[jira] [Created] (FLINK-17321) Support for casting collection types.

["Dawid Wysakowicz (Jira)" <ji...@apache.org>]

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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