实时计算 Flink版自适应的相关内容

文章 2025-03-31 来自：开发者社区

Flink批处理自适应执行计划优化

摘要：本文整理自阿里集团爱橙科技高级开发工程师、Apache Flink Contributor孙夏老师在Flink Forward Asia 2024 核心技术（二）专场中的分享。内容主要为以下三部分： 1、自适应逻辑执行计划 2、自适应 Join 算子优化 3、未来展望 01、自适应逻辑执行计划 1.1作业的执行计划首先，让我们先来简单回顾下目前Flink支持了哪些执行计划。左边...

问答 2024-08-07 来自：开发者社区

Flink 1.15 引入的自适应批处理调度器的主要优点是什么？

文章 2023-01-10 来自：开发者社区

摘要：本文整理自阿里云高级技术专家朱翥，在 FFA 核心技术专场的分享。本篇内容是关于在过去的一年中，Apache Flink 对运行时的作业执行管控进行的一些改进。这些改进，让 Flink 可以更好的利用运行时的信息，来灵活的控制作业的执行，从而使得 Flink 批处理作业的执行可以更加的稳定、更有效率，并且更容易运维。详细内容主要分为两个部分：自适应执行计划同源实例的并行执行点击查看直播回放....

文章 2022-12-30 来自：开发者社区

《朱翥、贺小令｜更快更稳更易用：Flink 自适应批处理能力演》电子版地址

《朱翥、贺小令｜更快更稳更易用：Flink 自适应批处理能力演》朱翥、贺小令｜更快更稳更易用：Flink 自适应批处理能力演电子版下载地址： https://developer.aliyun.com/ebook/7765 电子书： </div>

文章 2022-11-03 来自：开发者社区

更快更稳更易用: Flink 自适应批处理能力演进

本文整理自阿里巴巴高级技术专家朱翥、阿里巴巴高级技术专家贺小令在 9 月 24 日 Apache Flink Meetup 的演讲。主要内容包括：Adaptive Batch SchedulerSpeculative ExecutionHybrid ShuffleDynamic Partition Pruning点击查看原文视频 & 演讲PPT Flink 是流批一体计算框架，早些年主要....

文章 2022-06-17 来自：开发者社区

自适应批作业调度器：为 Flink 批作业自动推导并行度

作者｜王立杰 & 朱翥点击进入 Flink 中文学习网一、引言对大部分用户来说，为 Flink 算子配置合适的并行度并不是一件容易的事。对于批作业，小的并行度会导致作业运行时间长，故障恢复慢，而不必要的大并行度会导致资源浪费，任务部署和数据 shuffle 开销也会变大。为了控制批作业的执行时长，算子的并行度应该和其需要处理的数据量成正比。用户需要通过预估算子需要处理的数据量来配置并行度....

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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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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