Lightning-fast cluster computing with Spark and Cassandra

This library allows creation of Spark applications that read/write data from/to Cassandra.

Features

• Compatible with vanilla Apache Cassandra 2.x and DataStax Enterprise 4.5
• Compatible with Apache Spark 0.9 and 1.0
• Exposes Cassandra tables as Spark RDDs
• Maps table rows to CassandraRow objects or tuples
• Offers customizable object mapper for mapping rows to objects of user-defined classes
• Saves RDDs back to Cassandra by implicit saveToCassandra call
• Converts data types between Cassandra and Scala
• Supports all Cassandra data types including collections
• Filters rows on the server side via the CQL WHERE clause
• Plays nice with Cassandra Virtual Nodes

Building

You need to install SBT version 0.13 or newer to build this project. In the project root directory run:

sbt package
sbt doc

The library package jar will be placed in target/scala-2.10/ The documentation will be generated to target/scala-2.10/api/

Documentation

• Quick-start guide
• Connecting to Cassandra
• Loading datasets from Cassandra
• Server-side data selection and filtering
• Working with user-defined case classes and tuples
• Saving datasets to Cassandra
• Customizing the object mapping

Reporting Bugs

Please use GitHub to report feature requests or bugs.

Contributing

To contribute back to this project, please open a pull-request on GitHub.

To develop this project, we recommend using IntelliJ IDEA. Make sure you have installed and enabled the Scala Plugin from [here] (http://confluence.jetbrains.com/display/SCA/Scala+Plugin+for+IntelliJ+IDEA).