OpenSearch/CONTRIBUTING.md

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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](https://www.elastic.co/downloads/elasticsearch) - your issue may already have been fixed. If not, search our [issues list](https://github.com/elastic/elasticsearch/issues) on GitHub in case a similar issue has already been opened.
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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:
```sh
# 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](https://github.com/elastic/elasticsearch/issues) on GitHub which describes the feature you would like to see, why you need it, and how it should work.
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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.
Note that it is unlikely the project will merge refactors for the sake of refactoring. These
types of pull requests have a high cost to maintainers in reviewing and testing with little
to no tangible benefit. This especially includes changes generated by tools. For example,
converting all generic interface instances to use the diamond operator.
The process for contributing to any of the [Elastic repositories](https://github.com/elastic/) is similar. Details for individual projects can be found below.
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### 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
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[github help page](https://help.github.com/articles/fork-a-repo) 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
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[TESTING](TESTING.asciidoc) file for help running tests.
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2. Sign the Contributor License Agreement
Please make sure you have signed our [Contributor License Agreement](https://www.elastic.co/contributor-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.
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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.
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4. Submit a pull request
Push your local changes to your forked copy of the repository and [submit a pull request](https://help.github.com/articles/using-pull-requests). 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".
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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](https://github.com/blog/2141-squash-your-commits).
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Contributing to the Elasticsearch codebase
------------------------------------------
**Repository:** [https://github.com/elastic/elasticsearch](https://github.com/elastic/elasticsearch)
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Make sure you have [Gradle](http://gradle.org) installed, as
Elasticsearch uses it as its build system. Gradle must be at least
version 4.3 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][eclipse] (version 4.7). For
IntelliJ, the minimum version that we support is [IntelliJ 2017.2][intellij].
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`. In order to run tests directly from
IDEA 2017.2 and above, it is required to disable the IDEA run launcher in order to avoid
`idea_rt.jar` causing "jar hell". This can be achieved by adding the
`-Didea.no.launcher=true` [JVM
option](https://intellij-support.jetbrains.com/hc/en-us/articles/206544869-Configuring-JVM-options-and-platform-properties).
Alternatively, `idea.no.launcher=true` can be set in the
[`idea.properties`](https://www.jetbrains.com/help/idea/file-idea-properties.html)
file which can be accessed under Help > Edit Custom Properties (this will require a
restart of IDEA). For IDEA 2017.3 and above, in addition to the JVM option, you will need to go to
`Run->Edit Configurations->...->Defaults->JUnit` and change the value for the `Shorten command line` setting from
`user-local default: none` to `classpath file`. You may also need to [remove `ant-javafx.jar` from your
classpath](https://github.com/elastic/elasticsearch/issues/14348) if that is
reported as a source of jar hell.
To run an instance of elasticsearch from the source code run `gradle run`
The Elasticsearch codebase makes heavy use of Java `assert`s 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`.
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Please follow these formatting guidelines:
* Java indent is 4 spaces
* Line width is 140 characters
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* 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.
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* 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/Settings->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.
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To create a distribution from the source, simply run:
```sh
cd elasticsearch/
gradle assemble
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```
You will find the newly built packages under: `./distribution/(deb|rpm|tar|zip)/build/distributions/`.
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Before submitting your changes, run the test suite to make sure that nothing is broken, with:
```sh
gradle check
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```
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.
[eclipse]: http://www.eclipse.org/community/eclipse_newsletter/2017/june/
[intellij]: https://blog.jetbrains.com/idea/2017/07/intellij-idea-2017-2-is-here-smart-sleek-and-snappy/