[jira] [Commented] (SPARK-23029) Doc spark.shuffle.file.buffer units are kb when no units specified
[
https://issues.apache.org/jira/browse/SPARK-23029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16326260#comment-16326260
]
Apache Spark commented on SPARK-23029:
--
User 'ferdonline' has created a pull request for this issue:
https://github.com/apache/spark/pull/20269
> Doc spark.shuffle.file.buffer units are kb when no units specified
> --
>
> Key: SPARK-23029
> URL: https://issues.apache.org/jira/browse/SPARK-23029
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
>Affects Versions: 2.2.1
>Reporter: Fernando Pereira
>Priority: Minor
>
> When setting the spark.shuffle.file.buffer setting, even to its default
> value, shuffles fail.
> This appears to affect small to medium size partitions. Strangely the error
> message is OutOfMemoryError, but it works with large partitions (at least
> >32MB).
> {code}
> pyspark --conf "spark.shuffle.file.buffer=$((32*1024))"
> /gpfs/bbp.cscs.ch/scratch/gss/spykfunc/_sparkenv/lib/python2.7/site-packages/pyspark/bin/spark-submit
> pyspark-shell-main --name PySparkShell --conf spark.shuffle.file.buffer=32768
> version 2.2.1
> >>> spark.range(1e7, numPartitions=10).sort("id").write.parquet("a",
> >>> mode="overwrite")
> [Stage 1:>(0 + 10) /
> 10]18/01/10 19:34:21 ERROR Executor: Exception in task 1.0 in stage 1.0 (TID
> 11)
> java.lang.OutOfMemoryError: Java heap space
> at java.io.BufferedOutputStream.(BufferedOutputStream.java:75)
> at
> org.apache.spark.storage.DiskBlockObjectWriter$ManualCloseBufferedOutputStream$1.(DiskBlockObjectWriter.scala:107)
> at
> org.apache.spark.storage.DiskBlockObjectWriter.initialize(DiskBlockObjectWriter.scala:108)
> at
> org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:116)
> at
> org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:237)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:151)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:108)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> {code}
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[jira] [Commented] (SPARK-23029) Doc spark.shuffle.file.buffer units are kb when no units specified
[
https://issues.apache.org/jira/browse/SPARK-23029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16324402#comment-16324402
]
Fernando Pereira commented on SPARK-23029:
--
[~jerryshao] Thanks a lot for the info, now I understand better the mem usage!
I still don't understand how come it worked with large partitions and a buffer
of 1024*1024 (*1024!)
Yep I can do the update in the configurations page, hope to save some people
from the same hassle.
Cheers
> Doc spark.shuffle.file.buffer units are kb when no units specified
> --
>
> Key: SPARK-23029
> URL: https://issues.apache.org/jira/browse/SPARK-23029
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
>Affects Versions: 2.2.1
>Reporter: Fernando Pereira
>Priority: Minor
>
> When setting the spark.shuffle.file.buffer setting, even to its default
> value, shuffles fail.
> This appears to affect small to medium size partitions. Strangely the error
> message is OutOfMemoryError, but it works with large partitions (at least
> >32MB).
> {code}
> pyspark --conf "spark.shuffle.file.buffer=$((32*1024))"
> /gpfs/bbp.cscs.ch/scratch/gss/spykfunc/_sparkenv/lib/python2.7/site-packages/pyspark/bin/spark-submit
> pyspark-shell-main --name PySparkShell --conf spark.shuffle.file.buffer=32768
> version 2.2.1
> >>> spark.range(1e7, numPartitions=10).sort("id").write.parquet("a",
> >>> mode="overwrite")
> [Stage 1:>(0 + 10) /
> 10]18/01/10 19:34:21 ERROR Executor: Exception in task 1.0 in stage 1.0 (TID
> 11)
> java.lang.OutOfMemoryError: Java heap space
> at java.io.BufferedOutputStream.(BufferedOutputStream.java:75)
> at
> org.apache.spark.storage.DiskBlockObjectWriter$ManualCloseBufferedOutputStream$1.(DiskBlockObjectWriter.scala:107)
> at
> org.apache.spark.storage.DiskBlockObjectWriter.initialize(DiskBlockObjectWriter.scala:108)
> at
> org.apache.spark.storage.DiskBlockObjectWriter.open(DiskBlockObjectWriter.scala:116)
> at
> org.apache.spark.storage.DiskBlockObjectWriter.write(DiskBlockObjectWriter.scala:237)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:151)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:108)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
> 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)
> {code}
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