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Apache Druid: a high performance real-time analytics database.
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praveev 67d0ae3271 Let toDateTime call fall through for Duration Granularity (#4001) 
* Let toDateTime call fall through for Duration Granularity

Added test for the same.

* Add duration granularity test to GroupByQueryRunnerTest
 		2017-03-03 13:27:22 -06:00
api Namespace optimization for hdfs data segments. (#3877) 2017-03-01 09:51:20 -08:00
aws-common Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
benchmarks Add default configuration for select query 'fromNext' parameter (#3986) 2017-03-01 17:05:35 -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 Checkstyle rule to outlaw tabs. (#3988) 2017-02-28 23:52:53 -08:00
common LifecycleLock for better synchronization in lifecycled objects (#3964) 2017-03-02 12:22:57 -08:00
distribution Require Java 8 and include some Java 8 dependencies. (#3914) 2017-02-14 12:51:51 -08:00
docs support singleThreaded flag for groupBy-v2 as well (#3992) 2017-03-03 23:43:06 +05:30
examples Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
extendedset Checkstyle rule to outlaw tabs. (#3988) 2017-02-28 23:52:53 -08:00
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extensions-core TmpFileIOPeons to create files under the merging output directory, instead of java.io.tmpdir (#3990) 2017-03-02 14:05:12 -08:00
hll pre-computed HLL support for hyperUnique aggregator (#3909) 2017-02-13 15:26:20 -08:00
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indexing-service LifecycleLock for better synchronization in lifecycled objects (#3964) 2017-03-02 12:22:57 -08:00
integration-tests Checkstyle rule to outlaw tabs. (#3988) 2017-02-28 23:52:53 -08:00
java-util Let toDateTime call fall through for Duration Granularity (#4001) 2017-03-03 13:27:22 -06:00
processing Let toDateTime call fall through for Duration Granularity (#4001) 2017-03-03 13:27:22 -06:00
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services TmpFileIOPeons to create files under the merging output directory, instead of java.io.tmpdir (#3990) 2017-03-02 14:05:12 -08:00
sql SQL: Ability to generate exact distinct count queries. (#3999) 2017-03-03 23:40:36 +05:30
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CONTRIBUTING.md Add doc link to eclipse formatting settings as well (#3131) 2016-06-24 15:27:50 -07:00
DruidCorporateCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
DruidIndividualCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
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NOTICE Migrating extendedset from Metamarkets. (#3694) 2017-01-17 10:10:27 -08:00
README.md update readme (#2830) 2016-04-13 11:33:31 -07:00
druid_intellij_formatting.xml Make formatting IntelliJ 2016 friendly (#2978) 2016-05-18 12:42:21 -07:00
eclipse.importorder Merge pull request #2905 from javasoze/eclipse_formatting 2016-04-29 18:42:03 -07:00
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pom.xml BACKEND-564: Emitter upgrade from 0.4.0 to 0.4.1 (#3977) 2017-03-01 13:03:01 -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.