Using Open Source R-Studio Server connecting to Kerberos-enabled Hadoop

Step 1: Add line "SPARK_HOME=${SPARK_HOME-'/opt/cloudera/parcels/CDH/lib/spark/'}" to end of file "/usr/lib64/R/etc/Renviron"

Step 2: Connect to Spark using sparklyr inside R-Studio Server

> install.packages("sparklyr")

> library(sparklyr)

> readRenviron("/usr/lib64/R/etc/Renviron")

> sc <- spark_connect(master = "yarn-client",version = "1.6.0", config = list

(default = list(spark.yarn.keytab = "/home/donghua/donghua.keytab", spark.yarn.principal = "donghua@DBAGLOBE.COM")))

> sc
$master
[1] "yarn-client"

$method
[1] "shell"

$app_name
[1] "sparklyr"

$config
$config$default
$config$default$spark.yarn.keytab
[1] "/home/donghua/donghua.keytab"

$config$default$spark.yarn.principal
[1] "donghua@DBAGLOBE.COM"



$spark_home
[1] "/opt/cloudera/parcels/CDH-5.13.1-1.cdh5.13.1.p0.2/lib/spark"

$backend
A connection with                               
description "->localhost:46015"
class       "sockconn"         
mode        "wb"               
text        "binary"           
opened      "opened"           
can read    "yes"              
can write   "yes"              

$monitor
A connection with                              
description "->localhost:8880"
class       "sockconn"        
mode        "rb"              
text        "binary"          
opened      "opened"          
can read    "yes"             
can write   "yes"             

$output_file
[1] "/tmp/RtmpXWaXfE/file7af1ca61a03_spark.log"

$spark_context
<jobj[6]>
  class org.apache.spark.SparkContext
  org.apache.spark.SparkContext@355d7d99

$java_context
<jobj[7]>
  class org.apache.spark.api.java.JavaSparkContext
  org.apache.spark.api.java.JavaSparkContext@ef616c5

attr(,"class")
[1] "spark_connection"       "spark_shell_connection" "DBIConnection"   

> library(DBI)
> iotdatademo <- dbGetQuery(sc, 'Select * from default.iotdatademo limit 10')
> iotdatademo

Reference URL: https://medium.com/@bkvarda/sparklyr-r-interface-for-spark-and-kerberos-on-cloudera-80abf5f6b4ad