jest-environment-mongodb
v1.0.5
Published
Jest environment with a running in-memory MongoDB server
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jest-environment-mongodb
Easily run Jest integration tests that require a running MongoDB server
Features
- Superfast in watch mode (use
--runInBand
to prevent MongoDB from rebooting between test-runs) - Easy to set the storage engine per test file (use docblocks to override the default storage engine on a per file basis)
- Includes TypeScript type annotations
Types
This package is written in TypeScript, type declarations (and source maps) are included with the package so no need to install types separately. It also works great with regular JavaScript.
Installation
NPM
npm install --save-dev mongodb-memory-server jest-environment-mongodb
Yarn
yarn add --dev mongodb-memory-server jest-environment-mongodb
Configuration - configuration file
To use jest-environment-mongodb
as the default test environment, update your
Jest configuration as follows:
{
"testEnvironment": "mongodb"
}
To set the test environment on a per file or file pattern basis, consider using a docblock (see the next section) or configure Jest projects.
Configuration - docblock
By adding a @jest-environment
docblock at
the top of a test file, you can specify mongodb
to be used for all tests in
that file:
/**
* @jest-environment mongodb
*/
This overrides any environment set by testEnvironment
in the Jest
configuration file.
For docblock usage, jest-environment-mongodb-wiredtiger and jest-environment-mongodb-ephemeral may come in handy.
Default mode
The default behavior of jest-environment-mongodb
is to run one MongoDB server
per Jest worker and to set up a new database for each test suite. This means you
have complete isolation between test suites and parallel test runs (workers).
While great for running many tests (in for example CI), it is also slow,
especially if you need to apply indexes to your collections. This becomes
particularly painful if you use watch mode when developing. However, you can
change this behavior with --runInBand
, which will keep a single server running
between test runs, see the next section.
TDD mode - keeping the MongoDB server alive between test suites
When starting Jest with the --runInBand
(or the alias -i
) CLI flag, a single
MongoDB server will be started and kept alive between test runs. This is useful
when running Jest in watch mode, as it prevents MongoDB from restarting between
every code change.
If you need to apply indexes to your DB before running tests, --runInBand
will
give you an extra performance boost since you don't need to recreate the indexes
for every code-change/test-run.
The MongoDB server is also kept alive and shared between test suites.
Just remember to clean up your database between each test and this should give a nice performance boost when developing.
Example:
jest --watch --runInBand mytests.test.js
MongoDB server options
Configure the MongoDB server by passing options to testEnvironmentOptions
of
your Jest configuration file.
The available testEnvironmentOptions
are the same as the
mongodb-memory-server
options.
Example:
{
"testEnvironment": "mongodb",
"testEnvironmentOptions": {
"binary": {
"version": "3.6.5"
},
"instance": {
"storageEngine": "wiredTiger"
}
}
}
MongoDB options provided via testEnvironmentOptions
also applies to docblock
environments.
Globals
The jest-environment-mongodb
environment exposes three global variables:
global.MONGO_URI // The server connection URI
global.MONGO_DB_NAME // The database name
global.MONGOD // The mongod instance from `mongodb-memory-server`
Usage
/**
* @jest-environment mongodb
*/
import { MongoClient } from "mongodb";
let client;
let db;
beforeAll(async () => {
client = await MongoClient.connect(global.MONGO_URI);
db = await client.db(global.MONGO_DB_NAME);
});
afterAll(async () => {
await client.close();
});
beforeEach(async () => {
// Reset the database before each test
await db.dropDatabase();
});
it("should aggregate docs from collection", async () => {
const files = db.collection("files");
await files.insertMany([
{ type: "Document" },
{ type: "Video" },
{ type: "Image" },
{ type: "Document" },
{ type: "Image" },
{ type: "Document" },
]);
const topFiles = await files
.aggregate([
{ $group: { _id: "$type", count: { $sum: 1 } } },
{ $sort: { count: -1 } },
])
.toArray();
expect(topFiles).toEqual([
{ _id: "Document", count: 3 },
{ _id: "Image", count: 2 },
{ _id: "Video", count: 1 },
]);
});