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From "Shawn Heisey (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-5705) ConcurrentMergeScheduler/maxMergeCount default is too low
Date Sun, 25 May 2014 18:20:01 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-5705?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14008395#comment-14008395
] 

Shawn Heisey commented on LUCENE-5705:
--------------------------------------

bq. but it sounds like you're doing a large initial import from JDBC? Maybe you only do a
single import even?

I do imports on all of my shards at once.  There are 96 million docs total right now, growing
at a rate of a few million per year.  One shard (which we call the incremental, but is better
known as a "hot" shard) has only the newest few hundred thousand docs in it.  The rest of
the docs are split between the other six shards with a MySQL CRC32 calculation on the database
primary key, modulo 6.  In production, each of two servers holds three cold shards, the second
server also holds the hot shard.  This means that for the long haul of a full rebuild, each
server is doing three imports at the same time.  This is not running in cloud mode.

DIH is *only* used for full rebuilds.  I have a SolrJ program that does normal updates and
starts/monitors/finishes the rebuilds.

A strong possibility right now is that with my current settings (4.7.2, explicitly configured
with TMP, CMS, and an effective mergeFactor of 35), I would no longer run into this issue
on my production hardware that has fairly fast disks.  Grepping for the "merge time" lines
so far only shows the one overlap which I pasted above.

With the more frequent merging inherent in the default mergeFactor of 10, other users might
have a bigger chance of running into a problem, especially with single or mirrored 7200RPM
disks.

My dev hardware has slower disks (7200RPM RAID1) and houses all seven shards on one server.
 Rebuilds take nearly twice as long there as they do on the production hardware - rebuilds
on that hardware are definitely I/O bound.  The infostream that is now building is being done
on the production hardware.


> ConcurrentMergeScheduler/maxMergeCount default is too low
> ---------------------------------------------------------
>
>                 Key: LUCENE-5705
>                 URL: https://issues.apache.org/jira/browse/LUCENE-5705
>             Project: Lucene - Core
>          Issue Type: Bug
>          Components: core/other
>    Affects Versions: 4.8
>            Reporter: Shawn Heisey
>            Assignee: Shawn Heisey
>            Priority: Minor
>             Fix For: 4.9
>
>         Attachments: LUCENE-5705.patch, LUCENE-5705.patch, dih-example.patch
>
>
> The default value for maxMergeCount in ConcurrentMergeScheduler is 2.  This causes problems
for Solr's dataimport handler when very large imports are done from a JDBC source.
> What happens is that when three merge tiers are scheduled at the same time, the add/update
thread will stop for several minutes while the largest merge finishes.  In the meantime, the
dataimporter JDBC connection to the database will time out, and when the add/update thread
resumes, the import will fail because the ResultSet throws an exception.  Setting maxMergeCount
to 6 eliminates this issue for virtually any size import -- although it is theoretically possible
to have that many simultaneous merge tiers, I've never seen it.
> As long as maxThreads is properly set (the default value of 1 is appropriate for most
installations), I cannot think of a really good reason that the default for maxMergeCount
should be so low.  If someone does need to strictly control the number of threads that get
created, they can reduce the number.  Perhaps someone with more experience knows of a really
good reason to make this default low?
> I'm not sure what the new default number should be, but I'd like to avoid bikeshedding.
 I don't think it should be Integer.MAX_VALUE.



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