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CONTRIBUTING.md

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Contributing

Thank you for your interest in making FerretDB better!

Finding something to work on

We are interested in all contributions, big or small, in code or documentation. But unless you are fixing a very small issue like a typo, we kindly ask you first to create an issue, to leave a comment on an existing issue if you want to work on it, or to join our Slack chat and leave a message for us there. This way, you will get help from us and avoid wasted efforts if something can't be worked on right now or someone is already working on it.

You can find a list of good issues for first-time contributors there.

Setting up the environment

Requirements

The supported way of contributing to FerretDB is to modify and run it on the host (Linux, macOS, or Windows) with PostgreSQL and other dependencies running inside Docker containers via Docker Compose. On Linux, docker (with docker compose subcommand a.k.a. Compose V2, not old docker-compose tool) should be installed on the host. On macOS and Windows, Docker Desktop should be used. On Windows, it should be configured to use WSL 2 without any distro; all commands should be run on the host.

You will need Go 1.20 or later on the host. If your package manager doesn't provide it yet, please install it from go.dev.

You will also need git installed; the version provided by your package manager should do. On Windows, the simplest way to install it might be https://gitforwindows.org.

Finally, you will also need git-lfs installed and configured (git lfs install).

Making a working copy

Fork the FerretDB repository on GitHub. To have all the tags in the repository and what they point to, copy all branches by removing checkmark for copy the main branch only before forking.

After forking FerretDB on GitHub, you can clone the repository:

git clone git@github.com:<YOUR_GITHUB_USERNAME>/FerretDB.git
cd FerretDB
git remote add upstream https://github.com/FerretDB/FerretDB.git

To run development commands, you should first install the task tool. You can do this by changing the directory to tools (cd tools) and running go generate -x. That will install task into the bin directory (bin/task on Linux and macOS, bin\task.exe on Windows). You can then add ./bin to $PATH either manually (export PATH=./bin:$PATH in bash) or using something like direnv (.envrc files), or replace every invocation of task with explicit bin/task. You can also install task globally, but that might lead to the version skew.

With task installed, you should install development tools with task init and download required Docker images with task env-pull.

If something does not work correctly, you can reset the environment with task env-reset.

You can see all available task tasks with task -l.

Building a production release binary

To build a production release binary, run task build-release. The result will be saved as bin/ferretdb.

Contributing code

Commands for contributing code

With task installed (see above), you may do the following:

  1. Start the development environment with task env-up.
  2. Run all tests in another terminal window with task test.
  3. Start FerretDB with task run. This will start it in a development mode where all requests are handled by FerretDB, but also routed to MongoDB. The differences in response are then logged and the FerretDB response is sent back to the client.
  4. Fill collections in test database with data for experiments with task env-data.
  5. Run mongosh with task mongosh. This allows you to run commands against FerretDB. For example, you can see what data was inserted by the previous command with db.values.find().

Operation modes

FerretDB can run in multiple operation modes. Operation mode specify how FerretDB handles incoming requests. FerretDB supports four operation modes: normal, proxy, diff-normal, diff-proxy, see Operation modes documentation page for more details.

By running task run FerretDB starts on diff-normal mode, which routes all of the sent requests both to the FerretDB and MongoDB. While running, it logs a difference between both returned responses, but sends the one from FerretDB to the client. If you want to get the MongoDB response, you can run task run-proxy to start FerretDB in diff-proxy mode.

Code overview

The directory cmd provides commands implementation. Its subdirectory ferretdb is the main FerretDB binary; others are tools for development.

The package tools uses "tools.go" approach to fix tools versions. They are installed into bin/ by cd tools; go generate -x.

The internal subpackages contain most of the FerretDB code:

  • types package provides Go types matching BSON types that don't have built-in Go equivalents: we use int32 for BSON's int32, but types.ObjectID for BSON's ObjectId.
  • types/fjson provides converters from/to FJSON for built-in and types types. FJSON adds some extensions to JSON for keeping object keys in order, preserving BSON type information in the values themselves, etc. It is used for logging of BSON values and wire protocol messages.
  • bson package provides converters from/to BSON for built-in and types types.
  • wire package provides wire protocol implementation.
  • clientconn package provides client connection implementation. It accepts client connections, reads wire/bson protocol messages, and passes them to handlers. Responses are then converted to wire/bson messages and sent back to the client.
  • handlers contains a common interface for backend handlers that they should implement. Handlers use types and wire packages, but bson package details are hidden.
  • handlers/common contains code shared by different handlers.
  • handlers/dummy contains a stub implementation of that interface that could be copied into a new package as a starting point for the new handlers.
  • handlers/pg contains the implementation of the PostgreSQL handler.
  • handlers/pg/pjson provides converters from/to PJSON for built-in and types types. PJSON adds some extensions to JSON for keeping object keys in order, preserving BSON type information in the values themselves, etc. It is used by pg handler.
  • handlers/tigris contains the implementation of the Tigris handler.
  • handlers/tigris/tjson provides converters from/to TJSON with JSON Schema for built-in and types types. BSON type information is preserved either in the schema (where possible) or in the values themselves. It is used by tigris handler.

Those packages are tested by "unit" tests that are placed inside those packages. Some of them are truly hermetic and test only the package that contains them; you can run those "short" tests with go test -short or task test-unit-short, but that's typically not required. Other unit tests use real databases; you can run those with task test-unit after starting the environment as described above.

We also have a set of "integration" tests in the integration directory. They use the Go MongoDB driver like a regular user application. They could test any MongoDB-compatible database (such as FerretDB or MongoDB itself) via a regular TCP or TLS port or Unix socket. They also could test in-process FerretDB instances (meaning that integration tests start and stop them themselves) with a given handler. Finally, some tests (so-called compatibility or "compat" tests) connect to two systems ("target" for FerretDB and "compat" for MongoDB) at the same time, send the same queries to both, and compare results. You can run them with:

  • task test-integration-pg for in-process FerretDB with pg handler and MongoDB;
  • task test-integration-tigris for in-process FerretDB with tigris handler and MongoDB;
  • task test-integration-mongodb for MongoDB only, skipping compat tests;
  • or task test-integration to run all in parallel.

You may run all tests in parallel with task test. If tests fail and the output is too confusing, try running them sequentially by using the commands above.

You can also run task -C 1 to limit the number of concurrent tasks, which is useful for debugging.

Finally, since all tests just run go test with various arguments and flags under the hood, you may also use all standard go tool facilities, including GOFLAGS environment variable. For example:

  • to run a single test case for in-process FerretDB with pg handler with all subtests running sequentially, you may use env GOFLAGS='-run=TestName/TestCaseName -parallel=1' task test-integration-pg;
  • to run all tests for in-process FerretDB with tigris handler with Go execution tracer enabled, you may use env GOFLAGS='-trace=trace.out' task test-integration-tigris.

(It is not recommended to set GOFLAGS and other Go environment variables with export GOFLAGS=... or go env -w GOFLAGS=... because they are invisible and easy to forget about, leading to confusion.)

In general, we prefer integration tests over unit tests, tests using real databases over short tests and real objects over mocks.

(You might disagree with our terminology for "unit" and "integration" tests; let's not fight over it.)

We have an additional integration testing system in another repository: https://github.com/FerretDB/dance.

Observability in tests

Integration tests start a debug handler with pprof profiles and execution traces on a random port (to allow running multiple test configurations in parallel). They also send telemetry traces to the local Jaeger instance that can be accessed at http://127.0.0.1:16686/.

Code style and conventions

Above everything else, we value consistency in the source code. If you see some code that doesn't follow some best practice but is consistent, please keep it that way; but please also tell us about it, so we can improve all of it. If, on the other hand, you see code that is inconsistent without apparent reason (or comment), please improve it as you work on it.

Our code most of the standard Go conventions, documented on CodeReviewComments wiki page. Some of our idiosyncrasies:

  1. We use type switches over BSON types in many places in our code. The order of cases follows this order: https://pkg.go.dev/github.com/FerretDB/FerretDB/internal/types#hdr-Mapping It may seem random, but it is only pseudo-random and follows BSON spec: https://bsonspec.org/spec.html
  2. We generally pass and return structs by pointers. There are some exceptions like types.Path that has value semantics, but when in doubt – use pointers.

Integration tests conventions

We prefer our integration tests to be straightforward, branchless (with a few, if any, if and switch statements), and backend-independent. Ideally, the same test should work for both FerretDB with all handlers and MongoDB. If that's impossible without some branching, use helpers exported from the setup package, such us IsTigris, SkipForTigrisWithReason, TigrisOnlyWithReason. The bar for using other ways of branching, such as checking error codes and messages, is very high. Writing separate tests might be much better than making a single test that checks error text.

Also, we should use driver methods as much as possible instead of testing commands directly via RunCommand.

Submitting code changes

Before submitting a pull request, please make sure that:

  1. Tests are added for new functionality or fixed bugs. Typical test cases include:
    • happy paths;
    • dot notation for existing and non-existent paths.
  2. Comments are added or updated for all new or changed code. Please add missing comments for all (both exported and unexported) new and changed top-level declarations (functions, types, etc).
  3. Comments are rendered correctly in the task godocs output.
  4. task all passes.

Reporting a bug

We appreciate reporting a bug to us. To help us accurately identify the cause, we encourage you to include a pull request with test script. Please write the test script in build/legacy-mongo-shell/test.js. You can find an example of how to prepare a test script in build/legacy-mongo-shell/test.example.js.

Test your script using following steps:

  1. Start the development environment with task env-up.
  2. Start FerretDB with task run.
  3. Run the test script with task testjs.

Please create a pull request and include the link of the pull request in the bug issue.

Contributing documentation

Commands for contributing documentation

With task installed (see above), you may do the following:

  1. Format and lint documentation with task docs-fmt.
  2. Start Docusaurus development server with task docs-dev.
  3. Build Docusaurus website with task docs.

Submitting documentation changes

Before submitting a pull request, please make sure that:

  1. Documentation is formatted, linted, and built with task docs.
  2. Documentation is written according to our writing guide