The view server (couchjs) today is primarily a local process interacting with couch through stdin/stdout. This is the one that does all the map/reduce. I can envision at some point (not sure if and when it's planned), the view servers executing on remote machines through the exact same line-based JSON protocol (though using TCP) to heavily parallelize the map/reduce process. The incremental set of documents to be indexed can be easily chunked and distributed across this cluster. Until that's possible, the single machine solution is going to require some serious compute power (and lots of memory).
IMHO, this [potential] parallelization (in addition to all the benefits of document-centric storage) is what makes couch incredibly attractive from a scaling perspective. K. On Sun, Oct 26, 2008 at 7:08 PM, Julien Guimont <[EMAIL PROTECTED]> wrote: > Thanks for the answer, pretty obvious. > > I would have 1000 to 10000 views to update periodically upon document > updates. There would be 5-10 updates a second and more than 500k documents. > Will couchdb scale in that case? > > Thank you, > Julien. > > On 26-Oct-08, at 10:36 AM, Ayende Rahien <[EMAIL PROTECTED]> wrote: > >> You create a view indexed by update date (or some other always >> incrementing >> value).Then you can ask to get the values by that value. >> >> On Sun, Oct 26, 2008 at 4:19 PM, Julien Guimont < >> [EMAIL PROTECTED]> wrote: >> >>> Hello, >>> >>> I am looking at CouchDB for a new project. So far it matches a lot of >>> requirements that would require ugly hacks using a traditional DB. >>> >>> One requirement I have is to always have the delta results of a view >>> (what >>> documents matching the view has changed since last update). >>> >>> I read http://wiki.apache.org/couchdb/RegeneratingViewsOnUpdate >>> >>> and I understood that the views are being reprocessed only with the >>> documents that have changed. (Am I wrong?) >>> >>> Well, if it is, can how can I get the view results only for those changed >>> documents? >>> >>> Thank you! >>> Julien. >>> >
