apache-spark - hdp沙箱/齐柏林飞艇上的％spark2.r无法正常工作

我们正在使用ambari，pyspark，sql和scala管理的hdp沙盒上运行zeppelin，但％spark2.r无法运行。有什么想法吗？ -我发誓到处都是。

我尝试 checkin SPARK_HOME = / usr / hdp / current / spark2-client /，但如果是正确的文件夹，则为idk-如何检查？我在沙盒上安装了Rstudio，它工作正常，当我尝试在盒子的 shell 中运行R代码时，它也能正常工作。我确定已经安装了R。

%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"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-redhat-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
  Natural language support but running in an English locale
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> #
> # Licensed to the Apache Software Foundation (ASF) under one
> # or more contributor license agreements.  See the NOTICE file
> # distributed with this work for additional information
> # regarding copyright ownership.  The ASF licenses this file
> # to you under the Apache License, Version 2.0 (the
> # "License"); you may not use this file except in compliance
> # with the License.  You may obtain a copy of the License at
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> #     http://www.apache.org/licenses/LICENSE-2.0
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> # distributed under the License is distributed on an "AS IS" BASIS,
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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)

最佳答案

感谢karma4917为我指出正确的方向-https://zeppelin.apache.org/docs/0.6.0/interpreter/r.html#overview

按照此链接逐步解决了错误

关于apache-spark - hdp沙箱/齐柏林飞艇上的％spark2.r无法正常工作，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/53211164/