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sparklyr 0.6 Released

Published 2017-08-01 by Kevin Feasel

Javier Luraschi announces sparklyr 0.6:

We’re excited to announce a new release of the sparklyr package, available in CRAN today! sparklyr 0.6 introduces new features to:

  • Distribute R computations using spark_apply() to execute arbitrary R code across your Spark cluster. You can now use all of your favorite R packages and functions in a distributed context.

  • Connect to External Data Sources using spark_read_source(), spark_write_source(), spark_read_jdbc() and spark_write_jdbc().

  • Use the Latest Frameworks including dplyr 0.7, DBI 0.7, RStudio 1.1and Spark 2.2.

I’ve been impressed with sparklyr so far.

Published in R and Spark