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authorTill <2353100+S7evinK@users.noreply.github.com>2024-01-20 22:26:57 +0100
committerGitHub <noreply@github.com>2024-01-20 22:26:57 +0100
commit8e4dc6b4ae2e6b1ac8f62da2ba72deb282fb89b0 (patch)
treea773b33a55eb07063aeb7cec416a5ffd451ecede /relayapi/routing/routing.go
parentd357615452893cf3440d9dbdf998a2654c439d33 (diff)
Optimize `PrevEventIDs` when getting thousands of backwards extremeties (#3308)
Changes how many `PrevEventIDs` we send to other servers when backfilling, capped to 100 events. Unsure about how representative this benchmark is.. ``` goos: linux goarch: amd64 pkg: github.com/matrix-org/dendrite/roomserver/api cpu: Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz │ old.txt │ new.txt │ │ sec/op │ sec/op vs base │ PrevEventIDs/Original1-8 264.9n ± 5% 237.4n ± 7% -10.36% (p=0.000 n=10) PrevEventIDs/Original10-8 3.101µ ± 4% 1.590µ ± 2% -48.72% (p=0.000 n=10) PrevEventIDs/Original100-8 44.32µ ± 2% 12.80µ ± 4% -71.11% (p=0.000 n=10) PrevEventIDs/Original500-8 263.835µ ± 4% 7.907µ ± 4% -97.00% (p=0.000 n=10) PrevEventIDs/Original1000-8 578.798µ ± 2% 7.620µ ± 2% -98.68% (p=0.000 n=10) PrevEventIDs/Original2000-8 1272.039µ ± 2% 8.241µ ± 9% -99.35% (p=0.000 n=10) geomean 43.81µ 3.659µ -91.65% │ old.txt │ new.txt │ │ B/op │ B/op vs base │ PrevEventIDs/Original1-8 72.00 ± 0% 48.00 ± 0% -33.33% (p=0.000 n=10) PrevEventIDs/Original10-8 1512.0 ± 0% 500.0 ± 0% -66.93% (p=0.000 n=10) PrevEventIDs/Original100-8 11.977Ki ± 0% 7.023Ki ± 0% -41.36% (p=0.000 n=10) PrevEventIDs/Original500-8 67.227Ki ± 0% 7.023Ki ± 0% -89.55% (p=0.000 n=10) PrevEventIDs/Original1000-8 163.227Ki ± 0% 7.023Ki ± 0% -95.70% (p=0.000 n=10) PrevEventIDs/Original2000-8 347.227Ki ± 0% 7.023Ki ± 0% -97.98% (p=0.000 n=10) geomean 12.96Ki 1.954Ki -84.92% │ old.txt │ new.txt │ │ allocs/op │ allocs/op vs base │ PrevEventIDs/Original1-8 2.000 ± 0% 1.000 ± 0% -50.00% (p=0.000 n=10) PrevEventIDs/Original10-8 6.000 ± 0% 2.000 ± 0% -66.67% (p=0.000 n=10) PrevEventIDs/Original100-8 9.000 ± 0% 3.000 ± 0% -66.67% (p=0.000 n=10) PrevEventIDs/Original500-8 12.000 ± 0% 3.000 ± 0% -75.00% (p=0.000 n=10) PrevEventIDs/Original1000-8 14.000 ± 0% 3.000 ± 0% -78.57% (p=0.000 n=10) PrevEventIDs/Original2000-8 16.000 ± 0% 3.000 ± 0% -81.25% (p=0.000 n=10) geomean 8.137 2.335 -71.31% ```
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