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huaxingao and HyukjinKwon [SPARK-21291][R] add R partitionBy API in DataFrame
## What changes were proposed in this pull request?

add R partitionBy API in write.df
I didn't add bucketBy in write.df. The last line of write.df is
```
write <- handledCallJMethod(write, "save")
```
save doesn't support bucketBy right now.
```
 assertNotBucketed("save")
```

## How was this patch tested?

Add unit test in test_sparkSQL.R

Closes #22537 from huaxingao/spark-21291.

Authored-by: Huaxin Gao <huaxing@us.ibm.com>
Signed-off-by: hyukjinkwon <gurwls223@apache.org>
Latest commit cb77a66 Sep 26, 2018
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.github [SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web site Nov 23, 2016
R [SPARK-21291][R] add R partitionBy API in DataFrame Sep 26, 2018
assembly [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
bin [SPARK-24433][K8S] Initial R Bindings for SparkR on K8s Aug 17, 2018
build [SPARK-25335][BUILD] Skip Zinc downloading if it's installed in the s… Sep 5, 2018
common [SPARK-24355] Spark external shuffle server improvement to better han… Sep 21, 2018
conf [SPARK-22466][SPARK SUBMIT] export SPARK_CONF_DIR while conf is default Nov 9, 2017
core [SPARK-25422][CORE] Don't memory map blocks streamed to disk. Sep 26, 2018
data [SPARK-22666][ML][SQL] Spark datasource for image format Sep 5, 2018
dev [SPARK-25494][SQL] Upgrade Spark's use of Janino to 3.0.10 Sep 21, 2018
docs [SPARK-19724][SQL] allowCreatingManagedTableUsingNonemptyLocation sho… Sep 21, 2018
examples [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
external [SPARK-25495][SS] FetchedData.reset should reset all fields Sep 25, 2018
graphx [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
hadoop-cloud [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
launcher [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
licenses-binary [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
licenses [SPARK-24654][BUILD] Update, fix LICENSE and NOTICE, and specialize f… Jul 1, 2018
mllib-local [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
mllib [SPARK-25489][ML][TEST] Refactor UDTSerializationBenchmark Sep 23, 2018
project [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
python [SPARK-24324][PYTHON][FOLLOW-UP] Rename the Conf to spark.sql.legacy.… Sep 26, 2018
repl [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
resource-managers [SPARK-25291][K8S] Fixing Flakiness of Executor Pod tests Sep 18, 2018
sbin [PYSPARK] Update py4j to version 0.10.7. May 9, 2018
sql [SPARK-24324][PYTHON][FOLLOW-UP] Rename the Conf to spark.sql.legacy.… Sep 26, 2018
streaming [SPARK-23200] Reset Kubernetes-specific config on Checkpoint restore Sep 19, 2018
tools [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT Sep 15, 2018
.gitattributes [SPARK-3870] EOL character enforcement Oct 31, 2014
.gitignore [MINOR] Add .crc files to .gitignore Aug 21, 2018
.travis.yml [SPARK-18278][SCHEDULER] Spark on Kubernetes - Basic Scheduler Backend Nov 29, 2017
CONTRIBUTING.md [SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web site Nov 23, 2016
LICENSE [SPARK-24654][BUILD] Update, fix LICENSE and NOTICE, and specialize f… Jul 1, 2018
LICENSE-binary [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
NOTICE [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
NOTICE-binary [SPARK-23654][BUILD] remove jets3t as a dependency of spark Aug 16, 2018
README.md [DOC] Update some outdated links Sep 4, 2018
appveyor.yml [MINOR][BUILD] Remove -Phive-thriftserver profile within appveyor.yml Jul 30, 2018
pom.xml [SPARK-25494][SQL] Upgrade Spark's use of Janino to 3.0.10 Sep 21, 2018
scalastyle-config.xml [SPARK-24919][BUILD] New linter rule for sparkContext.hadoopConfigura… Jul 26, 2018

README.md

Apache Spark

Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Spark Streaming for stream processing.

http://spark.apache.org/

Online Documentation

You can find the latest Spark documentation, including a programming guide, on the project web page. This README file only contains basic setup instructions.

Building Spark

Spark is built using Apache Maven. To build Spark and its example programs, run:

build/mvn -DskipTests clean package

(You do not need to do this if you downloaded a pre-built package.)

You can build Spark using more than one thread by using the -T option with Maven, see "Parallel builds in Maven 3". More detailed documentation is available from the project site, at "Building Spark".

For general development tips, including info on developing Spark using an IDE, see "Useful Developer Tools".

Interactive Scala Shell

The easiest way to start using Spark is through the Scala shell:

./bin/spark-shell

Try the following command, which should return 1000:

scala> sc.parallelize(1 to 1000).count()

Interactive Python Shell

Alternatively, if you prefer Python, you can use the Python shell:

./bin/pyspark

And run the following command, which should also return 1000:

>>> sc.parallelize(range(1000)).count()

Example Programs

Spark also comes with several sample programs in the examples directory. To run one of them, use ./bin/run-example <class> [params]. For example:

./bin/run-example SparkPi

will run the Pi example locally.

You can set the MASTER environment variable when running examples to submit examples to a cluster. This can be a mesos:// or spark:// URL, "yarn" to run on YARN, and "local" to run locally with one thread, or "local[N]" to run locally with N threads. You can also use an abbreviated class name if the class is in the examples package. For instance:

MASTER=spark://host:7077 ./bin/run-example SparkPi

Many of the example programs print usage help if no params are given.

Running Tests

Testing first requires building Spark. Once Spark is built, tests can be run using:

./dev/run-tests

Please see the guidance on how to run tests for a module, or individual tests.

There is also a Kubernetes integration test, see resource-managers/kubernetes/integration-tests/README.md

A Note About Hadoop Versions

Spark uses the Hadoop core library to talk to HDFS and other Hadoop-supported storage systems. Because the protocols have changed in different versions of Hadoop, you must build Spark against the same version that your cluster runs.

Please refer to the build documentation at "Specifying the Hadoop Version and Enabling YARN" for detailed guidance on building for a particular distribution of Hadoop, including building for particular Hive and Hive Thriftserver distributions.

Configuration

Please refer to the Configuration Guide in the online documentation for an overview on how to configure Spark.

Contributing

Please review the Contribution to Spark guide for information on how to get started contributing to the project.