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Published 20 hours ago • verified publisher icon DP6

Bump apache-beam[gcp] from 2.28.0 to 2.45.0 in /megalist_dataflow

Open dependabot[bot] opened this issue 2 years ago • 0 comments

Bumps apache-beam[gcp] from 2.28.0 to 2.45.0.

Release notes

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

Beam 2.45.0 release

We are happy to present the new 2.45.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information on changes in 2.45.0, check out the detailed release notes.

I/Os

  • MongoDB IO connector added (Go) (#24575).

New Features / Improvements

  • RunInference Wrapper with Sklearn Model Handler support added in Go SDK (#24497).
  • Adding override of allowed TLS algorithms (Java), now maintaining the disabled/legacy algorithms present in 2.43.0 (up to 1.8.0_342, 11.0.16, 17.0.2 for respective Java versions). This is accompanied by an explicit re-enabling of TLSv1 and TLSv1.1 for Java 8 and Java 11.
  • Add UDF metrics support for Samza portable mode.

Breaking Changes

  • Portable Java pipelines, Go pipelines, Python streaming pipelines, and portable Python batch pipelines on Dataflow are required to use Runner V2. The disable_runner_v2, disable_runner_v2_until_2023, disable_prime_runner_v2 experiments will raise an error during pipeline construction. You can no longer specify the Dataflow worker jar override. Note that non-portable Java jobs and non-portable Python batch jobs are not impacted. (#24515).

Bugfixes

  • Avoids Cassandra syntax error when user-defined query has no where clause in it (Java) (#24829).
  • Fixed JDBC connection failures (Java) during handshake due to deprecated TLSv1(.1) protocol for the JDK. (#24623)
  • Fixed Python BigQuery Batch Load write may truncate valid data when deposition sets to WRITE_TRUNCATE and incoming data is large (Python) (#24623).
  • Fixed Kafka watermark issue with sparse data on many partitions (#24205)

List of Contributors

According to git shortlog, the following people contributed to the 2.45.0 release. Thank you to all contributors!

AdalbertMemSQL

Ahmed Abualsaud

Ahmet Altay

Alexey Romanenko

Anand Inguva

Andrea Nardelli

... (truncated)

Changelog

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

[2.45.0] - 2023-02-15

Highlights

  • New highly anticipated feature X added to Python SDK (#X).
  • New highly anticipated feature Y added to Java SDK (#Y).

I/Os

  • Support for X source added (Java/Python) (#X).
  • MongoDB IO connector added (Go) (#24575).

New Features / Improvements

  • RunInference Wrapper with Sklearn Model Handler support added in Go SDK (#24497).
  • Adding override of allowed TLS algorithms (Java), now maintaining the disabled/legacy algorithms present in 2.43.0 (up to 1.8.0_342, 11.0.16, 17.0.2 for respective Java versions). This is accompanied by an explicit re-enabling of TLSv1 and TLSv1.1 for Java 8 and Java 11.
  • Add UDF metrics support for Samza portable mode.

Breaking Changes

  • Portable Java pipelines, Go pipelines, Python streaming pipelines, and portable Python batch pipelines on Dataflow are required to use Runner V2. The disable_runner_v2, disable_runner_v2_until_2023, disable_prime_runner_v2 experiments will raise an error during pipeline construction. You can no longer specify the Dataflow worker jar override. Note that non-portable Java jobs and non-portable Python batch jobs are not impacted. (#24515).
  • Beam now requires pyarrow>=3 and pandas>=1.4.3 since older versions are not compatible with numpy==1.24.0.

Bugfixes

  • Avoids Cassandra syntax error when user-defined query has no where clause in it (Java) (#24829).
  • Fixed JDBC connection failures (Java) during handshake due to deprecated TLSv1(.1) protocol for the JDK. (#24623)
  • Fixed Python BigQuery Batch Load write may truncate valid data when deposition sets to WRITE_TRUNCATE and incoming data is large (Python) (#24623).

[2.44.0] - 2023-01-12

Highlights

  • New highly anticipated feature X added to Python SDK (#X).
  • New highly anticipated feature Y added to Java SDK (#Y).

I/Os

  • Support for Bigtable sink (Write and WriteBatch) added (Go) (#23324).
  • S3 implementation of the Beam filesystem (Go) (#23991).
  • Support for SingleStoreDB source and sink added (Java) (#22617).
  • Added support for DefaultAzureCredential authentication in Azure Filesystem (Python) (#24210).

New Features / Improvements

... (truncated)

Commits

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dependabot[bot] avatar Mar 01 '23 08:03 dependabot[bot]