aaee72c781
* Fill in the core partition set size properly for batch ingestion with dynamic partitioning * incomplete javadoc * Address comments * fix tests * fix json serde, add tests * checkstyle * Set core partition set size for hash-partitioned segments properly in batch ingestion * test for both parallel and single-threaded task * unused variables * fix test * unused imports * add hash/range buckets * some test adjustment and missing json serde * centralized partition id allocation in parallel and simple tasks * remove string partition chunk * revive string partition chunk * fill numCorePartitions for hadoop * clean up hash stuffs * resolved todos * javadocs * Fix tests * add more tests * doc * unused imports * Allow append to existing datasources when dynamic partitioing is used * fix test * checkstyle * checkstyle * fix test * fix test * fix other tests.. * checkstyle * hansle unknown core partitions size in overlord segment allocation * fail to append when numCorePartitions is unknown * log * fix comment; rename to be more intuitive * double append test * cleanup complete(); add tests * fix build * add tests * address comments * checkstyle |
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README.md
Website | Documentation | Developer Mailing List | User Mailing List | Slack | Twitter | Download
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.
Getting started
You can get started with Druid with our 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 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
You can find the documentation for the latest Druid release on the project website.
If you would like to contribute documentation, please do so under
/docs in this repository and submit a pull request.
Community
Community support is available on the druid-user mailing list, which is hosted at Google Groups.
Development discussions occur on dev@druid.apache.org, which you can subscribe to by emailing dev-subscribe@druid.apache.org.
Chat with Druid committers and users in real-time on the #druid channel in the Apache Slack team. Please use this invitation link to join the ASF Slack, and once joined, go into the #druid channel.
Building from source
Please note that JDK 8 is required to build Druid.
For instructions on building Druid from source, see docs/development/build.md
Contributing
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ dev/intellij-setup.md