ec17a44e09
* Add result level caching to Brokers * Minor doc changes * Simplify sequences * Move etag execution * Modify cacheLimit criteria * Fix incorrect etag computation * Fix docs * Add separate query runner for result level caching * Update docs * Add post aggregated results to result level cache * Fix indents * Check byte size for exceeding cache limit * Fix indents * Fix indents * Add flag for result caching * Remove logs * Make cache object generation synchronous * Avoid saving intermediate cache results to list * Fix changes that handle etag based response * Release bytestream after use * Address PR comments * Discard resultcache stream after use * Fix docs * Address comments * Add comment about fluent workflow issue |
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| distribution | ||
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| examples | ||
| extendedset | ||
| extensions-contrib | ||
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| hll | ||
| indexing-hadoop | ||
| indexing-service | ||
| integration-tests | ||
| java-util | ||
| processing | ||
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| server | ||
| services | ||
| sql | ||
| .gitignore | ||
| .travis.yml | ||
| CONTRIBUTING.md | ||
| DruidCorporateCLA.pdf | ||
| DruidIndividualCLA.pdf | ||
| INTELLIJ_SETUP.md | ||
| LICENSE | ||
| NOTICE | ||
| README.md | ||
| druid_intellij_formatting.xml | ||
| eclipse.importorder | ||
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| intellij-sdk-config.jpg | ||
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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.