Apache Flink® - 数据流上的有状态计算



所有流式场景
  • 事件驱动应用
  • 流批分析
  • 数据管道 & ETL
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正确性保证
  • Exactly-once 状态一致性
  • 事件时间处理
  • 成熟的迟到数据处理
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分层 API
  • SQL on Stream & Batch Data
  • DataStream API & DataSet API
  • ProcessFunction (Time & State)
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聚焦运维
  • 灵活部署
  • 高可用
  • 保存点
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大规模计算
  • 水平扩展架构
  • 支持超大状态
  • 增量检查点机制
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性能卓越
  • 低延迟
  • 高吞吐
  • 内存计算
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Batch as a Special Case of Streaming and Alibaba's contribution of Blink
A few weeks ago, Alibaba contributed its Flink-fork 'Blink' back to Apache Flink. In this blog post we discuss how Blink's features will help the Flink community to make a big step towards its vision to build a truly unified system for stream and batch processing.
Apache Flink 1.5.6 Released

The Apache Flink community released the sixth and last bugfix version of the Apache Flink 1.5 series.

Apache Flink 1.6.3 Released

The Apache Flink community released the third bugfix version of the Apache Flink 1.6 series.

Apache Flink 1.7.1 Released

The Apache Flink community released the first bugfix version of the Apache Flink 1.7 series.

Apache Flink 1.7.0 Release Announcement

The Apache Flink community is pleased to announce Apache Flink 1.7.0. The latest release includes more than 420 resolved issues and some exciting additions to Flink that we describe in the following sections of this post. Please check the complete changelog for more details.