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Apache Druid: a high performance real-time analytics database.
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Jonathan Wei 2a892709e8 More memory limiting for HttpPostEmitter (#5300) 
* More memory limiting for HttpPostEmitter

* Less aggressive large events test

* Fix tests

* Restrict batch queue size first, keep minimum of 2 queue items
 		2018-01-26 15:48:45 -08:00
.idea Check Javadoc reference integrity (#5279) 2018-01-22 13:51:28 -08:00
api Add metamx emitter, http clients, and metrics packages to druid java-util (#5289) 2018-01-24 22:10:36 +01:00
aws-common Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
benchmarks Add MethodParamPad, OneStatementPerLine and EmptyStatement Checkstyle checks (#5272) 2018-01-18 11:29:23 -08:00
ci Run integration tests on travis (#4344) 2017-05-31 18:27:34 -07:00
codestyle Enforce spacing around foreach colon with Checkstyle (#5271) 2018-01-22 11:48:51 -08:00
common Automatic compaction by coordinators (#5102) 2018-01-13 13:52:37 +09:00
distribution Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
docs More memory limiting for HttpPostEmitter (#5300) 2018-01-26 15:48:45 -08:00
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indexing-hadoop remove unnecessary log that pontetially take up lots of heap (#5286) 2018-01-24 11:30:51 -08:00
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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.