mozilla / gcp-ingestion

Documentation and implementation of telemetry ingestion on Google Cloud Platform
https://mozilla.github.io/gcp-ingestion/
Mozilla Public License 2.0
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Bump org.apache.beam:beam-sdks-java-google-cloud-platform-bom from 2.51.0 to 2.58.0 #2622

Closed dependabot[bot] closed 4 weeks ago

dependabot[bot] commented 1 month ago

Bumps org.apache.beam:beam-sdks-java-google-cloud-platform-bom from 2.51.0 to 2.58.0.

Release notes

Sourced from org.apache.beam:beam-sdks-java-google-cloud-platform-bom's releases.

Beam 2.58.0 release

We are happy to present the new 2.58.0 release of Beam. This release includes both improvements and new functionality. See the download page for this release.

For more information about changes in 2.58.0, check out the detailed release notes.

I/Os

  • Support for Solace source (SolaceIO.Read) added (Java) (#31440).

New Features / Improvements

  • Multiple RunInference instances can now share the same model instance by setting the model_identifier parameter (Python) (#31665).
  • Added options to control the number of Storage API multiplexing connections (#31721)
  • [BigQueryIO] Better handling for batch Storage Write API when it hits AppendRows throughput quota (#31837)
  • [IcebergIO] All specified catalog properties are passed through to the connector (#31726)
  • Removed a third-party LGPL dependency from the Go SDK (#31765).
  • Support for MapState and SetState when using Dataflow Runner v1 with Streaming Engine (Java) ([#18200])

Breaking Changes

  • [IcebergIO] IcebergCatalogConfig was changed to support specifying catalog properties in a key-store fashion (#31726)
  • [SpannerIO] Added validation that query and table cannot be specified at the same time for SpannerIO.read(). Previously withQuery overrides withTable, if set (#24956).

Bug fixes

  • [BigQueryIO] Fixed a bug in batch Storage Write API that frequently exhausted concurrent connections quota (#31710)

List of Contributors

According to git shortlog, the following people contributed to the 2.58.0 release. Thank you to all contributors!

Ahmed Abualsaud

Ahmet Altay

Alexandre Moueddene

Alexey Romanenko

Andrew Crites

Bartosz Zablocki

Celeste Zeng

Chamikara Jayalath

... (truncated)

Changelog

Sourced from org.apache.beam:beam-sdks-java-google-cloud-platform-bom's changelog.

[2.58.0] - 2024-08-06

Highlights

  • Support for Solace source (SolaceIO.Read) added (Java) (#31440).

New Features / Improvements

  • Multiple RunInference instances can now share the same model instance by setting the model_identifier parameter (Python) (#31665).
  • Added options to control the number of Storage API multiplexing connections (#31721)
  • [BigQueryIO] Better handling for batch Storage Write API when it hits AppendRows throughput quota (#31837)
  • [IcebergIO] All specified catalog properties are passed through to the connector (#31726)
  • Removed a 3rd party LGPL dependency from the Go SDK (#31765).
  • Support for MapState and SetState when using Dataflow Runner v1 with Streaming Engine (Java) ([#18200])

Breaking Changes

  • [IcebergIO] IcebergCatalogConfig was changed to support specifying catalog properties in a key-store fashion (#31726)
  • [SpannerIO] Added validation that query and table cannot be specified at the same time for SpannerIO.read(). Previously withQuery overrides withTable, if set (#24956).

Bugfixes

  • [BigQueryIO] Fixed a bug in batch Storage Write API that frequently exhausted concurrent connections quota (#31710)
  • Fixed a logging issue where Python worker dependency installation logs sometimes were not emitted in a timely manner (#31977)

[2.57.0] - 2024-06-26

Highlights

  • Apache Beam adds Python 3.12 support (#29149).
  • Added FlinkRunner for Flink 1.18 (#30789).

I/Os

  • Ensure that BigtableIO closes the reader streams (#31477).

New Features / Improvements

  • Added Feast feature store handler for enrichment transform (Python) (#30957).
  • BigQuery per-worker metrics are reported by default for Streaming Dataflow Jobs (Java) (#31015)
  • Adds inMemory() variant of Java List and Map side inputs for more efficient lookups when the entire side input fits into memory.
  • Beam YAML now supports the jinja templating syntax. Template variables can be passed with the (json-formatted) --jinja_variables flag.
  • DataFrame API now supports pandas 2.1.x and adds 12 more string functions for Series.(#31185).
  • Added BigQuery handler for enrichment transform (Python) (#31295)
  • Disable soft delete policy when creating the default bucket for a project (Java) (#31324).
  • Added DoFn.SetupContextParam and DoFn.BundleContextParam which can be used as a python DoFn.process, Map, or FlatMap parameter to invoke a context manager per DoFn setup or bundle (analogous to using setup/teardown or start_bundle/finish_bundle respectively.)

... (truncated)

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dependabot[bot] commented 4 weeks ago

Superseded by #2628.