The team at AMPLab has announced a developer preview of SparkR, an R package enabling R users to run jobs on an Apache Spark cluster.   Spark is an open source project that supports distributed in-memory computing for advanced analytics, such as fast queries, machine learning, streaming analytics and graph engines.  Spark works with every data format supported in Hadoop, and supports YARN 2.2.

SparkR exposes the Spark API as distributed lists in R and automatically serializes the necessary variables to execute a function on the cluster.

SparkR is available now on GitHub.  It requires Scala 2.10, Spark version 0.9.0 or higher and depends on the rjava and testthat R packages.

Join the conversation! 2 Comments

  1. […] Spark.  Databricks and Cloudera offer commercial support.  Recent coverage by this blog here and here; additional coverage here, here, here and […]

  2. […] released a developer version of SparkR in January 2014.  In June 2014, Alteryx and Databricks announced a partnership to lead development […]


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