Bump apache-beam[gcp] from 2.28.0 to 2.39.0 in /megalist_dataflow

[dependabot]

Bumps apache-beam[gcp] from 2.28.0 to 2.39.0.

Release notes

Sourced from apache-beam[gcp]'s releases.

Beam 2.39.0 release

We are happy to present the new 2.39.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.39.0 check out the detailed release notes.

I/Os

• JmsIO gains the ability to map any kind of input to any subclass of javax.jms.Message (Java) (BEAM-16308).
• JmsIO introduces the ability to write to dynamic topics (Java) (BEAM-16308).
  • A topicNameMapper must be set to extract the topic name from the input value.
  • A valueMapper must be set to convert the input value to JMS message.
• Reduce number of threads spawned by BigqueryIO StreamingInserts ( BEAM-14283).
• Implemented Apache PulsarIO (BEAM-8218).

New Features / Improvements

• Support for flink scala 2.12, because most of the libraries support version 2.12 onwards. (beam-14386)
• 'Manage Clusters' JupyterLab extension added for users to configure usage of Dataproc clusters managed by Interactive Beam (Python) (BEAM-14130).
• Pipeline drain support added for Go SDK (BEAM-11106). Note: this feature is not yet fully validated and should be treated as experimental in this release.
• DataFrame.unstack(), DataFrame.pivot() and Series.unstack() implemented for DataFrame API (BEAM-13948, BEAM-13966).
• Support for impersonation credentials added to dataflow runner in the Java and Python SDK (BEAM-14014).
• Implemented Jupyterlab extension for managing Dataproc clusters (BEAM-14130).
• ExternalPythonTransform API added for easily invoking Python transforms from Java (BEAM-14143).
• Added Add support for Elasticsearch 8.x (BEAM-14003).
• Shard aware Kinesis record aggregation (AWS Sdk v2), (BEAM-14104).
• Upgrade to ZetaSQL 2022.04.1 (BEAM-14348).
• Fixed ReadFromBigQuery cannot be used with the interactive runner (BEAM-14112).

Breaking Changes

• Unused functions ShallowCloneParDoPayload(), ShallowCloneSideInput(), and ShallowCloneFunctionSpec() have been removed from the Go SDK's pipelinex package (BEAM-13739).
• JmsIO requires an explicit valueMapper to be set (BEAM-16308). You can use the TextMessageMapper to convert String inputs to JMS TestMessages:

  JmsIO.<String>write()
        .withConnectionFactory(jmsConnectionFactory)
        .withValueMapper(new TextMessageMapper());

• Coders in Python are expected to inherit from Coder. (BEAM-14351).
• New abstract method metadata() added to io.filesystem.FileSystem in the Python SDK. (BEAM-14314)

... (truncated)

Changelog

Sourced from apache-beam[gcp]'s changelog.

[2.39.0] - 2022-05-25

Highlights

• Watermark estimation is now supported in the Go SDK (BEAM-11105).
• Support for impersonation credentials added to dataflow runner in the Java and Python SDK (BEAM-14014).
• Implemented Apache PulsarIO (BEAM-8218).

I/Os

• JmsIO gains the ability to map any kind of input to any subclass of javax.jms.Message (Java) (BEAM-16308).
• JmsIO introduces the ability to write to dynamic topics (Java) (BEAM-16308).
  • A topicNameMapper must be set to extract the topic name from the input value.
  • A valueMapper must be set to convert the input value to JMS message.
• Reduce number of threads spawned by BigqueryIO StreamingInserts ( BEAM-14283).
• Implemented Apache PulsarIO (BEAM-8218).

New Features / Improvements

• Support for flink scala 2.12, because most of the libraries support version 2.12 onwards. (beam-14386)
• 'Manage Clusters' JupyterLab extension added for users to configure usage of Dataproc clusters managed by Interactive Beam (Python) (BEAM-14130).
• Pipeline drain support added for Go SDK (BEAM-11106). Note: this feature is not yet fully validated and should be treated as experimental in this release.
• DataFrame.unstack(), DataFrame.pivot() and Series.unstack() implemented for DataFrame API (BEAM-13948, BEAM-13966).
• Support for impersonation credentials added to dataflow runner in the Java and Python SDK (BEAM-14014).
• Implemented Jupyterlab extension for managing Dataproc clusters (BEAM-14130).
• ExternalPythonTransform API added for easily invoking Python transforms from Java (BEAM-14143).
• Added Add support for Elasticsearch 8.x (BEAM-14003).
• Shard aware Kinesis record aggregation (AWS Sdk v2), (BEAM-14104).
• Upgrade to ZetaSQL 2022.04.1 (BEAM-14348).
• Fixed ReadFromBigQuery cannot be used with the interactive runner (BEAM-14112).

Breaking Changes

• Unused functions ShallowCloneParDoPayload(), ShallowCloneSideInput(), and ShallowCloneFunctionSpec() have been removed from the Go SDK's pipelinex package (BEAM-13739).
• JmsIO requires an explicit valueMapper to be set (BEAM-16308). You can use the TextMessageMapper to convert String inputs to JMS TestMessages:

  JmsIO.<String>write()
        .withConnectionFactory(jmsConnectionFactory)
        .withValueMapper(new TextMessageMapper());

• Coders in Python are expected to inherit from Coder. (BEAM-14351).
• New abstract method metadata() added to io.filesystem.FileSystem in the Python SDK. (BEAM-14314)

Deprecations

... (truncated)

Commits

• 23bb12f Set version for 2.39.0 RC2
• 15a211e Vortex performance improvement: Enable multiple stream clients per worker (#1...
• 9b8ec45 Revert "[BEAM-14294] Worker changes to support trivial Batched DoFns (#17384)...
• 10aeab8 [BEAM-14014] Support impersonation credentials in dataflow runner (#17244) (#...
• a83cb6a [BEAM-14456] Update Go version to 1.18.2 (#17606)
• 1b5086c Chery-pick pull request #17394: [BEAM-14014] Add parameter for service accoun...
• 6e2cca1 Cherry-pick request #17566 from [BEAM-14146] Python Streaming job failing to ...
• 8aa77e6 Revert "[BEAM-11104] Enable ProcessContinuation return values, add unit test ...
• 276ac1d Merge pull request #17504: [BEAM-14196] add test verifying output watermark p...
• ae400c9 Set Dataflow container to release version.
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[dependabot]

Superseded by #82.