sparklyr is an R package that provides seamless interfacing with Apache Spark clusters—either local or remote—while letting users write code in familiar R paradigms. It supplies a dplyr-compatible backend, Spark machine learning pipelines, SQL integration, and I/O utilities to manipulate and analyze large datasets distributed across cluster environments.
Features
- Connects to Spark via YARN, Mesos, Kubernetes, Livy or local mode
- Enables dplyr-style data transformation on Spark DataFrames
- Supports SQL queries and ML pipelines (ml_* API)
- Includes tools for distributed computing, window functions, streaming
- Extensible with packages like sparkxgb, graphframes, H2O
- Handles reading/writing CSV, Parquet, JSON, and caching operations
Project Samples
Categories
Data ManagementLicense
Apache License V2.0Follow sparklyr
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