[jira] [Updated] (ACCUMULO-3248) Document in memory map sizing guidelines

["Josh Elser (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ACCUMULO-3248?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Elser updated ACCUMULO-3248:
---------------------------------
    Fix Version/s:     (was: 1.7.0)
                   1.8.0

> Document in memory map sizing guidelines
> ----------------------------------------
>
>                 Key: ACCUMULO-3248
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-3248
>             Project: Accumulo
>          Issue Type: Improvement
>          Components: docs
>            Reporter: Sean Busbey
>             Fix For: 1.8.0
>
>
> From [~ecn]'s comments on ACCUMULO-3246
> {quote}
> A bigger IMM will still be used. It just doesn't help for long-running ingest (which is the world I live in).
> Let's say you have 10G to ingest, 1G / unit time, and a 1G IMM.
> At .5 G, the IMM starts minor compacting. It can write out that .5G at about the same speed as the WAL can accept the next .5G.
> So, by the time the first .5G is done writing, we can start writing the next .5G.
> Doubling the IMM just moves the bar from .5G chunks to 1G chunks. Both of these are large enough to take advantage of compression and write buffer sizes.
> You can argue that you will do fewer major compactions, and that's true. But these also occur in the background, and don't affect query/ingest except that they consume resources, create disk contention and invalidate blocks/buffers. Bigger flushes will require longer major compactions when they finally happen, so there's no win.
> So, the IMM for each actively ingesting tablet should be ~ HDFS block size. More IMM will be used, and will give you some big numbers on initial ingest, but sustained ingest will not improve.
> Because aggregation/combiners run only at compaction time, a larger IMM may actually hurt performance.
> {quote}
> We should roll these into the ref guide.



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