38ecf980d0
* Kill duty and test improvements. Initial commit with: - Bug fixes - auto-kill can throw NPE when there are no datasources present and defaults mismatch. - Add new stat for candidate segment intervals killed. - Move a couple of debug logs to info logs for improved visibility (should only log once per kill period). - Remove redundant checks for code readability. - Updated tests from using mocks (also the mocks weren't using last updated timestamp) and add more test coverage for different config parameters. - Add a couple of unit tests that are ignored for the eternity case to prove that the kill duty doesn't clean up segments with ALL grain or that end in DateTimes.MAX. - Migrate Druid exception from user to operator persona. * Address review comments. * Remove unused methods. * fix up format specifier and validate bad config tests. * Consolidate the helpers a bit more and add another test. * Update test names. Add javadoc placeholders for slightly involved tests. * Add docs for metric kill/candidateUnusedSegments/count. Also, rename to disambiguate. * Comments. * Apply logging suggestions from code review Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com> * Review comments - Clarify docs on eligibility. - Add test for multiple segments in the same interval. Clarify comment. - Remove log line from test. - Remove lastUpdatedDate = now.plus(10) from test. * minor cleanup. * Clarify javadocs for getUnusedSegmentIntervals(). --------- Co-authored-by: Kashif Faraz <kashif.faraz@gmail.com> |
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README.md
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| 🔍 CodeQL |  |
| 🕒 Cron Job ITS |  |
| 🏷️ Labeler |  |
| ♻️ Reusable Revised ITS |  |
| ♻️ Reusable Standard ITS |  |
| ♻️ Reusable Unit Tests |  |
| 🔄 Revised ITS |  |
| 🔧 Standard ITS |  |
| 🛠️ Static Checks |  |
| 🧪 Unit and Integration Tests Unified |  |
| 🔬 Unit Tests |  |
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 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-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