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| Date | Sat, 01 Sep 2012 07:18:03 -1000 |
| From | Werner Thie <werner@thieprojects.ch> |
| Organization | Thie & Co Projects |
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| Subject | Re: Async client for PostgreSQL? |
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On 8/31/12 7:17 PM, Laszlo Nagy wrote: > Is there any extension for Python that can do async I/O for PostgreSQL > with tornadoweb's ioloop? > > Something like: > > class MainHandler(tornado.web.RequestHandler): > @tornado.web.asynchronous > def get(self): > pg_connection.(long_taking_query_sql,params,callback=self.on_query_opened) > > def on_query_opened(self, query): > self.write(process_rows(query)) > self.finish() > > > > What would be an alternative? > > The theoretical problem: suppose there are 100 clients (web browsers) > connected to the server with keep alive connections. They are doing > long-polls and they are also sending/receiving events (with short > response times). Each web browser has an associated state stored on the > server side, in the memory (as an object tree). The state is bound to > the client with a session id. Most requests will have to be responded > with small amounts of data, calculated from the session state, or > queried from the database. Most database queries are simple, running for > about 100msec. But a few of them will run for 1sec or more. Number of > requests ending in database queries is relatively low (10/sec). Other > requests can be responded must faster. but they are much more frequent > (100/sec, that is. 1 request/sec/client). There is a big global cache > full of (Python) objects. Their purpose is to reduce the number of > database queries. These objects in the global cache are emitting events > to other objects found in the client sessions. Generally, it is not > possible to tell what request will end in a database query. > > Multi-threading is not an option because number of clients is too high > (running 100 threads is not good). This is why I decided to use anyc > I/O. Tornadoweb looks good for most requirements: async i/o, store > session state in objects etc. The biggest problem is that psycopg is not > compatible with this model. If I use blocking I/O calls inside a request > handler, then they will block all other requests most of the time, > resulting in slow response times. > > What would be a good solution for this? > > Thanks, > > Laszlo > Hi does running on tornado imply that you would not consider twisted http://twistedmatrix.com ? If not, twisted has exactly this capability hiding long running queries on whatever db's behind deferToThread(). Brute force I would pack the db access into a twisted run web-service, forking work out in twisted either with deferToThread() or if you want to take advantage of using processes instead of threads thus being able to tap all cores, then have a look at ampoule at https://launchpad.net/ampoule - be aware though that ampoule has a 64k limit on what can be passed around. Werner
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Re: Async client for PostgreSQL? Werner Thie <werner@thieprojects.ch> - 2012-09-01 07:18 -1000
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