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* Conversion from taskId to workerNumber in the workerClient * storage connector changes, suffix file when finish writing to it * Fix tests * Trigger Build * convert IntFunction to a dedicated interface * first review round * use a dummy file to indicate success * fetch the first filename from the list in case of multiple files * tests working, fix semantic issue with ls * change how the success flag works * comments, checkstyle, method rename * fix test * forbiddenapis fix * Trigger Build * change the writer * dead store fix * Review comments * revert changes * review * review comments * Update extensions-core/multi-stage-query/src/main/java/org/apache/druid/msq/shuffle/DurableStorageInputChannelFactory.java Co-authored-by: Karan Kumar <karankumar1100@gmail.com> * Update extensions-core/multi-stage-query/src/main/java/org/apache/druid/msq/shuffle/DurableStorageInputChannelFactory.java Co-authored-by: Karan Kumar <karankumar1100@gmail.com> * update error messages * better error messages * fix checkstyle Co-authored-by: Karan Kumar <karankumar1100@gmail.com> |
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README.md
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