ef6811ef88
* Improved Java 17 support and Java runtime docs. 1) Add a "Java runtime" doc page with information about supported Java versions, garbage collection, and strong encapsulation.. 2) Update asm and equalsverifier to versions that support Java 17. 3) Add additional "--add-opens" lines to surefire configuration, so tests can pass successfully under Java 17. 4) Switch openjdk15 tests to openjdk17. 5) Update FrameFile to specifically mention Java runtime incompatibility as the cause of not being able to use Memory.map. 6) Update SegmentLoadDropHandler to log an error for Errors too, not just Exceptions. This is important because an IllegalAccessError is encountered when the correct "--add-opens" line is not provided, which would otherwise be silently ignored. 7) Update example configs to use druid.indexer.runner.javaOptsArray instead of druid.indexer.runner.javaOpts. (The latter is deprecated.) * Adjustments. * Use run-java in more places. * Add run-java. * Update .gitignore. * Exclude hadoop-client-api. Brought in when building on Java 17. * Swap one more usage of java. * Fix the run-java script. * Fix flag. * Include link to Temurin. * Spelling. * Update examples/bin/run-java Co-authored-by: Xavier Léauté <xl+github@xvrl.net> Co-authored-by: Xavier Léauté <xl+github@xvrl.net> |
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README.md
Website | Documentation | Developer Mailing List | User Mailing List | Slack | Twitter | Download
Apache Druid
Druid is a high performance real-time analytics database. Druid's main value add is to reduce time to insight and action.
Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational (ad-hoc) queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases. The design documentation explains the key concepts.
Getting started
You can get started with Druid with our local or Docker quickstart.
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 console (shown below).
Load data
Load streaming and batch data using a point-and-click wizard to guide you through ingestion setup. Monitor one off tasks and ingestion supervisors.
Manage the cluster
Manage your cluster with ease. Get a view of your datasources, segments, ingestion tasks, and services from one convenient location. All powered by SQL systems tables, allowing you to see the underlying query for each view.
Issue queries
Use the built-in query workbench to prototype DruidSQL and native queries or connect one of the many tools that help you make the most out of Druid.
Documentation
You can find the documentation for the latest Druid release on the project website.
If you would like to contribute documentation, please do so under
/docs in this repository and submit a pull request.
Community
Community support is available on the druid-user mailing list, which is hosted at Google Groups.
Development discussions occur on dev@druid.apache.org, which you can subscribe to by emailing dev-subscribe@druid.apache.org.
Chat with Druid committers and users in real-time on the Apache Druid Slack channel. Please use this invitation link to join and invite others.
Building from source
Please note that JDK 8 or JDK 11 is required to build Druid.
See the latest build guide for instructions on building Apache Druid from source.
Contributing
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ dev/intellij-setup.md