Apache Druid: a high performance real-time analytics database.
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Roman Leventov 38000576ea Optimizations of union, intersection and iterators of concise bitsets (part of #3798) (#3883)
* Port of metamx/extendedset#10, metamx/extendedset#13, metamx/extendedset#14, metamx/extendedset#15, metamx/bytebuffer-collections@9b199e3349, metamx/bytebuffer-collections#38 to Druid, remove unused code from extendedset module

* Remove ConciseSet.modCount

* Replace comments with assertions in ImmutableConciseSet

* Fix comments

* Fix asssertions in ImmutableConciseSet

* Add tests

* Comment fix
2017-02-10 18:02:26 -08:00
api Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
aws-common Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
benchmarks Add long/float ColumnSelectorStrategy implementations (#3838) 2017-02-08 20:39:29 -08:00
bytebuffer-collections Optimizations of union, intersection and iterators of concise bitsets (part of #3798) (#3883) 2017-02-10 18:02:26 -08:00
codestyle Migrating extendedset from Metamarkets. (#3694) 2017-01-17 10:10:27 -08:00
common Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
distribution Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
docs Add long/float ColumnSelectorStrategy implementations (#3838) 2017-02-08 20:39:29 -08:00
examples Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
extendedset Optimizations of union, intersection and iterators of concise bitsets (part of #3798) (#3883) 2017-02-10 18:02:26 -08:00
extensions-contrib Add long/float ColumnSelectorStrategy implementations (#3838) 2017-02-08 20:39:29 -08:00
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pom.xml Optimizations of union, intersection and iterators of concise bitsets (part of #3798) (#3883) 2017-02-10 18:02:26 -08:00
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README.md

Build Status Coverage Status

Druid

Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments.

Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.

Druid can load both streaming and batch data and integrates with Samza, Kafka, Storm, Spark, and Hadoop.

License

Apache License, Version 2.0

More Information

More information about Druid can be found on http://www.druid.io.

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/content in this repository and submit a pull request.

Getting Started

You can get started with Druid with our quickstart.

Reporting Issues

If you find any bugs, please file a GitHub issue.

Community

Community support is available on the druid-user mailing list(druid-user@googlegroups.com).

Development discussions occur on the druid-development list(druid-development@googlegroups.com).

We also have a couple people hanging out on IRC in #druid-dev on irc.freenode.net.

Contributing

Please follow the guidelines listed here.