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@seqbenchbot up 0-seqbench search-keyword-exact-match |
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@seqbenchbot down 0ac06048 |
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up main search-keyword-exact-match |
Codecov Report❌ Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## main #315 +/- ##
==========================================
+ Coverage 71.59% 71.62% +0.03%
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Files 204 204
Lines 14769 14767 -2
==========================================
+ Hits 10574 10577 +3
+ Misses 3441 3438 -3
+ Partials 754 752 -2 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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@seqbenchbot down 6923290d |
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🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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@seqbenchbot up main search-keyword-exact-match-cold |
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@seqbenchbot up 0-decoded-rids search-keyword-exact-match-cold |
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@seqbenchbot down f0cc0fb8 |
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-decoded-rids search-keyword-exact-match-cold |
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@seqbenchbot down 756615b7 |
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-decoded-rids search-keyword-exact-match |
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@seqbenchbot down 3f3f05e0 |
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up main search-keyword-exact-match |
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@seqbenchbot down 684bf7c4 |
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Nice, @dkharms Your request was successfully served. Have a great time! |
7b15131 to
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🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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Description
We store in the cache decompressed (but not decoded) RIDs as
[]byteand on each access to RID block we decode it usingbinary.LittleEndian.Uint64function. This PR changes behaviour to store already decoded RIDs in the cache.There is no memory usage penalty since we just move integers from one representation (
[]byte) to another ([]uint64) without introducing new structures etc.If you have used LLM/AI assistance please provide model name and full prompt: