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Apache Druid: a high performance real-time analytics database.
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Jonathan Wei b234a119ac Log exceptions thrown before persist() for indexing tasks (#5374) 
* Log exceptions thrown before persist() for indexing tasks

* PR comment
 		2018-02-13 09:20:07 -08:00
.idea Check Javadoc reference integrity (#5279) 2018-01-22 13:51:28 -08:00
api Update versions to 0.13.0-SNAPSHOT. (#5323) 2018-02-02 12:06:38 -06:00
aws-common Update versions to 0.13.0-SNAPSHOT. (#5323) 2018-02-02 12:06:38 -06:00
benchmarks Add a new config object for compactConfig (#5264) 2018-02-06 12:13:52 -08:00
ci Add TeamCity instructions (#5379) 2018-02-10 13:13:33 -08:00
codestyle Standartize on using Integer.BYTES instead of Ints.BYTES from Guava, same for other primitives (#5366) 2018-02-07 13:24:30 -08:00
common Standartize on using Integer.BYTES instead of Ints.BYTES from Guava, same for other primitives (#5366) 2018-02-07 13:24:30 -08:00
distribution Update versions to 0.13.0-SNAPSHOT. (#5323) 2018-02-02 12:06:38 -06:00
docs Fix typo: change partitioningSpec to partitionsSpec in design/segments (#5376) 2018-02-12 11:03:40 -08:00
examples Update versions to 0.13.0-SNAPSHOT. (#5323) 2018-02-02 12:06:38 -06:00
extendedset Standartize on using Integer.BYTES instead of Ints.BYTES from Guava, same for other primitives (#5366) 2018-02-07 13:24:30 -08:00
extensions-contrib Standartize on using Integer.BYTES instead of Ints.BYTES from Guava, same for other primitives (#5366) 2018-02-07 13:24:30 -08:00
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hll Update versions to 0.13.0-SNAPSHOT. (#5323) 2018-02-02 12:06:38 -06:00
indexing-hadoop Standartize on using Integer.BYTES instead of Ints.BYTES from Guava, same for other primitives (#5366) 2018-02-07 13:24:30 -08:00
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processing Standartize on using Integer.BYTES instead of Ints.BYTES from Guava, same for other primitives (#5366) 2018-02-07 13:24:30 -08:00
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intellij-sdk-config.jpg Prohibit and remove unused declarations in the processing module (#4930) 2017-11-09 09:27:27 -08:00
pom.xml Use both Joad Ids and Java IDs as Timezone to string readers (#5349) 2018-02-06 16:34:11 +05:30
upload.sh upload.sh: Use awscli if s3cmd is not available. (#3114) 2016-06-08 17:01:46 -07:00

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.