[Haskell-cafe] ANN: timeplot-0.3.0 - the analyst's swiss army knife for visualizing ad-hoc log files

[Eric Rasmussen]

Hi Eugene,

This is a great tool. I often have to analyze data from multiple sources, so
I usually create a SQLite database to store it all and start running
queries. I just tested it in the form:

$ echo 'SELECT...' | sqlite3 database.db | tplot <options>

And for more complicated queries outputting the results to file then reading
it in with tplot. Both worked great.

Thanks,
Eric



On Sun, May 1, 2011 at 12:14 PM, Eugene Kirpichov <ekirpichov at gmail.com>wrote:

> Hello,
>
> Sorry for the broken link: the correct link to the presentation is:
>
> http://jkff.info/presentations/two-visualization-tools.pdf
>
> 2011/4/30 Eugene Kirpichov <ekirpichov at gmail.com>:
> >  Hello fellow haskellers,
> >
> > I announce the release of timeplot-0.3.0, the "analyst's swiss army
> > knife for visualizing ad-hoc log files".
> >
> > Links:
> >  * http://jkff.info/presentation/two-visualization-tools - a
> > presentation saying what the tools are all about and giving plenty of
> > graphical examples on cluster computing use cases. At the end of the
> > presentation there's also a couple of slides about installation. It is
> > a little bit outdated, it corresponds to versions just before 0.3.0.
> >  * http://hackage.haskell.org/package/timeplot
> >  * http://github.com/jkff/timeplot
> >  * The sibling tool, splot - for visualizing the activity of many
> > concurrent processes - http://hackage.haskell.org/package/splot and
> > http://github.com/jkff/splot . It has also gotten a couple of new
> > features since my last announcement.
> >
> > The major new feature of tplot is the introduction of subplots, the
> > <<'within' plots>>.
> > It allows one to plot data from several sub-tracks on one track of the
> graph:
> >  - several line- or dot-plots
> >  - several plots of sums or cumulative sums, perhaps stacked (to see
> > how the sub-tracks contribute to the total sum - e.g. if your log
> > speaks about different types of overhead and you wish to see how they
> > contribute to the total)
> >  - stacked "activity count" plot - a generalization of the previous
> > "activity count" plot, which allows you to, given a log saying like
> > "Machine started servicing job JOB1 ... Machine finished servicing job
> > JOB1" etc, plot how many machines are servicing each job at any
> > moment, in a stacked fashion - so, how loads by different jobs
> > contribute to the whole cluster's load. The "activity frequency" plot
> > plots the same on a relative scale.
> >
> > The syntax is, for example: "within[.] dots" or "within[.] acount" or
> > even "within[.] duration cumsum stacked" etc.
> >
> > Note that these are of course just example use cases and the tool is
> > universal, it is not in any sense specialized to clusters, jobs,
> > overheads or actually even to logs.
> > I'd like to encourage you to give it a try and look around for a use case
> :)
> >
> > If you do give the tool a try, please tell me if something goes wrong,
> > be it an installation problem or a bug (the version is fresh released,
> > so this is quite possible).
> >
> > --
> > Eugene Kirpichov
> > Principal Engineer, Mirantis Inc. http://www.mirantis.com/
> > Editor, http://fprog.ru/
> >
>
>
>
> --
> Eugene Kirpichov
> Principal Engineer, Mirantis Inc. http://www.mirantis.com/
> Editor, http://fprog.ru/
>
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