESTAMP or USE_VERSION that the either the source or the target will win based on the which side has the newer timestamp or higher version number. The resolve_row_only column controls whether the entire batch should be ignore or just the row in conflict. |
To make a primary node group always win a conflict, use a "fallback" resolution on group links where primary is the source and an "ignore" resolution on group links where primary is the target. |
- Ping Back
-
For each configured conflict, you also have the ability to control if and how much "resolved" data is sent back to the node whose data change is in conflict. This "ping back" behavior is specified by the following options.
REMAINING_ROWS |
The resolved data of the single row in the batch in conflict, along with the entire remainder of the batch, is sent back to the originating node. |
SINGLE_ROW |
The resolved data of the single row in the batch that caused the conflict is sent back to the originating node. |
OFF |
No data is sent back to the originating node, even if the resolved data doesn’t match the data the node sent. |
- Detection Expression
-
An expression that provides additional information about the detection mechanism. If the detection mechanism is use_timestamp or use_version then this expression will be the name of the timestamp or version column. The detect_expression is also used to exclude certain column names from being used. For example, to exclude column1 and column2, the expression is "excluded_column_names=column1,column2".
- Resolve Changes Only
-
Indicates that when applying changes during an update that only data that has changed should be applied. Otherwise, all the columns will be updated. This really only applies to updates.
- Resolve Row Only
-
When 'resolve row only' is set to true, the system will ignore only the rows in conflict. When 'resolve row only' is set to false, the system will ignore the entire batch. This applies to a resolve type of 'ignore'.
- Channel
-
Optional channel that this setting will be applied to.
- Target Catalog
-
Optional database catalog that the target table belongs to. Only use this if the target table is not in the default catalog.
- Target Schema
-
Optional database schema that the target table belongs to. Only use this if the target table is not in the default schema.
- Target Table
-
Optional database table that this setting will apply to. If left blank, the setting will be for any table in the channel (if set) and in the specified node group link.
Be aware that conflict detection will not detect changes to binary columns in the case where use_stream_lobs is true in the trigger for the table. In addition, some databases do not allow comparisons of binary columns whether use_stream_lobs is true or not. |
Some platforms do not support comparisons of binary columns. Conflicts in binary column values will not be detected on the following platforms: DB2, DERBY, ORACLE, and SQLSERVER. |
4.12. Transforms
Transforms allow you to manipulate data on a source node or on a target node, as the data is being loaded or extracted.
The transform source table must be configured for synchronization through a linked trigger (see Table Triggers). |
The source trigger creates the synchronization data, while the transformation configuration decides what to do with the synchronization data as it is either being extracted from the source or loaded into the target. You have the flexibility of defining different transformation behavior depending on whether the source change that triggered the synchronization was an Insert, Update, or Delete. In the case of Delete, you even have options on what exactly to do on the target side, be it a delete of a row, setting columns to specific values, or absolutely nothing at all.
- Transform Id
-
Unique identifier of a specific transform.
- Group Link
-
The group link defining which direction the transform will process.
- Transform Point
-
Where this transform will occur. The options include:
EXTRACT |
The transform will execute while data is being extracted from the source. This means the transform will have access to the source’s database. |
LOAD |
The transform will execute while data is being loaded into the target. This means the transform will have access to the target’s database. |
- Column Policy
-
Indicates whether unspecified columns are passed thru or if all columns must be explicitly defined. The options include:
SPECIFIED |
Indicates that only the transform columns that are defined will be the ones that end up as part of the transformation. |
IMPLIED |
Indicates that if not specified, then columns from the source are passed through to the target. This is useful if you just want to map a table from one name to anther or from one schema to another. It is also useful if you want to transform a table, but also want to pass it through. You would define an implied transform from the source to the target and would not have to configure each column. |
NONE |
The delete results in no target changes. |
- Source Catalog
-
Name of the catalog of the configured source table. This should only be set if Use Source Catalog/Schema or Target Catalog are set on the Router.
- Source Schema
-
Name of the schema for the configured source table. This should only be set if Use Source Catalog/Schema or Target Schema are set on the Router.
- Source Table
-
The name of the source table that will be transformed.
- Target Catalog
-
Optional name for the catalog a target target table is in. Only use this if the target table is not in the default catalog.
- Target Schema
-
Optional name of the schema a target target table is in. Only use this if the target table is not in the default schema."
- Target Table
-
The name of the target table.
- Update First
-
This option overrides the default behavior for an Insert operation. Instead of attempting the Insert first, SymmetricDS will always perform an Update first and then fall back to an Insert if that fails. Note that, by default, fall back logic always applies for Insert and Updates. Here, all you a specifying is whether to always do an Update first, which can have performance benefits under certain situations you may run into (see Operation Change).
- Delete Action
-
An action to take upon delete of a row.
DEL_ROW |
The delete results in a delete of the row as specified by the pk columns defined in the transformation configuration. |
UPDATE_COL |
The delete results in an update operation (see Operation Change) on the target which updates the specific rows and columns based on the defined transformation. |
NONE |
The delete results in no target changes. |
- Update Action
-
An action to take upon update of a row.
UPD_ROW |
The update performs normally. |
INS_ROW |
The update is transformed into an insert instead. |
DEL_ROW |
The update is transformed into a delete instead. |
NONE |
The update is ignored and no changes are made. |
- Transform Order
-
For a single source operation that is mapped to a transformation, there could be more than one target operation that takes place. You may control the order in which the target operations are applied through a configuration parameter defined for each source-target table combination. This might be important, for example, if the foreign key relationships on the target tables require you to execute the transformations in a particular order.
-
Copy a column from a source table to two (or more) target table columns,
-
Merge columns from two or more source tables into a single row in a target table,
-
Insert constants in columns in target tables based on source data synchronizations,
-
Insert multiple rows of data into a single target table based on one change in a source table,
-
Apply a Bean Shell script to achieve a custom transform when loading into the target database.
You must define columns for the transformation that are sufficient to fill in any primary key or other required data in the target table. |
4.12.1. Operation Change
By default the the "source operation" or "source DML type" (i.e., an insert, a delete, or an update), which initiated the transform execution will be the same operation applied to the target. There are two ways you can override this behavior.
Source Operation | Target Operation | Setting |
---|---|---|
INSERT |
UPDATE followed by INSERT if update was unsuccessful |
Update First |
DELETE |
UPDATE |
Delete Action is set to UPDATE_COL |
Update First
Delete Action
4.12.2. Columns
Transforms are not complete until the columns involved in the transformation have been defined. Typically there will be several columns defined for each transform, each of which will define a source column and a target column.
To see a transform’s columns, select the transform and click "Edit Columns".
- PK
-
Indicates that this mapping is used to define the "primary key" for identifying the target row(s) (which may or may not be the true primary key of the target table). This is used to define the "where" clause when an Update or Delete on the target is occurring.
Unless the column policy is "IMPLIED" at least one row marked as a pk should be present for each transform_id. |
- Source
-
The source column name to be transformed.
- Target
-
The target column name to be transformed.
- Transform On
-
Defines whether this entry applies to source operations of Insert, Update, Delete, or All.
- Type
-
The name of a specific type of transform, default type is "copy". See Transform Types for more information.
- Expression
-
An expression that is specific to the type of transform that is configured in transform_type. See Transform Types for more information.
- Order
-
In the event there are more than one columns to transform, this defines the relative order in which the transformations are applied.
4.12.3. Transform Types
There are several pre-defined transform types available in SymmetricDS. Additional ones can be defined by creating and configuring an extension point which implements the IColumnTransform interface. The pre-defined transform types include the following:
Copy Transform
This transformation type copies the source column value to the target column. This is the default behavior.
Remove Transform
This transformation type excludes the source column. This transform type is only valid for a table transformation type of 'IMPLIED' where all the columns from the source are automatically copied to the target.
Constant Transform
This transformation type allows you to map a constant value to the given target column. The constant itself is placed in transform expression.
Variable Transform
This transformation type allows you to map a built-in dynamic variable to the given target column. The variable name is placed in transform expression. The following variables are available:
system_date |
current system date |
system_timestamp |
current system date and time using default timezone |
system_timestamp_utc |
current system date and time using UTC timezone |
source_node_id |
node id of the source |
target_node_id |
node id of the target |
null |
null value |
old_column_value |
column’s old value prior to the DML operation. |
Additive Transform
This transformation type is used for numeric data. It computes the change between the old and new values on the source and then adds the change to the existing value in the target column. That is, target = target + multiplier (source_new - source_old), where multiplier is a constant found in the transform expression (default is 1 if not specified).
If the source column changed from a 2 to a 4, the target column is currently 10, and the multiplier is 3, the effect of the transform will be to change the target column to a value of 16 ( 10+3*(4-2) ⇒ 16 ).
In the case of deletes, the new column value is considered 0 for the purposes of the calculation. |
Substring Transform
This transformation computes a substring of the source column data and uses the substring as the target column value. The transform expression can be a single integer ( n , the beginning index), or a pair of comma-separated integers ( n,m - the beginning and ending index). The transform behaves as the Java substring function would using the specified values in transform expression.
Left Transform
This transform copies the left most number of characters specified.
BLeft Transform
This transform copies the left most number of bytes specified.
Lookup Transform
This transformation determines the target column value by using a query, contained in transform expression to lookup the value in another table. The query must return a single row, and the first column of the query is used as the value. Your query references source column values by prefixing with a colon (e.g., :MY_COLUMN). Also, you can reference old values with :OLD_COLUMN and previously transformed columns (see transform order) with :TRM_COLUMN.
Multiply Transform
This transformation allows for the creation of multiple rows in the target table based on the transform expression. This transform type can only be used on a primary key column. The transform expression is a SQL statement, similar to the lookup transform, except it can return multiple rows that result in multiple rows for the target table. The first column of the query is used as the value for the target column. The query can reference source column values by prefixing them with a colon (e.g., :MY_COLUMN).
BeanShell Script Transform
This transformation allows you to provide a BeanShell script in the transform expression and executes the script at the time of transformation. Beanshell transforms can return either a String value or an instance of NewAndOldValue. Some variables are provided to the script:
<COLUMN_NAME> |
The variable name is the source column name in uppercase of the row being changed (replace <COLUMN_NAME> with your column) |
currentValue |
The value of the current source column |
oldValue |
The old value of the source column for an updated row |
sqlTemplate |
org.jumpmind.db.sql.ISqlTemplate object for querying or updating the database |
channelId |
name of the channel on which the transformation is happening |
sourceNode |
org.jumpmind.symmetric.model.Node object that represents the node from where the data came |
sourceNodeId |
same as sourceNode.getNodeId() |
sourceNodeGroupId |
same as sourceNode.getNodeGroupId() |
sourceNodeExternalId |
same as sourceNode.getNodeExternalId() |
targetNode |
org.jumpmind.symmetric.model.Node object that represents the node where the data is being loaded. |
targetNodeId |
same as targetNode.getNodeId() |
targetNodeGroupId |
same as targetNode.getNodeGroupId() |
targetNodeExternalId |
same as targetNode.getNodeExternalId() |
transformColumn |
org.jumpmind.symmetric.io.data.transform.TransformColumn that is the transform configuration |
includeOn |
org.jumpmind.symmetric.io.data.transform.TransformColumn.IncludeOnType, same as transformColumn.getIncludeOn(), tells whether column transform is configured for all, insert, update, or delete |
sourceSchemaName |
source schema name that the transform matched |
sourceCatalogName |
source catalog name that the transform matched |
sourceTableName |
source table name that the transform matched |
transformedData |
org.jumpmind.symmetric.io.data.transform.TransformedData, the model object representing the outputted transformed data |
sourceDmlType |
org.jumpmind.symmetric.io.data.DataEventType that is the source row change type, either insert, update, or delete |
sourceDmlTypeString |
same as sourceDmlType.toString(), returning insert, update, or delete |
log |
org.slf4j.Logger, write to the log file |
context |
org.jumpmind.symmetric.io.data.DataContext containing internal variables and also acts like a Map for sharing variables between transforms for the current sync session |
bshContext |
java.util.Map, static map of variables to share between transforms |
engine |
org.jumpmind.symmetric.ISymmetricEngine, access to engine functions and services |
if (currentValue > oldValue) { return currentValue * .9; } else { return PRICE; }
if (currentValue != null && currentValue.length() == 0) { return org.jumpmind.symmetric.io.data.transform.NewAndOldValue(null, oldValue); } else { return currentValue; }
String newFilePath = PATH; String oldFilePath = null; if (transformedData.getOldSourceValues() != null) { oldFilePath = transformedData.getOldSourceValues().get("path"); } if (oldFilePath == null) { return newFilePath; } else { return oldFilePath; }
Identity Transform
This transformation allows you to insert into an identity column by letting the database compute a new identity, instead of loading an explicit value from a source database. This transform is needed on databases like SQL-Server and Sybase, which have an INSERT_IDENTITY option that is normally ON for normal data sync. By using the identity transform, the INSERT_IDENTITY is set to OFF, so the next value is generated by the database.
Mathematical Transform
This transformation allows you to perform mathematical equations in the transform expression. Some variables are provided to the script:
#{COLUMN_NAME} |
A variable for a source column in the row, where the variable name is the column name in uppercase (replace COLUMN_NAME with your column name). |
#{currentValue} |
The value of the current source column |
#{oldValue} |
The old value of the source column for an updated row. |
#{currentValue} - #{oldValue} * #{PRICE}
Copy If Changed
This transformation will copy the value to the target column if the source value has changed. More specifically, the copy will occur if the the old value of the source does not equal the new value.
IgnoreColumn |
If old and new values are equal, the COLUMN will be ignored |
{empty string} |
If old and new values are equal, the ROW will be ignored |
Value Map Transform
This transformation allows for simple value substitutions through use of the transform expression. The transform expression should consist of a space separated list of value pairs of the format sourceValue=TargetValue. The column value is used to locate the correct sourceValue, and the transform will change the value into the corresponding targetValue. A sourceValue of * can be used to represent a default target value in the event that the sourceValue is not found. Otherwise, if no default value is found, the result will be null.
transform expression | source value | target value (result) |
---|---|---|
s1=t1 s2=t2 s3=t3 *=t4 |
s1 |
t1 |
s1=t1 s2=t2 s3=t3 *=t4 |
s2 |
t2 |
s1=t1 s2=t2 s3=t3 *=t4 |
s3 |
t3 |
s1=t1 s2=t2 s3=t3 *=t4 |
s4 |
t4 |
s1=t1 s2=t2 s3=t3 *=t4 |
s5 |
t4 |
s1=t1 s2=t2 s3=t3 *=t4 |
null |
t4 |
Clarion Date Time
Convert a Clarion date column with optional time column into a timestamp. Clarion dates are stored as the number of days since December 28, 1800, while Clarion times are stored as hundredths of a second since midnight, plus one. Use a source column of the Clarion date and a target column of the timestamp. If the Clarion time exists in a separate column it can optionally be provided through the transform expression to be included in the target timestamp column.
Columns To Rows
Convert column values from a single source row into a row per column value at the target. Two column mappings are needed to complete the work:
columnsToRowsKey |
Maps which source column is used |
column1=key1,column2=key2
columnsToRowsValue |
Maps the value |
changesOnly=true |
Convert only rows when the old and new values have changed |
ignoreNulls=true |
Convert only rows that are not null |
TODO add image
"fieldid" mapped as "columnsToRowsKey" with expression of "user1=1,user2=2" and column "color" mapped as "columnsToRowsValue" would convert a row with columns named "user1" and "user2" containing values "red" and "blue" into two rows with columns "fieldid" and "color" containing a row of "1" and "red" and a row of "2" and "blue".
isEmpty Transform
This transformation checks to see if a string is null or zero length. If it is empty the replacement value will be used. If no value is provided null will be used as a default replacement for empty values.
isBlank Transform
This transformation checks to see if a string is null or zero length after trimming white spaces. If it is blank the replacement value will be used. If no value is provided null will be used as a default replacement for blank values.
Null Value Transform
This transformation checks to see if the source value is null and if so replaces it with the provided value.
Deleted Columns Transform
For an update, this transform returns a comma-separated list of columns names that were set to null and previously not null.
4.12.4. Virtual Columns
Transforms provide the ability to create "virtual columns" which can pass data between nodes for use by other SymmetricDS processes.
-
Extract transform adds virtual column to be processed by a target load transform.
-
Extract transform adds virtual column to be processed by a target load filter.
-
Extract transform adds virtual column to be processed by a source router.
4.13. Load Filters
Load Filters are a way to take a specific action when a row of data is loaded by SymmetricDS at a destination database node.
Load filters run for each row of data being loaded. |
- Filter Id
-
The unique identifier for the load filter
- Group Link
-
The group link for with the load filter will be applied.
- Type
-
The type of load filter. Today only Bean Shell and Java are supported ('BSH', 'Java', 'SQL').
- Target Table
-
The table on the target which the load filter will execute when changes occur on it.
Use the wildcard * to specify all tables configured through the group link. Partial table names in conjunction with a wildcard are NOT supported. If the wildcard is used it should be the only value. |
- Filter Order
-
The order in which load filters should execute if there are multiple scripts pertaining to the same source and target data.
- Filter On Update
-
Determines whether the load filter takes action (executes) on a database update statement.
- Filter On Insert
-
Determines whether the load filter takes action (executes) on a database insert statement.
- Filter On Delete
-
Determines whether the load filter takes action (executes) on a database delete statement.
- Fail On Error
-
Whether we should fail the batch if the filter fails.
- Target Catalog
-
The name of the target catalog for which you would like to watch for changes.
- Target Schema
-
The name of the target schema for which you would like to watch for changes.
4.13.1. Load Filter Scripts
Load filters are based on the execution of a script. You have the ability to set the execution point of the script at 6 different points. A script can be provided for one or more of these execution points.
Return Values
|
Before Write Script |
The script to execute before the database write occurs. |
After Write Script |
The script to execute after the database write occurs. |
Batch Complete Script |
The script to execute after the entire batch completes. |
Batch Commit Script |
The script to execute after the entire batch is committed. |
Batch Rollback Script |
The script to execute if the batch rolls back. |
Handle Error Script |
A script to execute if data cannot be processed. |
Variable | BSH | SQL | JAVA | Description |
---|---|---|---|---|
engine |
X |
The Symmetric engine object. |
||
COLUMN_NAME |
X |
X |
The source values for the row being inserted, updated or deleted. |
|
OLD_COLUMN_NAME |
X |
X |
The old values for the row being inserted, updated or deleted. |
|
context |
X |
X |
The data context object for the data being inserted, updated or deleted. . |
|
table |
X |
X |
The table object for the table being inserted, updated or deleted. |
|
data |
X |
X |
The |
|
error |
X |
X |
|
authListener = new javax.mail.Authenticator() {
protected javax.mail.PasswordAuthentication getPasswordAuthentication() {
return new javax.mail.PasswordAuthentication(engine.getParameterService().getString("mail.smtp.username"),
engine.getParameterService().getString("mail.smtp.password"));
}
};
if (bsh.shared.mailMap == void) {
bsh.shared.mailMap = new HashMap();
}
String batchId = context.getBatch().getNodeBatchId();
String targetNodeId = context.getBatch().getTargetNodeId();
if (!bsh.shared.mailMap.containsKey(batchId)) {
bsh.shared.mailMap.put(batchId, Boolean.TRUE);
javax.mail.Session session = javax.mail.Session.getInstance
(engine.getParameterService().getAllParameters(), authListener);
javax.mail.internet.MimeMessage msg = new
javax.mail.internet.MimeMessage(session);
msg.setFrom(new javax.mail.internet.InternetAddress
(engine.getParameterService().getString("mail.smtp.from")));
msg.setRecipients(javax.mail.Message.RecipientType.TO,
engine.getParameterService().getString("mail.smtp.to"));
msg.setSubject("SymmetricDS - batch " + batchId + " is in error at node " + targetNodeId);
msg.setSentDate(new java.util.Date());
msg.setText(org.apache.commons.lang.exception.ExceptionUtils.
getFullStackTrace(error));
javax.mail.Transport.send(msg);
}
4.13.2. Custom Load Filters
Custom load filters can be created by implementing the IDatabaseWriterFilter, see IDatabaseWriterFilter for more information.
4.14. Extensions
Extensions are custom code written to a plug-in interface, which allows them to run inside the engine and change its default behavior. Saving extension code in the configuration has the advantage of dynamically running without deployment or restarting. Configured extensions are available to other nodes and move between environments when configuration is exported and imported.
- Extension Id
-
Identifier for a unique extension entry.
- Extension Type
-
Type of extension, either written in Java or BeanShell. Java extensions are compiled to bytecode on first use and may be compiled to native code by the Just-In-Time (JIT) compiler, giving them the best performance. BeanShell extensions are parsed on first use and interpreted at runtime, but they are easier to write because of loose typing and short-cuts with syntax.
Java |
Indicates that Java code is provided in the extension text. |
BSH |
Indicates that BeanShell code is provided in the extension text. Built-in variables are available for engine, sqlTemplate, and log. |
- Interface Name
-
The full class name for the interface implemented by the extension, including the package name. Only needed for extension type of BSH.
- Node Group Id
-
The node group where this extension will be active and run.
- Enabled
-
Whether or not the extension should be run.
- Extension Order
-
The order to register extensions when multiple extensions for the same interface exist.
- Extension Text
-
The code for the extension that will be compiled or interpreted at runtime.
Add a new transform type called "mask" that replaces all characters in a string with an asterisk except the last number of characters specified by the user in the expression. This BeanShell extension uses the ISingleValueColumnTransform interface and applies only to the "corp" node group.
Click the New button to create a new extension.
Click the Edit Script button to edit the script for the extension.
import org.apache.commons.lang.StringUtils;
isExtractColumnTransform() {
return true;
}
isLoadColumnTransform() {
return true;
}
transform(platform, context, column, data, sourceValues, newValue, oldValue) {
if (StringUtils.isNotBlank(newValue)) {
String expression = column.getTransformExpression();
if (StringUtils.isNotBlank(expression)) {
count = newValue.length() - Integer.parseInt(expression.trim());
return StringUtils.repeat("*", count) + newValue.substring(count);
}
}
return newValue;
}
Extensions Tips and Tricks
For BeanShell, implement only the methods needed from an interface, then write a special method of "invoke(method, args) {}"
that will be called for any unimplemented methods.
|
4.15. Jobs
In SymmetricDS, jobs are tasks that are scheduled to run by a job manager. These jobs do the majority of synchronization work for SymmetricDS. In addition to the built in jobs, you can create custom jobs in Configuration to run for specified node groups.
- Job Name
-
The Job Name is a unique identifier to refer to the job
- Job Type
-
The type of job. Possible types are listed below.
Type | Provided | Description |
---|---|---|
BSH |
x |
A job that will compile and run a beanshell script. |
JAVA |
x |
A job that will compile and run a java script. |
SQL |
x |
A job that will compile and run a sql script. |
- Node Group
-
Targets the job at a specific node group id. To target all groups, use the value of 'ALL'.
- Schedule
-
Specifies how often this job should run. If the schedule is just a number, it is interpreted as milliseconds. So 60000 means to run the job every minute. Otherwise, a cron expression can be specified. Some sample cron expressions include:
-
Every fifth minute: 0 0/5 * * * *
-
Every night at midnight: 0 0 0 * * *
-
Every ten minutes at the 1 o’clock hour: 0 0/10 1 * * *
-
Note that parameter values will be created for the schedule, in the form of job.<name>.cron OR job.<name>.period.time.ms, depending on if a cron of period of time was entered. If both the cron and period parameters are present, the cron will take precedence.
- Job Expression
-
The payload of the job. For BSH jobs, this should be a beanshell script. For Java jobs, this should be Java code of a class which implements the IJob interface. For SQL jobs, this should be a sql script. BSH jobs are written in beanshell script (http://www.beanshell.org/). The beanshell has the following variables available:
-
engine - An instances of the current ISymmetricEngine
-
sqlTemplate - An instance of ISqlTemplate which can be used to run SQL statements.
-
log - An logger which can be used to write messages to the log.
-
This is an example BSH job:
// Configuration for this extension...
final String TABLE_NAME = "item";
final String CHANNEL_ID = "item";
final String ROUTER_ID = "corp_2_store";
// End Configuration.
String INSERT_RELOAD_DATA_TEMPLATE =
"insert into sym_data ( table_name, event_type, row_data, trigger_hist_id, channel_id, transaction_id, create_time)" +
" select t.source_table_name, 'R', 'item_id > ''1''', " +
" h.trigger_hist_id, t.channel_id, '1', current_timestamp" +
" from sym_trigger t inner join sym_trigger_router tr on" +
" t.trigger_id=tr.trigger_id inner join sym_trigger_hist h on" +
" h.trigger_hist_id=(select max(trigger_hist_id) from sym_trigger_hist" +
" where trigger_id=t.trigger_id)" +
" where channel_id=? and" +
" tr.router_id like ? and" +
" (t.source_table_name = ?)" +
" order by tr.initial_load_order asc;";
int updatedCount = sqlTemplate.update(INSERT_RELOAD_DATA_TEMPLATE, new Object[]{CHANNEL_ID, ROUTER_ID, TABLE_NAME});
if (updatedCount == 1) {
log.info("Issued reload for table '" + TABLE_NAME + "'");
} else {
throw new SymmetricException("SyncOnHeartbeatExtension is designed to insert exactly 1 sym_data row. Instead inserted " +
updatedCount + ". Check TABLE_NAME, CHANNEL_ID, ROUTER_ID parameters in the extension itself.", null);
}
This is the same job as a Java job. This might perform a little better, but you’ll need to have a JDK (not just JRE) available on your nodes for this to compile.
// Configuration for this extension...
final String TABLE_NAME = "item";
final String CHANNEL_ID = "item";
final String ROUTER_ID = "corp_2_store";
// End Configuration.
String INSERT_RELOAD_DATA_TEMPLATE =
"insert into sym_data ( table_name, event_type, row_data, trigger_hist_id, channel_id, transaction_id, create_time)" +
" select t.source_table_name, 'R', 'item_id > ''1''', " +
" h.trigger_hist_id, t.channel_id, '1', current_timestamp" +
" from sym_trigger t inner join sym_trigger_router tr on" +
" t.trigger_id=tr.trigger_id inner join sym_trigger_hist h on" +
" h.trigger_hist_id=(select max(trigger_hist_id) from sym_trigger_hist" +
" where trigger_id=t.trigger_id)" +
" where channel_id=? and" +
" tr.router_id like ? and" +
" (t.source_table_name = ?)" +
" order by tr.initial_load_order asc;";
log.info("TESTING\n\n\n");
int updatedCount = sqlTemplate.update(INSERT_RELOAD_DATA_TEMPLATE, CHANNEL_ID, ROUTER_ID, TABLE_NAME);
if (updatedCount == 1) {
log.info("Issued reload for table '" + TABLE_NAME + "'");
} else {
throw new org.jumpmind.symmetric.SymmetricException("SyncOnHeartbeatExtension is designed to insert exactly 1 sym_data row. Instead inserted " +
updatedCount + ". Check TABLE_NAME, CHANNEL_ID, ROUTER_ID parameters in the extension itself.");
}
This is an example of a SQL job that updates the heartbeat_time of the current node. Available tokens are: :NODE_ID and :NODE_GROUP_ID.
update sym_node_host set heartbeat_time = now() where node_id = :NODE_ID;
delete from item where item_id = 0;
insert into ITEM (ITEM_ID, NAME) values (0,'tesing');
To add your job expression/script navigate to the Configure Jobs page, select your job and click the button "Edit Script". The following editor will appear.
4.16. Parameters
Parameters can be used to help tune and configure your SymmetricDS configuration. Parameters can be set for an individual node or for all nodes in your network.
See Parameter List for a complete list of parameters.
4.16.1. Targeting
Parameters can be set for a given node or node group to allow more flexibility in configuration.
Only certain parameters can be edited. To edit a SymmetricDS startup parameter, you must locate and edit the engine.properties file. |
4.16.2. Filtering
Parameters can be filtered in order to help find specific parameters or parameters named a certain way.
4.17. Users
Additional users may be set up to access the SymmetricDS web console.
- Authentication Method
-
Method to authenticate the user.
Internal |
Internal refers to users being stored in the SYM_CONSOLE_USER table. |
LDAP |
LDAP refers to users being authenticated through an LDAP server. See the LDAP section for more information. |
Admin |
Admin users have access to all functionalities of the SymmetricDS web console, including the Manage, Configure, and Explore tabs. Admin users also have full access to the connected databases. |
Read |
Read users can view the Manage and Configure tabs, but have no control over editing. Read users don’t have any access to the Explore tab, LDAP settings, Mail Server Settings, Monitor settings, or Notification settings. |
Write |
Write users have access to most functionalities of the SymmetricDS web console, including the Manage, Configure, and Explore tabs. Write users also have full access to the connected databases, but do not have any access to LDAP settings, Mail Server Settings, Monitor settings, or Notification settings. |
4.18. LDAP
Configuring a Users authentication on SymmetricDS using LDAP is as simple as setting up the following three Parameters.
- console.auth.ldap.baseDN
-
The LDAP base DN to search for a user. [ Default: ]
A list of base DNs can be specified by separating each entry by a pipe ("|") symbol.
For example:
ou=Users,o=IT,c=US,dc=corp,dc=local|ou=Users,o=Tech,c=US,dc=corp,dc=local
- console.auth.ldap.host
-
The LDAP server host name. [ Default: ]
- console.auth.ldap.searchAttribute
-
LDAP attribute to search for. [ Default: ]
These parameters can be set on the Configure LDAP page by filling out the form and clicking Save.
These parameters can also be set by manually by entering the desired values in Configure→Parameters.
You may test the values that have been input into the form to test the connection to your LDAP directory. To do this, click the Test button, enter the user credentials and click Test to test the authentication. If the authentication succeeded, save the form.
You must have values for all three of the parameter fields or the test will fail. |
4.19. License Key
The web console requires a valid license key before it will allow access to screens. The user is prompted automatically to enter a valid license key if one is missing. The license key can also be updated from the Configure License screen.
- License Info
-
A description of the license type.
- Holder
-
The company name or email address of the license holder.
- Effective Date
-
Date and time when the license will become valid.
- Expiration Date
-
Date and time when the license will no longer be valid.
- Max Maintenance
-
The end date and time for maintenance and support. Defaults to expiration date if not present.
- Max Nodes
-
The maximum number of nodes that can be created for synchronization.
- Max Tables
-
The maximum number of table triggers that can be created for synchronization.
- Max Rows
-
The maximum number of rows that can be synchronized in a 24-hour period.
- Instance ID
-
If present in the license key, this unique identifier must match the installation. If not present, the instance ID for the current installation is shown in parentheses.
The license key is a block of encoded text that is sent to the user over email, or it can be retrieved from the Support Center. When an installed license key expires, the web console will require a new valid key before allowing access, but data synchronization and command line access will continue to function normally.
4.20. Mail Server
A mail server can be configured for sending email notifications.
- Target Nodes
-
The node group ID that will use this configuration.
- Hostname
-
The hostname or IP address of the mail server to contact for sending mail.
- Transport
-
The transport mechanism is either SMTP (Simple Mail Transfer Protocol) or SMTPS (encrypted with SSL).
- Port
-
The default port for SMTP is 25, while the default port for SMTPS is 465.
- Use StartTLS
-
After connecting over SMTP, the TLS protocol is used to encrypt content.
- Use Authentication
-
The mail server requires a login and password before email can be sent.
- User
-
The user login to use for authentication.
- Password
-
The login password to use for authentication.
The "Test" button will use the current settings on the screen to connect to the mail server with the configured transport and report any errors.
4.21. Monitors
A monitor watches some part of the system for a problem, checking to see if the monitored value exceeds a threshold. (To be notified immediately of new monitor events, configure a notification.)
- Monitor ID
-
The monitor ID is a unique name to refer to the monitor.
- Target Nodes
-
The group of nodes that will run this monitor.
- Monitor Type
-
The monitor type is one of several built-in or custom types that run a specific check and return a numeric value that can be compared to a threshold value.
Type | Description |
---|---|
cpu |
Percentage from 0 to 100 of CPU usage for the server process. |
disk |
Percentage from 0 to 100 of disk usage (tmp folder staging area) available to the server process. |
memory |
Percentage from 0 to 100 of memory usage (tenured heap pool) available to the server process. |
batchError |
Number of incoming and outgoing batches in error. |
batchUnsent |
Number of outgoing batches waiting to be sent. |
dataUnrouted |
Number of change capture rows that are waiting to be batched and sent. |
dataGaps |
Number of active data gaps that are being checked during routing for data to commit. |
offlineNodes |
The number of nodes that are offline based on the last heartbeat time. The console.report.as.offline.minutes parameter controls how many minutes before a node is considered offline. |
log |
Number of entries found in the log for the specified severity level. |
- Threshold
-
When this threshold value is reached or exceeded, an event is recorded.
- Run Period
-
The time in seconds of how often to run this monitor. The monitor job runs on a period also, so the monitor can only run as often as the monitor job.
- Run Count
-
The number of times to run the monitor before calculating an average value to compare against the threshold.
- Severity Level
-
The importance of this monitor event when it exceeds the threshold.
- Enabled
-
Whether or not this monitor is enabled to run.
4.22. Notifications
A notification sends a message to the user when a monitor event records a system problem. First configure a monitor to watch the system and record events with a specific severity level. Then, configure a notification to match the severity level and write to the log or send an email.
- Notification ID
-
The notification ID is a unique name to refer to the notification.
- Target Nodes
-
The group of nodes that will run this monitor.
- Notification Type
-
The notification type is either a built-in or custom type that is given the list of monitor events to send.
Type | Description |
---|---|
log |
The monitor events are written to the log using the same severity level. The web console will indicate WARN and ERROR level notifications in the top-right corner, which are also displayed on the main Dashboard screen. |
The monitor events are sent in an email to a list of recipients. Use the expression for the comma-separated list of email addresses. Use the Configure→Mail Server screen to configure a mail server to use for sending emails. |
- Expression
-
Additional information to configure the notification type.
- Severity Level
-
Find monitor events that occur at this severity level or above.
- Enabled
-
Whether or not this notification is enabled to run.
5. Manage
This section will talk about how to manage and monitor SymmetricDS.
5.1. Nodes
Nodes can be added and managed in the Nodes screen under the Manage tab.
5.1.1. Add Node
Multiple nodes can be hosted in a single SymmetricDS instance. SymmetricDS will start a node for each properties file it finds in the engines directory.
Add nodes to your synchronization scenario by using the Node Setup Wizard. This wizard is automatically shown when less the 2 nodes are configured. It can also be accessed from the Manage Nodes screen by clicking the Add button.
Choosing node location
SymmetricDS uses HTTP protocol to send data between nodes and uses JDBC to connect to databases. HTTP is designed to for sending across networks and will perform better than JDBC connections. As a result the maximum performance will be achieved the closer each SymmetricDS node is to its data source. This will provide the best JDBC performance to read and write data from the database and utilizes the HTTP protocol to maximize the transfer of data across a network.
HTTP can also be converted to use HTTPS so that the information is encrypted. JDBC drivers usually do not supply the ability to encrypt the data. This is a big plus for setting up your nodes remotely and taking full advantage of HTTPS to be sure your data is safe
Remote Nodes
Remote nodes require that another installation of SymmetricDS be installed on a remote machine. The registration url shown on this screen will be used by the remote node during its installation process in order to properly connect to the SymmetricDS network.
Auto registration by default is turned off. This ensures a person manually allows remote nodes to connect. By clicking this button registration will occur automatically and not require manual intervention.
Local Nodes
Database Setup
Provide database credentials to connect the node to a database.
After selecting a database type the jdbc url will be populated for you based on the driver. Be sure to replace host name, port, and database name if necessary (varies by type).
Registration URL
Provide the registration url in order to register the node on the SymmetricDS network.
This url is the sync url of the Master Node.
Node Group
The list of groups will be provided from the Master Node.
A new group can be typed in though if the desired group is not present. Note, that the new group will need to be linked and associated to triggers and routers before synchronization will occur.
External ID
This is a unique identifier for the node.
For example, in retail examples this might be a register number when the node is the store.
Communication Settings
If your network will be accessing the web console through a proxy or a different host name that the one shown in the first bullet you can override the hostname to be used.
You can also select HTTPS or HTTP to be used for transferring data.
Load Existing Data
Often when new nodes are connected for synchronization they need to be initially loaded with existing data before synchronization was in place.
You can also indicate if you wish tables to be created in the new node as part of the initial load process if they do not already exist.
See Initial Loads for more details.
Finish
The node is now ready to be installed.
5.1.2. Load Data
A load is the process of seeding tables at a target node with data from a source node. Instead of capturing data, data is selected from the source table using a SQL statement and then it is streamed to the client.
As of 3.8 loading data has been consolidated into a single wizard. Request a load by clicking the Load Data button on the manage nodes screen.
This will open a new window that will walk through the steps screen by screen to build the load needed. If there were no selected rows on the manage nodes screen when this button was clicked the first screen will prompt for a source and target set of nodes. Multiple selections can be made here as long as all source nodes or all target nodes belong to the same group.
The next screen allows for a selection of all tables configured (full load) or a subset of tables configured (partial load). Note, this will be the first screen provided if rows were already selected on the manage nodes screen when the load data button was selected.
The second option on this screen is to determine what "before action" should occur before the load is run.
Nothing just send the data |
This assumes the tables are present and not need cleared out before the load can be run. If data already exists it will fall back to an update if the insert fails. This allows the load to be run repeatedly as needed. |
Create tables |
This will send create table statements to the target to match the source before loading any data. Use this option when the target database does not already contain the tables used on the source. |
Delete all data |
This will delete all data from the target table prior to loading data. This can be useful to accommodate data that is in the target but no longer in the source. By default just sending the data will only insert/update with the rows from the source so any old data will remain in place on the target unless this delete action is taken prior to loading. |
Truncate tables |
This will perform a truncate on all target tables prior to loading. |
Run custom SQL |
Allows a custom SQL statement to be executed on each table prior to loading. The use of %s will server as a variable to be replaced at runtime with the table name. Example: truncate table %s |
Partial loads will then see a table selection screen. Full loads will immediately be taken to the summary screen. The table selection screen allows individual tables to be selected as part of the load. There is also the ability to provide a where clause to be used to extract the data for a load. This allows control over what data should be loaded for a given table.
-
$(groupId)
-
$(nodeId)
-
$(externalId)
See Variables.
Finally a summary screen is presented to review all the settings for the load prior to adding it to the request queue. Loads are checked by the routing process so once the load has been saved it will be picked up and begin processing on the next run of the routing job.
A load’s progress can be monitored on the Outgoing Loads screen or the Outgoing Batches screen.
5.1.3. Control
Stopping a Node
Installed nodes are started automatically when the SymmetricDS server is started. An individual node instance can be stopped while other nodes continue to run.
To stop a node, select the node you want to stop and click on the Control button and choose Stop. The node’s status will indicate that is has been stopped.
From the command line, you can use JMX to stop a node. The following is an example. You would replace <engine name> with the name of the engine as found in the Node Properties File
bin/jmx --bean org.jumpmind.symmetric.<engine name>:name=Node --method stop
Uninstalling a Node
Uninstalling a node will remove all SymmetricDS database artifacts and delete the engine’s property file.
This can not be undone so be sure to uninstall with caution. |
To uninstall a node, select the node you want to uninstall and click on the Control button and choose Uninstall.
If the node has no children, you will be prompted by a confirm dialog to make sure you want to uninstall the node.
If the node has child nodes you will be told that uninstalling the parent node will uninstall all of the child nodes.
From the command line you can use the symadmin utility to uninstall a node.
bin/symadmin --engine <engine name> uninstall
5.1.4. Registration
In order for a node to synchronize with other nodes it must be registered. When a node is registered, it downloads its configuration as well as references to the nodes that it should sync with.
To allow a node to register, navigate to Manage Nodes on the server, click the Registration button and select Allow. Registration requests appear at the top of the list with a question mark (?) for the Node ID.
The registration menu has the following actions:
Allow |
Accept the request and register the node. The node is assigned a node ID and password, which are sent along with the configuration. If the |
Reject |
Reject the request by removing it. The node can still make additional registration requests. |
Reopen |
Open registration for a node that is already registered, which forces the node to use the |
Unregister |
Remove the node from any further data synchronization by removing registration, deleting any incoming batches, and marking any outgoing batches with status OK. |
You can remove a node from the command line with the following command:
bin/symadmin remove-node --engine <engine name> -n <node id>
A node is considered unregistered if it does not have an NODE_IDENTITY row. When a node is unregistered,
it will use the registration.url
defined in the Node Properties File to request registration.
The registration.url
of the new node is the sync.url
of the node that is being registered with.
Before a node is allowed to register, it must have an open registration. If there is no open registration, then a REGISTRATION_REQUEST is recorded.
You can open registration from the command line with the following command:
bin/symadmin open-registration --engine <engine name> <node group> <external id>
The <node group> and <external id> should match the group.id
and external.id
in the registering node’s Node Properties File.
Node registration is stored in the NODE and NODE_SECURITY tables. Nodes are only allowed to register if rows exist
for the registering node and the registration_enabled
flag is set to 1.
If the auto.registration
SymmetricDS parameter is set to true, then when a node attempts to register, the node will
automatically be accepted.
SymmetricDS allows you to have multiple nodes with the same external_id
. In order to enable this you must set
external.id.is.unique.enabled
to false.
5.1.5. Initial Loads
Loading data for 3.8 and above has been modified, see Load Data.
Initial Load Extract In Background
By default, initial loads for a table are broken into multiple batches, with the size of batches based on the
max_batch_size
of the Channels for the reload channel being used.
Batches are pre-extracted to staging in the background, instead of waiting for a push or pull to extract them.
An estimated count of rows for the table are queried from the database statistics, or it will execute a count(*) query
from the table if statistics are not available.
The extract process creates batches based on the number of rows in the table divided by the max_batch_size
.
If the background job is disabled by setting initial.load.use.extract.job.enabled
to false,
then all data for a given table will be extracted into a single batch during a push or pull, regardless of channel settings.
For large tables, this can result in a batch that can take a long time to extract and load.
Initial Load Parameters
There are several parameters that can be used to modify the behavior of an initial load.
- auto.reload
-
A load is queued up to a node automatically when it registers.
- auto.reload.reverse
-
A reverse initial load is queued up for a node automatically when it registers.
- initial.load.delete.first / initial.load.delete.first.sql
-
By default, an initial load will not delete existing rows from a target table before loading the data. If a delete is desired, the parameter
initial.load.delete.first
can be set to true. If true, the command found ininitial.load.delete.first.sql
will be run on each table prior to loading the data. The default value forinitial.load.delete.first.sql
isdelete from %s
Note that individual reload batches are created that represent the deletes in the reverse order that load batches are created. All delete batches are inserted first. The
initial.load.delete.first.sql
can be overwritten at the TRIGGER_ROUTER level by entering ainitial_load_delete_stmt
. - initial.load.create.first
-
By default, an initial load will not create the table on the target if it doesn’t already exist. If the desired behavior is to create the table on the target if it is not present, set the parameter
intial.load.create.first
to true. SymmetricDS will attempt to create the table and indexes on the target database before doing the initial load. Note that individual create batches are created to represent each of the table creates.Sometimes when creating tables across different database platforms default values do not translate. You can turn off the use of default values during the table create by setting
create.table.without.defaults
.
5.1.6. Send
Events other than data changes can be sent to nodes in the synchronization network. The following can also be sent to nodes:
- SQL Scripts
-
Sql can be sent to be executed on a target node
- BSH Scripts
-
Beanshell scripts can be sent to be executed on a target node
- Table Schema
-
The schema the source node can be replicated to the target node individually
5.2. Jobs
Most work done by SymmetricDS is initiated by jobs. Jobs are tasks that are started and scheduled by a job manager.
Jobs are enabled by the start.<name>.job
parameter.
Most jobs are enabled by default. The frequency at which a job runs is controlled by one of two parameters:
-
job.<name>.period.time.ms
-
job.<name>.cron
If a valid cron property exists in the configuration, then it will be used to schedule the job. Otherwise, the job manager will attempt to use the period.time.ms property.
From the manage jobs screen the frequency that a job will run for the current node in the cluster can be managed. If you want to change the frequency a job runs across a group or for everyone, you modify the parameter in the Parameters screen.
A job can also be stopped and restarted. If a job is scheduled to run infrequently and the job is needed to run immediately you can select job and click Run Now.
SymmetricDS utilizes Spring’s CRON support, which includes seconds as the first parameter. This differs from the typical Unix-based
implementation, where the first parameter is usually minutes. For example,
*/15 * * * * *
means every 15 seconds, not every 15 minutes. See
Spring’s
documentation
for more details.
Some jobs cannot be run in parallel against a single node. These jobs use the LOCK table to get an exclusive semaphore to run the job.
This table is only used if the cluster.lock.enabled
is set to true.
5.2.1. Route Job
The Route Job is responsible for creating outgoing batches of captured data that are targeted at specific nodes.
The job processes Channels, one at a time, reading up to Max Data To Route data rows which have not been routed.
The data is assigned to outgoing batches based on the Batch Algorithm defined for the channel. Note that, for the default and transactional algorithm Max Data To Route rows may be exceeded depending on the transaction boundaries.
An outgoing batch is initially created with a status of "RT". Data is assigned to the batch by inserting into data event. When a batch is complete, the batch is committed and the status is changed to "NE".
The route job will respect the Max Batch Size as configured in Channels. If the max batch size is reached before the end of a captured database transaction and the batch algorithm is set to something other than nontransactional the batch may exceed the specified max size.
The route job delegates to a router to decide which nodes need to receive the data. The correct router is looked up by
referencing the captured trigger_hist_id
in the DATA table and using Table Routing configuration.
After outgoing batches have been created by the Route Job, they need to be transported to the target node.
Data Gaps
The DATA to route is selected based on the values in the DATA_GAP table. For efficiency, DATA_GAP tracks gaps in the data ids in DATA table that have not yet been processed.
A gap while routing in DATA can occur because concurrently running transactions have not yet committed. They can also be caused by rolled back transactions.
Most of gaps are only temporarily and fill in at some point after routing and need to be picked up with the next routing run.
This table completely defines the entire range of data that can be routed at any point in time.
For a brand new instance of SymmetricDS, this table is empty and SymmetricDS creates a gap starting
from data id of zero and ending with a very large number (defined by routing.largest.gap.size
).
At the start of a route job, the list of valid gaps (gaps with status of 'GP') is collected, and each gap is evaluated in turn.
If a gap is sufficiently old (as defined by routing.stale.dataid.gap.time.ms
, SymmetricDS assumes that a transaction has
been rolled back and deletes the gap.
If the gap is not stale, then DATA_EVENT is searched for data ids present in the gap. If one or more data ids is
found in DATA_EVENT, then the current gap is deleted, and new gap(s) are created to represent the data ids still
missing in the gap’s range. This process is done for all gaps. If the very last gap contained data, a new
gap starting from the highest data id and ending at (highest data id + routing.largest.gap.size
) is then created.
This results in an updated gap list that can be used to select DATA for routing.
5.2.2. Push Job
The Push Job is responsible for assigning nodes that need to be pushed to individual threads. See Push Threads for more details.
The job sends Outgoing Batches to the target node using an HTTP PUT. By default an HTTP PUT buffers data at the client.
If large batches are going to be sent using the push job, then consider turning on http.push.stream.output.enabled
.
The push job is considered to be slightly more efficient than the Pull Job because it only needs to make a network connection if there are batches available to send.
In order to be more efficient, the push job sends an HTTP HEAD to request a reservation at the target node. If the target nodes responds and accepts the request, then the job issues the HTTP PUT with the data pay load in Data Format
5.2.3. Pull Job
The Pull Job is responsible for assigning nodes that need to be pulled to individual threads. See Pull Threads for more details.
The job expects to receive Incoming Batches from a source node using an HTTP GET.
5.2.4. Purge Outgoing Job
The Purge Outgoing Job is responsible to purging outgoing data that has successfully been loaded at the target and is older than
purge.retention.minutes
.
This job purges the following tables:
5.2.5. Purge Incoming Job
The Purge Incoming Job is responsible for purging the INCOMING_BATCH table.
5.2.6. Statistics Job
The Statistics Job flushes captured statistics to following tables:
It also purges the same tables based on the purge.stats.retention.minutes
parameter.
5.2.7. Sync Triggers Job
The Sync Triggers Job runs when a node is started and on the prescribed job schedule. The job checks for missing SymmetricDS database triggers and creates them. It also updates the SymmetricDS database triggers that have had a change to its configuration or the database table has had a change to its structure.
5.2.8. Heartbeat Job
The Heartbeat Job updates its own NODE_HOST row with a new heartbeat_time
so that it is synchronized to it’s created_at_node_id
node
to indicate that the node is online and healthy.
5.2.9. Watchdog Job
The Watchdog Job looks for nodes that have been offline for offline.node.detection.period.minutes
and disables them.
5.2.10. Stage Management Job
The Stage Management Job purges the staging area according to the stream.to.file.ttl.ms
parameter.
5.2.11. Refresh Cache Job
The Refresh Cache Job checks the last_update_time
on each cached configuration resource and determines if it needs to refresh the cached items.
This job is mostly relevant when a cluster is deployed.
5.2.12. File Sync Tracker Job
The File System Tracker job is responsible for monitoring and recording the events of files being created, modified, or deleted. It records the current state of files to the FILE_SNAPSHOT table.
See File Synchronization for more details.
5.2.13. File Sync Pull Job
The File Sync Pull Job is responsible for assigning nodes that need to be pulled to individual threads.
See File Synchronization and Pull Threads for more details.
5.2.14. File Sync Push Job
The File Sync Push Job is responsible for assigning nodes that need to be pushed to individual threads.
See File Synchronization and Pull Threads for more details.
5.2.15. Initial Load Extract Job
The Initial Load Extract Job processes EXTRACT_REQUESTs. See Initial Load Extract In Background for more details.
5.3. Installed Triggers
SymmetricDS installs database triggers to capture changes in the DATA table. A record of the triggers that were installed and what columns are being captured is stored in the TRIGGER_HIST table. When data is captured in DATA it references the TRIGGER_HIST record that represented the trigger at the time data was captured.
This is necessary because if a trigger is rebuilt after columns are added or removed and data that was captured by the old trigger has not yet been delivered, we need a record of what columns were in play at the time the data had been captured.
The Installed Triggers Screen is used to view tables that have successfully been installed with triggers.
This screen allows you to Rebuild an individual database trigger or Rebuild All database triggers. It also allows you to Drop triggers. Only reason you might need to drop triggers to alter a table or perform a batch job where you don’t want data to be captured.
The TRIGGER_HIST table records the reason a trigger was rebuilt. The following reasons are possible:
N |
New trigger that has not been created before |
S |
Schema changes in the table were detected |
C |
Configuration changes in Trigger |
T |
Trigger was missing |
A configuration entry in Trigger without any history in Trigger Hist results in a new trigger being created (N). The Trigger Hist stores a
hash of the underlying table, so any alteration to the table causes the trigger to be rebuilt (S). When the last_update_time
is changed
on the Trigger entry, the configuration change causes the trigger to be rebuilt ©. If an entry in Trigger Hist is missing the
corresponding database trigger, the trigger is created (T).
5.4. Outgoing Loads
The Outgoing Loads screen shows the number of loads that have been queued. It also lists loads that have had Outgoing Batches created. The screens shows loads that are sourced from the current node.
You can cancel a load that is in progress by selecting the load and pressing the Cancel button.
5.5. Outgoing Batches
The Outgoing Batches screens allows you to monitor data that has been routed.
Outgoing batches are delivered to the target node when the source node pushes or when the target node pulls.
A single push or pull connection is called a synchronization.
For one synchronization, each enabled channel will be processed. Channels are processed in the order defined by the Processing Order setting on the channel with two exceptions:
-
If there are reload channels available to be sent and the reload channels are not in error, then only reload channels will be sent
-
If a channel is in error it will be moved to the bottom of the list
When outgoing batches are selected for a node and a channel, the maximum number of batches that are extracted per synchronization is controlled by the Max Batch To Send setting on the channel.
There is also a setting that controls the max number of bytes to send in one synchronization. If SymmetricDS has extracted more than
the number of bytes configured by the transport.max.bytes.to.sync
parameter, then it will finish extracting the current batch and then finish
synchronization so the client has a chance to process and acknowledge the "big" batch. This may happen before the configured
Max Batch To Send has been reached.
When extracting a batch, data is first extracted to the Staging Area and then sent across the network from the Staging Area.
The staging area is used to minimize the amount of time a database connection is being used when streaming
over slower networks. The use of the staging area can be turned off by setting the stream.to.file.enabled
parameter.
5.5.1. Extract Frequency By Channel
The pull and push frequency cannot be adjusted by channel. If you want to adjust the frequency that outgoing batches for a specific channel are sent, you have two options:
-
Batches are extracted by channel at an interval controlled by the
extract_period_millis
in the Channels settings. Thelast_extract_time
is always recorded, by channel, on the NODE_CHANNEL_CTL table for the host node’s id. When the Pull and Push Job run, if the extract period has not passed according to the last extract time, then the channel will be skipped for this run. If theextract_period_millis
is set to zero, data extraction will happen every time the jobs run. -
SymmetricDS provides the ability to configure windows of time when synchronization is allowed. This is done using the NODE_GROUP_CHANNEL_WND table. A list of allowed time windows can be specified for a node group and a channel. If one or more windows exist, then data will only be extracted and transported if the time of day falls within the window of time specified. The configured times are always for the target node’s local time. If the
start_time
is greater than theend_time
, then the window crosses over to the next day.
5.5.2. Outgoing Sync Status
The status of outgoing synchronization can be queried at the source database.
The following query will show outgoing synchronization failures by node:
select count(*), node_id from sym_outgoing_batch
where error_flag=1 group by node_id;
The following query will show the number of data rows that have not been delivered to target nodes:
select sum(data_event_count), node_id from sym_outgoing_batch
where status != 'OK' group by node_id;
The following queries summed together give an approximation of the number of rows that have not been routed:
select sum(end_id-start_id) from sym_data_gap
where start_id < (select max(start_id) from sym_data_gap);
select count(*) from sym_data
where data_id >= (select max(start_id) from sym_data_gap);
5.5.3. Outgoing Batch Errors
By design, whenever SymmetricDS encounters an issue with synchronization, the batch containing the error is marked as being in an error state, and all subsequent batches on the same channel to the same node are not synchronized until the batch error is resolved.
SymmetricDS will retry the batch in error until the situation creating the error is resolved (or the data for the batch itself is changed). If the error is caused by network or database failures, then the error might eventually resolve itself when the network or database failures are resolved.
Analyzing and resolving issues can take place on the outgoing or incoming side. The techniques for analysis are slightly different in the two cases, however, due to the fact that the node with outgoing batch data also has the data and data events associated with the batch in the database. On the incoming node, however, all that is available is the incoming batch header and data present in an incoming error table.
Analyzing the Issue
The first step in analyzing the cause of a failed batch is to locate information about the data in the batch.
To show only batches in error, select the status of Error:
In order to view the error message, click the magnifying glass link in the details column of the outgoing batch row of interest.
In order to view the data row in error, click the Sent Data tab on the captured batch data screen. There is a button you can click to Scroll to error. The row that is in error will be italicized. You can view the data that changed at the bottom of the dialog.
The error message and the data should give the user clues as to why the batch failed.
Common reasons a batch might fail include:
-
The schema at the destination has a column that is not nullable yet the source has the column defined as nullable and a data change was sent with the column as null.
-
A foreign key constraint at the destination is preventing an insertion or update, which could be caused from data being deleted at the destination or the foreign key constraint is not in place at the source.
-
The data size of a column on the destination is smaller than the data size in the source, and data that is too large for the destination has been synced.
Resolving the Issue
Once you have decided upon the cause of the issue, you’ll have to decide the best course of action to fix the issue. If, for example, the problem is due to a database schema mismatch, one possible solution would be to alter the destination database in such a way that the SQL error no longer occurs. Whatever approach you take to remedy the issue, once you have made the change, on the next push or pull SymmetricDS will retry the batch and the channel’s data will start flowing again.
If you have instead decided that the batch itself is wrong, or does not need synchronized, or you wish to remove a particular data change from a batch, you do have the option of changing the data associated with the batch directly.
Be cautious when using the following two approaches to resolve synchronization issues. By far, the best approach to solving a synchronization error is to resolve what is truly causing the error at the destination database. Skipping a batch or removing a data id as discussed below should be your solution of last resort, since doing so results in differences between the source and destination databases. |
Now that you’ve read the warning, if you still want to change the batch data itself, you do have several options, including:
-
Causing SymmetricDS to skip the batch completely can be accomplished from the user interface. Select the batch that should be ignored. Click Change and select Ignore Batch.
-
Removing the failing data id from the batch by deleting the corresponding row in DATA_EVENT. Eliminating the data id from the list of data ids in the batch will cause future synchronization attempts of the batch to no longer include that particular data change as part of the batch. For example:
delete from sym_data_event where batch_id='XXXXXX' and data_id='YYYYYY' where XXXXXX is the failing batch and YYYYYY is the data id to longer be included in the batch.
After modifying the batch you will have to clear the Staging Area manually or wait for the staged version of the batch to timeout and clear itself.
5.6. Incoming Batches
The Incoming Batches screens allows you to monitor batches that have been delivered to the target node.
Incoming batches are delivered to the target node when the source node pushes or when the target node pulls.
Incoming batches are written to the Staging Area first and then loaded. The use of the staging area can be turned off by setting the stream.to.file.enabled
parameter.
5.6.1. Incoming Sync Status
The status of incoming synchronization can be queried at the target database.
The following query will show incoming synchronization failures by node:
select count(*), node_id from sym_incoming_batch
where error_flag=1 group by node_id;
Client nodes update their heartbeat_time
in the NODE_HOST table. If a client node is online and actively syncing you can
monitor the NODE_HOST table at the server to find client nodes that are offline. Note that at times there could be more
than one NODE_HOST row per node_id
. This could be the case if the nodes are clustered or the host_name
changes.
The following query will give you nodes that have not synchronized in the last 24 hours. Note that the SQL might vary slightly for
some databases as some of the supported databases do not support current_timestamp
.
select node_id, host_name from sym_node_host
where heartbeat_time < current_timestamp-1;
5.6.2. Incoming Batch Errors
When a batch fails to load it is marked with an Error status.
Analyzing the Issue
Analysis using an incoming batch is different than that of outgoing batches.
Batches in Error can be viewed when the Status is set to <Not Ok> or Error.
The error message can be viewed by clicking the Magnifying Glass link in the details column.
Resolving the Issue
For batches in error, from the incoming side you’ll also have to decide the best course of action to fix the issue.
Incoming batch errors that are in conflict can by fixed by taking advantage of two columns in INCOMING_ERROR which are examined each time
batches are processed. The first column, resolve_data
if filled in will be used in place of row_data
.
The second column, resolve_ignore
if set will cause this particular data item to be ignored and batch processing to continue. This is the same
two columns used when a manual conflict resolution strategy is chosen, as discussed in Conflicts.
5.7. Staging Area
SymmetricDS creates temporary extraction and data load files with the CSV payload of a synchronization when
the value of the stream.to.file.threshold.bytes
SymmetricDS property has been reached. Before reaching the threshold, files
are streamed to/from memory. The default threshold value is 0 bytes. This feature may be turned off by setting the stream.to.file.enabled
property to false.
SymmetricDS creates these temporary files in the directory specified by the java.io.tmpdir
Java System property.
The location of the temporary directory may be changed by setting the Java System property passed into the Java program at startup. For example,
-Djava.io.tmpdir=/home/.symmetricds/tmp
The Staging Area screen shows files that are currently in the staging area. Staging area can be cleared at any time by clicking the Clear Staging button.
Clear Staging Performance Impacts
The staging area is designed to hold extracted data while it is waiting to be processed through a push or pull request. This will contain a mix of staged batch files that have been completed, files that are in process, and files that are waiting to be processed. So clearing this will remove all types of files both for both incoming and outgoing batches. If a file is not found in staging as a result of clearing it, the batch will need to be re-extracted. If an incoming batch is not found when its ready to be loaded a resent request will be made to the source node that it can be sent across the network again. So use caution when clearing staging if there are a lot of files present otherwise there could be an impact on performance while these batches are re-extracted or resent. |
5.8. Processes
The Processes screen shows what is actively going on in SymmetricDS for the current node.
5.9. Pull Threads
Both the Pull Job and the File Sync Pull Job can be configured to pull multiple nodes in parallel. In order to take advantage of this the
pull.thread.per.server.count
or file.pull.thread.per.server.count
should be adjusted (from the default value of 1) to the number to the
number of concurrent pulls you want to occur per period on each SymmetricDS instance.
This screen shows pull activity for both table and file synchronization.
Pull activity is recorded in the NODE_COMMUNICATION table. This table is also used as a semaphore to lock pull activity across multiple servers in a cluster.
5.10. Push Threads
Both the Push Job and the File Sync Push Job can be configured to push multiple nodes in parallel. In order to take advantage of this the
push.thread.per.server.count
or file.push.thread.per.server.count
should be adjusted (from the default value of 1) to the number to the
number of concurrent pushes you want to occur per period on each SymmetricDS instance.
This screen shows pull activity for both table and file synchronization.
Push activity is recorded in the NODE_COMMUNICATION table. This table is also used as a semaphore to lock push activity across multiple servers in a cluster.
5.11. JVM Properties
The JVM Properties screen is a convenience screen that shows JVM System Properties.
5.12. JVM Threads
The JVM Threads Screen shows active threads in the JVM.
5.13. Monitors
The Monitors screen allows you to view events of system problems recorded by both local and remote nodes.
The list of events can be filtered to limit the number of events displayed, event type, severity level, and node ID.
Filtering by severity level will match the level you choose and any level above it.
Events are listed in descending order by event time, but the order can be changed by clicking column headings.
The remove button will clear the event from the table on the current node. Events are purged automatically each night
using the purge.retention.minutes
parameter to remove by event time.
When a Monitor is configured, it is run periodically to check the current value of a system metric and compare it to a threshold value.
Different monitor types can check the CPU usage, disk usage, memory usage, batch errors, outstanding batches, unrouted data, and number
of data gaps.
Custom monitor types can be created using Extensions that use the IMonitorType interface.
When the value returned from the check meets or exceeds the threshold value, a MONITOR_EVENT is recorded.
The MONITOR_EVENT table is synchronized on the "monitor" channel, which allows a central server to see events from remote nodes,
but this behavior can be disabled by setting the monitor.events.capture.enabled
parameter to false.
To be immediately notified of a monitor event, use Notifications to match on the severity level. Different notification type can send a message by writing to the log or sending an email. Custom notification types can be created using Extensions that use the INotificationType interface. In order to send email, the Mail Server should be configured.
5.14. Security
The Security panel manages the SSL/TLS certificate for encrypting the HTTPS transport of data.
- Import certificate from file
-
Upload a file containing the certificate, which can then be imported. If the file is a keystore with multiple entries, the user is prompted to select one from the list. If the file is a protected keystore, the user is prompted for the password. File types supported include PEM and PKCS12 (P12, PFX).
- Export certificate to file
-
Export the current certificate and private key to a PEM-encoded text file.
- Generate self-signed certificate
-
Generate a new key pair and self-signed certificate, which can then be be imported. The signature cannot be verified by clients using a third-party Certifying Authority, but data will be encrypted.
5.15. Logging
The standalone SymmetricDS installation uses Log4J for logging. The configuration file is conf/log4j.xml
.
The log4j.xml
file has hints as to what logging can be enabled for useful, finer-grained logging.
There is a command line option to turn on preconfigured debugging levels. When the --debug
option is used the conf/debug-log4j.xml
is used instead of log4j.xml.
SymmetricDS proxies all of its logging through SLF4J. When deploying to an application server or if Log4J is not being leveraged, then the general rules for for SLF4J logging apply.
You can use the logging screen to dynamically adjust the log level in order to help triage issues. When developing transforms it is useful to turn on Log Sync Details.
6. Advanced Topics
This chapter focuses on a variety of topics, including deployment options, jobs, clustering, encryptions, synchronization control, and configuration of SymmetricDS.
6.1. Advanced Synchronization
6.1.1. Disabling Synchronization
All data loading may be disabled by setting the dataloader.enable
property to false. This has the effect of not allowing incoming
synchronizations, while allowing outgoing synchronizations. All data extractions may be disabled by setting the dataextractor.enable
property to false. These properties can be controlled by inserting into the master node’s PARAMETER
table. These properties affect every channel with the exception of the
'config' channel.
6.1.2. Bi-Directional Synchronization
SymmetricDS allows tables to be synchronized bi-directionally. Note that an outgoing
synchronization does not process changes during an incoming synchronization on the same node unless the trigger
was created with the sync_on_incoming_batch
flag set. If the sync_on_incoming_batch
flag
is set, then update loops are prevented by a feature that is available in most database dialects.
More specifically, during an incoming synchronization the source node_id
is put into a database session variable that is
available to the database trigger. Data events are not generated if the target node_id
on an outgoing synchronization is equal to the source node_id
.
By default, only the columns that changed will be updated in the target system.
Conflict resolution strategies can be configured for specific links and/or sets of tables.
6.1.3. Multi-Tiered Synchronization
There may be scenarios where data needs to flow through multiple tiers of nodes that are organized in a tree-like network with each tier requiring a different subset of data. For example, you may have a system where the lowest tier may be a computer or device located in a store. Those devices may connect to a server located physically at that store. Then the store server may communicate with a corporate server for example. In this case, the three tiers would be device, store, and corporate. Each tier is typically represented by a node group. Each node in the tier would belong to the node group representing that tier.
A node can only pull and push data to other nodes that are represented in the node’s NODE
table and in cases where that node’s sync_enabled
column is set to 1.
Because of this, a tree-like
hierarchy of nodes can be created by having only a subset of nodes belonging to the same node group represented at the different branches of the tree.
If auto registration is turned off, then this setup must occur manually by opening registration
for the desired nodes at the desired parent node and by configuring each node’s registration.url
to be the parent node’s URL.
The parent node is always tracked by the setting of the parent’s node_id
in the created_at_node_id
column of the new node.
When a node registers and downloads its configuration it is always provided the configuration for nodes
that might register with the node itself based on the Node Group Links defined in the parent node.
Registration Redirect
When deploying a multi-tiered system it may be advantageous to have only one registration server, even though the parent node of a registering node
could be any of a number of nodes in the system. In SymmetricDS the parent node is always the node that a child registers with. The
REGISTRATION_REDIRECT table allows a single node, usually the root server in the network, to
redirect registering nodes to their true parents. It does so based on a mapping found in the table of the external id (registrant_external_id
) to the parent’s node
id (registration_node_id
).
For example, if it is desired to have a series of regional servers that workstations at retail stores get assigned to based on their external_id
, the store number, then
you might insert into REGISTRATION_REDIRECT the store number as the registrant_external_id
and the node_id
of
the assigned region as the registration_node_id
. When a workstation at the store registers, the root server sends an HTTP redirect to the sync_url
of the node
that matches the registration_node_id
.
Please see Initial Loads for important details around initial loads and registration when using registration redirect. |
6.2. Offline Synchronization
6.2.1. Setup an Offline Node
Configuring a node as offline will still allow changes to be captured and batched for replication. However the push and/or pull jobs that are used to interact with this node will not use the standard http or https protocols to communicate with other nodes for changes. Instead the local file system will be used for replication. It is up to the user transport batch (*.csv) files to and from the node based on incoming or outgoing changes.
-
Turn on the offline push and pull jobs.
-
Turn on the offline.node parameter for the node that should be offline.
-
Setting these parameters immediately affects the behavior of the push and pull jobs, so outgoing batches intended for the offline node are now written as files. Other nodes are unaffected and will continue to synchronize normally. All outstanding batches for this node are immediately written to files. As new changes occur going forward, any batches for this will also be written as files. In this example, two batches of data were waiting to sync, so they are written to files.
-
At the offline store node, the parameter immediately affects the behavior of the push and pull jobs, so outgoing batches intended for CORP are now written as files. Other nodes are unaffected. All outstanding batches for CORP are immediately written to files. As new changes occur going forward, any batches for CORP will also be written as files. In this example, two batches of data are written.
-
Finally, move the batch files to their respective incoming folder. After moving the files, the folders will contain the files depicted below.
6.2.2. Turn offline node online again
To configure the node online again simply remove the parameter entries from step 2 above. As an additional step to save resources the offline jobs can be stopped as well from step 1 above if there are not any nodes operating in an offline mode.
6.3. Encrypted Passwords
The db.user
and db.password
properties will accept encrypted text, which protects
against casual observation. This encryption can be done two different ways
using the command: encrypt-text
The first option is to pass the text as an argument:
symadmin -e {engine name} encrypt-text 'text-to-encrypt'
symadmin -p {properties file} encrypt-text 'text-to-encrypt'
The text-to-encrypt should be surrounded with ' ' as shown above in order to avoid erroneous encryption due to special characters. |
The second option is without an argument. In this case, it will prompt you to enter text:
symadmin -e {engine name} encrypt-text
Enter Text:
symadmin -p {properties file} encrypt-text
Enter Text:
The text is encrypted using a secret key named "sym.secret" that is retrieved from a keystore file.
By default, the keystore is located in security/keystore
.
The location and filename of the keystore can be overridden by setting the "sym.keystore.file" system property.
If the secret key is not found, the system will generate and install a secret key for use with Triple DES cipher.
Generate a new secret key for encryption using the keytool
command that comes with the JRE. If there is an existing key in the keystore, first remove it:
keytool -keystore keystore -storepass changeit -storetype jceks \
-alias sym.secret -delete
Then generate a secret key, specifying a cipher algorithm and key size. Commonly used algorithms that are supported include aes, blowfish, desede, and rc4.
keytool -keystore keystore -storepass changeit -storetype jceks \
-alias sym.secret -genseckey -keyalg aes -keysize 128
If using an alternative provider, place the provider JAR file in the SymmetricDS lib
folder.
The provider class name should be installed in the JRE security properties or specified on the command line.
To install in the JRE, edit the JRE lib/security/java.security
file
and set a security.provider.i
property for the provider class name.
Or, the provider can be specified on the command line instead.
Both keytool
and sym
accept command line arguments for the provider class name.
For example, using the Bouncy Castle provider, the command line options would look like:
keytool -keystore keystore -storepass changeit -storetype jceks \
-alias sym.secret -genseckey -keyalg idea -keysize 56 \
-providerClass org.bouncycastle.jce.provider.BouncyCastleProvider \
-providerPath ..\lib\bcprov-ext.jar
symadmin -providerClass org.bouncycastle.jce.provider.BouncyCastleProvider -e secret
To customize the encryption, write a Java class that implements the ISecurityService or extends the default SecurityService, and place
the class on the classpath in either lib
or
web/WEB-INF/lib
folders.
Then, in the symmetric.properties
specify your class name for the security service.
security.service.class.name=org.jumpmind.security.SecurityService
Remember to specify your properties file when encrypting passwords, so it will use your custom ISecurityService.
symadmin -p symmetric.properties -e secret
6.4. Secure Transport
By specifying the "https" protocol for a URL, SymmetricDS will communicate over Secure Sockets Layer (SSL) for an encrypted transport. The following properties need to be set with "https" in the URL:
- sync.url
-
This is the URL of the current node, so if you want to force other nodes to communicate over SSL with this node, you specify "https" in the URL.
- registration.url
-
This is the URL where the node will connect for registration when it first starts up. To protect the registration with SSL, you specify "https" in the URL.
For incoming HTTPS connections, SymmetricDS depends on the webserver where it is deployed, so the webserver must be configured for HTTPS. As a standalone deployment, the "sym" launcher command provides options for enabling HTTPS support.
6.4.1. Sym Launcher
The "sym" launch command uses Jetty as an embedded web server. Using command line options, the web server can be told to listen for HTTP, HTTPS, or both.
sym --port 8080 --server
sym --secure-port 8443 --secure-server
sym --port 8080 --secure-port 8443 --mixed-server
6.4.2. Tomcat
If you deploy SymmetricDS to Apache Tomcat, it can be secured by editing the
TOMCAT_HOME/conf/server.xml
configuration file. There is already a line that can be uncommented
and changed to the following:
<Connector port="8443" protocol="HTTP/1.1" SSLEnabled="true"
maxThreads="150" scheme="https" secure="true"
clientAuth="false" sslProtocol="TLS"
keystoreFile="/symmetric-ds-1.x.x/security/keystore" />
6.4.3. Keystores
When SymmetricDS connects to a URL with HTTPS, Java checks the validity of the
certificate using the built-in trusted keystore located at
JRE_HOME/lib/security/cacerts
.
The "sym" launcher command overrides the trusted keystore to use its own
trusted keystore instead, which is located at
security/cacerts
.
This keystore contains the certificate aliased as "sym" for use in testing
and easing deployments.
The trusted keystore can be overridden
by specifying the javax.net.ssl.trustStore
system property.
When SymmetricDS is run as a secure server with the "sym" launcher,
it accepts incoming requests using the key installed in the keystore
located at
security/keystore
.
The default key is provided for convenience of testing, but should be
re-generated for security.
6.4.4. Generating Keys
To generate new keys and install a server certificate, use the following steps:
-
Open a command prompt and navigate to the
security
subdirectory of your SymmetricDS installation on the server to which communication will be secured (typically the "root" or "central office" server). -
Delete the old key pair and certificate.
keytool -keystore keystore -delete -alias sym
If you receive a message like "keytool error: java.io.IOException: Invalid keystore format," try adding a parameter of "-storetype jceks". Or, if you receive a message like, "keytool error: java.lang.Exception: Alias <sym> does not exist" - then the alias does not exist and you can skip this step. |
keytool -keystore cacerts -delete -alias sym
See above for possible errors from this command. |
Enter keystore password: changeit
-
Generate a new key pair. Note that the first name/last name (the "CN") must match the fully qualified hostname the client will be using to communcate to the server.
keytool -keystore keystore -alias sym -genkey -keyalg RSA -validity 10950
Enter keystore password: changeit
What is your first and last name?
[Unknown]: localhost
What is the name of your organizational unit?
[Unknown]: SymmetricDS
What is the name of your organization?
[Unknown]: JumpMind
What is the name of your City or Locality?
[Unknown]:
What is the name of your State or Province?
[Unknown]:
What is the two-letter country code for this unit?
[Unknown]:
Is CN=localhost, OU=SymmetricDS, O=JumpMind, L=Unknown, ST=Unknown, C=Unknown
correct?
[no]: yes
Enter key password for <sym>
(RETURN if same as keystore password):
-
Export the certificate from the private keystore.
keytool -keystore keystore -export -alias sym -rfc -file sym.cer
-
Install the certificate in the trusted keystore.
keytool -keystore cacerts -import -alias sym -file sym.cer
-
Copy the cacerts file that is generated by this process to the
security
directory of each client’s SymmetricDS installation.
6.4.5. Importing Signed Certificates from PKCS 12 files
You would use the following command to import a p12 certificate into the SymmetricDS keystore:
keytool -delete -alias sym -noprompt -keystore keystore -storetype jceks -storepass changeit
keytool -importkeystore -deststorepass changeit -destkeypass changeit -destkeystore keystore -storetype jceks -srckeystore {yourcert.p12} -srcstoretype PKCS12 -srcstorepass {pkcs12 password} -srcalias {pkcs12 alias} -destalias sym
6.4.6. Changing Keystore Password
The keystore and each key entry is protected with a password that defaults to "changeit". To change the password, use the following steps:
-
Open a command prompt and navigate to the
security
subdirectory of your SymmetricDS installation. -
Use the keytool command to enter the old and new password for the keystore and each key entry.
keytool -keystore keystore -storetype jceks -storepasswd
keytool -keystore keystore -storetype jceks -alias sym -keypasswd
keytool -keystore keystore -storetype jceks -alias sym.secret -keypasswd
-
(Optional) Obfuscate the password to prevent casual observation from the configuration files. An obfuscated password starts with "obf:" while a cleartext password does not.
syadmin obfuscate-text changeit
-
Edit
bin/setenv
(orbin\setenv.bat
on Windows) andconf/sym_service.conf
files to find a similar line as below to change the password.
-Djavax.net.ssl.keyStorePassword=changeit
6.5. Java Management Extensions
Monitoring and administrative operations can be performed using Java Management Extensions (JMX). SymmetricDS uses MX4J to expose JMX attributes and operations that can be accessed from the built-in web console, Java’s jconsole, or an application server. By default, the web management console can be opened from the following address:
http://localhost:31416/
In order to use jconsole, you must enable JMX remote management in the JVM. You can edit the startup scripts to set the following system parameters.
-Dcom.sun.management.jmxremote.port=31417
-Dcom.sun.management.jmxremote.authenticate=false
-Dcom.sun.management.jmxremote.ssl=false
More details about enabling JMX for JConsole can be found here.
Using the Java jconsole command, SymmetricDS is listed as a local process named SymmetricLauncher.
In jconsole, SymmetricDS appears under the MBeans tab under the name defined by the engine.name
property. The default value is SymmetricDS.
The management interfaces under SymmetricDS are organized as follows:
Node |
administrative operations |
Parameters |
access to properties set through the parameter service |
6.6. JMS Publishing
With the proper configuration SymmetricDS can publish XML messages of captured data changes to JMS during routing or transactionally while data loading synchronized data into a target database. The following explains how to publish to JMS during synchronization to the target database.
The XmlPublisherDatabaseWriterFilter is a IDatabaseWriterFilter that may be configured to publish specific tables as an XML message to a JMS provider. See Extensions for information on how to configure an extension point. If the publish to JMS fails, the batch will be marked in error, the loaded data for the batch will be rolled back and the batch will be retried during the next synchronization run.
The following is an example extension point configuration that will publish four tables in XML with a root tag of 'sale'. Each XML message will be grouped by the batch and the column names identified by the groupByColumnNames property which have the same values.
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd">
<bean id="configuration-publishingFilter"
class="org.jumpmind.symmetric.integrate.XmlPublisherDatabaseWriterFilter">
<property name="xmlTagNameToUseForGroup" value="sale"/>
<property name="tableNamesToPublishAsGroup">
<list>
<value>SALE_TX</value>
<value>SALE_LINE_ITEM</value>
<value>SALE_TAX</value>
<value>SALE_TOTAL</value>
</list>
</property>
<property name="groupByColumnNames">
<list>
<value>STORE_ID</value>
<value>BUSINESS_DAY</value>
<value>WORKSTATION_ID</value>
<value>TRANSACTION_ID</value>
</list>
</property>
<property name="publisher">
<bean class="org.jumpmind.symmetric.integrate.SimpleJmsPublisher">
<property name="jmsTemplate" ref="definedSpringJmsTemplate"/>
</bean>
</property>
</bean>
</beans>
The publisher property on the XmlPublisherDatabaseWriterFilter takes an interface of type IPublisher. The implementation demonstrated here is an implementation that publishes to JMS using Spring’s JMS template. Other implementations of IPublisher could easily publish the XML to other targets like an HTTP server, the file system or secure copy it to another server.
The above configuration will publish XML similar to the following:
<?xml version="1.0" encoding="UTF-8"?>
<sale xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
id="0012010-01-220031234" nodeid="00001" time="1264187704155">
<row entity="SALE_TX" dml="I">
<data key="STORE_ID">001</data>
<data key="BUSINESS_DAY">2010-01-22</data>
<data key="WORKSTATION_ID">003</data>
<data key="TRANSACTION_ID">1234</data>
<data key="CASHIER_ID">010110</data>
</row>
<row entity="SALE_LINE_ITEM" dml="I">
<data key="STORE_ID">001</data>
<data key="BUSINESS_DAY">2010-01-22</data>
<data key="WORKSTATION_ID">003</data>
<data key="TRANSACTION_ID">1234</data>
<data key="SKU">9999999</data>
<data key="PRICE">10.00</data>
<data key="DESC" xsi:nil="true"/>
</row>
<row entity="SALE_LINE_ITEM" dml="I">
<data key="STORE_ID">001</data>
<data key="BUSINESS_DAY">2010-01-22</data>
<data key="WORKSTATION_ID">003</data>
<data key="TRANSACTION_ID">1234</data>
<data key="SKU">9999999</data>
<data key="PRICE">10.00</data>
<data key="DESC" xsi:nil="true"/>
</row>
<row entity="SALE_TAX" dml="I">
<data key="STORE_ID">001</data>
<data key="BUSINESS_DAY">2010-01-22</data>
<data key="WORKSTATION_ID">003</data>
<data key="TRANSACTION_ID">1234</data>
<data key="AMOUNT">1.33</data>
</row>
<row entity="SALE_TOTAL" dml="I">
<data key="STORE_ID">001</data>
<data key="BUSINESS_DAY">2010-01-22</data>
<data key="WORKSTATION_ID">003</data>
<data key="TRANSACTION_ID">1234</data>
<data key="AMOUNT">21.33</data>
</row>
</sale>
To publish JMS messages during routing
the same pattern is valid, with the exception that the extension point would be the XmlPublisherDataRouter and the router
would be configured by setting the router_type
of a ROUTER to the Spring bean
name of the registered extension point. Of course, the router would need to be linked through TRIGGER_ROUTERs
to each TRIGGER table that needs published.
6.7. File Synchronization
SymmetricDS not only supports the synchronization of database tables, but it also supports the synchronization of files and folders from one node to another.
6.7.1. File Synchronization Overview
-
Monitoring one or more file system directory locations for file and folder changes
-
Support synchronizing a different target directory than the source directory
-
Use of wild card expressions to “include” or “exclude” files
-
Choice of whether to recurse into subfolders of monitored directories
-
Use of existing SymmetricDS routers to subset target nodes based on file and directory metadata
-
Ability to specify if files will be synchronized on creation, or deletion, and/or modification
-
Ability to specify the frequency with which file systems are monitored for changes
-
Ability to extend file synchronization through scripts that run before or after a file is copied to its source location
-
Support for bidirectional file synchronization
-
Like database synchronization, file synchronization is configured in a series of database tables. The configuration was designed to be similar to database synchronization in order to maintain consistency and to give database synchronization users a sense of familiarity.
For database synchronization, SymmetricDS uses Table Triggers to configure which tables will capture data for synchronization and Routers to designate which nodes will be the source of data changes and which nodes will receive the data changes. Table Routing links triggers to routers.
Likewise, for file synchronization, SymmetricDS uses File Triggers to designate which base directories will be monitored. Each entry in File Triggers designates one base directory to monitor for changes on the source system. The columns on File Triggers provide additional settings for choosing specific files in the base directory that will be monitored, and whether to recurse into subdirectories, etc. File triggers are linked to routers using File Routing. The file trigger router not only links the source and the target node groups, but it also optionally provides the ability to override the base directory name at the target. File Routing also provides a flag that indicates if the target node should be seeded with the files from the source node during SymmetricDS’s initial load process.
File synchronization does require a database for runtime information about the synchronization scenario. File Triggers will also need to be linked to an appropriate router like table triggers in order to complete the setup. |
H2 database works great as a small lightweight database to support file synchronization runtime information if you do not have a relational database readily available to support file sync. |
6.7.2. How File Synchronization Works
Not only is file synchronization configured similar to database synchronization, but it also operates in a very similar way. The file system is monitored for changes via a background job that tracks the file system changes (this parallels the use of triggers to monitor for changes when synchronizing database changes). When a change is detected it is written to the FILE_SNAPSHOT table. The file snapshot table represents the most recent known state of the monitored files. The file snapshot table has a SymmetricDS database trigger automatically installed on it so that when it is updated the changes are captured by SymmetricDS on an internal channel named filesync.
The changes to FILE_SNAPSHOT are then routed and batched by a file-synchronization-specific router that delegates to the configured router based on the File Routing configuration. The file sync router can make routing decisions based on the column data of the snapshot table, columns which contain attributes of the file like the name, path, size, and last modified time. Both old and new file snapshot data are also available. The router can, for example, parse the path or name of the file and use it as the node id to route to.
Batches of file snapshot changes are stored on the filesync channel in OUTGOING_BATCH. The existing SymmetricDS pull and push jobs ignore the filesync channel. Instead, they are processed by file-synchronization-specific push and pull jobs. These jobs, file sync tracker, file sync pull, and file sync push are turned off by default. They need to be started before any changes are processed.
When transferring data, the file sync push and pull jobs build a zip file dynamically based on the batched snapshot data. The zip file contains a directory per batch. The directory name is the batch_id. A sync.bsh Bean Shell script is generated and placed in the root of each batch directory. The Bean Shell script contains the commands to copy or delete files at their file destination from an extracted zip in the staging directory on the target node. The zip file is downloaded in the case of a pull, or, in the case of a push, is uploaded as an HTTP multi-part attachment. Outgoing zip files are written and transferred from the outgoing staging directory. Incoming zip files are staged in the filesync_incoming staging directory by source node id. The filesync_incoming/{node_id} staging directory is cleared out before each subsequent delivery of files.
The acknowledgement of a batch happens the same way it is acknowledged in database synchronization. The client responds with an acknowledgement as part of the response during a file push or pull.
6.8. Variables
Variables can be used throughout configuration with the $(variableName)
syntax. Check the documentation for each configuration
item to see which variables it supports. A substring of the variable value can be specified with a starting index and an optional
ending index. The first character is at index 0, and the end index is not included in the substring.
Therefore, the length of the substring will be end index minus start index.
$(variableName:start)
$(variableName:start:end)
Examples when $(externalId)
is set to 00001-002
:
$(externalId:0:5) - returns 00001
$(externalId:6) - returns 002
The variable value can be formatted using a format string
supported by java.lang.String.format()
.
$(variableName|format_string)
Examples when $(externalId)
is set to 1
:
$(variableName|%05d) - returns 00001
7. Developer
This chapter focuses on a variety of ways for developers to build upon and extend some of the existing features found within SymmetricDS.
7.1. Extension Points
SymmetricDS has a pluggable architecture that can be extended. A Java class that implements the appropriate extension point interface, can implement custom logic and change the behavior of SymmetricDS to suit special needs. All supported extension points extend the IExtensionPoint interface. The available extension points are documented in the following sections.
When SymmetricDS starts up, the ExtensionPointManager searches a Spring Framework context for classes that implement the IExtensionPoint interface, then creates and registers the class with the appropriate SymmetricDS component.
Extensions should be configured in the conf/symmetric-extensions.xml file as Spring beans. The jar file that contains the extension should be placed in the web/WEB-INF/lib directory.
If an extension point needs access to SymmetricDS services or needs to connect to the database it may implement the ISymmetricEngineAware interface in order to get a handle to the ISymmetricEngine.
The INodeGroupExtensionPoint interface may be optionally implemented to indicate that a registered extension point should only be registered with specific node groups.
/**
* Only apply this extension point to the 'root' node group.
*/
public String[] getNodeGroupIdsToApplyTo() {
return new String[] { "root" };
}
IParameterFilter
Parameter values can be specified in code using a parameter filter. Note that there can be only one parameter filter per engine instance. The IParameterFilter replaces the deprecated IRuntimeConfig from prior releases.
public class MyParameterFilter
implements IParameterFilter, INodeGroupExtensionPoint {
/**
* Only apply this filter to stores
*/
public String[] getNodeGroupIdsToApplyTo() {
return new String[] { "store" };
}
public String filterParameter(String key, String value) {
// look up a store number from an already existing properties file.
if (key.equals(ParameterConstants.EXTERNAL_ID)) {
return StoreProperties.getStoreProperties().
getProperty(StoreProperties.STORE_NUMBER);
}
return value;
}
public boolean isAutoRegister() {
return true;
}
}
IDatabaseWriterFilter
Data can be filtered or manipulated before it is loaded into the target database. A filter can change the data in a column, save it somewhere else or do something else with the data entirely. It can also specify by the return value of the function call that the data loader should continue on and load the data (by returning true) or ignore it (by returning false). One possible use of the filter, for example, might be to route credit card data to a secure database and blank it out as it loads into a less-restricted reporting database.
A DataContext is passed to each of the callback methods. A new context is created for each synchronization. The context provides a mechanism to share data during the load of a batch between different rows of data that are committed in a single database transaction.
The filter also provides callback methods for the batch lifecycle. The DatabaseWriterFilterAdapter may be used if not all methods are required.
A class implementing the IDatabaseWriterFilter interface is injected onto the DataLoaderService in order to receive callbacks when data is inserted, updated, or deleted.
public class MyFilter extends DatabaseWriterFilterAdapter {
@Override
public boolean beforeWrite(DataContext context, Table table, CsvData data) {
if (table.getName().equalsIgnoreCase("CREDIT_CARD_TENDER")
&& data.getDataEventType().equals(DataEventType.INSERT)) {
String[] parsedData = data.getParsedData(CsvData.ROW_DATA);
// blank out credit card number
parsedData[table.getColumnIndex("CREDIT_CARD_NUMBER")] = null;
}
return true;
}
}
The filter class should be specified in conf/symmetric-extensions.xml as follows.
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd">
<bean id="myFilter" class="com.mydomain.MyFilter"/>
</beans>
IDatabaseWriterErrorHandler
Implement this extension point to override how errors are handled. You can use this extension point to ignore rows that produce foreign key errors.
IDataLoaderFactory
Implement this extension point to provide a different implementation of the org.jumpmind.symmetric.io.data.IDataWriter that is used by the SymmetricDS data loader. Data loaders are configured for a channel. After this extension point is registered it can be activated for a CHANNEL by indicating the data loader name in the data_loader_type column.
SymmetricDS has two out of the box extensions of IDataLoaderFactory already implemented in its PostgresBulkDataLoaderFactory and OracleBulkDataLoaderFactory classes. These extension points implement bulk data loading capabilities for Oracle, Postgres and Greenplum dialects. See Appendix C. Database Notes for details.
Another possible use of this extension point is to route data to a NOSQL data sink.
IAcknowledgeEventListener
Implement this extension point to receive callback events when a batch is acknowledged. The callback for this listener happens at the point of extraction.
IReloadListener
Implement this extension point to listen in and take action before or after a reload is requested for a Node. The callback for this listener happens at the point of extraction.
IReloadVariableFilter
Implement this extension point to filter the SQL used by the initial load to query source tables and purge target tables. The extension receives the SQL and can replace variable names with values, which allows for adding new variables. The org.jumpmind.util.FormatUtils.replace() method can be used to find and replace variables.
ISyncUrlExtension
This extension point is used to select an appropriate URL based on the URI provided in the sync_url column of sym_node.
To use this extension point configure the sync_url for a node with the protocol of ext://beanName. The beanName is the name you give the extension point in the extension xml file.
IColumnTransform
This extension point allows custom column transformations to be created. There are a handful of out-of-the-box implementations. If any of these do not meet the column transformation needs of the application, then a custom transform can be created and registered. It can be activated by referencing the column transform’s name transform_type column of TRANSFORM_COLUMN
INodeIdCreator
This extension point allows SymmetricDS users to implement their own algorithms for how node ids and passwords are generated or selected during the registration process. There may be only one node creator per SymmetricDS instance (Please note that the node creator extension has replaced the node generator extension).
ITriggerCreationListener
Implement this extension point to get status callbacks during trigger creation.
IBatchAlgorithm
Implement this extension point and set the name of the Spring bean on the batch_algorithm column of the Channel table to use. This extension point gives fine grained control over how a channel is batched.
IDataRouter
Implement this extension point and set the name of the Spring bean on the router_type column of the Router table to use. This extension point gives the ability to programmatically decide which nodes data should be routed to.
IHeartbeatListener
Implement this extension point to get callbacks during the heartbeat job.
IOfflineClientListener
Implement this extension point to get callbacks for offline events on client nodes.
IOfflineServerListener
Implement this extension point to get callbacks for offline events detected on a server node during monitoring of client nodes.
INodePasswordFilter
Implement this extension point to intercept the saving and rendering of the node password.
7.2. Embedding in Android
SymmetricDS has its web-enabled, fault-tolerant, database synchronization software available on the Android mobile computing platform. The Android client follows all of the same concepts and brings to Android all of the same core SymmetricDS features as the full-featured, Java-based SymmetricDS client. The Android client is a little bit different in that it is not a stand-alone application, but is designed to be referenced as a library to run in-process with an Android application requiring synchronization for its SQLite database.
By using SymmetricDS, mobile application development is simplified, in that the mobile application developer can now focus solely on interacting with their local SQLite database. SymmetricDS takes care of capturing and moving data changes to and from a centralized database when the network is available
The same core libraries that are used for the SymmetricDS server are also used for Android. SymmetricDS’s overall footprint is reduced by eliminating a number of external dependencies in order to fit better on an Android device. The database access layer is abstracted so that the Android specific database access layer could be used. This allows SymmetricDS to be efficient in accessing the SQLite database on the Android device.
In order to convey how to use the SymmetricDS Android libraries, the example below will show how to integrate an Android application with the Quick-Start demo configuration. This Android application will create an embedded SQLite database, all SymmetricDS run-time tables, and configure the Quick-Start demo tables (ITEM, ITEM_SELLING_PRICE, SALE_TRANSACTION, SALE_RETURN_LINE_ITEM) for synchronization. The application has a basic user interface that can run queries on the SQLite database to demonstrate synchronization with a Quick-Start demo corp server.
Android Studio 3.0.1 and Android SDK 26 were used for this example. The example Android application can be cloned into Android Studio using the GitHub project located here: https://github.com/JumpMind/symmetric-android-client-demo
SymmetricDS for Android comes as a zip file of Java archives (jar files) that are required by the SymmetricDS client at runtime. The libs directory containing the necessary .jar files can be downloaded as a zip archive (symmetric-android-VERSION.zip) from the SymmetricDS downloads page. Alternatively, the libs directory can be generated by cloning the symmetric-ds GitHub repository and running the following command in the symmetric-assemble directory:
./gradlew androidDistZip
The first step to using SymmetricDS in an Android application is to unzip the jar files into a location where the project will recognize them. The latest Android SDK requires that these jar files be put into a libs directory under the app directory of the Android application project.
In order to sync properly, the Sync URL of the corp-000 node must be updated to use the IP address of host rather than localhost. Then, update the String REGISTRATION_URL in the DbProvider class of the Android project to the new Sync URL of the corp-000 node. |
Next, set up an Android Emulator or connect and Android device. This can be done by opening the Android Virtual Device Manager. Click New and follow the steps. The higher the Emulator’s API, the better.
Run your Android Application by pressing the Run button in Android Studio. When prompted, select the emulator you just created. Monitor the Console in Android Studio. Let the apk install on the emulator. Now watch the LogCat and wait as it attempts to register with your SymmetricDS Master Node.
The core functionality of SymmetricDS on Android is implemented by starting the SymmetricService class as an Android service. This requires building the SymmetricDS Android libraries using the steps mentioned above and adding them to your Android project’s dependencies.
The SymmetricService Intent is defined in the AndroidManifest.xml using the following XML snippet:
<service android:name="org.jumpmind.symmetric.android.SymmetricService" android:enabled="true" >
<intent-filter>
<action android:name="org.jumpmind.symmetric.android.SymmetricService" />
</intent-filter>
</service>
The SymmetricService Intent is started using the following java code:
Intent intent = new Intent(getContext(), SymmetricService.class);
// Replace extras with desired node configuration
intent.putExtra(SymmetricService.INTENTKEY_SQLITEOPENHELPER_REGISTRY_KEY, DATABASE_NAME);
intent.putExtra(SymmetricService.INTENTKEY_REGISTRATION_URL, REGISTRATION_URL);
intent.putExtra(SymmetricService.INTENTKEY_EXTERNAL_ID, NODE_ID);
intent.putExtra(SymmetricService.INTENTKEY_NODE_GROUP_ID, NODE_GROUP);
intent.putExtra(SymmetricService.INTENTKEY_START_IN_BACKGROUND, true);
Properties properties = new Properties();
// Put any additional SymmetricDS parameters into properties
intent.putExtra(SymmetricService.INTENTKEY_PROPERTIES, properties);
getContext().startService(intent);
7.3. Embedding in C/C++
A minimal implementation of the SymmetricDS client is written in C, which includes a shared library named "libsymclient" and a command line executable named "sym" for synchronizing a database. It currently only supports the SQLite database. The SymmetricDS C library and client are built from the following projects:
- symmetric-client-clib
-
This project contains most of the code and builds the libsymclient C library. It depends on libcurl, libsqlite3, and libcsv.
- symmetric-client-clib-test
-
This project links against the C library to runs unit tests. It also depends on the CUnit library.
- symmetric-client-native
-
This project links against the C library to build the sym executable.
The binaries are built using Eclipse CDT (C/C++ Development Tooling), which is an Integrated Developer Environment based on the Eclipse platform. A distribution of Eclipse CDT can be downloaded or an existing Eclipse installation can be updated to include the CDT. (See https://eclipse.org/cdt/ for information and downloads.) In the future, the projects above will switch to a general build system like Autotools for automating builds, but for now Eclipse is required.
The "sym" executable can be run from the command line and expects the "libsymclient.so" library to be installed on the system. If running from the project directories during development, the path to the library can be specified with the LD_LIBRARY_PATH environment variable on Linux, the DYLD_LIBRARY_PATH on Mac OS X, or PATH on Windows. The executable will look for a "symmetric.properties" file containing startup parameters in the user’s home directory or in the current directory:
LD_LIBRARY_PATH=../../symmetric-client-clib/Debug ./sym
It will also accept an argument of the path and filename of the properties file to use:
LD_LIBRARY_PATH=../../symmetric-client-clib/Debug ./sym /path/to/client.properties
The client uses Startup Parameters to connect to a database, identify itself, and register with a server to request synchronization. Here is an example client.properties file:
db.url=sqlite:file:test.db
group.id=store
external.id=003
registration.url=http://localhost:31415/sync/corp-000
The symmetric-client-native project is an example of how to use the SymEngine API provided by the C library. The C library uses an object-oriented pattern and follows the same naming conventions as the Java project. All symbol names in the C library are prefixed with "Sym". Each Java class is represented in C with a struct that contains member data and pointers to member functions. Here is an example C program that runs the SymmetricDS engine:
#include "libsymclient.h"
int main(int argCount, char **argValues) {
// Startup and runtime parameters
SymProperties *prop = SymProperties_new(NULL);
prop->put(prop, SYM_PARAMETER_DB_URL, "sqlite:file:data.db");
prop->put(prop, SYM_PARAMETER_GROUP_ID, "store");
prop->put(prop, SYM_PARAMETER_EXTERNAL_ID, "003");
prop->put(prop, SYM_PARAMETER_REGISTRATION_URL, "http://localhost:31415/sync/corp-000");
// Uncomment to read parameters from a file instead
//SymProperties *prop = SymProperties_newWithFile(NULL, fileName);
SymEngine *engine = SymEngine_new(NULL, prop);
// Connects to database, creates config/runtime tables and triggers
engine->start(engine);
// Pull changes from remote nodes
engine->pull(engine);
// Create batches of captured changes
engine->route(engine);
// Push changes to remote nodes
engine->push(engine);
// Create a heartbeat batch with current host information
engine->heartbeat(engine, 0);
// Purge old batch data that has successfully synced
engine->purge(engine);
// Clean up
engine->stop(engine);
engine->destroy(engine);
prop->destroy(prop);
return 0;
}
8. By Example
This chapter focuses on using examples for a variety of use cases with SymmetricDS.
8.1. Replicating CSV File Into a Database
8.1.1. SymmetricDS Setup
-
Create or choose a target table for your target node group. For this example, we will create a table, person, for the "corp" node group.
-
Next, a file trigger should be created to watch for csv files at the specified base directory. You can also specify files that should be included to set off the trigger.
FileSync needs to be enabled for each node group to create file triggers. |
-
After the file trigger is created, a router should be created so that the changes can be routed to the correct location. The communication link needs to be specified as well as the router type and target table. In this example, "store" is the source node group which communicates to the target node group,"corp". The router type is csv and person is the target table.
-
Finally, a file routing link should be created between the file trigger and router.
-
Testing. You are now ready to test your csv to database routing. Add a csv file that matches your table specifications to your base directory or make a change to a pre-existing csv file in the directory. File sync tracker checks for changes in already sync’d files and runs every 5 minutes. File sync pull checks for new files to pull down and runs every 1 minute. Depending on the change you choose (changing a file or adding a file), wait the appropriate amount of time and then verify that the changes are shown in the target table.
select * from person;
Appendix A: Data Model
What follows is the complete SymmetricDS data model. Note that all tables are prepended with a configurable prefix so that multiple instances of SymmetricDS may coexist in the same database. The default prefix is sym_.
SymmetricDS configuration is entered by the user into the data model to control the behavior of what data is synchronized to which nodes.
At runtime, the configuration is used to capture data changes and route them to nodes. The data changes are placed together in a single unit called a batch that can be loaded by another node. Outgoing batches are delivered to nodes and acknowledged. Incoming batches are received and loaded. History is recorded for batch status changes and statistics.
A.1. CHANNEL
This table represents a category of data that can be synchronized independently of other channels. Channels allow control over the type of data flowing and prevents one type of synchronization from contending with another.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
CHANNEL_ID |
VARCHAR |
128 |
PK |
X |
A unique identifer, usually named something meaningful, like 'sales' or 'inventory'. |
|
PROCESSING_ORDER |
INTEGER |
1 |
X |
Order of sequence to process channel data. |
||
MAX_BATCH_SIZE |
INTEGER |
1000 |
X |
The maximum number of Data Events to process within a batch for this channel. |
||
MAX_BATCH_TO_SEND |
INTEGER |
60 |
X |
The maximum number of batches to send during a 'synchronization' between two nodes. A 'synchronization' is equivalent to a push or a pull. If there are 12 batches ready to be sent for a channel and max_batch_to_send is equal to 10, then only the first 10 batches will be sent. |
||
MAX_DATA_TO_ROUTE |
INTEGER |
100000 |
X |
The maximum number of data rows to route for a channel at a time. |
||
EXTRACT_PERIOD_MILLIS |
INTEGER |
0 |
X |
The minimum number of milliseconds allowed between attempts to extract data for targeted at a node_id. |
||
ENABLED |
TINYINT |
1 |
1 |
X |
Indicates whether channel is enabled or not. |
|
USE_OLD_DATA_TO_ROUTE |
TINYINT |
1 |
1 |
X |
Indicates whether to read the old data during routing. |
|
USE_ROW_DATA_TO_ROUTE |
TINYINT |
1 |
1 |
X |
Indicates whether to read the row data during routing. |
|
USE_PK_DATA_TO_ROUTE |
TINYINT |
1 |
1 |
X |
Indicates whether to read the pk data during routing. |
|
RELOAD_FLAG |
TINYINT |
1 |
0 |
X |
Indicates that this channel is used for reloads. |
|
FILE_SYNC_FLAG |
TINYINT |
1 |
0 |
X |
Indicates that this channel is used for file sync. |
|
CONTAINS_BIG_LOB |
TINYINT |
1 |
0 |
X |
Provides SymmetricDS a hint on how to treat captured data. Currently only supported by Oracle, Interbase and Firebird. If set to '0', then selects for routing and data extraction will be more efficient and lobs will be truncated at 4k in the trigger text. When it is set to '0' there is a 4k limit on the total size of a row and on the size of a LOB column. |
|
BATCH_ALGORITHM |
VARCHAR |
50 |
default |
X |
The algorithm to use when batching data on this channel. Possible values are: 'default', 'transactional', and 'nontransactional' |
|
DATA_LOADER_TYPE |
VARCHAR |
50 |
default |
X |
Identify the type of data loader this channel should use. Allows for the default dataloader to be swapped out via configuration for more efficient platform specific data loaders. |
|
DESCRIPTION |
VARCHAR |
255 |
Description on the type of data carried in this channel. |
|||
QUEUE |
VARCHAR |
25 |
default |
X |
User provided queue name for channel to operate on. Creates multi-threaded channels. Defaults to 'default' thread |
|
MAX_NETWORK_KBPS |
DECIMAL |
10,3 |
0.000 |
X |
The maximum network transfer rate in kilobytes per second. Zero or negative means unlimited. Channels running in serial or parallel can have an effect on how much bandwidth can be used and when a channel will be processed. This is currently only implemented when staging is enabled. |
|
DATA_EVENT_ACTION |
CHAR |
1 |
For a node group link with a data event action of B (both), select how to send changes to the target node group. (P = Push, W = Wait for Pull) |
|||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.2. CONFLICT
Defines how conflicts in row data should be handled during the load process.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
CONFLICT_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for a specific conflict detection setting. |
|
SOURCE_NODE_GROUP_ID |
VARCHAR |
50 |
FK |
X |
The source node group for which this setting will be applied to. References a node group link. |
|
TARGET_NODE_GROUP_ID |
VARCHAR |
50 |
FK |
X |
The target node group for which this setting will be applied to. References a node group link. |
|
TARGET_CHANNEL_ID |
VARCHAR |
128 |
Optional channel that this setting will be applied to. |
|||
TARGET_CATALOG_NAME |
VARCHAR |
255 |
Optional database catalog that the target table belongs to. Only use this if the target table is not in the default catalog. |
|||
TARGET_SCHEMA_NAME |
VARCHAR |
255 |
Optional database schema that the target table belongs to. Only use this if the target table is not in the default schema. |
|||
TARGET_TABLE_NAME |
VARCHAR |
255 |
Optional database table that this setting will apply to. If left blank, the setting will be for any table in the channel (if set) and in the specified node group link. |
|||
DETECT_TYPE |
VARCHAR |
128 |
X |
Indicates the strategy to use for detecting conflicts during a dml action. The possible values are: use_pk_data (manual, fallback, ignore), use_changed_data (manual, fallback, ignore), use_old_data (manual, fallback, ignore), use_timestamp (newer_wins), use_version (newer_wins) |
||
DETECT_EXPRESSION |
LONGVARCHAR |
An expression that provides additional information about the detection mechanism. If the detection mechanism is use_timestamp or use_version then this expression will be the name of the timestamp or version column. |
||||
RESOLVE_TYPE |
VARCHAR |
128 |
X |
Indicates the strategy for resolving update conflicts. The possible values differ based on the detect_type that is specified. |
||
PING_BACK |
VARCHAR |
128 |
X |
Indicates the strategy for sending resolved conflicts back to the source system. Possible values are: OFF, SINGLE_ROW, and REMAINING_ROWS. |
||
RESOLVE_CHANGES_ONLY |
TINYINT |
1 |
0 |
Indicates that when applying changes during an update that only data that has changed should be applied. Otherwise, all the columns will be updated. This really only applies to updates. |
||
RESOLVE_ROW_ONLY |
TINYINT |
1 |
0 |
Indicates that an action should take place for the entire batch if possible. This applies to a resolve type of 'ignore'. If a row is in conflict and the resolve type is 'ignore', then the entire batch will be ignored. |
||
CREATE_TIME |
TIMESTAMP |
X |
The date and time when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
The date and time when a user last updated this entry. |
A.3. CONTEXT
Context variables used by runtime services on a single node
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NAME |
VARCHAR |
80 |
PK |
X |
The name of the context variable. |
|
CONTEXT_VALUE |
LONGVARCHAR |
The value of the context variable. |
||||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when emtry was last updated. |
A.4. DATA
The captured data change that occurred to a row in the database. Entries in data are created by database triggers.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
DATA_ID |
BIGINT |
PK |
X |
Unique identifier for a data. |
||
TABLE_NAME |
VARCHAR |
255 |
X |
The name of the table in which a change occurred that this entry records. |
||
EVENT_TYPE |
CHAR |
1 |
X |
The type of event captured by this entry. For triggers, this is the change that occurred, which is 'I' for insert, 'U' for update, or 'D' for delete. Other events include: 'R' for reloading the entire table (or subset of the table) to the node; 'S' for running dynamic SQL at the node, which is used for adhoc administration. |
||
ROW_DATA |
LONGVARCHAR |
The captured data change from the synchronized table. The column values are stored in comma-separated values (CSV) format. |
||||
PK_DATA |
LONGVARCHAR |
The primary key values of the captured data change from the synchronized table. This data is captured for updates and deletes. The primary key values are stored in comma-separated values (CSV) format. |
||||
OLD_DATA |
LONGVARCHAR |
The captured data values prior to the update. The column values are stored in CSV format. |
||||
TRIGGER_HIST_ID |
INTEGER |
X |
The foreign key to the trigger_hist entry that contains the primary key and column names for the table being synchronized. |
|||
CHANNEL_ID |
VARCHAR |
128 |
The channel that this data belongs to, such as 'prices' |
|||
TRANSACTION_ID |
VARCHAR |
255 |
An optional transaction identifier that links multiple data changes together as the same transaction. |
|||
SOURCE_NODE_ID |
VARCHAR |
50 |
If the data was inserted by a SymmetricDS data loader, then the id of the source node is record so that data is not re-routed back to it. |
|||
EXTERNAL_DATA |
VARCHAR |
50 |
A field that can be populated by a trigger that uses the EXTERNAL_SELECT |
|||
NODE_LIST |
VARCHAR |
255 |
A field that can be populated with a comma separated subset of node ids which will be the only nodes available to the router |
|||
IS_PREROUTED |
TINYINT |
1 |
0 |
X |
Set to true when routing should ignore this row because data_event and outgoing_batch rows are manually entered. |
|
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
A.5. DATA_EVENT
Each row represents the mapping between a data change that was captured and the batch that contains it. Entries in data_event are created as part of the routing process.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
DATA_ID |
BIGINT |
PK |
X |
Id of the data to be routed. |
||
BATCH_ID |
BIGINT |
PK |
X |
Id of the batch containing the data. |
||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
A.6. DATA_GAP
Used only when routing.data.reader.type is set to 'gap.' Table that tracks gaps in the data table so that they may be processed efficiently, if data shows up. Gaps can show up in the data table if a database transaction is rolled back.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
START_ID |
BIGINT |
PK |
X |
The first missing data_id from the data table where a gap is detected. This could be the last data_id inserted plus one. |
||
END_ID |
BIGINT |
PK |
X |
The last missing data_id from the data table where a gap is detected. If the start_id is the last data_id inserted plus one, then this field is filled in with a -1. |
||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_HOSTNAME |
VARCHAR |
255 |
The host who last updated this entry. |
A.7. EXTENSION
Dynamic extensions stored in the database that plug-in to the running engine and receive callbacks according to their interface.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
EXTENSION_ID |
VARCHAR |
50 |
PK |
X |
The unique id of the extension. |
|
EXTENSION_TYPE |
VARCHAR |
10 |
X |
The type of the extension. Types are 'java' and 'bsh' |
||
INTERFACE_NAME |
VARCHAR |
255 |
Name of interface, required for 'bsh' only. |
|||
NODE_GROUP_ID |
VARCHAR |
50 |
X |
Target the extension at a specific node group id. To target all groups, use the value of 'ALL'. |
||
ENABLED |
TINYINT |
1 |
1 |
X |
Whether or not the extension is enabled. |
|
EXTENSION_ORDER |
INTEGER |
1 |
X |
Specifies the order in which to install extensions when multiple extensions implement the same interface. |
||
EXTENSION_TEXT |
LONGVARCHAR |
The script or code of the extension. |
||||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.8. EXTRACT_REQUEST
This table is used internally to request the extract of initial loads asynchronously when the initial load extract job is enabled.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
REQUEST_ID |
BIGINT |
PK |
X |
Unique identifier for a request. |
||
NODE_ID |
VARCHAR |
50 |
X |
The node_id of the batch being loaded. |
||
QUEUE |
VARCHAR |
128 |
The channel queue name of the batch being loaded. |
|||
STATUS |
CHAR |
2 |
NE, OK |
|||
START_BATCH_ID |
BIGINT |
X |
A load can be split across multiple batches. This is the first of N batches the load will be split across. |
|||
END_BATCH_ID |
BIGINT |
X |
This is the last of N batches the load will be split across. |
|||
TRIGGER_ID |
VARCHAR |
128 |
X |
Unique identifier for a trigger associated with the extract request. |
||
ROUTER_ID |
VARCHAR |
50 |
X |
Unique description of the router associated with the extract request. |
||
LOAD_ID |
BIGINT |
The load id associated with the extract request. |
||||
TABLE_NAME |
VARCHAR |
255 |
The table name for this extract request |
|||
EXTRACTED_ROWS |
BIGINT |
0 |
X |
The rows in this table that have been extracted to target |
||
EXTRACTED_MILLIS |
BIGINT |
0 |
X |
The time spent extracting this table |
||
TRANSFERRED_ROWS |
BIGINT |
0 |
X |
The rows in this table that have been transferred to target |
||
TRANSFERRED_MILLIS |
BIGINT |
0 |
X |
The time spent transfering this table |
||
LAST_TRANSFERRED_BATCH_ID |
BIGINT |
The last batch id that was successfully transferred to the target |
||||
LOADED_ROWS |
BIGINT |
0 |
X |
The rows in this table that have been loaded to the target |
||
LOADED_MILLIS |
BIGINT |
0 |
X |
The time spent loading this table |
||
LAST_LOADED_BATCH_ID |
BIGINT |
The last batch id that was successfully loaded on the target |
||||
TOTAL_ROWS |
BIGINT |
The rows in this table to be extracted |
||||
LOADED_TIME |
TIMESTAMP |
Timestamp when this table was loaded. |
||||
PARENT_REQUEST_ID |
BIGINT |
0 |
X |
Parent request_id that will actually handle the extract for this request. |
||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a process last updated this entry. |
||||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
A.9. FILE_INCOMING
As files are loaded from another node the file and source node are captured here for file sync to use to prevent file ping backs in bidirectional file synchronization.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
RELATIVE_DIR |
VARCHAR |
255 |
PK |
X |
The path to the file starting at the base_dir and excluding the file name itself. |
|
FILE_NAME |
VARCHAR |
128 |
PK |
X |
The name of the file that has been loaded. |
|
LAST_EVENT_TYPE |
CHAR |
1 |
X |
The type of event that caused the file to be loaded from another node. 'C' is for create, 'M' is for modified, and 'D' is for deleted. |
||
NODE_ID |
VARCHAR |
50 |
X |
The node_id of the source of the batch being loaded. |
||
FILE_MODIFIED_TIME |
BIGINT |
The last modified time of the file at the time the file was loaded. |
A.10. FILE_SNAPSHOT
Table used to capture file changes. Updates to the table are captured and routed according to the configured file trigger routers.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRIGGER_ID |
VARCHAR |
128 |
PK |
X |
The id of the trigger that caused this snapshot to be taken. |
|
ROUTER_ID |
VARCHAR |
50 |
PK |
X |
The id of the router that caused this snapshot to be taken. |
|
RELATIVE_DIR |
VARCHAR |
255 |
PK |
X |
The path to the file starting at the base_dir |
|
FILE_NAME |
VARCHAR |
128 |
PK |
X |
The name of the file that changed. |
|
CHANNEL_ID |
VARCHAR |
128 |
filesync |
X |
The channel_id of the channel that data changes will flow through. |
|
RELOAD_CHANNEL_ID |
VARCHAR |
128 |
filesync_reload |
X |
The channel_id of the channel that data changes will flow through. |
|
LAST_EVENT_TYPE |
CHAR |
1 |
X |
The type of event captured by this entry. 'C' is for create, 'M' is for modified, and 'D' is for deleted. |
||
CRC32_CHECKSUM |
BIGINT |
File checksum. Can be used to determine if file content has changed. |
||||
FILE_SIZE |
BIGINT |
The size in bytes of the file at the time this change was detected. |
||||
FILE_MODIFIED_TIME |
BIGINT |
The last modified time of the file at the time this change was detected. |
||||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
A.11. FILE_TRIGGER
This table defines files or sets of files for which changes will be captured for file synchronization
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRIGGER_ID |
VARCHAR |
128 |
PK |
X |
Unique identifier for a trigger. |
|
CHANNEL_ID |
VARCHAR |
128 |
filesync |
X |
The channel_id of the channel that data changes will flow through. |
|
RELOAD_CHANNEL_ID |
VARCHAR |
128 |
filesync_reload |
X |
The channel_id of the channel that will be used for reloads. |
|
BASE_DIR |
VARCHAR |
255 |
X |
The base directory on the client that will be synchronized. |
||
RECURSE |
TINYINT |
1 |
1 |
X |
Whether to synchronize child directories. |
|
INCLUDES_FILES |
VARCHAR |
255 |
Wildcard-enabled, comma-separated list of file to include in synchronization. |
|||
EXCLUDES_FILES |
VARCHAR |
255 |
Wildcard-enabled, comma-separated list of file to exclude from synchronization. |
|||
SYNC_ON_CREATE |
TINYINT |
1 |
1 |
X |
Whether to capture and send files when they are created. |
|
SYNC_ON_MODIFIED |
TINYINT |
1 |
1 |
X |
Whether to capture and send files when they are modified. |
|
SYNC_ON_DELETE |
TINYINT |
1 |
1 |
X |
Whether to capture and remove files when they are deleted. |
|
SYNC_ON_CTL_FILE |
TINYINT |
1 |
0 |
X |
Combined with sync_on_create, determines whether to capture and send files when a matching control file exists. The control file is a file of the same name with a '.ctl' extension appended to the end. |
|
DELETE_AFTER_SYNC |
TINYINT |
1 |
0 |
X |
Determines whether to delete the file after it has synced successfully. |
|
BEFORE_COPY_SCRIPT |
LONGVARCHAR |
A bsh script that is run right before the file copy. |
||||
AFTER_COPY_SCRIPT |
LONGVARCHAR |
A bsh script that is run right after the file copy. |
||||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp of when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp of when a user last updated this entry. |
|||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for file_trigger |
A.12. FILE_TRIGGER_ROUTER
Maps a file trigger to a router.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRIGGER_ID |
VARCHAR |
128 |
PK FK |
X |
The id of a file trigger. |
|
ROUTER_ID |
VARCHAR |
50 |
PK FK |
X |
The id of a router. |
|
ENABLED |
TINYINT |
1 |
1 |
X |
Indicates whether this file trigger router is enabled or not. |
|
INITIAL_LOAD_ENABLED |
TINYINT |
1 |
1 |
X |
Indicates whether this file trigger should be initial loaded. |
|
TARGET_BASE_DIR |
VARCHAR |
255 |
The base directory on the destination that files will be synchronized to. |
|||
CONFLICT_STRATEGY |
VARCHAR |
128 |
source_wins |
X |
The strategy to employ when a file has been modified at both the client and the server. Possible values are: source_wins, target_wins, manual |
|
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
|||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for file_trigger_router |
A.13. GROUPLET
Deprecated in 3.9. This tables defines named groups to which nodes can belong to based on their external id. Grouplets are used to designate that synchronization should only affect an explicit subset of nodes in a node group.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
GROUPLET_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for the grouplet. |
|
GROUPLET_LINK_POLICY |
CHAR |
1 |
I |
X |
Specified whether the external ids in the grouplet_link are included in the group or excluded from the grouplet. In the case of excluded, the grouplet starts with all external ids and removes the excluded ones listed. Use 'I' for inclusive and 'E' for exclusive. |
|
DESCRIPTION |
VARCHAR |
255 |
A description of this grouplet. |
|||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
A.14. GROUPLET_LINK
Deprecated in 3.9. This tables defines nodes belong to a grouplet based on their external.id
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
GROUPLET_ID |
VARCHAR |
50 |
PK FK |
X |
Unique identifier for the grouplet. |
|
EXTERNAL_ID |
VARCHAR |
255 |
PK |
X |
Provides a means to select the nodes that belong to a grouplet. |
|
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
A.15. INCOMING_BATCH
The incoming_batch is used for tracking the status of loading an outgoing_batch from another node. Data is loaded and commited at the batch level. The status of the incoming_batch is either successful (OK) or error (ER).
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
BATCH_ID |
BIGINT |
50 |
PK |
X |
The id of the outgoing_batch that is being loaded. |
|
NODE_ID |
VARCHAR |
50 |
PK |
X |
The node_id of the source of the batch being loaded. |
|
CHANNEL_ID |
VARCHAR |
128 |
The channel_id of the batch being loaded. |
|||
STATUS |
CHAR |
2 |
The current status of the batch can be loading (LD), successfully loaded (OK), in error (ER) or skipped (SK) |
|||
ERROR_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that this batch was in error during the last synchornization attempt. |
||
SQL_STATE |
VARCHAR |
10 |
For a status of error (ER), this is the XOPEN or SQL 99 SQL State. |
|||
SQL_CODE |
INTEGER |
0 |
X |
For a status of error (ER), this is the error code from the database that is specific to the vendor. |
||
SQL_MESSAGE |
LONGVARCHAR |
For a status of error (ER), this is the error message that describes the error. |
||||
LAST_UPDATE_HOSTNAME |
VARCHAR |
255 |
The host name of the process that last did work on this batch. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a process last updated this entry. |
||||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
SUMMARY |
VARCHAR |
255 |
A high level summary of what is included in a batch, often a list of table names. |
|||
IGNORE_COUNT |
INTEGER |
0 |
X |
The number of times a batch was ignored. |
||
BYTE_COUNT |
BIGINT |
0 |
X |
The number of bytes that were sent as part of this batch. |
||
LOAD_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that this batch is part of an initial load. |
||
EXTRACT_COUNT |
INTEGER |
0 |
X |
The number of times this an attempt to extract this batch occurred. |
||
SENT_COUNT |
INTEGER |
0 |
X |
The number of times this batch was sent. A batch can be sent multiple times if an ACK is not received. |
||
LOAD_COUNT |
INTEGER |
0 |
X |
The number of times an attempt to load this batch occurred. |
||
RELOAD_ROW_COUNT |
INTEGER |
0 |
X |
The number of reloads in the batch, which include rows from any extract transforms. |
||
OTHER_ROW_COUNT |
INTEGER |
0 |
X |
The number of SQL, BSH, and DDL events in the batch, which include rows from any extract transforms. |
||
DATA_ROW_COUNT |
INTEGER |
0 |
X |
The total number of rows in the batch, which include rows from any extract transforms. |
||
EXTRACT_ROW_COUNT |
INTEGER |
0 |
X |
The total number of rows extracted from the capture log. |
||
LOAD_ROW_COUNT |
INTEGER |
0 |
X |
The total number of rows loaded into the database, which includes rows from any load transforms or filters. |
||
DATA_INSERT_ROW_COUNT |
INTEGER |
0 |
X |
The number of inserts in the batch, which include rows from any extract transforms. |
||
DATA_UPDATE_ROW_COUNT |
INTEGER |
0 |
X |
The number of updates in the batch, which include rows from any extract transforms. |
||
DATA_DELETE_ROW_COUNT |
INTEGER |
0 |
X |
The number of deletes in the batch, which include rows from any extract transforms. |
||
EXTRACT_INSERT_ROW_COUNT |
INTEGER |
0 |
X |
The number of inserts extracted from the capture log. |
||
EXTRACT_UPDATE_ROW_COUNT |
INTEGER |
0 |
X |
The number of updates extracted from the capture log. |
||
EXTRACT_DELETE_ROW_COUNT |
INTEGER |
0 |
X |
The number of deletes extracted from the capture log. |
||
LOAD_INSERT_ROW_COUNT |
INTEGER |
0 |
X |
The number of inserts loaded into the database, which includes rows from any load transforms or filters. |
||
LOAD_UPDATE_ROW_COUNT |
INTEGER |
0 |
X |
The number of updates loaded into the database, which includes rows from any load transforms or filters. |
||
LOAD_DELETE_ROW_COUNT |
INTEGER |
0 |
X |
The number of deletes loaded into the database, which includes rows from any load transforms or filters. |
||
NETWORK_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent transfering this batch across the network. |
||
FILTER_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent in filters processing data. |
||
LOAD_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent loading the data into the target database. |
||
ROUTER_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent creating this batch. |
||
EXTRACT_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent extracting the data out of the source database. |
||
TRANSFORM_EXTRACT_MILLIS |
INTEGER |
0 |
X |
Not implemented. The number of milliseconds spent transforming the data on the extract side. |
||
TRANSFORM_LOAD_MILLIS |
INTEGER |
0 |
X |
Not implemented. The number of milliseconds spent transforming the data on the load side. |
||
LOAD_ID |
BIGINT |
An id that ties multiple batches together to identify them as being part of an initial load. |
||||
COMMON_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that the data in this batch is shared by other nodes (they will have the same batch_id). Shared batches will be extracted to a common location. |
||
FALLBACK_INSERT_COUNT |
INTEGER |
0 |
X |
The number of times an update was turned into an insert because the data was not already in the target database. |
||
FALLBACK_UPDATE_COUNT |
INTEGER |
0 |
X |
The number of times an insert was turned into an update because a data row already existed in the target database. |
||
IGNORE_ROW_COUNT |
INTEGER |
0 |
X |
The number of times a row was ignored. |
||
MISSING_DELETE_COUNT |
INTEGER |
0 |
X |
The number of times a delete did not affect the database because the row was already deleted. |
||
SKIP_COUNT |
INTEGER |
0 |
X |
The number of times a batch was sent and skipped because it had already been loaded according to incoming_batch. |
||
FAILED_ROW_NUMBER |
INTEGER |
0 |
X |
This numbered data event that failed as read from the CSV. |
||
FAILED_LINE_NUMBER |
INTEGER |
0 |
X |
The current line number in the CSV for this batch that failed. |
||
FAILED_DATA_ID |
BIGINT |
0 |
X |
For a status of error (ER), this is the data_id that was being processed when the batch failed. |
A.16. INCOMING_ERROR
The captured data change that is in error for a batch. The user can tell the system what to do by updating the resolve columns. Entries in data_error are created when an incoming batch encounters an error.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
BATCH_ID |
BIGINT |
50 |
PK |
X |
The id of the outgoing_batch that is being loaded. |
|
NODE_ID |
VARCHAR |
50 |
PK |
X |
The node_id of the source of the batch being loaded. A node_id of -1 means that the batch was 'unrouted'. |
|
FAILED_ROW_NUMBER |
BIGINT |
PK |
X |
The row number in the batch that encountered an error when loading. |
||
FAILED_LINE_NUMBER |
BIGINT |
0 |
X |
The current line number in the CSV for this batch that failed. |
||
TARGET_CATALOG_NAME |
VARCHAR |
255 |
The catalog name for the table being loaded. |
|||
TARGET_SCHEMA_NAME |
VARCHAR |
255 |
The schema name for the table being loaded. |
|||
TARGET_TABLE_NAME |
VARCHAR |
255 |
X |
The table name for the table being loaded. |
||
EVENT_TYPE |
CHAR |
1 |
X |
The type of event captured by this entry. For triggers, this is the change that occurred, which is 'I' for insert, 'U' for update, or 'D' for delete. Other events include: 'R' for reloading the entire table (or subset of the table) to the node; 'S' for running dynamic SQL at the node, which is used for adhoc administration. |
||
BINARY_ENCODING |
VARCHAR |
10 |
HEX |
X |
The type of encoding the source system used for encoding binary data. |
|
COLUMN_NAMES |
LONGVARCHAR |
X |
The column names defined on the table. The column names are stored in comma-separated values (CSV) format. |
|||
PK_COLUMN_NAMES |
LONGVARCHAR |
X |
The primary key column names defined on the table. The column names are stored in comma-separated values (CSV) format. |
|||
ROW_DATA |
LONGVARCHAR |
The row data from the batch as captured from the source. The column values are stored in comma-separated values (CSV) format. |
||||
OLD_DATA |
LONGVARCHAR |
The old row data prior to update from the batch as captured from the source. The column values are stored in CSV format. |
||||
CUR_DATA |
LONGVARCHAR |
The current row data that caused the error to occur. The column values are stored in CSV format. |
||||
RESOLVE_DATA |
LONGVARCHAR |
The capture data change from the user that is used instead of row_data. This is useful when resolving a conflict manually by specifying the data that should load. |
||||
RESOLVE_IGNORE |
TINYINT |
1 |
0 |
Indication from the user that the row_data should be ignored and the batch can continue loading with the next row. |
||
CONFLICT_ID |
VARCHAR |
50 |
Unique identifier for the conflict detection setting that caused the error |
|||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
A.17. JOB
Defines custom jobs that can be executed in the SymmetricDS instance.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
JOB_NAME |
VARCHAR |
50 |
PK |
X |
The unique name of the job |
|
JOB_TYPE |
VARCHAR |
10 |
X |
The type of the job. Valid values are 'sql', 'java' and 'bsh'. The system exclusively uses the 'built_in' job type. |
||
REQUIRES_REGISTRATION |
TINYINT |
1 |
1 |
X |
Does the engine need to be registered for this job to run? |
|
JOB_EXPRESSION |
LONGVARCHAR |
The payload of the job. For bsh (beanshell) jobs, this should be bsh script. For Java jobs, this should be Java code of a class which implements the IJob interface. For SQL jobs, this should be a sql script. |
||||
DESCRIPTION |
VARCHAR |
255 |
An optional description of the job for users of the system. |
|||
DEFAULT_SCHEDULE |
VARCHAR |
50 |
The schedule to use if no schedule parameter is found. Overridden by job.jobname.period.time.ms or job.jobname.cron. |
|||
DEFAULT_AUTO_START |
TINYINT |
1 |
1 |
X |
Determine if this job should auto start. Overridden by start.jobname.job. |
|
NODE_GROUP_ID |
VARCHAR |
50 |
X |
Target the job at a specific node group id. To target all groups, use the value of 'ALL'. |
||
CREATE_BY |
VARCHAR |
50 |
The user who created this entry. |
|||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.18. LOAD_FILTER
A table that allows you to dynamically define filters using bsh.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
LOAD_FILTER_ID |
VARCHAR |
50 |
PK |
X |
The id of the load filter. |
|
LOAD_FILTER_TYPE |
VARCHAR |
10 |
X |
The type of load filter. Possible values include: BSH, JAVA, SQL |
||
SOURCE_NODE_GROUP_ID |
VARCHAR |
50 |
X |
The source node group for the filter. |
||
TARGET_NODE_GROUP_ID |
VARCHAR |
50 |
X |
The destination node group for the filter. |
||
TARGET_CATALOG_NAME |
VARCHAR |
255 |
Optional name for the catalog the configured table is in. |
|||
TARGET_SCHEMA_NAME |
VARCHAR |
255 |
Optional name for the schema a configured table is in. |
|||
TARGET_TABLE_NAME |
VARCHAR |
255 |
The name of the target table that will trigger the bsh filter. |
|||
FILTER_ON_UPDATE |
TINYINT |
1 |
1 |
X |
Whether or not the filter should apply on an update. |
|
FILTER_ON_INSERT |
TINYINT |
1 |
1 |
X |
Whether or not the filter should apply on an insert. |
|
FILTER_ON_DELETE |
TINYINT |
1 |
1 |
X |
Whether or not the filter should apply on a delete. |
|
BEFORE_WRITE_SCRIPT |
LONGVARCHAR |
The script to apply before the write is completed. |
||||
AFTER_WRITE_SCRIPT |
LONGVARCHAR |
The script to apply after the write is completed. |
||||
BATCH_COMPLETE_SCRIPT |
LONGVARCHAR |
The script to apply on batch complete. |
||||
BATCH_COMMIT_SCRIPT |
LONGVARCHAR |
The script to apply on batch commit. |
||||
BATCH_ROLLBACK_SCRIPT |
LONGVARCHAR |
The script to apply on batch rollback. |
||||
HANDLE_ERROR_SCRIPT |
LONGVARCHAR |
The script to apply when data cannot be processed. |
||||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
|||
LOAD_FILTER_ORDER |
INTEGER |
1 |
X |
Specifies the order in which to apply load filters if more than one target operation occurs. |
||
FAIL_ON_ERROR |
TINYINT |
1 |
0 |
X |
Whether we should fail the batch if the filter fails. |
A.19. LOCK
Contains semaphores that are set when processes run, so that only one server can run a process at a time. Enable this feature by using the cluster.lock.during.xxxx parameters.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
LOCK_ACTION |
VARCHAR |
50 |
PK |
X |
The process that needs a lock. |
|
LOCK_TYPE |
VARCHAR |
50 |
X |
Type of lock that indicates differently locking behavior. Types include cluster, exclusive, and shared. Cluster lock is used to allow one server to run at a time, but any process from the same server can overtake the lock, which avoids stalled processing. Exclusive lock is owned by one process, regardless of which server it is on, but another process can acquire the lock after lock_time is older than exclusive.lock.timeout.ms. Shared lock allows multiple processes to use the same lock, incrementing the shared_count, but requires no exclusive lock exists and prevents an exclusive lock. |
||
LOCKING_SERVER_ID |
VARCHAR |
255 |
The name of the server that currently has a lock. This is typically a host name, but it can be overridden using the -Druntime.symmetric.cluster.server.id=name System property. |
|||
LOCK_TIME |
TIMESTAMP |
The time a lock is aquired. Use the cluster.lock.timeout.ms to specify a lock timeout period. |
||||
SHARED_COUNT |
INTEGER |
0 |
X |
For a lock_type of SHARED, this is the number of processes sharing the same lock. After the shared_count drops to zero, a shared lock is removed. |
||
SHARED_ENABLE |
INTEGER |
0 |
X |
For a lock_type of SHARED, this flag set to 1 indicates that more processes can share the lock. If an exclusive lock is needed, the flag is set to 0 to prevent further shared locks from accumulating. |
||
LAST_LOCK_TIME |
TIMESTAMP |
Timestamp when a process last updated this entry. |
||||
LAST_LOCKING_SERVER_ID |
VARCHAR |
255 |
The server id of the process that last did work on this batch. |
A.20. NODE
Representation of an instance of SymmetricDS that synchronizes data with one or more additional nodes. Each node has a unique identifier (nodeId) that is used when communicating, as well as a domain-specific identifier (externalId) that provides context within the local system.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
A unique identifier for a node. |
|
NODE_GROUP_ID |
VARCHAR |
50 |
X |
The node group that this node belongs to, such as 'store'. |
||
EXTERNAL_ID |
VARCHAR |
255 |
X |
A domain-specific identifier for context within the local system. For example, the retail store number. |
||
SYNC_ENABLED |
TINYINT |
1 |
0 |
Indicates whether this node should be sent synchronization. Disabled nodes are ignored by the triggers, so no entries are made in data_event for the node. |
||
SYNC_URL |
VARCHAR |
255 |
The URL to contact the node for synchronization. |
|||
SCHEMA_VERSION |
VARCHAR |
50 |
The version of the database schema this node manages. Useful for specifying synchronization by version. |
|||
SYMMETRIC_VERSION |
VARCHAR |
50 |
The version of SymmetricDS running at this node. |
|||
CONFIG_VERSION |
VARCHAR |
50 |
The version of configuration running at this node. |
|||
DATABASE_TYPE |
VARCHAR |
50 |
The database product name at this node as reported by JDBC. |
|||
DATABASE_VERSION |
VARCHAR |
50 |
The database product version at this node as reported by JDBC. |
|||
BATCH_TO_SEND_COUNT |
INTEGER |
0 |
The number of outgoing batches that have not yet been sent. This field is updated as part of the heartbeat job if the heartbeat.update.node.with.batch.status property is set to true. |
|||
BATCH_IN_ERROR_COUNT |
INTEGER |
0 |
The number of outgoing batches that are in error at this node. This field is updated as part of the heartbeat job if the heartbeat.update.node.with.batch.status property is set to true. |
|||
CREATED_AT_NODE_ID |
VARCHAR |
50 |
The node_id of the node where this node was created. This is typically filled automatically with the node_id found in node_identity where registration was opened for the node. |
|||
DEPLOYMENT_TYPE |
VARCHAR |
50 |
An indicator as to the type of SymmetricDS software that is running. Possible values are, but not limited to: engine, standalone, war, professional, mobile |
|||
DEPLOYMENT_SUB_TYPE |
VARCHAR |
50 |
An indicator as to the deployment sub type of the node. Possible values are, but not limited to: load-only |
A.21. NODE_COMMUNICATION
This table is used to coordinate communication with other nodes.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for a node. |
|
QUEUE |
VARCHAR |
25 |
default |
PK |
X |
The queue name to use in relation to the channel. |
COMMUNICATION_TYPE |
VARCHAR |
10 |
PK |
X |
The type of communication that is taking place with this node. Valid values are: PULL, PUSH |
|
LOCK_TIME |
TIMESTAMP |
The timestamp when this node was locked |
||||
LOCKING_SERVER_ID |
VARCHAR |
255 |
The name of the server that currently has a pull lock for the node. This is typically a host name, but it can be overridden using the -Druntime.symmetric.cluster.server.id=name System property. |
|||
LAST_LOCK_TIME |
TIMESTAMP |
The timestamp when this node was last locked |
||||
LAST_LOCK_MILLIS |
BIGINT |
0 |
The amount of time the last communication took. |
|||
SUCCESS_COUNT |
BIGINT |
0 |
The number of successive successful communication attempts. |
|||
FAIL_COUNT |
BIGINT |
0 |
The number of successive failed communication attempts. |
|||
SKIP_COUNT |
BIGINT |
0 |
The number of skipped communication attempts. |
|||
TOTAL_SUCCESS_COUNT |
BIGINT |
0 |
The total number of successful communication attempts with the node. |
|||
TOTAL_FAIL_COUNT |
BIGINT |
0 |
The total number of failed communication attempts with the node. |
|||
TOTAL_SUCCESS_MILLIS |
BIGINT |
0 |
The total amount of time spent during successful communication attempts with the node. |
|||
TOTAL_FAIL_MILLIS |
BIGINT |
0 |
The total amount of time spent during failed communication attempts with the node. |
|||
BATCH_TO_SEND_COUNT |
BIGINT |
0 |
The number of batches this node has queued for pull. |
|||
NODE_PRIORITY |
INTEGER |
0 |
Used to order nodes when initiating a pull operation. Can be used to move a node to the top of the list to pull from it as quickly as possible. |
A.22. NODE_CHANNEL_CTL
Used to ignore or suspend a channel. A channel that is ignored will have its data_events batched and they will immediately be marked as 'OK' without sending them. A channel that is suspended is skipped when batching data_events.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for a node. |
|
CHANNEL_ID |
VARCHAR |
128 |
PK |
X |
The name of the channel_id that is being controlled. |
|
SUSPEND_ENABLED |
TINYINT |
1 |
0 |
Indicates if this channel is suspended, which prevents batches from being sent, although new batches can still be created. |
||
IGNORE_ENABLED |
TINYINT |
1 |
0 |
Indicates if this channel is ignored, which marks batches with a status of OK like they were actually processed. |
||
LAST_EXTRACT_TIME |
TIMESTAMP |
Record the last time data was extract for a node and a channel. |
A.23. NODE_GROUP
A category of Nodes that synchronizes data with one or more NodeGroups. A common use of NodeGroup is to describe a level in a hierarchy of data synchronization.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_GROUP_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for a node group, usually named something meaningful, like 'store' or 'warehouse'. |
|
DESCRIPTION |
VARCHAR |
255 |
A description of this node group. |
|||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.24. NODE_GROUP_CHANNEL_WND
An optional window of time for which a node group and channel will extract and send data.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_GROUP_ID |
VARCHAR |
50 |
PK |
X |
The node_group_id that this window applies to. |
|
CHANNEL_ID |
VARCHAR |
128 |
PK |
X |
The channel_id that this window applies to. |
|
START_TIME |
TIMESTAMP |
PK |
X |
The start time for the active window. |
||
END_TIME |
TIMESTAMP |
PK |
X |
The end time for the active window. Note that if the end_time is less than the start_time then the window crosses a day boundary. |
||
ENABLED |
TINYINT |
1 |
0 |
X |
Enable this window. If this is set to '0' then this window is ignored. |
A.25. NODE_GROUP_LINK
A source node_group sends its data updates to a target NodeGroup using a pull, push, or custom technique.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
SOURCE_NODE_GROUP_ID |
VARCHAR |
50 |
PK FK |
X |
The node group where data changes should be captured. |
|
TARGET_NODE_GROUP_ID |
VARCHAR |
50 |
PK FK |
X |
The node group where data changes will be sent. |
|
DATA_EVENT_ACTION |
CHAR |
1 |
W |
X |
The notification scheme used to send data changes to the target node group. (P = Push, W = Wait for Pull, B = Both Push and Wait for Pull (control from channel), R = Route-Only) |
|
SYNC_CONFIG_ENABLED |
TINYINT |
1 |
1 |
X |
Indicates whether configuration that has changed should be synchronized to target nodes on this link. |
|
IS_REVERSIBLE |
TINYINT |
1 |
0 |
X |
Indicates if communication can work in reverse as specified on the channel. A reversible push link can be overridden to pull, and a reversible pull link can be overridden to push on the channel. |
|
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.26. NODE_HOST
Representation of an physical workstation or server that is hosting the SymmetricDS software. In a clustered environment there may be more than one entry per node in this table.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
A unique identifier for a node. |
|
HOST_NAME |
VARCHAR |
60 |
PK |
X |
The host name of a workstation or server. If more than one instance of SymmetricDS runs on the same server, then this value can be a 'server id' specified by -Druntime.symmetric.cluster.server.id |
|
INSTANCE_ID |
VARCHAR |
60 |
A unique identifer generated by each installation of SymmetricDS. Used to to safe-guard against multi-access to the sym tables. |
|||
IP_ADDRESS |
VARCHAR |
50 |
The ip address for the host. |
|||
OS_USER |
VARCHAR |
50 |
The user SymmetricDS is running under |
|||
OS_NAME |
VARCHAR |
50 |
The name of the OS |
|||
OS_ARCH |
VARCHAR |
50 |
The hardware architecture of the OS |
|||
OS_VERSION |
VARCHAR |
50 |
The version of the OS |
|||
AVAILABLE_PROCESSORS |
INTEGER |
0 |
The number of processors available to use. |
|||
FREE_MEMORY_BYTES |
BIGINT |
0 |
The amount of free memory available to the JVM. |
|||
TOTAL_MEMORY_BYTES |
BIGINT |
0 |
The amount of total memory available to the JVM. |
|||
MAX_MEMORY_BYTES |
BIGINT |
0 |
The max amount of memory available to the JVM. |
|||
JAVA_VERSION |
VARCHAR |
50 |
The version of java that SymmetricDS is running as. |
|||
JAVA_VENDOR |
VARCHAR |
255 |
The vendor of java that SymmetricDS is running as. |
|||
JDBC_VERSION |
VARCHAR |
255 |
The verision of the JDBC driver that is being used. |
|||
SYMMETRIC_VERSION |
VARCHAR |
50 |
The version of SymmetricDS running at this node. |
|||
TIMEZONE_OFFSET |
VARCHAR |
6 |
The time zone offset in RFC822 format at the time of the last heartbeat. |
|||
HEARTBEAT_TIME |
TIMESTAMP |
The last timestamp when the node sent a heartbeat, which is attempted every ten minutes by default. |
||||
LAST_RESTART_TIME |
TIMESTAMP |
X |
Timestamp when this instance was last restarted. |
|||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
A.27. NODE_HOST_CHANNEL_STATS
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
A unique identifier for a node. |
|
HOST_NAME |
VARCHAR |
60 |
PK |
X |
The host name of a workstation or server. If more than one instance of SymmetricDS runs on the same server, then this value can be a 'server id' specified by -Druntime.symmetric.cluster.server.id |
|
CHANNEL_ID |
VARCHAR |
128 |
PK |
X |
The channel_id of the channel that data changes will flow through. |
|
START_TIME |
TIMESTAMP |
PK |
X |
The start time for the period which this row represents. |
||
END_TIME |
TIMESTAMP |
PK |
X |
The end time for the period which this row represents. |
||
DATA_ROUTED |
BIGINT |
0 |
Indicate the number of data rows that have been routed during this period. |
|||
DATA_UNROUTED |
BIGINT |
0 |
The amount of data that has not yet been routed at the time this stats row was recorded. |
|||
DATA_EVENT_INSERTED |
BIGINT |
0 |
Indicate the number of data rows that have been routed during this period. |
|||
DATA_EXTRACTED |
BIGINT |
0 |
The number of data rows that were extracted during this time period. |
|||
DATA_BYTES_EXTRACTED |
BIGINT |
0 |
The number of bytes that were extracted during this time period. |
|||
DATA_EXTRACTED_ERRORS |
BIGINT |
0 |
The number of errors that occurred during extraction during this time period. |
|||
DATA_BYTES_SENT |
BIGINT |
0 |
The number of bytes that were sent during this time period. |
|||
DATA_SENT |
BIGINT |
0 |
The number of rows that were sent during this time period. |
|||
DATA_SENT_ERRORS |
BIGINT |
0 |
The number of errors that occurred while sending during this time period. |
|||
DATA_LOADED |
BIGINT |
0 |
The number of rows that were loaded during this time period. |
|||
DATA_BYTES_LOADED |
BIGINT |
0 |
The number of bytes that were loaded during this time period. |
|||
DATA_LOADED_ERRORS |
BIGINT |
0 |
The number of errors that occurred while loading during this time period. |
|||
DATA_LOADED_OUTGOING |
BIGINT |
0 |
The number of rows that were acknowledged as loaded by another node during this time period. |
|||
DATA_BYTES_LOADED_OUTGOING |
BIGINT |
0 |
The number of bytes that were acknowledged as loaded by another node during this time period. |
|||
DATA_LOADED_OUTGOING_ERRORS |
BIGINT |
0 |
The number of errors that occurred while loading to another node during this time period. |
A.28. NODE_HOST_JOB_STATS
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
A unique identifier for a node. |
|
HOST_NAME |
VARCHAR |
60 |
PK |
X |
The host name of a workstation or server. If more than one instance of SymmetricDS runs on the same server, then this value can be a 'server id' specified by -Druntime.symmetric.cluster.server.id |
|
JOB_NAME |
VARCHAR |
50 |
PK |
X |
The name of the job. |
|
START_TIME |
TIMESTAMP |
PK |
X |
The start time for the period which this row represents. |
||
END_TIME |
TIMESTAMP |
PK |
X |
The end time for the period which this row represents. |
||
PROCESSED_COUNT |
BIGINT |
0 |
The number of items that were processed during the job run. |
|||
TARGET_NODE_ID |
VARCHAR |
50 |
The target node the job is working on. |
|||
TARGET_NODE_COUNT |
INTEGER |
0 |
The number of target nodes the job is working on. |
A.29. NODE_HOST_STATS
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK |
X |
A unique identifier for a node. |
|
HOST_NAME |
VARCHAR |
60 |
PK |
X |
The host name of a workstation or server. If more than one instance of SymmetricDS runs on the same server, then this value can be a 'server id' specified by -Druntime.symmetric.cluster.server.id |
|
START_TIME |
TIMESTAMP |
PK |
X |
The end time for the period which this row represents. |
||
END_TIME |
TIMESTAMP |
PK |
X |
|||
RESTARTED |
BIGINT |
0 |
X |
Indicate that a restart occurred during this period. |
||
NODES_PULLED |
BIGINT |
0 |
||||
TOTAL_NODES_PULL_TIME |
BIGINT |
0 |
||||
NODES_PUSHED |
BIGINT |
0 |
||||
TOTAL_NODES_PUSH_TIME |
BIGINT |
0 |
||||
NODES_REJECTED |
BIGINT |
0 |
||||
NODES_REGISTERED |
BIGINT |
0 |
||||
NODES_LOADED |
BIGINT |
0 |
||||
NODES_DISABLED |
BIGINT |
0 |
||||
PURGED_DATA_ROWS |
BIGINT |
0 |
||||
PURGED_DATA_EVENT_ROWS |
BIGINT |
0 |
||||
PURGED_BATCH_OUTGOING_ROWS |
BIGINT |
0 |
||||
PURGED_BATCH_INCOMING_ROWS |
BIGINT |
0 |
||||
TRIGGERS_CREATED_COUNT |
BIGINT |
|||||
TRIGGERS_REBUILT_COUNT |
BIGINT |
|||||
TRIGGERS_REMOVED_COUNT |
BIGINT |
A.30. NODE_IDENTITY
After registration, this table will have one row representing the identity of the node. For a root node, the row is entered by the user.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK FK |
X |
Unique identifier for a node. |
A.31. NODE_SECURITY
Security features like node passwords and open registration flag are stored in the node_security table.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_ID |
VARCHAR |
50 |
PK FK |
X |
Unique identifier for a node. |
|
NODE_PASSWORD |
VARCHAR |
50 |
X |
The password used by the node to prove its identity during synchronization. |
||
REGISTRATION_ENABLED |
TINYINT |
1 |
0 |
Indicates whether registration is open for this node. Re-registration may be forced for a node if this is set back to '1' in a parent database for the node_id that should be re-registred. |
||
REGISTRATION_TIME |
TIMESTAMP |
The timestamp when this node was last registered. |
||||
INITIAL_LOAD_ENABLED |
TINYINT |
1 |
0 |
Indicates whether an initial load will be sent to this node. |
||
INITIAL_LOAD_TIME |
TIMESTAMP |
The timestamp when an initial load was started for this node. |
||||
INITIAL_LOAD_ID |
BIGINT |
A reference to the load_id in outgoing_batch for the last load that occurred. |
||||
INITIAL_LOAD_CREATE_BY |
VARCHAR |
255 |
The user that created the initial load. A null value means that the system created the batch. |
|||
REV_INITIAL_LOAD_ENABLED |
TINYINT |
1 |
0 |
Indicates that this node should send a reverse initial load. |
||
REV_INITIAL_LOAD_TIME |
TIMESTAMP |
The timestamp when this node last sent an initial load. |
||||
REV_INITIAL_LOAD_ID |
BIGINT |
A reference to the load_id in outgoing_batch for the last reverse load that occurred. |
||||
REV_INITIAL_LOAD_CREATE_BY |
VARCHAR |
255 |
The user that created the reverse initial load. A null value means that the system created the batch. |
|||
CREATED_AT_NODE_ID |
VARCHAR |
50 |
The node_id of the node where this node was created. This is typically filled automatically with the node_id found in node_identity where registration was opened for the node. |
A.32. MONITOR
Defines monitors that will run periodically to look for problems in the system.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
MONITOR_ID |
VARCHAR |
128 |
PK |
X |
Unique identifier for a monitor. |
|
NODE_GROUP_ID |
VARCHAR |
50 |
ALL |
X |
Target a specific node group to run this monitor. Target all groups, use a value of 'ALL'. |
|
EXTERNAL_ID |
VARCHAR |
255 |
ALL |
X |
Target a specific node by its external ID to run this monitor. Target all nodes, use a value of 'ALL'. |
|
TYPE |
VARCHAR |
50 |
X |
Monitor type to execute. Built-in types are cpu, disk, memory, batchError, batchUnsent, dataGap, dataUnrouted, and log. |
||
EXPRESSION |
LONGVARCHAR |
An expression used by the monitor to set options specific to the monitor type. |
||||
THRESHOLD |
BIGINT |
0 |
X |
The minimum value returned when the monitor runs that will cause a monitor event to be recorded. |
||
RUN_PERIOD |
INTEGER |
0 |
X |
Run this monitor periodically every number of seconds. |
||
RUN_COUNT |
INTEGER |
0 |
X |
Average the value across a number of runs before checking threshold. |
||
SEVERITY_LEVEL |
INTEGER |
0 |
X |
|||
ENABLED |
TINYINT |
1 |
0 |
X |
Whether or not this monitor is enabled for execution. |
|
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.33. MONITOR_EVENT
Records an event of when a system problem occurred.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
MONITOR_ID |
VARCHAR |
128 |
PK |
X |
Unique identifier for a monitor that caused the event. |
|
NODE_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for the node that created the event. |
|
EVENT_TIME |
TIMESTAMP |
PK |
X |
Timestamp when the event was created. |
||
HOST_NAME |
VARCHAR |
60 |
Host name of the node that created the event. |
|||
TYPE |
VARCHAR |
50 |
X |
Monitor type that detected the value recorded. |
||
THRESHOLD |
BIGINT |
0 |
X |
Minimum value for the monitor to cause an event. |
||
EVENT_VALUE |
BIGINT |
0 |
X |
Actual value detected by the monitor. |
||
EVENT_COUNT |
INTEGER |
0 |
X |
Number of times this event has occurred and been updated. |
||
SEVERITY_LEVEL |
INTEGER |
0 |
X |
Severity level configured for the monitor. |
||
IS_RESOLVED |
TINYINT |
0 |
X |
Whether an event is resolved because its value dropped below the threshold. |
||
IS_NOTIFIED |
TINYINT |
0 |
X |
Whether a notification was run. |
||
DETAILS |
LONGVARCHAR |
JSON formatted details about the event |
||||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when the event was last updated. |
A.34. NOTIFICATION
Defines what notification to send when a monitor detects a problem in the system.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NOTIFICATION_ID |
VARCHAR |
128 |
PK |
X |
Unique identifier for a notification. |
|
NODE_GROUP_ID |
VARCHAR |
50 |
ALL |
X |
Target a specific node group to run this notification. To target all groups, use a value of 'ALL'. |
|
EXTERNAL_ID |
VARCHAR |
255 |
ALL |
X |
Target a specific node by its external ID to run this notification. To target all nodes, use a value of 'ALL'. |
|
SEVERITY_LEVEL |
INTEGER |
0 |
X |
Look for monitor events using this severity level or above. To match all severity levels, use a value of 0. |
||
TYPE |
VARCHAR |
50 |
X |
Notification type that will send a message. Built-in types are mail and log. |
||
EXPRESSION |
LONGVARCHAR |
An expression used by the notification to set options specific to the notification type. |
||||
ENABLED |
TINYINT |
1 |
0 |
X |
Whether or not this notication is enabled. |
|
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.35. OUTGOING_BATCH
Used for tracking the sending a collection of data to a node in the system. A new outgoing_batch is created and given a status of 'NE'. After sending the outgoing_batch to its target node, the status becomes 'SE'. The node responds with either a success status of 'OK' or an error status of 'ER'. An error while sending to the node also results in an error status of 'ER' regardless of whether the node sends that acknowledgement.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
BATCH_ID |
BIGINT |
PK |
X |
A unique id for the batch. |
||
NODE_ID |
VARCHAR |
50 |
PK |
X |
The node that this batch is targeted at. |
|
CHANNEL_ID |
VARCHAR |
128 |
The channel that this batch is part of. |
|||
STATUS |
CHAR |
2 |
The current status of a batch can be routing (RT), requested to be extracted in the background (RQ), newly created and ready for replication (NE), being queried from the database (QY), sent to a Node (SE), ready to be loaded (LD) and acknowledged as successful (OK), ignored (IG) or in error (ER). |
|||
ERROR_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that this batch was in error during the last synchornization attempt. |
||
SQL_STATE |
VARCHAR |
10 |
For a status of error (ER), this is the XOPEN or SQL 99 SQL State. |
|||
SQL_CODE |
INTEGER |
0 |
X |
For a status of error (ER), this is the error code from the database that is specific to the vendor. |
||
SQL_MESSAGE |
LONGVARCHAR |
For a status of error (ER), this is the error message that describes the error. |
||||
LAST_UPDATE_HOSTNAME |
VARCHAR |
255 |
The host name of the process that last did work on this batch. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a process last updated this entry. |
||||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
SUMMARY |
VARCHAR |
255 |
A high level summary of what is included in a batch, often a list of table names. |
|||
IGNORE_COUNT |
INTEGER |
0 |
X |
The number of times a batch was ignored. |
||
BYTE_COUNT |
BIGINT |
0 |
X |
The number of bytes that were sent as part of this batch. |
||
LOAD_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that this batch is part of an initial load. |
||
EXTRACT_COUNT |
INTEGER |
0 |
X |
The number of times this an attempt to extract this batch occurred. |
||
SENT_COUNT |
INTEGER |
0 |
X |
The number of times this batch was sent. A batch can be sent multiple times if an ACK is not received. |
||
LOAD_COUNT |
INTEGER |
0 |
X |
The number of times an attempt to load this batch occurred. |
||
RELOAD_ROW_COUNT |
INTEGER |
0 |
X |
The number of reloads in the batch, which include rows from any extract transforms. |
||
OTHER_ROW_COUNT |
INTEGER |
0 |
X |
The number of SQL, BSH, and DDL events in the batch, which include rows from any extract transforms. |
||
DATA_ROW_COUNT |
INTEGER |
0 |
X |
The total number of rows in the batch, which include rows from any extract transforms. |
||
EXTRACT_ROW_COUNT |
INTEGER |
0 |
X |
The total number of rows extracted from the capture log. |
||
LOAD_ROW_COUNT |
INTEGER |
0 |
X |
The total number of rows loaded into the database, which includes rows from any load transforms or filters. |
||
DATA_INSERT_ROW_COUNT |
INTEGER |
0 |
X |
The number of inserts in the batch, which include rows from any extract transforms. |
||
DATA_UPDATE_ROW_COUNT |
INTEGER |
0 |
X |
The number of updates in the batch, which include rows from any extract transforms. |
||
DATA_DELETE_ROW_COUNT |
INTEGER |
0 |
X |
The number of deletes in the batch, which include rows from any extract transforms. |
||
EXTRACT_INSERT_ROW_COUNT |
INTEGER |
0 |
X |
The number of inserts extracted from the capture log. |
||
EXTRACT_UPDATE_ROW_COUNT |
INTEGER |
0 |
X |
The number of updates extracted from the capture log. |
||
EXTRACT_DELETE_ROW_COUNT |
INTEGER |
0 |
X |
The number of deletes extracted from the capture log. |
||
LOAD_INSERT_ROW_COUNT |
INTEGER |
0 |
X |
The number of inserts loaded into the database, which includes rows from any load transforms or filters. |
||
LOAD_UPDATE_ROW_COUNT |
INTEGER |
0 |
X |
The number of updates loaded into the database, which includes rows from any load transforms or filters. |
||
LOAD_DELETE_ROW_COUNT |
INTEGER |
0 |
X |
The number of deletes loaded into the database, which includes rows from any load transforms or filters. |
||
NETWORK_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent transfering this batch across the network. |
||
FILTER_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent in filters processing data. |
||
LOAD_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent loading the data into the target database. |
||
ROUTER_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent creating this batch. |
||
EXTRACT_MILLIS |
INTEGER |
0 |
X |
The number of milliseconds spent extracting the data out of the source database. |
||
TRANSFORM_EXTRACT_MILLIS |
INTEGER |
0 |
X |
Not implemented. The number of milliseconds spent transforming the data on the extract side. |
||
TRANSFORM_LOAD_MILLIS |
INTEGER |
0 |
X |
Not implemented. The number of milliseconds spent transforming the data on the load side. |
||
LOAD_ID |
BIGINT |
An id that ties multiple batches together to identify them as being part of an initial load. |
||||
COMMON_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that the data in this batch is shared by other nodes (they will have the same batch_id). Shared batches will be extracted to a common location. |
||
FALLBACK_INSERT_COUNT |
INTEGER |
0 |
X |
The number of times an update was turned into an insert because the data was not already in the target database. |
||
FALLBACK_UPDATE_COUNT |
INTEGER |
0 |
X |
The number of times an insert was turned into an update because a data row already existed in the target database. |
||
IGNORE_ROW_COUNT |
INTEGER |
0 |
X |
The number of times a row was ignored. |
||
MISSING_DELETE_COUNT |
INTEGER |
0 |
X |
The number of times a delete did not affect the database because the row was already deleted. |
||
SKIP_COUNT |
INTEGER |
0 |
X |
The number of times a batch was sent and skipped because it had already been loaded according to incoming_batch. |
||
TOTAL_EXTRACT_MILLIS |
INTEGER |
0 |
X |
Not implemented. The total number of milliseconds spent processing a batch on the extract side. |
||
TOTAL_LOAD_MILLIS |
INTEGER |
0 |
X |
Not implemented. The total number of milliseconds spent processing a batch on the load side. |
||
EXTRACT_JOB_FLAG |
TINYINT |
1 |
0 |
A flag that indicates that this batch is going to be extracted by another job. |
||
EXTRACT_START_TIME |
TIMESTAMP |
The time the batch started extracting from the source. |
||||
TRANSFER_START_TIME |
TIMESTAMP |
The time the batch started transfering across the network. |
||||
LOAD_START_TIME |
TIMESTAMP |
The time the batch started loading into the target. |
||||
FAILED_DATA_ID |
BIGINT |
0 |
X |
For a status of error (ER), this is the data_id that was being processed when the batch failed. |
||
FAILED_LINE_NUMBER |
BIGINT |
0 |
X |
The current line number in the CSV for this batch that failed. |
||
CREATE_BY |
VARCHAR |
255 |
The user that created the batch. A null value means that the system created the batch. |
A.36. PARAMETER
Provides a way to manage most SymmetricDS settings in the database.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
EXTERNAL_ID |
VARCHAR |
255 |
PK |
X |
Target the parameter at a specific external id. To target all nodes, use the value of 'ALL.' |
|
NODE_GROUP_ID |
VARCHAR |
50 |
PK |
X |
Target the parameter at a specific node group id. To target all groups, use the value of 'ALL.' |
|
PARAM_KEY |
VARCHAR |
80 |
PK |
X |
The name of the parameter. |
|
PARAM_VALUE |
LONGVARCHAR |
The value of the parameter. |
||||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
A.37. REGISTRATION_REDIRECT
Provides a way for a centralized registration server to redirect registering nodes to their prospective parent node in a multi-tiered deployment.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
REGISTRANT_EXTERNAL_ID |
VARCHAR |
255 |
PK |
X |
Maps the external id of a registration request to a different parent node. |
|
REGISTRATION_NODE_ID |
VARCHAR |
50 |
X |
The node_id of the node that a registration request should be redirected to. |
A.38. REGISTRATION_REQUEST
Audits when a node registers or attempts to register.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
NODE_GROUP_ID |
VARCHAR |
50 |
PK |
X |
The node group that this node belongs to, such as 'store'. |
|
EXTERNAL_ID |
VARCHAR |
255 |
PK |
X |
A domain-specific identifier for context within the local system. For example, the retail store number. |
|
STATUS |
CHAR |
2 |
X |
The current status of the registration attempt. Valid statuses are NR (not registered), IG (ignored), OK (sucessful) |
||
HOST_NAME |
VARCHAR |
60 |
X |
The host name of a workstation or server. If more than one instance of SymmetricDS runs on the same server, then this value can be a 'server id' specified by -Druntime.symmetric.cluster.server.id |
||
IP_ADDRESS |
VARCHAR |
50 |
X |
The ip address for the host. |
||
ATTEMPT_COUNT |
INTEGER |
0 |
The number of registration attempts. |
|||
REGISTERED_NODE_ID |
VARCHAR |
50 |
A unique identifier for a node. |
|||
ERROR_MESSAGE |
LONGVARCHAR |
Record any errors or warnings that occurred when attempting to register. |
||||
CREATE_TIME |
TIMESTAMP |
PK |
X |
Timestamp when this entry was created. |
||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
A.39. ROUTER
Configure a type of router from one node group to another. Note that routers are mapped to triggers through trigger_routers.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
ROUTER_ID |
VARCHAR |
50 |
PK |
X |
Unique description of a specific router |
|
TARGET_CATALOG_NAME |
VARCHAR |
255 |
Optional name of catalog where a target table is located. If this field is unspecified, the catalog will be either the default catalog at the target node or the source_catalog_name from the trigger, depending on how use_source_catalog_schema is set on the router. Variables are substituted for $(sourceNodeId), $(sourceExternalId), $(sourceNodeGroupId), $(targetNodeId), $(targetExternalId), $(targetNodeGroupId), and $(none). |
|||
TARGET_SCHEMA_NAME |
VARCHAR |
255 |
Optional name of schema where a target table is located. If this field is unspecified, the schema will be either the default schema at the target node or the source_schema_name from the trigger, depending on how use_source_catalog_schema is set on the router. Variables are substituted for $(sourceNodeId), $(sourceExternalId), $(sourceNodeGroupId), $(targetNodeId), $(targetExternalId), $(targetNodeGroupId), and $(none). |
|||
TARGET_TABLE_NAME |
VARCHAR |
255 |
Optional name for a target table. Only use this if the target table name is different than the source. |
|||
SOURCE_NODE_GROUP_ID |
VARCHAR |
50 |
FK |
X |
Routers with this node_group_id will install triggers that are mapped to this router. |
|
TARGET_NODE_GROUP_ID |
VARCHAR |
50 |
FK |
X |
The node_group_id for nodes to route data to. Note that routing can be further narrowed down by the configured router_type and router_expression. |
|
ROUTER_TYPE |
VARCHAR |
50 |
The name of a specific type of router. Out of the box routers are 'default','column','bsh', 'subselect' and 'audit.' Custom routers can be configured as extension points. |
|||
ROUTER_EXPRESSION |
LONGVARCHAR |
An expression that is specific to the type of router that is configured in router_type. See the documentation for each router for more details. |
||||
SYNC_ON_UPDATE |
TINYINT |
1 |
1 |
X |
Flag that indicates that this router should route updates. |
|
SYNC_ON_INSERT |
TINYINT |
1 |
1 |
X |
Flag that indicates that this router should route inserts. |
|
SYNC_ON_DELETE |
TINYINT |
1 |
1 |
X |
Flag that indicates that this router should route deletes. |
|
USE_SOURCE_CATALOG_SCHEMA |
TINYINT |
1 |
1 |
X |
Whether or not to assume that the target catalog/schema name should be the same as the source catalog/schema name. The target catalog or schema name will still override if not blank. |
|
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
|||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for router |
A.40. SEQUENCE
A table that supports application level sequence numbering.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
SEQUENCE_NAME |
VARCHAR |
50 |
PK |
X |
Unique identifier of a specific sequence. |
|
CURRENT_VALUE |
BIGINT |
0 |
X |
The current value of the sequence. |
||
INCREMENT_BY |
INTEGER |
1 |
X |
Specify the interval between sequence numbers. This integer value can be any positive or negative integer, but it cannot be 0. |
||
MIN_VALUE |
BIGINT |
1 |
X |
Specify the minimum value of the sequence. |
||
MAX_VALUE |
BIGINT |
9999999999 |
X |
Specify the maximum value the sequence can generate. |
||
CYCLE_FLAG |
TINYINT |
1 |
0 |
Indicate whether the sequence should automatically cycle once a boundary is hit. |
||
CACHE_SIZE |
INTEGER |
0 |
X |
Specify the number of sequence numbers to acquire and cache when one is requested. |
||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
A.41. TABLE_RELOAD_REQUEST
This table acts as a means to queue up a reload of a specific table. Either the target or the source node may insert into this table to queue up a load. If the target node inserts into the table, then the row will be synchronized to the source node and the reload events will be queued up during routing.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TARGET_NODE_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for the node to receive the table reload. |
|
SOURCE_NODE_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for the node that will be the source of the table reload. |
|
TRIGGER_ID |
VARCHAR |
128 |
PK |
X |
Unique identifier for a trigger associated with the table reload. Note the trigger must be linked to the router. |
|
ROUTER_ID |
VARCHAR |
50 |
PK |
X |
Unique description of the router associated with the table reload. Note the router must be linked to the trigger. |
|
CREATE_TIME |
TIMESTAMP |
PK |
X |
Timestamp when this entry was created. |
||
CREATE_TABLE |
TINYINT |
1 |
0 |
X |
Flag that indicates that a table create script will be sent as part of the reload |
|
DELETE_FIRST |
TINYINT |
1 |
0 |
X |
Flag that indicates that the table will be deleted before loading. |
|
RELOAD_SELECT |
LONGVARCHAR |
Overrides the initial load select. |
||||
BEFORE_CUSTOM_SQL |
LONGVARCHAR |
SQL Statement to run prior to loading the table |
||||
RELOAD_TIME |
TIMESTAMP |
The timestamp when the reload was started for this node. |
||||
LOAD_ID |
BIGINT |
An id that ties multiple batches together to identify them as being part of a load. The load id is generated by the system. |
||||
PROCESSED |
TINYINT |
1 |
0 |
X |
Flag that indicates that this load was processed into batches. |
|
CHANNEL_ID |
VARCHAR |
128 |
The channel that was specified as a source of the load. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user or the system last updated this entry. |
A.42. TABLE_RELOAD_STATUS
This table holds the stats for a specific load id associated in table reload request.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
LOAD_ID |
BIGINT |
PK |
X |
An id that ties multiple batches together to identify them as being part of a load. The load id is generated by the system. |
||
SOURCE_NODE_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier for the node that will be the source of the table reload. |
|
TARGET_NODE_ID |
VARCHAR |
50 |
X |
Unique identifier for the node to receive the table reload. |
||
START_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
END_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
COMPLETED |
TINYINT |
1 |
0 |
X |
Flag that indicates that this load was completed. |
|
CANCELLED |
TINYINT |
1 |
0 |
X |
Flag that indicates that this load was cancelled. When cancelled it will also be marked completed |
|
START_DATA_BATCH_ID |
BIGINT |
A load can be split across multiple batches. This is the first of N batches the load will be split across. |
||||
END_DATA_BATCH_ID |
BIGINT |
This is the last of N batches the load will be split across. |
||||
SETUP_BATCH_COUNT |
BIGINT |
0 |
X |
The number of batches that have been loaded for this load id. The same count will exists for all rows with a matching load id. |
||
DATA_BATCH_COUNT |
BIGINT |
0 |
X |
The number of batches that have been loaded for this load id. The same count will exists for all rows with a matching load id. |
||
FINALIZE_BATCH_COUNT |
BIGINT |
0 |
X |
The number of batches that have been loaded for this load id. The same count will exists for all rows with a matching load id. |
||
SETUP_BATCH_LOADED |
BIGINT |
0 |
X |
The number of batches that have been loaded for this load id. The same count will exists for all rows with a matching load id. |
||
DATA_BATCH_LOADED |
BIGINT |
0 |
X |
The number of batches that have been loaded for this load id. The same count will exists for all rows with a matching load id. |
||
FINALIZE_BATCH_LOADED |
BIGINT |
0 |
X |
The number of batches that have been loaded for this load id. The same count will exists for all rows with a matching load id. |
||
TABLE_COUNT |
BIGINT |
0 |
X |
The number of tables associated with this load, which is generated by the system. |
||
ROWS_LOADED |
BIGINT |
0 |
X |
The number of rows associated with this load, which is generated by the system. |
||
ROWS_COUNT |
BIGINT |
0 |
X |
The number of rows associated with this load, which is generated by the system. |
||
ERROR_FLAG |
TINYINT |
1 |
0 |
X |
A flag that indicates that this request is in error during the last attempt to process. |
|
SQL_STATE |
VARCHAR |
10 |
For a request in error, this is the XOPEN or SQL 99 SQL State. |
|||
SQL_CODE |
INTEGER |
0 |
X |
For a request in error, this is the error code from the database that is specific to the vendor. |
||
SQL_MESSAGE |
LONGVARCHAR |
For a request in error, this is the error message that describes the error. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user or the system last updated this entry. |
A.43. TRANSFORM_TABLE
Defines a data loader transformation which can be used to map arbitrary tables and columns to other tables and columns.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRANSFORM_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier of a specific transform. |
|
SOURCE_NODE_GROUP_ID |
VARCHAR |
50 |
PK FK |
X |
The node group where data changes are captured. |
|
TARGET_NODE_GROUP_ID |
VARCHAR |
50 |
PK FK |
X |
The node group where data changes will be sent. |
|
TRANSFORM_POINT |
VARCHAR |
10 |
X |
The point during the transport of captured data that a transform happens. Support values are EXTRACT or LOAD. |
||
SOURCE_CATALOG_NAME |
VARCHAR |
255 |
Optional name for the catalog the configured table is in. |
|||
SOURCE_SCHEMA_NAME |
VARCHAR |
255 |
Optional name for the schema a configured table is in. |
|||
SOURCE_TABLE_NAME |
VARCHAR |
255 |
X |
The name of the source table that will be transformed. |
||
TARGET_CATALOG_NAME |
VARCHAR |
255 |
Optional name for the catalog a target table is in. Only use this if the target table is not in the default catalog. |
|||
TARGET_SCHEMA_NAME |
VARCHAR |
255 |
Optional name of the schema a target table is in. Only use this if the target table is not in the default schema. |
|||
TARGET_TABLE_NAME |
VARCHAR |
255 |
The name of the target table. |
|||
UPDATE_FIRST |
TINYINT |
1 |
0 |
If true, the target actions are attempted as updates first, regardless of whether the source operation was an insert or an update. |
||
UPDATE_ACTION |
VARCHAR |
255 |
UPDATE_COL |
X |
An action to take upon update of a row. Possible values are: DEL_ROW, UPD_ROW, INS_ROW or NONE. |
|
DELETE_ACTION |
VARCHAR |
10 |
X |
An action to take upon delete of a row. Possible values are: DEL_ROW, UPD_ROW, or NONE. |
||
TRANSFORM_ORDER |
INTEGER |
1 |
X |
Specifies the order in which to apply transforms if more than one target operation occurs. |
||
COLUMN_POLICY |
VARCHAR |
10 |
SPECIFIED |
X |
Specifies whether all columns need to be specified or whether they are implied. Possible values are SPECIFIED or IMPLIED. |
|
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
||||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for transform_table |
A.44. TRANSFORM_COLUMN
Defines the column mappings and optional data transformation for a data loader transformation.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRANSFORM_ID |
VARCHAR |
50 |
PK |
X |
Unique identifier of a specific transform. |
|
INCLUDE_ON |
CHAR |
1 |
* |
PK |
X |
Indicates whether this mapping is included during an insert (I), update (U), delete (D) operation at the target based on the dml type at the source. A value of * represents the fact that you want to map the column for all operations. |
TARGET_COLUMN_NAME |
VARCHAR |
128 |
PK |
X |
Name of the target column. |
|
SOURCE_COLUMN_NAME |
VARCHAR |
128 |
Name of the source column. |
|||
PK |
TINYINT |
1 |
0 |
Indicates whether this mapping defines a primary key to be used to identify the target row. At least one row must be defined as a pk for each transform_id. |
||
TRANSFORM_TYPE |
VARCHAR |
50 |
copy |
The name of a specific type of transform. Custom transformers can be configured as extension points. |
||
TRANSFORM_EXPRESSION |
LONGVARCHAR |
An expression that is specific to the type of transform that is configured in transform_type. See the documentation for each transformer for more details. |
||||
TRANSFORM_ORDER |
INTEGER |
1 |
X |
Specifies the order in which to apply transforms if more than one target operation occurs. |
||
CREATE_TIME |
TIMESTAMP |
Timestamp when this entry was created. |
||||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
Timestamp when a user last updated this entry. |
||||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for transform_column |
A.45. TRIGGER
Configures database triggers that capture changes in the database. Configuration of which triggers are generated for which tables is stored here. Triggers are created in a node’s database if the source_node_group_id of a router is mapped to a row in this table.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRIGGER_ID |
VARCHAR |
128 |
PK |
X |
Unique identifier for a trigger. |
|
SOURCE_CATALOG_NAME |
VARCHAR |
255 |
Optional name for the catalog the configured table is in. If the name includes * then a wildcard match on the table name will be attempted. Wildcard names can include a list of names that are comma separated. The ! symbol may be used to indicate a NOT match condition. |
|||
SOURCE_SCHEMA_NAME |
VARCHAR |
255 |
Optional name for the schema a configured table is in. If the name includes * then a wildcard match on the table name will be attempted. Wildcard names can include a list of names that are comma separated. The ! symbol may be used to indicate a NOT match condition. |
|||
SOURCE_TABLE_NAME |
VARCHAR |
255 |
X |
The name of the source table that will have a trigger installed to watch for data changes. If the name includes * then a wildcard match on the table name will be attempted. Wildcard names can include a list of names that are comma separated. The ! symbol may be used to indicate a NOT match condition. |
||
CHANNEL_ID |
VARCHAR |
128 |
FK |
X |
The channel_id of the channel that data changes will flow through. |
|
RELOAD_CHANNEL_ID |
VARCHAR |
128 |
reload |
FK |
X |
The channel_id of the channel that will be used for reloads. |
SYNC_ON_UPDATE |
TINYINT |
1 |
1 |
X |
Whether or not to install an update trigger. |
|
SYNC_ON_INSERT |
TINYINT |
1 |
1 |
X |
Whether or not to install an insert trigger. |
|
SYNC_ON_DELETE |
TINYINT |
1 |
1 |
X |
Whether or not to install an delete trigger. |
|
SYNC_ON_INCOMING_BATCH |
TINYINT |
1 |
0 |
X |
Whether or not an incoming batch that loads data into this table should cause the triggers to capture data_events. Be careful turning this on, because an update loop is possible. |
|
NAME_FOR_UPDATE_TRIGGER |
VARCHAR |
255 |
Override the default generated name for the update trigger. |
|||
NAME_FOR_INSERT_TRIGGER |
VARCHAR |
255 |
Override the default generated name for the insert trigger. |
|||
NAME_FOR_DELETE_TRIGGER |
VARCHAR |
255 |
Override the default generated name for the delete trigger. |
|||
SYNC_ON_UPDATE_CONDITION |
LONGVARCHAR |
Specify a condition for the update trigger firing using an expression specific to the database. |
||||
SYNC_ON_INSERT_CONDITION |
LONGVARCHAR |
Specify a condition for the insert trigger firing using an expression specific to the database. |
||||
SYNC_ON_DELETE_CONDITION |
LONGVARCHAR |
Specify a condition for the delete trigger firing using an expression specific to the database. |
||||
CUSTOM_BEFORE_UPDATE_TEXT |
LONGVARCHAR |
Specify update trigger text to execute before the SymmetricDS trigger text runs. If you need to modify data, use custom_on_update_text instead, so data is captured in order. This field is not applicable for H2, HSQLDB 1.x or Apachy Derby. |
||||
CUSTOM_BEFORE_INSERT_TEXT |
LONGVARCHAR |
Specify insert trigger text to execute before the SymmetricDS trigger text runs. If you need to modify data, use custom_on_insert_text instead, so data is captured in order. This field is not applicable for H2, HSQLDB 1.x or Apachy Derby. |
||||
CUSTOM_BEFORE_DELETE_TEXT |
LONGVARCHAR |
Specify delete trigger text to execute brefore the SymmetricDS trigger text runs. If you need to modify data, use custom_on_delete_text instead, so data is captured in order. This field is not applicable for H2, HSQLDB 1.x or Apachy Derby. |
||||
CUSTOM_ON_UPDATE_TEXT |
LONGVARCHAR |
Specify update trigger text to execute after the SymmetricDS trigger text runs. This field is not applicable for H2, HSQLDB 1.x or Apachy Derby. |
||||
CUSTOM_ON_INSERT_TEXT |
LONGVARCHAR |
Specify insert trigger text to execute after the SymmetricDS trigger text runs. This field is not applicable for H2, HSQLDB 1.x or Apachy Derby. |
||||
CUSTOM_ON_DELETE_TEXT |
LONGVARCHAR |
Specify delete trigger text to execute after the SymmetricDS trigger text runs. This field is not applicable for H2, HSQLDB 1.x or Apachy Derby. |
||||
EXTERNAL_SELECT |
LONGVARCHAR |
Specify a SQL select statement that returns a single result. It will be used in the generated database trigger to populate the EXTERNAL_DATA field on the data table. |
||||
TX_ID_EXPRESSION |
LONGVARCHAR |
Override the default expression for the transaction identifier that groups the data changes that were committed together. |
||||
CHANNEL_EXPRESSION |
LONGVARCHAR |
An expression that will be used to capture the channel id in the trigger. This expression will only be used if the channel_id is set to 'dynamic.' |
||||
EXCLUDED_COLUMN_NAMES |
LONGVARCHAR |
Specify a comma-delimited list of columns that should not be synchronized from this table. Note that if a primary key is found in this list, it will be ignored. |
||||
INCLUDED_COLUMN_NAMES |
LONGVARCHAR |
Specify a comma-delimited list of columns that should only be synchronized from this table. Note that if a primary key is found in this list, it will be ignored. |
||||
SYNC_KEY_NAMES |
LONGVARCHAR |
Specify a comma-delimited list of columns that should be used as the key for synchronization operations. By default, if not specified, then the primary key of the table will be used. |
||||
USE_STREAM_LOBS |
TINYINT |
1 |
0 |
X |
Specifies whether to capture lob data as the trigger is firing or to stream lob columns from the source tables using callbacks during extraction. A value of 1 indicates to stream from the source via callback; a value of 0, lob data is captured by the trigger. |
|
USE_CAPTURE_LOBS |
TINYINT |
1 |
0 |
X |
Provides a hint as to whether this trigger will capture big lobs data. If set to 1 every effort will be made during data capture in trigger and during data selection for initial load to use lob facilities to extract and store data in the database. On Oracle, this may need to be set to 1 to get around 4k concatenation errors during data capture and during initial load. |
|
USE_CAPTURE_OLD_DATA |
TINYINT |
1 |
1 |
X |
Set this to 1 to capture old data. Old data is used for conflict resolution and it also is used to calculate which columns have changed. The software will only update changed columns when old data is captured. |
|
USE_HANDLE_KEY_UPDATES |
TINYINT |
1 |
1 |
X |
Deprecated. Allows handling of primary key updates (SQLServer dialect only) |
|
STREAM_ROW |
TINYINT |
1 |
0 |
X |
Captures only the primary key when the trigger fires and creates a reload event to pull the full row during extraction. |
|
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
|||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for trigger |
A.46. TRIGGER_HIST
A history of a table’s definition and the trigger used to capture data from the table. When a database trigger captures a data change, it references a trigger_hist entry so it is possible to know which columns the data represents. trigger_hist entries are made during the sync trigger process, which runs at each startup, each night in the syncTriggersJob, or any time the syncTriggers() JMX method is manually invoked. A new entry is made when a table definition or a trigger definition is changed, which causes a database trigger to be created or rebuilt.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRIGGER_HIST_ID |
INTEGER |
PK |
X |
Unique identifier for a trigger_hist entry |
||
TRIGGER_ID |
VARCHAR |
128 |
X |
Unique identifier for a trigger |
||
SOURCE_TABLE_NAME |
VARCHAR |
255 |
X |
The name of the source table that will have a trigger installed to watch for data changes. |
||
SOURCE_CATALOG_NAME |
VARCHAR |
255 |
The catalog name where the source table resides. |
|||
SOURCE_SCHEMA_NAME |
VARCHAR |
255 |
The schema name where the source table resides. |
|||
NAME_FOR_UPDATE_TRIGGER |
VARCHAR |
255 |
The name used when the insert trigger was created. |
|||
NAME_FOR_INSERT_TRIGGER |
VARCHAR |
255 |
The name used when the update trigger was created. |
|||
NAME_FOR_DELETE_TRIGGER |
VARCHAR |
255 |
The name used when the delete trigger was created. |
|||
TABLE_HASH |
BIGINT |
0 |
X |
A hash of the table definition, used to detect changes in the definition. |
||
TRIGGER_ROW_HASH |
BIGINT |
0 |
X |
A hash of the trigger definition. If changes are detected to the values that affect a trigger definition, then the trigger will be regenerated. |
||
TRIGGER_TEMPLATE_HASH |
BIGINT |
0 |
X |
A hash of the trigger text. If changes are detected to the values that affect a trigger text then the trigger will be regenerated. |
||
COLUMN_NAMES |
LONGVARCHAR |
X |
The column names defined on the table. The column names are stored in comma-separated values (CSV) format. |
|||
PK_COLUMN_NAMES |
LONGVARCHAR |
X |
The primary key column names defined on the table. The column names are stored in comma-separated values (CSV) format. |
|||
LAST_TRIGGER_BUILD_REASON |
CHAR |
1 |
X |
The following reasons for a change are possible: New trigger that has not been created before (N); Schema changes in the table were detected (S); Configuration changes in Trigger ©; Trigger was missing (T), Trigger template changed (E), Forced rebuild (F). |
||
ERROR_MESSAGE |
LONGVARCHAR |
Record any errors or warnings that occurred when attempting to build the trigger. |
||||
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
INACTIVE_TIME |
TIMESTAMP |
The date and time when a trigger was inactivated. |
A.47. TRIGGER_ROUTER
Map a trigger to a router.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
TRIGGER_ID |
VARCHAR |
128 |
PK FK |
X |
The id of a trigger. |
|
ROUTER_ID |
VARCHAR |
50 |
PK FK |
X |
The id of a router. |
|
ENABLED |
TINYINT |
1 |
1 |
X |
Indicates whether this trigger router is enabled or not. |
|
INITIAL_LOAD_ORDER |
INTEGER |
1 |
X |
Order sequence of this table when an initial load is sent to a node. If this value is the same for multiple tables, then SymmetricDS will attempt to order the tables according to FK constraints. If this value is set to a negative number, then the table will be excluded from an initial load. |
||
INITIAL_LOAD_SELECT |
LONGVARCHAR |
Optional expression that can be used to pare down the data selected from a table during the initial load process. |
||||
INITIAL_LOAD_DELETE_STMT |
LONGVARCHAR |
The expression that is used to delete data when an initial load occurs. If this field is empty, no delete will occur before the initial load. If this field is not empty, the text will be used as a sql statement and executed for the initial load delete. |
||||
PING_BACK_ENABLED |
TINYINT |
1 |
0 |
X |
When enabled, the node will route data that originated from a node back to that node. This attribute is only effective if sync_on_incoming_batch is set to 1. |
|
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
|||
DESCRIPTION |
LONGVARCHAR |
Optional notes and comments for trigger_router |
A.48. TRIGGER_ROUTER_GROUPLET
Deprecated in 3.9. This tables defines what grouplets are associated with what trigger routers. The existence of the grouplet for a trigger_router enables nodes associated with the grouplet and at the same time it disables the trigger router for all other nodes.
Name |
Type |
Size |
Default |
Keys |
Not Null |
Description |
GROUPLET_ID |
VARCHAR |
50 |
PK FK |
X |
Unique identifier for the grouplet. |
|
TRIGGER_ID |
VARCHAR |
128 |
PK FK |
X |
The id of a trigger. |
|
ROUTER_ID |
VARCHAR |
50 |
PK FK |
X |
The id of a router. |
|
APPLIES_WHEN |
CHAR |
1 |
PK |
X |
Indicates the side that a grouplet should be applied to. Use 'T' for target and 'S' for source and 'B' for both source and target. |
|
CREATE_TIME |
TIMESTAMP |
X |
Timestamp when this entry was created. |
|||
LAST_UPDATE_BY |
VARCHAR |
50 |
The user who last updated this entry. |
|||
LAST_UPDATE_TIME |
TIMESTAMP |
X |
Timestamp when a user last updated this entry. |
Appendix B: Parameter List
There are two kinds of parameters that can be used to configure the behavior of SymmetricDS: Startup Parameters and Runtime Parameters . Startup Parameters are required to be in a system property or a property file, while Runtime Parameters can also be found in the Parameter table from the database. Parameters are re-queried from their source at a configured interval and can also be refreshed on demand by using the JMX API.
The following table shows the source of parameters and the hierarchy of precedence.
Location | Required | Description |
---|---|---|
symmetric-default.properties |
Y |
Packaged inside symmetric-core jar file. This file has all the default settings along with descriptions. |
conf/symmetric.properties |
N |
Changes to this file in the conf directory of a standalone install apply to all engines in the JVM. |
symmetric-override.properties |
N |
Changes to this file, provided by the end user in the JVM’s classpath, apply to all engines in the JVM. |
engines/*.properties |
N |
Properties for a specific engine or node that is hosted in a standalone install. |
Java System Properties |
N |
Any SymmetricDS property can be passed in as a -D property to the runtime. It will take precedence over any properties file property. |
Parameter table |
N |
A table which contains SymmetricDS parameters. Parameters can be targeted at a specific node group and even at a specific external id. These settings will take precedence over all of the above. |
IParameterFilter |
N |
An extension point which allows parameters to be sourced from another location or customized. These settings will take precedence over all of the above. |
B.1. Startup Parameters
Startup parameters are read once from properties files and apply only during start up. The following properties are used:
- auto.config.database
-
If this is true, when symmetric starts up it will try to create the necessary tables.
Default: true
- auto.config.registration.svr.sql.script
-
Provide the path to a SQL script that can be run to do initial setup of a registration server. This script will only be run on a registration server if the node_identity cannot be found.
Default:
- auto.insert.registration.svr.if.not.found
-
If this is true, then node, group, security and identity rows will be inserted if the registration.url is blank and there is no configured node identity.
Default: true
- auto.sync.config.after.upgrade
-
If this is true, then check if configuration should be pulled from registration server after upgrading. If the config version in the database does not match the software version, it will pull config.
Default: true
- auto.update.node.values.from.properties
-
Update the node row in the database from the local properties during a heartbeat operation.
Default: true
- cache.table.time.ms
-
This is the amount of time table meta data will be cached before re-reading it from the database
Default: 3600000
- cluster.server.id
-
Set this if you want to give your server a unique name to be used to identify which server did what action. Typically useful when running in a clustered environment. This is currently used by the ClusterService when locking for a node.
Default:
- console.explore.show
-
Display the explore tab.
Default: true
- db.connection.properties
-
These are settings that will be passed to the JDBC driver as connection properties. Suggested settings by database are as follows: Oracle db.connection.properties=oracle.net.CONNECT_TIMEOUT=300000;oracle.jdbc.ReadTimeout=300000;SetBigStringTryClob=true
Default:
- db.delimited.identifier.mode
-
Determines whether delimited identifiers are used or normal SQL92 identifiers (which may only contain alphanumerical characters and the underscore, must start with a letter and cannot be a reserved keyword).
Default: true
- db.driver
-
Specify your database driver
Default: org.h2.Driver
- db.init.sql
-
Specify a SQL statement that will be run when a database connection is created
Default:
- db.jdbc.bulk.execute.batch.override
-
This override any database specific bulk loader if the channel data loader algorithm is set to bulk and a specific bulk loader is available. For example is a PostgreSQL database is setup for bulk loading and this parameter is true the JdbcBatchBulkDatabaseWriter will be used instead of the PostgreSQL bulk loader. If a dialect does not have a designated bulk loader and the channel is set for bulk loading this will be used automatically even if the the parameter is false. Essentially the parameter only controls "overriding" a dialect specific bulk loader.
Default: false
- db.jdbc.bulk.execute.batch.size
-
This is the default number of rows that will be sent to the database as a batch when SymmetricDS uses the JDBC batch API for bulk data load types. Designed for loads that are setup with a channel data loader algorithm of batch.
Default: 25
- db.jdbc.execute.batch.size
-
This is the default number of rows that will be sent to the database as a batch when SymmetricDS uses the JDBC batch API. Currently, only routing uses JDBC batch. The data loader does not.
Default: 100
- db.jdbc.isolation.level
-
Override the JDBC isolation level. The isolation level is detected by platform and automatically set, but it can be overridden here. Most platforms need at least read committed level to prevent phantom reads. (0=none, 1=read uncommitted, 2=read committed, 4=repeatable read, 8=serializable)
Default:
- db.jdbc.streaming.results.fetch.size
-
This is the default fetch size for streaming result sets.
Default: 100
- db.jndi.name
-
Name of a JNDI data source to use instead of using SymmetricDS’s connection pool. When this is set the db.url is ignored. Using a JNDI data source is relevant when deploying to an application server.
Default:
- db.metadata.ignore.case
-
Indicates that case should be ignored when looking up references to tables using the database’s metadata api.
Default: true
- db.native.extractor
-
Name of class that can extract native JDBC objects and interact directly with the driver. Spring uses this to perform operations specific to database, like handling LOBs on Oracle.
Default: org.springframework.jdbc.support.nativejdbc.CommonsDbcpNativeJdbcExtractor
- db.password
-
Specify your database password
Default:
- db.pool.initial.size
-
The initial size of the connection pool
Default: 5
- db.pool.max.active
-
The maximum number of connections that will be allocated in the pool The http.concurrent.workers.max value should be half or less than half of this value.
Default: 40
- db.pool.max.idle
-
The maximum number of connections that can remain idle in the pool, without extra ones being released
Default: 20
- db.pool.max.wait.millis
-
This is how long a request for a connection from the datasource will wait before giving up.
Default: 30000
- db.pool.min.evictable.idle.millis
-
This is how long a connection can be idle before it will be evicted.
Default: 120000
- db.pool.min.idle
-
The minimum number of connections that can remain idle in the pool, without extra ones being created
Default: 5
- db.read.strings.as.bytes
-
If set to true forces database columns that contain character data to be read as bytes (bypassing JDBC driver character encoding) so the raw values be encoded using the system default character set (usually UTF8). This property was added to bypass MySQL character encoding so the raw data can be converted to utf8 directly.
Default: false
- db.sql.query.timeout.seconds
-
Most symmetric queries have a timeout associated with them. This is the default.
Default: 300
- db.url
-
Specify your database URL
Default: jdbc:h2:mem:setme
- db.user
-
Specify your database user
Default: please set me
- db.validation.query
-
This is the query to validate the database connection in Connection Pool. It is database specific. The following are example statements for different databases. MySQL db.validation.query=select 1 Oracle db.validation.query=select 1 from dual DB2 db.validation.query=select max(1) from syscat.datatypes
Default:
- db2.capture.transaction.id
-
Turn on the capture of transaction id for DB2 systems that support it.
Default: false
- db2.zseries.version
-
Use to map the version string a zseries jdbc driver returns to the 'zseries' dialect
Default: DSN08015
- engine.name
-
This is the engine name. This should be set if you have more than one engine running in the same JVM. It is used to name the JMX management bean. Please do not use underscores in this name.
Default: SymmetricDS
- external.id
-
The external id for this SymmetricDS node. The external id is usually used as all or part of the node id.
Default: please set me
- group.id
-
The node group id that this node belongs to
Default: please set me
- hsqldb.initialize.db
-
If using the HsqlDbDialect, this property indicates whether Symmetric should setup the embedded database properties or if an external application will be doing so.
Default: true
- http.concurrent.reservation.timeout.ms
-
This is the amount of time the host will keep a concurrent connection reservation after it has been attained by a client node while waiting for the subsequent reconnect to push.
Default: 20000
- http.session.expire.seconds
-
How long in seconds an authenticated node can keep a session before it expires and the node must be authenticated again. A value of zero or less means never expire.
Default: 14400
- http.session.max.count
-
Maximum number of authenticated sessions to keep in memory before removing the oldest. Normally, this won’t be reached unless something is mis-configured, like a cluster that is not using a sticky session load balancer.
Default: 15000
- http.use.header.security.token
-
When authenticating to a server node, send the security token in the request header instead of using a URL parameter. Using the request header avoids accidentally logging the security token. The transport uses the remote node’s version to determine if it should use header or parameter. Set this to false to force usage of the older parameter style of authentication.
Default: true
- http.use.session.auth
-
When authenticating a client node, create a session on the server and give a session ID to the client that can be sent with subsequent requests. This avoids authenticating every request and limits how often the security token is sent.
Default: true
- instance.id.location
-
null
Default: conf/instance.uuid
- jmx.line.feed
-
Specify the type of line feed to use in JMX console methods. Possible values are: text or html.
Default: text
- job.log.miner.period.time.ms
-
How often to run Log Miner in milliseconds
Default: 10000
- job.random.max.start.time.ms
-
When starting jobs, symmetric attempts to randomize the start time to spread out load. This is the maximum wait period before starting a job.
Default: 10000
- mysql.bulk.load.local
-
Whether or not files are local to client only, so we must send the file to MySQL to load. If client is running on same server as MySQL, then this can be set to false to have MySQL read file directly.
Default: true
- mysql.bulk.load.max.bytes.before.flush
-
Maximum number of bytes to write to file before running with 'LOAD DATA INFILE' to MySQL
Default: 1000000000
- mysql.bulk.load.max.rows.before.flush
-
Maximum number of rows to write to file before running with 'LOAD DATA INFILE' to MySQL
Default: 100000
- oracle.bulk.load.ezconnect
-
For bulk loading with SQL*Loader, specify how to connect to the database with an ezconnect name. If blank, the connection is determined using the db.url parameter.
Default:
- oracle.bulk.load.sqlldr.cmd
-
Path to the sqlldr executable for running Oracle SQL*Loader. If blank, it will check for ORACLE_HOME environment variable and find sqlldr there. Otherwise, it will run "sqlldr" and expect the operating system to find it.
Default:
- oracle.bulk.load.sqlldr.infile.charset
-
For bulk loading with SQL*Loader, specify input file character set when needed to support characters other than US-ASCII characters. For example: oracle.bulk.load.sqlldr.infile.charset=UTF8 LENGTH SEMANTICS CHAR This will generate the following string in the control file after the LOAD DATA line: CHARACTERSET UTF8 LENGTH SEMANTICS CHAR If blank, this line will not show up.
Default:
- oracle.bulk.load.sqlldr.options
-
Options passed to Oracle SQL*Loader.
Default: silent=(header,discards) direct=false readsize=4096000 bindsize=4096000 rows=2000 errors=0
- oracle.template.precision.text.minimum
-
Use the text minimum format model for capturing changes to number data types. When enabled, numbers are converted with to_char('TM'), which can capture up to 40 digits. When disabled, numbers are converted with cast to number(*,38), which can capture up to 38 digits.
Default: false
- postgres.security.definer
-
Postgres triggers default to "security invoker" with permissions based on caller. Enable this parameter to use "security definer" with permissions based on owner.
Default: false
- registration.url
-
This is the URL this node will use to register and pull it’s configuration. If this is the root server, then this may remain blank and the configuration should be inserted directly into the database
Default: please set me
- routing.gaps.use.transaction.view
-
Find the earliest starting time of any transaction in the database, and expire any data gaps that were created before that time. When enabled, it can expire gaps sooner in some cases (before the routing.stale.dataid.gap.time.ms timeout), and in other cases, it can prevent expiring gaps that reach the timeout when there are still open transactions.
Default: false
- security.service.class.name
-
The class name for the Security Service to use for encrypting and decrypting database passwords. Leave blank for default service.
Default:
- staging.dir
-
This is the location the staging directory will be put. If it isn’t set the staging directory will be located according to java.io.tmpdir.
Default:
- staging.low.space.threshold.megabytes
-
Staging directory low disk space threshold in megabytes. When free space goes below the threshold, requests to create staging files will receive an exception. Data loading and extracting will stop and log an error until disk space becomes available. To disable free space checks, set to zero or negative.
Default: 100
- staging.manager.class
-
Staging Manager
Default: com.jumpmind.symmetric.stage.EnhancedStagingManager
- start.heartbeat.job
-
Whether the heartbeat job is enabled for this node. The heartbeat job simply inserts an event to update the heartbeat_time column on the node_host table for the current node.
Default: true
- start.initial.load.extract.job
-
Whether the background initial load extractor job is started.
Default: true
- start.log.miner.job
-
Log Miner job to find changes from a database archive log
Default: false
- start.monitor.job
-
Whether the monitor job is started.
Default: true
- start.pull.job
-
Whether the pull job is enabled for this node.
Default: true
- start.purge.incoming.job
-
Whether the incoming purge job is enabled for this node.
Default: true
- start.purge.outgoing.job
-
Whether the outgoing purge job is enabled for this node.
Default: true
- start.push.job
-
Whether the push job is enabled for this node.
Default: true
- start.refresh.cache.job
-
Whether the refresh cache job is enabled for this node.
Default: false
- start.routing.job
-
Whether the routing job is enabled for this node.
Default: true
- start.stage.management.job
-
Whether the stage management job is enabled for this node.
Default: true
- start.stat.flush.job
-
Whether the statistic flush job is enabled for this node.
Default: true
- start.synctriggers.job
-
Whether the sync triggers job is enabled for this node.
Default: true
- start.watchdog.job
-
Whether the watchdog job is enabled for this node.
Default: true
- statistic.manager.class
-
Statistics Manager
Default: com.jumpmind.symmetric.statistic.ThroughputStatisticManager
- statistic.record.enable
-
Control whether statistics are recorded.
Default: true
- stream.to.file.enabled
-
Save data to the file system before transporting it to the client or loading it to the database if the number of bytes is past a certain threshold. This allows for better compression and better use of database and network resources. Statistics in the batch tables will be more accurate if this is set to true because each timed operation is independent of the others.
Default: true
- sync.table.prefix
-
When symmetric tables are created and accessed, this is the prefix to use for the tables.
Default: sym
- sync.url
-
The url that can be used to access this SymmetricDS node. The default setting of http://$(hostName):31415/sync should be valid of the standalone launcher is used with the default settings The tokens of $(hostName) and $(ipAddress) are supported for this property.
- tibero.bulk.load.dname
-
For bulk loading with tbLoader, specify the database name. If blank, the database name is determined using the db.url parameter.
Default:
- tibero.bulk.load.tbloader.cmd
-
Path to the tbloader executable for running Tibero tbLoader. If blank, it will check for TB_HOME environment variable and find tbLoader there. Otherwise, it will run "tbloader" and expect the operating system to find it.
Default:
- tibero.bulk.load.tbloader.options
-
Options passed to Tibero tbLoader
Default: direct=N dpl_parallel=1 disable_idx=N readsize=2097152 bindsize=2097152 rows=2000 errors=0
- transport.type
-
Specify the transport type. Supported values currently include: http, file, internal.
Default: http
- treat.binary.as.lob.enabled
-
Whether binary fields should be treated as lobs
Default: true
- update.service.class
-
Update service
Default: com.jumpmind.symmetric.console.service.impl.ConsoleUpdateService
- web.batch.servlet.enable
-
Indicate whether the batch servlet (which allows specific batches to be requested) is enabled.
Default: true
B.2. Runtime Parameters
Runtime parameters are read periodically from properties files or the database. The following properties are used:
- allow.updates.with.results
-
When executing DML statements during data load, this controls whether executeUpdate or execute is used on the PreparedStatement. executeUpdate is used by default. execute() allows for unusual situations like when an application trigger generates a result set during an update statement.
Default: false
- as400.cast.clob.to
-
Specify the database type to cast clob values to
Default: DBCLOB
- auto.registration
-
If this is true, registration is opened automatically for nodes requesting it.
Default: false
- auto.reload
-
If this is true, a reload is automatically sent to nodes when they register This parameter needs set for the node that will send the initial load, not the node receiving it.
Default: false
- auto.reload.reverse
-
If this is true, a reload is automatically sent from a source node to all target nodes after the source node has registered.
Default: false
- auto.resolve.foreign.key.violation
-
If this is true, when a batch receives a foreign key violation, the missing data will be automatically sent to resolve it. The resolution is done at the source node by sending reload batches when it receives the acknowledgement of the batch error.
Default: true
- auto.resolve.foreign.key.violation.reverse
-
If this is true, when a batch receives a foreign key violation, the missing data will be automatically sent to resolve it. The resolution is done at the target node by sending a script that requests reload batches.
Default: false
- auto.resolve.foreign.key.violation.reverse.peers
-
When resolving a foreign key violation for a batch in error at a node, also send the missing data to peers in a multi-master configuration who may also be missing the same data.
Default: false
- auto.resolve.foreign.key.violation.reverse.reload
-
If this is true, when a reload batch receives a foreign key violation, the missing data will be automatically sent to resolve it. The resolution is done at the target node by sending a script that requests reload batches.
Default: true
- auto.start.engine
-
This indicates whether this node engine should be started when the instance is restarted
Default: true
- auto.sync.config.at.startup
-
If this is true, then check if configuration should be pulled from registration server at startup. If the config version in the database does not match the software version, it will pull config.
Default: true
- auto.sync.configuration
-
Capture and send SymmetricDS configuration changes to client nodes.
Default: true
- auto.sync.configuration.on.incoming
-
Whether triggers should fire when changes sync into the node that this property is configured for.
Default: true
- auto.sync.triggers
-
If this is true, triggers will be created or dropped to match configuration during the sync triggers process.
Default: true
- auto.sync.triggers.after.config.change
-
If this is true, when a configuration change is detected during routing, symmetric will make sure all triggers in the database are up to date.
Default: true
- auto.sync.triggers.after.config.loaded
-
If this is true, when a configuration change is detected while being loaded onto a target node, symmetric will make sure all triggers in the database are up to date.
Default: true
- auto.sync.triggers.at.startup
-
If this is true, then run the sync triggers process at startup
Default: true
- batch.screen.max.to.select
-
The maximum number of batches to display on the outgoing batch screen.
Default: 10000
- bsh.load.filter.handles.missing.tables
-
This parameter can be used to indicate that bean shell load filters will handle missing tables. Useful for the case where you want to make, for example, global catalog or schema changes at the destination in the case where the catalog, schema, or table doesn’t exist but the BSH will handle it.
Default: false
- bsh.transform.global.script
-
BeanShell script to include at the beginning of all scripts used in transforms
Default:
- cache.channel.common.batches.time.ms
-
This is the amount of time the routing service will cache the common batch status of channels.
Default: 600000
- cache.channel.default.router.time.ms
-
This is the amount of time the routing service will cache the default router status of channels.
Default: 600000
- cache.channel.time.ms
-
This is the amount of time channel entries will be cached before re-reading them from the database.
Default: 600000
- cache.conflict.time.ms
-
This is the amount of time conflict setting entries will be cached before re-reading them from the database.
Default: 600000
- cache.grouplets.time.ms
-
This is the amount of time grouplet entries will be cached before re-reading them from the database.
Default: 600000
- cache.load.filter.time.ms
-
This is the amount of time load filter entries will be cached before re-reading them from the database.
Default: 600000
- cache.monitor.time.ms
-
This is the amount of time monitor entries will be cached before re-reading them from the database.
Default: 60000
- cache.node.group.link.time.ms
-
This is the amount of time node group links entries will be cached before re-reading them from the database.
Default: 600000
- cache.node.security.time.ms
-
This is the amount of time node security entries will be cached before re-reading them from the database.
Default: 600000
- cache.node.time.ms
-
This is the amount of time node entries will be cached before re-reading them from the database.
Default: 600000
- cache.notification.time.ms
-
This is the amount of time notification entries will be cached before re-reading them from the database.
Default: 60000
- cache.transform.time.ms
-
This is the amount of time transform entries will be cached before re-reading them from the database.
Default: 600000
- cache.trigger.router.time.ms
-
This is the amount of time trigger entries will be cached before re-reading them from the database.
Default: 600000
- check.software.updates
-
Check for a newer version of SymmetricDS and let the user know when one is available.
Default: true
- cloud.bulk.load.azure.account.key
-
The Azure storage account key
Default:
- cloud.bulk.load.azure.account.name
-
The Azure storage account name
Default:
- cloud.bulk.load.azure.blob.container
-
The Azure storage account blob container name
Default: symmetricds
- cloud.bulk.load.azure.sas.token
-
The Azure storage account SAS Token (Shared Access Signature)
Default:
- cloud.bulk.load.max.bytes.before.flush
-
Maximum number of bytes to write to file before copying to cloud storage
Default: -1
- cloud.bulk.load.max.rows.before.flush
-
Maximum number of rows to write to file before copying to cloud storage
Default: -1
- cloud.bulk.load.s3.access.key
-
The AWS access key ID (aws_access_key_id) to use as credentials for uploading to S3
Default:
- cloud.bulk.load.s3.bucket
-
The S3 bucket where bulk load files will be uploaded
Default:
- cloud.bulk.load.s3.endpoint
-
The endpoint for the s3 bucket. If not set it will use the default endpoint.
Default:
- cloud.bulk.load.s3.region
-
The AWS S3 region
Default: us-east-1
- cloud.bulk.load.s3.secret.key
-
The AWS secret access key (aws_secret_access_key) to use as credentials for uploading to S3
Default:
- cluster.lock.enabled
-
Enables clustering of jobs.
Default: false
- cluster.lock.refresh.ms
-
Period of time that certain locks will get refreshed while long processing happens. This value should be a small fraction of cluster.lock.timeout.ms
Default: 1200000
- cluster.lock.timeout.ms
-
Indicate that this node is being run on a farm or cluster of servers and it needs to use the database to 'lock' out other activity when actions are taken.
Default: 7200000
- cluster.staging.enabled
-
Set this to true if you are sharing your staging directory with multiple instances of SymmetricDS
Default: false
- compression.level
-
Set the compression level this node will use when compressing synchronization payloads. @see java.util.zip.Deflater NO_COMPRESSION = 0 BEST_SPEED = 1 BEST_COMPRESSION = 9 DEFAULT_COMPRESSION = -1
Default: -1
- compression.strategy
-
Set the compression strategy this node will use when compressing synchronization payloads. @see java.util.zip.Deflater FILTERED = 1 HUFFMAN_ONLY = 2 DEFAULT_STRATEGY = 0
Default: 0
- console.auth.config.client
-
Allow configuration changes to occur on remote non-registration nodes.
Default: false
- console.auth.ldap.baseDN
-
The LDAP base DN to search for a user.
Default:
- console.auth.ldap.host
-
The LDAP server host name.
Default:
- console.auth.ldap.searchAttribute
-
LDAP attribute to search for.
Default:
- console.help.show
-
Display help text next to entry forms on screens by default.
Default: true
- console.ip.addr.filter
-
Filters access by IP address using a regular expression match. For example, filter for local addresses is ^(10\.|192\.168|127).*
Default:
- console.node.connection.diagnostic.download.bandwidth.payloads
-
Console node connection diagnostic download bandwidth payloads
Default: 100000,1000000,10000000
- console.node.connection.diagnostic.upload.bandwidth.payloads
-
Console node connection diagnostic upload bandwidth payloads
Default: 100000,1000000,10000000
- console.password.encrypt.method
-
Password encryption type (SHA-1 or SHA-512)
Default: SHA-512
- console.password.expire.days
-
Password expiration duration in days (0 = never expire)
Default: 0
- console.password.failed.attempts
-
Number of failed login attempts before lockout (0 = never lockout)
Default: 5
- console.password.min.length
-
Minimum password length for new passwords (must be greater than 0)
Default: 6
- console.password.prohibit.common.words
-
Prohibit commonly used words in passwords
Default: true
- console.password.prohibit.previous
-
The number of recent passwords to prohibit when creating a new password (0 = no history is kept, -1 = infinite)
Default: 0
- console.password.require.alphanum
-
Require an alphanumeric password
Default: true
- console.password.require.mixed.case
-
Require mixed case in password
Default: true
- console.password.require.symbol
-
Require a symbol in password
Default: true
- console.password.salt
-
Use salt in password encryption
Default: true
- console.registration.method
-
Change the functionality of the registration of a node in the manage tab. The possible values are: wait-accept and pre-auth
Default: wait-accept
- console.remote.meta.data
-
Retrieve meta data for catalog, schema, table per node group
Default: true
- console.report.as.offline.minutes
-
Setting that defines when a Node should be considered "offline." The node offline monitor uses this setting.
Default: 1440
- console.web.enabled
-
Determines if console is available or if a splash screen is displayed. Does not affect synchronization. Requires restart on change.
Default: true
- console.web.hide.system.info
-
Hide system information such as heartbeat and config information
Default: true
- create.table.not.null.columns.supported
-
If set to true, when a table’s schema is sent to the target database it will use NOT NULL statements to match the source. If this is false NOT NULL will not be included in the sql
Default: true
- create.table.without.defaults
-
If set to true, when a table’s schema is sent to the target database default values will not be included.
Default: false
- create.table.without.foreign.keys
-
If set to true, when a table’s schema is sent to the target database foreign keys will not be included.
Default: false
- create.table.without.indexes
-
If set to true, when a table’s schema is sent to the target database, indexes will not be included.
Default: false
- create.table.without.pk.if.source.without.pk
-
If set to true, when a table’s schema is sent to the target database it will not have all columns set as the primary key if the source does not have any primary keys.
Default: true
- dashboard.refresh.rate.ms
-
The configured refresh rate of the dashboard screen.
Default: 10000
- data.create_time.timezone
-
The timezone to use for create_time in the data table, e.g. +00:00. By default, when this is not set, trigger templates will normally call a now() type function.
Default:
- data.id.increment.by
-
This is the expected increment value for the data_id in the data table. This is useful if you use auto_increment_increment and auto_increment_offset in MySQL. Note that these settings require innodb_autoinc_lock_mode=0, otherwise the increment and offset are not guaranteed.
Default: 1
- dataextractor.enable
-
Disable the extraction of all channels with the exception of the config channel
Default: true
- dataextractor.text.column.expression
-
Provide an expression that will be used in the trigger templates, and in the initial load and the sym_data extraction SQL for all text based column values (like varchar, char, nvarchar, clob and nchar columns). The expression can be used to make scenario based casts. For example, if the data in the database was inserted under a different character set that the default character set on Oracle, then a helpful expression might be something like this: convert($(columnName), 'AR8ISO8859P6', 'AR8MSWIN1256')
Default:
- dataloader.apply.changes.only
-
Indicates that old data should be used to create the update statement. If old data is equal to the new data and this property is set to true, then no update statement will be run.
Default: false
- dataloader.create.table.alter.to.match.db.case
-
Whether to alter the case of the database tables that are created by the SymmetricDS data loader to match the default case of the target database.
Default: true
- dataloader.enable
-
Disable the loading of all channel with the exception of the config channel. This property can be set to allow all changes to be extracted without introducing other changes in order to allow maintenance operations.
Default: true
- dataloader.error.save.curval
-
Indicates that the current value of the row should be recorded in the incoming_error table
Default: false
- dataloader.fit.to.column
-
Indicate that the data loader should truncate data that is bigger than the target columns can handle. This applies to text-based columns only.
Default: false
- dataloader.ignore.missing.tables
-
Tables that are missing at the target database will be ignored. This should be set to true if you expect that in some clients a table might not exist. If set to false, the batch will fail.
Default: false
- dataloader.max.rows.before.commit
-
This is the maximum number of rows that will be supported in a single transaction. If the database transaction row count reaches a size that is greater than this number then the transaction will be auto committed. The default value of -1 indicates that there is no size limit.
Default: 10000
- dataloader.sleep.time.after.early.commit
-
Amount of time to sleep before continuing data load after dataloader.max.rows.before.commit rows have been loaded. This is useful to give other application threads a chance to do work before continuing to load.
Default: 5
- dataloader.text.column.expression
-
Provide a SQL expression that will be used by the data loader in DML statements for all text based column values (like varchar, char, nvarchar, clob and nchar columns). The expression can be used to make scenario based casts. For example, if the data in the database should be converted to a different character set that the default character set on Oracle, then a helpful expression might be something like this: convert($(columnName), 'AR8MSWIN1256', 'AR8ISO8859P6')
Default:
- dataloader.use.primary.keys.from.source
-
Indicates that the database writer should use the primary keys from the source. Flip this to false if you want update and deletes to be based on the primary key as defined by the target table
Default: true
- datareload.batch.insert.transactional
-
Indicate whether the process of inserting data, data_events and outgoing_batches for a reload is transactional. The only reason this might be marked as false is to reduce possible contention while multiple nodes connect for reloads at the same time.
Default: true
- db.master.collation
-
For Sql Server, work around "Implicit conversion of varchar" issues by explicitly collating varchar columns in the database trigger. Relevant when the default database collation does not match the collation of the varchar columns of a table
Default:
- db.treat.date.time.as.varchar.enabled
-
This is a setting that instructs the data capture and data load to treat JDBC TIME, DATE, and TIMESTAMP columns as if they were VARCHAR columns. This means that the columns will be captured and loaded in the form that the database stores them. Setting this to true on MySQL will allow datetime columns with the value of '0000-00-00 00:00:00' to be synchronized.
Default: false
- dbf.router.validate.header
-
Determines if the *.DBF file headers should be validated when using the DBF Router
Default: true
- extensions.xml
-
Spring xml configuration for extension points. This property enables maintaining Spring extension point configuration in the database. After changing this property a server restart is required.
Default:
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:util="http://www.springframework.org/schema/util"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/util
http://www.springframework.org/schema/util/spring-util-3.0.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd">
</beans>
- external.id.is.unique.enabled
-
null
Default: true
- extract.check.row.size
-
Determines if the size of a LOB value should be checked before extracting to prevent a JVM crash that can occur if the size of a LOB is bigger than the max size of a java array 2^31 - 1
Default: false
- extract.row.max.length
-
Used when the extract.check.row.size is true as an upper limit to check against. If the size exceeds the limit the row will be skipped and logged as a warning.
Default: 1000000000
- file.pull.lock.timeout.ms
-
null
Default: 7200000
- file.pull.period.minimum.ms
-
null
Default: 0
- file.pull.thread.per.server.count
-
null
Default: 1
- file.push.lock.timeout.ms
-
null
Default: 7200000
- file.push.period.minimum.ms
-
null
Default: 0
- file.push.thread.per.server.count
-
null
Default: 1
- file.sync.delete.ctl.file.after.sync
-
If the ctl file is used to control file triggers this will allow the system to remove the ctl file after sync but leave the source file.
Default: false
- file.sync.enable
-
Enables File Synchronization capabilities
Default: false
- file.sync.fast.scan
-
Fast scan will look for files that were modified since the last run of file sync tracker and commit their changes using the data loader max commit row setting. When it finds modified directories, it compares to the file snapshot to find changes. For a large file system, this is faster and more efficient than the normal tracker.
Default: true
- file.sync.lock.wait.ms
-
How long file sync should wait in millis for the exclusive lock used by file tracker or the shared lock used by file sync push/pull jobs.
Default: 300000
- file.sync.prevent.ping.back
-
Record each file received in the sym_incoming_file table, which is checked when syncing outgoing files to prevent a "ping back" where the same file change is sent back and forth during bi-directional sync. If you aren’t using bi-directional sync, turn this off for better performance.
Default: true
- file.sync.use.crc
-
Calculate a checksum for each file (using CRC32), which is used to detect a file collision if the target file has a different checksum. If you don’t need to detect conflicts, turn this off for better performance.
Default: true
- file.sync.use.ctl.as.file.ext
-
If the ctl file is used to control file triggers this will look for a control file with the same name but .ctl replacing the existing extension. Example: temp.txt would need control file called temp.ctl instead of temp.txt.ctl
Default: false
- firebird.extract.varchar.row.old.pk.data
-
On Firebird database, the varchar sizes to use during extracting the row_data, old_data, and pk_data from sym_data. Specify the values as comma-separated for row, old, and pk respectively. By casting to varchar and using small sizes, performance of extract is improved. The entire row size must be under 64K or you will get a "block size exceeds implementation restriction" error. If you need to extract larger sizes, then enable the contains_big_lobs on the channel.
Default: 20000,20000,1000
- google.bigquery.location
-
Google BigQuery location.
Default: US
- google.bigquery.max.rows.per.rpc
-
Google BigQuery parameter to control the number of rows sent through the insertAll command while sending data into BigQuery.
Default: 100
- google.bigquery.project.id
-
Google BigQuery project id.
Default:
- grouplet.enable
-
Enables the Grouplet functionality
Default: false
- heartbeat.sync.on.push.enabled
-
Specify whether to push node_host records to configured push clients. If this is true the node for this instance and the node_host rows for all children instances will be pushed to all nodes that this node is configured to push to.
Default: true
- heartbeat.sync.on.push.period.sec
-
This is the number of seconds between when the sym_node_host table’s heartbeat_time column is updated. This property depends on the frequency of the heartbeat job. If the heartbeat job is set to run every 10 minutes and this property is set to 10 seconds, then the heartbeat will only update every 10 minutes.
Default: 0
- heartbeat.sync.on.startup
-
When this property is set to true the heartbeat process will run at server startup. Prior to 3.4 the heartbeat always happened at startup.
Default: false
- heartbeat.update.node.with.batch.status
-
When this is set to true, SymmetricDS will update fields in the sym_node table that indicate the number of outstanding errors and/or batches it has pending
Default: false
- http.compression
-
Whether or not to use compression over HTTP connections. Currently, this setting only affects the push connection of the source node. Compression on a pull is enabled using a filter in the web.xml for the PullServlet. @see web.compression.disabled to enable/disable the filter
Default: true
- http.concurrent.workers.max
-
This is the number of HTTP concurrent push/pull requests SymmetricDS will accept. This is controlled by the NodeConcurrencyFilter. The number is per servlet the filter is applied to. The db.pool.max.active value should be twice this value.
Default: 20
- http.connect.timeout.ms
-
Sets the connection timeout on the internal HttpUrlConnection
Default: 90000
- http.push.stream.output.enabled
-
The HTTP client connection, during a push, buffers the entire outgoing pay-load locally before sending it. Set this to true if you are getting heap space errors during a push. Note that basic auth may not work when this is turned on.
Default: true
- http.push.stream.output.size
-
When HTTP chunking is turned on, this is the size to use for each chunk.
Default: 30720
- http.timeout.ms
-
Sets the read timeout on the internal HttpUrlConnection
Default: 90000
- http.transport.manager.class
-
Custom http transport manager supporting remote status.
Default: com.jumpmind.symmetric.console.remote.RemoteStatusHttpTransportManager
- https.verified.server.names
-
During SSL handshaking, if the URL’s hostname and the server’s identification hostname mismatch, the verification mechanism will check this comma separated list of server names to see if the cert should be accepted (see javax.net.ssl.HostnameVerifier.) Set this value equal to 'all' if all server names should be accepted. Set this value to blank if a valid SSL cert is required.
Default:
- hybrid.push.pull.buffer.status.updates
-
This controls whether or not the ReportStatus job will buffer its status updates. When buffered, status updates will only be sent when a channel’s batch to send count goes from 0 to non-zero.
Default: true
- hybrid.push.pull.enabled
-
Enable hybrid push/pull functionality. Allows for pull configuration, but also allows clients to report their outgoing batch status so that the nodes that have data can be prioritized for pulling.
Default: false
- hybrid.push.pull.timeout.ms
-
When hybrid.push.pull.enabled=true, how much time in millis has to go by to pull from a node that hasn’t reported pending batches.
Default: 3600000
- incoming.batches.record.ok.enabled
-
Indicates whether batches that have loaded successfully should be recorded in the incoming_batch table. Note that if this is set to false, then duplicate batches will NOT be skipped because SymmetricDS will have no way of knowing that a batch has already loaded. This parameter can be set to false to reduce contention on sym_incoming_batch for systems with many clients.
Default: true
- incoming.batches.skip.duplicates
-
This instructs symmetric to attempt to skip duplicate batches that are received. Symmetric might be more efficient when recovering from error conditions if this is set to true, but you run the risk of missing data if the batch ids get reset (on one node, but not another) somehow (which is unlikely in production, but fairly likely in lab or development setups).
Default: true
- initial.load.after.sql
-
This is SQL that will run on the client after an initial load finishes. The default delimiter for these lines is a semicolon. To override, include a single line that starts with delimiter and is followed by the new delimiter, then the old For example a line that reads: delimiter $; would change sql lines to have a delimiter of $ for subsequent lines. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default:
- initial.load.before.sql
-
This is SQL that will run on the client before an initial load starts. The default delimiter for these lines is a semicolon. To override, include a single line that starts with delimiter and is followed by the new delimiter, then the old For example a line that reads: delimiter $; would change sql lines to have a delimiter of $ for subsequent lines. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default:
- initial.load.block.channels
-
Initial load and reload events should normally block other channels to ensure each table is loaded first followed by changes captured during the initial load. Setting this to false will allow all channels to load in priority order even when reload events or an initial load is running.
Default: true
- initial.load.concat.csv.in.sql.enabled
-
Indicates that the SQL used to extract data from a table for an initial load should concatenate the data using the same SQL expression that a trigger uses versus concatenating the data in code.
Default: false
- initial.load.create.first
-
Set this if tables should be created prior to an initial load. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default: false
- initial.load.defer.create.constraints
-
If tables are created as part of the initial load, it will defer the creation of foreign keys and indexes to improve performance. After data is loaded, the constraints will be added after tables have reached consistency. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default: true
- initial.load.delete.first
-
Set this if tables should be purged prior to an initial load. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default: false
- initial.load.delete.first.sql
-
This is the SQL statement that will be used for purging a table during an initial load. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default: delete from %s
- initial.load.extract.thread.per.server.count
-
The number of threads available for concurrent extracts of initial load batches.
Default: 20
- initial.load.extract.timeout.ms
-
The number of milliseconds to wait until the lock will be broken on an initial load extract job.
Default: 7200000
- initial.load.extract.use.two.pass.lob
-
Some dialects can extract small LOBs faster using a substring function. When the dialect supports it and the parameter is enabled, the initial load will extract tables with LOBs using two passes. The first pass gets rows with LOBs under the character limit, and the second pass gets all other rows. Currently implemented for Oracle/Tibero.
Default: true
- initial.load.purge.stage.immediate.threshold.rows
-
If the number of rows in a reload batch is greater than or equal to this threshold, it will immediately purge the staging file after it is successfully loaded. Set this to -1 to disable and keep the staging files.
Default: 100
- initial.load.recursion.self.fk
-
For tables with self-referencing foreign keys, the initial load will attempt to query each level of the rows starting with parent rows, as a way to preserve the order of rows.
Default: true
- initial.load.reverse.after.sql
-
This is SQL that will run on the server after a reverse initial load finishes.
Default:
- initial.load.reverse.before.sql
-
This is SQL that will run on the server before a reverse initial load starts.
Default:
- initial.load.reverse.first
-
Indicate that if both the initial load and the reverse initial load are requested, then the reverse initial load should take place first.
Default: true
- initial.load.schema.dump.command
-
Specify a system command that writes the structure of the database to system.out to be captured and sent to the node that is being initial loaded. Used in conjunction with initial.load.schema.load.command. An example is: pg_dump --dbname=server --schema=my_schema --schema-only --clean
Default:
- initial.load.schema.load.command
-
Specify a system command that will take the content captured by initial.load.schema.dump.command and apply it to the database. The content is passed to the system command via system.in. An example is: psql --output=output.log --dbname=client
Default:
- initial.load.transport.max.bytes.to.sync
-
This is the number of maximum number of bytes to synchronize in one connect during an initial load.
Default: 524288000
- initial.load.unblock.channels.on.error
-
Allow other channels to load when initial.load.block.channels is true and the reload channel goes into error. When the initial load runs while changes are being made, it can lead to foreign key errors that might resolve when the other channels are allowed to sync.
Default: false
- initial.load.use.column.templates.enabled
-
The initial load SQL to extract a table will wrap each column with a template of SQL functions to format the data using the database. When disabled, each column is selected directly, and data is formatted by the server instead. Currently, the server can format string, integer, and LOB types, but other types still use templates.
Default: false
- initial.load.use.estimated.counts
-
Estimate the row count for tables to generate the number of batches needed for initial load. It is faster to estimate the row count than to get an actual row count.
Default: true
- initial.load.use.extract.job.enabled
-
Indicate that the extract job job should be used to extract reload batches
Default: true
- initial.load.use.reload.channel
-
Indicate that the initial load events should be put on the reload channel. If this is set to false each table will be put on it’s assigned channel during the reload. This parameter needs set for the node that will send the initial load, not the node receiving it.
Default: true
- job.file.sync.pull.period.time.ms
-
null
Default: 60000
- job.file.sync.push.period.time.ms
-
null
Default: 60000
- job.file.sync.tracker.cron
-
null
Default: 0 0/5 * * * *
- job.heartbeat.period.time.ms
-
This is how often the heartbeat job runs. Note that this doesn’t mean that a heartbeat is performed this often. See heartbeat.sync.on.push.period.sec to change how often the heartbeat is sync’d
Default: 900000
- job.initial.load.extract.period.time.ms
-
This is how often the initial load extract job will run in the background
Default: 10000
- job.initial.load.queue.period.time.ms
-
This is how often the initial load queue job will run in the background
Default: 10000
- job.monitor.period.time.ms
-
null
Default: 60000
- job.offline.pull.period.time.ms
-
This is how often the offline pull job will be run to schedule offline reading of batch files from nodes.
Default: 60000
- job.offline.push.period.time.ms
-
This is how often the offline push job will be run to schedule offline writing of batch files for nodes.
Default: 60000
- job.pull.period.time.ms
-
This is how often the pull job will be run to schedule pulls of nodes.
Default: 60000
- job.purge.first.pass
-
Enables a first pass purge for sym_data and sym_data_event that quickly purges the beginning of the table that precedes outstanding batches. These delete statements don’t use joins, so they run quicker.
Default: true
- job.purge.first.pass.outstanding.batches.threshold
-
The maximum number of outstanding batches allowed for running the first pass purge. If there are too many outstanding batches, it will take too long to find their first data_id, so it shouldn’t be run.
Default: 100000
- job.purge.incoming.cron
-
This is how often the incoming batch purge job will be run.
Default: 0 0 */4 * * *
- job.purge.max.lingering.batches.read
-
The number of lingering batch IDs to read into memory at once before purging them from the database. A lingering batch is a batch that had a non-OK status when it became old enough to purge. The purge job runs a special routine to purge lingering batches after their status becomes OK, which allows the normal routine to move forward efficiently.
Default: 100000
- job.purge.max.num.batches.to.delete.in.tx
-
This is the number of batches that will be purged in one database transaction.
Default: 5000
- job.purge.max.num.data.event.batches.to.delete.in.tx
-
This is the number of batches that will be purged from the data_event table in one database transaction.
Default: 5
- job.purge.max.num.data.to.delete.in.tx
-
This is the number of data ids that will be purged in one database transaction.
Default: 5000
- job.purge.outgoing.cron
-
This is how often the outgoing batch and data purge job will be run.
Default: 0 0 */4 * * *
- job.push.period.time.ms
-
This is how often the push job will be run to schedule pushes to nodes.
Default: 60000
- job.refresh.cache.cron
-
This is when the refresh cache job will run.
Default: 0/30 * * * * *
- job.report.status.cron
-
This is how often a client will push its status to the root server. Used in conjuction with hybrid.push.pull.
Default: 0 0/5 * * * *
- job.routing.period.time.ms
-
This is how often the router will run in the background
Default: 10000
- job.stage.management.cron
-
This is when the stage management job will run.
Default: 0 0 * * * *
- job.stat.flush.cron
-
This is how often accumulated statistics will be flushed out to the database from memory.
Default: 0 0/5 * * * *
- job.sync.config.cron
-
This is when the sync config job will run.
Default: 0 0/10 1 * * *
- job.synctriggers.cron
-
This is when the sync triggers job will run.
Default: 0 0 0 * * *
- job.watchdog.period.time.ms
-
null
Default: 3600000
- jobs.synchronized.enable
-
If jobs need to be synchronized so that only one job can run at a time, set this parameter to true
Default: false
- lock.timeout.ms
-
The amount of time a thread can hold a shared or exclusive lock before another thread can break the lock. The timeout is a safeguard in case an unexpected exception causes a lock to be abandoned. Restarting the service will clear all locks.
Default: 1800000
- lock.wait.retry.ms
-
While waiting for a lock to be released, how often should we check the lock status in the sym_lock table in the database.
Default: 10000
- log.conflict.resolution
-
Whether logging is enabled for conflict resolution
Default: false
- log.miner.flush.commit.size
-
Log miner commit size for saving change data capture rows.
Default: 1000
- log.miner.xid.queue.threshold
-
Log miner number of changes per transaction that will be stored in memory before switching to writing them to disk instead. Set to -1 to always use memory.
Default: 100000
- login.intro.text
-
Intro text displayed at the top of the login dialog
Default:
- monitor.events.capture.enabled
-
Enable capturing of monitor events and syncing to other nodes. When disabled, monitor events are still generated, just not synced to other nodes.
Default: false
- mssql.allow.only.row.level.locks.on.runtime.tables
-
Automatically update data, data_event and outgoing_batch tables to allow only row level locking.
Default: true
- mssql.bulk.load.field.terminator
-
Specify the field terminator used by the SQL Server bulk loader. Pick something that does not exist in the data in your database.
Default: ||
- mssql.bulk.load.fire.triggers
-
Whether or not triggers should be allowed to fire when bulk loading data.
Default: false
- mssql.bulk.load.max.rows.before.flush
-
Maximum number of rows to write to file before running with "BULK INSERT" to SQL-Server
Default: 100000
- mssql.bulk.load.row.terminator
-
Specify the line terminator used by the SQL Server bulk loader. Pick something that does not exist in the data in your database.
Default: \r\n
- mssql.bulk.load.unc.path
-
Specify a UNC network path to the tmp\bulkloaddir directory for SQL Server to access bulk load files. Use this property with bulk loader when SymmetricDS is on a separate server from SQL Server.
Default:
- mssql.include.catalog.in.triggers
-
Includes the catalog/database name within generated triggers (catalog.schema.table). May need turned off to support backup processes such as creating a bacpac file
Default: true
- mssql.lock.escalation.disabled
-
Disables lock escalation and turns off page level locking. May need turned off to support backup processes such as creating a bacpac file
Default: true
- mssql.trigger.execute.as
-
Specify the user the SymmetricDS triggers should execute as. Possible values are { CALLER | SELF | OWNER | 'user_name' }
Default: caller
- mssql.trigger.order.first
-
Set the order of triggers to 'First' using sp_settriggerorder after creating triggers. This is needed when the user has existing custom triggers that modify data. The SymmetricDS triggers need to fire first and capture the first change so that order of changes is preserved. If the user has a trigger set as 'First', it will be changed to 'None'.
Default: false
- mssql.use.ntypes.for.sync
-
Use ntext for the data capture columns and cast to nvarchar(max) in the trigger text so that nvarchar, ntext and nchar double byte data isn’t lost when the database collation for char types isn’t compatible with n char types.
Default: false
- mysql.bulk.load.replace
-
Whether or not to replace rows that already exist, based on primary key or unique key. If set to false, duplicates will be skipped.
Default: true
- mysql.tinyint.ddl.to.boolean
-
Allows MySQL columns of type tinyint to be sent to other platforms as boolean in ddl statements
Default: false
- node.copy.mode.enabled
-
If the copy mode is enabled and the node starts up with an identity that does not match the configured external id, then the node will register with a special parameter that indicates the registration server should copy outgoing batch to the new node id.
Default: false
- node.id.creator.script
-
This is a bean shell script that will be used to generate the node id for a registering node. This script is run on the registration server, not the registering node. The following variable are available for use: node, hostname, remoteHost, remoteAddress, and log. You can get the node group id by calling node.getNodeGroupId()
Default:
- node.offline
-
Set the node to offline mode so that outgoing and incoming data are written to and read from a local directory instead of being sent over the network.
Default: false
- node.offline.archive.dir
-
For a node operating in offline mode, specify the local directory where incoming data files should be moved to after successfully loading them. If this parameter is empty, files are removed after loading. The $(nodeGroupId) and $(nodeId) variables are useful when running multiple engines in the same server.
Default:
- node.offline.error.dir
-
For a node operating in offline mode, specify the local directory where incoming data files should be moved to when they encounter an error during loading. To guarentee order of data loading, this parameter should be left empty so the file is not moved. The $(nodeGroupId) and $(nodeId) variables are useful when running multiple engines in the same server.
Default:
- node.offline.incoming.accept.all
-
Accept batch data files from any node in the incoming directory, regardless of whether or not it is considered offline.
Default: true
- node.offline.incoming.dir
-
For a node operating in offline mode, specify the local directory where data files should be read from. The $(nodeGroupId) and $(nodeId) variables are useful when running multiple engines in the same server.
Default: tmp/$(nodeGroupId)-$(nodeId)/offline/incoming
- node.offline.outgoing.dir
-
For a node operating in offline mode, specify the local directory where data files should be written to. The $(nodeGroupId) and $(nodeId) variables are useful when running multiple engines in the same server.
Default: tmp/$(nodeGroupId)-$(nodeId)/offline/outgoing
- num.of.ack.retries
-
This is the number of times we will attempt to send an ACK back to the remote node when pulling and loading data.
Default: 5
- offline.node.detection.period.minutes
-
This is the number of minutes that a node has been offline before taking action A value of -1 (or any negative value) disables the feature.
Default: -1
- offline.node.detection.restart.minutes
-
This is the number of minutes after a node has been restarted that it will begin considering remote nodes as offline. This gives remote nodes a chance to send their heartbeats.
Default: 5
- offline.pull.lock.timeout.ms
-
The amount of time a single offline pull worker node_communication lock will timeout after.
Default: 7200000
- offline.pull.thread.per.server.count
-
The number of threads created that will be used to read incoming offline batch data files
Default: 1
- offline.push.lock.timeout.ms
-
The amount of time a single offline push worker node_communication lock will timeout after.
Default: 7200000
- offline.push.thread.per.server.count
-
The number of threads created that will be used to write outgoing offline batch data files
Default: 1
- oracle.bulk.load.field.terminator
-
Specify the field terminator used by the Oracler SQL*Loader. Pick something that does not exist in the data in your database.
Default: |}
- oracle.bulk.load.line.terminator
-
Specify the line terminator used by the Oracler SQL*Loader. Pick something that does not exist in the data in your database.
Default: |>
- oracle.load.query.hint.parallel.count
-
For initial load extracting data to specify the number of parallel processes to use while selecting data from a table
Default: 1
- oracle.sequence.noorder
-
On Oracle RAC, an ordered sequence for sym_data must be coordinated across RAC nodes, which has wait overhead. By setting this to true, a no-order sequence is used instead, which performs better for high throughput. Because the sequence is no longer ordered, sym_data is queried using an order by of create_time and data_id. You will need to restart after changing this parameter to get DDL applied to the sequence and sym_data.
Default: false
- oracle.sequence.noorder.nextvalue.db.urls
-
For Oracle RAC in no-order mode, this parameter provides two methods for managing data gaps across multiple nodes in the cluster. When left blank, routing will use gv$_sequences to manage gaps. Or, use this parameter to specify a comma-separated list of database URLs to connect to during the heartbeat, which ensures each RAC node has periodic activity within its gap to prevent the gap from expiring.
Default:
- oracle.template.precision
-
This is the precision that is used in the number template for oracle triggers
Default: *,38
- oracle.transaction.view.clock.sync.threshold.ms
-
Requires access to gv$transaction. This is the threshold by which clock can be off in an oracle rac environment. It is only applicable when oracle.use.transaction.view is set to true.
Default: 60000
- oracle.use.ntypes.for.sync
-
Use nclob for the data capture columns and use to_nclob() in the trigger text so that double byte data isn’t lost when the database collation for char types isn’t compatible with n char types.
Default: false
- oracle.use.transaction.view
-
Requires access to gv$transaction
Default: false
- outgoing.batches.copy.to.incoming.staging
-
When sending an outgoing batch, copy directly from the outgoing staging to the incoming staging when both nodes are on the same server. This also requires the staging to be enabled (stream.to.file.enabled=true). The HTTP transport is still used to send a batch "retry" instruction that causes the target node to read from staging.
Default: true
- outgoing.batches.max.to.select
-
The maximum number of unprocessed outgoing batch rows for a node that will be read into memory for the next data extraction.
Default: 50000
- outgoing.batches.peek.ahead.batch.commit.size
-
This is the number of data events that will be batched and committed together while building a batch. Note that this only kicks in if the prospective batch size is bigger than the configured max batch size.
Default: 10
- outgoing.batches.update.status.data.count
-
Update the outgoing batch status to QY (querying) and SE (sending) when the data event count is larger than this threshold. This can improve performance overhead on small batches by avoiding status updates.
Default: 1000
- outgoing.batches.update.status.millis
-
Update the outgoing batch status to QY (querying) and SE (sending) only when the last update to the batch is in the past by at least the specified number of milliseconds. This can improve performance overhead on small batches by avoiding status updates.
Default: 10000
- parameter.reload.timeout.ms
-
The number of milliseconds parameters will be cached by the ParameterService before they are reread from the file system and database.
Default: 600000
- pull.immediate.if.data.found
-
If true, the pull job will re-pull immediately after it receives data.
Default: true
- pull.lock.timeout.ms
-
The amount of time a single pull worker node_communication lock will timeout after.
Default: 7200000
- pull.period.minimum.ms
-
This is the minimum time that is allowed between pulls of a specific node.
Default: 0
- pull.thread.per.server.count
-
The number of threads created that will be used to pull nodes concurrently on one server in the cluster.
Default: 10
- purge.extract.request.retention.minutes
-
This is the retention time for how long a extract request will be retained
Default: 14400
- purge.log.summary.retention.minutes
-
This is the retention for how long log summary messages will be retained in memory.
Default: 60
- purge.registration.request.retention.minutes
-
This is the retention time for how long a registration request will be retained
Default: 7200
- purge.retention.minutes
-
This is the retention for how long synchronization data will be kept in the symmetric synchronization tables. Note that data will be purged only if the purge job is enabled.
Default: 120
- purge.stats.retention.minutes
-
This is the retention for how long statistic data will be kept in the symmetric stats tables. Note that data will be purged only if the statistics flush job is enabled.
Default: 14400
- push.immediate.if.data.found
-
If true, the push job will re-push immediately after it sends data.
Default: true
- push.lock.timeout.ms
-
The amount of time a single push worker node_communication lock will timeout after.
Default: 7200000
- push.period.minimum.ms
-
This is the minimum time that is allowed between pushes to a specific node.
Default: 0
- push.thread.per.server.count
-
The number of threads created that will be used to push to nodes concurrently on one server in the cluster.
Default: 10
- redshift.append.to.copy.command
-
The value of this property will be appended to the end of the copy command when the redshift data loader is enabled.
Default:
- redshift.bulk.load.max.bytes.before.flush
-
Maximum number of bytes to write to file before copying to S3 and running with COPY statement
Default: 1000000000
- redshift.bulk.load.max.rows.before.flush
-
Maximum number of rows to write to file before copying to S3 and running with COPY statement
Default: 100000
- redshift.bulk.load.s3.access.key
-
The AWS access key ID (aws_access_key_id) to use as credentials for uploading to S3
Default:
- redshift.bulk.load.s3.bucket
-
The S3 bucket where bulk load files will be uploaded to before bulk loading into Redshift
Default:
- redshift.bulk.load.s3.endpoint
-
The endpoint for the s3 bucket. If not set it will use the default endpoint.
Default:
- redshift.bulk.load.s3.secret.key
-
The AWS secret access key (aws_secret_access_key) to use as credentials for uploading to S3
Default:
- registration.number.of.attempts
-
This is the number of times registration will be attempted before being aborted. The default value is -1 which means an endless number of attempts. This parameter is specific to the node that is trying to register, not the node that is providing registration.
Default: -1
- registration.reinitialize.enable
-
Indicates whether SymmetricDS should be re-initialized immediately before registration. When a client is successful with its registration, it will un-install its database objects (sym triggers, tables, and procedures), then re-install its database objects and load the configuration received from registration.
Default: false
- registration.reopen.use.same.password
-
Indicates that if registration is reopened if the same password should be used. If set to false then a new password will be generated.
Default: true
- registration.require.initial.load
-
When this is set to true a node will have to have had an initial load prior to allowing other nodes to register with it
Default: true
- remote.status.connect.timeout.ms
-
Amount of time a thread will wait for a remote SymmetricDS node to connect.
Default: 900000
- remote.status.enabled
-
Enables the use of web sockets to get the remote status of nodes for the web user interface
Default: true
- remote.status.follow.group.link.direction
-
Determines whethere remote status calls will be limited to the group link configuration.
Default: false
- remote.status.idle.timeout.ms
-
Idle timeout of a remote status web socket connection
Default: 300000
- remote.status.max.threads
-
Max number of threads allowed to be used by Remote Status requests.
Default: 20
- remote.status.send.timeout.ms
-
Send timeout of a remote status web socket connection
Default: 60000
- rest.api.enable
-
Enables the REST API
Default: false
- rest.api.heartbeat.on.pull
-
Enables the REST API to update the heartbeat when pulling data
Default: false
- right.trim.char.values
-
Whether char fields should be right trimmed
Default: false
- route.on.extract
-
Whether the routing job will start manually when a push or pull is started
Default: false
- routing.collect.stats.unrouted
-
Enable to collect unrouted data statistics into the stat tables for graphs.
Default: false
- routing.data.reader.into.memory.enabled
-
Router will read all unrouted data into memory, then perform sorting. Enable this option if sorting is expensive for the database to perform.
Default: false
- routing.data.reader.order.by.gap.id.enabled
-
Use the order by clause to order sym_data when selecting data for routing. Most databases order the data naturally and might even have better performance when the order by clause is left off.
Default: true
- routing.data.reader.threshold.gaps.to.use.greater.than.query
-
Select data to route from sym_data using a simple > start_gap_id query if the number of gaps in sym_data_gap are greater than the following number
Default: 0
- routing.detect.invalid.gaps
-
Run checks for duplicate, invalid range, overlapping, and large gaps while processing each gap. This can be used to log information and catch problems with gap detection, but it incurs additional overhead.
Default: true
- routing.flush.batches.jdbc.batch.size
-
JDBC batch size for sym_outgoing_batch
Default: 5000
- routing.flush.jdbc.batch.size
-
JDBC batch size for sym_data_event
Default: 50000
- routing.gaps.transaction.view.clock.sync.threshold
-
When using the earliest transaction time to expire gaps (routing.gaps.use.transaction.view=true), subtract the given number of milliseconds from the transaction time. This may be needed in a clustered environment where the time on each database master is not perfectly in sync.
Default: 10000
- routing.immediate.if.max.channel
-
Start routing again immediately when that last run of routing reached the max data to route for a channel.
Default: true
- routing.largest.gap.size
-
This is the maximum number of data that will be routed during one run. It should be a number that well exceeds the number rows that will be in a transaction.
Default: 50000000
- routing.log.stats.on.batch.error
-
Enable to collect routing statistics for each batch and log the statistics when a batch goes into error.
Default: false
- routing.max.gap.changes
-
This is the maximum number of changes that can be applied to the data_gap table. If the gap detection exceeds this number of changes, it will record the minimal gaps to the table and keep the rest in memory. This setting only applies to non-clustered systems.
Default: 200
- routing.max.gaps.to.qualify.in.sql
-
This is the number of gaps that will be included in the SQL that is used to select data from sym_data. If there are more gaps than this number, then the last gap will in the SQL will use the end id of the last gap.
Default: 100
- routing.peek.ahead.memory.threshold.percent
-
When reading data to route, if a lot of data has been committed in a single transaction, then the peek ahead queue size can cause out of memory errors. This setting instructs the routing reader to disperse with all "non" active transactions if the peek ahead queue grows to be a certain percentage of the overall allocated heap size.
Default: 50
- routing.peek.ahead.window.after.max.size
-
This is the maximum number of events that will be peeked at to look for additional transaction rows after the max batch size is reached. The more concurrency in your db and the longer the transaction takes the bigger this value might have to be.
Default: 2000
- routing.query.channels.first
-
Enable to query for which channels have data waiting, and then only route for those channels.
Default: true
- routing.stale.dataid.gap.time.ms
-
This is the time that any gaps in data_ids will be considered stale and skipped.
Default: 1200000
- routing.stale.gap.busy.expire.time.ms
-
For a busy system, how often to run checks on sym_data in order to expire gaps. Normally the routing reads all data and gap expiration can run without checking sym_data. But when the system is busy, then not all data is read, and gap expiration must query each gap from the sym_data table, which is expensive.
Default: 7200000
- routing.use.common.groups
-
Use common mode for groups of target nodes, regardless of channel configuration. A batch in common mode has only one data_event for each data row, and it extracts once for all nodes that receive it.
Default: true
- routing.use.non.common.for.incoming
-
When using common batch mode for groups (and sync on incoming enabled for table triggers), if a change comes from a remote node, then use non-common batches instead. When a server routes each incoming remote change back to all nodes minus the source node, there are as many common groups as nodes. As the number of nodes increases, the number of small batches increases, and it can be more efficient to use non-common mode for routing incoming remote changes into a small number of large batches.
Default: true
- routing.wait.for.data.timeout.seconds
-
null
Default: 330
- schema.version
-
This is hook to give the user a mechanism to indicate the schema version that is being synchronized.
Default: ?
- send.ack.keepalive.ms
-
After a push or pull HTTP connection has been idle for this many milliseconds, a small partial acknowledgement or partial batch is sent to keep the connection alive.
Default: 30000
- send.usage.stats
-
Send usage statistics to the SymmetricDS project to help improve the software.
Default: true
- server.engine.uri.interceptors
-
A comma-seperated list of custom interceptors which wrap URI handlers.
Default: com.jumpmind.symmetric.console.remote.RemoteStatusInterceptor
- smtp.allow.untrusted.cert
-
Whether or not to accept an untrusted certificate for SSL/TLS when connecting to the mail server.
Default: false
- smtp.auth
-
Whether or not to authenticate with the mail server.
Default: false
- smtp.from
-
The email address to use in the "from" header when sending email.
Default: symmetricds@localhost
- smtp.host
-
The hostname of the mail server
Default: localhost
- smtp.password
-
When authenticating with the mail server, the password to use.
Default:
- smtp.port
-
The port number of the mail server
Default: 25
- smtp.starttls
-
Whether or not to use TLS after connecting to the mail server.
Default: false
- smtp.transport
-
The transport type to use when connecting to mail server, either smtp or smtps.
Default: smtp
- smtp.user
-
When authenticating with the mail server, the username to use.
Default:
- snapshot.file.include.hostname
-
Prefix snapshot filename with hostname to indicate which environment it came from
Default: false
- snowflake.internal.stage.name
-
The snowflake managed stage name for internal storage
Default:
- snowflake.staging.type
-
The snowflake staging type to use for bulk loading Valid values : SNOWFLAKE_INTERNAL, AWS_S3, AZURE
Default:
- sql.explorer.auto.commit
-
Whether to auto commit sql executed in the sql explorer
Default: true
- sql.explorer.delimiter
-
Delimiter to use when executing sql
Default: ;
- sql.explorer.max.results
-
Max number of rows to pull back as part of a query
Default: 100
- sql.explorer.result.as.text
-
Show the results of a query in as text
Default: false
- sql.explorer.show.row.numbers
-
Show the row numbers in a table
Default: true
- start.offline.pull.job
-
Whether the offline pull job is enabled for this node.
Default: false
- start.offline.push.job
-
Whether the offline push job is enabled for this node.
Default: false
- start.sync.config.job
-
Whether the sync config job is enabled for this node. This job checks that the configuration version matches the software version, otherwise it will pull the latest configuration from the registration server.
Default: true
- stream.to.file.min.ttl.ms
-
If stream.to.file.enabled is false and staging is purged based on the database, then this is the minimum amount of time a staging file will be retained after it is purged from the database
Default: 1800000
- stream.to.file.purge.on.ttl.enabled
-
When this is set to false, then batches in the staging area will only be purged after they have been purged from the database. If this is set to true, then batches will be purged based on the stream.to.file.ttl.ms setting.
Default: false
- stream.to.file.threshold.bytes
-
If stream.to.file.enabled is true, then the threshold number of bytes at which a file will be written is controlled by this property. Note that for a synchronization the entire payload of the synchronization will be buffered in memory up to this number (at which point it will be written and continue to stream to disk.)
Default: 0
- stream.to.file.ttl.ms
-
If stream.to.file.enabled is true, then this is how long a file will be retained in the staging directory after it has been marked as done.
Default: 3600000
- sync.triggers.thread.count.per.server
-
Number of threads to use for creating triggers and removing old ones.
Default: 1
- tibero.bulk.load.field.terminator
-
Specify the field terminator used by the Tibero tbLoader. Pick something that does not exist in the data in your database.
Default: |}
- tibero.bulk.load.line.terminator
-
Specify the line terminator used by the Tibero tbLoader. Pick something that does not exist in the data in your database.
Default: |>
- time.between.ack.retries.ms
-
This is the amount of time to wait between trying to send an ACK back to the remote node when pulling and loading data.
Default: 5000
- topbar.system.text
-
System identification text shown in top bar in right corner
Default:
- transport.max.bytes.to.sync
-
This is the number of maximum number of bytes to synchronize in one connect.
Default: 104857600
- transport.max.error.millis
-
Networks errors will be logged at INFO level since they are retried. After the maximum number of millis for network errors that continue in succession, the logging switches to WARN level.
Default: 300000
- trigger.capture.ddl.changes
-
Feature to install a DDL trigger to capture any schema changes, including tables, views, triggers, functions, and stored procedures, which are synced to all nodes on configured group links. Supported on MS SQL-Server only.
Default: false
- trigger.create.before.initial.load.enabled
-
Disable this property to prevent table triggers from being created before initial load has completed.
Default: true
- trigger.update.capture.changed.data.only.enabled
-
Enable this property to force a compare of old and new data in triggers. If old=new, then don’t record the change in the data capture table. This is currently supported by the following dialects: mysql, oracle, db2, postgres, sql server
Default: false
- web.compression.disabled
-
Disable compression from occurring on Servlet communication. This property only affects the outbound HTTP traffic streamed by the PullServlet and PushServlet.
Default: false
B.3. Server Configuration
Server configuration is read from conf/symmetric-server.conf for settings needed by the server before the parameter system has been initialized.
- host.bind.name
-
Specify the hostname/IP address to bind to. (Default 0.0.0.0 will bind to all interfaces.)
Default: 0.0.0.0
- http.enable
-
Enable synchronization over HTTP.
Default: true
- http.port
-
Port number for synchronization over HTTP.
Default: 31415
- https.allow.self.signed.certs
-
Use a trust manager that allows self-signed server SSL certificates.
Default: true
- https.enable
-
Enable synchronization over HTTPS (HTTP over SSL).
Default: false
- https.port
-
Port number for synchronization over HTTPS (HTTP over SSL).
Default: 31417
- https.verified.server.names
-
List host names that are allowed for server SSL certificates.
Default: all
- jmx.http.enable
-
Enable Java Management Extensions (JMX) web console.
Default: true
- jmx.http.port
-
Port number for Java Management Extensions (JMX) web console.
Default: 31416
- server.http.cookies.enabled
-
Accept cookies if load balancer requires it for clustering
Default: false
Appendix C: Database Notes
This section describes specific settings and notes for using each supported database platform.
C.1. Compatibility
Each database management system has its own characteristics that results in feature coverage in SymmetricDS. The following table shows which features are available by database.
Database | Versions | Transaction Identifier | Data Capture | Conditional Sync | Update Loop Prevention | BLOB Sync | CLOB Sync | Transactional DDL | Load Only |
---|---|---|---|---|---|---|---|---|---|
Big Query |
All |
N |
N |
N |
Y |
N |
N |
N |
Y |
DB2 |
9.5 |
N |
Y |
Y |
Y |
Y |
Y |
Y |
N |
DB2 |
10,11 |
Y |
Y |
Y |
Y |
Y |
Y |
Y |
N |
DB2 for IBM i |
6 |
N |
Y |
Y |
N |
Y |
Y |
N |
N |
DB2 for IBM z/OS |
10 |
N |
Y |
Y |
N |
Y |
Y |
N |
N |
Derby |
10.3.2.1 |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
Firebird |
2.0 |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
Greenplum |
8.2.15 and above |
N |
N |
N |
Y |
N |
N |
N |
N |
H2 |
1.x |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
HSQLDB |
1.8 |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
HSQLDB |
2.0 |
N |
Y |
Y |
Y |
Y |
Y |
N |
N |
Informix |
11 |
N |
Y |
Y |
Y |
N |
N |
N |
N |
Interbase |
9.0 |
N |
Y |
Y |
Y |
Y |
Y |
N |
N |
MySQL |
5.0.2 and above |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
MariaDB |
5.1 and above |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
NuoDB |
2.6 and above |
Y |
Y |
Y |
Y |
N |
Y |
N |
N |
Oracle |
10g and above |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
PostgreSQL |
8.2.5 and above |
Y (8.3 and above only) |
Y |
Y |
Y |
Y |
Y |
Y |
N |
Redshift |
1.0 |
N |
N |
N |
Y |
N |
N |
N |
N |
SQL Anywhere |
9 |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
SQL Server |
2005 and above |
Y |
Y |
Y |
Y |
Y |
Y |
Y |
N |
SQL Server Azure |
Tested on 11.00.2065 |
Y |
Y |
Y |
Y |
Y |
N |
N |
N |
SQLite |
3.x |
N |
Y |
Y |
Y |
Y |
Y |
N |
N |
Sybase ASE |
12.5 |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
Teradata |
15.10 and above |
Y |
Y |
Y |
N |
N |
N |
N |
Y |
Tibero |
6 and above |
Y |
Y |
Y |
Y |
Y |
Y |
N |
N |
- Transaction Identifier
-
A transaction identifier is recorded in the SYM_DATA table along with changes, which allows changes in the same transaction to be grouped together for commit within a batch.
- Data Capture
-
Changes to tables can be captured using database triggers.
- Conditional Sync
-
Conditions can be specified on SYM_TRIGGER, which are compiled into the trigger to decide if a change should be captured.
- Update Loop Prevention
-
The remote node is recorded on data that is captured, so the system can prevent the changes from being sent back to the same node.
- BLOB Sync
-
Binary large object data can be captured or streamed from the database.
- CLOB Sync
-
Character large object data can be captured or streamed from the database.
C.2. Catalog and Schema
A relational database may be divided into catalogs that contain sub-databases called schemas, which contain tables. Each database management system can implement the concepts of catalog and schema differently or not at all. When locating a table, SymmetricDS uses the default catalog and schema unless the user specifies one.
Database | Version | Catalog Support | Catalog Default | Schema Support | Schema Default |
---|---|---|---|---|---|
DB2 |
N |
Y |
values current schema |
||
Derby |
N |
Y |
values current schema |
||
Firebird |
N |
N |
|||
Greenplum |
N |
Y |
select current_schema() |
||
H2 |
Y |
select database() |
Y |
select schema() |
|
HSQLDB |
1.0 |
N |
N |
||
HSQLDB |
2.0 |
Y |
select value from information_schema.system_sessioninfo where key = 'CURRENT SCHEMA' |
Y |
select value from information_schema.system_sessioninfo where key = 'CURRENT SCHEMA' |
Informix |
N |
Y |
select trim(user) from sysmaster:sysdual |
||
Interbase |
N |
N |
|||
MySQL |
Y |
select database() |
N |
||
MariaDB |
Y |
select database() |
N |
||
NuoDB |
N |
Y |
select current_schema from system.dual |
||
Oracle |
N |
Y |
select sys_context('USERENV', 'CURRENT_SCHEMA') from dual |
||
PostgreSQL |
N |
Y |
select current_schema() |
||
SQL Anywhere |
Y |
select db_name() |
Y |
select user_name() |
|
SQL Server |
2000 |
Y |
select db_name() |
Y |
select 'dbo' |
SQL Server |
2005+ |
Y |
select db_name() |
Y |
select schema_name() |
SQL Server |
Y |
select db_name() |
Y |
select schema_name() |
|
SQL Server Azure |
Y |
select db_name() |
Y |
select schema_name() |
|
SQLite |
N |
N |
|||
Sybase ASE |
Y |
select db_name() |
Y |
select user_name() |
|
Redshift |
N |
Y |
select current_schema() |
||
Tibero |
N |
Y |
select sys_context('USERENV', 'CURRENT_SCHEMA') from dual |
C.3. Google Big Query
Send changes from your relational database to Google’s Big Query.
C.3.1. Setup
Big Query is only supported as a load only node in SymmetricDS. See Load Only Node for details on setting up a load only node in SymmetricDS.
Setup the Big Query node by using the Add Node wizard and selecting Big Query as the type.
After hitting next you can setup advanced options for your Snowflake node.
C.3.2. Loading Data Into Big Query
Big Query Authentication
Create a JSON credentials file through your Big Query account
Provide this file path on the advanced settings while setting up a Big Query node. The advanced settings also requires that you provide a project ID and location for your Big Query project.
You will need to use your Google Big Query dataset name in the target schema of the router that is used to route data to Big Query. |
C.4. DB2
The IBM DB2 Dialect uses global variables to enable and disable node and trigger synchronization. These variables are created automatically during the first startup. The DB2 JDBC driver should be placed in the "lib" folder.
Currently, the DB2 Dialect for SymmetricDS does not provide support for transactional synchronization. Large objects (LOB) are supported, but are limited to 16,336 bytes in size. The current features in the DB2 Dialect have been tested using DB2 9.5 on Linux and Windows operating systems.
There is currently a bug with the retrieval of auto increment columns with the DB2 9.5 JDBC drivers that causes some of the SymmetricDS configuration tables to be rebuilt when auto.config.database=true. The DB2 9.7 JDBC drivers seem to have fixed the issue. They may be used with the 9.5 database.
A system temporary tablespace with too small of a page size may cause the following trigger build errors:
SQL1424N Too many references to transition variables and transition table columns or the row length for these references is too long. Reason code="2". LINE NUMBER=1. SQLSTATE=54040
Simply create a system temporary tablespace that has a bigger page size. A page size of 8k will probably suffice.
CREATE BUFFERPOOL tmp_bp PAGESIZE 8k;
CREATE SYSTEM TEMPORARY TABLESPACE tmp_tbsp
PAGESIZE 8K
MANAGED BY SYSTEM
USING ('/home/db2inst1/tmp_tbsp')
BUFFERPOOL tmp_bp
Data Type | Supported? |
---|---|
Char, VarChar, Long VarChar |
Yes |
Graphic, VarGraphic, Long VarGraphic |
Yes |
SmallInt, Integer, BigInt |
Yes |
Double |
Yes |
Decimal |
Yes |
Date, Time, TimeStamp |
Yes |
Blob, Clob, DBClob |
Yes |
DecFloat |
No |
Binary, VarBinary |
No |
By default DB2 will not capture the transaction id associated with the captured data. This can be turned on with the following parameter.
db2.capture.transaction.id=false
C.5. DB2 for IBM i
The DB2 for IBM i dialect can connect to a database on IBM iSeries (AS/400) machines. It was tested with the jt400 JDBC driver, which is already included in the SymmetricDS download. Here is an example JDBC URL:
jdbc:as400://hostname/myschema
The "libraries" parameter may be used in some cases to resolve unqualified object names:
jdbc:as400://hostname/;libraries=myschema
The tables created by SymmetricDS must have journaling enabled for commitment control. |
C.5.1. Auto Journaling
The SymmetricDS library will be automatically journaled if it is created using the CREATE SCHEMA
or CREATE COLLECTION
SQL commands.
Otherwise, journaling can be enabled for new tables automatically by creating a default journal named QSQJRN
in the library.
The following steps add automatic journaling to the "sym" library (change it to your library) using the OS/400 command line:
-
Create the journal receiver object:
CRTJRNRCV JRNRCV(sym/symjrnrcv)
-
Create the journal object:
CRTJRN JRN(sym/QSQJRN) JRNRCV(sym/symjrnrcv)
C.5.2. Manual Journaling
Using automatic journaling for the SymmetricDS library is the preferred method, but journaling can also be enabled for each table manually. After starting SymmetricDS for the first time, it will connect to the database and create the required tables. Then it will log an error message that journaling needs to be enabled for its tables. The following steps add journaling to the "sym" library (change it to your library) using the OS/400 command line:
-
Create a journal receiver object:
CRTJRNRCV JRNRCV(sym/symjrnrcv)
-
Create a journal object:
CRTJRN JRN(sym/symjrn) JRNRCV(sym/symjrnrcv)
-
Start journaling:
STRJRNPF FILE(sym/SYM_C00001) JRN(sym/symjrn)
This step needs to be repeated for each physical file (table) created by SymmetricDS. A single command can be run for all tables at once, like this:
CALL QCMD <hit F11 for more lines> STRJRNPF FILE(sym/SYM_C00001 sym/SYM_C00002 sym/SYM_C00003 sym/SYM_C00004 sym/SYM_C00005 sym/SYM_C00006 sym/SYM_D00001 sym/SYM_D00002 sym/SYM_DATA sym/SYM_E00001 sym/SYM_E00002 sym/SYM_F00001 sym/SYM_F00002 sym/SYM_F00003 sym/SYM_F00004 sym/SYM_G00001 sym/SYM_G00002 sym/SYM_I00005 sym/SYM_I00008 sym/SYM_L00001 sym/SYM_LOCK sym/SYM_M00001 sym/SYM_M00002 sym/SYM_N00001 sym/SYM_N00002 sym/SYM_N00003 sym/SYM_N00004 sym/SYM_N00005 sym/SYM_N00006 sym/SYM_N00007 sym/SYM_N00008 sym/SYM_N00009 sym/SYM_N00010 sym/SYM_N00011 sym/SYM_N00012 sym/SYM_NODE sym/SYM_O00001 sym/SYM_P00001 sym/SYM_R00001 sym/SYM_R00002 sym/SYM_ROUTER sym/SYM_S00001 sym/SYM_T00001 sym/SYM_T00002 sym/SYM_T00003 sym/SYM_T00004 sym/SYM_T00005 sym/SYM_T00006 sym/SYM_T00007) JRN(sym/symjrn)
Data Type | Supported? |
---|---|
Char, VarChar, Long VarChar |
Yes |
Graphic, VarGraphic, Long VarGraphic |
Yes |
SmallInt, Integer, BigInt |
Yes |
Double |
Yes |
Decimal |
Yes |
Date, Time, TimeStamp |
Yes |
Blob, Clob, DBClob |
Yes |
DecFloat |
No |
Binary, VarBinary |
No |
C.6. Derby
The Apache Derby database can be run as an embedded database that is accessed by an application or a standalone server that can be accessed from the network. This dialect implementation creates database triggers that make method calls into Java classes. This means that the supporting JAR files need to be in the classpath when running Derby as a standalone database, which includes symmetric-ds.jar and commons-lang.jar.
C.7. Firebird
The Firebird Dialect may require the installation of a User Defined Function (UDF) library in order to provide functionality needed by the database triggers. SymmetricDS includes the required UDF library, called SYM_UDF, in both source form (as a C program) and as pre-compiled libraries for both Windows and Linux. For Firebird 2.0 and earlier, the UDF is needed for capturing character and BLOB types, so the dialect will not allow startup if the UDF is missing. For Firebird 2.1 and later, the UDF is only needed for capturing BLOB types, so installation may not be necessary and the dialect does not check for it.
The SYM_UDF library is copied into the UDF folder within the Firebird installation directory. For Linux users:
cp databases/firebird/sym_udf.so /opt/firebird/UDF
For Windows users:
copy databases\firebird\sym_udf.dll C:\Program Files\Firebird\Firebird_2_0\UDF
The following limitations currently exist for this dialect:
-
The outgoing batch does not honor the channel size, and all outstanding data events are included in a batch.
-
Syncing of Binary Large Object (BLOB) is limited to 16KB per column.
-
Syncing of character data is limited to 32KB per column. The overall row size of a resultset cannot exceed 64KB. For change capture, the row_data and old_data are limited to 10KB and and the pk_data is limited to 500 bytes for performance reasons. If you get the error of "arithmetic exception, numeric overflow, or string truncation" during extraction of a batch, set the contains_big_lob to true for the channel.
Firebird 3 is supported, however legacy authentication must be enabled in order to connect. Please refer to the Firebird 3.0 documentation for instructions on enabling this feature.
Data Type | Supported? |
---|---|
SmallInt |
Yes |
Integer |
Yes |
BigInt |
Yes |
Char |
Yes |
VarChar |
Yes |
Float |
Yes |
Decimal |
Yes |
Numeric |
Yes |
Double Precision |
Yes |
Date |
Yes |
Time |
Yes |
TimeStamp |
Yes |
Blob |
No |
C.8. Greenplum
Greenplum is a data warehouse based on PostgreSQL. It is supported as a target platform in SymmetricDS.
SymmetricDS has bulk loading capability available for Greenplum. SymmetricDS specifies data loader types on a channel by channel basis. To utilize Greenplum Bulk loading versus straight JDBC insert, specify the Postgres Bulk Loader ("postgres_bulk") in the data_loader_type column of sym_channel.
C.9. H2
The H2 database allows only Java-based triggers. Therefore the H2 dialect requires that the SymmetricDS jar file be in the database’s classpath.
Data Type | Supported? |
---|---|
Int, TinyInt, SmallInt, BigInt |
Yes |
Boolean |
Yes |
Decimal |
Yes |
Double, Real |
Yes |
Time, Date, Timestamp |
Yes |
Binary, Blob |
Yes |
C.10. HBase
C.10.1. Empty HBase
If you are setting up replication to HBase and the tables are not already present in Hbase SymmetricDS can create them through the phoenix JDBC driver. This driver maintains some additional meta data about the tables so that they can be accessed using SQL through the JDBC driver.
This configuration is setup as a Load Only Node in SymmetricDS. It does require the phoenix jdbc driver though to utilize it. This driver should be downloaded and placed in the /lib folder of SymmetricDS and restarted.
C.10.2. Existing HBase
If you are setting up replication to an HBase database that already has tables present you will need to follow the steps below.
Setup a new H2 node that will contain all the SymmetricDS runtime tables. To do this go through the Add Node setup and select type H2 and provide a name for the database (it will create a new one locally if not present). This will allow SymmetricDS to create tables such as incoming_batch etc to maintain the replication.
Next you will need to setup a channel (or use the default channel) and set the data_loader_type
to hbase.
Finally setup a parameter that contains the path of your hbase-site.xml file.
hbase.site.xml.path
All changes captured will now use the HBase data loader to load into an existing HBase table.
C.11. HSQLDB
HSQLDB was implemented with the intention that the database be run embedded in the same JVM process as SymmetricDS. Instead of dynamically generating static SQL-based triggers like the other databases, HSQLDB triggers are Java classes that re-use existing SymmetricDS services to read the configuration and insert data events accordingly.
The transaction identifier support is based on SQL events that happen in a 'window' of time. The trigger(s) track when the last trigger fired. If a trigger fired within X milliseconds of the previous firing, then the current event gets the same transaction identifier as the last. If the time window has passed, then a new transaction identifier is generated.
C.12. Apache Ignite
Since SymmetricDS is trigger based and there are not triggers in Apache Ignite, data can only be loaded to an Apache Ignite instance. The runtime SymmetricDS tables will also need to be installed in a full relational database to support integration with Apache Ignite.
See Load Only Node for more details on the general concepts of a load only node. |
The following steps explain how to configure a SymmetricDS instance using Apache Ignite as a destination node:
-
Configure and start an Apache Ignite cluster.
-
Copy the Apache Ignite JDBC driver (ignite-core-VERSION.jar) to the "lib" directory of the SymmetricDS installation.
-
Start SymmetricDS and configure a master node with the desired source database.
-
Configure the desired node groups, group links, and routers.
-
Create a target node and database that will contain the SymmetricDS runtime tables for the Apache Ignite instance.
The simplest solution to support Ignite is to add a new node (see Add Node) that is connected to an H2 database to store all the SYM_* runtime tables. |
-
Stop your SymmetricDS instance and edit the .properties file for the target node in the engines directory of the SymmetricDS installation.
-
Set the following properties in the engine file:
load.only=true
target.db.url=jdbc:ignite:thin://localhost
target.db.driver=org.apache.ignite.IgniteJdbcThinDriver
target.db.user=
target.db.password=
target.create.table.not.null.columns.supported=false
-
Update the jdbc url, username, and password to the desired Apache Ignite instance.
-
Restart SymmetricDS.
-
Create Table Triggers and Table Routers for the desired source tables to sync.
Keep in mind that SymmetricDS currently only supports syncing to the "PUBLIC" schema of an Apache Ignite instance. |
-
(Optional) Perform an initial load from the source to the target node and/or send the table definitions to the Apache Ignite instance.
C.13. Informix
The Informix Dialect was tested against Informix Dynamic Server 11.50, but older versions may also work. You need to download the Informix JDBC Driver (from the IBM Download Site) and put the ifxjdbc.jar and ifxlang.jar files in the SymmetricDS lib folder.
SymmetricDS requires the db space to have at least a 4k page size.
Make sure your database has logging enabled, which enables transaction support. Enable logging when creating the database, like this:
CREATE DATABASE MYDB WITH LOG;
Or enable logging on an existing database, like this:
ondblog mydb unbuf log ontape -s -L 0
The following features are not yet implemented:
-
Syncing of Binary and Character Large Objects (LOB) is disabled.
-
There is no transaction ID recorded on data captured, so it is possible for data to be committed within different transactions on the target database. If transaction synchronization is required, either specify a custom transaction ID or configure the synchronization so data is always sent in a single batch. A custom transaction ID can be specified with the tx_id_expression on TRIGGER. The batch size is controlled with the max_batch_size on CHANNEL. The pull and push jobs have runtime properties to control their interval.
C.14. Interbase
The Interbase Dialect requires the installation of a User Defined Function (UDF) library in order to provide functionality needed by the database triggers. SymmetricDS includes the required UDF library, called SYM_UDF, in both source form (as a C program) and as pre-compiled libraries for both Windows and Linux. The SYM_UDF library is copied into the UDF folder within the Interbase installation directory.
For Linux users:
cp databases/interbase/sym_udf.so /opt/interbase/UDF
For Windows users:
copy databases\interbase\sym_udf.dll C:\CodeGear\InterBase\UDF
The Interbase dialect currently has the following limitations:
-
Data capture is limited to 4 KB per row, including large objects (LOB).
-
There is no transaction ID recorded on data captured. Either specify a tx_id_expression on the TRIGGER table, or set a max_batch_size on the CHANNEL table that will accommodate your transactional data.
C.15. Kafka
Send changes from your relational database to Kafka in a variety of formats. A Kafka node can be setup as a Load Only Node to receive changes from another node that is capturing changes.
Setup the Kafka node by using the Add Node wizard and selecting Kafka as the type. The URL will be the connection point to Kafka. User and password are not needed (or used).
After hitting next you can setup advanced options for your Kafka node.
C.15.1. Output Message Format
kafka.format=JSON|XML|AVRO|CSV
JSON |
Json formatted output message |
{
"table name": {
"eventType": "INSERT|UPDATE|DELETE",
"data": {
"column name": "value",....
}
}
}
- XML
-
Xml formatted output message
<row entity="table name" dml="INSERT|UPDATE|DELETE">
<data key="column name">value</data>
...
</row>
- AVRO
-
Apache Avro output message (Avro Schema Below)
{
"type": "record",
"name": "cdc",
"fields": [
{
"name": "table",
"type": "string"
},
{
"name": "eventType",
"type": "string"
},
{
"name": "data",
"type": {
"type": "array",
"items": {
"name": "column",
"type": "record",
"fields": [
{
"name": "name",
"type": "string"
},
{
"name": "value",
"type": [
"null",
"string"
]
}
]
}
}
}
]
}
- CSV
-
CSV formatted output message
TABLE,table name,EVENT,INSERT|UPDATE|DELETE,column name,value, ...
C.15.2. Setting the Topic
kafka.topic.by=CHANNEL|TABLE
CHANNEL |
This will send to a topic based on the channel of the batch that is being sent. |
TABLE |
This will send to a topic based on the table name of the change. |
C.15.3. Setting Messages By
kafka.message.by=BATCH|ROW
BATCH |
This will send one message for each batch containing all changes. |
ROW |
This will send one messsage for each change captured. |
C.15.4. Setting The Producer
kafka.producer=myapplication
Provide a value for the producer of the message.
C.15.5. Using a Confluent AVRO Schema Registry
The message format must be AVRO for this option to work. |
kafka.confluent.registry.url
kafka.avro.java.package
The jar file containing the AVRO generated POJO java beans must be placed in the /lib or /patches folder of SymmetricDS and then a restart is required. |
C.15.6. Using Authentication
Any engine property prefixed with kafkaclient
will be passed through to the Kafka client producer.
Here is an example of authentication over SSL.
kafkaclient.security.protocol=SASL_SSL kafkaclient.sasl.mechanism=PLAIN kafkaclient.sasl.jaas.config=org.apache.kafka.common.security.plain.PlainLoginModule required username="myuser" password="mypassword";
C.16. MariaDB
See MySQL notes. You can use either the MySQL or MariaDB driver for this dialect.
Data Type | Supported? |
---|---|
TinyInt, SmallInt, MediumInt, Int, BigInt |
Yes |
Decimal, Numeric |
Yes |
Float, Double |
Yes |
Bit |
Yes |
Char, Varchar |
Yes |
Binary, VarBinary |
Yes |
TinyBlob |
No |
Blob, MediumBlob, Longblob |
Yes |
TinyText, Text, MediumText, LongText |
Yes |
Enum |
No |
Set |
No |
Date, Time, DateTime, TimeStamp, Year |
Yes |
Point, LineString, Polygon, MultiPoint, MultiLinestring, MultiPolygon, GeometryCollection, Geometry |
No |
C.17. MongoDB
Since SymmetricDS is trigger based and there are not triggers in MongoDB data can only synchronized to a MongoDB instance. The runtime SymmetricDS tables will also need to be installed in a full relational database to support integration with MongoDB.
The simplest solution to support MongoDB is to add a new node (see Add Node) that is connected to an H2 database to store all the SYM_* runtime tables. |
The MongoDB data loader maps relational database rows to MongoDB documents in collections. To use the preconfigured MongoDB data loader,
you set the data_loader_type
to MongoDB on a channel.
Tables that should be synchronized to MongoDB should be configured to use this channel.
In order to point it to a MongoDB instance set the following properties in the engines properties file.
mongodb.username=xxxx
mongodb.password=xxxx
mongodb.host=xxxx
mongodb.port=xxxx
mongodb.default.databasename=default
mongodb.url=
By default, the catalog or schema passed by SymmetricDS will be used for the MongoDB database name. The table passed by SymmetricDS will be used as the MongoDB collection name. If the catalog or schema are not set, the default database name property is used as the database name.
The _id of the MongoDB document will be the primary key of the database record. If the table has a composite primary key, then the _id will be an embedded document that has name value pairs of the composite key. The body of the document will be name value pairs of the table column name and table row value.
SymmetricDS uses the MongoDB Java Driver to upsert documents.
SymmetricDS transforms can be used to transform the data. If a complex mapping is required that is not supported by transforms, then
the IDBObjectMapper can be implemented and a new MongoDataLoaderFactory can be wired up
as an extension point.
|
C.17.1. Shared Clusters
Use the mongodb.url parameter to connect to a shared cluster in Mongo.
mongodb.url=mongodb://host1:27017,host2:27017
C.18. SQL Server
Microsoft SQL Server was tested using the jTDS JDBC driver.
SQL Server allows the update of primary key fields via the SQL update statement. If your application allows updating of the primary key field(s) for a table, and you want those updates synchronized, you will need to set the "Handle Key Updates" field on the trigger record for that specific table. The default for Handle Key Updates is false.
SymmetricDS expects a row count to be returned for data manipulation statements, which is the default setting for most server. However, if the NOCOUNT option is ON for SQL-Server, SymmetricDS will not behave correctly. The NOCOUNT setting can be checked with "select case when (512 & @@OPTIONS) = 512 then 'on' else 'off' end". If you’re unable to change NOCOUNT for the server, the "db.init.sql" parameter can be set to "SET NOCOUNT OFF" in the engine properties file.
Connections are pooled and expected to be in the database context like a new connection, so avoid using the "USE database" Transact-SQL statement in extension code.
If SQL Server is configured with a default collation that does NOT support unicode then we have experienced bad performance for update and delete statements when a table has character based primary keys. This is because statements are prepared for a unicode type and as a result the indexes are not used. You can turn this functionality off in JTDS by appending the following to your db.url: ;sendStringParametersAsUnicode=false
C.18.1. SQL Server Permissions
SymmetricDS can be configured to work with a variety SQL Server configurations. It is possible to install SymmetricDS in the same database and schema with the same user account your application runs. However you can also set it up to run in its own database with a designated user. Whichever configuration you choose below are the permissions required for SymmetricDS to run.
Symmetric User |
Application User |
|
Symmetric Database |
CREATE TABLE, CREATE FUNCTION, REFERENCES |
INSERT, EXECUTE |
Symmetric Schema |
ALTER, SELECT, INSERT, UPDATE, DELETE |
|
Application Database |
SELECT, ALTER |
Replace the following variables with your desired values.
SYM_USER |
The SymmetricDS user |
SYM_DATABASE |
The database the SymmetricDS runtime tables will be installed in |
APP_DATABASE |
The application database where sync data resides |
APP_USER |
The application database user account that the application uses when making changes to the data. |
-- SymmetricDS User
CREATE LOGIN SYM_USER
WITH PASSWORD = 'SYM_USER';
GO
use SYM_DATABASE;
GO
CREATE USER SYM_USER FOR LOGIN SYM_USER;
GO
GRANT CREATE TABLE ON DATABASE::SYM_DATABASE to SYM_USER;
GRANT CREATE FUNCTION ON DATABASE::SYM_DATABASE to SYM_USER;
GRANT REFERENCES ON DATABASE::SYM_DATABASE to SYM_USER;
GRANT ALTER, SELECT, INSERT, DELETE, UPDATE ON SCHEMA::dbo TO SYM_USER;
GO
use APP_DATABASE;
CREATE USER SYM_USER FOR LOGIN SYM_USER
GRANT SELECT, ALTER ON DATABASE::APP_DATABASE to SYM_USER;
-- Application User
CREATE LOGIN APP_USER
WITH PASSWORD = 'APP_USER';
GO
use APP_DATABASE;
GO
CREATE USER APP_USER FOR LOGIN APP_USER
GO
GRANT SELECT, INSERT, DELETE, UPDATE ON SCHEMA::dbo TO APP_USER;
GO
use SYM_DATABASE;
CREATE USER APP_USER FOR LOGIN APP_USER
GRANT INSERT, EXECUTE ON DATABASE::SYM_DATABASE to APP_USER;
Data Type | Supported? |
---|---|
BigInt, Int, SmallInt, TinyInt |
Yes |
Decimal, Numeric |
Yes |
Bit |
Yes |
Money, SmallMoney |
Yes |
Float, Real |
Yes |
Date, DateTime, Datetime2, SmallDatetime, Time |
Yes |
Datetimeoffset |
No |
Char, Varchar, Text, Nchar, Nvarchar, Ntext |
Yes |
Binary, Varbinary |
Yes |
Image |
Yes |
Spatial Data Types |
No |
C.19. MySQL
MySQL supports several storage engines for different table types. However, SymmetricDS requires a storage engine that handles transactions. The recommended storage engine is InnoDB, which is included by default in MySQL 5.0 distributions. Either select the InnoDB engine during installation or modify your server configuration. To make InnoDB the default storage engine, modify your MySQL server configuration file (my.ini on Windows, my.cnf on Unix):
default-storage_engine = innodb
Alternatively, you can convert tables to the InnoDB storage engine with the following command:
alter table t engine = innodb;
On MySQL 5.0, the SymmetricDS user needs the SUPER privilege in order to create triggers.
grant super on *.* to symmetric;
On MySQL 5.1, the SymmetricDS user needs the TRIGGER, PROCESS, and CREATE ROUTINE privileges in order to create triggers and functions.
grant trigger on *.* to symmetric; grant create routine on *.* to symmetric; grant alter routine on *.* to symmetric; grant process on *.* to symmetric;
Starting in MySQL 5.7.6, the "PROCESS" privilege is also required for the MySQL user that is modifying the application tables. This is required to look up the transaction id. Internally, the trigger will submit this query during an insert/update/delete:
select TRX_ID from INFORMATION_SCHEMA.INNODB_TRX where TRX_MYSQL_THREAD_ID = CONNECTION_ID();
grant process on *.* to db_user;
MySQL allows '0000-00-00 00:00:00' to be entered as a value for datetime and timestamp columns. JDBC cannot deal with a date value with a year of 0. In order to work around this SymmetricDS can be configured to treat date and time columns as varchar columns for data capture and data load. To enable this feature set the db.treat.date.time.as.varchar.enabled property to true.
If you are using UTF-8 encoding in the database, you might consider using the characterEncoding parameter in the JDBC URL.
jdbc:mysql://hostname/databasename?tinyInt1isBit=false&characterEncoding=utf8
If you are using Amazon Web Services to run the MySQL instance, Amazon by default uses binary log replication and disables the creation of triggers. In order to allow SymmetricDS to function correctly, the parameter 'log_bin_trust_function_creators' needs to be set to a value of '1'. You can set this value by logging into the database as root and enter the following command:
mysql -u USERNAME -p set global log_bin_trust_function_creators=1;
If you can not log into the server as root, then you can set the parameter in a new parameter group on the Relational Database Services (RDS) web console. See the documentation from RDS for details.
Data Type | Supported? |
---|---|
TinyInt, SmallInt, Int, MediumInt, BigInt |
Yes |
Decimal, Numeric |
Yes |
Float, Double |
Yes |
Bit |
Yes |
Date, DateTime, TimeStamp, Time, Year |
Yes |
Char, Varchar |
Yes |
Binary, VarBinary |
Yes |
TinyBlob, Blob, MediumBlob, BigBlob |
Yes |
TinyText, Text, MediumText, BigText |
Yes |
Enum |
No |
Set |
No |
Geometry, Point, LineString, Polygon, GeometryCollection, MultiPoint, MultiLinestring, MultiPolygon |
No |
C.20. Oracle
This section describes Oracle specific SymmetricDS details.
C.20.1. Database Permissions
The SymmetricDS database user generally needs privileges for connecting and creating tables (including indexes), triggers, sequences, and procedures (including packages and functions). For change data capture, use the following permissions:
GRANT CONNECT TO SYMMETRIC;
GRANT RESOURCE TO SYMMETRIC;
GRANT CREATE ANY TRIGGER TO SYMMETRIC;
GRANT EXECUTE ON UTL_RAW TO SYMMETRIC;
When using Log Miner instead of triggers, the SYSDBA should put the database into archive log mode:
shutdown immediate;
startup mount;
alter database archivelog;
alter database open;
alter database add supplemental log data (all) columns;
If using Oracle 11g without CDB, use the following permissions:
grant create session, alter session, select any dictionary, execute_catalog_role to symmetric;
If using Oracle 12c without CDB, use the following permissions:
grant create session, alter session, select any dictionary, execute_catalog_role, logmining to symmetric;
If using Oracle 12c with PDB, use the following permissions:
grant create session, alter session, set container, select any dictionary, logmining, execute_catalog_role to c##symmetric CONTAINER=all;
alter user c##symmetric set container_data = (cdb$root, <PDB name>) container=current;
C.20.2. Known Limitations
-
The LONG data type is not supported with change capture, since LONG columns cannot be accessed from triggers. The data in LONG columns can still be kept in sync by enabling the use_stream_lobs feature in TRIGGER.
-
The global precision of numeric columns is controlled by the oracle.template.precision parameter. It defaults to a precision of 30,10
-
With the default settings a database row cannot exceed 4k. If the error
'ORA-01489: result of string concatenation is too long'
occurs then setuse_capture_lobs
to 1 in the TRIGGER table andcontains_big_lobs
to 1 on the assigned CHANNEL. Triggers will need to be synchronized. By enablinguse_capture_lobs
, the concatenated varchar string is cast to a clob which allows a length of more than 4k. By enablingcontains_big_lobs
, the extraction of sym_data is cast to a clob which prevents truncation at 4k. There is overhead for both of these settings -
When multiple triggers are defined on the same table, then the order in which the triggers occur appears to be arbitrary
C.20.3. Bulk Loader
SymmetricDS has bulk loading capability available for Oracle. SymmetricDS specifies data loader types on a channel by channel basis. To utilize Oracle Bulk loading versus straight JDBC insert, specify the Oracle Bulk Loader ("bulk") in the data_loader_type column of sym_channel.
C.20.4. Optional - Partitioning
Partitioning the DATA table by channel can help insert, routing and extraction performance on concurrent, high throughput systems. TRIGGERs should be organized to put data that is expected to be inserted concurrently on separate CHANNELs. The following is an example of partitioning. Note that both the table and the index should be partitioned. The default value allows for more channels to be added without having to modify the partitions.
CREATE TABLE SYM_DATA
(
data_id INTEGER NOT NULL ,
table_name VARCHAR2(50) NOT NULL,
event_type CHAR(1) NOT NULL,
row_data CLOB,
pk_data CLOB,
old_data CLOB,
trigger_hist_id INTEGER NOT NULL,
channel_id VARCHAR2(20),
transaction_id VARCHAR2(1000),
source_node_id VARCHAR2(50),
external_data VARCHAR2(50),
create_time TIMESTAMP
) PARTITION BY LIST (channel_id) (
PARTITION P_CONFIG VALUES ('config'),
PARTITION P_CHANNEL_ONE VALUES ('channel_one'),
PARTITION P_CHANNEL_TWO VALUES ('channel_two'),
...
PARTITION P_CHANNEL_N VALUES ('channel_n'),
PARTITION P_DEFAULT VALUES (DEFAULT));
CREATE UNIQUE INDEX IDX_D_CHANNEL_ID ON SYM_DATA (DATA_ID, CHANNEL_ID) LOCAL
(
PARTITION I_CONFIG,
PARTITION I_CHANNEL_ONE,
PARTITION I_CHANNEL_TWO,
...
PARTITION I_CHANNEL_N,
PARTITION I_DEFAULT
);
C.20.5. Supported Data Types
Data Type | Supported? |
---|---|
Char |
Yes |
NChar |
Yes |
VarChar2 |
Yes |
NVarChar2 |
Yes |
Long |
No |
Number |
Yes |
Binary_Float |
Yes |
Binary_Double |
Yes |
Date |
Yes |
Timestamp |
Yes |
Timestamp With Time Zone |
Yes |
Timestamp With Local Time Zone |
Yes |
Interval Year to Month |
Yes |
Interval Day to Second |
Yes |
Raw |
Yes |
Long Raw |
No |
RowID |
Yes |
URowID |
No |
Clob |
Yes |
NClob |
Yes |
Blob |
Yes |
BFile |
No |
C.21. PostgreSQL
SymmetricDS has bulk loading capability available for Postgres. SymmetricDS specifies data loader types on a channel by channel basis. To utilize Postgres Bulk loading versus straight JDBC insert, specify the Postgres Bulk Loader ("postgres_bulk") in the data_loader_type column of sym_channel.
Starting with PostgreSQL 8.3, SymmetricDS supports the transaction identifier. Binary Large Object (BLOB) replication is supported for both byte array (BYTEA) and object ID (OID) data types.
In order to function properly, SymmetricDS needs to use session variables. Before PostgreSQL 9.2, session variables are enabled using a custom variable class. Add the following line to the postgresql.conf file of PostgreSQL server on versions before 9.2:
custom_variable_classes = 'symmetric'
This setting is required on versions before 9.2, and SymmetricDS will log an error and exit if it cannot set session variables. PostgreSQL versions 9.2 or later do not require this setting.
Before database triggers can be created by in PostgreSQL, the plpgsql language handler must be installed on the database. If plpgsql is not already installed, the following statements can be run by the administrator on the database:
CREATE FUNCTION plpgsql_call_handler() RETURNS language_handler AS
'$libdir/plpgsql' LANGUAGE C;
CREATE FUNCTION plpgsql_validator(oid) RETURNS void AS
'$libdir/plpgsql' LANGUAGE C;
CREATE TRUSTED PROCEDURAL LANGUAGE plpgsql
HANDLER plpgsql_call_handler
VALIDATOR plpgsql_validator;
If you want SymmetricDS to install into a schema other than public you can alter the database user to set the default schema.
alter user {user name} set search_path to {schema name};
When multiple users are involved, the SymmetricDS user will need the following privileges:
GRANT USAGE ON SCHEMA {schema name} TO {user name};
GRANT CREATE ON SCHEMA {schema name} TO {user name};
Data Type | Supported? |
---|---|
SmallInt, Integer, BigInt |
Yes |
Decimal, Numeric |
Yes |
Real, Double Precesion |
Yes |
Serial, BigSerial |
Yes |
Char, Varchar, Text |
Yes |
Money |
No |
Timestamp, Date, Time, Interval |
Yes |
Enum |
No |
Point, Lseg, Box, Path, Polygon, Circle |
Yes |
C.22. Redshift
Redshift is a managed data warehouse in the cloud from Amazon. Version 1.0 of Redshift is based on PostgreSQL 8.0, with some features modified or removed. SymmetricDS supports Redshift as a target platform where data can be loaded, but it does not support data capture. However, the initial load and reload functions are implemented, so it is possible to query rows from Redshift tables and send them to another database.
While Redshift started with PostgreSQL 8.0, there are some important differences from PostgreSQL. Redshift does not support constraints, indexes, functions, triggers, or sequences. Primary keys, foreign keys, and unique indexes can be defined on tables, but they are informational metadata that are not enforced by the system. When using the default data loader with SymmetricDS, it will enforce primary keys, either defined in the database or with the sync keys features, by checking if a row exists before attempting an insert. However, the bulk loader does not perform this check. The data types supported are smallint, integer, bigint, decimal, real, double precision, boolean, char, varchar, date, and timestamp.
A data loader named "redshift_bulk" is a bulk loader that can be set for a channel to improve loading performance. Instead of sending individual SQL statements to the database, it creates a comma separated value (CSV) file, uploads the object to Amazon S3, and uses the COPY statement to load it. The COPY command appends the new data to any existing rows in the table. If the target table has any IDENTITY columns, the EXPLICIT_IDS option is enabled to override the auto-generated values and load the incoming values. The following parameters (see Appendix B) can be set for bulk loader:
- redshift.bulk.load.max.rows.before.flush
-
When the max rows is reached, the flat file is sent to S3 and loaded into the database. The default is 100,000 rows.
- redshift.bulk.load.max.bytes.before.flush
-
When the max bytes is reached, the flat file is sent to S3 and loaded into the database. The default is 1,000,000,000 bytes.
- redshift.bulk.load.s3.bucket
-
The S3 bucket name where files are uploaded. This bucket should be created from the AWS console ahead of time.
- redshift.bulk.load.s3.access.key
-
The AWS access key ID to use as credentials for uploading to S3 and loading from S3.
- redshift.bulk.load.s3.secret.key
-
The AWS secret key to use as credentials for uploading to S3 and loading from S3.
- redshift.bulk.load.s3.endpoint
-
The AWS endpoint used for uploading to S3. This is optional. You might need to specify if you get warnings about retrying during the S3 upload.
To clean and organize tables after bulk changes, it is recommended to run a "vacuum" against individual tables or the entire database so that consistent query performance is maintained. Deletes and updates mark rows for delete that are not automatically reclaimed. New rows are stored in a separate unsorted region, forcing queries to sort on demand. Consider running a "vacuum" periodically during a maintenance window when there is minimal query activity that will be affected. If large batches are continually loaded from SymmetricDS, the "vacuum" command can be run after committing a batch by using a load filter (see Section 3.9) for the "batch commit" event, like this:
for (String tablename : context.getParsedTables().keySet()) {
engine.getSqlTemplate().update("vacuum " + tablename, new Object[] { } );
}
C.23. Snowflake
Send changes from your relational database to Snowflake.
C.23.1. Setup
Snowflake is only supported as a load only node in SymmetricDS. See Load Only Node for details on setting up a load only node in SymmetricDS.
Setup the Snowflake node by using the Add Node wizard and selecting Snowflake as the type.
After hitting next you can setup advanced options for your Snowflake node.
C.23.2. Loading Data Into Snowflake
Choose a bulk load storage option
SymmetricDS will create and send CSV files to the a desired storage location (see below) as part of the load. Once the CSV files have been uploaded to a selected storage area Snowflake’s COPY INTO command will be used to load the data into Snowflake. Once the COPY INTO has completed SymmetricDS will also remove the CSV file from the storage container.
-
Snowflake Managed (internal storage)
-
AWS: S3
-
Azure: Storage Account
- SNOWFLAKE MANAGED
-
Use a Snowflake managed internal stage.
- AWS S3
-
Use an existing AWS S3 cloud storage.
- AZURE Storage Account
-
Use an existing Azure Storage Account.
C.24. SQLite
For SQLite, the implementation of sync-on-incoming back and the population of a source node if in the sym data rows relies on use of a context table (by default, called sym_context) to hold a boolean and node id in place of the more common methods of using temp tables (which are inaccessible from triggers) or functions (which are not available). The context table assumes there’s a single thread updating the database at any one time. If that is not the case in the future, the current implementation of sync on incoming batch will be unreliable.
Nodes using SQLite should have the jobs.synchronized.enable parameter set to true. This parameter causes the jobs and push/pull threads to all run in a synchronized fashion, which is needed in the case of SQLite.
The SQLite dialect has the following limitations:
-
There is no transaction ID recorded on data captured. Either specify a tx_id_expression on the TRIGGER table, or set a max_batch_size on the CHANNEL table that will accommodate your transactional data.
-
Due to the single threaded access to SQLite, the following parameter should be set to true: jobs.synchronized.enable. The sync.triggers.thread.count.per.server parameter should be set to 1.
Data Type | Supported? |
---|---|
Text |
Yes |
Numeric |
Yes |
Integer |
Yes |
Real |
Yes |
Blob |
Yes |
C.25. Sybase ASE
Sybase Adaptive Server Enterprise (ASE) was tested using the jConnect 7 JDBC driver. The jConnect 7 JDBC driver should be placed in the "lib" folder.
driver class : com.sybase.jdbc4.jdbc.SybDriver
SymmetricDS requires the "select into" database option be turned on for Sybase ASE. Run the following command with the sa account on the master database while replacing the database value with your database name.
sp_dboption 'YOUR_DATABASE', 'select into', true
SymmetricDS requires that the meta data information be installed on each database that will be used in replication. Sybase provides these metadata store procedures in a script that is packaged with the installation.
Without the metadata stored procedures installed above the following error will be produced by SymmetricDS
Error while reading the database metadata: JZ0SJ: Metadata accessor information was not found on this database. Please install the required tables as mentioned in the jConnect documentation. |
export CLASSPATH=/opt/sybase/jConnect-7_0/classes/jconn4.jar:/opt/sybase/jConnect-7_0/classes
java IsqlApp -U sa -P {SA_PASSWORD} -S jdbc:sybase:Tds:{HOSTNAME}:{PORT}/{DATABASE} -I sql_server{SYBASE VERSION}.sql -c go
Columns of type DATETIME are accurate to 1/300th of a second, which means that the last digit of the milliseconds portion will end with 0, 3, or 6. An incoming DATETIME synced from another database will also have its millisconds rounded to one of these digits (0 and 1 become 0; 2, 3, and 4 become 3; 5, 6, 7, and 8 become 6; 9 becomes 10). If DATETIME is used as the primary key or as one of the columns to detect a conflict, then conflict resolution could fail unless the milliseconds are rounded in the same fashion on the source system.
On ASE, each new trigger in a table for the same operation (insert, update, or delete) overwrites the previous one. No warning message displays before the overwrite occurs. When SymmetricDS is installed and configured to synchronize a table, it will install triggers that could overwrite already existing triggers on the database. New triggers created after SymmetricDS is installed will overwrite the SymmetricDS triggers. Custom trigger text can be added to the SymmetricDS triggers by modifying CUSTOM_ON_INSERT_TEXT, CUSTOM_ON_UPDATE_TEXT, and CUSTOM_ON_DELETE_TEXT on the TRIGGER table.
SymmetricDS expects a row count to be returned for data manipulation statements, which is the default setting for most server. However, if the NOCOUNT option is ON or the "send doneinproc tokens" setting is 0 for Sybase, SymmetricDS will not behave correctly. The NOCOUNT setting can be checked with "select case when (512 & @@OPTIONS) = 512 then 'on' else 'off' end". The DONEINPROC setting can be checked with "sp_configure 'send doneinproc tokens'". The commands "sp_configure 'send doneinproc tokens', 1" and "SET NOCOUNT OFF" will enable row counts. If you’re unable to change NOCOUNT for the server, the "db.init.sql" parameter can be set to "SET NOCOUNT OFF" in the engine properties file.
Connections are pooled and expected to be in the database context like a new connection, so avoid using the "USE database" Transact-SQL statement in extension code.
C.26. SQL Anywhere
SQL Anywhere and Sybase Adaptive Server Anywhere (ASA) were tested using the jConnect JDBC driver. The jConnect JDBC driver should be placed in the "lib" folder. === Teradata
Teradata is only supported as a Load Only Node. It can only be used as a target to load data into from other dialects. |
C.26.1. Drivers
All jdbc driver jar files need to be placed in the SymmetricDS installation /lib directory or on the classpath of the app server for a deployment through a war file.
-
terajdbc4.jar
-
tdgssconfig.jar
C.26.2. Database Permissions
The user provided at the setup of the node but have select access to the DBC database.
GRANT SELECT ON "DBC" TO {USER} WITH GRANT OPTION;
C.26.3. Loading Data
Turn off the initial load extract in background job
initial.load.use.extract.job.enabled=false
There is a bulk loader provided for Teradata that can be used by setting the Channels data loader type to bulk for any reload channels used. This will use the FASTLOADCSV process provided by Teradata.
To use the FASTLOADCSV the Teradata table must be empty. |
C.27. Tibero
This section describes Tibero specific SymmetricDS details.
C.27.1. Database Permissions
The SymmetricDS database user generally needs privileges for connecting and creating tables (including indexes), triggers, sequences, and procedures (including packages and functions). The following is an example of the needed grant statements:
GRANT CONNECT TO SYMMETRIC;
GRANT RESOURCE TO SYMMETRIC;
GRANT CREATE ANY TRIGGER TO SYMMETRIC;
GRANT EXECUTE ON UTL_RAW TO SYMMETRIC;
Appendix D: Data Format
The SymmetricDS Data Format is used to stream data from one node to another. The data format reader and writer are pluggable with an initial implementation using a format based on Comma Separated Values (CSV). Each line in the stream is a record with fields separated by commas. String fields are surrounded with double quotes. Double quotes and backslashes used in a string field are escaped with a backslash. Binary values are represented as a string with hex values in "\0xab" format. The absence of any value in the field indicates a null value. Extra spacing is ignored and lines starting with a hash are ignored.
The first field of each line gives the directive for the line. The following directives are used:
- nodeid, {node_id}
-
Identifies which node the data is coming from. Occurs once in CSV file.
- binary, {BASE64|NONE|HEX}
-
Identifies the type of decoding the loader needs to use to decode binary data in the pay load. This varies depending on what database is the source of the data.
- channel, {channel_id}
-
Identifies which channel a batch belongs to. The SymmetricDS data loader expects the channel to be specified before the batch.
- batch, {batch_id}
-
Uniquely identifies a batch. Used to track whether a batch has been loaded before. A batch of -9999 is considered a virtual batch and will be loaded, but will not be recorded in incoming_batch.
- schema, {schema name}
-
The name of the schema that is being targeted.
- catalog, {catalog name}
-
The name of the catalog that is being targeted.
- table, {table name}
-
The name of the table that is being targeted.
- keys, {column name…}
-
Lists the column names that are used as the primary key for the table. Only needs to occur after the first occurrence of the table.
- columns, {column name…}
-
Lists all the column names (including key columns) of the table. Only needs to occur after the first occurrence of the table.
- insert, {column value…}
-
Insert into the table with the values that correspond with the columns.
- update, {new column value…},{old key value…}
-
Update the table using the old key values to set the new column values.
- old, {old column value…}
-
Represent all the old values of the data. This data can be used for conflict resolution.
- delete, {old key value…}
-
Delete from the table using the old key values.
- sql, {sql statement}
-
Optional notation that instructs the data loader to run the accompanying SQL statement.
- bsh, {bsh script}
-
Optional notation that instructs the data loader to run the accompanying BeanShell snippet.
- create, {xml}
-
Optional notation that instructs the data loader to run the accompanying DdlUtils XML table definition in order to create a database table.
- commit, {batch_id}
-
An indicator that the batch has been transmitted and the data can be committed to the database.
nodeid, 1001 channel, pricing binary, BASE64 batch, 100 schema, catalog, table, item_selling_price keys, price_id columns, price_id, price, cost insert, 55, 0.65, 0.55 schema, catalog, table, item keys, item_id columns, item_id, price_id, name insert, 110000055, 55, "Soft Drink" delete, 110000001 schema, catalog, table, item_selling_price update, 55, 0.75, 0.65, 55 commit, 100
Appendix E: Version Numbering
The software is released with a version number based on the Apache Portable Runtime Project version guidelines. In summary, the version is denoted as three integers in the format of MAJOR.MINOR.PATCH. Major versions are incompatible at the API level, and they can include any kind of change. Minor versions are compatible with older versions at the API and binary level, and they can introduce new functions or remove old ones. Patch versions are perfectly compatible, and they are released to fix defects.
Appendix F: Upgrading
The SymmetricDS Pro setup program can upgrade an existing installation, which is the preferred method for the Pro version. The full upgrade and incremental upgrade methods work best with the open source version.
The upgrade process can either be a full upgrade of a new installation that copies in existing settings or an incremental upgrade of an existing installation that copies in new library files. A full upgrade is the cleanest method that ensures all new files are updated, while an incremental upgrade changes a minimal number of files. An incremental upgrade works best for patch releases and most minor releases. When SymmetricDS is started after a major or minor software update, it will alter its database tables with any changes needed for that release.
F.1. Pro Upgrade
The SymmetricDS Pro setup program can upgrade an existing installation to a newer version. It stops the server, makes a backup copy of libraries, copies in new libraries, merges settings, and restarts the server.
Select Upgrade for the installation type to upgrade an existing installation to a newer version.
Provide the directory of the existing installation. The directory is verified as a valid installation of SymmetricDS before continuing.
F.2. Full Upgrade
The full upgrade method is for the open source version; SymmetricDS Pro users should use the Pro Upgrade method.
For major releases and clean upgrades, copy old settings into a new installation using the following steps:
-
Stop the old SymmetricDS.
-
Backup the old SymmetricDS folder by renaming it.
-
Unzip the SymmetricDS distribution.
-
Copy old files from "engines" folder. (These files contain database connection information and engine settings.)
-
Copy old files from "conf" folder. (These files contain settings for ports, wrapper, and logging.) Check to see if any new changes need merged.
-
Copy old files from "security" folder. (These files contain keys for encryption.)
-
Restart SymmetricDS.
F.3. Incremental Upgrade
The incremental upgrade method is for the open source version; SymmetricDS Pro users should use the Pro Upgrade method.
For patch and minor releases, copy and replace the library folders of the installation using the following steps:
-
Stop the old SymmetricDS.
-
Backup the old "lib" and "web/WEB-INF/lib" folders by renaming them.
-
Unzip the SymmetricDS distribution to a temporary folder.
-
Copy the new "lib" and "web/WEB-INF/lib" folders into the old installation.
-
Restart SymmetricDS.
Most patch releases only change the JAR files named with "symmetric" in the "web/WEB-INF/lib" folder.
Appendix G: Utilities
G.1. DBCompare
The DbCompare utility provides the ability to compare two SQL-based data sources and output a report of the differences, and optionally generate SQL to bring the target into sync with the source.
The dbcompare wizard is accessible for multi-homed nodes from the explore tab of the pro console. The pop-up window asks for source and target engines for the comparison as well as the the tables to be compared.
The next window allows specific tables to be selected for comparison.
The results of the compare can be presented in four ways:
-
Show Report
-
Write Differences to SQL Editor
-
Write Differences to File
-
Apply Differences to Target Tables
The Show Report option will open a new tab in the SQL editor showing the results of the compare.
The Write Differences to SQL Editor option will write all the required SQL to get the tables in sync and copy it to the current instance of the SQL editor.
The Write Differences to File option will write the required SQL to get the tables in sync to the file system.
The Write Differences to Target Tables option will automatically execute the SQL necessary to bring the tables into sync.
G.2. DBImport
The DbImport utility has the ability to import the structure and data of a tables(s) from a file to database tables.
The DbImport wizard is available from the explore tab of the pro console. The popup window asks for the file format, catalog, schema, and tables to import to the database. It also asks for the number of rows to commit, as well as multiple more specific options for the import.
Input files can be in SQL, XML, CSV, CSV_DQUOTE, or SYM_XML file formats.
The following is an example of the SQL format used for DbImport.
CREATE TABLE ITEM(
ITEM_ID INTEGER NOT NULL,
NAME VARCHAR(100) NULL,
PRIMARY KEY (ITEM_ID)
);
insert into ITEM (ITEM_ID, NAME) values (1805,'lVlmyxlADKEMZFIfWiipfiBqoeMHsSjsbgsoqBuEAWKhmJfaNA');
insert into ITEM (ITEM_ID, NAME) values (2649,'qjyWrDHXnsfdSDBqUzHMJPkRFQmwmWPWxBPPwaQmgpoQrqLcQC');
insert into ITEM (ITEM_ID, NAME) values (3334,'sCTJrMPFLauMvNrmYVyuLwcrinAVDVNmuHLULCWGYYmHRSmbsc');
insert into ITEM (ITEM_ID, NAME) values (3613,'xCNfevpgVBfegbrXHQOsChxCYPcwbjkpHXZpLFkLxMACaFWJnF');
insert into ITEM (ITEM_ID, NAME) values (3622,'UPTWPHujLPjFvusxAqzKSZCSFXXyhqfkbmholwDvuNdhLfIBGY');
The following is an example of the CSV format used for DbImport.
"ITEM_ID","NAME"
"12","zSYwAyLGsbvsLhYFLBqmeprkfISVTlRnfHwsHFZcmZUpKQMXkT"
"471","RFHEaWcFtPDOkqEtbomEomuEWDQoAuyvJVnjPEsPpaqLxEuWpj"
"113","SDFSDf\"SD\"ggdD"
The following is an example of the CSV_DQUOTE format used for DbImport. CSV_DQUOTE escapes quote characters with double quotes if there are quotes in the column values so it can be correctly parsed by programs like Excel. For example, "SPbSDf""SD""gNdD" parses to SPbSDf"SD"gNdD.
"ITEM_ID","NAME"
"12","zSYwAyLGsbvsLhYFLBqmeprkfISVTlRnfHwsHFZcmZUpKQMXkT"
"471","RFHEaWcFtPDOkqEtbomEomuEWDQoAuyvJVnjPEsPpaqLxEuWpj"
"113","SPbSDf""SD""gNdD"
The following is an example of the XML format used for DbImport.
<database xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" name="dbimport">
<table name="ITEM">
<column name="ITEM_ID" primaryKey="true" required="true" type="INTEGER" size="10">
<platform-column name="h2" type="INTEGER" size="10"/>
</column>
<column name="NAME" type="VARCHAR" size="100">
<platform-column name="h2" type="VARCHAR" size="100"/>
</column>
</table>
<table_data name="ITEM">
<row>
<field name="ITEM_ID">1805</field>
<field name="NAME">lVlmyxlADKEMZFIfWiipfiBqoeMHsSjsbgsoqBuEAWKhmJfaNA</field>
</row>
<row>
<field name="ITEM_ID">2649</field>
<field name="NAME">qjyWrDHXnsfdSDBqUzHMJPkRFQmwmWPWxBPPwaQmgpoQrqLcQC</field>
</row>
<row>
<field name="ITEM_ID">3334</field>
<field name="NAME">sCTJrMPFLauMvNrmYVyuLwcrinAVDVNmuHLULCWGYYmHRSmbsc</field>
</row>
<row>
<field name="ITEM_ID">3613</field>
<field name="NAME">xCNfevpgVBfegbrXHQOsChxCYPcwbjkpHXZpLFkLxMACaFWJnF</field>
</row>
<row>
<field name="ITEM_ID">3622</field>
<field name="NAME">UPTWPHujLPjFvusxAqzKSZCSFXXyhqfkbmholwDvuNdhLfIBGY</field>
</row>
<table_data>
G.3. DBExport
The DbExport utility has the ability to export the structure of data from database tables to file.
The DbExport wizard is available from the explore tab of the pro console. The popup window asks for the catalog, schema, and specific table(s) to export to a file.
The next tab allows for specific choices for the format and content of the exported file.
The format option allows for choices between SQL, XML, CSV, CSV_DQUOTE, and SYM_XML. The Compatibility tab allows for a choice between any of the supported SQL dialects. The list of check boxes allows for more specific options for the content of the file including insert, drop or create scripts. A where clause can also be added to make the SQL more specific.
The last option allows for the scripts to be exported as either a file or directly to the SQL editor within the pro console.
G.4. DBFill
The DbFill utility provides the ability to generate random data to populate any tables in Symmetric.
DBFill allows for any of a nodes tables to be filled with random tables. The popup window is accessible from the explore tab of the pro console.
The window asks for the Catalog, Schema, and selection of tables to fill.
The next window allows for a count of rows as well as the interval between execution. Insert, update, and, delete statements can also be specified along with options to ignore errors, and fill dependent tables.