Gian Merlino 2ce8123bdb Move scan-query from a contrib extension into core. (#4751)
* Move scan-query from a contrib extension into core.

Based on a proposal at: https://groups.google.com/d/topic/druid-development/ME_OatUDnbk/discussion

This patch also adds support for virtual columns to the Scan query,
and updates Druid SQL to use Scan instead of Select.

This patch also makes some behavioral changes to handling of the __time
column. In particular, it is now is returned as "__time" rather than
"timestamp"; it is no longer included if you do not specifically ask for
it in your "columns"; and it is returned as a long rather than a string.

Users can revert time handling to the legacy extension behavior by
setting "legacy" : true in their queries, or setting the property
druid.query.scan.legacy = true. This is meant to provide a migration
path for users that were formerly using the contrib extension.

* Adjustments from review.

* Add back Select query.

* Adjust SQL docs.

* Restore SelectQuery link.
2017-09-13 09:51:24 -07:00
2017-09-12 11:49:08 -07:00
2017-06-16 19:27:46 -07:00
2015-02-18 23:09:28 -08:00

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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.
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