From 8a9110510c9e4cbbcb0dede62cb4b9dd1c6bc8cc Mon Sep 17 00:00:00 2001 From: Kai Jiang Date: Sun, 5 Jun 2016 13:03:02 -0700 Subject: [MINOR][R][DOC] Fix R documentation generation instruction. ## What changes were proposed in this pull request? changes in R/README.md - Make step of generating SparkR document more clear. - link R/DOCUMENTATION.md from R/README.md - turn on some code syntax highlight in R/README.md ## How was this patch tested? local test Author: Kai Jiang Closes #13488 from vectorijk/R-Readme. --- R/README.md | 30 ++++++++++++++---------------- 1 file changed, 14 insertions(+), 16 deletions(-) (limited to 'R/README.md') diff --git a/R/README.md b/R/README.md index 044f95312a..932d5272d0 100644 --- a/R/README.md +++ b/R/README.md @@ -7,8 +7,7 @@ SparkR is an R package that provides a light-weight frontend to use Spark from R Libraries of sparkR need to be created in `$SPARK_HOME/R/lib`. This can be done by running the script `$SPARK_HOME/R/install-dev.sh`. By default the above script uses the system wide installation of R. However, this can be changed to any user installed location of R by setting the environment variable `R_HOME` the full path of the base directory where R is installed, before running install-dev.sh script. Example: - -``` +```bash # where /home/username/R is where R is installed and /home/username/R/bin contains the files R and RScript export R_HOME=/home/username/R ./install-dev.sh @@ -20,8 +19,8 @@ export R_HOME=/home/username/R Build Spark with [Maven](http://spark.apache.org/docs/latest/building-spark.html#building-with-buildmvn) and include the `-Psparkr` profile to build the R package. For example to use the default Hadoop versions you can run -``` - build/mvn -DskipTests -Psparkr package +```bash +build/mvn -DskipTests -Psparkr package ``` #### Running sparkR @@ -40,9 +39,8 @@ To set other options like driver memory, executor memory etc. you can pass in th #### Using SparkR from RStudio -If you wish to use SparkR from RStudio or other R frontends you will need to set some environment variables which point SparkR to your Spark installation. For example - -``` +If you wish to use SparkR from RStudio or other R frontends you will need to set some environment variables which point SparkR to your Spark installation. For example +```R # Set this to where Spark is installed Sys.setenv(SPARK_HOME="/Users/username/spark") # This line loads SparkR from the installed directory @@ -59,25 +57,25 @@ Once you have made your changes, please include unit tests for them and run exis #### Generating documentation -The SparkR documentation (Rd files and HTML files) are not a part of the source repository. To generate them you can run the script `R/create-docs.sh`. This script uses `devtools` and `knitr` to generate the docs and these packages need to be installed on the machine before using the script. +The SparkR documentation (Rd files and HTML files) are not a part of the source repository. To generate them you can run the script `R/create-docs.sh`. This script uses `devtools` and `knitr` to generate the docs and these packages need to be installed on the machine before using the script. Also, you may need to install these [prerequisites](https://github.com/apache/spark/tree/master/docs#prerequisites). See also, `R/DOCUMENTATION.md` ### Examples, Unit tests SparkR comes with several sample programs in the `examples/src/main/r` directory. To run one of them, use `./bin/spark-submit `. For example: - - ./bin/spark-submit examples/src/main/r/dataframe.R - +```bash +./bin/spark-submit examples/src/main/r/dataframe.R +``` You can also run the unit tests for SparkR by running. You need to install the [testthat](http://cran.r-project.org/web/packages/testthat/index.html) package first: - - R -e 'install.packages("testthat", repos="http://cran.us.r-project.org")' - ./R/run-tests.sh +```bash +R -e 'install.packages("testthat", repos="http://cran.us.r-project.org")' +./R/run-tests.sh +``` ### Running on YARN The `./bin/spark-submit` can also be used to submit jobs to YARN clusters. You will need to set YARN conf dir before doing so. For example on CDH you can run - -``` +```bash export YARN_CONF_DIR=/etc/hadoop/conf ./bin/spark-submit --master yarn examples/src/main/r/dataframe.R ``` -- cgit v1.2.3