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apache / druid / 041d0bff5e0c983660a8eaaf72fd3b9aedf9f976
commit041d0bff5e0c983660a8eaaf72fd3b9aedf9f976[log] [tgz]
authorAbhishek Radhakrishnan <abhishek.rb19@gmail.com>Sun Apr 14 18:56:17 2024 -0700
committerGitHub <noreply@github.com>Sun Apr 14 18:56:17 2024 -0700
tree717c9e5c9fd4376504397eae4f993cbdc23c2544
parentb0c5184f9d64499508ef3deb2e5363eb1c47da5e [diff]
Set default `KillUnusedSegments` duty to coordinator's indexing period & `killTaskSlotRatio` to 0.1 (#16247)

The default value for druid.coordinator.kill.period (if unspecified) has changed from P1D to the value of druid.coordinator.period.indexingPeriod. Operators can choose to override druid.coordinator.kill.period and that will take precedence over the default behavior.
The default value for the coordinator dynamic config killTaskSlotRatio is updated from 1.0 to 0.1. This ensures that that kill tasks take up only 1 task slot right out-of-the-box instead of taking up all the task slots.

* Remove stale comment and inline canDutyRun()

* druid.coordinator.kill.period defaults to druid.coordinator.period.indexingPeriod if not set.

- Remove the default P1D value for druid.coordinator.kill.period. Instead default
  druid.coordinator.kill.period to whatever value druid.coordinator.period.indexingPeriod is set
  to if the former config isn't specified.
- If druid.coordinator.kill.period is set, the value will take precedence over
  druid.coordinator.period.indexingPeriod

* Update server/src/test/java/org/apache/druid/server/coordinator/DruidCoordinatorConfigTest.java

* Fix checkstyle error

* Clarify comment

* Update server/src/main/java/org/apache/druid/server/coordinator/DruidCoordinatorConfig.java

* Put back canDutyRun()

* Default killTaskSlotsRatio to 0.1 instead of 1.0 (all slots)

* Fix typo DEFAULT_MAX_COMPACTION_TASK_SLOTS

* Remove unused test method.

* Update default value of killTaskSlotsRatio in docs and web-console default mock

* Move initDuty() after params and config setup.
11 files changed
tree: 717c9e5c9fd4376504397eae4f993cbdc23c2544
  1. .github/
  2. .idea/
  3. benchmarks/
  4. cloud/
  5. codestyle/
  6. dev/
  7. distribution/
  8. docs/
  9. examples/
  10. extensions-contrib/
  11. extensions-core/
  12. hooks/
  13. indexing-hadoop/
  14. indexing-service/
  15. integration-tests/
  16. integration-tests-ex/
  17. licenses/
  18. processing/
  19. publications/
  20. server/
  21. services/
  22. sql/
  23. web-console/
  24. website/
  25. .asf.yaml
  26. .backportrc.json
  27. .codecov.yml
  28. .dockerignore
  29. .gitignore
  30. .lgtm.yml
  31. check_test_suite.py
  32. check_test_suite_test.py
  33. CONTRIBUTING.md
  34. doap_Druid.rdf
  35. it.sh
  36. LABELS
  37. LICENSE
  38. licenses.yaml
  39. NOTICE
  40. owasp-dependency-check-suppressions.xml
  41. pom.xml
  42. README.md
  43. README.template
  44. rewrite.yml
  45. upload.sh
README.md

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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