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Apache Druid: a high performance real-time analytics database.
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Jihoon Son cc20260078 Early publishing segments in the middle of data ingestion (#4238) 
* Early publishing segments in the middle of data ingestion

* Remove unnecessary logs

* Address comments

* Refactoring the patch according to #4292 and address comments

* Set the total shard number of NumberedShardSpec to 0

* refactoring

* Address comments

* Fix tests

* Address comments

* Fix sync problem of committer and retry push only

* Fix doc

* Fix build failure

* Address comments

* Fix compilation failure

* Fix transient test failure
 		2017-07-10 22:35:36 -07:00
.idea/inspectionProfiles Enable most IntelliJ 'Probable bugs' inspections (#4353) 2017-06-07 09:54:25 -07:00
api Fix a bug for CSVParser/DelimitedParser when empty column exists in the header row (#4504) 2017-07-07 16:19:25 -07:00
aws-common Update versions to 0.11.0-SNAPSHOT (#4483) 2017-06-28 17:05:58 -07:00
benchmarks Avoid using the default system Locale and printing to System.out in production code (#4409) 2017-06-29 14:06:19 -07:00
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common TLS support (#4270) 2017-07-06 17:40:12 -07:00
distribution adding notice file to distribution (#4522) 2017-07-10 12:59:50 -07:00
docs Early publishing segments in the middle of data ingestion (#4238) 2017-07-10 22:35:36 -07:00
examples Avoid using the default system Locale and printing to System.out in production code (#4409) 2017-06-29 14:06:19 -07:00
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indexing-hadoop TLS support (#4270) 2017-07-06 17:40:12 -07:00
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java-util Fix a bug for CSVParser/DelimitedParser when empty column exists in the header row (#4504) 2017-07-07 16:19:25 -07:00
processing Use Double.NEGATIVE_INFINITY and Double.POSITIVE_INFINITY (#4496) 2017-07-07 09:10:13 -06:00
publications Changes to lambda architecture paper required for HICSS (#3382) 2016-09-06 21:32:21 -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.