feat: performance improvement in GraphX CDLP#681
Merged
SemyonSinchenko merged 1 commit intographframes:masterfrom Sep 13, 2025
Merged
feat: performance improvement in GraphX CDLP#681SemyonSinchenko merged 1 commit intographframes:masterfrom
SemyonSinchenko merged 1 commit intographframes:masterfrom
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #681 +/- ##
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+ Coverage 82.74% 87.57% +4.83%
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Files 28 61 +33
Lines 1327 2688 +1361
Branches 159 290 +131
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+ Hits 1098 2354 +1256
- Misses 229 334 +105 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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james-willis
approved these changes
Sep 12, 2025
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What changes were proposed in this pull request?
Instead of merging mutable maps on each reduce step (that leads to the complexity$O(n^2)$ ) we can just concatenate vectors ( $O(n)$ overall) and do a groupby once ( $O(n)$ ). Memory usage will also decreased, because on the first iteration of the current implementation we have $O(2n)$ ). On my tests it is 70x performance boost and less memory consumption (see #360)
Map(vertex -> 1L)for all the vertices, but with a new implementation the peak memory usage isVectorof all vertices. Concatenations of vectors is (almost) constant, vectors required 5x less memory for the same amount of elements inside compared to Maps. And there is no need to create mutable Map on each step, concatenate all the keys and iterate (Why are the changes needed?
Potentially resolve #360