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Copy file name to clipboardExpand all lines: .github/PULL_REQUEST_TEMPLATE.md
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-[ ] You have read the [Spring Data contribution guidelines](https://github.com/spring-projects/spring-data-build/blob/master/CONTRIBUTING.adoc).
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-[ ] There is a ticket in the bug tracker for the project in our [JIRA](https://jira.spring.io/browse/DATAES).
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-[ ] There is a ticket in the bug tracker for the project in our [issue tracker](https://github.com/spring-projects/spring-data-elasticsearch/issues).
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-[ ] You use the code formatters provided [here](https://github.com/spring-projects/spring-data-build/tree/master/etc/ide) and have them applied to your changes. Don’t submit any formatting related changes.
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-[ ] You submit test cases (unit or integration tests) that back your changes.
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-[ ] You added yourself as author in the headers of the classes you touched. Amend the date range in the Apache license header if needed. For new types, add the license header (copy from another file and set the current year only).
Copy file name to clipboardExpand all lines: README.adoc
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* If you are upgrading, check out the https://docs.spring.io/spring-data/elasticsearch/docs/current/changelog.txt[changelog] for "`new and noteworthy`" features.
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* Ask a question - we monitor https://stackoverflow.com[stackoverflow.com] for questions tagged with https://stackoverflow.com/tags/spring-data[`spring-data-elasticsearch`].
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You can also chat with the community on https://gitter.im/spring-projects/spring-data[Gitter].
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* Report bugs with Spring Data for Elasticsearch at https://jira.spring.io/browse/DATAES[jira.spring.io/browse/DATAES].
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* Report bugs with Spring Data for Elasticsearch at https://github.com/spring-projects/spring-data-elasticsearch/issues[https://github.com/spring-projects/spring-data-elasticsearch/issues].
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== Reporting Issues
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Spring Data uses JIRA as issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:
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Spring Data uses GitHub as issue tracking system to record bugs and feature requests. If you want to raise an issue, please follow the recommendations below:
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* Before you log a bug, please search the
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https://jira.spring.io/browse/DATAES[issue tracker] to see if someone has already reported the problem.
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* If the issue doesn’t already exist, https://jira.spring.io/browse/DATAES[create a new issue].
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* Please provide as much information as possible with the issue report, we like to know the version of Spring Data that you are using and JVM version.
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* If you need to paste code, or include a stack trace use JIRA `{code}…{code}` escapes before and after your text.
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https://github.com/spring-projects/spring-data-elasticsearch/issues[issue tracker] to see if someone has already reported the problem.
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* If the issue doesn’t already exist, https://github.com/spring-projects/spring-data-elasticsearch/issues/new[create a new issue].
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* Please provide as much information as possible with the issue report, we like to know the version of Spring Data Elasticsearch that you are using and JVM version.
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* If you need to paste code, or include a stack trace use Markdown +++```+++ escapes before and after your text.
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* If possible try to create a test-case or project that replicates the issue. Attach a link to your code or a compressed file containing your code.
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== Building from Source
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_Also see link:CONTRIBUTING.adoc[CONTRIBUTING.adoc] if you wish to submit pull requests, and in particular please sign the https://cla.pivotal.io/sign/spring[Contributor’s Agreement] before submitting your first pull request._
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IMPORTANT: When contributing, please make sure an issue exists in Jira and comment on this issue with how you want to address it. By this we not only know that someone is working on an issue, we can also align architectural questions and possible solutions before work is invested. We so can prevent that much work is put into Pull Requests that have little
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IMPORTANT: When contributing, please make sure an issue exists in https://github.com/spring-projects/spring-data-elasticsearch/issues[issue tracker] and comment on this issue with how you want to address it. By this we not only know that someone is working on an issue, we can also align architectural questions and possible solutions before work is invested
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. We
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so
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can prevent that much work is put into Pull Requests that have little
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