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Fan weiwen commented on FLINK-6966: ----------------------------------- [~sunjincheng121] This is the problem, is it solved? i have a similar problem the job has two process one table one sink for example A // view select a,b, count(*) as acnt from kafka group by hop( rowtime, interval '2' second, interval '60' minute ), a, b Table table = tableEnv.sqlQuery(sql); tableEnv.registerTable(Aname, table); // sink sinksql = select a,b,ant from Aname Table table = tableEnv.sqlQuery(sinksql); DataStream<Row> ds = tableEnv.toAppendStream(table, Row.class); ds.addSink(...); B // view sql = select a,c, count(*) as bnt from kafka group by hop( rowtime, interval '2' second, interval '60' minute ), a, c Table table = tableEnv.sqlQuery(sql); tableEnv.registerTable(Bname, table); // sink sinksql = select a,c,bnt from Bname Table table = tableEnv.sqlQuery(sinksql); DataStream<Row> ds = tableEnv.toAppendStream(table, Row.class); ds.addSink(...); --------- now the job start A, stop B then stop A , cancel and savepoint start B , from savepoint B sink sinksql = select a,c,bnt from Bname problem is B sink fetch data from A state State is not maintained only, not uid and operator id english is pool , can chinese exchange ? > Add maxParallelism and UIDs to all operators generated by the Table API / SQL > ----------------------------------------------------------------------------- > > Key: FLINK-6966 > URL: https://issues.apache.org/jira/browse/FLINK-6966 > Project: Flink > Issue Type: Improvement > Components: Table API & SQL > Affects Versions: 1.4.0 > Reporter: Fabian Hueske > Priority: Major > > At the moment, the Table API does not assign UIDs and the max parallelism to > operators (except for operators with parallelism 1). > We should do that to avoid problems when rescaling or restarting jobs from > savepoints. -- This message was sent by Atlassian JIRA (v7.6.3#76005)