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From "Marco Gaido (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-25863) java.lang.UnsupportedOperationException: empty.max at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.updateAndGetCompilationStats(CodeGenerator.scala:1475)
Date Mon, 29 Oct 2018 09:03:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-25863?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16666876#comment-16666876
] 

Marco Gaido commented on SPARK-25863:
-------------------------------------

[~Tagar] thanks for reporting this. May you please provide a reproducer? If you can post a
simplified version of your code generating the issue, it would be helpful, otherwise it is
hard to investigate the issue. Thanks.

> java.lang.UnsupportedOperationException: empty.max at org.apache.spark.sql.catalyst.expressions.codegen.CodeGenerator$.updateAndGetCompilationStats(CodeGenerator.scala:1475)
> -----------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-25863
>                 URL: https://issues.apache.org/jira/browse/SPARK-25863
>             Project: Spark
>          Issue Type: Bug
>          Components: Optimizer, Spark Core
>    Affects Versions: 2.3.1, 2.3.2
>            Reporter: Ruslan Dautkhanov
>            Priority: Major
>              Labels: cache, catalyst, code-generation
>
> Failing task : 
> {noformat}
> An error occurred while calling o2875.collectToPython.
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 58 in stage
21413.0 failed 4 times, most recent failure: Lost task 58.3 in stage 21413.0 (TID 4057314,
pc1udatahad117, executor 431): java.lang.UnsupportedOperationException: empty.max
> at scala.collection.TraversableOnce$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$$anonfun$apply$24.apply(RDD.scala:818)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> {noformat}
>  
> Driver stack trace:
> {noformat}
> Driver stacktrace:
>         at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$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)
> {noformat}
>  
> 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
> {noformat}



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