This is a companion discussion topic for the original entry at https://www.rstudio.com/blog/sparklyr-1-2
A new version of sparklyr is now available on CRAN! In this sparklyr 1.2 release, the following new improvements have emerged into spotlight:
A registerDoSpark() method to create a foreach parallel backend powered by Spark that enables hundreds of existing R packages to run in Spark. Support for Databricks Connect, allowing sparklyr to connect to remote Databricks clusters. Improved support for Spark structures when collecting and querying their nested attributes with dplyr.