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diff --git a/R/WINDOWS.md b/R/WINDOWS.md index 3f889c0ca3..f948ed3974 100644 --- a/R/WINDOWS.md +++ b/R/WINDOWS.md @@ -11,3 +11,23 @@ include Rtools and R in `PATH`. directory in Maven in `PATH`. 4. Set `MAVEN_OPTS` as described in [Building Spark](http://spark.apache.org/docs/latest/building-spark.html). 5. Open a command shell (`cmd`) in the Spark directory and run `mvn -DskipTests -Psparkr package` + +## Unit tests + +To run the SparkR unit tests on Windows, the following steps are required —assuming you are in the Spark root directory and do not have Apache Hadoop installed already: + +1. Create a folder to download Hadoop related files for Windows. For example, `cd ..` and `mkdir hadoop`. + +2. Download the relevant Hadoop bin package from [steveloughran/winutils](https://github.com/steveloughran/winutils). While these are not official ASF artifacts, they are built from the ASF release git hashes by a Hadoop PMC member on a dedicated Windows VM. For further reading, consult [Windows Problems on the Hadoop wiki](https://wiki.apache.org/hadoop/WindowsProblems). + +3. Install the files into `hadoop\bin`; make sure that `winutils.exe` and `hadoop.dll` are present. + +4. Set the environment variable `HADOOP_HOME` to the full path to the newly created `hadoop` directory. + +5. Run unit tests for SparkR by running the command below. 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')" + .\bin\spark-submit2.cmd --conf spark.hadoop.fs.defualt.name="file:///" R\pkg\tests\run-all.R + ``` + |