spark 配置使用

介绍

• Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that supports general execution graphs. It also supports **a rich set of higher-level tools **including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.
• 直接到官网下载代码，
• 需要安装jdk，java已经设置到系统路径PATH，或者设置JAVA_HOME。

使用

• 运行例子：
  use bin/run-example [params] in the top-level Spark directory.
  ./bin/run-example SparkPi 10
• 使用交互探索Spark，不过是scala语言
  ./bin/spark-shell --master local[2]
  使用run Spark shell with the --help option可以查命令参数.
• Spark also provides a Python API. To run Spark interactively in a Python interpreter, use bin/pyspark:
  ./bin/pyspark --master local[2]
  也可以将这个包导入到python的包文件里，这里提供了方法：
  http://blog.csdn.net/sinat_26599509/article/details/51895999

• Example applications are also provided in Python.当然可以自学去看怎么是实现。可以运行：
  ./bin/spark-submit examples/src/main/python/pi.py 10

• 对于R，也是一样的可以运行交互环境 sparkR。也可以和上面使用spark-submit 运行R文件