Every workflow that builds the Rust volume server first installed protoc
from a package manager - twelve steps across apt, brew and choco. That is
37s per job on a good day, and this week archive.ubuntu.com stalled long
enough for four jobs to burn their whole timeout without reaching a build.
protoc-bin-vendored ships the compiler as a build-dependency, so it now
arrives through the cargo registry the workflows already cache and there
is nothing left to install. cargo build works on a machine with no protoc
at all, which is worth as much locally as it is in CI.
It also pins the version. The apt protoc on ubuntu-22.04 is 3.12, old
enough to reject proto3 optional, which is why build.rs passes
--experimental_allow_proto3_optional; the vendored one is 31.1. The flag
stays, since it costs nothing and keeps a build against an older PROTOC
working, and an explicit PROTOC still overrides the vendored binary for
packagers who supply their own.
* ci: add per-process memory sampler for perf jobs
Samples VmRSS once a second into a CSV and records peak VmHWM per process
on stop. Linux only; reads /proc/<pid>/status.
* ci: run perf benchmarks on the Rust volume server and report memory
Matrix the throughput and S3 jobs over go/rust volume servers, using a
standalone master (plus filer for S3) and swapping only the volume binary
so the two are directly comparable. Sample peak RSS in every job and surface
it per impl in the run summary.
* ci: harden mem sampler arg handling and peak fallback
Guard against missing args under set -u, and fall back to the max RSS
sampled when a process exits before VmHWM can be read.
* test: add self-contained S3 read/write load tool
Concurrent PUT/GET against the S3 gateway, reporting requests/sec,
transfer rate, and latency percentiles. Built on the aws-sdk-go-v2
client the S3 tests already use, so no extra benchmark binary is needed.
* ci: add performance workflow
Three parallel jobs: cpu/heap pprof of the server under write load,
native throughput via weed benchmark plus the Go micro-benchmarks, and
an S3 read/write benchmark against the gateway. Runs on push to master
and manual dispatch with tunable duration, object count, size, and
concurrency.
Chris LuandGitHub
