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Blink window and cube

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liujiangang
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Blink window and cube

liujiangang
      Hi, I find that blink planner supports CUBE. CUBE can be used together with a field but not window. For example, the following SQL is not supported:
SELECT A, B, sum(C)
    FROM person
GROUP BY cube(A, B), TUMBLE(curTimestamp, interval '1' minute)
      The following error is reported. Is there a way to combine cube and window? Thank you very much.

Exception in thread "main" org.apache.flink.table.planner.codegen.CodeGenException: Unsupported call: TUMBLE(TIMESTAMP(3) *ROWTIME*, 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.StreamExecExpand.translateToPlanInternal(StreamExecExpand.scala:82)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExpand.translateToPlanInternal(StreamExecExpand.scala:42)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExpand.translateToPlan(StreamExecExpand.scala:42)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:84)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:44)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$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.java.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.java:351)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.java:296)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.java:287)
Jark Wu-3
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Re: Blink window and cube

Jark Wu-3
Thanks for reporting this. I think this is a missing feature. We need to do something in the optimizer to make this possible. 
Could you please help to create a JIRA issue for this?

Best,
Jark

On Tue, 28 Apr 2020 at 14:55, 刘建刚 <[hidden email]> wrote:
      Hi, I find that blink planner supports CUBE. CUBE can be used together with a field but not window. For example, the following SQL is not supported:
SELECT A, B, sum(C)
    FROM person
GROUP BY cube(A, B), TUMBLE(curTimestamp, interval '1' minute)
      The following error is reported. Is there a way to combine cube and window? Thank you very much.

Exception in thread "main" org.apache.flink.table.planner.codegen.CodeGenException: Unsupported call: TUMBLE(TIMESTAMP(3) *ROWTIME*, 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.StreamExecExpand.translateToPlanInternal(StreamExecExpand.scala:82)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExpand.translateToPlanInternal(StreamExecExpand.scala:42)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExpand.translateToPlan(StreamExecExpand.scala:42)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:84)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:44)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$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.java.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.java:351)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.java:296)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.java:287)
liujiangang
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Re: Blink window and cube

liujiangang
      Thank you. I create an issue: https://issues.apache.org/jira/browse/FLINK-17446

2020年4月28日 下午7:57，Jark Wu-3 [via Apache Flink User Mailing List archive.] <[hidden email]> 写道：

Thanks for reporting this. I think this is a missing feature. We need to do something in the optimizer to make this possible. 
Could you please help to create a JIRA issue for this?

Best,
Jark

On Tue, 28 Apr 2020 at 14:55, 刘建刚 <<a href="x-msg://14/user/SendEmail.jtp?type=node&amp;node=34768&amp;i=0" target="_top" rel="nofollow" link="external" class="">[hidden email]> wrote:
      Hi, I find that blink planner supports CUBE. CUBE can be used together with a field but not window. For example, the following SQL is not supported:
SELECT A, B, sum(C)
    FROM person
GROUP BY cube(A, B), TUMBLE(curTimestamp, interval '1' minute)
      The following error is reported. Is there a way to combine cube and window? Thank you very much.

Exception in thread "main" org.apache.flink.table.planner.codegen.CodeGenException: Unsupported call: TUMBLE(TIMESTAMP(3) *ROWTIME*, 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.StreamExecExpand.translateToPlanInternal(StreamExecExpand.scala:82)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExpand.translateToPlanInternal(StreamExecExpand.scala:42)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExpand.translateToPlan(StreamExecExpand.scala:42)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:84)
at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecExchange.translateToPlanInternal(StreamExecExchange.scala:44)
at org.apache.flink.table.planner.plan.nodes.exec.ExecNode$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.java.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.java:351)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.java:296)
at org.apache.flink.table.api.java.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.java:287)



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