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spark-instrumented-optimizer/R/WINDOWS.md
hyukjinkwon 1c403733b8 [SPARK-8603][SPARKR] Use shell() instead of system2() for SparkR on Windows 
## What changes were proposed in this pull request?

This PR corrects SparkR to use `shell()` instead of `system2()` on Windows.

Using `system2(...)` on Windows does not process windows file separator `\`. `shell(tralsate = TRUE, ...)` can treat this problem. So, this was changed to be chosen according to OS.

Existing tests were failed on Windows due to this problem. For example, those were failed.

  ```
8. Failure: sparkJars tag in SparkContext (test_includeJAR.R#34)
9. Failure: sparkJars tag in SparkContext (test_includeJAR.R#36)
```

The cases above were due to using of `system2`.

In addition, this PR also fixes some tests failed on Windows.

  ```
5. Failure: sparkJars sparkPackages as comma-separated strings (test_context.R#128)
6. Failure: sparkJars sparkPackages as comma-separated strings (test_context.R#131)
7. Failure: sparkJars sparkPackages as comma-separated strings (test_context.R#134)
```

  The cases above were due to a weird behaviour of `normalizePath()`. On Linux, if the path does not exist, it just prints out the input but it prints out including the current path on Windows.

  ```r
# On Linus
path <- normalizePath("aa")
print(path)
[1] "aa"

# On Windows
path <- normalizePath("aa")
print(path)
[1] "C:\\Users\\aa"
```

## How was this patch tested?

Jenkins tests and manually tested in a Window machine as below:

Here is the [stdout](https://gist.github.com/HyukjinKwon/4bf35184f3a30f3bce987a58ec2bbbab) of testing.

Closes #7025

Author: hyukjinkwon <gurwls223@gmail.com>
Author: Hyukjin Kwon <gurwls223@gmail.com>
Author: Prakash PC <prakash.chinnu@gmail.com>

Closes #13165 from HyukjinKwon/pr/7025.
2016-05-26 20:55:06 -07:00

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Building SparkR on Windows

To build SparkR on Windows, the following steps are required

  1. Install R (>= 3.1) and Rtools. Make sure to include Rtools and R in PATH.
  2. Install JDK7 and set JAVA_HOME in the system environment variables.
  3. Download and install Maven. Also include the bin directory in Maven in PATH.
  4. Set MAVEN_OPTS as described in Building Spark.
  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. 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.

  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 package first:

    R -e "install.packages('testthat', repos='http://cran.us.r-project.org')"
.\bin\spark-submit2.cmd --conf spark.hadoop.fs.default.name="file:///" R\pkg\tests\run-all.R