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https://issues.apache.org/jira/browse/FLINK-6115?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15932558#comment-15932558
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Luke Hutchison commented on FLINK-6115:
---------------------------------------
Hi Fabian, is there a fundamental reason why the Tuple serializers do not
support null? If it is because of type inference, the compiler will give a
warning or error if the type cannot be inferred from a null value.
The Tuple class has a {{getFieldNotNull(int pos)}} method, with the description
"Gets the field at the specified position, throws NullFieldException if the
field is null" -- so it sounds like Tuples were actually designed to support
storing nulls, just not serializing them? (But serializing them can happen
implicitly as Flink passes things around...)
> Need more helpful error message when trying to serialize a tuple with a null
> field
> ----------------------------------------------------------------------------------
>
> Key: FLINK-6115
> URL: https://issues.apache.org/jira/browse/FLINK-6115
> Project: Flink
> Issue Type: Bug
> Components: Core
> Affects Versions: 1.2.0
> Reporter: Luke Hutchison
>
> When Flink tries to serialize a tuple with a null field, you get the
> following, which has no information about where in the program the problem
> occurred (all the stack trace lines are in Flink, not in user code).
> {noformat}
> Exception in thread "main"
> org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply$mcV$sp(JobManager.scala:900)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:843)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:843)
> at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
> at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
> at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
> at
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> Caused by: java.lang.IllegalArgumentException: The record must not be null.
> at
> org.apache.flink.api.common.typeutils.base.array.StringArraySerializer.serialize(StringArraySerializer.java:73)
> at
> org.apache.flink.api.common.typeutils.base.array.StringArraySerializer.serialize(StringArraySerializer.java:33)
> at
> org.apache.flink.api.java.typeutils.runtime.TupleSerializer.serialize(TupleSerializer.java:124)
> at
> org.apache.flink.api.java.typeutils.runtime.TupleSerializer.serialize(TupleSerializer.java:30)
> at
> org.apache.flink.runtime.plugable.SerializationDelegate.write(SerializationDelegate.java:56)
> at
> org.apache.flink.runtime.io.network.api.serialization.SpanningRecordSerializer.addRecord(SpanningRecordSerializer.java:77)
> at
> org.apache.flink.runtime.io.network.api.writer.RecordWriter.sendToTarget(RecordWriter.java:113)
> at
> org.apache.flink.runtime.io.network.api.writer.RecordWriter.emit(RecordWriter.java:88)
> at
> org.apache.flink.runtime.operators.shipping.OutputCollector.collect(OutputCollector.java:65)
> at
> org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
> at
> org.apache.flink.runtime.operators.chaining.ChainedMapDriver.collect(ChainedMapDriver.java:79)
> at
> org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
> at
> org.apache.flink.api.java.operators.translation.PlanFilterOperator$FlatMapFilter.flatMap(PlanFilterOperator.java:51)
> at
> org.apache.flink.runtime.operators.FlatMapDriver.run(FlatMapDriver.java:108)
> at org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:490)
> at
> org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:355)
> at org.apache.flink.runtime.taskmanager.Task.run(Task.java:655)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> The only thing I can tell from this is that it happened somewhere in a
> flatMap (but I have dozens of them in my code). Surely there's a way to pull
> out the source file name and line number from the program DAG node when
> errors like this occur?
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