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Posted to issues@spark.apache.org by "Ruslan Dautkhanov (JIRA)" <ji...@apache.org> on 2018/10/29 04:04:00 UTC

[jira] [Created] (SPARK-25863) java.lang.UnsupportedOperationException: empty.max at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.updateAndGetCompilationStats(CodeGenerator.scala:1475)

Ruslan Dautkhanov created SPARK-25863:
-----------------------------------------

             Summary: java.lang.UnsupportedOperationException: empty.max at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.updateAndGetCompilationStats(CodeGenerator.scala:1475)
                 Key: SPARK-25863
                 URL: https://issues.apache.org/jira/browse/SPARK-25863
             Project: Spark
          Issue Type: Bug
          Components: Optimizer, Spark Core
    Affects Versions: 2.3.2
            Reporter: Ruslan Dautkhanov


Failing task : 
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An error occurred while calling o2875.collectToPython.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 58 in stage 21413.0 failed 4 times, most recent failure: Lost task 58.3 in stage 21413.0 (TID 4057314, pc1udatahad117, executor 431): java.lang.UnsupportedOperationException: empty.max
at scala.collection.TraversableOnce$class.max(TraversableOnce.scala:229)
at scala.collection.AbstractTraversable.max(Traversable.scala:104)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.updateAndGetCompilationStats(CodeGenerator.scala:1475)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:1418)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:1493)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:1490)
at org.spark_project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
at org.spark_project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
at org.spark_project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
at org.spark_project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
at org.spark_project.guava.cache.LocalCache.get(LocalCache.java:4000)
at org.spark_project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
at org.spark_project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.compile(CodeGenerator.scala:1365)
at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$.create(GeneratePredicate.scala:81)
at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$.create(GeneratePredicate.scala:40)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:1321)
at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:1318)
at org.apache.spark.sql.execution.SparkPlan.newPredicate(SparkPlan.scala:401)
at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$filteredCachedBatches$1.apply(InMemoryTableScanExec.scala:263)
at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$filteredCachedBatches$1.apply(InMemoryTableScanExec.scala:262)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndexInternal$1$$anonfun$apply$24.apply(RDD.scala:818)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndexInternal$1$$anonfun$apply$24.apply(RDD.scala:818)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)

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Driver stack trace:
{noformat}
Driver stacktrace:
        at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1609)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1597)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1596)
        at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
        at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1596)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
        at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:831)
        at scala.Option.foreach(Option.scala:257)
        at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:831)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1830)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1779)
        at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1768)
        at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
        at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:642)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2034)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2055)
        at org.apache.spark.SparkContext.runJob(SparkContext.scala:2074)
        at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:363)
        at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
        at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3195)
        at org.apache.spark.sql.Dataset$$anonfun$collectToPython$1.apply(Dataset.scala:3192)
        at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3254)
        at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:77)
        at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3253)
        at org.apache.spark.sql.Dataset.collectToPython(Dataset.scala:3192)
        at sun.reflect.GeneratedMethodAccessor82.invoke(Unknown Source)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
        at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
        at py4j.Gateway.invoke(Gateway.java:282)
        at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
        at py4j.commands.CallCommand.execute(CallCommand.java:79)
        at py4j.GatewayConnection.run(GatewayConnection.java:238)
        at java.lang.Thread.run(Thread.java:748)

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Caused by:
{noformat}
Caused by: java.lang.UnsupportedOperationException: empty.max
        at scala.collection.TraversableOnce$class.max(TraversableOnce.scala:229)
        at scala.collection.AbstractTraversable.max(Traversable.scala:104)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.updateAndGetCompilationStats(CodeGenerator.scala:1475)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.org$apache$spark$sql$catalyst$expressions$codegen$CodeGenerator$$doCompile(CodeGenerator.scala:1418)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:1493)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$$anon$1.load(CodeGenerator.scala:1490)
        at org.spark_project.guava.cache.LocalCache$LoadingValueReference.loadFuture(LocalCache.java:3599)
        at org.spark_project.guava.cache.LocalCache$Segment.loadSync(LocalCache.java:2379)
        at org.spark_project.guava.cache.LocalCache$Segment.lockedGetOrLoad(LocalCache.java:2342)
        at org.spark_project.guava.cache.LocalCache$Segment.get(LocalCache.java:2257)
        at org.spark_project.guava.cache.LocalCache.get(LocalCache.java:4000)
        at org.spark_project.guava.cache.LocalCache.getOrLoad(LocalCache.java:4004)
        at org.spark_project.guava.cache.LocalCache$LocalLoadingCache.get(LocalCache.java:4874)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.compile(CodeGenerator.scala:1365)
        at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$.create(GeneratePredicate.scala:81)
        at org.apache.spark.sql.catalyst.expressions.codegen.GeneratePredicate$.create(GeneratePredicate.scala:40)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:1321)
        at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator.generate(CodeGenerator.scala:1318)
        at org.apache.spark.sql.execution.SparkPlan.newPredicate(SparkPlan.scala:401)
        at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$filteredCachedBatches$1.apply(InMemoryTableScanExec.scala:263)
        at org.apache.spark.sql.execution.columnar.InMemoryTableScanExec$$anonfun$filteredCachedBatches$1.apply(InMemoryTableScanExec.scala:262)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndexInternal$1$$anonfun$apply$24.apply(RDD.scala:818)
        at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsWithIndexInternal$1$$anonfun$apply$24.apply(RDD.scala:818)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:109)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        ... 1 more

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