hadoop-hdfs-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Hao Chen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HDFS-6914) Resolve huge memory consumption Issue with OIV processing PB-based fsimages
Date Fri, 22 Aug 2014 09:42:11 GMT

     [ https://issues.apache.org/jira/browse/HDFS-6914?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Hao Chen updated HDFS-6914:
---------------------------

    Status: Patch Available  (was: Open)

Due to the internal layout changes introduced by the protobuf-based fsimage, OIV processing
program consumes excessive amount of memory. For example, in order to export the fsimage in
size of 8GB, it should have taken about 85GB memory which is really not reasonable and impacted
performance of other services badly in the same server.

To resolve above problem, I submit this patch which will reduce memory consumption of OIV
LSR processing by about half. And the solution is very simple. Instead of holding the whole
deserialized INode object in memory, this patch just holds the attribute `name` of INode as
node of the tree structure in heap.


> Resolve huge memory consumption Issue with OIV processing PB-based fsimages
> ---------------------------------------------------------------------------
>
>                 Key: HDFS-6914
>                 URL: https://issues.apache.org/jira/browse/HDFS-6914
>             Project: Hadoop HDFS
>          Issue Type: Bug
>    Affects Versions: 2.4.1
>            Reporter: Hao Chen
>              Labels: hdfs
>             Fix For: 2.5.1
>
>         Attachments: HDFS-6914.patch
>
>
> For better managing and supporting a lot of large hadoop clusters in production, we internally
need to automatically export fsimage to delimited text files in LSR style and then analyse
with hive or pig or build system metrics for real-time analyzing. 
> However  due to the internal layout changes introduced by the protobuf-based fsimage,
OIV processing program consumes excessive amount of memory. For example, in order to export
the fsimage in size of 8GB, it should have taken about 85GB memory which is really not reasonable
and impacted performance of other services badly in the same server.
> To resolve above problem, I submit this patch which will reduce memory consumption of
OIV LSR processing by 50%.



--
This message was sent by Atlassian JIRA
(v6.2#6252)

Mime
View raw message