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Posted to issues@flink.apache.org by "gaoling ma (Jira)" <ji...@apache.org> on 2020/07/17 11:49:00 UTC
[jira] [Updated] (FLINK-18626) the result of aggregate SQL on
streaming cannot write to upsert table sink
[ https://issues.apache.org/jira/browse/FLINK-18626?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
gaoling ma updated FLINK-18626:
-------------------------------
Issue Type: Bug (was: Improvement)
> the result of aggregate SQL on streaming cannot write to upsert table sink
> ---------------------------------------------------------------------------
>
> Key: FLINK-18626
> URL: https://issues.apache.org/jira/browse/FLINK-18626
> Project: Flink
> Issue Type: Bug
> Components: Connectors / JDBC, Table SQL / API
> Affects Versions: 1.11.0
> Reporter: gaoling ma
> Priority: Major
>
> {code:java}
> StreamExecutionEnvironment bsEnv = StreamExecutionEnvironment.getExecutionEnvironment();
> EnvironmentSettings bsSettings = EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build();
> StreamTableEnvironment bsTableEnv = StreamTableEnvironment.create(bsEnv, bsSettings);
> bsEnv.setParallelism(1);
> ......
> bsTableEnv.executeSql("CREATE TABLE aaa(\n" +
> " `area_code` VARCHAR,\n" +
> " `stat_date` DATE,\n" +
> " `index` BIGINT,\n" +
> " PRIMARY KEY (area_code, stat_date) NOT ENFORCED" +
> ") WITH (\n" +
> " 'connector' = 'jdbc',\n" +
> " 'url' = 'jdbc:mysql://***/laowufp_data_test',\n" +
> " 'table-name' = 'aaa',\n" +
> " 'driver' = 'com.mysql.cj.jdbc.Driver',\n" +
> " 'username' = '***',\n" +
> " 'password' = '***'\n" +
> ")");
>
> bsTableEnv.executeSql("INSERT INTO aaa SELECT area_code, CURRENT_DATE AS stat_date, count(*) AS index FROM bbb WHERE is_record = '是' GROUP BY area_code");
> {code}
> When I write the aggregate SQL results into upsert stream JDBC table sink, the program automatically exits with no hint.
> The aggregate results suppose to be a restract stream, but another question is how to change the restract stream into upsert stream. Or there is a better way to continuous update the aggregate SQL results into JDBC table. Your comment is appreciated.
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