单机安装

Spark 的单机安装是很简单的

解压安装包

[root@master spark]# tar -zxvf spark-2.0.0-bin-hadoop2.6.tgz

[root@master spark]# ll
总用量 0
drwxr-xr-x. 12 500 500 193 7月  20 2016 spark-2.0.0-bin-hadoop2.6
[root@master spark]# pwd
/usr/local/src/spark

配置环境变量

[root@master spark]# vi ~/.bash_profile
    # 加入环境变量
    # Spark
    export SPARK_HOME=/usr/local/src/spark/spark-2.0.0-bin-hadoop2.6
    export PATH=$PATH:$SPARK_HOME/bin:

[root@master spark]# source ~/.bash_profile

安装测试

Spark 的 shell 命令

[root@master spark]# spark-shell
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel).
20/01/02 15:29:53 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
20/01/02 15:29:55 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
20/01/02 15:29:55 WARN SparkContext: Use an existing SparkContext, some configuration may not take effect.
Spark context Web UI available at http://192.168.176.61:4041
Spark context available as 'sc' (master = local[*], app id = local-1577950195083).
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_221)
Type in expressions to have them evaluated.
Type :help for more information.

scala> 

启动后的控制台界面和web界面，这样就算安装成功

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Spark 的集群安装

在单机模式的安装上，再进行相应的配置

修改 slaves

进入 Spakr的 conf/目录下，复制一个 slaves模板

# 复制 slaves模板
[root@master conf]# cp slaves.template slaves

# 打开 slaves
[root@master conf]# vi slaves

# 加入节点机器的映射名称，映射在配置 Hadoop集群的时候已经配置
    master
    slave1
    slave2

修改 spark-env.sh

export JAVA_HOME=/usr/lib/jvm/jdk8u191-b12
export SCALA_HOME=/home/modules/spark-2.3.0/examples/src/main/scala
export HADOOP_HOME=/home/modules/hadoop-2.8.3
export HADOOP_CONF_DIR=/home/modules/hadoop-2.8.3/etc/hadoop
export SPARK_HOME=/home/modules/spark-2.3.0
export SPARK_DIST_CLASSPATH=$(/home/modules/hadoop-2.8.3/bin/hadoop classpath)
export LD_LIBRARY_PATH=/home/modules/hadoop-2.8.3/lib/native
export YARN_CONF_DIR=/home/modules/hadoop-2.8.3/etc/hadoop
export SPARK_MASTER_IP=node1

分发配置到其他机器上

分发Spark

scp -r spark/ root@slave1:/usr/local/src/
scp -r spark/ root@slave2:/usr/local/src/

分发环境变量

scp ~/.bash_profile root@slave1:~/.bash_profile
scp ~/.bash_profile root@slave1:~/.bash_profile

启动Spark集群

进入 Spark的 sbin/目录下执行启动命令

[root@master sbin]# start-all.sh 
org.apache.spark.deploy.master.Master running as process 14018.  Stop it first.
master: org.apache.spark.deploy.worker.Worker running as process 14365.  Stop it first.
slave1: org.apache.spark.deploy.worker.Worker running as process 1952.  Stop it first.
slave2: org.apache.spark.deploy.worker.Worker running as process 2616.  Stop it first.

启动测试

个机器出现以下就是搭建成功

进入 Master:8080 查看集群模式网页

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