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Analyzing the CPU profile of
go test -timeout=0 -count=5 -cpuprofile profile.out -bench=BenchmarkPerfScheduling/.*Claim.* -benchtime=1ns -run=xxx ./test/integration/scheduler_perf
showed that a significant amount of time was spent iterating over allocated
claims to determine how many were allocated per node. That "naive" approach was
taken to avoid maintaining a redundant data structure, but now that performance
measurements show that this comes at a cost, it's not "premature optimization"
anymore to introduce such a second field.
The average scheduling throughput in
SchedulingWithResourceClaimTemplate/2000pods_100nodes increases from 16.4
pods/s to 19.2 pods/s.