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https://issues.apache.org/jira/browse/HBASE-13876?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Abhilash updated HBASE-13876:
-----------------------------
Description:
I am trying to improve the performance of DefaultHeapMemoryTuner by introducing
some more checks. The current checks under which the DefaultHeapMemoryTuner
works are very rare so I am trying to weaken these checks to improve its
performance.
Check current memstore size and current block cache size. If we are using less
than 50% of currently available block cache size we say block cache is
sufficient and same for memstore. This check will be very effective when server
is either load heavy or write heavy. Earlier version just waited to for number
of evictions / number of flushes to be zero which is very rare to happen.
Otherwise based on percent change in number of cache misses and number of
flushes we increase / decrease memory provided for caching / memstore. After
doing so, on next call of HeapMemoryTuner we verify that last change has indeed
decreased number of evictions / flush ( combined). I am doing this analysis by
comparing percent change (which is basically nothing but normalized derivative)
of number of evictions and number of flushes during last two periods. The main
motive for doing this was that if we have random reads then even after
increasing block cache we wont be able to decrease number of cache misses and
eventually we will not waste memory on block caches.
was:
I am trying to improve the performance of DefaultHeapMemoryTuner by introducing
some more checks. The current checks under which the DefaultHeapMemoryTuner
works are very rare so I am trying to weaken these checks to improve its
performance.
Check current memstore size and current block cache size. If we are using less
than 50% of currently available block cache size we say block cache is
sufficient and same for memstore. This check will be very effective when server
is either load heavy or write heavy. Earlier version just waited to for number
of evictions / number of flushes to be zero which is very rare to happen.
Otherwise based on percent change in number of cache misses and number of
flushes we increase / decrease memory provided for caching / memstore. After
doing so, on next call of HeapMemoryTuner we verify that last change has indeed
decreased number of evictions / flush ( combined). I am doing this analysis by
comparing percent change (which is basically nothing but normalized derivative)
of number of evictions and number of flushes in last two periods. The main
motive for doing this was that if we have random reads then even after
increasing block cache we wont be able to decrease number of cache misses and
eventually we will not waste memory on block caches.
> Improving performance of HeapMemoryManager
> ------------------------------------------
>
> Key: HBASE-13876
> URL: https://issues.apache.org/jira/browse/HBASE-13876
> Project: HBase
> Issue Type: Improvement
> Components: hbase, regionserver
> Affects Versions: 2.0.0, 1.0.1, 1.1.0, 1.1.1
> Reporter: Abhilash
> Assignee: Abhilash
> Priority: Minor
> Attachments: HBASE-13876.patch
>
>
> I am trying to improve the performance of DefaultHeapMemoryTuner by
> introducing some more checks. The current checks under which the
> DefaultHeapMemoryTuner works are very rare so I am trying to weaken these
> checks to improve its performance.
> Check current memstore size and current block cache size. If we are using
> less than 50% of currently available block cache size we say block cache is
> sufficient and same for memstore. This check will be very effective when
> server is either load heavy or write heavy. Earlier version just waited to
> for number of evictions / number of flushes to be zero which is very rare to
> happen.
> Otherwise based on percent change in number of cache misses and number of
> flushes we increase / decrease memory provided for caching / memstore. After
> doing so, on next call of HeapMemoryTuner we verify that last change has
> indeed decreased number of evictions / flush ( combined). I am doing this
> analysis by comparing percent change (which is basically nothing but
> normalized derivative) of number of evictions and number of flushes during
> last two periods. The main motive for doing this was that if we have random
> reads then even after increasing block cache we wont be able to decrease
> number of cache misses and eventually we will not waste memory on block
> caches.
>
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