197c54f673
Description: Compaction operations issued by the Coordinator currently run using the native query engine. As majority of the advancements that we are making in batch ingestion are in MSQ, it is imperative that we support compaction on MSQ to make Compaction more robust and possibly faster. For instance, we have seen OOM errors in native compaction that MSQ could have handled by its auto-calculation of tuning parameters. This commit enables compaction on MSQ to remove the dependency on native engine. Main changes: * `DataSourceCompactionConfig` now has an additional field `engine` that can be one of `[native, msq]` with `native` being the default. * if engine is MSQ, `CompactSegments` duty assigns all available compaction task slots to the launched `CompactionTask` to ensure full capacity is available to MSQ. This is to avoid stalling which could happen in case a fraction of the tasks were allotted and they eventually fell short of the number of tasks required by the MSQ engine to run the compaction. * `ClientCompactionTaskQuery` has a new field `compactionRunner` with just one `engine` field. * `CompactionTask` now has `CompactionRunner` interface instance with its implementations `NativeCompactinRunner` and `MSQCompactionRunner` in the `druid-multi-stage-query` extension. The objectmapper deserializes `ClientCompactionRunnerInfo` in `ClientCompactionTaskQuery` to the `CompactionRunner` instance that is mapped to the specified type [`native`, `msq`]. * `CompactTask` uses the `CompactionRunner` instance it receives to create the indexing tasks. * `CompactionTask` to `MSQControllerTask` conversion logic checks whether metrics are present in the segment schema. If present, the task is created with a native group-by query; if not, the task is issued with a scan query. The `storeCompactionState` flag is set in the context. * Each created `MSQControllerTask` is launched in-place and its `TaskStatus` tracked to determine the final status of the `CompactionTask`. The id of each of these tasks is the same as that of `CompactionTask` since otherwise, the workers will be unable to determine the controller task's location for communication (as they haven't been launched via the overlord). |
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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
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