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https://issues.apache.org/jira/browse/THRIFT-1848?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13617941#comment-13617941
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Jake Farrell commented on THRIFT-1848:
--------------------------------------
Thanks for the patch Piotr, there is a Makefile that was included in the patch
that will need to be removed and with the changes to TNonblockingServer will
need tested throughly (would be nice to have unit test in py lib)
> Python asynchronous server
> --------------------------
>
> Key: THRIFT-1848
> URL: https://issues.apache.org/jira/browse/THRIFT-1848
> Project: Thrift
> Issue Type: New Feature
> Components: Python - Compiler, Python - Library
> Affects Versions: 1.0, 1.1, 1.2
> Reporter: Piotr Nowojski
> Attachments: thrift-1848-python-async-server.patch
>
>
> As far as I know, there is no support in python for anything else, then
> blocking communication/non-blocking/twisted. Non-blocking is not
> asynchronous and we definitely don't want to use twisted. I'm really
> interested in adding support for onCompleted/onError callbacks model.
> After small research, I've found couple of discussions/complains about
> missing such functionality.
> The main idea is to allow users (for example my project in my company...) to
> create single threaded thrift servers, with one thread processing all thrift
> requests AND user created events. Support for custom events (and events loop)
> is done, by adding support for "step()" method in WorkerAsync(), which is
> being
> called at least once a given timeout. Example code is in the tutorial
> py.async.
> I have added "sleep(duration)" command to the py.async PythonServer which is
> being invoked on PythonClient, which sleeps for given number of seconds (1.5
> in PythonClient).
> console1: ./PythonServer.py
> console2: for i in {1..100}; do ./PythonClient.py & done
> Second console will complete within ~2 seconds with only one thread on the
> server. On TSimpleServer, TNonblockingServer or TThreadPoolServer with about
> 10 threads, it would take much more time to complete.
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