CONTRIBUTING.md

Contributing to elasticsearch

Elasticsearch is an open source project and we love to receive contributions from our community — you! There are many ways to contribute, from writing tutorials or blog posts, improving the documentation, submitting bug reports and feature requests or writing code which can be incorporated into Elasticsearch itself.

Bug reports

If you think you have found a bug in Elasticsearch, first make sure that you are testing against the latest version of Elasticsearch - your issue may already have been fixed. If not, search our issues list on GitHub in case a similar issue has already been opened.

It is very helpful if you can prepare a reproduction of the bug. In other words, provide a small test case which we can run to confirm your bug. It makes it easier to find the problem and to fix it. Test cases should be provided as curl commands which we can copy and paste into a terminal to run it locally, for example:

# delete the index
curl -XDELETE localhost:9200/test

# insert a document
curl -XPUT localhost:9200/test/test/1 -d '{
 "title": "test document"
}'

# this should return XXXX but instead returns YYY
curl ....

Provide as much information as you can. You may think that the problem lies with your query, when actually it depends on how your data is indexed. The easier it is for us to recreate your problem, the faster it is likely to be fixed.

Feature requests

If you find yourself wishing for a feature that doesn't exist in Elasticsearch, you are probably not alone. There are bound to be others out there with similar needs. Many of the features that Elasticsearch has today have been added because our users saw the need. Open an issue on our issues list on GitHub which describes the feature you would like to see, why you need it, and how it should work.

Contributing code and documentation changes

If you have a bugfix or new feature that you would like to contribute to Elasticsearch, please find or open an issue about it first. Talk about what you would like to do. It may be that somebody is already working on it, or that there are particular issues that you should know about before implementing the change.

We enjoy working with contributors to get their code accepted. There are many approaches to fixing a problem and it is important to find the best approach before writing too much code.

The process for contributing to any of the Elastic repositories is similar. Details for individual projects can be found below.

Fork and clone the repository

You will need to fork the main Elasticsearch code or documentation repository and clone it to your local machine. See github help page for help.

Further instructions for specific projects are given below.

Submitting your changes

Once your changes and tests are ready to submit for review:

1. Test your changes

   Run the test suite to make sure that nothing is broken. See the TESTING file for help running tests.

2. Sign the Contributor License Agreement

   Please make sure you have signed our Contributor License Agreement. We are not asking you to assign copyright to us, but to give us the right to distribute your code without restriction. We ask this of all contributors in order to assure our users of the origin and continuing existence of the code. You only need to sign the CLA once.

3. Rebase your changes

   Update your local repository with the most recent code from the main Elasticsearch repository, and rebase your branch on top of the latest master branch. We prefer your initial changes to be squashed into a single commit. Later, if we ask you to make changes, add them as separate commits. This makes them easier to review. As a final step before merging we will either ask you to squash all commits yourself or we'll do it for you.

4. Submit a pull request

   Push your local changes to your forked copy of the repository and submit a pull request. In the pull request, choose a title which sums up the changes that you have made, and in the body provide more details about what your changes do. Also mention the number of the issue where discussion has taken place, eg "Closes #123".

Then sit back and wait. There will probably be discussion about the pull request and, if any changes are needed, we would love to work with you to get your pull request merged into Elasticsearch.

Please adhere to the general guideline that you should never force push to a publicly shared branch. Once you have opened your pull request, you should consider your branch publicly shared. Instead of force pushing you can just add incremental commits; this is generally easier on your reviewers. If you need to pick up changes from master, you can merge master into your branch. A reviewer might ask you to rebase a long-running pull request in which case force pushing is okay for that request. Note that squashing at the end of the review process should also not be done, that can be done when the pull request is integrated via GitHub.

Contributing to the Elasticsearch codebase

Repository: https://github.com/elastic/elasticsearch

Make sure you have Gradle installed, as Elasticsearch uses it as its build system. Gradle must be at least version 3.3 in order to build successfully.

We support development in the Eclipse and IntelliJ IDEs. For Eclipse, the minimum version that we support is Eclipse Oxygen (version 4.7). For IntelliJ, the minimum version that we support is IntelliJ 2017.2.

Eclipse users can automatically configure their IDE: gradle eclipse then File: Import: Existing Projects into Workspace. Select the option Search for nested projects. Additionally you will want to ensure that Eclipse is using 2048m of heap by modifying eclipse.ini accordingly to avoid GC overhead errors.

IntelliJ users can automatically configure their IDE: gradle idea then File->New Project From Existing Sources. Point to the root of the source directory, select Import project from external model->Gradle, enable Use auto-import. Additionally, in order to run tests directly from IDEA 2017.2 and above it is required to disable IDEA run launcher, which can be achieved by adding -Didea.no.launcher=true JVM option

The Elasticsearch codebase makes heavy use of Java asserts and the test runner requires that assertions be enabled within the JVM. This can be accomplished by passing the flag -ea to the JVM on startup.

For IntelliJ, go to Run->Edit Configurations...->Defaults->JUnit->VM options and input -ea.

For Eclipse, go to Preferences->Java->Installed JREs and add -ea to VM Arguments.

Please follow these formatting guidelines:

• Java indent is 4 spaces
• Line width is 140 characters
• The rest is left to Java coding standards
• Disable “auto-format on save” to prevent unnecessary format changes. This makes reviews much harder as it generates unnecessary formatting changes. If your IDE supports formatting only modified chunks that is fine to do.
• Wildcard imports (import foo.bar.baz.*) are forbidden and will cause the build to fail. Please attempt to tame your IDE so it doesn't make them and please send a PR against this document with instructions for your IDE if it doesn't contain them.
• Eclipse: Preferences->Java->Code Style->Organize Imports. There are two boxes labeled "Number of (static )? imports needed for .*". Set their values to 99999 or some other absurdly high value.
• IntelliJ: Preferences->Editor->Code Style->Java->Imports. There are two configuration options: Class count to use import with '*' and Names count to use static import with '*'. Set their values to 99999 or some other absurdly high value.
• Don't worry too much about import order. Try not to change it but don't worry about fighting your IDE to stop it from doing so.

To create a distribution from the source, simply run:

cd elasticsearch/
gradle assemble

You will find the newly built packages under: ./distribution/(deb|rpm|tar|zip)/build/distributions/.

Before submitting your changes, run the test suite to make sure that nothing is broken, with:

gradle check

Contributing as part of a class

In general Elasticsearch is happy to accept contributions that were created as part of a class but strongly advise against making the contribution as part of the class. So if you have code you wrote for a class feel free to submit it.

Please, please, please do not assign contributing to Elasticsearch as part of a class. If you really want to assign writing code for Elasticsearch as an assignment then the code contributions should be made to your private clone and opening PRs against the primary Elasticsearch clone must be optional, fully voluntary, not for a grade, and without any deadlines.

Because:

• While the code review process is likely very educational, it can take wildly varying amounts of time depending on who is available, where the change is, and how deep the change is. There is no way to predict how long it will take unless we rush.
• We do not rush reviews without a very, very good reason. Class deadlines aren't a good enough reason for us to rush reviews.
• We deeply discourage opening a PR you don't intend to work through the entire code review process because it wastes our time.
• We don't have the capacity to absorb an entire class full of new contributors, especially when they are unlikely to become long time contributors.

Finally, we require that you run gradle check before submitting a non-documentation contribution. This is mentioned above, but it is worth repeating in this section because it has come up in this context.