Chapter 3. Debezium release notes

Debezium is a distributed change data capture platform that captures row-level changes that occur in database tables and then passes corresponding change event records to Apache Kafka topics. Applications can read these change event streams and access the change events in the order in which they occurred. Debezium is built on Apache Kafka and is deployed and integrated with AMQ Streams.

The following topics provide release details:

3.1. Debezium database connectors

Debezium provides connectors based on Kafka Connect for the following common databases:

  • Db2
  • MongoDB
  • MySQL
  • Oracle (Technology Preview)
  • PostgreSQL

  • SQL Server

    Note

    • The Db2 connector requires the use of the abstract syntax notation (ASN) libraries, which are available as a standard part of Db2 for Linux.

      • To use the ASN libraries, you must have a license for IBM InfoSphere Data Replication (IIDR).
      • You do not have to install IIDR to use the libraries.
    • Currently, you cannot use the transaction metadata feature of the Debezium MongoDB connector with MongoDB 4.2.
    • The Debezium PostgreSQL connector requires you to use the pgoutput logical decoding output plug-in, which is the default for PostgreSQL versions 10 and later.
    • To use the Debezium Oracle connector, you must download a copy of the Oracle JDBC driver (ojdbc8.jar) from Oracle.

Additional resources

3.2. Debezium supported configurations

For information about Debezium supported configurations, including information about supported database versions, see the Debezium 1.7 Supported configurations page.

AMQ Streams new API version

Debezium runs on AMQ Streams 2.0.

AMQ Streams now supports the v1beta2 API version, which updates the schemas of the AMQ Streams custom resources. Older API versions are deprecated. After you upgrade to AMQ Streams 1.7, but before you upgrade to AMQ Streams 1.8 or later, you must upgrade your custom resources to use API version v1beta2.

For more information, see the Debezium User Guide.

3.3. Debezium installation options

You can install Debezium with AMQ Streams on OpenShift or RHEL:

3.4. New Debezium features

Debezium 1.7 includes the following updates:

New deployment mechanism
You can now use AMQ Streams to deploy Debezium connectors by using a new AMQ Streams build mechanism that is based on Maven artifacts. For more information, see Debezium documentation.
Debezium documentation
Technology Preview features
Important

Technology Preview features are not supported with Red Hat production service-level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend implementing any Technology Preview features in production environments. Technology Preview features provide early access to upcoming product innovations, enabling you to test functionality and provide feedback during the development process. For more information about support scope, see Technology Preview Features Support Scope.

Sending signals to a Debezium connector
The Integration signaling mechanism provides a way to modify the behavior of a connector, or to trigger the connector to perform a one-time action, such as initiating an ad hoc incremental snapshot of a table.
CloudEvents converter
Emits change event records that conform to the CloudEvents specification. Avro encoding type is now supported for the CloudEvents envelope structure.
Outbox event router
SMT that supports the outbox pattern for safely and reliably exchanging data between multiple (micro) services.
Debezium Oracle connector

Connector for Oracle Database. This release of the Debezium Oracle connector provides the following capabilities:

  • Support tracking DDL changes for Oracle.
  • Ability to perform snapshots without locking.
  • Improved de-duplication checking for change event buffering.
  • Improved SCN gap detection during streaming
  • Mining can be scoped to a specific pluggable database (PDB).
  • Ability to skip or exclude redo entries by username.
  • Stability improvements.
  • An improved DML statement parser.
  • Ability to capture changes from multiple schemas within the same database or pluggable-database.
  • New performance-related JMX metrics.
  • Ability to configure the precision of temporal values through the time.precision.mode property.
  • Compatibility with environments that run multiple Archiver process (ARC) processes.
  • Ability to process messages across multiple archive log destinations (works alongside Oracle Data Guard).

3.5. Deprecated Debezium features

MonitoredTables option for connector snapshot and streaming metrics
The MonitoredTables option for Debezium connector metrics is deprecated in this release and scheduled for removal in a future release. Use the CapturedTables metric in its place.