Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/16214#discussion_r91881854
--- 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")
--- End diff --
Yeah, we have the package content, but it's source package rather than
binary package, so we can not use ```library``` to load the package. This is
the pain point for this example. If we illustrate this example with binary
package, we should provide scripts for different os version, and it require all
nodes in users' cluster should have the same architecture. So I use source
package, I think it's a more universal example.
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