mocha.parallel
Speed up your IO bound async specs by running them at the same time. Compatible with node/iojs, and Mocha 2.x.x.
Success stories
- neo-async: Cut test suite running time from 20m to 7m
- nightmare: Cut test suite running time from 2m to 1m
- node-horseman
Installation
npm install --save mocha.parallel
Overview
/**
* Generates a suite for parallel execution of individual specs. While each
* spec is ran in parallel, specs resolve in series, leading to deterministic
* output. Compatible with both callbacks and promises. Supports hooks, pending
* or skipped specs/suites via parallel.skip() and it.skip(), but not nested
* suites. parallel.only() and it.only() may be used to only wait on the
* specified specs and suites. Runnable contexts are bound, so this.skip()
* and this.timeout() may be used from within a spec.
*
* @example
* parallel('setTimeout', function() {
* it('test1', function(done) {
* setTimeout(done, 500);
* });
* it('test2', function(done) {
* setTimeout(done, 500);
* });
* });
*
* @param {string} name Name of the function
* @param {function} fn The test suite's body
*/
Examples
In the examples below, imagine that setTimeout
is a function that performs
some async IO with the specified delay. This could include requests to your
http server using a module like supertest
or request
. Or maybe a headless
browser using zombie
or nightmare
.
Simple
Rather than taking 1.5s, the specs below run in parallel, completing in just over 500ms.
var parallel = require('mocha.parallel');
var Promise = require('bluebird');
parallel('delays', function() {
it('test1', function(done) {
setTimeout(done, 500);
});
it('test2', function(done) {
setTimeout(done, 500);
});
it('test3', function() {
return Promise.delay(500);
});
});
delays
✓ test1 (500ms)
✓ test2
✓ test3
3 passing (512ms)
Isolation
Individual parallel suites run in series and in isolation from each other. In the example below, the two specs in suite1 run in parallel, followed by those in suite2.
var parallel = require('mocha.parallel');
parallel('suite1', function() {
it('test1', function(done) {
setTimeout(done, 500);
});
it('test2', function(done) {
setTimeout(done, 500);
});
});
parallel('suite2', function() {
it('test1', function(done) {
setTimeout(done, 500);
});
it('test2', function(done) {
setTimeout(done, 500);
});
});
suite1
✓ test1 (503ms)
✓ test2
suite2
✓ test1 (505ms)
✓ test2
4 passing (1s)
Error handling
Uncaught exceptions are associated with the spec that threw them, despite them all running at the same time. So debugging doesn't need to be too difficult!
var parallel = require('mocha.parallel');
parallel('uncaught', function() {
it('test1', function(done) {
setTimeout(done, 500);
});
it('test2', function(done) {
setTimeout(function() {
// Thrown while test1 is executing
throw new Error('test');
}, 100);
});
it('test3', function(done) {
setTimeout(done, 500);
});
});
uncaught
✓ test1 (501ms)
1) test2
✓ test3
2 passing (519ms)
1 failing
1) uncaught test2:
Error: test
at null._onTimeout (fixtures/uncaughtException.js:11:13)
Hooks
Hook behavior may not be as intuitive when ran using this library.
var parallel = require('mocha.parallel');
var assert = require('assert');
describe('suite', function() {
var i = 0;
beforeEach(function(done) {
// Invoked twice, before either spec starts
i++;
done();
});
parallel('hooks', function() {
beforeEach(function(done) {
// Invoked twice, before either spec starts
i++;
done();
});
it('test1', function(done) {
// Incremented by 4x beforeEach
setTimeout(function() {
assert.equal(i, 4);
done();
}, 1000);
});
it('test2', function(done) {
// Incremented by 4x beforeEach
setTimeout(function() {
assert.equal(i, 4);
done();
}, 1000);
});
});
});
Notes
Debugging parallel execution can be more difficult as exceptions may be thrown from any of the running specs. Also, the use of the word "parallel" is in the same spirit as other nodejs async control flow libraries, such as https://github.com/caolan/async#parallel, https://github.com/creationix/step and https://github.com/tj/co#yieldables This library does not offer true parallelism using multiple threads/workers/fibers, or by spawning multiple processes.