In WinVector/replyr: Patches to Use 'dplyr' on Remote Data Sources

binding rows on spark

It would be nice if dplyr::bind_rows could be a used on Sparklyr data handles.

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = " # "
)
options(width =100)

OSX 10.11.6. Spark installed as described at http://spark.rstudio.com

library('sparklyr')
spark_install(version = "2.0.0")

library('dplyr')
library('sparklyr')
R.Version()$version.string
packageVersion('dplyr')
packageVersion('sparklyr')
my_db <- sparklyr::spark_connect(version='2.0.0', master = "local")
class(my_db)
my_db$spark_home
print(my_db)

Expected outcome: dplyr::bind_rows to work with Sparklyr data reference.
Observed outcome: can't bind.

support <- copy_to(my_db,
                   data.frame(year=2005:2010),
                   'support')

# This form doesn't work.
dplyr::bind_rows(support, support)

# This form doesn't work.
dplyr::bind_rows(list(support, support))