Apache Druid: a high performance real-time analytics database.
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Kashif Faraz 9b192bd5a2
add CursorHolder.isPreAggregated method to allow cursors on pre-aggregated data (#17058) (#17205)
changes:
* CursorHolder.isPreAggregated method indicates that a cursor has pre-aggregated data for all AggregatorFactory specified in a CursorBuildSpec. If true, engines should rewrite the query to use AggregatorFactory.getCombiningAggreggator, and column selector factories will provide selectors with the aggregator interediate type for the aggregator factory name
* Added groupby, timeseries, and topN support for CursorHolder.isPreAggregated
* Added synthetic test since no CursorHolder implementations support isPreAggregated at this point in time

Co-authored-by: Clint Wylie <cwylie@apache.org>
2024-10-01 15:33:16 +05:30
.github Revised IT to detect backward incompatible change (#16779) 2024-08-07 11:13:35 +05:30
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benchmarks Incorporate `estimatedComputeCost` into all `BitmapColumnIndex` classes. (#17125) (#17172) 2024-09-30 02:24:05 -07:00
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extensions-core Add support for selective loading of broadcast datasources in the task layer (#17027) (#17206) 2024-10-01 11:09:52 +05:30
hooks Git hooks should fail on errors; pass args to git hooks (#12322) 2022-03-10 09:07:50 +09:00
indexing-hadoop transition away from StorageAdapter (#16985) (#17024) 2024-09-09 21:43:41 -07:00
indexing-service Add support for selective loading of broadcast datasources in the task layer (#17027) (#17206) 2024-10-01 11:09:52 +05:30
integration-tests [Backport] Allow MSQ engine only for compaction supervisors (#17033) (#17143) 2024-09-25 09:29:00 +05:30
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processing add CursorHolder.isPreAggregated method to allow cursors on pre-aggregated data (#17058) (#17205) 2024-10-01 15:33:16 +05:30
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server Add support for selective loading of broadcast datasources in the task layer (#17027) (#17206) 2024-10-01 11:09:52 +05:30
services Add support for selective loading of broadcast datasources in the task layer (#17027) (#17206) 2024-10-01 11:09:52 +05:30
sql Window Functions : Context Parameter to Enable Transfer of RACs over wire (#17150) (#17182) 2024-09-30 10:35:14 +05:30
web-console [Backport] console work to 31 (#16991, #17132, #17133, #17135, #17180) (#17200) 2024-10-01 09:07:03 +05:30
website Support for reading Delta Lake table snapshots (#17004) 2024-09-09 14:12:48 +05:30
.asf.yaml .asf.yaml: Add required "repository" field. (#14499) 2023-06-28 15:05:07 -07:00
.backportrc.json Add 0.18.0 to .backportrc.json to facilitate backport. (#9661) 2020-04-11 13:49:04 -07:00
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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