[jira] [Created] (FLINK-20015) Failure to execute streaming query

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[jira] [Created] (FLINK-20015) Failure to execute streaming query

Shang Yuanchun (Jira)
Satyam Shekhar created FLINK-20015:
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             Summary: Failure to execute streaming query
                 Key: FLINK-20015
                 URL: https://issues.apache.org/jira/browse/FLINK-20015
             Project: Flink
          Issue Type: Bug
          Components: Table SQL / API
    Affects Versions: 1.11.1
            Reporter: Satyam Shekhar


Hello,
 
I have a table T0 with the following schema -

root
      |-- amount: BIGINT
      |-- timestamp: TIMESTAMP(3)
 
The following two queries fail execution on the above table when executed in streaming mode using the Blink planner.
 
WITH A AS (
  SELECT COUNT(*) AS ct, tumble_end(`timestamp`, INTERVAL '1' MINUTE) as tm
    FROM T0 GROUP BY tumble(`timestamp`, INTERVAL '1' MINUTE))
select L.ct, R.ct, L.tm, R.tm from A as L left join A as R on L.tm = R.tm
 
WITH A AS (
  SELECT COUNT(*) AS ct, tumble_rowtime(`timestamp`, INTERVAL '1' MINUTE) as tm
    FROM T0 GROUP BY tumble(`timestamp`, INTERVAL '1' MINUTE))
select L.ct, R.ct, L.tm, R.tm from A as L left join A as R on L.tm = R.tm
 
The two queries are very similar and only differ in their use of tumble_end and tumble_rowtime operator. Both queries use timestamp column as their rowtime attribute. Casting "tm" column to timestamp makes both queries work -
 
WITH A AS (
  SELECT COUNT(*) AS ct, CAST(tumble_end(`timestamp`, INTERVAL '1' MINUTE) as TIMESTAMP(3)) as tm
    FROM T0 GROUP BY tumble(`timestamp`, INTERVAL '1' MINUTE))
select L.ct, R.ct, L.tm, R.tm from A as L left join A as R on L.tm = R.tm
 
This workaround, however, loses the rowtime attribute from the output resultset for the second query.
 
The first query fails with the following exception -
 
java.lang.RuntimeException: class java.sql.Timestamp cannot be cast to class java.lang.Long (java.sql.Timestamp is in module java.sql of loader 'platform'; java.lang.Long is in module java.base of loader 'bootstrap')
 at org.apache.flink.streaming.runtime.io.RecordWriterOutput.pushToRecordWriter(RecordWriterOutput.java:110)
 at org.apache.flink.streaming.runtime.io.RecordWriterOutput.collect(RecordWriterOutput.java:89)
 at org.apache.flink.streaming.runtime.io.RecordWriterOutput.collect(RecordWriterOutput.java:45)
 at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
 at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
 at SinkConversion$166.processElement(Unknown Source)
 at org.apache.flink.streaming.runtime.tasks.OperatorChain$ChainingOutput.pushToOperator(OperatorChain.java:626)
 at org.apache.flink.streaming.runtime.tasks.OperatorChain$ChainingOutput.collect(OperatorChain.java:603)
 at org.apache.flink.streaming.runtime.tasks.OperatorChain$ChainingOutput.collect(OperatorChain.java:563)
 at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
 at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
 at StreamExecCalc$163.processElement(Unknown Source)
 at org.apache.flink.streaming.runtime.tasks.OperatorChain$ChainingOutput.pushToOperator(OperatorChain.java:626)
 at org.apache.flink.streaming.runtime.tasks.OperatorChain$ChainingOutput.collect(OperatorChain.java:603)
 at org.apache.flink.streaming.runtime.tasks.OperatorChain$ChainingOutput.collect(OperatorChain.java:563)
 at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:52)
 at org.apache.flink.streaming.api.operators.CountingOutput.collect(CountingOutput.java:30)
 at org.apache.flink.streaming.api.operators.TimestampedCollector.collect(TimestampedCollector.java:53)
 at org.apache.flink.table.runtime.operators.join.stream.StreamingJoinOperator.outputNullPadding(StreamingJoinOperator.java:314)
 at org.apache.flink.table.runtime.operators.join.stream.StreamingJoinOperator.processElement(StreamingJoinOperator.java:206)
 at org.apache.flink.table.runtime.operators.join.stream.StreamingJoinOperator.processElement1(StreamingJoinOperator.java:115)
 at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessor.processRecord1(StreamTwoInputProcessor.java:132)
 at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessor.lambda$new$0(StreamTwoInputProcessor.java:99)
 at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessor$StreamTaskNetworkOutput.emitRecord(StreamTwoInputProcessor.java:364)
 at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.processElement(StreamTaskNetworkInput.java:178)
 at org.apache.flink.streaming.runtime.io.StreamTaskNetworkInput.emitNext(StreamTaskNetworkInput.java:153)
 at org.apache.flink.streaming.runtime.io.StreamTwoInputProcessor.processInput(StreamTwoInputProcessor.java:179)
 at org.apache.flink.streaming.runtime.tasks.StreamTask.processInput(StreamTask.java:345)
 at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxStep(MailboxProcessor.java:191)
 at org.apache.flink.streaming.runtime.tasks.mailbox.MailboxProcessor.runMailboxLoop(MailboxProcessor.java:181)
 at org.apache.flink.streaming.runtime.tasks.StreamTask.runMailboxLoop(StreamTask.java:558)
 at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:530)
 at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:721)
 at org.apache.flink.runtime.taskmanager.Task.run(Task.java:546)
 at java.base/java.lang.Thread.run(Thread.java:834)
Caused by: java.lang.ClassCastException: class java.sql.Timestamp cannot be cast to class java.lang.Long (java.sql.Timestamp is in module java.sql of loader 'platform'; java.lang.Long is in module java.base of loader 'bootstrap')
 at org.apache.flink.api.common.typeutils.base.LongSerializer.serialize(LongSerializer.java:32)
 at org.apache.flink.api.java.typeutils.runtime.RowSerializer.serialize(RowSerializer.java:192)
 at org.apache.flink.api.java.typeutils.runtime.RowSerializer.serialize(RowSerializer.java:58)
 at org.apache.flink.api.java.typeutils.runtime.TupleSerializer.serialize(TupleSerializer.java:140)
 at org.apache.flink.api.java.typeutils.runtime.TupleSerializer.serialize(TupleSerializer.java:37)
 at org.apache.flink.streaming.runtime.streamrecord.StreamElementSerializer.serialize(StreamElementSerializer.java:175)
 at org.apache.flink.streaming.runtime.streamrecord.StreamElementSerializer.serialize(StreamElementSerializer.java:46)
 at org.apache.flink.runtime.plugable.SerializationDelegate.write(SerializationDelegate.java:54)
 at org.apache.flink.runtime.io.network.api.serialization.SpanningRecordSerializer.serializeRecord(SpanningRecordSerializer.java:71)
 at org.apache.flink.runtime.io.network.api.writer.RecordWriter.emit(RecordWriter.java:117)
 at org.apache.flink.runtime.io.network.api.writer.ChannelSelectorRecordWriter.emit(ChannelSelectorRecordWriter.java:60)
 at org.apache.flink.streaming.runtime.io.RecordWriterOutput.pushToRecordWriter(RecordWriterOutput.java:107)
 
The second one fails with -
 
java.lang.RuntimeException: Error while applying rule StreamExecIntervalJoinRule(in:LOGICAL,out:STREAM_PHYSICAL), args [rel#606:FlinkLogicalJoin.LOGICAL.any.None: 0.[NONE].[NONE](left=RelSubset#602,right=RelSubset#602,condition==($1, $3),joinType=left)]
 at org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:244)
 at org.apache.calcite.plan.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:636)
 at org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:327)
 at org.apache.flink.table.planner.plan.optimize.program.FlinkVolcanoProgram.optimize(FlinkVolcanoProgram.scala:64)
 at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:62)
 at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:58)
 at scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
 at scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
 at scala.collection.Iterator$class.foreach(Iterator.scala:891)
 at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
 at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
 at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
 at scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
 at scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)
 at org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:57)
 at org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.optimizeTree(StreamCommonSubGraphBasedOptimizer.scala:164)
 at org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.doOptimize(StreamCommonSubGraphBasedOptimizer.scala:80)
 at org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77)
 at org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:279)
 at org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:164)
 at org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:1264)
 at org.apache.flink.table.api.internal.TableEnvironmentImpl.translateAndClearBuffer(TableEnvironmentImpl.java:1256)
 at org.apache.flink.table.api.internal.TableEnvironmentImpl.execute(TableEnvironmentImpl.java:1213)
 at io.netspring.blaze.eval.FlinkQueryEngine$StreamQuery.start(FlinkQueryEngine.java:353)
....
Caused by: java.util.NoSuchElementException: None.get
 at scala.None$.get(Option.scala:347)
 at scala.None$.get(Option.scala:345)
 at org.apache.flink.table.planner.plan.nodes.physical.stream.StreamExecIntervalJoin.<init>(StreamExecIntervalJoin.scala:72)
 at org.apache.flink.table.planner.plan.rules.physical.stream.StreamExecIntervalJoinRule.convert(StreamExecIntervalJoinRule.scala:122)
 at org.apache.calcite.rel.convert.ConverterRule.onMatch(ConverterRule.java:144)
 at org.apache.calcite.plan.volcano.VolcanoRuleCall.onMatch(VolcanoRuleCall.java:217)



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