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https://issues.apache.org/jira/browse/HBASE-13408?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15009577#comment-15009577
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Edward Bortnikov commented on HBASE-13408:
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Community - please review. 

> HBase In-Memory Memstore Compaction
> -----------------------------------
>
>                 Key: HBASE-13408
>                 URL: https://issues.apache.org/jira/browse/HBASE-13408
>             Project: HBase
>          Issue Type: New Feature
>            Reporter: Eshcar Hillel
>            Assignee: Eshcar Hillel
>             Fix For: 2.0.0
>
>         Attachments: HBASE-13408-trunk-v01.patch, 
> HBASE-13408-trunk-v02.patch, HBASE-13408-trunk-v03.patch, 
> HBASE-13408-trunk-v04.patch, HBASE-13408-trunk-v05.patch, 
> HBASE-13408-trunk-v06.patch, HBASE-13408-trunk-v07.patch, 
> HBASE-13408-trunk-v08.patch, HBASE-13408-trunk-v09.patch, 
> HBASE-13408-trunk-v10.patch, 
> HBaseIn-MemoryMemstoreCompactionDesignDocument-ver02.pdf, 
> HBaseIn-MemoryMemstoreCompactionDesignDocument-ver03.pdf, 
> HBaseIn-MemoryMemstoreCompactionDesignDocument.pdf, 
> InMemoryMemstoreCompactionEvaluationResults.pdf, 
> InMemoryMemstoreCompactionMasterEvaluationResults.pdf, 
> InMemoryMemstoreCompactionScansEvaluationResults.pdf, 
> StoreSegmentandStoreSegmentScannerClassHierarchies.pdf
>
>
> A store unit holds a column family in a region, where the memstore is its 
> in-memory component. The memstore absorbs all updates to the store; from time 
> to time these updates are flushed to a file on disk, where they are 
> compacted. Unlike disk components, the memstore is not compacted until it is 
> written to the filesystem and optionally to block-cache. This may result in 
> underutilization of the memory due to duplicate entries per row, for example, 
> when hot data is continuously updated. 
> Generally, the faster the data is accumulated in memory, more flushes are 
> triggered, the data sinks to disk more frequently, slowing down retrieval of 
> data, even if very recent.
> In high-churn workloads, compacting the memstore can help maintain the data 
> in memory, and thereby speed up data retrieval. 
> We suggest a new compacted memstore with the following principles:
> 1.    The data is kept in memory for as long as possible
> 2.    Memstore data is either compacted or in process of being compacted 
> 3.    Allow a panic mode, which may interrupt an in-progress compaction and 
> force a flush of part of the memstore.
> We suggest applying this optimization only to in-memory column families.
> A design document is attached.
> This feature was previously discussed in HBASE-5311.



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