Spring Cloud Data Flow for Apache YARN 1.0.2 released

Releases | Janne Valkealahti | September 22, 2016 | ...

We are pleased to announce the release of Spring Cloud Data Flow for Apache YARN 1.0.2.RELEASE.

Spring Cloud Data Flow for Apache YARN provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Apache YARN.

Apart from usual minor fixes, we have worked on the following themes.

  • Builds upon Spring Cloud Data Flow’s 1.0.1.RELEASE
  • Support for Apache Ambari 2.4
  • Adds Apache Ambari installation of Spring Cloud Data Flow for HDP 2.5 stack
  • UX improvements around Apache Ambari configuration settings and quicklinks
  • Adds support to interact with kerberized Apache Kafka cluster
  • Yarn deployer APIs and the auto-configuration improvements
  • Certification of partitioned batch-jobs running as short-lived Tasks in YARN
  • Improved documentation

For a complete list of changes and improvements, please refer to 1.0.2.RELEASE server release, 1.0.2.RELEASE deployer release, 1.0-3.RELEASE rpm release and 1.0-3.RELEASE ambari plugin release.

Looking into a future:

  • We're planning to start work for 1.1.x
  • Better and faster interoperability with YARN
  • Integration to Ambari's Extensions and Management Packs allowing upgrades
  • Better versioning for release artifacts needed for upgrade support

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