[ 
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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