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Authorization Agreement Apache-2.0
development language Java View source code »
operating system Cross platform
Software type Open source software
Open source organizations Apache
region Unknown
deliverer linuxhitlover
intended for unknown
Recording time 2014-08-28

Software Introduction

Apache Flink is an efficient and distributed general data processing platform and an integrated streaming and batching analysis engine.

Apache Flink's declarative open source system for data analysis combines the efficiency, flexible programming and extensibility of the distributed MapReduce class platform. At the same time, the query optimization scheme is found in the parallel database.

requirement

  • Unix class environment (Linux, Mac OS X, Cygwin)

  • git

  • Maven (at least version 3.0.4)

  • Java 6, 7 or 8 (Note that Oracle's JDK 6 library will fail to build Flink, but is able to run a pre-compiled package without problem)

 git clone  https://github.com/apache/incubator-flink.git cd incubator-flink mvn clean package -DskipTests # this will take up to 5 minutes
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2023/04/26 13:23

Apache Flink ML 2.2.0 Announcement

Source | Translator of Apache Flink Official Blog | The Apache Flink community of Lindong is honored to announce the official release of Apache Flink ML version 2.2.0! This release focuses on adding feature engineering algorithms in Flink ML. Now Flink ML contains 33 feature engineering algorithms available out of the box, which can support many common feature engineering tasks. With the addition of these algorithms, we believe that Flink ML is ready for production jobs requiring feature engineering, such as preprocessing the input data of offline and online machine learning tasks. We encourage you to download this version [1] and use Fl

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2022/11/03 07:38

Official Announcement | Apache Flink 1.16 Announcement

Apache Flink has maintained rapid development and is one of the most active communities in Apache. Flink 1.16 has more than 240 Contributors participating enthusiastically, and has completed 19 FLIPs [1] and more than 1100 issues, bringing many exciting functions to the community. Flink has become a leader in the field of streaming computing. The concept of streaming and batching has gradually gained recognition and has been successfully implemented in more and more companies. The previous streaming and batching integration emphasized a unified API and a unified computing framework. This year, on this basis, Flink launched the Streaming Warehouse [2], further upgrading the streaming batch

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2022/09/29 07:26

Apache Flink 1.14.6 release, stream processing framework

Apache Flink 1.14.6 has been released, which is a bug fix version. It includes 34 bug fixes, bug fixes and minor improvements for Flink 1.14. For a complete list of all changes, see JIRA. It is strongly recommended that all users upgrade to Flink 1.14.6. Specific updates include: bug [FLINK-24862] - user-defined hive udaf/udtf cannot be used normally in hive dialect [FLINK-25454] - negative time in throughput calculator [FLINK-27041] - if any topic partition is empty, KafkaSource in batch mode will fail [F

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2022/09/13 08:40

Apache Flink's Statement on Akka License Changes

Akka is a toolkit and runtime that can simplify the construction of concurrent and distributed applications on the JVM. This project announced the change of the license from Apache 2.0 to BSL v1.1 (Business Source License). BSL is a "source code available" license. Future developers who want to use Akka (version 2.7+) in production need to obtain a commercial license from Lightbond. However, Akka's commercial license will be provided free of charge to companies with an annual revenue of less than $25 million, and any new code under the BSL license will be restored to the Apache 2.0 license in three years. Apache F...

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2022/08/26 07:02

Apache Flink 1.15.2 release, stream processing framework

Apache Flink 1.15.2 has been released, which is the second bug fix of Flink 1.15 series; This version includes 30 bug fixes, bug fixes and some minor improvements related to Flink 1.15. Apache Flink is an open source stream processing framework that is suitable for distributed, high-performance data stream applications. The specific updates are as follows: Bug [FLINK-25097] - When the filter condition is Boolean, the inner join error [FLINK-26931] - The producer name of the Pulsar sink should be unique [FLINK-27399] - The Pulsar connector does not set the start consumption bit correctly

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2022/05/08 10:24

Official Announcement | Apache Flink 1.15 Announcement

Author | Joe Moser&Gao Yun Translator | Gao Yun Apache Flink, as one of the most active projects in the Apache community, has been adhering to an active and open attitude and constantly carrying out deep technical cultivation. Here we are honored to release Flink 1.15 and share with you some exciting features and improvements of this version! One of the core concepts of Apache Flink is the integration of stream (unbounded data) and batch (bounded data). The integration of streaming and batch greatly reduces the development complexity of streaming and batch fusion jobs. In the past several versions, Flink streaming and batch integration has gradually matured. In Flink 1.15, streaming and batch integration has become more and more mature

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2021/10/15 15:10

Official Announcement | Apache Flink 1.14.0 Announcement

Author | Translated by Stephan Ewen&Johannes Moser | In the annual report recently released by the Apache Software Foundation, Apache Flink once again ranked among the top five most active projects! The latest version 1.14.0 of the project also reflects its extraordinary vitality, including more than 1000 contributions from more than 200 contributors. We are proud that the whole community has made persistent efforts to promote the project. The new version brings a lot of new features and improvements in SQL API, more connector support, Checkpoint mechanism, PyFlink and other aspects. One of the main

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2021/09/03 16:42

Preview of new features of Apache Flink 1.14

Abstract: This article was organized by Chen Zhengyu, a community volunteer, and the content was derived from the Preview of Flink 1.14 New Features shared by Alibaba technical expert Song Xintong (Wuzang) on August 7 online Flink Meetup. The main content is: Introduction to the performance and efficiency of the streaming and batching integrated checkpoint mechanism Table/SQL/Python API summarizes this article for sharing on August 7. Please pay attention to the notes in the article for the latest progress of version 1.14. 1、 INTRODUCTION 1.14 The new version originally planned to have 35 important new features and optimization work, but now 26 work has been completed; 5 tasks are not sure

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2021/05/20 14:33

Official Announcement | Apache Flink 1.13.0 was officially released, making stream processing applications more simple and efficient!

Translator | Gao Yun Review | Zhu Zhu and Ma Guowei released Flink 1.13! Flink 1.13 includes more than 1000 repairs and optimizations submitted by more than 200 contributors. In this version, one of the main goals of Flink has made important progress, that is, to make the use of streaming applications as simple and natural as ordinary applications. The new passive scaling introduced by Flink 1.13 makes the scaling of streaming jobs as simple as other applications. Users only need to modify the concurrency. This version also includes a series of important changes to enable users to better understand the performance of streaming jobs. When the performance of the streaming job is not as expected, this

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2021/01/30 07:49

Apache Flink 1.10.3 released

Apache Flink 1.10.3 has been released, which is the third Bugfix version of Apache Flink 1.10 series. It contains a total of 36 fixes and minor improvements to Flink 1.10.2. It is strongly recommended that all users upgrade to Flink 1.10.3. Maven <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-java</artifactId> <version>1.10.3</version> </dependency> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streami...

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