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[Flink]Flink1.3 Stream指南八图解事件时间与Watermarks

如果你正在构建实时流处理应用程序，那么事件时间处理是你迟早必须使用的功能之一。因为在现实世界的大多数用例中，消息到达都是无序的，应该有一些方法，通过你建立的系统知道消息可能延迟到达，并且有相应的处理方案。在这篇博文中，我们将看到为什么我们需要事件时间处理，以及我们如何在ApacheFlink中使用它...

[Flink]Flink1.3 Stream指南七理解事件时间与Watermarks

Flink实现了数据流模型(Dataflow Model)中许多技术。如果想对事件时间(event time)和水位线(watermarks)更详细的了解，请参阅下面的文章: The world beyond batch: Streaming 101 The Dataflow Model 支持事件时...

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更新时间 2022-11-08 15:57:57

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实时计算Flink版

阿里云实时计算Flink版(Alibaba Cloud Realtime Compute)，完全兼容开源的Apache Flink，比开源性能提升2～3倍，提供了完整的告警、监控、日志的解决方案、提升开发效率且无运维成本，并有社区专家提供技术支持。

立即开通

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实时同步

MySQL 到 Hologres

Kafka 到 Hologres

功能对比

开源Flink对比

成本优化

作业自动调优