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This adds new benchmark tests that measure scheduler latency of pods that use affinity rules. Specifically, this tests affinity rules with topologyKey="kubernetes.io/hostname".
Scheduler Performance Test
Motivation
We already have a performance testing system -- Kubemark. However, Kubemark requires setting up and bootstrapping a whole cluster, which takes a lot of time.
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:
- Save time on testing
- The test and benchmark can be run in a single box. We only set up components necessary to scheduling without booting up a cluster.
- Profiling runtime metrics to find out bottleneck
- Write scheduler integration test but focus on performance measurement. Take advantage of go profiling tools and collect fine-grained metrics, like cpu-profiling, memory-profiling and block-profiling.
- Reproduce test result easily
- We want to have a known place to do the performance related test for scheduler. Developers should just run one script to collect all the information they need.
Currently the test suite has the following:
- density test (by adding a new Go test)
- schedule 30k pods on 1000 (fake) nodes and 3k pods on 100 (fake) nodes
- print out scheduling rate every second
- let you learn the rate changes vs number of scheduled pods
- benchmark
- make use of
go test -benchand report nanosecond/op. - 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.
- make use of
How To Run
# In Kubernetes root path
make generated_files
cd test/integration/scheduler_perf
./test-performance.sh