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From "Simon Willnauer (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-7976) Make TieredMergePolicy respect maxSegmentSizeMB and allow singleton merges of very large segments
Date Mon, 07 May 2018 12:36:00 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-7976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16465852#comment-16465852
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Simon Willnauer commented on LUCENE-7976:
-----------------------------------------

> [~erickerickson] if you index with a single thread, and `commit()` at the right times
you can build a precise set of segments and then directly test TMP's behavior.  I like approach
one since it then gives you full deterministic control to enumerate the different tricky cases
that surface in real indices?

 

I really think we should start working towards testing this as real unittest. Creating stuff
with IW and depending on it is a big issue. We can change the code to be less dependent on
IW. I think we should and we should do it before making significant changes to MPs IMO

> Make TieredMergePolicy respect maxSegmentSizeMB and allow singleton merges of very large
segments
> -------------------------------------------------------------------------------------------------
>
>                 Key: LUCENE-7976
>                 URL: https://issues.apache.org/jira/browse/LUCENE-7976
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Erick Erickson
>            Assignee: Erick Erickson
>            Priority: Major
>         Attachments: LUCENE-7976.patch, LUCENE-7976.patch, LUCENE-7976.patch, LUCENE-7976.patch,
LUCENE-7976.patch, LUCENE-7976.patch, LUCENE-7976.patch
>
>
> We're seeing situations "in the wild" where there are very large indexes (on disk) handled
quite easily in a single Lucene index. This is particularly true as features like docValues
move data into MMapDirectory space. The current TMP algorithm allows on the order of 50% deleted
documents as per a dev list conversation with Mike McCandless (and his blog here:  https://www.elastic.co/blog/lucenes-handling-of-deleted-documents).
> Especially in the current era of very large indexes in aggregate, (think many TB) solutions
like "you need to distribute your collection over more shards" become very costly. Additionally,
the tempting "optimize" button exacerbates the issue since once you form, say, a 100G segment
(by optimizing/forceMerging) it is not eligible for merging until 97.5G of the docs in it
are deleted (current default 5G max segment size).
> The proposal here would be to add a new parameter to TMP, something like <maxAllowedPctDeletedInBigSegments>
(no, that's not serious name, suggestions welcome) which would default to 100 (or the same
behavior we have now).
> So if I set this parameter to, say, 20%, and the max segment size stays at 5G, the following
would happen when segments were selected for merging:
> > any segment with > 20% deleted documents would be merged or rewritten NO MATTER
HOW LARGE. There are two cases,
> >> the segment has < 5G "live" docs. In that case it would be merged with smaller
segments to bring the resulting segment up to 5G. If no smaller segments exist, it would just
be rewritten
> >> The segment has > 5G "live" docs (the result of a forceMerge or optimize).
It would be rewritten into a single segment removing all deleted docs no matter how big it
is to start. The 100G example above would be rewritten to an 80G segment for instance.
> Of course this would lead to potentially much more I/O which is why the default would
be the same behavior we see now. As it stands now, though, there's no way to recover from
an optimize/forceMerge except to re-index from scratch. We routinely see 200G-300G Lucene
indexes at this point "in the wild" with 10s of  shards replicated 3 or more times. And that
doesn't even include having these over HDFS.
> Alternatives welcome! Something like the above seems minimally invasive. A new merge
policy is certainly an alternative.



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