[
https://issues.apache.org/jira/browse/SPARK-37892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Arun Benoy V updated SPARK-37892:
---------------------------------
Priority: Major (was: Minor)
> Spark streaming task failure with ClassCastException [C cannot be cast to [J,
> at org.apache.spark.unsafe.memory.HeapMemoryAllocator.allocate
> --------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-37892
> URL: https://issues.apache.org/jira/browse/SPARK-37892
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 3.2.0
> Reporter: Arun Benoy V
> Priority: Major
>
> We have a java spark streaming application which does scd2 operation on
> deltalake.
> We were using spark 3.0.0 and delta lake 0.7.0 after upgrading to Spark 3.2.0
> and delta 1.1.0, we can see the following exception (under load of 100K
> events)
> _Caused by: java.lang.ClassCastException: [C cannot be cast to [J, at
> org.apache.spark.unsafe.memory.HeapMemoryAllocator.allocate(HeapMemoryAllocator.java:58)
> , at
> org.apache.spark.memory.TaskMemoryManager.allocatePage(TaskMemoryManager.java:314)_
> We are currently in development hence running in local mode, for 100K test
> with
> * spark master - local[4]
> * 4GB driver memory.
> * Shuffle partition 25
> * Kafka topic partition 25
> * micro batch size 5000
> * trigger 120 sec
> Another observation is that , this exception does not occur after the first
> couple of batches and for the subsequent 100K load it works fine if we don't
> restart.
> Additional information regarding the load. The payload is same for all the
> events, we use different keys for 100K events. And the exception is seen only
> for the first couple of batches (may be 2-3 other batches works fine)
> Any guidelines regarding tuning or fix that can help in resolving this
> exception would help.
> Thanks.
> Attaching full stack trace here
> [Executor task launch worker for task 9.0 in stage 59.0 (TID 784)]
> o.a.s.e.Executor ERROR - Exception in task 9.0 in stage 59.0 (TID 784)
> java.lang.ClassCastException: [C cannot be cast to [J, at
> org.apache.spark.unsafe.memory.HeapMemoryAllocator.allocate(HeapMemoryAllocator.java:58)
> , at
> org.apache.spark.memory.TaskMemoryManager.allocatePage(TaskMemoryManager.java:314)
> , at
> org.apache.spark.memory.MemoryConsumer.allocatePage(MemoryConsumer.java:116)
> , at
> org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.acquireNewPageIfNecessary(UnsafeExternalSorter.java:401)
> , at
> org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.allocateMemoryForRecordIfNecessary(UnsafeExternalSorter.java:420)
> , at
> org.apache.spark.util.collection.unsafe.sort.UnsafeExternalSorter.insertRecord(UnsafeExternalSorter.java:455)
> , at
> org.apache.spark.sql.execution.UnsafeExternalRowSorter.insertRow(UnsafeExternalRowSorter.java:138)
> , at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.sort_addToSorter_0$(Unknown
> Source)
> , at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
> Source)
> , at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> , at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
> , at
> org.apache.spark.sql.execution.aggregate.SortAggregateExec.$anonfun$doExecute$1(SortAggregateExec.scala:58)
> , at
> org.apache.spark.sql.execution.aggregate.SortAggregateExec.$anonfun$doExecute$1$adapted(SortAggregateExec.scala:55)
> , at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2(RDD.scala:885)
> , at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndexInternal$2$adapted(RDD.scala:885)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at
> org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:126)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at
> org.apache.spark.sql.execution.SQLExecutionRDD.compute(SQLExecutionRDD.scala:55)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> , at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
> , at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
> , at
> org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
> , at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> , at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
> , at org.apache.spark.scheduler.Task.run(Task.scala:131)
> , at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
> , at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1462)
> , at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
> , at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> , at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> , at java.lang.Thread.run(Thread.java:745)
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
