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From Mark Hahn <>
Subject Re: Complex queries & results
Date Wed, 08 Jun 2011 05:19:43 GMT
> couch doesn't answer any query while it's doing its view updates.

I was shocked when I first experienced this myself.  I posted here and found
the bad news.  This was the first and so far only serious wart I've found on

I received replies suggesting that I put different views in separate design
docs.  Apparently the blocking only happens on the same design doc, at least
when updating the view code.  When one view in a design doc needs updating
it updates them all.  I haven't tried this yet.

I also haven't yet played with the "stale" option, which allows reading docs
that are out-of-date.  Between the two options I've got my fingers crossed
that I can avoiding any real blocking.  Blocking a server is the worst sin
of all.

On Tue, Jun 7, 2011 at 9:49 PM, Torstein Krause Johansen <> wrote:

> On 07/06/11 14:21, Torstein Krause Johansen wrote:
>  On 06/06/11 22:09, Sean Copenhaver wrote:
>>> I tried this out with 10 docs fitting your example structure and with a
>>> plain query (no grouping, no filtering, reduce on) I get back:
>>> { John: 4, Jane: 6 }
>> Looks spot on! Thank you _so_ much for doing this.
>> I'm really curious how this performs, I will be-siege my couch with bulk
>> updates, giving it a big-ish data set while simultaneously be-siege it
>> with reads GETs querying this map/reduce you've created. Will be very
>> interesting.
> I started by using siege to post 1000s of documents with 14 fields &
> values (the actual data my application will be using) and let it run
> till I got a fair data set. After reducing the now ~710,000 document big DB
> from 4.2GB to ~360MB, the queries went from ~8s to ~0.05s. Fantastic.
> I then unleashed siege again (100 parallel threads this time, creating
> 200 new documents each using the bulk endpoint (siege somehow didn't
> want to work with my initial 1000 document big .json file, so I had to
> reduce it to 200 to make siege not choke on it)) and wget (creating random
> data, using the normal document endpoint), the queries immediately started
> to climb upwards, 1s, 2s, 3s ... 80s and with no sign of stopping.
> To see if it was the simultaneous write and read that were causing the
> longer query times, I stopped siege and wget on my test machine
> (different host, going through the same network switch).
> Since there had been quite a number of new documents, couch started
> its checkpoint view updating leaving my couch unable to respond to any
> queries for around 90s.
> The query times then dropped down, stabilising on 0.06 to 0.08s when
> querying the DB with now ~800,000 documents and result sets containing ~50
> keys with ~2000 counts each. Great!
> The climbing query times when doing so many updates is not a real
> concern for me as I'll put a queue in front of couch which buffers up
> the incoming write requests and fires up a bulk update every 30
> seconds or so. Couch seems more than fast enough write-wise as long as
> the documents are provided in bulks.
> What does worry me, though, is that couch doesn't answer any query
> while it's doing its view updates. Even with a nice cache server in
> front which can serve old content till couch is finished updating its
> views, I still find it a bit unsettling. Do you have any tips for me here?
> Cheers,
> -Torstein

Mark Hahn
Website Manager

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