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tweise and mxm [FLINK-5697] [kinesis] Add periodic per-shard watermark support
Adds support for periodic per-shard watermarks to the Kinesis consumer. This
functionality is off by default and can be enabled by setting an optional
watermark assigner on the consumer. When enabled, the watermarking also
optionally supports idle shard detection based on configurable interval of
inactivity.

- Add watermark assigner to consumer
- Modify data fetcher to track watermark state per shard
- Modify emitRecordAndUpdateState to extract timestamp and update watermark
- Timer driven periodic watermark emit

This closes #6980.
Latest commit f75c33d Nov 1, 2018
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.github [FLINK-10378][github] Comment out contribution guide from PR template Sep 27, 2018
docs [FLINK-10625] [docs] Polishing MATCH_RECOGNIZE document Nov 18, 2018
flink-annotations [FLINK-10880] Add Documentation.ExcludeFromDocumentation to exclude C… Nov 17, 2018
flink-clients Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-connectors [FLINK-5697] [kinesis] Add periodic per-shard watermark support Nov 21, 2018
flink-container [FLINK-10906][docker] Don't print configuration in docker-entrypoint.sh Nov 17, 2018
flink-contrib [FLINK-10906][docker] Don't print configuration in docker-entrypoint.sh Nov 17, 2018
flink-core [FLINK-10880] Exclude JobManagerOptions#EXECUTION_FAILOVER_STRATEGY f… Nov 17, 2018
flink-dist [FLINK-10922] Refactor the placement of the Flink Kafka connector end… Nov 19, 2018
flink-docs [FLINK-10880] Add Documentation.ExcludeFromDocumentation to exclude C… Nov 17, 2018
flink-end-to-end-tests [FLINK-10922] Remove Scala Kafka010Example from flink-end-to-end-tests Nov 19, 2018
flink-examples [FLINK-10922] Refactor the placement of the Flink Kafka connector end… Nov 19, 2018
flink-filesystems [hotfix] [tests] Simplify and speed up S3 filesystem tests Nov 16, 2018
flink-formats Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-fs-tests Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-java Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-jepsen [FLINK-10754] Enable local recovery for Jepsen based tests Nov 2, 2018
flink-libraries [FLINK-10670] [table] Fix Correlate codegen error Nov 19, 2018
flink-mesos Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-metrics [hotfix][tests] Fix typo in FutureUtils#retrySuccessfulWithDelay Nov 15, 2018
flink-optimizer Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-queryable-state [hotfix][tests] Fix typo in FutureUtils#retrySuccessfulWithDelay Nov 15, 2018
flink-quickstart Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-runtime-web Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-runtime [FLINK-10913] Harden ExecutionGraphRestartTest#testRestartAutomatically Nov 17, 2018
flink-scala-shell Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-scala [FLINK-10789] [scala] ScalaEitherSerializerSnapshot should be a TypeS… Nov 11, 2018
flink-shaded-curator Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-shaded-hadoop Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-state-backends Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-streaming-java [FLINK-10916][streaming] Include duplicated user-specified uid in err… Nov 19, 2018
flink-streaming-scala [FLINK-10763] [streaming] Fix interval join return type in Scala Nov 20, 2018
flink-test-utils-parent [FLINK-10869] [tests] Update all S3 tests to use new test credentials Nov 16, 2018
flink-tests [hotfix][tests] Fix typo in FutureUtils#retrySuccessfulWithDelay Nov 15, 2018
flink-yarn-tests Update version to 1.8-SNAPSHOT Nov 3, 2018
flink-yarn [FLINK-10666] [tests] Port YarnClusterDescriptorTest to new codebase Nov 19, 2018
tools [FLINK-10813][travis][scala] Automatically check scala-suffixes Nov 9, 2018
.editorconfig [tools] add more defaults to .editorconfig Nov 27, 2015
.gitattributes [FLINK-5485] [webfrontend] Mark compiled web frontend files as binary… Jan 16, 2017
.gitignore [FLINK-8994] [tests] Let general purpose DataStream job include Avro … Jul 30, 2018
.travis.yml [FLINK-10869] [build] Remove outdated secrets from travis build Nov 16, 2018
LICENSE [FLINK-9414] Remove unnecessary jline-reader and jline-terminal entri… May 22, 2018
NOTICE [FLINK-8359] [docs] Update copyright date in NOTICE Jan 5, 2018
README.md [FLINK-10797][docs] Fix broken ide_setup links Nov 7, 2018
pom.xml [FLINK-5697] [kinesis] Add periodic per-shard watermark support Nov 21, 2018

README.md

Apache Flink

Apache Flink is an open source stream processing framework with powerful stream- and batch-processing capabilities.

Learn more about Flink at http://flink.apache.org/

Features

  • A streaming-first runtime that supports both batch processing and data streaming programs

  • Elegant and fluent APIs in Java and Scala

  • A runtime that supports very high throughput and low event latency at the same time

  • Support for event time and out-of-order processing in the DataStream API, based on the Dataflow Model

  • Flexible windowing (time, count, sessions, custom triggers) across different time semantics (event time, processing time)

  • Fault-tolerance with exactly-once processing guarantees

  • Natural back-pressure in streaming programs

  • Libraries for Graph processing (batch), Machine Learning (batch), and Complex Event Processing (streaming)

  • Built-in support for iterative programs (BSP) in the DataSet (batch) API

  • Custom memory management for efficient and robust switching between in-memory and out-of-core data processing algorithms

  • Compatibility layers for Apache Hadoop MapReduce and Apache Storm

  • Integration with YARN, HDFS, HBase, and other components of the Apache Hadoop ecosystem

Streaming Example

case class WordWithCount(word: String, count: Long)

val text = env.socketTextStream(host, port, '\n')

val windowCounts = text.flatMap { w => w.split("\\s") }
  .map { w => WordWithCount(w, 1) }
  .keyBy("word")
  .timeWindow(Time.seconds(5))
  .sum("count")

windowCounts.print()

Batch Example

case class WordWithCount(word: String, count: Long)

val text = env.readTextFile(path)

val counts = text.flatMap { w => w.split("\\s") }
  .map { w => WordWithCount(w, 1) }
  .groupBy("word")
  .sum("count")

counts.writeAsCsv(outputPath)

Building Apache Flink from Source

Prerequisites for building Flink:

  • Unix-like environment (we use Linux, Mac OS X, Cygwin)
  • git
  • Maven (we recommend version 3.2.5)
  • Java 8 (Java 9 and 10 are not yet supported)
git clone https://github.com/apache/flink.git
cd flink
mvn clean package -DskipTests # this will take up to 10 minutes

Flink is now installed in build-target

NOTE: Maven 3.3.x can build Flink, but will not properly shade away certain dependencies. Maven 3.0.3 creates the libraries properly. To build unit tests with Java 8, use Java 8u51 or above to prevent failures in unit tests that use the PowerMock runner.

Developing Flink

The Flink committers use IntelliJ IDEA to develop the Flink codebase. We recommend IntelliJ IDEA for developing projects that involve Scala code.

Minimal requirements for an IDE are:

  • Support for Java and Scala (also mixed projects)
  • Support for Maven with Java and Scala

IntelliJ IDEA

The IntelliJ IDE supports Maven out of the box and offers a plugin for Scala development.

Check out our Setting up IntelliJ guide for details.

Eclipse Scala IDE

NOTE: From our experience, this setup does not work with Flink due to deficiencies of the old Eclipse version bundled with Scala IDE 3.0.3 or due to version incompatibilities with the bundled Scala version in Scala IDE 4.4.1.

We recommend to use IntelliJ instead (see above)

Support

Don’t hesitate to ask!

Contact the developers and community on the mailing lists if you need any help.

Open an issue if you found a bug in Flink.

Documentation

The documentation of Apache Flink is located on the website: http://flink.apache.org or in the docs/ directory of the source code.

Fork and Contribute

This is an active open-source project. We are always open to people who want to use the system or contribute to it. Contact us if you are looking for implementation tasks that fit your skills. This article describes how to contribute to Apache Flink.

About

Apache Flink is an open source project of The Apache Software Foundation (ASF). The Apache Flink project originated from the Stratosphere research project.