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Posted to issues@hbase.apache.org by "Jean-Daniel Cryans (JIRA)" <ji...@apache.org> on 2011/06/21 22:33:48 UTC

[jira] [Updated] (HBASE-2506) Too easy to OOME a RS

     [ https://issues.apache.org/jira/browse/HBASE-2506?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jean-Daniel Cryans updated HBASE-2506:
--------------------------------------

         Priority: Critical  (was: Blocker)
    Fix Version/s:     (was: 0.92.0)
                   0.94.0

Bumping to 0.94, this jira is more like a wish rather than an actual bug with a specific plan.

> Too easy to OOME a RS
> ---------------------
>
>                 Key: HBASE-2506
>                 URL: https://issues.apache.org/jira/browse/HBASE-2506
>             Project: HBase
>          Issue Type: Bug
>            Reporter: Jean-Daniel Cryans
>            Priority: Critical
>              Labels: moved_from_0_20_5
>             Fix For: 0.94.0
>
>
> Testing a cluster with 1GB heap, I found that we are letting the region servers kill themselves too easily when scanning using pre-fetching. To reproduce, get 10-20M rows using PE and run a count in the shell using CACHE => 30000 or any other very high number. For good measure, here's the stack trace:
> {code}
> 2010-04-30 13:20:23,241 FATAL org.apache.hadoop.hbase.regionserver.HRegionServer: OutOfMemoryError, aborting.
> java.lang.OutOfMemoryError: Java heap space
>         at java.util.Arrays.copyOf(Arrays.java:2786)
>         at java.io.ByteArrayOutputStream.write(ByteArrayOutputStream.java:94)
>         at java.io.DataOutputStream.write(DataOutputStream.java:90)
>         at org.apache.hadoop.hbase.client.Result.writeArray(Result.java:478)
>         at org.apache.hadoop.hbase.io.HbaseObjectWritable.writeObject(HbaseObjectWritable.java:312)
>         at org.apache.hadoop.hbase.io.HbaseObjectWritable.write(HbaseObjectWritable.java:229)
>         at org.apache.hadoop.hbase.ipc.HBaseServer$Handler.run(HBaseServer.java:941)
> 2010-04-30 13:20:23,241 INFO org.apache.hadoop.hbase.regionserver.HRegionServer: Dump of metrics: request=0.0, regions=29, stores=29, storefiles=44, storefileIndexSize=6, memstoreSize=255,
>  compactionQueueSize=0, usedHeap=926, maxHeap=987, blockCacheSize=1700064, blockCacheFree=205393696, blockCacheCount=0, blockCacheHitRatio=0
> {code}
> I guess the same could happen with largish write buffers. We need something better than OOME.

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