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Posted to dev@flink.apache.org by "yizhou (JIRA)" <ji...@apache.org> on 2018/03/19 11:37:00 UTC

[jira] [Created] (FLINK-9021) org.apache.flink.table.codegen.CodeGenException: Unsupported call: TUMBLE

yizhou created FLINK-9021:
-----------------------------

             Summary: org.apache.flink.table.codegen.CodeGenException: Unsupported call: TUMBLE 
                 Key: FLINK-9021
                 URL: https://issues.apache.org/jira/browse/FLINK-9021
             Project: Flink
          Issue Type: Bug
          Components: Table API &amp; SQL
    Affects Versions: 1.4.2
         Environment: java 8

flink 1.4.2

scala 2.11
            Reporter: yizhou


I have a stream like this: {{<_time(timestamp), uri(string), userId(int)>}}. The {{_time}} attribute is rowtime and I register it as a table:

{{tableEnv.registerDataStream("userVisitPage", stream, "_time.rowtime, uri,userId");}}

{{Then I query the table:}}
{code:java}
final String sql = "SELECT tumble_start(_time, interval '10' second) as timestart, " 
                   + " count(distinct userId) as uv, "
                   + " uri as uri, "
                   + " count(1) as pv " 
                   +  "FROM userVisitPage " 
                   + "GROUP BY tumble(_time, interval '10' second), uri";
final Table table = tableEnv.sqlQuery(sql);

tableEnv.toRetractStream(table, Row.class);
{code}
{{but occur exceptions:}}{{}}

 

 

{{// code placehol2018-03-19 19:30:53,881 ERROR [com.qunhe.logcomplex.oceanus.util.TaskSubmitter] - main - submit task failed org.apache.flink.table.codegen.CodeGenException: Unsupported call: TUMBLE If you think this function should be supported, you can create an issue and start a discussion for it. at org.apache.flink.table.codegen.CodeGenerator$$anonfun$visitCall$3.apply(CodeGenerator.scala:1006) at org.apache.flink.table.codegen.CodeGenerator$$anonfun$visitCall$3.apply(CodeGenerator.scala:1006) at scala.Option.getOrElse(Option.scala:121) at org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:1006) at org.apache.flink.table.codegen.CodeGenerator.visitCall(CodeGenerator.scala:67) at org.apache.calcite.rex.RexCall.accept(RexCall.java:107) at org.apache.flink.table.codegen.CodeGenerator.generateExpression(CodeGenerator.scala:234) at org.apache.flink.table.codegen.CodeGenerator$$anonfun$7.apply(CodeGenerator.scala:321) at org.apache.flink.table.codegen.CodeGenerator$$anonfun$7.apply(CodeGenerator.scala:321) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at scala.collection.AbstractTraversable.map(Traversable.scala:104) at org.apache.flink.table.codegen.CodeGenerator.generateResultExpression(CodeGenerator.scala:321) at org.apache.flink.table.plan.nodes.CommonCalc$class.generateFunction(CommonCalc.scala:44) at org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.generateFunction(DataStreamCalc.scala:43) at org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.translateToPlan(DataStreamCalc.scala:116) at org.apache.flink.table.plan.nodes.datastream.DataStreamGroupAggregate.translateToPlan(DataStreamGroupAggregate.scala:113) at org.apache.flink.table.plan.nodes.datastream.DataStreamGroupAggregate.translateToPlan(DataStreamGroupAggregate.scala:113) at org.apache.flink.table.plan.nodes.datastream.DataStreamCalc.translateToPlan(DataStreamCalc.scala:97) at org.apache.flink.table.api.StreamTableEnvironment.translateToCRow(StreamTableEnvironment.scala:837) at org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:764) at org.apache.flink.table.api.StreamTableEnvironment.translate(StreamTableEnvironment.scala:734) at org.apache.flink.table.api.java.StreamTableEnvironment.toRetractStream(StreamTableEnvironment.scala:414) at org.apache.flink.table.api.java.StreamTableEnvironment.toRetractStream(StreamTableEnvironment.scala:357)der}}{{}}

 

how can I implement this query



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