实时计算 Flink版checkpointing 的相关内容

文章 2024-10-19 来自：开发者社区

分布式锁服务深度解析：以Apache Flink的Checkpointing机制为例

背景在分布式系统中，多个进程或节点可能需要同时访问和操作共享资源。为了确保数据的一致性和系统的稳定性，我们需要一种机制来协调这些进程或节点的访问，避免并发冲突和竞态条件。分布式锁服务正是为此而生的一种解决方案。它通过在网络环境中实现锁机制，确保同一时间只有一个进程或节点能够访问和操作共享资源。使用场景分布式锁服务在多种场景下都有广泛的应用。例如： ...

问答 2024-08-21 来自：开发者社区

影响 Flink Checkpointing 时间的主要因素有哪些？

问答 2024-08-21 来自：开发者社区

Flink 1.15 版本中引入了哪个重要的新特性来改进 Checkpointing？

文章 2023-11-08 来自：开发者社区

Apache Flink 中，当你开启 Checkpointing 时

在 Apache Flink 中，当你开启 Checkpointing 时，Flink 将会对数据进行增量 checkpoint，这样可以在故障发生时恢复到特定的状态。然而，根据你的描述，似乎在开启 Checkpointing 时，数据量变大了。这可能是由于以下原因：全量同步的数据：...

文章 2022-02-16 来自：开发者社区

分布式Snapshot和Flink Checkpointing简介

阿里巴巴实时计算部-昆仑最近在学习Flink的Fault Tolerance，了解到Flink在Chandy Lamport Algorithm的基础上扩展实现了一套分布式Checkpointing机制，这个机制在论文"Lightweight Asynchronous Snapshots for Distributed Dataflows"中进行了详尽的描述。怀着对Lamport大神的敬仰，我....

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更新时间 2024-10-20 09:09:27

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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。

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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