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Henrique Mendonça commented on THRIFT-2379: ------------------------------------------- Can you paste your code again on pastebin or similar? and please indicate how you are catching the memory leak. The processor and handler classes should be stateless, so you don't need to worry about this kind of thread safety problems, i.e. no member variables there. This probably more a question of re-thinking your solution for a multithreaded environment and not really related to the Thrift implementation. > Memmory leaking while using multithreading in C++ server. > --------------------------------------------------------- > > Key: THRIFT-2379 > URL: https://issues.apache.org/jira/browse/THRIFT-2379 > Project: Thrift > Issue Type: Question > Components: C++ - Library > Affects Versions: 0.9.1 > Environment: Linux Ubuntu 12.10 x64 > Reporter: Nikita Vdovushkin > Labels: performance > > I have a problem, with memory leakin in apache thrift, I tried to ask at IRC > yesterday, but that didn't help. > I'm using Apache Thrift framework, I'm writing a application, that has server > on C++ and python client. The application has big resources object, that are > using during the life. My application need to have a reload method, that > should delete all resources, and load new instances from the disk. I wrote > the cleannig method, and calling it before reload method. That's work, if I > use TSimpleServer. But when I'm starting to use ThreadedServer or > TNonBlocking server. Cleannig method doesn't work, as I can see, It's calling > but it doesn't cleans . Server just starting to use twice amount of memmory. > I tried to use a mutex during cleaning method, but that didn't help. > I think th matter is multithreading, other method doesn't allow to release > old resources, but I'm not shure. > I wrote example code that has the same issue, and it's quite clear for > understaing, I think. > Code example: > http://pastebin.com/qW8Ab1xQ > Full code availble in zip archive: > https://docs.google.com/file/d/0B73BxCSXgnuzbXlncllSU0NDQkE/edit -- This message was sent by Atlassian JIRA (v6.1.5#6160)