Github user yanboliang commented on a diff in the pull request:

    https://github.com/apache/spark/pull/16214#discussion_r91679010
  
    --- Diff: examples/src/main/r/native-r-package.R ---
    @@ -0,0 +1,68 @@
    +#
    +# 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.
    +#
    +
    +# This example illustrates how to install third-party R packages to 
executors
    +# in your SparkR jobs distributed by "spark.lapply".
    +#
    +# Note: This example will install packages to a temporary directory on 
your machine.
    +#       The directory will be removed automatically when the example exit.
    +#       You environment should be connected to internet to run this 
example,
    +#       otherwise, you should change "repos" to your private repository 
url.
    +#       And the environment need to have necessary tools such as gcc to 
compile
    +#       and install R package "e1071".
    +#
    +# To run this example use
    +# ./bin/spark-submit examples/src/main/r/native-r-package.R
    +
    +# Load SparkR library into your R session
    +library(SparkR)
    +
    +# Initialize SparkSession
    +sparkR.session(appName = "SparkR-native-r-package-example")
    +
    +# $example on$
    +# The directory where the third-party R packages are installed.
    +libDir <- paste0(tempdir(), "/", "Rlib")
    +dir.create(libDir)
    +
    +# Downloaded e1071 package source code to a directory
    +packagesDir <- paste0(tempdir(), "/", "packages")
    +dir.create(packagesDir)
    +download.packages("e1071", packagesDir, repos = 
"https://cran.r-project.org";)
    +filename <- list.files(packagesDir, "^e1071")
    +packagesPath <- file.path(packagesDir, filename)
    +# Add the third-party R package to be downloaded with this Spark job on 
every node.
    +spark.addFile(packagesPath)
    +
    +path <- spark.getSparkFiles(filename)
    +costs <- exp(seq(from = log(1), to = log(1000), length.out = 5))
    +train <- function(cost) {
    +    if("e1071" %in% rownames(installed.packages(lib = libDir)) == FALSE) {
    +        install.packages(path, repos = NULL, type = "source")
    +    }
    +    library(e1071)
    --- End diff --
    
    Yeah, I run it in standalone mode several times, all work well. But I think 
I can not guarantee it works well always before more careful test, may be I'm 
lucky and not hit the concurrent issue. I'll figure out a religious test to 
verify it later. Thanks.


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