Apache Druid: a high performance real-time analytics database.
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Optimization for expressions that hit a single long column. (#6599)
* Optimization for expressions that hit a single long column.

There was previously a single-long-input optimization that applied only
to the time column. These have been combined together. Also adds
type-specific value caching to ExprEval, which allowed simplifying
the SingleLongInputCachingExpressionColumnValueSelector code.

* Add more benchmarks.

* Don't use LRU cache for __time.

* Simplify a bit.

* Let the cache grow.
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README.md

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Apache Druid (incubating)

Apache Druid (incubating) is a high performance analytics data store for event-driven data.

Disclaimer: Apache Druid is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

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

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.