.github[SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web siteSean Owen5 months ago
R[MINOR][ML] Fix some PySpark & SparkR flaky testsYanbo Liang2 days ago
assembly[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
bin[SPARK-19237][SPARKR][CORE] On Windows spark-submit should handle when java is not installedFelix Cheung1 month ago
build[SPARK-19550][BUILD][CORE][WIP] Remove Java 7 supportSean Owen2 months ago
common[SPARK-19812] YARN shuffle service fails to relocate recovery DB acro…Tom Graves2 days ago
conf[SPARK-17979][SPARK-14453] Remove deprecated SPARK_YARN_USER_ENV and SPARK_JAVA_OPTSYong Tang1 month ago
core[SPARK-20391][CORE] Rename memory related fields in ExecutorSummayjerryshao2 days ago
data[SPARK-16421][EXAMPLES][ML] Improve ML Example OutputsBryan Cutler8 months ago
dev[SPARK-20449][ML] Upgrade breeze version to 0.13.1Yanbo Liang3 days ago
docs[SPARK-20400][DOCS] Remove References to 3rd Party Vendor Toolsanabranch2 days ago
examples[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
external[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
graphx[SPARK-5484][GRAPHX] Periodically do checkpoint in Pregelding3 days ago
launcher[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
licenses[MINOR][BUILD] Add modernizr MIT license; specify "2014 and onwards" in license copyrightSean Owen10 months ago
mllib[SPARK-5484][GRAPHX] Periodically do checkpoint in Pregelding3 days ago
mllib-local[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
project[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
python[MINOR][ML] Fix some PySpark & SparkR flaky testsYanbo Liang2 days ago
repl[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
resource-managers[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
sbin[SPARK-19083] sbin/start-history-server.sh script use of $@ without quoteszuotingbing3 months ago
sql[SPARK-12868][SQL] Allow adding jars from hdfsWeiqing Yang1 day ago
streaming[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
tools[SPARK-20453] Bump master branch version to 2.3.0-SNAPSHOTJosh Rosen3 days ago
.gitattributes[SPARK-3870] EOL character enforcementKousuke Saruta2 years ago
.gitignore[SPARK-19562][BUILD] Added exclude for dev/pr-deps to gitignoreArmin Braun2 months ago
.travis.yml[SPARK-19801][BUILD] Remove JDK7 from Travis CIDongjoon Hyun1 month ago
CONTRIBUTING.md[SPARK-18073][DOCS][WIP] Migrate wiki to spark.apache.org web siteSean Owen5 months ago
LICENSE[SPARK-20449][ML] Upgrade breeze version to 0.13.1Yanbo Liang3 days ago
NOTICE[SPARK-18262][BUILD][SQL] JSON.org license is now CatXSean Owen5 months ago
README.md[MINOR][DOCS] Replace non-breaking space to normal spaces that breaks rendering markdownhyukjinkwon25 days ago
appveyor.yml[SPARK-20092][R][PROJECT INFRA] Add the detection for Scala codes dedicated for R in AppVeyor testshyukjinkwon1 month ago
pom.xml[SPARK-20449][ML] Upgrade breeze version to 0.13.1Yanbo Liang3 days ago
scalastyle-config.xml[SPARK-13747][CORE] Fix potential ThreadLocal leaks in RPC when using ForkJoinPoolShixiong Zhu4 months ago

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.

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" 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.

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