Difference between revisions of "How to profile a Haskell program"
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== Setting things up == |
== Setting things up == |
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+ | === Enable profiling on libraries === |
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cd polyparse |
cd polyparse |
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runhaskell Setup.hs configure --enable-library-profiling |
runhaskell Setup.hs configure --enable-library-profiling |
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runhaskell Setup.hs configure --enable-library-profiling |
runhaskell Setup.hs configure --enable-library-profiling |
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runhaskell Setup.hs build |
runhaskell Setup.hs build |
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− | sudo runhaskell Setup.hs install |
+ | sudo runhaskell Setup.hs install |
+ | |||
+ | === Enable profiling on your stuff === |
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+ | |||
+ | Note that I assume you are using Cabal. If not, see [[How to write a Haskell program]]. It's super easy, and you'll be happy you did it. |
Revision as of 11:57, 20 March 2007
- Just jotting down my notes whilst profiling one of my helper scripts. It would be great if the community could transform this into a tutorial
The case study
I have a script that converts from an XML format to some pickled data structures via Data.Binary. The XML part is generated by HaXml's DtdToHaskell. On a 54M XML file, the thing swaps like crazy and takes several hours. I would like to improve the situation.
Setting things up
Enable profiling on libraries
For example, my script uses HaXmL, which uses a library called polyparse:
cd polyparse runhaskell Setup.hs configure --enable-library-profiling runhaskell Setup.hs build sudo runhaskell Setup.hs install cd ..
cd HaXml runhaskell Setup.hs configure --enable-library-profiling runhaskell Setup.hs build sudo runhaskell Setup.hs install
Enable profiling on your stuff
Note that I assume you are using Cabal. If not, see How to write a Haskell program. It's super easy, and you'll be happy you did it.