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https://issues.apache.org/jira/browse/HADOOP-3248?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12594410#action_12594410
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Tsz Wo (Nicholas), SZE commented on HADOOP-3248:
------------------------------------------------

Dhruba, you are right.  PermissionStatus is under fs package.  We definitely 
should not use INode there.  In OO point of view, the codes in trunk probably 
is the best.  For performance, we should do converting (short-> FsPermission -> 
short).  Your patch balances both.  I am fine with that.  We could do this 
further improvement later.

> Improve Namenode startup performance
> ------------------------------------
>
>                 Key: HADOOP-3248
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3248
>             Project: Hadoop Core
>          Issue Type: Bug
>          Components: dfs
>            Reporter: girish vaitheeswaran
>            Assignee: dhruba borthakur
>         Attachments: fastRestarts.patch, fastRestarts.patch, 
> fastRestarts2.patch, fastRestarts3.patch, fastRestarts3.patch, FSImage.patch
>
>
> One of the things that would need to be addressed as part of Namenode 
> scalability is the HDFS recovery performance especially in scenarios where 
> the number of files is large. There are instances where the number of files 
> are in the vicinity of 20 million and in such cases the time taken for 
> namenode startup is prohibitive. Here are some benchmark numbers on the time 
> taken for namenode startup. These times do not include the time to process 
> block reports.
> Default scenario for 20 million files with the max  java heap size set to 
> 14GB : 40 minutes
> Tuning various java options such as young size, parallel garbage collection, 
> initial java heap size : 14 minutes
> As can be seen, 14 minutes is still a long time for the namenode to recover 
> and code changes are required to bring this time down further. To this end 
> some prototype optimizations were done to reduce this time. Based on some 
> timing analysis saveImage and loadFSImage where the primary methods that were 
> consuming most of the time. Most of the time was being spent on doing object 
> allocations. The goal of the optimizations is to reduce the number of memory 
> allocations as much as possible.
> Optimization 1: saveImage() 
> ======================
> Avoid allocation of the UTF8 object.
> Old code
> =======
> new UTF8(fullName).write(out);
> New Code
> ========
> out.writeUTF(fullName)
> Optimization 2: saveImage()
> ======================
> Avoid object allocation of the PermissionStatus Object and the FsPermission 
> object. This is to be done for Directories and for files.
> Old code
> =======
> fileINode.getPermissionStatus().write(out)
> New Code
> =========
> out.writeBytes(fileINode.getUserName())
> out.writeBytes(fileINode.getGroupName())
> out.writeShort(fileINode.getFsPermission().toShort())
> Optimization 3
> ============
> loadImage() could use the same mechanism where we would avoid allocating the 
> PermissionStatus object and the FsPermission object.
> Optimization 4
> ============
> A hack was tried out to avoid the cost of object allocation from saveImage() 
> where the fullName was being constructed using string concatenation. This 
> optimization also helped improve performance
> Overall these optimizations helped bring down the overall startup time down 
> to slightly over 7 minutes. Most of all the remaining time is now spent in 
> loadFSImage() since we allocate the INode and INodeDirectory objects. Any 
> further optimizations will need to focus on loadFSImage()

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