WebApr 13, 2024 · Flink详解系列之八--Checkpoint和Savepoint. 获取分布式数据流和算子状态的一致性快照是Flink容错机制的核心,这些快照在Flink作业恢复时作为一致性检查点存 … WebCheckpoints Overview Checkpoints make state in Flink fault tolerant by allowing state and the corresponding stream positions to be recovered, thereby giving the application the same semantics as a failure-free execution. See Checkpointing for how to enable and configure checkpoints for your program.
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WebNov 7, 2024 · savepoint 和 checkpoint 区别. 从概念上讲,Flink的Savepoints与Checkpoints的不同之处在于备份与传统数据库系统中的恢复日志不同。检查点的主要目的是在意外的作业失败时提供恢复机制。Checkpoint的生命周期由Flink管理,即Flink创建,拥有和发布Checkpoint - 无需用户交互。 WebDec 22, 2024 · If I enable incremental checkpoint, When will the data be compacted away? I read the doc and know that there are two kinds of "compaction": 1. rocksDB compaction will happen when delete api is called and done in background. 2. flink use rocksDb metadata file and "compact" useless sst files across checkpoints. dashboard fanatec
Flink-checkPoint机制 智能后端和架构
WebMar 2, 2024 · savepoint是一种人为主动触发生成的checkpoint,所以checkpoint/savepoint 恢复的原理是一样的。 下面以工作中比较常见的某个task失败,作业如何恢复为例进行介绍。 2. 状态分配 首先说明下Task的状态state都有哪些,可以看ExecutionState.java类 CREATED, SCHEDULED, DEPLOYING, RUNNING, … WebApr 8, 2024 · 以上就是Flink任务提交的整体流程信息,在Flink中任务提交还有多种模式,不同的Flink集群部署模式支持的任务提交模式不同,对应的任务执行流程略有不同,向Flink集群中提交任务有三种任务部署模式,分别如下:. 会话模式 - Session Mode. 单作业模式 - Per-Job Mode ... WebNov 2, 2024 · Checkpoints and Savepoints are two different features in Apache Flink that serve different needs to ensure consistency, fault-tolerance and make sure that the application state is persisted both in case of unexpected job failures (with Checkpoints) as well as in cases of upgrades, bug fixes, migrations or A/B testing (with Savepoints). dashboard examples in excel