Building and Testing TypeORM
This document describes how to set up your development environment and run TypeORM test cases.
See the contribution guidelines if you'd like to contribute to TypeORM.
Prerequisite Software
Before you can build and test TypeORM, you must install and configure the following products on your development machine:
Git and/or the GitHub app (for Mac or Windows); GitHub's Guide to Installing Git is a good source of information.
Node.js, (better to install latest version) which is used to run a development web server, run tests, and generate distributable files. Depending on your system, you can install Node either from source or as a pre-packaged bundle.
Mysql is required to run tests on this platform (or docker)
MariaDB is required to run tests on this platform (or docker)
Postgres is required to run tests on this platform (or docker)
Oracle is required to run tests on this platform
Microsoft SQL Server is required to run tests on this platform
Getting the Sources
Fork and clone the repository:
Login to your GitHub account or create one by following the instructions given here.
Clone your fork of the TypeORM repository and define an
upstream
remote pointing back to the TypeORM repository that you forked in the first place.
Installing NPM Modules
Install all TypeORM dependencies by running this command:
ORM config
To create an initial ormconfig.json
file, run the following command:
Building
To build a distribution package of TypeORM run:
This command will generate you a distribution package in the build/package
directory. You can link (or simply copy/paste) this directory into your project and test TypeORM there (but make sure to keep all node_modules required by TypeORM).
To build the distribution package of TypeORM packed into a .tgz
, run:
This command will generate you a distribution package tar in the build
directory (build/typeorm-x.x.x.tgz
). You can copy this tar into your project and run npm install ./typeorm-x.x.x.tgz
to bundle your build of TypeORM in your project.
Running Tests Locally
It would be greatly appreciated if PRs that change code come with appropriate tests.
To create a test for a specific issue opened on github, create a file: test/github-issues/<num>/issue-<num>.ts
where <num>
is the corresponding github issue. For example, if you were creating a PR to fix github issue #363, you'd create test/github-issues/363/issue-363.ts
.
Most tests will benefit from using this template as a starting point:
If you place entities in ./entity/<entity-name>.ts
relative to your issue-<num>.ts
file, they will automatically be loaded.
To run the tests, setup your environment configuration by copying ormconfig.json.dist
into ormconfig.json
and replacing parameters with your own.
Then run tests:
You should execute test suites before submitting a PR to github. All the tests are executed on our Continuous Integration infrastructure and a PR could only be merged once the tests pass.
Executing only some tests: When you are creating tests to some specific code, you may want only execute the tests that you're creating, so you waste less time to verify your code. To do this, you can temporarily modify your tests definitions adding .only
mocha commands (describe, it). Example:
Hint: you can use the
--grep
flag to pass a Regex togulp-mocha
. Only the tests have havedescribe
/it
statements that match the Regex will be run. For example:This is useful when trying to get a specific test or subset of tests to pass.
Faster developer cycle for editing code and running tests
The npm test
script works by deleting built TypeScript code, rebuilding the codebase, and then running tests. This can take a long time.
Instead, for a quicker feedback cycle, you can run npm run compile -- --watch
to make a fresh build and instruct TypeScript to watch for changes and only compile what code you've changed.
Once TypeScript finishes compiling your changes, you can run npm run test-fast
(instead of test
), to trigger a test without causing a full recompile, which allows you to edit and check your changes much faster.
Using Docker
To run your tests you need dbms installed on your machine. Alternatively, you can use docker with all dbms images inside it. To use dbms for your tests from docker simply run docker-compose up
in the root of the project. Once all images are fetched and run you can run tests.
The docker image of mssql-server needs at least 3.25GB of RAM.
Make sure to assign enough memory to the Docker VM if you're running on Docker for Mac or Windows
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