We are happy to present the new 2.54.0 release of Beam. This release includes both improvements and new functionality.
For more information on changes in 2.54.0, check out the detailed release notes(https://github.com/apache/beam/milestone/18). ## Highlights * [Enrichment Transform](https://s.apache.org/enrichment-transform) along with GCP BigTable handler added to Python SDK ( https://github.com/apache/beam/pull/30001). * Beam Java Batch pipelines run on Google Cloud Dataflow will default to the Portable (Runner V2) version starting with this version. (All other languages are already on Runner V2.) * This change is still rolling out to the Dataflow service, see the Runner V2 documentation (https://cloud.google.com/dataflow/docs/runner-v2) for how to enable or disable it intentionally. ## I/Os * Added support for writing to BigQuery dynamic destinations with Python's Storage Write API (https://github.com/apache/beam/pull/30045) * Adding support for Tuples DataType in ClickHouse (Java) ( https://github.com/apache/beam/pull/29715). * Added support for handling bad records to FileIO, TextIO, AvroIO ( https://github.com/apache/beam/pull/29670). * Added support for handling bad records to BigtableIO ( https://github.com/apache/beam/pull/29885) ## New Features / Improvements * [Enrichment Transform](https://s.apache.org/enrichment-transform) along with GCP BigTable handler added to Python SDK ([#30001]( https://github.com/apache/beam/pull/30001)). ## Breaking Changes * N/A ## Deprecations * N/A ## Bugfixes * Fixed a memory leak affecting some Go SDK since 2.46.0. ( https://github.com/apache/beam/pull/28142) ## Security Fixes * N/A ## Known Issues * N/A >From the blog post: https://beam.apache.org/blog/beam-2.54.0/ Thanks! Robert Burke Beam 2.54.0 Release Manager
