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From Riyad Kalla <>
Subject Re: CouchDB compaction not catching up.
Date Thu, 07 Mar 2013 08:24:50 GMT
Can you provide some insight into how you decide which large batches of
records to delete and roughly how big (MB/GB wise) those batches are? What
is the required longevity of this tx information in this couch store? Is
this just temporary storage or is this the system of record and what you
are deleting in large batches are just temporary intermediary data?

Understanding how you are using the data and turning over the data could
help assess some alternative strategies.


On Thu, Mar 7, 2013 at 12:19 AM, Nicolas Peeters <>wrote:

> Hi CouchDB Users,
> *Disclaimer: I'm very aware that the use case is definitely not the best
> for CouchDB, but for now, we have to deal with it.*
> *Scenario:*
> We have a fairly large (~750Gb) CouchDB (1.2.0) database that is being
> used for transactional logs (very write heavy) (bad idea/design, I know,
> but that's besides the point of this question - we're looking at
> alternative designs). Once in a while, we delete some of the records in
> large batches and we have scheduled auto compaction, checking every 2
> hours.
> This is the compaction config:
> [image: Inline image 1]
> From what I can see, the DB is being hammered significantly every 12 hours
> and the compaction is taking (sometimes 24 hours (with a size of 100GB of
> log data, sometimes much more (up to 500GB)).
> We run on EC2. Large instances with EBS. No striping (yet), no IOPS. We
> tried fatter machines, but the improvement was really minimal.
> **
> *The problem:*
> The problem is that compaction takes a very long time (e.g. 12h+) and
> reduces the performance of the entire stack. The main issue seems to be
> that it's hard for the compaction process to "keep up" with the insertions,
> hence why it takes so long. Also, the compaction of the view takes long
> time (sometimes the view is 100GB). During the re-compaction of the view,
> clients don't get a response, which is blocking the processes.
> [image: Inline image 2]
> The view compaction takes approx. 8 hours and the indexing for the view
> are therefore slower and during the time that view indexes, another 300k
> insertions have been done (and it doesn't catch up). The only way to solve
> the problem was to throttle the number of inserts from the app itself and
> then eventually the view compaction resolved. If we would have continued to
> insert at the same rate, it would not have finished (and ultimately, we
> would have run out of disk space).
> Any recommendations to set it up on EC2 is welcome. Also configuration
> settings for the compaction would be helpful.
> Thanks.
> Nicolas
> PS: We are happily using CouchDB for other (more traditional) use case
> where it does go very well.

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