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Posted to issues@flink.apache.org by "mzz (Jira)" <ji...@apache.org> on 2020/07/08 10:16:00 UTC

[jira] [Issue Comment Deleted] (FLINK-18511) Unsupported call: TUMBLE_END(TIME(0), INTERVAL SECOND(3) NOT NULL)

     [ https://issues.apache.org/jira/browse/FLINK-18511?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

mzz updated FLINK-18511:
------------------------
    Comment: was deleted

(was: [~jark]
my code is this :

{code:java}
app_time BIGINT, -- 13位的时间戳(1587975971)
   ts AS TO_TIMESTAMP(FROM_UNIXTIME(app_time , 'yyyy-MM-dd HH:mm:ss')), -- 定义事件时间
   WATERMARK FOR ts AS ts - INTERVAL '5' SECOND   -- 在ts上定义5 秒延迟的 watermark

{code}
it always reported error :

{code:java}
org.apache.flink.table.api.SqlParserException: SQL parse failed. Encountered "count ," at line 1, column 562.
{code}

)

> Unsupported call: TUMBLE_END(TIME(0), INTERVAL SECOND(3) NOT NULL)
> ------------------------------------------------------------------
>
>                 Key: FLINK-18511
>                 URL: https://issues.apache.org/jira/browse/FLINK-18511
>             Project: Flink
>          Issue Type: Bug
>          Components: Table SQL / API
>    Affects Versions: 1.10.0
>            Reporter: mzz
>            Priority: Critical
>
> I use Schema like this :
> {code:java}
> val schema = new Schema()
>         .field("rowtimes", DataTypes.TIME(3)).rowtime(new Rowtime().timestampsFromField("ts").watermarksPeriodicBounded(6000))
> {code}
> sql:
> {code:java}
> val groupSql =
>     """
>       |select access,
>       |count(access),
>       |TUMBLE_END(rowtimes,INTERVAL '10' second)
>       |from log_test_table
>       |group by
>       |access,TUMBLE_END(rowtimes,INTERVAL '10' second)
>     """.stripMargin
> {code}
> report errors:
> {code:java}
> Exception in thread "main" org.apache.flink.table.planner.codegen.CodeGenException: Unsupported call: TUMBLE_END(TIME(0), INTERVAL SECOND(3) NOT NULL) 
> If you think this function should be supported, you can create an issue and start a discussion for it.
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator$$anonfun$generateCallExpression$5$$anonfun$apply$2.apply(ExprCodeGenerator.scala:792)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator$$anonfun$generateCallExpression$5$$anonfun$apply$2.apply(ExprCodeGenerator.scala:792)
> 	at scala.Option.getOrElse(Option.scala:121)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator$$anonfun$generateCallExpression$5.apply(ExprCodeGenerator.scala:791)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator$$anonfun$generateCallExpression$5.apply(ExprCodeGenerator.scala:796)
> 	at scala.Option.getOrElse(Option.scala:121)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator.generateCallExpression(ExprCodeGenerator.scala:785)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator.visitCall(ExprCodeGenerator.scala:485)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator.visitCall(ExprCodeGenerator.scala:51)
> 	at org.apache.calcite.rex.RexCall.accept(RexCall.java:191)
> 	at org.apache.flink.table.planner.codegen.ExprCodeGenerator.generateExpression(ExprCodeGenerator.scala:131)
> 	at org.apache.flink.table.planner.codegen.CalcCodeGenerator$$anonfun$5.apply(CalcCodeGenerator.scala:152)
> 	at org.apache.flink.table.planner.codegen.CalcCodeGenerator$$anonfun$5.apply(CalcCodeGenerator.scala:152)
> 	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$class.map(TraversableLike.scala:234)
> 	at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> 	at org.apache.flink.table.planner.codegen.CalcCodeGenerator$.produceProjectionCode$1(CalcCodeGenerator.scala:152)
> 	at org.apache.flink.table.planner.codegen.CalcCodeGenerator$.generateProcessCode(CalcCodeGenerator.scala:179)
> 	at org.apache.flink.table.planner.codegen.CalcCodeGenerator$.generateCalcOperator(CalcCodeGenerator.scala:49)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:77)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:39)
> 	at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalcBase.translateToPlan(StreamExecCalcBase.scala:38)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:84)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:44)
> 	at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlan(StreamExecExchange.scala:44)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupAggregate.translateToPlanInternal(StreamExecGroupAggregate.scala:139)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupAggregate.translateToPlanInternal(StreamExecGroupAggregate.scala:55)
> 	at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecGroupAggregate.translateToPlan(StreamExecGroupAggregate.scala:55)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:54)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalc.translateToPlanInternal(StreamExecCalc.scala:39)
> 	at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecCalcBase.translateToPlan(StreamExecCalcBase.scala:38)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToTransformation(StreamExecSink.scala:184)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:153)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.scala:48)
> 	at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
> 	at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecSink.translateToPlan(StreamExecSink.scala:48)
> 	at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:60)
> 	at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$translateToPlan$1.apply(StreamPlanner.scala:59)
> 	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> 	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> 	at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> 	at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> 	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> 	at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> 	at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> 	at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> 	at org.apache.flink.table.planner.delegation.StreamPlanner.translateToPlan(StreamPlanner.scala:59)
> 	at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153)
> 	at org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.scala:210)
> 	at org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.scala:127)
> 	at com.km.flinkApp.AggsParser$.main(AggsParser.scala:50)
> 	at com.km.flinkApp.AggsParser.main(AggsParser.scala)
> {code}
>  And website link:
> [https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/sql/queries.html|https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/sql/queries.html]
> How should a type be defined on Schem,THX!



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