The GAE DAL does not try to handle the 1000 fetch limit. GAE apps must be designed differently, meaning if you need more than 1000 results from a query, then probably what you were attempting to do is not scalable. Queries are O(#results), so you should keep your queries small to make your requests fast.
Web requests should return results not compute results. To compute results, you should use the 'appengine task queue' to register webhook call-backs to perform aggregation offline like a map- reduce job. Then web requests are quick and just serve a short list of answers. As far as maturity, the GAE DAL driver has been used in production for over a year in its current form, so it is stable. Since then, Google has added a Capability API, so you can now tell if the DB is in read- only (maintenance) mode before attempting writes, which means you could return a nice maintenance mode message to your users instead of failing. Also the GAE datastore can sometimes throw spurious 'Datastore Timeout Exceptions' which could be caught and then could attempt exponential backoff and retry. Appengine apps are designed differently, and those differences are what allow GAE apps to scale horizontally. Robin On Sep 19, 7:28 am, hcvst <hcv...@googlemail.com> wrote: > Hi, > > I am planning to deploy to GAE and should hopefully see quite a few > users eventually. > Does DAL's GAE support scale well? Will I run into the 1000 fetch() > limit or is that handled > under the hood for example? > Should one rather handcraft the Datastore interface with let's say > 1000 concurrent users or > will web2py's DAL handle it and handle it efficiently? > It would be great if someone knowledgeable in web2py's GAE support > could restate GAE's > "Best practices for writing scalable applications" > athttp://code.google.com/appengine/articles/scaling/overview.html > in terms of web2py's DAL for GAE. It's a lot to ask for, I know, but > it sure would be great :) > > Thanks, > HC --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "web2py-users" group. To post to this group, send email to web2py@googlegroups.com To unsubscribe from this group, send email to web2py+unsubscr...@googlegroups.com For more options, visit this group at http://groups.google.com/group/web2py?hl=en -~----------~----~----~----~------~----~------~--~---
