Github user felixcheung commented on a diff in the pull request: https://github.com/apache/spark/pull/16214#discussion_r91561800 --- Diff: examples/src/main/r/native-r-package.R --- @@ -0,0 +1,80 @@ +# +# 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 use third-party R packages in your task +# which is distributed by Spark. We support two scenarios: +# - Install packages from CRAN to executors directly. +# - Install packages from local file system to executors. +# +# 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") + +# Get the location of the default library +libDir <- .libPaths()[1] + +# Install third-party R packages from CRAN to executors directly if it does not exist, +# then the packages can be used by the corresponding task. + +# Perform distributed training of multiple models with spark.lapply +costs <- exp(seq(from = log(1), to = log(1000), length.out = 5)) +train <- function(cost) { + if("e1071" %in% rownames(installed.packages(libDir)) == FALSE) { --- End diff -- I'd prefer `installed.packages(lib = libDir)` to be more clear
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