The Apache Cassandra Spark Connector allows Spark jobs (RDDs or DataFrames/Datasets) to read from and write to Cassandra tables. Compatible with Apache Cassandra (v2.1+), Spark 1.0–3.5, and Scala 2.11–2.13, it supports mapping Cassandra rows to Scala case classes, saving results back to Cassandra, and executing arbitrary CQL within Spark applications.
Features
- Read Cassandra tables as Spark RDDs or DataFrames/Datasets
- Write Spark objects back into Cassandra via saveToCassandra
- Support for Scala versions 2.11, 2.12, 2.13 and Spark 1–3.x
- Custom row-mapping via CassandraRow or user-defined classes
- Full CQL support in Spark pipelines
- Production-tested for Cassandra+Spark integration in analytics workloads
Categories
Data IntegrationLicense
Apache License V2.0Follow Cassandra Spark Connector
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