[
https://issues.apache.org/jira/browse/SPARK-26320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-26320.
----------------------------------
Resolution: Incomplete
Leaving this resolved due to no feedback.
> udf with multiple arrays as input
> ---------------------------------
>
> Key: SPARK-26320
> URL: https://issues.apache.org/jira/browse/SPARK-26320
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.1, 2.3.1
> Reporter: Rio Wibowo
> Priority: Major
>
> Spark get GC out of memory error when passing many arrays when we use many
> arrays input
> Description :
> # 3 different Input arrays
> # Every array has size 10
>
> UDF :
> {code}
> val getResult = udf(
> (index: Integer, array1: Seq[Integer], array2: Seq[Integer], array3:
> Seq[Double]) => 0
> doSomeThing(index, array1, array2, array3)
> )
> {code}
> DataFrame Schema :
> {code}
> root
> |-- frequency_1: integer (nullable = true)
> |-- code_1: integer (nullable = true)
> |-- power_1: integer (nullable = false)
> |-- frequency_2: integer (nullable = true)
> |-- code_2: integer (nullable = true)
> |-- power_2: integer (nullable = false)
> |-- frequency_3: integer (nullable = true)
> |-- code_3: integer (nullable = true)
> |-- power_3: integer (nullable = false)
> |-- frequency_4: integer (nullable = true)
> |-- code_4: integer (nullable = true)
> |-- power_4: integer (nullable = false)
> |-- frequency_5: integer (nullable = true)
> |-- code_5: integer (nullable = true)
> |-- power_5: integer (nullable = false)
> |-- frequency_6: integer (nullable = true)
> |-- code_6: integer (nullable = true)
> |-- power_6: integer (nullable = false)
> |-- frequency_7: integer (nullable = true)
> |-- code_7: integer (nullable = true)
> |-- power_7: double (nullable = true)
> |-- frequency_8: integer (nullable = true)
> |-- code_8: integer (nullable = true)
> |-- power_8: double (nullable = true)
> |-- frequency_9: integer (nullable = true)
> |-- code_9: integer (nullable = true)
> |-- power_9: double (nullable = true)
> |-- frequency_10: integer (nullable = true)
> |-- code_10: integer (nullable = true)
> |-- power_10: double (nullable = true)
> {code}
> Call the UDF to enrich dataframe using withColumn function 10 times:
>
> {code:java}
> df.withColumn("out1", getResult(0,
> array(col("frequency_1"), col("frequency_2), ....,col("frequency_10)),
> array(col("code_1"), col("code_2), ....,col("code_10)),
> array(col("power_1"), col("power_2), ....,col("power_10)))
> .withColumn("out2", getResult(0,
> array(col("frequency_1"), col("frequency_2), ....,col("frequency_10)),
> array(col("code_1"), col("code_2), ....,col("code_10)),
> array(col("power_1"), col("power_2), ....,col("power_10)))
>
> .withColumn("out9", getResult(9,....
>
> .withColumn("out10", getResult(10,
> array(col("frequency_1"), col("frequency_2), ....,col("frequency_10)),
> array(col("code_1"), col("code_2), ....,col("code_10)),
> array(col("power_1"), col("power_2), ....,col("power_10)))
> {code}
>
>
> Error Log :
> {code:java}
> 12:56:08.461 [dispatcher-event-loop-3] ERROR
> o.a.s.scheduler.TaskSchedulerImpl - Lost executor driver on localhost:
> Executor heartbeat timed out after 150014 ms
> [info] com.xxx.xx.xx.xx.xx.xx.xx.xx.CSVExporterSpec *** ABORTED *** (9
> minutes, 24 seconds)
> [info] java.lang.OutOfMemoryError: GC overhead limit exceeded
> [info] ...
> [error] Uncaught exception when running
> com.xxx.xx.xx.xx.xx.xx.xx.xx.CSVExporterSpec: java.lang.OutOfMemoryError: GC
> overhead limit exceeded
> java.lang.OutOfMemoryError: GC overhead limit exceeded
> at java.util.AbstractList.iterator(AbstractList.java:288)
> at
> org.apache.cassandra.gms.Gossiper.addLocalApplicationStates(Gossiper.java:1513)
> at
> org.apache.cassandra.gms.Gossiper.addLocalApplicationState(Gossiper.java:1505)
> at
> org.apache.cassandra.service.LoadBroadcaster$1.run(LoadBroadcaster.java:92)
> at
> org.apache.cassandra.concurrent.DebuggableScheduledThreadPoolExecutor$UncomplainingRunnable.run(DebuggableScheduledThreadPoolExecutor.java:118)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at
> org.apache.cassandra.concurrent.NamedThreadFactory.lambda$threadLocalDeallocator$0(NamedThreadFactory.java:81)
> at
> org.apache.cassandra.concurrent.NamedThreadFactory$$Lambda$4/821749187.run(Unknown
> Source)
> at java.lang.Thread.run(Thread.java:745)
> 12:56:13.552 [ScheduledTasks:1] ERROR o.a.c.utils.JVMStabilityInspector - JVM
> state determined to be unstable. Exiting forcefully due to:
> java.lang.OutOfMemoryError: GC overhead limit exceeded
> at java.util.AbstractList.iterator(AbstractList.java:288)
> at
> org.apache.cassandra.gms.Gossiper.addLocalApplicationStates(Gossiper.java:1513)
> at
> org.apache.cassandra.gms.Gossiper.addLocalApplicationState(Gossiper.java:1505)
> at
> org.apache.cassandra.service.LoadBroadcaster$1.run(LoadBroadcaster.java:92)
> at
> org.apache.cassandra.concurrent.DebuggableScheduledThreadPoolExecutor$UncomplainingRunnable.run(DebuggableScheduledThreadPoolExecutor.java:118)
> at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
> at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:308)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:180)
> at
> java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:294)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at
> org.apache.cassandra.concurrent.NamedThreadFactory.lambda$threadLocalDeallocator$0(NamedThreadFactory.java:81)
> at
> org.apache.cassandra.concurrent.NamedThreadFactory$$Lambda$4/821749187.run(Unknown
> Source)
> at java.lang.Thread.run(Thread.java:745){code}
>
>
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