Dawid Wysakowicz created FLINK-17321:
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Summary: Support for casting collection types.
Key: FLINK-17321
URL: https://issues.apache.org/jira/browse/FLINK-17321
Project: Flink
Issue Type: Sub-task
Components: Table SQL / Planner
Reporter: Dawid Wysakowicz
Casts of collection types are not supported yet.
E.g. query: {{"SELECT cast (a as ARRAY<double>) FROM (VALUES (array[3, 2, 1]))
AS T(a)"}}
fails with:
{code}
org.apache.flink.table.planner.codegen.CodeGenException: Unsupported cast from
'ARRAY<INT NOT NULL> NOT NULL' to 'ARRAY<DOUBLE> NOT NULL'.
at
org.apache.flink.table.planner.codegen.calls.ScalarOperatorGens$.generateCast(ScalarOperatorGens.scala:1284)
at
org.apache.flink.table.planner.codegen.ExprCodeGenerator.generateCallExpression(ExprCodeGenerator.scala:691)
at
org.apache.flink.table.planner.codegen.ExprCodeGenerator.visitCall(ExprCodeGenerator.scala:486)
at
org.apache.flink.table.planner.codegen.ExprCodeGenerator.visitCall(ExprCodeGenerator.scala:52)
at org.apache.calcite.rex.RexCall.accept(RexCall.java:288)
at
org.apache.flink.table.planner.codegen.ExprCodeGenerator.generateExpression(ExprCodeGenerator.scala:132)
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$.generateCalcOperator(CalcCodeGenerator.scala:49)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecCalc.translateToPlanInternal(BatchExecCalc.scala:62)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecCalc.translateToPlanInternal(BatchExecCalc.scala:38)
at
org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecCalcBase.translateToPlan(BatchExecCalcBase.scala:42)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecSink.translateToTransformation(BatchExecSink.scala:131)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecSink.translateToPlanInternal(BatchExecSink.scala:97)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecSink.translateToPlanInternal(BatchExecSink.scala:49)
at
org.apache.flink.table.planner.plan.nodes.exec.ExecNode$class.translateToPlan(ExecNode.scala:58)
at
org.apache.flink.table.planner.plan.nodes.physical.batch.BatchExecSink.translateToPlan(BatchExecSink.scala:49)
at
org.apache.flink.table.planner.delegation.BatchPlanner$$anonfun$translateToPlan$1.apply(BatchPlanner.scala:72)
at
org.apache.flink.table.planner.delegation.BatchPlanner$$anonfun$translateToPlan$1.apply(BatchPlanner.scala:71)
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.BatchPlanner.translateToPlan(BatchPlanner.scala:71)
at
org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:153)
...
{code}
Similar behaviour can be observed for MULTISET, MAP, ROW
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