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From "Adam Kocoloski (JIRA)" <j...@apache.org>
Subject [jira] Closed: (COUCHDB-481) Continuous replication stability issues
Date Tue, 25 Aug 2009 20:13:59 GMT

     [ https://issues.apache.org/jira/browse/COUCHDB-481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Adam Kocoloski closed COUCHDB-481.
----------------------------------

    Resolution: Fixed

New code looks much better according to rnewson.  Everything is committed and merged into
0.10.x, so its time to close this out.

> Continuous replication stability issues
> ---------------------------------------
>
>                 Key: COUCHDB-481
>                 URL: https://issues.apache.org/jira/browse/COUCHDB-481
>             Project: CouchDB
>          Issue Type: Bug
>          Components: Database Core
>    Affects Versions: 0.10
>            Reporter: Robert Newson
>            Assignee: Adam Kocoloski
>            Priority: Blocker
>             Fix For: 0.10
>
>
> I've been trying continuous replication with a different combinations of push/pull with
2, 3 and 4 nodes. I've hit several problems and discussed them on IRC with jan___ and kocolosk.
> Firstly, the status page in Futon (and the output of _active_tasks) becomes inaccurate
sometimes (and does not recover). This complicates investigation of the more serious problems.
> I configured a circle of four nodes with continuous pull replication and used 'ab' to
write documents to the first one. Success is for all documents to appear at all nodes. For
small batches of documents, this works. It fails, every time, with large numbers. I use batch=ok
on all requests and have not successfully run a 100k run. 
> The replication task at some point in the circle eventually dumps a huge stacktrace (which
kocolosk has seen and I would need to sanitize private server names from before I could post)
and dies, and is not restarted. Worse, the client process injecting the documents also dies
sometimes.
> I have had perfect replication runs with 2 and 3 nodes in a circle, and no successful
replication runs with 4 nodes. Using a star pattern (where each node pulls or pushes to the
remaining three) fails even more rapidly.

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