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https://issues.apache.org/jira/browse/HBASE-7391?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13733363#comment-13733363
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ramkrishna.s.vasudevan edited comment on HBASE-7391 at 8/8/13 10:44 AM:
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Patch for trunk. Once HBASE-8615 is fixed this can be checked for.
Ran the test suite. Got one failure in TestWALReplay but running it once again
it passed.
{Edit}HBASE-8315 to HBASE-8615 {Edit}
was (Author: ram_krish):
Patch for trunk. Once HBASE-8315 is fixed this can be checked for.
Ran the test suite. Got one failure in TestWALReplay but running it once again
it passed.
> Review/improve HLog compression's memory consumption
> ----------------------------------------------------
>
> Key: HBASE-7391
> URL: https://issues.apache.org/jira/browse/HBASE-7391
> Project: HBase
> Issue Type: Bug
> Reporter: Jean-Daniel Cryans
> Assignee: ramkrishna.s.vasudevan
> Fix For: 0.95.2
>
> Attachments: HBASE-7391_1.patch
>
>
> From Ram in
> http://mail-archives.apache.org/mod_mbox/hbase-dev/201205.mbox/%3C00bc01cd31e6$7caf1320$760d3960$%25vasude...@huawei.com%3E:
> {quote}
> One small observation after giving +1 on the RC.
> The WAL compression feature causes OOME and causes Full GC.
> The problem is, if we have 1500 regions and I need to create recovered.edits
> for each of the region (I don’t have much data in the regions (~300MB)).
> Now when I try to build the dictionary there is a Node object getting
> created.
> Each node object occupies 32 bytes.
> We have 5 such dictionaries.
> Initially we create indexToNodes array and its size is 32767.
> So now we have 32*5*32767 = ~5MB.
> Now I have 1500 regions.
> So 5MB*1500 = ~7GB.(Excluding actual data). This seems to a very high
> initial memory foot print and this never allows me to split the logs and I
> am not able to make the cluster up at all.
> Our configured heap size was 8GB, tested in 3 node cluster with 5000
> regions, very less data( 1GB in hdfs cluster including replication), some
> small data is spread evenly across all regions.
> The formula is 32(Node object size)*5(No of dictionary)*32767(no of node
> objects)*noofregions.
> {quote}
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