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GEODE-8230: run benchmarks in parallel with other CI jobs #5217
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onichols-pivotal
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onichols-pivotal:GEODE-8230-run-benchmarks-in-parallel-with-other-CI-jobs
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GEODE-8230: run benchmarks in parallel with other CI jobs #5217
onichols-pivotal
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apache:develop
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onichols-pivotal:GEODE-8230-run-benchmarks-in-parallel-with-other-CI-jobs
Jun 9, 2020
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…line jobs UnitTest and ApiChecker
onichols-pivotal
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jake-at-work
June 6, 2020 00:07
dickcav
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Let's try it and watch...
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That's one tall-tower of jobs. Can we add a benchmark tab at the top to allow looking at only those jobs.
mkevo
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* run benchmarks in parallel with other CI jobs * eliminate JDK11 flavors for deterministic already-required-in-PR-pipeline jobs UnitTest and ApiChecker * add Benchmarks tab (cherry picked from commit f65ea45)
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* run benchmarks in parallel with other CI jobs * eliminate JDK11 flavors for deterministic already-required-in-PR-pipeline jobs UnitTest and ApiChecker * add Benchmarks tab (cherry picked from commit f65ea45)
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* run benchmarks in parallel with other CI jobs * eliminate JDK11 flavors for deterministic job UnitTest * add Benchmarks tab (cherry picked from commit f65ea45)
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before, we ran Build, then all Test jobs in parallel (which takes ~5 hours), then all Benchmark jobs (which takes ~5 hours).
Presumably the benchmarks were run after all tests, on the premise that benchmarks are meaningless if the code is not correct. However, required PR checks now prevent incorrect code from getting into develop in the first place, and the remaining occasional failures are flaky, so it's rather arbitrary to gate benchmarks on a lottery.
However, faster feedback has clear benefits, hence this PR to cut our CI pipeline from 10 hours to 5 hours.
Also eliminates redundant jobs (ApiCheck and UnitTest are deterministic and already have required JDK11 flavors in the PR pipeline, so JDK8 flavor only is more than sufficient in the develop pipeline)
Also decreases benchmarks max_in_flight from 3 to 2, since now that we have support branches, we don't want to max our quota just from develop. Some sort of global "pool" resource might be a more elegant way to manage this resource quota across pipelines.