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Date: Fri, 9 Oct 2015 14:35:28 +0000 (UTC)
From: "Yi Liu (JIRA)" <jira@apache.org>
To: hdfs-issues@hadoop.apache.org
Message-ID: <JIRA.12863311.1441956186000.69099.1444401328357@Atlassian.JIRA>
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Subject: [jira] [Updated] (HDFS-9053) Support large directories efficiently
 using B-Tree
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     [ https://issues.apache.org/jira/browse/HDFS-9053?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yi Liu updated HDFS-9053:
-------------------------
    Attachment: HDFS-9053.006.patch

> Support large directories efficiently using B-Tree
> --------------------------------------------------
>
>                 Key: HDFS-9053
>                 URL: https://issues.apache.org/jira/browse/HDFS-9053
>             Project: Hadoop HDFS
>          Issue Type: Improvement
>          Components: namenode
>            Reporter: Yi Liu
>            Assignee: Yi Liu
>            Priority: Critical
>         Attachments: HDFS-9053 (BTree with simple benchmark).patch, HDFS-9053 (BTree).patch, HDFS-9053.001.patch, HDFS-9053.002.patch, HDFS-9053.003.patch, HDFS-9053.004.patch, HDFS-9053.005.patch, HDFS-9053.006.patch
>
>
> This is a long standing issue, we were trying to improve this in the past.  Currently we use an ArrayList for the children under a directory, and the children are ordered in the list, for insert/delete, the time complexity is O\(n), (the search is O(log n), but insertion/deleting causes re-allocations and copies of arrays), for large directory, the operations are expensive.  If the children grow to 1M size, the ArrayList will resize to > 1M capacity, so need > 1M * 8bytes = 8M (the reference size is 8 for 64-bits system/JVM) continuous heap memory, it easily causes full GC in HDFS cluster where namenode heap memory is already highly used.  I recap the 3 main issues:
> # Insertion/deletion operations in large directories are expensive because re-allocations and copies of big arrays.
> # Dynamically allocate several MB continuous heap memory which will be long-lived can easily cause full GC problem.
> # Even most children are removed later, but the directory INode still occupies same size heap memory, since the ArrayList will never shrink.
> This JIRA is similar to HDFS-7174 created by [~kihwal], but use B-Tree to solve the problem suggested by [~shv]. 
> So the target of this JIRA is to implement a low memory footprint B-Tree and use it to replace ArrayList. 
> If the elements size is not large (less than the maximum degree of B-Tree node), the B-Tree only has one root node which contains an array for the elements. And if the size grows large enough, it will split automatically, and if elements are removed, then B-Tree nodes can merge automatically (see more: https://en.wikipedia.org/wiki/B-tree).  It will solve the above 3 issues.


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