spark包

spark-assembly-1.5.2-hadoop2.6.0.jar

http://blog.csdn.net/ronaldo4511/article/details/53035494

http://doc.okbase.net/qindongliang1922/archive/172752.html

name := "spark-hello"

version := "1.0"

scalaVersion := "2.11.7"
//使用公司的私服
resolvers += "Local Maven Repository" at "http://dev.bizbook-inc.com:8083/nexus/content/groups/public/"
//使用内部仓储
externalResolvers := Resolver.withDefaultResolvers(resolvers.value, mavenCentral = false)
//Hadoop的依赖
libraryDependencies += "org.apache.hadoop" % "hadoop-client" % "2.7.1"
//Spark的依赖
libraryDependencies += "org.apache.spark" % "spark-core_2.11" % "1.4.1"
//Spark SQL 依赖
libraryDependencies += "org.apache.spark" % "spark-sql_2.11" % "1.4.1"
//java servlet 依赖
libraryDependencies += "javax.servlet" % "javax.servlet-api" % "3.0.1"
    

demo1：使用Scala读取HDFS的数据：

 /** *
    * Spark读取来自HDFS的数据
    */
def readDataFromHDFS(): Unit ={
    //以standalone方式运行,提交到远程的spark集群上面
    val conf = new SparkConf().setMaster("spark://h1:7077").setAppName("load hdfs data")
    conf.setJars(Seq(jarPaths));
    //得到一个Sprak上下文
    val sc = new SparkContext(conf)
    val textFile=sc.textFile("hdfs://h1:8020/user/webmaster/crawldb/etl_monitor/part-m-00000")
    //获取第一条数据
    //val data=textFile.first()
   // println(data)
    //遍历打印
      /**

libraryDependencies+="org.apache.spark"%"spark-sql_2.11"%"2.1.0"%"provided"

libraryDependencies+="org.apache.spark"%"spark-mllib_2.11"%"2.1.0"%"provided"

libraryDependencies+="org.apache.spark"%"spark-graphx_2.11"%"2.1.0"%"provided"

libraryDependencies+="org.apache.spark"%"spark-streaming_2.11"%"2.1.0"%"provided"

libraryDependencies+="com.github.scopt"%"scopt_2.11"%"3.5.0"

libraryDependencies+="org.apache.spark"%"spark-streaming-kafka-0-8_2.11"%"2.1.0"

libraryDependencies+="org.apache.spark"%"spark-streaming-flume_2.11"%"2.1.0"