I wasn’t really having any problems with it, I was more wondering whether
any of you had had any experience with it.
Considering it’s from 2001-2002, has a rather ugly import (with non-PEP08
names) spread across two top-level modules (for client and server) and
contains the word “XML”, I can understand how a first impression might have
gotten spoiled.
But it looks and works great.
It also supports batched calls; as in gathering up any number of RPC and
sending them through a single request. I wish I came across this ages ago.
:O
Some tests, with a single provider and consumer. Not fair, probably, it
should probably use multiple consumers to show a difference here, but
singles is all I’m looking for personally.
*Synchronous 1600/sec*
from SimpleXMLRPCServer import SimpleXMLRPCServerimport SocketServer
def null():
return True
server = SimpleXMLRPCServer(("0.0.0.0", 80), logRequests=False)
server.register_function(null)
server.serve_forever()
*Threaded 1222/sec*
from SimpleXMLRPCServer import SimpleXMLRPCServerimport SocketServer
def null():
return True
class ThreadedServer(SocketServer.ThreadingMixIn, SimpleXMLRPCServer):
pass
server = ThreadedServer(("0.0.0.0", 80), logRequests=False)
server.register_function(null)
server.serve_forever()
*Forked 380/sec*
from SimpleXMLRPCServer import SimpleXMLRPCServerimport SocketServer
def null():
return True
class ForkingServer(SocketServer.ForkingMixIn, SimpleXMLRPCServer):
pass
server = ForkingServer(("0.0.0.0", 80), logRequests=False)
server.register_function(null)
server.serve_forever()
*Test*
$ python -m timeit "import xmlrpclib;p =
xmlrpclib.ServerProxy('http://192.168.131.153:8000');print p;[p.null()
for x in xrange(100)]"
On 20 May 2015 at 21:50, Justin Israel <[email protected]> wrote:
> Awesome. I only glanced at the standard library implementation, and it
> seemed pretty basic. So if it gets you the performance you are after, then
> that solves a problem.
>
> On Thu, May 21, 2015 at 8:33 AM Marcus Ottosson <[email protected]>
> wrote:
>
>> Thanks Justin.
>>
>> It does actually support concurrent responses, both threaded and forked,
>> so I wouldn't be surprised if it could scale quite a bit as-is.
>>
>> On my machine, it handles around 1600 (synchronous) requests/second.
>>
>> Out of curiosity, I'll have a quick look to see what threading or forking
>> can do about it. Alternatively, I also found this
>> <http://sourceforge.net/projects/py-xmlrpc/>, but the main attraction to
>> me is standard library inclusion.
>>
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*Marcus Ottosson*
[email protected]
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