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)
