Ververica Platform 2.10.4

Release Date: 2023-06-29

Changelog

Apache Flink®

Ververica Platform 2.10.4 supports Apache Flink® 1.16 and Apache Flink® 1.15 under SLA. Apache Flink® 1.14 images are no longer provided in this version but are still supported on a best-effort basis.

For Stream Edition the following Apache Flink® Docker images are available. Please check Ververica Platform Docker Images for all available Apache Flink® images and additional tags.
- 1.14.6-stream2-scala_2.11-java8
- 1.14.6-stream2-scala_2.11-java11
- 1.14.6-stream2-scala_2.12-java8
- 1.14.6-stream2-scala_2.12-java11
- 1.15.4-stream1-scala_2.12-java8
- 1.15.4-stream1-scala_2.12-java11
- 1.16.2-stream1-scala_2.12-java8
- 1.16.2-stream1-scala_2.12-java11
For Spring Edition the following archives are available

Apache Flink® SQL

The Flink SQL Version has been bumped to Apache Flink® 1.16.2

PyFlink

VVP supports PyFlink. The documentation now includes a tutorial with examples of writing and running Python extensions or complete applications against a VVP deployment. Check: PyFlink development with Apache Flink®

Improvements

Add manually triggered database schema management
Extend artifact existence checking and handling of job termination state
Add logs describing the metrics and results of Autopilot parallelism calculations for deployment

Bug Fixes

Check Kubernetes Namespace accessibility and required permissions before creating Deployment Target

VVP Kubernetes vs. Flink Kubernetes

VVP Kubernetes is marked as deprecated and it is recommended to use Flink Kubernetes. Please check Kubernetes High-Availability Service for more information

Upgrade

We recommend upgrading via Helm using the following commands:

    helm repo add ververica https://charts.ververica.com
    helm repo update
    helm upgrade [RELEASE] ververica/ververica-platform --version 5.6.4 --values custom-values.yaml

Changelog​

Apache Flink®​

Apache Flink® SQL​

PyFlink​

Improvements​

Bug Fixes​

VVP Kubernetes vs. Flink Kubernetes​

Upgrade​