Thanks, that "handled" my problem nicely.

Now I have a new problem, though: I'm building a file parser and I wanted to implement fairly granular multithreading by offloading individual file jobs to the worker threads. I had hoped that while one thread was waiting for a file to be read in, another would be able to parse a file that was already loaded.

I guess that multithreading isn't the solution because the parse of my file tree used to take ~200 seconds, and with 4 worker threads, it now takes ~690 seconds. Perhaps multiprocessing would work better. I know that the process isn't disk limited because the CPU useage for the parsing process sits at ~100%.

This leads to the next question: Is there a multi-processing equivalent to Thread::Pool::Simple, which encapsulates IPC? Or do I need to setup my own process pool manager with unix pipes/tcp streams? Perhaps this could take advantage of the multi-processor machine that this is running on (2x opteron 252).

Thanks,
Annirak

In reply to Re^2: Thread local variables in Thread::Pool::Simple by Annirak
in thread Thread local variables in Thread::Pool::Simple by Annirak

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