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An empirical study of group-by strategies in Julia | Codementor
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Julia can be faster than data.table in some group-by operations! This post details a number of strategies employed to try and optimize Julia group-by performance.
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Keywords {๐}
data, julia, datatable, array, groupby, radixsort, algorithm, faster, years, time, code, sumby, performance, algorithms, seconds, sort, method, ago, string, source, function, vector, end, group, show, gpl, type, found, inbounds, performant, sorted, hash, machine, columns, timings, groups, case, dict, elements, sum, res, julias, closed, radixgroup, types, multithreaded, work, number, implemented, benchmark,
Topics {โ๏ธ}
reverse-engineering closed-source software mit/bsd-licensed code based multi-threaded radixsort method multi-column group-bys chris' comment pointed tables pre-indexed group machine learning developer multi-threaded code multi-threaded version team lead level radixsort-based methods data manipulation platform closed source software mutually-exclusive subarrays real life settings laptop/desktop computers enable simd instructions high-level understanding high-level explanation data related projects data jointly accessible initial investigation r' /xiaodaigh/fbdbbfd32062e33a20b1895af24e1542 focus arbitrary zipped types novice julia coder wholeheartedly recommend julia requires prior knowledge newly created array array achieving parallelism effectively โclosed sourceโ efficient data structure point worth mentioning require prior knowledge large input size biggest performance gap statsbase import statsbase richer data ecosystem machine learning generic groupby function sorting implies grouping radix sort method actively store metadata counting sort works lightning fast performance default sorting algorithm passing cache=true pooledarrays import pooledarrays categoricalarray/pooledarray columns data scientist achieve peak performance
Questions {โ}
- But its code is GPL, right?
- Enjoy this post?
- Is inlining the iterator via the @iter macro still required to get the full efficiency out?
- So your conclusion is that itโs faster to first sort the data using radix sort, and only compute the group sums in a second step, rather than accumulating the sums on the fly?
- Table eventually for performance?
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dateCreated:2017-10-28T00:10:13.000Z
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External Links {๐}(7)
- What are the total earnings of https://gist.github.com/xiaodaigh/fbdbbfd32062e33a20b1895af24e1542?
- How much income does https://github.com/xiaodaigh/FastGroupBy.jl have?
- What's the total monthly financial gain of https://stackoverflow.com/questions/47235390/how-can-i-parallelize-sorting?
- How much revenue does https://github.com/Rdatatable/data.table/issues/2458 bring in?
- How much money does https://github.com/JuliaCollections/IterTools.jl#the-itr-macro-for-automatic-inlining-in-for-loops make?
- How much does https://docs.julialang.org/en/latest/manual/parallel-computing#man-shared-arrays-1 pull in monthly?
- Check the income stats for https://github.com/Rdatatable/data.table/pull/2456
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