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https://issues.apache.org/jira/browse/HADOOP-11446?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ted Yu updated HADOOP-11446:
----------------------------
Release Note:
The following parameters are introduced in this JIRA:
fs.s3a.threads.max the maximum number of threads to allow in the pool used
by TransferManager
fs.s3a.threads.core the number of threads to keep in the pool used by
TransferManager
fs.s3a.threads.keepalivetime when the number of threads is greater than the
core, this is the maximum time that excess idle threads will wait for new tasks
before terminating
fs.s3a.max.total.tasks the maximum number of tasks that the
LinkedBlockingQueue can hold
> S3AOutputStream should use shared thread pool to avoid OutOfMemoryError
> -----------------------------------------------------------------------
>
> Key: HADOOP-11446
> URL: https://issues.apache.org/jira/browse/HADOOP-11446
> Project: Hadoop Common
> Issue Type: Bug
> Components: fs/s3
> Affects Versions: 2.6.0
> Reporter: Ted Yu
> Assignee: Ted Yu
> Attachments: hadoop-11446-001.patch, hadoop-11446-002.patch,
> hadoop-11446-003.patch
>
>
> Here is part of the output including the OOME when hbase snapshot is exported
> to s3a (nofile ulimit was increased to 102400):
> {code}
> 2014-12-19 13:15:03,895 INFO [main] s3a.S3AFileSystem: OutputStream for key
> 'FastQueryPOC/2014-12-11/EVENT1-IDX-snapshot/.hbase-snapshot/.tmp/EVENT1_IDX_snapshot_2012_12_11/
> 650a5678810fbdaa91809668d11ccf09/.regioninfo' closed. Now beginning upload
> 2014-12-19 13:15:03,895 INFO [main] s3a.S3AFileSystem: Minimum upload part
> size: 16777216 threshold2147483647
> Exception in thread "main" java.lang.OutOfMemoryError: unable to create new
> native thread
> at java.lang.Thread.start0(Native Method)
> at java.lang.Thread.start(Thread.java:713)
> at
> java.util.concurrent.ThreadPoolExecutor.addWorker(ThreadPoolExecutor.java:949)
> at
> java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1360)
> at
> java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:132)
> at
> com.amazonaws.services.s3.transfer.internal.UploadMonitor.<init>(UploadMonitor.java:129)
> at
> com.amazonaws.services.s3.transfer.TransferManager.upload(TransferManager.java:449)
> at
> com.amazonaws.services.s3.transfer.TransferManager.upload(TransferManager.java:382)
> at
> org.apache.hadoop.fs.s3a.S3AOutputStream.close(S3AOutputStream.java:127)
> at
> org.apache.hadoop.fs.FSDataOutputStream$PositionCache.close(FSDataOutputStream.java:72)
> at
> org.apache.hadoop.fs.FSDataOutputStream.close(FSDataOutputStream.java:106)
> at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:54)
> at org.apache.hadoop.io.IOUtils.copyBytes(IOUtils.java:112)
> at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:366)
> at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:356)
> at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:356)
> at org.apache.hadoop.fs.FileUtil.copy(FileUtil.java:338)
> at
> org.apache.hadoop.hbase.snapshot.ExportSnapshot.run(ExportSnapshot.java:791)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
> at
> org.apache.hadoop.hbase.snapshot.ExportSnapshot.innerMain(ExportSnapshot.java:882)
> at
> org.apache.hadoop.hbase.snapshot.ExportSnapshot.main(ExportSnapshot.java:886)
> {code}
> In S3AOutputStream#close():
> {code}
> TransferManager transfers = new TransferManager(client);
> {code}
> This results in each TransferManager creating its own thread pool, leading to
> the OOME.
> One solution is to pass shared thread pool to TransferManager.
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