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* InputRowParser to decode OrcStruct from OrcNewInputFormat * add unit test for orc hadoop indexing * update docs and fix test code bug * doc updated * resove maven dependency conflict * remove unused imports * fix returning array type from Object[] to correct primitive array type * fix to support getDimension() of MapBasedRow : changing return type of orc list from array to list * rebase and updated based on comments * updated based on comments * on reflecting review comments * fix bug in typeStringFromParseSpec() and add unit test * add license header |
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| aws-common | ||
| benchmarks | ||
| common | ||
| distribution | ||
| docs | ||
| examples | ||
| extensions-contrib | ||
| extensions-core | ||
| indexing-hadoop | ||
| indexing-service | ||
| integration-tests | ||
| processing | ||
| publications | ||
| server | ||
| services | ||
| .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.