Re: [GSOC] Blog about weeks 4, 5
Abhishek Kumar <abhishekkumar8222@gmail.com> writes:
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> Hello everyone!
>
> Over the last two weeks, I have worked on refining the performance
> report on generation numbers. Here are our conclusions:
>
> - Corrected Commit Dates With Monotonically Offset (i.e. generation
> number v5) performs better than topological levels but is still walks
> too many commits when compared with Corrected Commit Dates.
Thank you for your work examining different approaches to introducing generation number v2.
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> Number of commits walked (git merge-base v4.8 v4.9, on linux repository):
>
> Topological Level : 635579
> Corrected Commit Date : 167468
> Corrected Commit Date With Monotonic Offset: 506577
It is a bit strange that requiring monotonic offsets leads to so much of a difference in performance (in commits walked).
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>
> As such, I am expecting that we will store Corrected Commit Date in an
> additional chunk (called "generation data chunk") and store topological
> levels into CDAT. Thus, old Git clients can operate as expected, with
> new Git clients using the better generation number.
>
> - Using a new chunk does affect the locality of reference but did not
> impact the performance appreciably.
> - This does increase the size of commit graph file by nearly 5%.
All right, it seems like it is the way to go.
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> You can read more in my report [1] and the pull request with
> instructions to replicate the results [2].
>
> [1]: https://lore.kernel.org/git/20200703082842.GA28027@Abhishek-Arch/T/#mda33f6e13873df55901768e8fd6d774282002146
> [2]: https://github.com/abhishekkumar2718/git/pull/1
>
> I talk a bit more about a patch I worked on, trying to improve
> performance of commit graph write using buffers which ultimately did not
> work and is dropped. Up next is actually implementing the generation
> number and take care of all little details.
>
> https://abhishekkumar2718.github.io/programming/2020/07/05/gsoc-weeks-4-5.html
>
> Feedback and suggestions welcome!
Some comments about the blog entry contents:
AK> Dr. Stolee pointed out ... [to] use the number of commits as a AK> metric instead of wall clock timing (which can be influenced by other AK> factors like CPU usage at the time).
There are a few factors. If we compare similar algorithms, that might be a good decision.
First, one can try to reduce the influence of random factors on the wall clock timing by using statistics. For example one can try to detect and remove outliers by using robust statistics measures to detect them, like tools like for example Dumbbench [3], hyperfine [4] or bench [5]. After warmup, one approach is to compute the robust estimate of value, e.g. median, and robust estimate of dispersion, e.g. MAD = median absolute deviation, and use those to detect outliers, e.g. rescale MAD and mark as outlier and remove entries that are more than "three sigma" of robust dispersion away from robust estimate of value. Dumbbench [3] has good explanation.
[3]: https://metacpan.org/pod/Dumbbench#HOW-IT-WORKS-AND-WHY-IT-DOESN'T [4]: https://github.com/sharkdp/hyperfine [5]: https://github.com/Gabriel439/bench
Second, because of pecularities of current processor architecture (caches, data prefetching, branch prediction) performing more operations might in admittedly rare cases be faster than doing less operations. One such example can be found in the CppCon 2019 talk by Andrei Alexandrescu "Speed Is Found In The Minds of People" [6][7] about 'small sort', where doing more operations results in, on average, faster sort. This of course has a possibility to happen only if difference with the number of operations is small enough... nevertheless it might be a good idea to at least check that the wall clock time agrees with conclusions from the number of commits walked, for at least a few examples.
[6]: https://www.youtube.com/watch?v=FJJTYQYB1JQ [7]: https://github.com/CppCon/CppCon2019/blob/master/Presentations/speed_is_found_in_the_minds_of_people/speed_is_found_in_the_minds_of_people__andrei_alexandrescu__cppcon_2019.pdf
AK> With the second report, storing corrected commit date in GDAT as AK> well as computing topological levels seems like a no-brainer. I have AK> started working on the patch and will push to the mailing list after AK> some discussion on the report.
Do you have any numbers how much does providing backward compatibility cost at `git commit-graph write`, that is how much more time it takes to computer topological levels during computation of corrected committerdate compared to storing GENERATION_NUMBER_MAX in place of topological level, and whether having topological level (as tie-breaker) helps with Git performance when using commit-graphh for querying? Does having topological levels as tie-breaker or secondary negative-cut reachability index helps at all?
Thank you for your work and for the report.
P.S. Would it be possible to put GSoC entries into separate 'GSoC' category instead of generic 'Programming' one, or add a 'GSoC' tag?
Best, -- Jakub Narębski
Abhishek Kumar