[
https://issues.apache.org/jira/browse/IGNITE-4037?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15577952#comment-15577952
]
Sergi Vladykin commented on IGNITE-4037:
----------------------------------------
As the original author of HadoopSkipList :) I think it must be relatively easy
to refactor it to use memory mapped files instead of offheap memory. This way
OS will manage everything for us. Just an idea for consideration.
> High memory consumption when executing TeraSort Hadoop example
> --------------------------------------------------------------
>
> Key: IGNITE-4037
> URL: https://issues.apache.org/jira/browse/IGNITE-4037
> Project: Ignite
> Issue Type: Bug
> Affects Versions: 1.6
> Reporter: Ivan Veselovsky
> Assignee: Ivan Veselovsky
> Fix For: 1.7
>
>
> When executing TeraSort Hadoop example, we observe high memory consumption
> that frequently leads to cluster malfunction.
> The problem can be reproduced in unit test, even with 1 node, and with not
> huge input data set as 100Mb.
> Dump analysis shows that memory is taken in various queues:
> org.apache.ignite.internal.processors.hadoop.taskexecutor.HadoopExecutorService#queue
>
> and
> task queue of
> org.apache.ignite.internal.processors.hadoop.jobtracker.HadoopJobTracker#evtProcSvc
> .
> Since objects stored in these queues hold byte arrays of significant size,
> memory if consumed very fast.
> It looks like real cause of the problem is that some tasks are blocked.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
