e43e5ebbcd
* implement materialized view * modify code according to jihoonson's comments * modify code according to jihoonson's comments - 2 * add documentation about materialized view * use new HadoopTuningConfig in pr 5583 * add minDataLag and fix optimizer bug * correct value of DEFAULT_MIN_DATA_LAG_MS * modify code according to jihoonson's comments - 3 * use the boolean expression instead of if-else |
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| DruidCorporateCLA.pdf | ||
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| INTELLIJ_SETUP.md | ||
| LICENSE | ||
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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
The Druid community is in the process of migrating to Apache by way of the Apache Incubator. Eventually, as we proceed along this path, our site will move from http://druid.io/ to https://druid.apache.org/.
Community support is available on the druid-user mailing list(druid-user@googlegroups.com), which is hosted at Google Groups.
Development discussions occur on dev@druid.apache.org, which you can subscribe to by emailing dev-subscribe@druid.apache.org.
We also have a couple people hanging out on IRC in #druid-dev on
irc.freenode.net.
Contributing
Please follow the guidelines listed here.