Hi Richard, Consider using NDB, and its coroutine-based parallelism. It's pretty much exactly built for this situation: if you have multiple coroutines, each one will be run until it attempts to wait on an RPC (such as a datastore or memcache operation), then the requests will all be automatically batched together and executed as efficiently as possible. Thus, you get the benefits of get_multi, without the complexity of restructuring your code for it.
-Nick Johnson On Wed, Nov 23, 2011 at 7:18 AM, Richard Arrano <rickarr...@gmail.com>wrote: > Hello, > Quick question regarding multithreading in Python 2.7: > I have some requests that call 2-3 functions that call the memcache in > each function. It would be possible but quite complicated to just use > get_multi, and I was wondering if I could simply put each function > into a thread and run the 2-3 threads to achieve some parallelism. > Would this work or am I misunderstood about what we can and cannot do > with regards to multithreading in 2.7? > > Thanks, > Richard > > -- > You received this message because you are subscribed to the Google Groups > "Google App Engine" group. > To post to this group, send email to google-appengine@googlegroups.com. > To unsubscribe from this group, send email to > google-appengine+unsubscr...@googlegroups.com. > For more options, visit this group at > http://groups.google.com/group/google-appengine?hl=en. > > -- Nick Johnson, Developer Programs Engineer, App Engine -- You received this message because you are subscribed to the Google Groups "Google App Engine" group. To post to this group, send email to google-appengine@googlegroups.com. To unsubscribe from this group, send email to google-appengine+unsubscr...@googlegroups.com. For more options, visit this group at http://groups.google.com/group/google-appengine?hl=en.
