JSPM

ts-check-perf

0.0.0
    • ESM via JSPM
    • ES Module Entrypoint
    • Export Map
    • Keywords
    • License
    • Repository URL
    • TypeScript Types
    • README
    • Created
    • Published
    • Downloads 1
    • Score
      100M100P100Q20754F
    • License ISC

    Measuring and comparing type-checking speed of TS samples

    Package Exports

    • ts-check-perf
    • ts-check-perf/patchTypeScript

    Readme

    ts-check-perf

    A tool for measuring and comparing type-checking speed of TS samples.

    npm i -D ts-check-perf

    It runs TS type-checked many times over the same samples to measure type-checking performance.

    Optionally, define a preparation code that is loaded by TS only once.

    Samples can import files of your project, project files are also loaded by TS only once, so only the performance of samples is measured.

    Defining samples

    For example, we want to know which is faster: extending type with new properties, or interface.

    Define a common code that is not wanted to be measured as a preparation:

    const preparation = `
      type Type = {
        one: 1
        two: 2
        three: 3
      }
      
      interface Interface = {
        one: 1
        two: 2
        three: 3
      }
    `;

    Next, we can define our samples, one will extend the type, and the second will extend the interface.

    Types in samples must be exported, otherwise TS compiler will throw an error about name collision.

    Sample code can be defined as object where keys are sample names and values are TS code:

    const samples = {
      type: `
        export type Obj = {
          one: 1
          two: 2
          three: 3
        }
      `,
      interface: `
        export interface Obj {
          one: 1
          two: 2
          three: 3
        }
      `,
    };

    Or, samples can be defined as array, samples names will be 1st, 2nd, 3rd:

    const samples = [
      `
        export type Extended = Type & {
          four: 4
          five: 5
          six: 6
        }
      `,
      `
        export interface Extended extends Interface {
          four: 4
          five: 5
          six: 6
        }
      `,
    ];

    Measure time

    measureTime type checks first sample, second, first, second, and does so 1000 times for each sample.

    import { measureTime } from "ts-check-perf";
    
    measureTime({
      preparation,
      samples,
    })

    Outputs:

    1st.ts (slowest): 35ms
    2nd.ts +1.06x (fastest): 33ms

    Measurement numbers below 1 second should not be trusted, such results will be different on every benchmark run. Changing it to type-check million times:

    measureTime({
      runTimes: 1_000_000,
      preparation,
      samples,
    })
    1st.ts (slowest): 2899ms
    2nd.ts +1.22x (fastest): 2385ms

    Measure speed

    measureTime type checks first sample, second, first, second, and continues for 100ms for each sample, measuring how many operations per second each sample gives.

    import { measureSpeed } from "ts-check-perf";
    
    measureSpeed({
      preparation,
      samples,
    })
    1st.ts (slowest): 289k ops/s
    2nd.ts +1.4x (fastest): 404.1k ops/s

    Change the duration by setting durationMs:

    measureSpeed({
      durationMs: 1000,
      preparation,
      samples,
    })
    1st.ts (slowest): 332.4k ops/s
    2nd.ts +1.37x (fastest): 454.9k ops/s

    benchmark.js

    You can use ts-check-perf in together with other benchmarking tools which provides more metrics.

    import { setupTsBenchmark } from "ts-check-perf";
    import * as Benchmark from 'benchmark'
    
    const { typeChecker, sourceFiles } = setupTsBenchmark({
      preparation,
      samples,
    })
    
    const suite = new Benchmark.Suite()
    
    suite
      .add('type', () => {
        typeChecker.checkFileForBenchmark(sourceFiles[0]);
      })
      .add('interface', () => {
        typeChecker.checkFileForBenchmark(sourceFiles[1]);
      })
      .on('cycle', (e) => {
        console.log(String(e.target));
      })
      .on('complete', () => {
        console.log('Fastest is ' + suite.filter('fastest').map('name').join(', '));
      })
      .run()
    type x 349,530 ops/sec ±6.94% (74 runs sampled)
    interface x 286,340 ops/sec ±17.00% (63 runs sampled)
    Fastest is type

    Common parameters

    Set log: false to measureTime and measureSpeed to disable logging, they return a result Record<'sample name', number> you can use programmatically.

    By default, this tool is looking for tsconfig.json for configuring TS, you can change this file name by setting tsconfigName parameter to options of measureTime, measureSpeed, setupTsBenchmark.

    ESM

    This tools works by patching TS source code on-the-fly: it reads TypeScript's compiler code from node_modules, injects own function into it, and saves the result to require.cache.

    Such trick only works with CommonJS module system, there is no official way to do this for ESM, so this library doesn't support ESM and have no plans for it.

    Bun

    Interesting observation, running the example from above with measureSpeed:

    $ node -v
    v20.8.1
    $ node bench.js
    1st.ts (slowest): 323.5k ops/s
    2nd.ts +1.27x (fastest): 412.1k ops/s

    Running the same file with Bun:

    $ bun -v
    1.0.15
    $ bun bench.js
    1st.ts (slowest): 562.0k ops/s
    2nd.ts +1.12x (fastest): 631.9k ops/s