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Apache Druid: a high performance real-time analytics database.
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Roman Leventov 535ec437e9 Apply 'power of 2' optimization to BlockLayoutIndexedDoubleSupplier (#5176) 
* Apply 'power of 2' optimization to BlockLayoutIndexedDoubleSupplier; slight optimization of buffer.get() in block layout indexed suppliers

* Fix byte order
 		2018-01-05 16:08:07 +09:00
.idea Add useL2 and populateL2 configs to HybridCache (#5088) 2017-11-20 16:57:05 -06:00
api Support replaceExisting parameter for segments pushers (#5187) 2018-01-03 16:13:21 -08:00
aws-common Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
benchmarks Add IndexedInts.debugToString() and AbstractIndex.toString(); Add Sequence.toList() and limit() (#5175) 2018-01-04 09:56:47 +09:00
bytebuffer-collections Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
ci Run integration tests on travis (#4344) 2017-05-31 18:27:34 -07:00
codestyle Add checkstyle and intellij rule to prohibit unnecessary qualifiers in interfaces (#4958) 2017-10-13 07:56:19 -07:00
common Add IndexedInts.debugToString() and AbstractIndex.toString(); Add Sequence.toList() and limit() (#5175) 2018-01-04 09:56:47 +09:00
distribution Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
docs HTTP based task/worker management. (#5104) 2018-01-04 19:19:35 -08:00
examples fixed missing gz extension from wikiticker json sample (#5194) 2017-12-28 01:02:12 +09:00
extendedset Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
extensions-contrib Add IndexedInts.debugToString() and AbstractIndex.toString(); Add Sequence.toList() and limit() (#5175) 2018-01-04 09:56:47 +09:00
extensions-core Add IndexedInts.debugToString() and AbstractIndex.toString(); Add Sequence.toList() and limit() (#5175) 2018-01-04 09:56:47 +09:00
hll Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -08:00
indexing-hadoop Bump Druid version to 0.12.0 (#5138) 2017-12-15 07:37:01 -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.