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From "Matt Corgan (JIRA)" <j...@apache.org>
Subject [jira] [Created] (HBASE-6093) Flatten timestamps during flush and compaction
Date Fri, 25 May 2012 06:16:22 GMT
Matt Corgan created HBASE-6093:

             Summary: Flatten timestamps during flush and compaction
                 Key: HBASE-6093
                 URL: https://issues.apache.org/jira/browse/HBASE-6093
             Project: HBase
          Issue Type: New Feature
          Components: io, performance, regionserver
            Reporter: Matt Corgan
            Priority: Minor

Many applications run with maxVersions=1 and do not care about timestamps, or they will specify
one timestamp per row as a normal KeyValue rather than per-cell.

Then, DataBlockEncoders like those in HBASE-4218 and HBASE-4676 often encode timestamps as
diffs from the previous or diffs from the minimum timestamp in the block.  If all timestamps
in a block are the same, they will all compress to basically <= 8 bytes total per block.
 This can be 10% to 25% space savings for some schemas, and that savings is realized both
on disk and in block cache.

We could add a ColumnFamily setting flattenTimestamps=[true/false].  If true, then all timestamps
are modified during a flush/compaction to the currentTimeMillis() at the start of the flush/compaction.
 If all timestamps are made identical in a file, then the encoder will be able to eliminate

The simplest use case is probably that where all inserts are type=Put, there are no overwrites,
and there are no deletes.  As use cases get more complex, then so does the implementation.

For example, what happens when there is a Put and a Delete of the same cell in the same memstore?
 Maybe for a flush at t=flushStartTime, the Put gets timestamp=t, and the Delete gets timestamp=t+1.
 Or maybe HBASE-4241 could take care of this problem.

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