84fe91ba0b
* Monomorphic processing: add HotLoopCallee, CalledFromHotLoop, RuntimeShapeInspector, SpecializationService. Specialize topN queries with 1 or 2 aggregators. Add Cursor.advanceUninterruptibly() and isDoneOrInterrupted() for exception-free query processing. * Use Execs.singleThreaded() * RuntimeShapeInspector to support nullable fields * Make CalledFromHotLoop annotation Inherited * Remove unnecessary conversion of array of ColumnSelectorPluses to list and back to array in CardinalityAggregatorFactory * Close InputStream in SpecializationService * Formatting * Test specialized PooledTopNScanners * Set flags in PooledTopNAlgorithm directly * Fix tests, dependent on CountAggragatorFactory toString() form * Fix * Revert CountAggregatorFactory changes * Implement inspectRuntimeShape() for LongWrappingDimensionSelector and FloatWrappingDimensionSelector * Remove duplicate RoaringBitmap dependency in the extendedset pom.xml * Fix * Treat ByteBuffers specially in StringRuntimeShape * Doc fix * Annotate BufferAggregator.init() with CalledFromHotLoop * Make triggerSpecializationIterationsThreshold an int * Remove SpecializationService.PerPrototypeClassState.of() * Add comments * Limit the amount of specializations that SpecializationService could make * Add default implementation for BufferAggregator.inspectRuntimeShape(), for compatibility with extensions * Use more efficient ConcurrentMap's idioms in SpecializationService
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.