上面所有关于 Savepoints 的内容听起来与我们在之前的文章中对 Checkpoints 的介绍非常相似。
trx_savepoints：InnoDB 中多个 trx_named_savept_t 对象形成的链表。...用户线程中有一个 m_savepoints 链表，用户创建的多个 savepoint 通过 prev 属性形成链表，m_savepoints 就指向最新创建的 savepoint。...删除同名 savepoint 如果在用户线程的 m_savepoints 链表中找到了和本次创建的 savepoint 同名的 savepoint，需要先删除 m_savepoints 链表中的同名 savepoint...InnoDB 从事务对象的 trx_savepoints 链表中删除 trx_named_savept_t 对象之后，server 层接着从用户线程的 m_savepoints 链表中删除 server...server 层创建的 SAVEPOINT 对象会放入 m_savepoints 链表的末尾。
查找 savepoint 每个用户线程都有一个 m_savepoints 链表，用户每创建一个 savepoint，它的对象都会追加到链表末尾。...m_savepoints 链表的指针，指向最新加入的 savepoint 对象。...m_savepoints 链表的指针指向最新加入的 savepoint 对象，查找过程自然就是从后往前了。...从后往前遍历 m_savepoints 链表的过程中，如果当前遍历的 savepoint 对象名字等于要回滚的那个 savepoint 对象名字，就找到了，否则，继续往前遍历。...删除 savept3 之后，m_savepoints 链表如下图所示： 6. 总结 回滚到某个 savepoint，首先要从 m_savepoints 链表中找到这个 savepoint。
state.checkpoints.dir: hdfs://namenode-host:port/flink-checkpoints # Default target directory for savepoints..., optional. # # state.savepoints.dir: hdfs://namenode-host:port/flink-checkpoints # Flag to enable/...该目录必须对所有参与的TaskManagers及JobManagers可见 state.checkpoints.num-retained，默认为1，用于指定保留的已完成的checkpoints个数 state.savepoints.dir...，默认为none，用于指定savepoints的默认目录 taskmanager.state.local.root-dirs，默认为none 小结 可以通过使用StreamExecutionEnvironment.enableCheckpointing...的相关配置，主要是state backend的配置，比如state.backend.async、state.backend.incremental、state.checkpoints.dir、state.savepoints.dir
# Default target directory for savepoints, optional. # # state.savepoints.dir: hdfs://namenode-host:port.../flink-savepoints state.savepoints.dir: hdfs://bd171:8020/sp 二、在 Dinky 中恢复 FlinkSQL 作业 创建 Yarn Session
PERFORMANCE_SCHEMA Support: YES Comment: Performance Schema Transactions: NO XA: NO Savepoints...Comment: Supports transactions, row-level locking, and foreign keys Transactions: YES XA: YES Savepoints...Support: YES Comment: Collection of identical MyISAM tables Transactions: NO XA: NO Savepoints.../dev/null storage engine (anything you write to it disappears) Transactions: NO XA: NO Savepoints...Engine: MyISAM Support: YES Comment: MyISAM storage engine Transactions: NO XA: NO Savepoints
ENGINE 存储引擎的名称 SUPPORT 存储引擎的支持级别，后面做介绍 COMMENT 对于该存储引擎的一个简介 TRANSACTIONS 该存储引擎是否支持事务 XA 该存储引擎是否支持分布式事务 SAVEPOINTS...该存储引擎是否支持保存点(SAVEPOINTS) 接下来对上面的一些栏位做进一步的介绍 1.1 存储引擎的支持级别 该表的SUPPORT栏位有如下可能的值 值 意义 YES 引擎是被支持的且被激活 DEFAULT
Connection connection = null; PreparedStatement preparedStatement=null; LinkedList savepoints...// 设置回滚点 Savepoint savepoint = connection.setSavepoint(); savepoints.addLast...= connection){ try { //Savepoint sp = savepoints.getLast();...Savepoint sp = savepoints.get(4); if(null !
集群迁移与回滚在跨集群迁移或版本升级失败时，Savepoint提供状态级回滚能力：# 从旧集群导出Savepointflink savepoint job-123 hdfs://old-cluster/savepoints...# 在新集群恢复作业flink run -s hdfs://old-cluster/savepoints/savepoint-abc123 MyApp.jar此过程无需重新处理原始数据，大幅缩短迁移时间...解决方案：使用@SavepointMigration注解处理状态迁移通过StateMigration工具手动转换格式保留历史版本的StateDescriptor定义资源优化策略压缩存储：配置state.savepoints.dir...使用Snappy压缩state.savepoints.dir: hdfs:///flink/savepoints?...compression=SNAPPY增量清理：设置state.savepoints.cleanup-strategy避免存储膨胀冷热分离：将近期Savepoint存HDFS，历史归档至S3Checkpoint
. */ @Nullable private final Path baseCheckpointPath; /** The path where savepoints will...* @param baseSavepointPath The default directory for savepoints, or null, if none is set....* @param baseSavepointPath The default directory for savepoints, or null, if none is set....* * @return The default directory for savepoints, or null, if no default directory has been...File State Backend (" + "checkpoints: '" + getCheckpointPath() + "', savepoints
. */ @Nullable private final Path baseCheckpointPath; /** The path where savepoints will...* @param baseSavepointPath The default directory for savepoints, or null, if none is set....* @param baseSavepointPath The default directory for savepoints, or null, if none is set....* * @return The default directory for savepoints, or null, if no default directory has been...File State Backend (" + "checkpoints: '" + getCheckpointPath() + "', savepoints
Savepoint目录，有两种方式来指定 需要配置Savepoint的默认路径，需要在Flink的配置文件conf/flink-conf.yaml中，添加如下配置，设置Savepoint存储目录 state.savepoints.dir...: hdfs://namenode01.td.com/flink/flink-savepoints 手动执行savepoint命令的时候，指定Savepoint存储目录 bin/flink savepoint...Savepoint数据 bin/flink savepoint 40dcc6d2ba90f13930abce295de8d038 hdfs://namenode01.td.com/tmp/flink/savepoints...savepointPath [:runArgs] 以上面保存的Savepoint为例，恢复Job运行 bin/flink run -s hdfs://namenode01.td.com/tmp/flink/savepoints
. */ @Nullable private final Path baseCheckpointPath; /** The path where savepoints will...MemoryStateBackend, setting optionally the path to persist checkpoint metadata * to, and to persist savepoints...* @param savepointPath The path to write savepoints to....Creates a new MemoryStateBackend, setting optionally the paths to persist checkpoint metadata * and savepoints...* @param savepointPath The path to write savepoints to.
其实我们可以使用SQL Server中的Savepoints来解决上述问题。 示例如下： 1.先建立测试表: CREATE TABLE [dbo]....values(4,’4′); rollback tran point1 commit 执行结果如下： Id mark 3 3 可见，虽然3，4都在一个事务中，但是由于使用了SavePoints
. */ @Nullable private final Path baseCheckpointPath; /** The path where savepoints will...MemoryStateBackend, setting optionally the path to persist checkpoint metadata * to, and to persist savepoints...* @param savepointPath The path to write savepoints to....Creates a new MemoryStateBackend, setting optionally the paths to persist checkpoint metadata * and savepoints...* @param savepointPath The path to write savepoints to.
但是，你可以配置检查点定期持久化存储在外部系统中，类似于保存点(savepoints)。这些外部持久化的检查点将其元数据写入持久性存储中，即使在作业失败时也不会自动清除。...checkpointMetaDataPath [:runArgs] 备注: Flink版本:1.4 术语翻译: 术语 翻译 Checkpoints 检查点 Externalized Checkpoints 外部检查点 savepoints
第五步：修改配置并验证效果最终，我们决定显式设置 state.checkpoints.dir 和 state.savepoints.dir，并将它们指向一个稳定的共享存储路径（如 HDFS 或 S3）。...state.backend=rocksdbstate.checkpoints.dir=hdfs:///flink/checkpointsstate.savepoints.dir=hdfs:///flink.../savepoints在更新配置后，我们重新部署了作业，并观察了日志，发现 Checkpoint 失败的情况明显减少，作业运行更加稳定。
十三，Savepoints 使用Data Stream API编写的程序可以从Savepoints恢复执行。Savepoints允许更新程序和Flink集群，而不会丢失任何状态。...Savepoints 是手动触发的checkpoints，它们记录程序的快照并将其写入状态后端。他们依靠这个常规的检查点机制。执行过程中，定期在工作节点上快照并生成检查点。...Savepoints 与这些定期checkpoints类似，除了它们由用户触发，并且在较新的检查点完成时不会自动过期。可以从命令行创建保存点，也可以通过REST API取消作业。
ALTER SYSTEM SET wal_level = 'minimal'; 4.3 Savepoints Savepoints 允许事务在进行部分回滚时定义一个保存点，以便稍后可以回到该点继续执行。...可以使用 SAVEPOINT 和 ROLLBACK TO 语句来操作 Savepoints。
Managers, Task Managers, Clients 作业管理器，任务管理器，客户端 Task Slots and Resources 任务执行槽和资源 State Backends 转态后端 Savepoints...Savepoints 保存点 用数据流API写的程序可以从一个保存点恢复执行。保存点可以在不丢失状态的情况下更新你的程序和Flink集群。...保存点Savepoints 是人工触发的检查点，保存点就是把程序的执行做个快照并且写入状态端。用常规检查点机制就可以做到这样的。在执行时，程序会被周期性的在工作节点上做快照，并且产生检查点。
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