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Posted to issues@flink.apache.org by "gaoling ma (Jira)" <ji...@apache.org> on 2020/07/17 11:48:00 UTC

[jira] [Created] (FLINK-18626) the result of aggregate SQL on streaming cannot write to upsert table sink

gaoling ma created FLINK-18626:
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             Summary: 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: Improvement
          Components: Connectors / JDBC, Table SQL / API
    Affects Versions: 1.11.0
            Reporter: gaoling ma



{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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