Groups | Search | Server Info | Keyboard shortcuts | Login | Register [http] [https] [nntp] [nntps]


Groups > comp.lang.python > #68340 > unrolled thread

asyncio question

Started by"Joseph L. Casale" <jcasale@activenetwerx.com>
First post2014-03-13 21:24 +0000
Last post2014-03-13 21:24 +0000
Articles 1 — 1 participant

Back to article view | Back to comp.lang.python


Contents

  asyncio question "Joseph L. Casale" <jcasale@activenetwerx.com> - 2014-03-13 21:24 +0000

#68340 — asyncio question

From"Joseph L. Casale" <jcasale@activenetwerx.com>
Date2014-03-13 21:24 +0000
Subjectasyncio question
Message-ID<mailman.8134.1394745940.18130.python-list@python.org>
I have a portion of code I need to speed up, there are 3 api calls to an external system
where the first enumerates a large collection of objects I then loop through and perform
two additional api calls each. The first call is instant, the second and third per object are
very slow. Currently after accumulating all the data I write the relevant data into a database.

I have the ability to hold all this in memory and dump it once fully accumulated, so performing
the second and third call in parallel with fixed batches would be great,

I took a look at coroutines and some skeleton code worked fine, but I am not sure how to
perform the acquisition in fixed groups like I might for example with multiprocessing and
a pool of workers.

Anyone done something like this or have an opinion?

Thanks,
jlc

[toc] | [standalone]


Back to top | Article view | comp.lang.python


csiph-web