modules/ssr-benchmarks/README.md
This small benchmark suite is dedicated to measure & describe how compute time is spent when rendering an application like in SSR.
./main.ts is the entry point to run the benchmark
./src contains a sample app that exports a render function.
This app renders a table of variable size, which depends on data (initData())
This app is then rendered X numbers of times
Individual function calls are measured with startMeasuring()/stopMeasuring() from the core package.
If you add a new measure, make sure to add it also to the levels map for it to be represented correctly in the result
pnpm bazel run //modules/ssr-benchmarks:run
pnpm bazel run //modules/ssr-benchmarks:run_browser
This bazel target will build the benchmark, start a http-server with a html that will load the benchmark script. The benchmark script with this target will have DOM Emulation disabled. The result will be visible in the DevTools console.
Note: Due to the CLI adding some polyfills, @angular/build is patched to disable DOM emulation and running server code inside a browser:
node:module in polyfills.server.mjs (with tail ...)platform-server/init.To create a usable flame chart, prepare a narrowed run (like benchmarkRun(10000, 20);).
Then in the performance tab of the devtools, trigger "Record & Reload" to generate a profile.
A target is dedicated to generate a v8 log that can be fed to the Deopt Explorer extension.
pnpm bazel run //modules/ssr-benchmarks:run_deopt,Successfully ran all commands in test directory:,=== table with 10000 rows, with 1000 renders === ┌─────────┬──────────────────────────────────────┬──────────┬──────────┬────────────┬───────────┐ │ (index) │ name │ min │ average │ percentage │ max │ ├─────────┼──────────────────────────────────────┼──────────┼──────────┼────────────┼───────────┤ │ 0 │ ' renderApplication ' │ '77.0ms' │ '86.4ms' │ '100.0%' │ '259.2ms' │ │ 1 │ ' └ createServerPlatform ' │ '0.0ms' │ '0.1ms' │ '0.1%' │ '3.7ms' │ │ 2 │ ' └ bootstrap ' │ '35.9ms' │ '42.6ms' │ '49.3%' │ '138.4ms' │ │ 3 │ ' └ _render ' │ '39.7ms' │ '43.8ms' │ '50.7%' │ '124.9ms' │ │ 4 │ ' └ whenStable ' │ '0.0ms' │ '0.0ms' │ '0.0%' │ '0.0ms' │ │ 5 │ ' └ prepareForHydration ' │ '13.1ms' │ '14.8ms' │ '17.1%' │ '53.4ms' │ │ 6 │ ' └ insertEventRecordScript ' │ '0.0ms' │ '0.0ms' │ '0.0%' │ '0.0ms' │ │ 7 │ ' └ serializeTransferStateFactory' │ '0.0ms' │ '0.0ms' │ '0.0%' │ '0.1ms' │ │ 8 │ ' └ renderToString ' │ '7.3ms' │ '8.9ms' │ '10.3%' │ '41.8ms' │ └─────────┴──────────────────────────────────────┴──────────┴──────────┴────────────┴───────────┘
Note: The max measure is often an outlier of the first few measures, probably before the JIT optimisation happens