apache_beam.io.debezium module

Unbounded source transform for
Debezium.

This transform is currently supported by Beam portable Flink, Spark, and Dataflow v2 runners.

Setup

Transform provided in this module is cross-language transform implemented in the Beam Java SDK. During the pipeline construction, Python SDK will connect to a Java expansion service to expand this transform. To facilitate this, a small amount of setup is needed before using this transform in a Beam Python pipeline.

There are several ways to setup cross-language Debezium transform.

  • Option 1: use the default expansion service
  • Option 2: specify a custom expansion service

See below for details regarding each of these options.

Option 1: Use the default expansion service

This is the recommended and easiest setup option for using Python Debezium transform. This option requires following pre-requisites before running the Beam pipeline.

  • Install Java runtime in the computer from where the pipeline is constructed and make sure that ‘java’ command is available.

In this option, Python SDK will either download (for released Beam version) or build (when running from a Beam Git clone) a expansion service jar and use that to expand transforms. Currently Debezium transform use the ‘beam-sdks-java-io-debezium-expansion-service’ jar for this purpose.

Option 2: specify a custom expansion service

In this option, you startup your own expansion service and provide that as a parameter when using the transform provided in this module.

This option requires following pre-requisites before running the Beam pipeline.

  • Startup your own expansion service.
  • Update your pipeline to provide the expansion service address when initiating Debezium transform provided in this module.

Flink Users can use the built-in Expansion Service of the Flink Runner’s Job Server. If you start Flink’s Job Server, the expansion service will be started on port 8097. For a different address, please set the expansion_service parameter.

More information

For more information regarding cross-language transforms see: - https://beam.apache.org/roadmap/portability/

For more information specific to Flink runner see: - https://beam.apache.org/documentation/runners/flink/

class apache_beam.io.debezium.DriverClassName[source]

Bases: enum.Enum

An enumeration.

MYSQL = 'MySQL'
POSTGRESQL = 'PostgreSQL'
ORACLE = 'Oracle'
DB2 = 'Db2'
class apache_beam.io.debezium.ReadFromDebezium(connector_class, username, password, host, port, max_number_of_records=None, connection_properties=None, expansion_service=None)[source]

Bases: apache_beam.transforms.ptransform.PTransform

An external PTransform which reads from Debezium and returns a Dictionary for each item in the specified database connection.

Experimental; no backwards compatibility guarantees.

Initializes a read operation from Debezium.

Parameters:
  • connector_class – name of the jdbc driver class
  • username – database username
  • password – database password
  • host – database host
  • port – database port
  • max_number_of_records – maximum number of records to be fetched before stop.
  • connection_properties – properties of the debezium connection passed as string with format [propertyName=property;]*
  • expansion_service – The address (host:port) of the ExpansionService.
URN = 'beam:external:java:debezium:read:v1'
expand(pbegin)[source]