| commit | e13eb84a023012b1f045b2768b17cc1becbd849e | [log] [tgz] |
|---|---|---|
| author | Jonathan Amsterdam <jba@google.com> | Sat Sep 11 06:25:10 2021 -0400 |
| committer | Jonathan Amsterdam <jba@google.com> | Mon Sep 13 14:54:04 2021 +0000 |
| tree | df972013954056f8beef6701429f6096abaad56f | |
| parent | 148400792752015a69c2dfed94b20b19741b8559 [diff] |
internal/worker: load shed based on DB lock contention If many DB processes are waiting for locks, shed load. This is in addition to the existing load-shedding rule based on zip size. I conducted an informal experiment to see how this worked. I queued up 82 versions of github.com/aws/aws-sdk-go for processing. That module has a small zip, so no shedding occurs because of zip size, but it takes some time to process. Without lock-based load-shedding, there were 157 "max serialization" errors. Most of the time there were many active fetches in progress, almost all waiting for locks. With lock-based load-shedding, there were only 48 "max serialization" errors. Most fetches completed quickly. For golang/go#48010 Change-Id: I0cee02b9c4085a8bc187d803eaca2f30ddd378b5 Reviewed-on: https://go-review.googlesource.com/c/pkgsite/+/349312 Trust: Jonathan Amsterdam <jba@google.com> Run-TryBot: Jonathan Amsterdam <jba@google.com> Reviewed-by: Jamal Carvalho <jamal@golang.org> Reviewed-by: Julie Qiu <julie@golang.org>
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