On Jun 23, 2014, at 12:26 AM, smur...@gmail.com wrote: > On Sunday, June 22, 2014 3:49:53 PM UTC+2, Roy Smith wrote: > >> Can you give us some more quantitative idea of your requirements? How >> many objects? How much total data is being stored? How many queries >> per second, and what is the acceptable latency for a query? > > Not yet, A whole lot, More than fits in memory, That depends. > > To explain. The data is a network of diverse related objects. I can keep the > most-used objects in memory but not all of them. Indeed, I _need_ to keep > them, otherwise this will be too slow, even when using Mongo instead of > SQLAlchemy. Which objects are "most-used" changes over time. >
Are you sure it won’t fit in memory? Default server memory configs these days tend to start at 128 Gig, and scale to 256 or 384 Gig. -Bill > I could work with MongoEngine by judicious hacking (augment DocumentField > dereferencing with a local cache), but that leaves the update problem. > -- > https://mail.python.org/mailman/listinfo/python-list -- https://mail.python.org/mailman/listinfo/python-list
