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    c84f7d3e
    [SPARK-18828][SPARKR] Refactor scripts for R · c84f7d3e
    Felix Cheung authored
    ## What changes were proposed in this pull request?
    
    Refactored script to remove duplications and clearer purpose for each script
    
    ## How was this patch tested?
    
    manually
    
    Author: Felix Cheung <felixcheung_m@hotmail.com>
    
    Closes #16249 from felixcheung/rscripts.
    c84f7d3e
    History
    [SPARK-18828][SPARKR] Refactor scripts for R
    Felix Cheung authored
    ## What changes were proposed in this pull request?
    
    Refactored script to remove duplications and clearer purpose for each script
    
    ## How was this patch tested?
    
    manually
    
    Author: Felix Cheung <felixcheung_m@hotmail.com>
    
    Closes #16249 from felixcheung/rscripts.
install-dev.sh 1.59 KiB
#!/bin/bash

#
# 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 scripts packages the SparkR source files (R and C files) and
# creates a package that can be loaded in R. The package is by default installed to
# $FWDIR/lib and the package can be loaded by using the following command in R:
#
#   library(SparkR, lib.loc="$FWDIR/lib")
#
# NOTE(shivaram): Right now we use $SPARK_HOME/R/lib to be the installation directory
# to load the SparkR package on the worker nodes.

set -o pipefail
set -e

FWDIR="$(cd `dirname "${BASH_SOURCE[0]}"`; pwd)"
LIB_DIR="$FWDIR/lib"

mkdir -p $LIB_DIR

pushd $FWDIR > /dev/null
. $FWDIR/find-r.sh

. $FWDIR/create-rd.sh

# Install SparkR to $LIB_DIR
"$R_SCRIPT_PATH/"R CMD INSTALL --library=$LIB_DIR $FWDIR/pkg/

# Zip the SparkR package so that it can be distributed to worker nodes on YARN
cd $LIB_DIR
jar cfM "$LIB_DIR/sparkr.zip" SparkR

popd > /dev/null