profiterole: Restructure GHC profile reports
Given a GHC profile output, this tool generates alternative views on the data, which are typically more concise and may reveal new insights.
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- profiterole-0.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)
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| Versions [RSS] | 0.1 |
|---|---|
| Change log | CHANGES.txt |
| Dependencies | base (>=4.6 && <5), containers, directory, extra, filepath, ghc-prof, hashable, scientific, text [details] |
| License | BSD-3-Clause |
| Copyright | Neil Mitchell 2017 |
| Author | Neil Mitchell <ndmitchell@gmail.com> |
| Maintainer | Neil Mitchell <ndmitchell@gmail.com> |
| Category | Development |
| Home page | https://github.com/ndmitchell/profiterole#readme |
| Bug tracker | https://github.com/ndmitchell/profiterole/issues |
| Source repo | head: git clone https://github.com/ndmitchell/profiterole.git |
| Uploaded | by NeilMitchell at 2017-06-02T21:25:09Z |
| Distributions | NixOS:0.1 |
| Reverse Dependencies | 1 direct, 0 indirect [details] |
| Executables | profiterole |
| Downloads | 1471 total (7 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
| Your Rating | |
| Status | Docs not available [build log] Last success reported on 2017-06-02 [all 3 reports] |
Readme for profiterole-0.1
[back to package description]Profiterole 
Script for reading and restructring a GHC profile script.
The Goal
Given profile data, different ways of looking at it reveal different insights. This tool provides one of those insights - in addition to reading the standard profile output and using other tools such as Profiteur.
Profiterole aims to make the profile shorter by combining common subtrees and lifting them to the root - e.g. if you call parseFile from 7 places in the code, instead of having 7 pieces of parseFile profiling, Profiterole will give you one.
As an example compare HLint profile input to HLint Profiterole output.
Usage
To run, first install (cabal update && cabal install profiterole), generate a GHC profile the normal way, then run:
profiterole myprogram.prof
Profiterole will generate myprogram.profiterole.txt and myprogram.profiterole.html - both contain the same information, but the HTML has hyperlinks. There are three columns of numbers:
TOTis the total time spent in any item under this code, what GHC calls inherited time.INHis the total time spent in the items that Profiterole did not move out to the top level.INDis the individual time, just like GHC profiles.
For large programs, using +RTS -P (instead of the common -p) will give more accurate results.