 queries, or handling high concurrency. *** Druid as an open source alternative to data warehouses for a variety of use cases. The design documentation explains the key concepts.
You can get started with Druid with our local or Docker quickstart. For Kubernetes deployments, the https://github.com/apache/druid-operator is maintained in a separate repository.
Druid provides a rich set of APIs (via HTTP and JDBC) for loading, managing, and querying your data. You can also interact with Druid via the built-in web console (shown below).
Load data
. Then, open a pull request.
To build the site locally, you need Node 18 or higher and to install Docusaurus 3 with npm|yarn install in the website directory. Then you can run npm|yarn start to launch a local build of the docs.
If you're looking to update non-doc pages like Use Cases, those files are in the https://github.com/apache/druid-website-src/tree/master repo.
For more information, see the README in the ./website directory.
Visit the official project community page to read about getting involved in contributing to Apache Druid, and how we help one another use and operate Druid.
druid-user mailing list on Google Groups, and have more technical conversations in #troubleshooting on Slack.druid-dev mailing list (***). Subscribe by emailing ***. For live conversations, join the #dev channel on Slack.Check out the official community page for details of how to join the community Slack channels.
Find articles written by community members and a calendar of upcoming events on the project site - contribute your own events and articles by submitting a PR in the https://github.com/apache/druid-website-src/tree/master/_data repository.
Please note that JDK 17 or JDK 21 is required to build Druid.
See the latest build guide for instructions on building Apache Druid from source.
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ dev/intellij-setup.md
Apache License, Version 2.0
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