hdp sandbox/zeppelin 上的 %spark2.r 不工作

Question

我们在使用 ambari、pyspark、sql 和 scala 管理的 hdp 沙箱上运行ning zeppelin，但 %spark2.r 没有。有什么想法吗？ - 我发誓我到处都看了。

我尝试签入 SPARK_HOME = /usr/hdp/current/spark2-client/ 但我不知道那是否是正确的文件夹 - 我该如何检查？我在沙盒上安装了 Rstudio，它工作正常，当我尝试在框中的 shell 中使用运行 R 代码时，它也能正常工作。我确定安装了 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
> #
> #     http://www.apache.org/licenses/LICENSE-2.0
> #
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> # 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
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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$InterpretJob.jobRun(RemoteInterpreterServer.java:493)
    at org.apache.zeppelin.scheduler.Job.run(Job.java:175)
    at org.apache.zeppelin.scheduler.FIFOScheduler.run(FIFOScheduler.java:139)
    at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access1(ScheduledThreadPoolExecutor.java:180)
    at java.util.concurrent.ScheduledThreadPoolExecutor$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

感谢业力 4917 为我指明了正确的方向 - https://zeppelin.apache.org/docs/0.6.0/interpreter/r.html#overview

按照这个link一步步解决错误

hdp sandbox/zeppelin 上的 %spark2.r 不工作

%spark2.r on hdp sandbox/zeppelin doesn't work

apache-spark

hadoop

apache-zeppelin

sparkr

ambari