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@seqbenchbot up 0-reduce-variance search-keyword-exact-match |
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #325 +/- ##
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+ Coverage 71.55% 71.58% +0.02%
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Files 204 204
Lines 14769 14769
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+ Misses 3447 3442 -5
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@seqbenchbot down 679fd404 |
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@seqbenchbot up 0-reduce-variance search-keyword-exact-match |
🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-reduce-variance search-keyword-exact-match |
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-reduce-variance search-keyword-exact-match |
🔴 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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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-reduce-variance search-keyword-exact-match |
🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-reduce-variance mixed |
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Nice, @dkharms Your request was successfully served. Have a great time! |
🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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@seqbenchbot up 0-reduce-variance mixed |
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@seqbenchbot down feb52121 |
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Nice, @dkharms Your request was successfully served. Have a great time! |
🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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@seqbenchbot up 0-reduce-variance mixed |
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Nice, @dkharms Your request was successfully served. Have a great time! |
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@seqbenchbot up 0-reduce-variance mixed |
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🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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@seqbenchbot up 0-reduce-variance mixed |
🔴 Performance DegradationSome benchmarks have degraded compared to the previous run. Show table
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Description
Since Golang is a language with a garbage collection we end up with a non-deterministic memory usage (and therefore CPU usage). Here I will attempt to find
GOGC/GOMEMLIMITcombinations for different benchmarks which reduce standard deviation between measurements from baseline and comparison seq-db instances.So far, I think that for each scenario we will need different settings. But in overall
GOGC=30andGOMEMLIMIT=800MiBlook promising. We have almost identical CPU and memory usage for two different instances built against the same commit.If you have used LLM/AI assistance please provide model name and full prompt: