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https://issues.apache.org/jira/browse/COUCHDB-92?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12677080#action_12677080
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Adam Kocoloski commented on COUCHDB-92:
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Hi, I took a shot at compacting views this week. Initial results look
promising. I took the simpler approach of letting the compaction recompute the
reductions. I also let the MapReduce view updater take care of the situation
where the compacted view is still behind the main view due to documents being
updated during compaction. The draft API is
HTTP
POST /dbname/_compact/groupname => 202 {"ok":true}
Erlang
couch_view_compactor:start_compact(<<"dbname">>, <<"_design/groupname">>) -> ok
Code is available on GitHub at
http://github.com/kocolosk/couchdb/tree/jira-92
Cheers, Adam
> Have compaction work on view indexes
> ------------------------------------
>
> Key: COUCHDB-92
> URL: https://issues.apache.org/jira/browse/COUCHDB-92
> Project: CouchDB
> Issue Type: Improvement
> Components: JavaScript View Server
> Affects Versions: 0.8
> Reporter: Jan Lehnardt
> Fix For: 0.9
>
>
> Right now, view indexes just grow and grow with each new index update. Since
> they are just indexes, and not the data itself, compaction is simply a matter
> of deleting the index files.
> Also, the current Btree implementation isn't completely self balanacing. It
> misses a balancing condition, partially for efficiency (it's an expensive
> balancing operation), and for expediency. It was easier to not implement it
> and gets the general case perormance boost.
> The thing about this is, the btree code can remain as is if the indexing
> compaction just recopies the map values (and back indexes) and recomputes the
> reduction values. That's a very simple design, however, if the btree is
> completely self balancing, then the btree can be copied on a node by node
> basis, instead of a value by value basis, and the reduction values need not
> be recomputed all. This will make the compaction significantly faster overall.
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