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vendor/k8s.io/kubernetes/test/integration/scheduler_perf/README.md
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vendor/k8s.io/kubernetes/test/integration/scheduler_perf/README.md
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Scheduler Performance Test
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======
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Motivation
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------
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We already have a performance testing system -- Kubemark. However, Kubemark requires setting up and bootstrapping a whole cluster, which takes a lot of time.
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We want to have a standard way to reproduce scheduling latency metrics result and benchmark scheduler as simple and fast as possible. We have the following goals:
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- Save time on testing
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- The test and benchmark can be run in a single box.
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We only set up components necessary to scheduling without booting up a cluster.
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- Profiling runtime metrics to find out bottleneck
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- Write scheduler integration test but focus on performance measurement.
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Take advantage of go profiling tools and collect fine-grained metrics,
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like cpu-profiling, memory-profiling and block-profiling.
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- Reproduce test result easily
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- We want to have a known place to do the performance related test for scheduler.
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Developers should just run one script to collect all the information they need.
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Currently the test suite has the following:
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- density test (by adding a new Go test)
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- schedule 30k pods on 1000 (fake) nodes and 3k pods on 100 (fake) nodes
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- print out scheduling rate every second
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- let you learn the rate changes vs number of scheduled pods
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- benchmark
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- make use of `go test -bench` and report nanosecond/op.
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- schedule b.N pods when the cluster has N nodes and P scheduled pods. Since it takes relatively long time to finish one round, b.N is small: 10 - 100.
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How To Run
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------
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```shell
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# In Kubernetes root path
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make generated_files
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cd test/integration/scheduler_perf
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./test-performance.sh
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```
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