Apache Druid: a high performance real-time analytics database.
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Slim a2584d214a Delagate creation of segmentPath/LoadSpec to DataSegmentPushers and add S3a support (#4116)
* Adding s3a schema and s3a implem to hdfs storage module.

* use 2.7.3

* use segment pusher to make loadspec

* move getStorageDir and makeLoad spec under DataSegmentPusher

* fix uts

* fix comment part1

* move to hadoop 2.8

* inject deep storage properties

* set version to 2.7.3

* fix build issue about static class

* fix comments

* fix default hadoop default coordinate

* fix create filesytem

* downgrade aws sdk

* bump the version
2017-06-04 00:55:09 -06:00
.idea/inspectionProfiles Add Druid inspection profile (#4348) 2017-06-02 06:29:00 +09:00
api Delagate creation of segmentPath/LoadSpec to DataSegmentPushers and add S3a support (#4116) 2017-06-04 00:55:09 -06:00
aws-common Update versions to 0.10.1-SNAPSHOT. (#4191) 2017-04-20 18:12:28 -07:00
benchmarks Fix bugs (core) (#4339) 2017-06-02 06:47:59 +09:00
bytebuffer-collections Fix bugs (core) (#4339) 2017-06-02 06:47:59 +09:00
ci Run integration tests on travis (#4344) 2017-05-31 18:27:34 -07:00
codestyle Add Checkstyle rule to force comments to classes and methods to be Javadoc comments (#4239) 2017-05-04 11:14:41 -07:00
common Replace usages of CountingMap with Object2LongMap (#4320) 2017-05-24 17:40:32 -07:00
distribution Protobuf extension (#4039) 2017-05-30 13:11:58 -07:00
docs Support limit push down for GroupBy (#3873) 2017-06-02 15:39:04 -07:00
examples Delagate creation of segmentPath/LoadSpec to DataSegmentPushers and add S3a support (#4116) 2017-06-04 00:55:09 -06:00
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processing Support limit push down for GroupBy (#3873) 2017-06-02 15:39:04 -07:00
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sql Timeout and maxScatterGatherBytes handling for queries run by Druid SQL (#4305) 2017-05-23 16:57:51 +09:00
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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, 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.