[
https://issues.apache.org/jira/browse/HDFS-9053?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14936183#comment-14936183
]
Yi Liu commented on HDFS-9053:
------------------------------
Thanks [~szetszwo] for the comments.
{quote}
here are quite a few errors in description and the analysis. Let's hold on the
patch for the moment and fix all these errors first.
{quote}
Sure, let's fix the errors in the description and the analysis first, thanks
for pointing out this.
{quote}
> So totally 12+4+4+4+4+4+4 = 32 bytes on 32-bits system/JVM, and 12+4+8+4+8+4
> = 40 bytes on 64-bits system/JVM. (I have not counted object alignment)
It seems that there is at least one more reference not yet counted since Node
is non-static.
{quote}
The reference to Node is already counted, use 64-bits system/JVM as example,
the first '8' is the reference to the B-Tree root. The second '8' is the null
reference for children in BTree#Node, of course we are talking about the
directory which is not large and only contains one B-Tree node.
Nicholas, I am going to fix the two places in the JIRA description and analysis
in JIRA comments, which we find so far
# fix the time complexity of insert/delete for ArrayList
# fix the description about memory usage for B-Tree to add the system/JVM
information and add more detailed information.
Any other errors do you find besides these? please tell me and appreciate if
you can also help to edit them directly.
> 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
>
>
> 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/search, the time
> complexity is O(log n), but insertion/deleting causes re-allocations and
> copies of big arrays, so the operations are costly. For example, if the
> children grow to 1M size, the ArrayList will resize to > 1M capacity, so need
> > 1M * 4bytes = 4M 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)