More suggestion folks use offheap block cache
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@ -183,6 +183,8 @@
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save a bit of YGC churn and allocate in the old gen directly. </para>
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save a bit of YGC churn and allocate in the old gen directly. </para>
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<para>For more information about GC logs, see <xref
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<para>For more information about GC logs, see <xref
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linkend="trouble.log.gc" />. </para>
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linkend="trouble.log.gc" />. </para>
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<para>Consider also enabling the offheap Block Cache. This has been shown to mitigate
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GC pause times. See <xref linkend="block.cache" /></para>
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</section>
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</section>
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</section>
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</section>
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</section>
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</section>
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@ -723,6 +725,8 @@ htable.close();
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<methodname>setCacheBlocks</methodname> method. For input Scans to MapReduce jobs, this
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<methodname>setCacheBlocks</methodname> method. For input Scans to MapReduce jobs, this
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should be <varname>false</varname>. For frequently accessed rows, it is advisable to use the
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should be <varname>false</varname>. For frequently accessed rows, it is advisable to use the
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block cache.</para>
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block cache.</para>
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<para>Cache more data by moving your Block Cache offheap. See <xref linkend="offheap.blockcache" /></para>
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</section>
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</section>
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<section
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<section
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xml:id="perf.hbase.client.rowkeyonly">
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xml:id="perf.hbase.client.rowkeyonly">
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