The Apache Beam team is pleased to announce the release of 2.6.0 version!
Apache Beam is an open source unified programming model to define and
execute data processing pipelines, including ETL, batch and stream
(continuous) processing. See https://beam.apache.org
You can download the release here:
https://beam.apache.org/get-started/downloads/
This release includes the following major new features & improvements,
among others:
- Improvements for internal Context Management in Python SDK
- A number of improvements to the Portability Framework
- A Universal Local Runner has been added to Beam. This runner runs in a
single machine using portability, and containerized SDK harnesses.
- Increased the coverage of ErrorProne analysis of the codebase.
- Updates to various dependency versions
- Updates to stability, performance, and documentation.
- SQL - improvements: support exists operator, implemented sum()
aggregations, fixes to CASE expression, support for date comparison,
support LIMIT on Unbounded Data
- Provide automatic schema registration for POJOs
You can take a look at the Release Notes for more details:
*https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12343392&projectId=12319527
<https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12343392&projectId=12319527https://issues.apache.org/jira/secure/ReleaseNote.jspa?version=12343392&projectId=12319527>*
Thanks to everyone who participated in this release, and we hope you'll
have a good time using Beam 2.6.0.
--
Pablo Estrada, on behalf of The Apache Beam team
--
Got feedback? go/pabloem-feedback
