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Apache Druid: a high performance real-time analytics database.
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Goh Wei Xiang 2c30d5ba55 Add org.joda.time.DateTime.parse() to forbidden APIs (#4857) 
* Added org.joda.time.DateTime#(java.lang.String) to forbidden API.

* Added org.joda.time.DateTime#(java.lang.String, org.joda.time.format.DateTimeFormatter) to forbidden API.

* Add additional APIs that may create DateTime with default time zone

* Add helper function that accepts formatter to parse String.

* Add additional forbidden APIs

* Replace existing usage of forbidden APIs

* Use wrapper class to enforce Chronology on DateTimeFormatter.

* Creates constant UtcFormatter for constant ISODateTimeFormat.
 		2017-09-27 17:46:44 -05:00
.idea Prohibit for loops which could be foreach with IntelliJ (#4653) 2017-08-08 18:05:33 -07:00
api Add org.joda.time.DateTime.parse() to forbidden APIs (#4857) 2017-09-27 17:46:44 -05:00
aws-common Make AWSCredentialsConfig use PasswordProvider for the string matter (#4613) 2017-07-29 15:48:49 -07:00
benchmarks Add flattenSpec support to the Avro parser. (#4832) 2017-09-26 09:26:06 -07:00
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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.