9177419628
* Moving all unnest cursor code atop refactored code for unnest * Updating unnest cursor * Removing dedup and fixing up some null checks * AllowList changes * Fixing some NPEs * Using bitset for allowlist * Updating the initialization only when cursor is in non-done state * Updating code to skip rows not in allow list * Adding a flag for cases when first element is not in allowed list * Updating for a null in allowList * Splitting unnest cursor into 2 subclasses * Intercepting some apis with columnName for new unnested column * Adding test cases and renaming some stuff * checkstyle fixes * Moving to an interface for Unnest * handling null rows in a dimension * Updating cursors after comments part-1 * Addressing comments and adding some more tests * Reverting a change to ScanQueryRunner and improving a comment * removing an unused function * Updating cursors after comments part 2 * One last fix for review comments * Making some functions private, deleting some comments, adding a test for unnest of unnest with allowList * Adding an exception for a case * Closure for unnest data source * Adding some javadocs * One minor change in makeDimSelector of columnarCursor * Updating an error message * Update processing/src/main/java/org/apache/druid/segment/DimensionUnnestCursor.java Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com> * Unnesting on virtual columns was missing an object array, adding that to support virtual columns unnesting * Updating exceptions to use UOE * Renamed files, added column capability test on adapter, return statement and made unnest datasource not cacheable for the time being * Handling for null values in dim selector * Fixing a NPE for null row * Updating capabilities * Updating capabilities Co-authored-by: Abhishek Agarwal <1477457+abhishekagarwal87@users.noreply.github.com>
Website | Twitter | Download | Get Started | Documentation | Community | Build | Contribute | License
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
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
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 and contribute them using a pull request.
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-usermailing list on Google Groups, and have more technical conversations in#troubleshootingon Slack. - Druid development discussions take place in the
druid-devmailing list (dev@druid.apache.org). Subscribe by emailing dev-subscribe@druid.apache.org. For live conversations, join the#devchannel 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