flink

library/flink

Apache Flink® 是一款功能强大的开源分布式流处理与批处理框架,具备低延迟、高吞吐的实时数据处理能力,支持事件时间语义与状态管理,可实现 Exactly-Once 数据一致性保障,广泛应用于实时数据分析、企业级 ETL、机器学习数据流处理及复杂事件检测等领域,通过统一的计算模型高效融合流批处理需求,为分布式数据处理提供稳定可靠的解决方案。

467 次收藏下载次数: 0状态:Docker 官方镜像维护者:Docker 官方镜像仓库类型:镜像最近更新:4 天前
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Quick reference

  • Maintained by:
    https://flink.apache.org/community.html#people

  • Where to get help:
    https://flink.apache.org/community.html#mailing-lists and https://stackoverflow.com/questions/tagged/apache-flink

Supported tags and respective Dockerfile links

  • https://github.com/apache/flink-docker/blob/22f0d026de5e76b8cf9ad5334813d6f6c0b5d4cc/2.3/scala_2.12-java21-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/22f0d026de5e76b8cf9ad5334813d6f6c0b5d4cc/2.3/scala_2.12-java17-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/22f0d026de5e76b8cf9ad5334813d6f6c0b5d4cc/2.3/scala_2.12-java11-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/983be3455636eb12cd1d3dee1efc8e32c4b875db/2.2/scala_2.12-java21-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/983be3455636eb12cd1d3dee1efc8e32c4b875db/2.2/scala_2.12-java17-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/983be3455636eb12cd1d3dee1efc8e32c4b875db/2.2/scala_2.12-java11-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/dbd988b2995eed725b***b237a9a2642e6cc9/2.1/scala_2.12-java21-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/dbd988b2995eed725b***b237a9a2642e6cc9/2.1/scala_2.12-java17-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/dbd988b2995eed725b***b237a9a2642e6cc9/2.1/scala_2.12-java11-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/ec50021bbd6aa9e9fe0be6759e04d390ee077499/1.20/scala_2.12-java8-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/ec50021bbd6aa9e9fe0be6759e04d390ee077499/1.20/scala_2.12-java17-ubuntu/Dockerfile

  • https://github.com/apache/flink-docker/blob/ec50021bbd6aa9e9fe0be6759e04d390ee077499/1.20/scala_2.12-java11-ubuntu/Dockerfile

Quick reference (cont.)

  • Where to file issues:
    https://issues.apache.org/jira/browse/FLINK

  • Supported architectures: (https://github.com/docker-library/official-images#architectures-other-than-amd64)
    https://hub.docker.com/r/amd64/flink/, https://hub.docker.com/r/arm64v8/flink/

  • Published image artifact details:
    https://github.com/docker-library/repo-info/blob/master/repos/flink (https://github.com/docker-library/repo-info/commits/master/repos/flink)
    (image metadata, transfer size, etc)

  • Image updates:
    https://github.com/docker-library/official-images/issues?q=label%3Alibrary%2Fflink
    https://github.com/docker-library/official-images/blob/master/library/flink (https://github.com/docker-library/official-images/commits/master/library/flink)

  • Source of this description:
    https://github.com/docker-library/docs/tree/master/flink (https://github.com/docker-library/docs/commits/master/flink)

What is Apache Flink?

https://flink.apache.org/ is an open source stream processing framework with powerful stream- and batch-processing capabilities.

How to use Apache Flink with Docker?

Please refer to the official https://ci.apache.org/projects/flink/flink-docs-master/ about https://ci.apache.org/projects/flink/flink-docs-master/ops/deployment/docker.html.

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

      https://www.apache.org/licenses/LICENSE-2.0

Apache Flink, Flink®, Apache®, the squirrel logo, and the Apache feather logo are either registered trademarks or trademarks of https://apache.org/.

As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).

Some additional license information which was able to be auto-detected might be found in https://github.com/docker-library/repo-info/tree/master/repos/flink.

As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.

更多相关 Docker 镜像与资源

以下是 flink 相关的常用 Docker 镜像,适用于 不同场景 等不同场景:

  • bitnami/flink Docker 镜像说明(Apache Flink 流处理引擎,Bitnami 企业级配置)
  • apache/flink Docker 镜像说明(Apache Flink 流处理引擎,Apache 官方版本)
  • bitnami/spark Docker 镜像说明(Apache Spark 大数据处理引擎,Bitnami 企业级配置)
  • library/spark Docker 镜像说明(Apache Spark 大数据处理引擎,官方标准版本)
  • apache/spark Docker 镜像说明(Apache Spark 大数据处理引擎,Apache 官方版本)

镜像拉取方式

您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。

轩辕镜像加速拉取命令点我查看更多 flink 镜像标签

docker pull docker.xuanyuan.run/flink:<标签>

DockerHub 原生拉取命令

docker pull flink:<标签>

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