Problem starting SparkR Interpreter on external spark

[shane lee <sh...@gmail.com>]

Hello,

I have been trying to use the SparkR interpreter on Spark 1.6.1 and run
into a problem. The SparkR interpreter works well in stand alone
configuration with master set to local[*] and SPARK_HOME undefined.

With master set to yarn-client (with hadoop 2.6.4) and SPARK_HOME pointing
to the installed location of Spark 1.6.1, the spark and pyspark
interpreters work well. However the R/SparkR interpreters always fail with
"sparkr is not responding" error.

This is with the master branch of the code from GitHub and here is the full
output:

org.apache.zeppelin.interpreter.InterpreterException: sparkr is not
responding

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>
> args <- commandArgs(trailingOnly = TRUE)
>
> hashCode <- as.integer(args[1])
> port <- as.integer(args[2])
> libPath <- args[3]
> rm(args)
> print(paste("hashCode ", toString(hashCode)))
[1] "hashCode  1850484525"
> print(paste("Port ", toString(port)))
[1] "Port  56762"
> print(paste("LibPath ", libPath))
[1] "LibPath  c:\\spark-1.6.1-bin-hadoop2.6\\bin\\../R/lib"
>
> .libPaths(c(file.path(libPath), .libPaths()))
> library(SparkR)

Attaching package: 'SparkR'

The following objects are masked from 'package:stats':

    cov, filter, lag, na.omit, predict, sd, var

The following objects are masked from 'package:base':

    colnames, colnames<-, intersect, rank, rbind, sample, subset,
    summary, table, transform

>
>
> SparkR:::connectBackend("localhost", port)
        description               class                mode
 text
"->localhost:56762"          "sockconn"                "wb"
 "binary"
             opened            can read           can write
           "opened"               "yes"               "yes"
>
> # scStartTime is needed by R/pkg/R/sparkR.R
> assign(".scStartTime", as.integer(Sys.time()), envir =
SparkR:::.sparkREnv)
>
> # getZeppelinR
> .zeppelinR = SparkR:::callJStatic("org.apache.zeppelin.spark.ZeppelinR",
"getZeppelinR", hashCode)
Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
Calls: <Anonymous> -> invokeJava
Execution halted

at
org.apache.zeppelin.spark.ZeppelinR.waitForRScriptInitialized(ZeppelinR.java:312)
at org.apache.zeppelin.spark.ZeppelinR.request(ZeppelinR.java:250)
at org.apache.zeppelin.spark.ZeppelinR.eval(ZeppelinR.java:198)
at org.apache.zeppelin.spark.ZeppelinR.open(ZeppelinR.java:187)
at
org.apache.zeppelin.spark.SparkRInterpreter.open(SparkRInterpreter.java:104)
at
org.apache.zeppelin.interpreter.ClassloaderInterpreter.open(ClassloaderInterpreter.java:74)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:68)
at
org.apache.zeppelin.interpreter.LazyOpenInterpreter.interpret(LazyOpenInterpreter.java:92)
at
org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:345)
at org.apache.zeppelin.scheduler.Job.run(Job.java:176)
at org.apache.zeppelin.scheduler.FIFOScheduler$1.run(FIFOScheduler.java:139)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
at
java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)