I am trying to connect to Spark 2.1.0 from Jupyter using Apache Toree SparkR kernel. The kernel loads correctly but when I try to execute a cell an error appears and repeat infinitely.
Connecting to Spark using Scala and Python kernels work perfectly. Connecting to Spark using R through RStudio work perfectly.
Error log:
Loading required package: methods
Attaching package: ‘SparkR’
The following objects are masked from ‘package:stats’:
`cov, filter, lag, na.omit, predict, sd, var, window`
The following objects are masked from ‘package:base’:
`as.data.frame, colnames, colnames<-, drop, endsWith, intersect,`
`rank, rbind, sample, startsWith, subset, summary, transform, union`
Warning message:
`In rm(".sparkRcon", envir = .sparkREnv) : objeto` '.sparkRcon' no encontrado
[1] "ExistingPort:" "43101"
Error in value[[3L]](cond) :
Failed to connect JVM: Error in socketConnection(host = hostname, port = port, server = FALSE, : el argumento "timeout" está ausente, sin valor por omisión
Calls: sparkR.connect ... tryCatch -> tryCatchList -> tryCatchOne -> <Anonymous>
Ejecución interrumpida
17/05/04 11:04:12 [ERROR] o.a.t.k.i.s.SparkRProcessHandler - null process exited: 1
