Apache Druid: a high performance real-time analytics database.
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Eric Tschetter a36185926e Add "uncoveredIntervals" to responseContext
This change will cause the CachingClusteredClient to populate the "uncoveredIntervals"
key in the responseContext map.  The value will be any intervals that were requested in
the query but are not actually covered by the segments underlying the data source.

For unit testing, CachingClisteredClientTest is testing the caching behavior of the
object and it is pretty hard to adjust it to only test this new behavior, so I created
a new, parallel "CachingClusteredClientFunctionalityTest" to simplify testing just
basic functionality.
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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, 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 latest Druid Documentation 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.

Tutorials

We have a series of tutorials to get started with Druid. If you are just getting started, we suggest going over the first Druid tutorial.

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.