d3a3b7ba0c
* Add virtual column types, holder serde, and safety features. Virtual columns: - add long, float, dimension selectors - put cache IDs in VirtualColumnCacheHelper - adjust serde so VirtualColumns can be the holder object for Jackson - add fail-fast validation for cycle detection and duplicates - add expression virtual column in core Storage adapters: - move virtual column hooks before checking base columns, to prevent surprises when a new base column is added that happens to have the same name as a virtual column. * Fix ExtractionDimensionSpecs with virtual dimensions. * Fix unused imports. * CR comments * Merge one more time, with feeling. |
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api | ||
aws-common | ||
benchmarks | ||
bytebuffer-collections | ||
codestyle | ||
common | ||
distribution | ||
docs | ||
examples | ||
extendedset | ||
extensions-contrib | ||
extensions-core | ||
indexing-hadoop | ||
indexing-service | ||
integration-tests | ||
java-util | ||
processing | ||
publications | ||
server | ||
services | ||
sql | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
DruidCorporateCLA.pdf | ||
DruidIndividualCLA.pdf | ||
LICENSE | ||
NOTICE | ||
README.md | ||
druid_intellij_formatting.xml | ||
eclipse.importorder | ||
eclipse_formatting.xml | ||
pom.xml | ||
upload.sh |
README.md
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
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.