59e206deb7
This PR pulls in recent changes in SparkR-pkg, including cartesian, intersection, sampleByKey, subtract, subtractByKey, except, and some API for StructType and StructField. Author: cafreeman <cfreeman@alteryx.com> Author: Davies Liu <davies@databricks.com> Author: Zongheng Yang <zongheng.y@gmail.com> Author: Shivaram Venkataraman <shivaram.venkataraman@gmail.com> Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu> Author: Sun Rui <rui.sun@intel.com> Closes #5436 from davies/R3 and squashes the following commits: c2b09be [Davies Liu] SQLTypes -> schema a5a02f2 [Davies Liu] Merge branch 'master' of github.com:apache/spark into R3 168b7fe [Davies Liu] sort generics b1fe460 [Davies Liu] fix conflict in README.md e74c04e [Davies Liu] fix schema.R 4f5ac09 [Davies Liu] Merge branch 'master' of github.com:apache/spark into R5 41f8184 [Davies Liu] rm man ae78312 [Davies Liu] Merge pull request #237 from sun-rui/SPARKR-154_3 1bdcb63 [Zongheng Yang] Updates to README.md. 5a553e7 [cafreeman] Use object attribute instead of argument 71372d9 [cafreeman] Update docs and examples 8526d2e71 [cafreeman] Remove `tojson` functions 6ef5f2d [cafreeman] Fix spacing 7741d66 [cafreeman] Rename the SQL DataType function 141efd8 [Shivaram Venkataraman] Merge pull request #245 from hqzizania/upstream 9387402 [Davies Liu] fix style 40199eb [Shivaram Venkataraman] Move except into sorted position 07d0dbc [Sun Rui] [SPARKR-244] Fix test failure after integration of subtract() and subtractByKey() for RDD. 7e8caa3 [Shivaram Venkataraman] Merge pull request #246 from hlin09/fixCombineByKey ed66c81 [cafreeman] Update `subtract` to work with `generics.R` f3ba785 [cafreeman] Fixed duplicate export 275deb4 [cafreeman] Update `NAMESPACE` and tests 1a3b63d [cafreeman] new version of `CreateDF` 836c4bf [cafreeman] Update `createDataFrame` and `toDF` be5d5c1 [cafreeman] refactor schema functions 40338a4 [Zongheng Yang] Merge pull request #244 from sun-rui/SPARKR-154_5 20b97a6 [Zongheng Yang] Merge pull request #234 from hqzizania/assist ba54e34 [Shivaram Venkataraman] Merge pull request #238 from sun-rui/SPARKR-154_4 c9497a3 [Shivaram Venkataraman] Merge pull request #208 from lythesia/master b317aa7 [Zongheng Yang] Merge pull request #243 from hqzizania/master 136a07e [Zongheng Yang] Merge pull request #242 from hqzizania/stats cd66603 [cafreeman] new line at EOF 8b76e81 [Shivaram Venkataraman] Merge pull request #233 from redbaron/fail-early-on-missing-dep 7dd81b7 [cafreeman] Documentation 0e2a94f [cafreeman] Define functions for schema and fields |
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| README.md | ||
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| WINDOWS.md | ||
R on Spark
SparkR is an R package that provides a light-weight frontend to use Spark from R.
SparkR development
Build Spark
Build Spark with Maven 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
Running sparkR
You can start using SparkR by launching the SparkR shell with
./bin/sparkR
The sparkR script automatically creates a SparkContext with Spark by default in
local mode. To specify the Spark master of a cluster for the automatically created
SparkContext, you can run
./bin/sparkR --master "local[2]"
To set other options like driver memory, executor memory etc. you can pass in the spark-submit arguments to ./bin/sparkR
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
# Set this to where Spark is installed
Sys.setenv(SPARK_HOME="/Users/shivaram/spark")
# This line loads SparkR from the installed directory
.libPaths(c(file.path(Sys.getenv("SPARK_HOME"), "R", "lib"), .libPaths()))
library(SparkR)
sc <- sparkR.init(master="local")
Making changes to SparkR
The instructions for making contributions to Spark also apply to SparkR.
If you only make R file changes (i.e. no Scala changes) then you can just re-install the R package using R/install-dev.sh and test your changes.
Once you have made your changes, please include unit tests for them and run existing unit tests using the run-tests.sh script as described below.
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.
Examples, Unit tests
SparkR comes with several sample programs in the examples/src/main/r directory.
To run one of them, use ./bin/sparkR <filename> <args>. For example:
./bin/sparkR examples/src/main/r/pi.R local[2]
You can also run the unit-tests for SparkR by running (you need to install the testthat package first):
R -e 'install.packages("testthat", repos="http://cran.us.r-project.org")'
./R/run-tests.sh
Running on YARN
The ./bin/spark-submit and ./bin/sparkR 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
export YARN_CONF_DIR=/etc/hadoop/conf
./bin/spark-submit --master yarn examples/src/main/r/pi.R 4