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Chris Anderson wrote:
>> The ticketing system should be for smaller scope issues, I think.

I see it more as a "don't forget about this" plus somewhere for others to
say "this also affects me" or "here is additional information/angles".
Obviously there is a fine line between that kind of thing and a discussion.
 My big concern is that the issue was hashed out here over a few days then
the thread goes dead, and the issue is forgotten.  A JIRA report of open
issues should be a todo list of bugs to fix and improvements to make.

>> Optimizing the view server is an agreed goal of the community.

Maybe in people's heads, but it wasn't written down anywhere such as the
tracker or the roadmap.  In fact the front page of couchdb.org claims that
Erlang allows for the CouchDB design to be scalable and the overview page
makes an "efficient" claim in the last sentence.  The current implementation
is neither of these.

>> Probably the best way to help is to take a look at all the work
>> Damien's done in trunk (the pipelining) and perhaps the parallel
>> writers optimization he has. 

BTW I have been using trunk for over a week.  It is better than 0.10 that I
was using before but not that much of an improvement.  And changes in the
way I generate some of my data have hurt me again (I can either order for
_id or for view keys but not both at the same time) so my initial DB has now
gone from 4GB to 15GB (I optimized for views).

>> We could really use a way to take the
>> benchmarks you ran, and put them into the buildbot.

Sadly I can't do it with my real data because it belongs to someone else.
However I hereby commit to produce a representative benchmark that is
substantially similar in performance and data within the next two weeks.
(Also note that there is nothing special about what I am doing - anyone with
similar numbers of documents has similar issues.)

I'm hoping that more can be done about the size issues soon too.  (I think
that addressing the size issues will help a lot since it will require way
less CPU and I/O to produce and use smaller files.)

Roger
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