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Apache Druid: a high performance real-time analytics database.
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Charles Allen 188a4bc89a Revert "Optionally intern ServerInventoryView inventory objects. (#3238)" (#3286) 
This reverts commit a931debf79.
Fixes #3283

The core issue here is that realtime nodes announce their size as 0, so a coordinator which interns the realtime version of the data segment will not be able to see the new sized announcement when handoff occurs.

This is caused by the `eauals` method on a `DataSegment` only evaluating the identifier. the `eauals` method *should* be correct for object equivalence, and things which need to check equivalence of some sub-portion of the object should do so explicitly.
 		2016-07-26 11:47:34 -07:00
api Add timestampSpec to metadata.drd and SegmentMetadataQuery (#3227) 2016-07-25 15:45:30 -07:00
aws-common Update master version to 0.9.2-SNAPSHOT. (#3133) 2016-06-13 13:10:38 -07:00
benchmarks Support filtering on long columns (including __time) (#3180) 2016-07-20 17:08:49 -07:00
common Alternative groupBy strategy. (#2998) 2016-06-24 18:06:09 -07:00
distribution Distribution: pull-deps compiled hadoop version (#3044) 2016-07-18 09:39:15 -07:00
docs Hadoop InputRowParser for Orc file (#3019) 2016-07-26 09:42:56 -07:00
examples Quickstart: Use hadoopyString for batch indexing instead of string. (#3263) 2016-07-19 10:18:10 -07:00
extensions-contrib Hadoop InputRowParser for Orc file (#3019) 2016-07-26 09:42:56 -07:00
extensions-core Caffeine cache extension (#3028) 2016-07-06 15:42:54 -07:00
indexing-hadoop Add timestampSpec to metadata.drd and SegmentMetadataQuery (#3227) 2016-07-25 15:45:30 -07:00
indexing-service change expected response from ACCEPTED to OK (#3280) 2016-07-23 19:48:30 -07:00
integration-tests Make integration test dependency copy run in batch mode (#3152) 2016-06-16 18:44:15 -07:00
processing Fix #2782, Unit test failed for DruidProcessingConfigTest.testDeserialization (#3231) 2016-07-25 15:51:09 -07:00
publications Support min/max values for metadata query (#2208) 2016-02-12 09:35:58 +09:00
server Revert "Optionally intern ServerInventoryView inventory objects. (#3238)" (#3286) 2016-07-26 11:47:34 -07:00
services add comment for default hadoop coordinates (#3257) 2016-07-18 15:23:11 -07:00
.gitignore move distribution artifacts to distribution/target 2015-10-30 12:40:05 -05:00
.travis.yml Disable cobertura travis portion (#3122) 2016-06-13 12:27:35 +05:30
CONTRIBUTING.md Add doc link to eclipse formatting settings as well (#3131) 2016-06-24 15:27:50 -07:00
DruidCorporateCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
DruidIndividualCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
LICENSE Clean up README and license 2015-02-18 23:09:28 -08:00
NOTICE Two-stage filtering (#3018) 2016-06-22 16:08:21 -07:00
README.md update readme (#2830) 2016-04-13 11:33:31 -07:00
druid_intellij_formatting.xml Make formatting IntelliJ 2016 friendly (#2978) 2016-05-18 12:42:21 -07:00
eclipse.importorder Merge pull request #2905 from javasoze/eclipse_formatting 2016-04-29 18:42:03 -07:00
eclipse_formatting.xml Merge pull request #2905 from javasoze/eclipse_formatting 2016-04-29 18:42:03 -07:00
pom.xml Hadoop InputRowParser for Orc file (#3019) 2016-07-26 09:42:56 -07:00
upload.sh upload.sh: Use awscli if s3cmd is not available. (#3114) 2016-06-08 17:01:46 -07:00

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.