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# Contributing to Cockroach
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- [Prerequisites](#prerequisites)
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- [Getting and Building](#getting-and-building)
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- [Style Guide](#style-guide)
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- [Code Review Workflow](#code-review-workflow)
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- [Debugging](#debugging)
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## Prerequisites
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Before you start contributing, review these [basic guidelines](https://www.cockroachlabs.com/docs/stable/contribute-to-cockroachdb.html) on finding a project, determining its complexity, and learning what to expect in your collaboration with the Cockroach Labs team.
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## Getting and Building
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1. Install the following prerequisites, as necessary:
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- A C++ compiler that supports C++11. Note that GCC prior to 6.0 doesn't
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work due to https://gcc.gnu.org/bugzilla/show_bug.cgi?id=48891
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- A Go environment with a recent 64-bit version of the toolchain. Note that
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the Makefile enforces the specific version required, as it is updated
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frequently.
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- Git 1.8+
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- Bash (4+ is preferred)
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- GNU Make (3.81+ is known to work)
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- CMake 3.1+
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- Autoconf 2.68+
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- Optional: NodeJS 6.x and Yarn 0.22.0+. Required when compiling protocol
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buffers.
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Note that at least 4GB of RAM is required to build from source and run tests.
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2. Get the CockroachDB code:
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```shell
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go get -d github.com/cockroachdb/cockroach
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cd $GOPATH/src/github.com/cockroachdb/cockroach
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```
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3. Run `make build`, `make test`, or anything else our Makefile offers. Note
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that the first time you run `make`, it can take some time to download and
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install various dependencies. After running `make build`, the `cockroach`
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executable will be in your current directory and can be run as shown in the
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[README](README.md).
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### Other Considerations
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- The default binary contains core open-source functionally covered by the
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Apache License 2 (APL2) and enterprise functionality covered by the
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CockroachDB Community License (CCL). To build a pure open-source (APL2)
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version excluding enterprise functionality, use `make buildoss`. See this
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[blog post] for more details.
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[blog post]: https://www.cockroachlabs.com/blog/how-were-building-a-business-to-last/
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- If you edit a `.proto` or `.ts` file, you will need to manually regenerate
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the associated `.pb.{go,cc,h}` or `.js` files using `make generate`.
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- We advise to run `make generate` using our embedded Docker setup.
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`build/builder.sh` is a wrapper script designed to make this convenient. You
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can run `build/builder.sh make generate` from the repository root to get the
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intended result.
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- If you plan on working on the UI, check out [the UI README](pkg/ui).
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- To add or update a Go dependency:
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- See [`build/README.md`](build/README.md) for details on adding or updating
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dependencies.
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- Run `make generate` to update generated files.
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- Create a PR with all the changes.
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[Style Guide](STYLE.md)
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## Code Review Workflow
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- All contributors need to sign the [Contributor License Agreement](https://cla-assistant.io/cockroachdb/cockroach).
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- Create a local feature branch to do work on, ideally on one thing at a time.
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If you are working on your own fork, see [this tip](http://blog.campoy.cat/2014/03/github-and-go-forking-pull-requests-and.html)
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on forking in Go, which ensures that Go import paths will be correct.
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`git checkout -b update-readme`
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- Hack away and commit your changes locally using `git add` and `git commit`.
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Remember to write tests! The following are helpful for running specific
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subsets of tests:
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```shell
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make test
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# Run all tests in ./pkg/storage
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make test PKG=./pkg/storage
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# Run all kv tests matching '^TestFoo' with a timeout of 10s
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make test PKG=./pkg/kv TESTS='^TestFoo' TESTTIMEOUT=10s
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# Run the sql logic tests
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make test PKG=./pkg/sql TESTS='TestLogic$$'
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# or, using a shortcut,
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make testlogic
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# Run a specific sql logic subtest
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make test PKG=./pkg/sql TESTS='TestLogic$$/select$$'
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# or, using a shortcut,
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make testlogic FILES=select
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```
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Logs are disabled during tests by default. To enable them, include
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`TESTFLAGS="-v -show-logs"` as an argument the test command:
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```shell
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make test ... TESTFLAGS="-v -show-logs"
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```
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When you're ready to commit, be sure to write a Good Commit Message™. Consult
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https://github.com/erlang/otp/wiki/Writing-good-commit-messages if you're
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not sure what constitutes a Good Commit Message™.
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In addition to the general rules referenced above, please also prefix your
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commit subject line with the affected package, if one can easily be chosen.
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For example, the subject line of a commit mostly affecting the
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`server/serverpb` package might read: "server/serverpb: made great again".
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Commits which affect many packages as a result of a shared dependency change
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should probably begin their subjects with the name of the shared dependency.
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Finally, some commits may need to affect many packages in a way which does
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not point to a specific package; those commits may begin with "*:" or "all:"
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to indicate their reach.
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- Run the linters, code generators, and unit test suites locally:
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```
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make pre-push
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````
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This will take several minutes.
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- When you’re ready for review, groom your work: each commit should pass tests
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and contain a substantial (but not overwhelming) unit of work. You may also
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want to `git fetch origin` and run
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`git rebase -i --exec "make lint test" origin/master` to make sure you're
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submitting your changes on top of the newest version of our code. Next, push
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to your fork:
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`git push -u <yourfork> update-readme`
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- Then [create a pull request using GitHub’s UI](https://help.github.com/articles/creating-a-pull-request). If you know of
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another GitHub user particularly suited to reviewing your pull request, be
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sure to mention them in the pull request body. If you possess the necessary
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GitHub privileges, please also [assign them to the pull request using
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GitHub's UI](https://help.github.com/articles/assigning-issues-and-pull-requests-to-other-github-users/).
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This will help focus and expedite the code review process.
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- Address test failures and feedback by amending your commits. If your change
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contains multiple commits, address each piece of feedback by amending that
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commit to which the particular feedback is aimed. Wait (or ask) for new
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feedback on those commits if they are not straightforward. An `LGTM` ("looks
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good to me") by someone qualified is usually posted when you're free to go
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ahead and merge. Most new contributors aren't allowed to merge themselves;
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in that case, we'll do it for you.
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Peeking into a running cluster can be done in several ways:
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- the [net/trace](https://godoc.org/golang.org/x/net/trace) endpoint at
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`/debug/requests`. It has a breakdown of the recent traced requests, in
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particularly slow ones. Two families are traced: `node` and `coord`, the
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former (and likely more interesting one) containing what happens inside of
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`Node`/`Store`/`Replica` and the other inside of the coordinator
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(`TxnCoordSender`).
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- [pprof](https://golang.org/pkg/net/http/pprof/) gives us (among other things)
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heap and cpu profiles; [this golang blog post](http://blog.golang.org/profiling-go-programs) explains it extremely well and
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[this one by Dmitry Vuykov](https://software.intel.com/en-us/blogs/2014/05/10/debugging-performance-issues-in-go-programs)
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goes into even more detail.
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An easy way to locally run a workload against a cluster are the acceptance
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tests. For example,
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```shell
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make acceptance TESTS='TestPut$$' TESTFLAGS='-v -d 1200s -l .' TESTTIMEOUT=1210s
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```
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runs the `Put` acceptance test for 20 minutes with logging (useful to look at
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the stack trace in case of a node dying). When it starts, all the relevant
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commands for `pprof`, `trace` and logs are logged to allow for convenient
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inspection of the cluster.