Apache Druid: a high performance real-time analytics database.
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Jihoon Son 7889891bd3 Fix integration tests (#4337)
* Fix integration tests

1) Use the same version of kafka
2) Change ServiceEmitter from LazySingleton to ManageLifecycle

* Revert unnecessary change
2017-05-28 08:48:39 -07:00
api Add support for HttpFirehose (#4297) 2017-05-25 16:13:04 -05:00
aws-common Update versions to 0.10.1-SNAPSHOT. (#4191) 2017-04-20 18:12:28 -07:00
benchmarks Timeout and maxScatterGatherBytes handling for queries run by Druid SQL (#4305) 2017-05-23 16:57:51 +09:00
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common Replace usages of CountingMap with Object2LongMap (#4320) 2017-05-24 17:40:32 -07:00
distribution do not use --clean option when using bundle-contrib-exts profile so that core extensions are not wiped out (#4223) 2017-05-08 14:26:16 -05:00
docs Option to configure default analysis types in SegmentMetadataQuery (#4259) 2017-05-26 12:12:39 -07:00
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extensions-contrib Add PrefetchableTextFilesFirehoseFactory for cloud storage types (#4193) 2017-05-18 15:37:18 +09:00
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hll Update versions to 0.10.1-SNAPSHOT. (#4191) 2017-04-20 18:12:28 -07:00
indexing-hadoop Replace usages of CountingMap with Object2LongMap (#4320) 2017-05-24 17:40:32 -07:00
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integration-tests Fix integration tests (#4337) 2017-05-28 08:48:39 -07:00
java-util Replace usages of CountingMap with Object2LongMap (#4320) 2017-05-24 17:40:32 -07:00
processing Option to configure default analysis types in SegmentMetadataQuery (#4259) 2017-05-26 12:12:39 -07:00
publications Changes to lambda architecture paper required for HICSS (#3382) 2016-09-06 21:32:21 -07:00
server Server selector improvement (#4315) 2017-05-26 11:02:09 -05:00
services Improve concurrency of SegmentManager (#4298) 2017-05-24 04:41:24 +09:00
sql Timeout and maxScatterGatherBytes handling for queries run by Druid SQL (#4305) 2017-05-23 16:57:51 +09:00
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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.