hdp 沙盒/zeppelin 上的 %spark2.r 不起作用

Question

我们正在使用 ambari、pyspark、sql 和 scala 管理的 hdp 沙箱上运行 zeppelin，但 %spark2.r 没有。请问有什么想法吗？ - 我发誓我到处找。

我尝试签入 SPARK_HOME = /usr/hdp/current/spark2-client/ 但如果那是正确的文件夹，我该如何检查？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。我确定已安装 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
> #
> #     http://www.apache.org/licenses/LICENSE-2.0
> #
> # Unless required by applicable law or agreed to in writing, software
> # distributed under the License is distributed on an "AS IS" BASIS,
> # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
> # See the License for the specific language governing permissions and
> # limitations under the License.
> #
> 
> 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) 

Answer 1

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

按照此链接逐步解决错误