Hudi系列25: Flink SQL使用checkpoint恢复job异常_flink 从checkpoint恢复

一. 通过Flink SQL将MySQL数据写入Hudi

启动Yarn Session

$FLINK_HOME/bin/yarn-session.sh -jm 16384 -tm 16384 -d  2>&1 &

/home/flink-1.14.5/bin/sql-client.sh embedded -s yarn-session 
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Flink SQL 代码:

-- 设置checkpoint的时间间隔
set execution.checkpointing.interval=60sec;
-- 设置任务结束后不清空checkpoint文件，便于后续恢复
set execution.checkpointing.externalized-checkpoint-retention=RETAIN_ON_CANCELLATION;
-- 同时只能有一个checkpoint进程
set execution.checkpointing.max-concurrent-checkpoints=1;

CREATE TABLE flink_mysql_cdc1 (
    id BIGINT NOT NULL PRIMARY KEY NOT ENFORCED,
    name varchar(100)
  ) WITH (
    'connector' = 'mysql-cdc',
    'hostname' = 'hp8',
    'port' = '3306',
    'username' = 'root',
    'password' = 'abc123',
    'database-name' = 'test',
    'table-name' = 'mysql_cdc',
    'server-id' = '5409-5415',
    'scan.incremental.snapshot.enabled'='true'
);

CREATE TABLE flink_hudi_mysql_cdc1(
    id BIGINT NOT NULL PRIMARY KEY NOT ENFORCED,
    name varchar(100)
  ) WITH (
   'connector' = 'hudi',
   'path' = 'hdfs://hp5:8020/tmp/hudi/flink_hudi_mysql_cdc1',
   'table.type' = 'MERGE_ON_READ',
   'changelog.enabled' = 'true',
   'hoodie.datasource.write.recordkey.field' = 'id',
   'write.precombine.field' = 'name',
   'compaction.async.enabled' = 'true',
   'hive_sync.enable' = 'true',
   'hive_sync.table' = 'flink_hudi_mysql_cdc1',
   'hive_sync.db' = 'test',
   'hive_sync.mode' = 'hms',
   'hive_sync.metastore.uris' = 'thrift://hp5:9083',
   'hive_sync.conf.dir'='/home/apache-hive-3.1.2-bin/conf'
);


set table.exec.resource.default-parallelism=4;

insert into flink_hudi_mysql_cdc1 select * from flink_mysql_cdc1;
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Flink web界面:
2000w数据初始化已经完成

checkpoint日志量真的多

hdfs查看checkpoint日志量

二. 模拟Flink任务异常

2.1 手工停止job

在Flink web界面将Flink SQL任务手工结束掉

2.2 指定checkpoint来恢复数据

查找最近的checkpoint:

代码:

set 'execution.savepoint.path'='hdfs://hp5:8020/vmcluster/flink-checkpoints/a2874606453b4aebfdaca2f627355f99/chk-23';

insert into flink_hudi_mysql_cdc1 select * from flink_mysql_cdc1;
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2.3 整个yarn-session上的任务恢复

待测试:
如果是整个yarn-session异常，也可以启动yarnsession的时候指定checkpoint。

$FLINK_HOME/bin/yarn-session.sh -jm 8192 -tm 8192 -d -s hdfs://hp5:8020/vmcluster/flink-checkpoints/c12eb538c2e8965d2d94c170b67641f2/chk-1/_metadata

/home/flink-1.14.5/bin/sql-client.sh embedded -s yarn-session 
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三. 模拟源端异常

3.1 手工关闭源端 MySQL 服务

service mysqld stop
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3.2 FLink任务查看

Flink可以自己重试，这个还是比较不错，无需人工干预。

等mysql启动成功之后，任务又可以继续衔接上。

FAQ:

1. checkpoint未写入数据

别人的checkpoint

我的checkpoint
看来是我的checkpoint都没成功

修改checkpoint时间间隔:

-- 修改前:
set execution.checkpointing.interval=10sec;

-- 修改后:
set execution.checkpointing.interval=60sec;
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2. checkpoint 失败

报错信息:

Checkpoint Coordinator is suspending.
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解决方案:
把yarn-session的资源由8G提升到16G问题解决。

对于一些大表，最好还是先通过Spark进行初始化，然后在接增量。

3. 手工取消Flink job后，checkpoint文件自动删除

https://developer.aliyun.com/ask/435979
http://events.jianshu.io/p/032396543ceb

在网上看到的资源都是针对代码级别的，没有看到Flink SQL级别的
还是得上官网查找
https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/deployment/config/

set execution.checkpointing.externalized-checkpoint-retention=RETAIN_ON_CANCELLATION;
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参考:

1. https://blog.csdn.net/qq_31866793/article/details/103069646