Instrumentalize code to measure latency and QPS (and save results)#2266
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cadurosar wants to merge 1 commit intocastorini:masterfrom
Open
Instrumentalize code to measure latency and QPS (and save results)#2266cadurosar wants to merge 1 commit intocastorini:masterfrom
cadurosar wants to merge 1 commit intocastorini:masterfrom
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Codecov ReportAttention:
Additional details and impacted files@@ Coverage Diff @@
## master #2266 +/- ##
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- Coverage 61.67% 61.45% -0.23%
Complexity 1244 1244
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Files 196 196
Lines 11554 11601 +47
Branches 1490 1494 +4
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+ Hits 7126 7129 +3
- Misses 3889 3931 +42
- Partials 539 541 +2 ☔ View full report in Codecov by Sentry. |
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Hi @cadurosar, thanks for the PR, this is very neat. |
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| @Option(name = "-instrumentalize", usage = "Add instrumentation to better report latency and QPS") | ||
| public boolean instrumentalize = false; | ||
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Here’s a pull request to add instrumentation to anserini and try to make latency/qps measuring standardized and a part of the retrieval. It basically stores the retrieval latencies and then computes average, median and p99 latency and stores in a file. Note that these are “best effort” latencies as you get the result before it is pretreated by Lucene in order to make it readable, but they are not exactly the server latency (imagine a server running Lucene and you are outside of it, it would be the latency including packet traffic but not result parsing).
Testing with arguana based on: https://github.com/cadurosar/anserini/blob/instrumentalize/docs/regressions/regressions-beir-v1.0.0-arguana-splade-distil-cocodenser-medium.md:
Without instrumentation:
Only information on QPS, need to read logs to get it.
With instrumentation:
Has latency information and creates a file which is the run name + _Efficiency. On this example "runs/run.beir-v1.0.0-arguana-splade_distil_cocodenser_medium.splade_distil_cocodenser_medium.topics.beir-v1.0.0-arguana.test.splade_distil_cocodenser_medium.txt_Efficiency"
This is just a first version, tell me what you think @lintool @ArthurChen189