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https://issues.apache.org/jira/browse/FLINK-9021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16404738#comment-16404738
]
Xingcan Cui commented on FLINK-9021:
------------------------------------
Hi [~yizhou_liujiarui], yes, the distinct aggregate function has not been
supported yet [1]. But I think it will be added in future versions.
[1]
[https://ci.apache.org/projects/flink/flink-docs-master/dev/table/sql.html#unsupported-functions|https://ci.apache.org/projects/flink/flink-docs-master/dev/table/sql.html#unsupported-functions]
> 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 & SQL
> Affects Versions: 1.4.2
> Environment: java 8
> flink 1.4.2
> scala 2.11
> Reporter: yizhou
> Priority: Major
>
> 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:java}
> 2018-03-19 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
> {code}
>
> how can I implement this query
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