为什么要 GROUP BY id,name ,description, weight ?
直接 "INSERT INTO sink SELECT  id,name ,description, weight FROM
debezium_source" 不能满足需求?

曹武 <14701319...@163.com> 于2020年7月16日周四 下午9:30写道:

> 我在使用flink 1.11.0中得ddl 部分 采用debezium-json做cdc得时候
> 从checkpoint恢复以后,新来op=d的数据会删除失败
> 重启命令:./bin/flink run -m yarn-cluster  /root/bigdata-flink-1.0.jar -s
>
> hdfs://prehadoop01:8020/flink/checkpoints/4cc5df8b96e90c1c2a4d3719a77f51d1/chk-819/_metadata
> 代码:   EnvironmentSettings settings = EnvironmentSettings.newInstance()
>                 .useBlinkPlanner()
>                 .inStreamingMode()
>                 .build();
>
>         StreamExecutionEnvironment env =
> StreamExecutionEnvironment.getExecutionEnvironment();
>
>         env.enableCheckpointing(1000, CheckpointingMode.EXACTLY_ONCE);
>         env.getCheckpointConfig().setCheckpointTimeout(6000L); // 超时时间
>         env.getCheckpointConfig().setMaxConcurrentCheckpoints(1); //
> 最大允许同时出现几个CheckPoint
>         env.getCheckpointConfig().setMinPauseBetweenCheckpoints(10L); //
> 最小得间隔时间
>         env.getCheckpointConfig().setPreferCheckpointForRecovery(true); //
> 是否倾向于用CheckPoint做故障恢复
>         env.getCheckpointConfig().setTolerableCheckpointFailureNumber(1);
> //
> 容忍多少次CheckPoint失败
>         //Checkpoint文件清理策略
>
>
> env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
>         //Checkpoint外部文件路径
>         env.setStateBackend(new FsStateBackend(new
> URI("hdfs://172.22.20.205:8020/flink/checkpoints"), false));
> TimeUnit.MINUTES), Time.of(10, TimeUnit.SECONDS)));
>         StreamTableEnvironment tEnv = StreamTableEnvironment.create(env,
> settings);
>         String sourceDDL = String.format(
>                 "CREATE TABLE debezium_source (" +
>                         " id INT NOT NULL," +
>                         " name STRING," +
>                         " description STRING," +
>                         " weight Double" +
>                         ") WITH (" +
>                         " 'connector' = 'kafka-0.11'," +
>                         " 'topic' = '%s'," +
>                         " 'properties.bootstrap.servers' = '%s'," +
>                         " 'scan.startup.mode' = 'group-offsets'," +
>                         " 'format' = 'debezium-json'" +
>                         ")", "ddd", " 172.22.20.206:9092");
>         String sinkDDL = "CREATE TABLE sink (" +
>                 " id INT NOT NULL," +
>                 " name STRING," +
>                 " description STRING," +
>                 " weight Double," +
>                 " PRIMARY KEY (id,name, description,weight) NOT ENFORCED "
> +
>                 ") WITH (" +
>                 " 'connector' = 'jdbc'," +
>                 " 'url' =
> 'jdbc:mysql://172.27.4.22:3306/test?autoReconnect=true'," +
>                 " 'table-name' = 'products'," +
>                 " 'driver'= 'com.mysql.cj.jdbc.Driver'," +
>                 " 'username'='DataPip'," +
>                 " 'password'='DataPip'" +
>                 ")";
>         String dml = "INSERT INTO sink SELECT  id,name ,description, weight
> FROM debezium_source GROUP BY id,name ,description, weight";
>         tEnv.executeSql(sourceDDL);
>         tEnv.executeSql(sinkDDL);
>         tEnv.executeSql(dml);
>
>
>
> --
> Sent from: http://apache-flink.147419.n8.nabble.com/
>

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