Spark安装部署-白红宇

Spark安装部署

阅读量：179 次

发布时间：2019-02-28

本文共 2801 字，大约阅读时间需要 9 分钟。

一下载Scala和Spark

[root@master opt]# wget http://downloads.lightbend.com/scala/2.11.8/scala-2.11.8.tgz[root@master opt]# wget http://d3kbcqa49mib13.cloudfront.net/spark-2.0.0-bin-hadoop2.7.tgz

二安装Scala

1 解压

[root@master opt]# tar -zxvf scala-2.11.8.tgz

2 配置环境变量

export SCALA_HOME=/opt/scala-2.11.8export PATH=$PATH:$SCALA_HOME/bin

3 测试

[root@master opt]# scalaWelcome to Scala 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_152).Type in expressions for evaluation. Or try :help.scala>

三安装Spark

1 解压

[root@master opt]# tar -zxvf spark-2.0.0-bin-hadoop2.7.tgz

2 配置环境变量

export SPARK_HOME=/opt/spark-2.0.0-bin-hadoop2.7export PATH=$PATH:$SPARK_HOME/bin

3 配置spark-env.sh

export JAVA_HOME=/opt/jdk1.8export PATH=$PATH:$JAVA_HOME/binexport SCALA_HOME=/opt/scala-2.11.8export PATH=$PATH:$SCALA_HOME/binexport SPARK_HOME=/opt/spark-2.0.0-bin-hadoop2.7export PATH=$PATH:$SPARK_HOME/bin

四启动

[root@master sbin]# ./start-all.shstarting org.apache.spark.deploy.master.Master, logging to /opt/spark-2.0.0-bin-hadoop2.7/logs/spark-root-org.apache.spark.deploy.master.Master-1-master.outlocalhost: \Slocalhost: Kernel \r on an \mlocalhost: starting org.apache.spark.deploy.worker.Worker, logging to /opt/spark-2.0.0-bin-hadoop2.7/logs/spark-root-org.apache.spark.deploy.worker.Worker-1-master.out[root@master sbin]# jps4128 Jps4049 Worker3992 Master

五测试

[root@master ~]# cat test.loghello gojavac mysql[root@master sbin]# spark-shellUsing Spark's default log4j profile: org/apache/spark/log4j-defaults.propertiesSetting default log level to "WARN".To adjust logging level use sc.setLogLevel(newLevel).18/02/03 22:25:05 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable18/02/03 22:25:08 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.Spark context Web UI available at http://192.168.0.110:4040Spark context available as 'sc' (master = local[*], app id = local-1517667907847).Spark session available as 'spark'.Welcome to      ____              __     / __/__  ___ _____/ /__    _\ \/ _ \/ _ `/ __/  '_/   /___/ .__/\_,_/_/ /_/\_\   version 2.0.0      /_/         Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_152)Type in expressions to have them evaluated.Type :help for more information.scala> var file = sc.textFile("/root/test.log");file: org.apache.spark.rdd.RDD[String] = /root/test.log MapPartitionsRDD[1] at textFile at 
    
     :24scala> file.collectres1: Array[String] = Array(hello go, java, c mysql, "", "")scala> var file = sc.textFile("hdfs://master/test.log");file: org.apache.spark.rdd.RDD[String] = hdfs://master/test.log MapPartitionsRDD[3] at textFile at 
     
      :24scala> file.collectres2: Array[String] = Array(hello go, java, c mysql, "", "")