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Posted to issues@flink.apache.org by "mzz (Jira)" <ji...@apache.org> on 2020/07/07 06:33:00 UTC
[jira] [Created] (FLINK-18511) Unsupported call:
TUMBLE_END(TIME(0), INTERVAL SECOND(3) NOT NULL)
mzz created FLINK-18511:
---------------------------
Summary: 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
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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