Apache Flink: Blog

A Deep Dive into Rescalable State in Apache Flink

04 Jul 2017 by Stefan Richter (@StefanRRichter)

A primer on stateful stream processing and an in-depth walkthrough of rescalable state in Apache Flink.

Apache Flink 1.3.1 Released

23 Jun 2017

The Apache Flink community released the first bugfix version of the Apache Flink 1.3 series.

Apache Flink 1.3.0 Release Announcement

01 Jun 2017 by Robert Metzger (@rmetzger_)

The Apache Flink community is pleased to announce the 1.3.0 release. Over the past 4 months, the Flink community has been working hard to resolve more than 680 issues. See the complete changelog for more detail.

Introducing Docker Images for Apache Flink

16 May 2017 by Patrick Lucas (Data Artisans) and Ismaël Mejía (Talend) (@iemejia)

For some time, the Apache Flink community has provided scripts to build a Docker image to run Flink. Now, starting with version 1.2.1, Flink will have a Docker image on the Docker Hub. This image is maintained by the Flink community and curated by the Docker team to ensure it meets the quality standards for container images of the Docker community.

Apache Flink 1.2.1 Released

26 Apr 2017

The Apache Flink community released the first bugfix version of the Apache Flink 1.2 series.

Continuous Queries on Dynamic Tables

04 Apr 2017 by Fabian Hueske, Shaoxuan Wang, and Xiaowei Jiang

Flink's relational APIs, the Table API and SQL, are unified APIs for stream and batch processing, meaning that a query produces the same result when being evaluated on streaming or static data.

In this blog post we discuss the future of these APIs and introduce the concept of Dynamic Tables. Dynamic tables will significantly expand the scope of the Table API and SQL on streams and enable many more advanced use cases. We discuss how streams and dynamic tables relate to each other and explain the semantics of continuously evaluating queries on dynamic tables.