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Apache Flink
Source: https://github.com/apache/flink
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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/
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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
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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
Integration with YARN, HDFS, HBase, and other components of the Apache Hadoop ecosystem
Streaming Example
```scalacase 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
```scalacase 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.gitcd flinkmvn 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.
- IntelliJ download: https://www.jetbrains.com/idea/
- IntelliJ Scala Plugin: http://plugins.jetbrains.com/plugin/?id=1347
Check out our Setting up IntelliJ guide for details.
Eclipse Scala IDE
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NOTE: From our experience, this setup does not work with Flinkdue to deficiencies of the old Eclipse version bundled with Scala IDE 3.0.3 ordue 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.orgor in the docs/ directory of the source code.
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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.
Source: https://github.com/apache/flink
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