Kamal Gurala dcb07d6958 Option to configure default analysis types in SegmentMetadataQuery (#4259)
* Option to configure default analysis types

* Updated Docs and renamed

* Added serde tests and Null handling

* Fixed Documentation

* Updated implementation

* Updated implementation

* Updated implementation

* Added usingDefaultIntervals in Builder

* Updated implementation

* Updated implementation and added failing test

* filterSegments implementation updated

* Updated imlementation

* Padding

* Add missing Override

* Updated implementation

* Fixed a naming bug

* Fixed bug

* Removed comment
2017-05-26 12:12:39 -07:00
2017-05-25 16:13:04 -05:00
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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.

Description
Apache Druid: a high performance real-time analytics database.
Readme Apache-2.0 733 MiB
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