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Apache Druid: a high performance real-time analytics database.
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Himanshu a862cc716f re-implement updation of CoordinatorDynamicConfig to not call manager.watch(..) in its constructor (#4557) 
* re-implement updation of CoordinatorDynamicConfig to not call manager.watch(..) in its constructor

* address review comments
 		2017-07-17 14:33:59 -07:00
.idea Add PMD and prohibit unnecessary fully qualified class names in code (#4350) 2017-07-17 22:22:29 +09:00
api Add PMD and prohibit unnecessary fully qualified class names in code (#4350) 2017-07-17 22:22:29 +09:00
aws-common Add PMD and prohibit unnecessary fully qualified class names in code (#4350) 2017-07-17 22:22:29 +09:00
benchmarks Fix some unnecessary use of boxed types and incorrect format strings spotted by lgtm. (#4474) 2017-07-13 12:15:32 -07:00
bytebuffer-collections Add PMD and prohibit unnecessary fully qualified class names in code (#4350) 2017-07-17 22:22:29 +09:00
ci Run integration tests on travis (#4344) 2017-05-31 18:27:34 -07:00
codestyle Fix some unnecessary use of boxed types and incorrect format strings spotted by lgtm. (#4474) 2017-07-13 12:15:32 -07:00
common Add PMD and prohibit unnecessary fully qualified class names in code (#4350) 2017-07-17 22:22:29 +09:00
distribution adding notice file to distribution (#4522) 2017-07-10 12:59:50 -07:00
docs Make possible to start Peon without DI loading of any querying-related stuff (#4516) 2017-07-12 13:18:25 -05:00
examples Fix some unnecessary use of boxed types and incorrect format strings spotted by lgtm. (#4474) 2017-07-13 12:15:32 -07:00
extendedset Add PMD and prohibit unnecessary fully qualified class names in code (#4350) 2017-07-17 22:22:29 +09:00
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hll Use Double.NEGATIVE_INFINITY and Double.POSITIVE_INFINITY (#4496) 2017-07-07 09:10:13 -06:00
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publications Changes to lambda architecture paper required for HICSS (#3382) 2016-09-06 21:32:21 -07:00
server re-implement updation of CoordinatorDynamicConfig to not call manager.watch(..) in its constructor (#4557) 2017-07-17 14:33:59 -07:00
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README.md

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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.