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