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本文围绕Flink SQL实时数据处理中的Changelog事件乱序问题，分析了Flink SQL中Changelog事件乱序问题的原因，并提供了解决方案以及处理Changelog事件乱序的建议。以帮助您更好地理解Changelog的概念和应用，更加高效地使用Flink SQL进行实时数据处理。

阿里云文档 2024-11-12

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状态管理不仅影响应用的性能，还关系到系统的稳定性和资源的有效利用。如果状态管理不当，可能会导致性能下降、资源耗尽，甚至系统崩溃。本文为您介绍SQL作业大状态导致反压的调优原理与方法。

阿里云文档 2024-06-27

DataStream作业大状态导致反压的调优方法

状态管理不仅影响应用的性能，还关系到系统的稳定性和资源的有效利用。如果状态管理不当，可能会导致性能下降、资源耗尽，甚至系统崩溃。Flink Datastream API在状态管理方面提供了非常灵活的接口，您可以采取相关措施来确保状态大小可控，避免状态的无限制增长。

文章 2022-04-25 来自：开发者社区

Flink原理简介和使用(3)

a 、 Flink采用一种成为任务链的优化技术可以在指定条件下减少本地通信开销为了满足任务链的要求必须将两个或多个算子设为相同的并行度并通过本地转发的方式连接(local forward) b、相同并行度one to one操作 Flink这样相连的算子链接在一起形成一个task 原来的算子成为里面的subtask c、并行度相同、并且是One-to-One操作两个条件缺一不可 .....

文章 2022-04-25 来自：开发者社区

所有的Flink由三部分组成 Source、Transformation、SinkSource负责读取数据源 Transformation利用各种算子进行处理加工 Sink负责输出在运行时 Flink上运行的程序会被映射成 "逻辑数据流" dataflows 它包含了这三部分每一个dataflow以一个或多个sources开始以一个或多个sinks结束dataflow类似于任意的有向无环图....

文章 2022-04-25 来自：开发者社区

Flink原理简介和使用(1)

客户端不是运行时和程序执行的一部分但它用于准备并发送dataflow（JobGraph）给Master(JobManager) 然后客户端断开连接或维持连接以等待接受计算结果当Flink集群启动后首先会启动一个JobManager和一个或多个TaskManager去执行然后TaskManager将心跳和统计信息汇报给JobManager TaskManager之间以流的形式进行数据传输.....

文章 2022-04-25 来自：开发者社区

Flink部署、使用、原理简介（下）

任务执行细节详见流处理开源框架Flink原理简介和使用简单使用了flink之后，接下来咱刨析下flink运行的原理原理介绍Flink运行组件Flink是通过Java和Scala实现的所以所有组件都运行在Java虚拟机上作业管理器(JobManager)控制一个应用程序执行的主进程每个应用程序都会被一个不同的JobManager所控制执行JobManager会先接受到要执行的应用程序这个应用....

文章 2022-04-25 来自：开发者社区

流处理开源框架Flink原理简介和使用（2）

Flink特点事件驱动型(Event-driven)事件驱动型应用是一类具有状态的应用他从一个或多个事件流提取数据并根据到来的事件触发计算、状态更新或其他的外部动作以kafka为代表的消息队列几乎都是事件驱动型应用无界数据流：有一个开始但没有结束不会在生成时终止并提供数据必须连续处理无界流即必须在获取后立即处理对于无界流无法等待所有数据都到达因为输入是无界的并且在任何时间点都...

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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

产品控制台

产品文档

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