diff --git a/sparkr-interpreter/src/main/resources/kernelR/sparkr_runner.R b/sparkr-interpreter/src/main/resources/kernelR/sparkr_runner.R
index fbf2881..a76aa06 100644
--- a/sparkr-interpreter/src/main/resources/kernelR/sparkr_runner.R
+++ b/sparkr-interpreter/src/main/resources/kernelR/sparkr_runner.R
@@ -30,11 +30,6 @@
 script.basename <- dirname(script.name)
 setwd(script.basename)
 
-# TODO: Use this library instead of the forked SparkR once they either
-#       a) allow us to connect and use an existing Spark Context
-#       b) allow us to have access to the .sparkREnv to do our own work
-#
-#       and provide access in some form to the methods used to access the JVM
 # Add the SparkR library to our list
 .libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths()))
 library(SparkR)
@@ -45,7 +40,7 @@
 rm(".sparkRcon", envir = .sparkREnv)
 
 sparkR.connect <- function() {
-  if (connExists(.sparkREnv)) {
+  if (SparkR:::connExists(.sparkREnv)) {
     print("Connection to SparkR backend has already been established!")
     return()
   }