Мы запускаем zeppelin в hdp-песочнице, управляемой с помощью ambari, pyspark, sql и scala работает, но% spark2.r - нет.Есть идеи, пожалуйста?- Клянусь, я смотрел везде.
Я попытался проверить SPARK_HOME = / usr / hdp / current / spark2-client / но idk, если это правильная папка - как я могу проверить?Я установил Rstudio в песочнице, и он работает нормально, и когда я пытаюсь запустить код R в оболочке в коробке, он также работает.Я уверен, что R установлен.
%spark2.r
foo <- TRUE
print(foo)
bare <- c(1, 2.5, 4)
print(bare)
double <- 15.0
print(double)
org.apache.zeppelin.interpreter.InterpreterException: sparkr is not responding
R version 3.5.1 (2018-07-02) -- "Feather Spray"
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>
> args <- commandArgs(trailingOnly = TRUE)
>
> hashCode <- as.integer(args[1])
> port <- as.integer(args[2])
> libPath <- args[3]
> version <- as.integer(args[4])
> rm(args)
>
> print(paste("Port ", toString(port)))
[1] "Port 42159"
> print(paste("LibPath ", libPath))
[1] "LibPath /usr/hdp/current/spark2-client//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, 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
>
>
> SparkR:::connectBackend("localhost", port, 6000)
A connection with
description "->localhost:42159"
class "sockconn"
mode "wb"
text "binary"
opened "opened"
can read "yes"
can write "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)
at org.apache.zeppelin.spark.ZeppelinR.waitForRScriptInitialized(ZeppelinR.java:285)
at org.apache.zeppelin.spark.ZeppelinR.request(ZeppelinR.java:227)
at org.apache.zeppelin.spark.ZeppelinR.eval(ZeppelinR.java:176)
at org.apache.zeppelin.spark.ZeppelinR.open(ZeppelinR.java:165)
at org.apache.zeppelin.spark.SparkRInterpreter.open(SparkRInterpreter.java:90)
at org.apache.zeppelin.interpreter.LazyOpenInterpreter.open(LazyOpenInterpreter.java:69)
at org.apache.zeppelin.interpreter.remote.RemoteInterpreterServer$InterpretJob.jobRun(RemoteInterpreterServer.java:493)
at org.apache.zeppelin.scheduler.Job.run(Job.java:175)
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:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)