Apache Druid: a high performance real-time analytics database.
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Fix retry logic in `BrokerClient` and flakey `BrokerClientTest` (#16618)
* Fix flakey BrokerClientTest.

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The exception handling in BrokerClientTest was broken:
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.github Fix cds-coordinator-metadata-query-disabled (#16488) 2024-05-22 20:42:11 +02:00
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benchmarks Deserialize dimensions in group by queries to their respective types when reading from their serialized format (#16511) 2024-06-14 16:27:47 +08:00
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codestyle Support sorting on complex columns in MSQ (#16322) 2024-05-13 15:07:05 +05:30
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distribution Use canonical hostname instead of ip by default (#16386) 2024-05-11 17:53:22 +08:00
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indexing-service Fix peon startup with non string property value (#16612) 2024-06-16 07:48:44 +05:30
integration-tests Add new test for handoff API (#16492) 2024-05-28 12:57:51 -07:00
integration-tests-ex Add ability to turn off Druid Catalog specific validation done on catalog defined tables in Druid (#16465) 2024-05-23 13:19:51 -04:00
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publications De-incubation cleanup in code, docs, packaging (#9108) 2020-01-03 12:33:19 -05:00
server Fix retry logic in `BrokerClient` and flakey `BrokerClientTest` (#16618) 2024-06-17 12:48:15 -07:00
services Add interface method for returning canonical lookup name (#16557) 2024-06-05 14:33:18 -07:00
sql Deserialize dimensions in group by queries to their respective types when reading from their serialized format (#16511) 2024-06-14 16:27:47 +08:00
web-console Web console: fix pagination and filtering regression in supervisor view (#16571) 2024-06-07 21:09:51 +05:30
website docs: fix redirect (#16548) 2024-06-14 09:54:16 +08:00
.asf.yaml .asf.yaml: Add required "repository" field. (#14499) 2023-06-28 15:05:07 -07:00
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LABELS Fixing security vulnerability check errors (#13956) 2023-03-23 11:10:06 +05:30
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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 web console (shown below).

Load data

data loader Kafka

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

management

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

query view combo

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

See the latest documentation for the documentation for the current official release. If you need information on a previous release, you can browse previous releases documentation.

Make documentation and tutorials updates in /docs using Markdown or extended Markdown (MDX). Then, open a pull request.

To build the site locally, you need Node 16.14 or higher and to install Docusaurus 2 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 druid-website-src repo.

Community

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 users can find help in the druid-user mailing list on Google Groups, and have more technical conversations in #troubleshooting on Slack.
  • Druid development discussions take place in the druid-dev mailing list (dev@druid.apache.org). Subscribe by emailing dev-subscribe@druid.apache.org. 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 apache/druid-website-src repository.

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

License

Apache License, Version 2.0