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From "Terin Stock (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (COUCHDB-2102) Downstream replicator database bloat
Date Fri, 07 Mar 2014 22:15:44 GMT

    [ https://issues.apache.org/jira/browse/COUCHDB-2102?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13924398#comment-13924398
] 

Terin Stock commented on COUCHDB-2102:
--------------------------------------

I was continuously replicating a database for only 6 days and found that my database had grown
to fill up the entire disk space, an extra 30 GB over the source database, and leaving me
in a situation where I was unable to compact.

> Downstream replicator database bloat
> ------------------------------------
>
>                 Key: COUCHDB-2102
>                 URL: https://issues.apache.org/jira/browse/COUCHDB-2102
>             Project: CouchDB
>          Issue Type: Bug
>      Security Level: public(Regular issues) 
>          Components: Replication
>            Reporter: Isaac Z. Schlueter
>
> When I do continuous replication from one db to another, I get a lot of bloat over time.
> For example, replicating a _users db with a relatively low level of writes, and around
30,000 documents, the size on disk of the downstream replica was over 300MB after 2 weeks.
 I compacted the DB, and the size dropped to about 20MB (slightly smaller than the source
database).
> Of course, I realize that I can configure compaction to happen regularly.  But this still
seems like a rather excessive tax.  It is especially shocking to users who are replicating
a 100GB database full of attachments, and find it grow to 400GB if they're not careful!  You
can easily end up in a situation where you don't have enough disk space to successfully compact.
> Is there a fundamental reason why this happens?  Or has it simply never been a priority?
 It'd be awesome if replication were more efficient with disk space.



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