Apache Druid: a high performance real-time analytics database.
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Gian Merlino 985203b634 Finalize fields in postaggs (#3957)
* initial commits for finalizeFieldAccess #2433

* fix some bugs to run a query

* change name of method Queries.verifyAggregations to Queries.prepareAggregations

* add Uts

* fix Ut failures

* rebased to master

* address comments and add a Ut for arithmetic post aggregators

* rebased to the master

* address the comment of injection within arithmetic post aggregator

* address comments and introduce decorate() in the PostAggregator interface.

* Address comments. 1. Implements getComparator in FinalizingFieldAccessPostAggregator and add Uts for it 2. Some minor changes like renaming a method name.

* Fix a code style mismatch.

* Rebased to the master
2017-02-21 16:32:14 -08:00
api disable javascript execution by default (#3818) 2017-02-13 15:11:18 -08:00
aws-common Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
benchmarks Removing Integer.MAX column size limit. (#3743) 2017-02-16 20:09:43 -06:00
bytebuffer-collections Optimizations of union, intersection and iterators of concise bitsets (part of #3798) (#3883) 2017-02-10 18:02:26 -08:00
codestyle Migrating extendedset from Metamarkets. (#3694) 2017-01-17 10:10:27 -08:00
common Fine grained buffer management for groupby (#3863) 2017-02-14 12:55:54 -08:00
distribution Require Java 8 and include some Java 8 dependencies. (#3914) 2017-02-14 12:51:51 -08:00
docs Use GroupBy V2 as default (#3953) 2017-02-18 07:40:40 -08:00
examples Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
extendedset Optimizations of union, intersection and iterators of concise bitsets (part of #3798) (#3883) 2017-02-10 18:02:26 -08:00
extensions-contrib New property for each metric that tells the StatsDEmitter to convert metric values from range 0-1 to 0-100. This (#3936) 2017-02-16 13:55:56 -08:00
extensions-core Finalize fields in postaggs (#3957) 2017-02-21 16:32:14 -08:00
hll pre-computed HLL support for hyperUnique aggregator (#3909) 2017-02-13 15:26:20 -08:00
indexing-hadoop Removing Integer.MAX column size limit. (#3743) 2017-02-16 20:09:43 -06:00
indexing-service fix numShards = -1 not being handled correctly (#3937) 2017-02-14 18:45:38 -08:00
integration-tests Bump version to 0.10.0-SNAPSHOT. (#3913) 2017-02-06 17:54:35 -08:00
java-util Fine grained buffer management for groupby (#3863) 2017-02-14 12:55:54 -08:00
processing Finalize fields in postaggs (#3957) 2017-02-21 16:32:14 -08:00
publications Changes to lambda architecture paper required for HICSS (#3382) 2016-09-06 21:32:21 -07:00
server CachingClusteredClientTest: Use groupBy v1. (#3958) 2017-02-21 16:53:34 -06:00
services Require Java 8 and include some Java 8 dependencies. (#3914) 2017-02-14 12:51:51 -08:00
sql SQL: Resolve column type conflicts in favor of newer segments. (#3930) 2017-02-15 17:48:49 -08:00
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CONTRIBUTING.md Add doc link to eclipse formatting settings as well (#3131) 2016-06-24 15:27:50 -07:00
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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.