oh , I wrote two different code implements the same function in python server and java I tested the two code to check which perform well
2011/1/24 Bryan Duxbury <[email protected]> > How did you replace a Thrift server with Tomcat? > > On Mon, Jan 24, 2011 at 7:03 AM, dean forever <[email protected] > >wrote: > > > thanks , Dvir! > > finally ,by testing the server, I found the server didnot perform > well.Only > > 10% CPU usage,comparing to 100% CPU usage of Java Tomcat > > I think i need to find a better server program instead of the thrift > > default > > server. > > > > > > 2011/1/21 Dvir Volk <[email protected]> > > > > > I don't know about the compact transport, but just a python server tip > - > > > use TBinaryProtocolAccelerated, handles serialization with C code which > > > makes it faster. > > > Also, try not to have more jmeter threads than max threads on the > server. > > > I'm currently testing thrift with jmeter via a PHP proxy rest server, > but > > > these tips should apply when testing directly with java, I guess. > > > > > > On Fri, Jan 21, 2011 at 7:23 AM, dean forever < > > [email protected] > > > >wrote: > > > > > > > When I use the default example settings for java client and python > > > server( > > > > like tutorial shows) to do Jmeter Tests,lots of errors such as > > > > "TTransportException: Socket already connected" "'Connection reset > by > > > > peer" > > > > "Broken pipe" > > > > happened > > > > > > > > when i try TFramedTransport TCompactProtocol in java, it's all right > > > > > > > > in python when I use TFramedTransport ,it shows that no listen and > > > accept > > > > method in it.When I added them by > > > > def listen(self): > > > > return self.__trans.listen() > > > > > > > > the python server can run normally > > > > > > > > > > > > but when I start Java Client to request, the python server show lots > of > > > > NameError in TCompactProtocol.py > > > > > > > > Anyone has a better solution to this combine???Please help me find a > > > best > > > > solution for java Client and python Server maintaining > > > > high concurrents > > > > > > > > > >
