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From "Anoop Sam John (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HBASE-10191) Move large arena storage off heap
Date Mon, 10 Mar 2014 09:52:48 GMT

    [ https://issues.apache.org/jira/browse/HBASE-10191?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13925606#comment-13925606
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Anoop Sam John commented on HBASE-10191:
----------------------------------------

[~carp84]  I am working on this stuff of CellBlocks.  (Yes in memory flushes) Coding wise
mostly it is done and will do perf tests also.  Some time I had worked in HBASE-3484 but later
dropped.  Ya here along with Off heap , the discussion of CellBlocks also came in.  This can
greatly reduce the issue we face today with CSLM (When there are too many KVs in it).  We
are parallely working on the Off heap stuff also. My code is like in a combined form now.
Let me seperate it out.  Also see HBASE-10648 which will allow us to have different MemStore
impls.

> Move large arena storage off heap
> ---------------------------------
>
>                 Key: HBASE-10191
>                 URL: https://issues.apache.org/jira/browse/HBASE-10191
>             Project: HBase
>          Issue Type: Umbrella
>            Reporter: Andrew Purtell
>
> Even with the improved G1 GC in Java 7, Java processes that want to address large regions
of memory while also providing low high-percentile latencies continue to be challenged. Fundamentally,
a Java server process that has high data throughput and also tight latency SLAs will be stymied
by the fact that the JVM does not provide a fully concurrent collector. There is simply not
enough throughput to copy data during GC under safepoint (all application threads suspended)
within available time bounds. This is increasingly an issue for HBase users operating under
dual pressures: 1. tight response SLAs, 2. the increasing amount of RAM available in "commodity"
server configurations, because GC load is roughly proportional to heap size.
> We can address this using parallel strategies. We should talk with the Java platform
developer community about the possibility of a fully concurrent collector appearing in OpenJDK
somehow. Set aside the question of if this is too little too late, if one becomes available
the benefit will be immediate though subject to qualification for production, and transparent
in terms of code changes. However in the meantime we need an answer for Java versions already
in production. This requires we move the large arena allocations off heap, those being the
blockcache and memstore. On other JIRAs recently there has been related discussion about combining
the blockcache and memstore (HBASE-9399) and on flushing memstore into blockcache (HBASE-5311),
which is related work. We should build off heap allocation for memstore and blockcache, perhaps
a unified pool for both, and plumb through zero copy direct access to these allocations (via
direct buffers) through the read and write I/O paths. This may require the construction of
classes that provide object views over data contained within direct buffers. This is something
else we could talk with the Java platform developer community about - it could be possible
to provide language level object views over off heap memory, on heap objects could hold references
to objects backed by off heap memory but not vice versa, maybe facilitated by new intrinsics
in Unsafe. Again we need an answer for today also. We should investigate what existing libraries
may be available in this regard. Key will be avoiding marshalling/unmarshalling costs. At
most we should be copying primitives out of the direct buffers to register or stack locations
until finally copying data to construct protobuf Messages. A related issue there is HBASE-9794,
which proposes scatter-gather access to KeyValues when constructing RPC messages. We should
see how far we can get with that and also zero copy construction of protobuf Messages backed
by direct buffer allocations. Some amount of native code may be required.



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