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Date: Thu, 29 Sep 2016 01:10:21 +0000 (UTC)
From: "Arpit Agarwal (JIRA)" <jira@apache.org>
To: hdfs-issues@hadoop.apache.org
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Subject: [jira] [Commented] (HDFS-9668) Optimize the locking in
 FsDatasetImpl
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archived-at: Thu, 29 Sep 2016 01:10:23 -0000


    [ https://issues.apache.org/jira/browse/HDFS-9668?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15531447#comment-15531447 ] 

Arpit Agarwal commented on HDFS-9668:
-------------------------------------

Hi [~jingcheng.du@intel.com], You can probably split out the read-write lock wrappers and instrumentation into a separate Hadoop common Jira. The DataNode changes can be kept in this Jira. 
# InstrumentedReadLock needs to be fixed to use a thread-local, see similar work done by [~xkrogen] in HDFS-10817. You won't need a ThreadLocal to instrument WriteLock as it is exclusive.
# We should see if we can cut down on the number of new lock classes. I can help you with that part if you want to make it a separate Jira.

> Optimize the locking in FsDatasetImpl
> -------------------------------------
>
>                 Key: HDFS-9668
>                 URL: https://issues.apache.org/jira/browse/HDFS-9668
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: datanode
>            Reporter: Jingcheng Du
>            Assignee: Jingcheng Du
>         Attachments: HDFS-9668-1.patch, HDFS-9668-10.patch, HDFS-9668-11.patch, HDFS-9668-12.patch, HDFS-9668-13.patch, HDFS-9668-14.patch, HDFS-9668-14.patch, HDFS-9668-15.patch, HDFS-9668-2.patch, HDFS-9668-3.patch, HDFS-9668-4.patch, HDFS-9668-5.patch, HDFS-9668-6.patch, HDFS-9668-7.patch, HDFS-9668-8.patch, HDFS-9668-9.patch, execution_time.png
>
>
> During the HBase test on a tiered storage of HDFS (WAL is stored in SSD/RAMDISK, and all other files are stored in HDD), we observe many long-time BLOCKED threads on FsDatasetImpl in DataNode. The following is part of the jstack result:
> {noformat}
> "DataXceiver for client DFSClient_NONMAPREDUCE_-1626037897_1 at /192.168.50.16:48521 [Receiving block BP-1042877462-192.168.50.13-1446173170517:blk_1073779272_40852]" - Thread t@93336
>    java.lang.Thread.State: BLOCKED
> 	at org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl.createRbw(FsDatasetImpl.java:1111)
> 	- waiting to lock <18324c9> (a org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl) owned by "DataXceiver for client DFSClient_NONMAPREDUCE_-1626037897_1 at /192.168.50.16:48520 [Receiving block BP-1042877462-192.168.50.13-1446173170517:blk_1073779271_40851]" t@93335
> 	at org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl.createRbw(FsDatasetImpl.java:113)
> 	at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.<init>(BlockReceiver.java:183)
> 	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:615)
> 	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:137)
> 	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:74)
> 	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:235)
> 	at java.lang.Thread.run(Thread.java:745)
>    Locked ownable synchronizers:
> 	- None
> 	
> "DataXceiver for client DFSClient_NONMAPREDUCE_-1626037897_1 at /192.168.50.16:48520 [Receiving block BP-1042877462-192.168.50.13-1446173170517:blk_1073779271_40851]" - Thread t@93335
>    java.lang.Thread.State: RUNNABLE
> 	at java.io.UnixFileSystem.createFileExclusively(Native Method)
> 	at java.io.File.createNewFile(File.java:1012)
> 	at org.apache.hadoop.hdfs.server.datanode.DatanodeUtil.createTmpFile(DatanodeUtil.java:66)
> 	at org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.BlockPoolSlice.createRbwFile(BlockPoolSlice.java:271)
> 	at org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsVolumeImpl.createRbwFile(FsVolumeImpl.java:286)
> 	at org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl.createRbw(FsDatasetImpl.java:1140)
> 	- locked <18324c9> (a org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl)
> 	at org.apache.hadoop.hdfs.server.datanode.fsdataset.impl.FsDatasetImpl.createRbw(FsDatasetImpl.java:113)
> 	at org.apache.hadoop.hdfs.server.datanode.BlockReceiver.<init>(BlockReceiver.java:183)
> 	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.writeBlock(DataXceiver.java:615)
> 	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.opWriteBlock(Receiver.java:137)
> 	at org.apache.hadoop.hdfs.protocol.datatransfer.Receiver.processOp(Receiver.java:74)
> 	at org.apache.hadoop.hdfs.server.datanode.DataXceiver.run(DataXceiver.java:235)
> 	at java.lang.Thread.run(Thread.java:745)
>    Locked ownable synchronizers:
> 	- None
> {noformat}
> We measured the execution of some operations in FsDatasetImpl during the test. Here following is the result.
> !execution_time.png!
> The operations of finalizeBlock, addBlock and createRbw on HDD in a heavy load take a really long time.
> It means one slow operation of finalizeBlock, addBlock and createRbw in a slow storage can block all the other same operations in the same DataNode, especially in HBase when many wal/flusher/compactor are configured.
> We need a finer grained lock mechanism in a new FsDatasetImpl implementation and users can choose the implementation by configuring "dfs.datanode.fsdataset.factory" in DataNode.
> We can implement the lock by either storage level or block-level.


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