开源软件名称：

spark-project

开源软件地址：

https://gitee.com/mirrors/spark-project

开源软件介绍：

Apache Spark

Spark is a unified analytics engine for large-scale data processing. It provideshigh-level APIs in Scala, Java, Python, and R, and an optimized engine thatsupports general computation graphs for data analysis. It also supports arich set of higher-level tools including Spark SQL for SQL and DataFrames,pandas API on Spark for pandas workloads, MLlib for machine learning, GraphX for graph processing,and Structured Streaming for stream processing.

https://spark.apache.org/

Online Documentation

You can find the latest Spark documentation, including a programmingguide, 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.)

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 1,000,000,000:

scala> spark.range(1000 * 1000 * 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 1,000,000,000:

>>> spark.range(1000 * 1000 * 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 submitexamples to a cluster. This can be a mesos:// or spark:// URL,"yarn" to run on YARN, and "local" to runlocally with one thread, or "local[N]" to run locally with N threads. Youcan also use an abbreviated class name if the class is in the examplespackage. 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, testscan be run using:

./dev/run-tests

Please see the guidance on how torun 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-supportedstorage systems. Because the protocols have changed in different versions ofHadoop, 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, includingbuilding for particular Hive and Hive Thriftserver distributions.