Ubuntu16.04 下 Spark2.0.2+Hadoop2.7.3+Zookeeper3.4.9+HBase1.1.7集群环境搭建--4

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下面安装spark

     安装spark要先安装scala。

• 安装spark(2台机器配置基本相同）

#!/bin/bash
#环境变量文件
PATH_FILE="/etc/profile"
#安装包路径
SCALA_TAR="/home/hdp/Downloads/scala-2.11.8.tgz"
SCALA_INSTALL_HOME="/usr/local"
#安装包路径
SPARK_TAR="/home/hdp/Downloads/spark-2.0.2-bin-hadoop2.7.tgz"
SPARK_INSTALL_HOME="/usr/local"

#安装scala

if [ -d $SCALA_INSTALL_HOME/scala ] 
then
    sudo rm -rf $SCALA_INSTALL_HOME/scala
fi

#解压scala
sudo tar -zxvf $SCALA_TAR -C $SCALA_INSTALL_HOME

#修改文件名称
sudo mv $SCALA_INSTALL_HOME/scala-2.11.8 $SCALA_INSTALL_HOME/scala

#将scala的全部者修改成hadoop
sudo chown -R hadoop $SCALA_INSTALL_HOME/scala


#设置环境变量
if [ -z $SCALA_HOME ]  
then 
	sudo echo "export SCALA_HOME=\"$SCALA_INSTALL_HOME/scala\"" >> $PATH_FILE
	sudo echo "export PATH=\"\${SCALA_HOME}/bin:\$PATH\"" >> $PATH_FILE
	#刷新环境变量
	source /etc/profile
fi

#安装spark

if [ -d $SPARK_INSTALL_HOME/spark ] 
then
    sudo rm -rf $SPARK_INSTALL_HOME/spark
fi

#解压spark
sudo tar -zxvf $SPARK_TAR -C $SPARK_INSTALL_HOME

#修改文件名称
sudo mv $SPARK_INSTALL_HOME/spark-2.0.2-bin-hadoop2.7 $SPARK_INSTALL_HOME/spark

#将spark的全部者修改成hadoop
sudo chown -R hadoop $SPARK_INSTALL_HOME/spark

#设置环境变量
if [ -z $SPARK_HOME ]  
then 
	sudo echo "export SPARK_HOME=\"$SPARK_INSTALL_HOME/spark\"" >> $PATH_FILE
	sudo echo "export PATH=\"\${SPARK_HOME}/bin:\$PATH\"" >> $PATH_FILE
	#刷新环境变量
	source /etc/profile
fi

 

• 配置spark-env.sh,在文件后面加入下列内容：

            注意路径

• export JAVA_HOME=/usr/lib/jvm/java
  export SCALA_HOME=/usr/local/scala
  export HADOOP_HOME=/usr/local/hadoop
  export YARN_HOME=/usr/local/hadoop
  export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
  export YARN_CONF_DIR=$YARN_HOME/etc/hadoop
  export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$SCALA_HOME/bin
  export SPARK_MASTER_IP=d155
  export SPARK_LOCAL_DIRS=/usr/local/spark
  export SPARK_LIBARY_PATH=.:$JAVA_HOME/lib:$JAVA_HOME/jre/lib:$HADOOP_HOME/lib/native

  配置slaves文件。加入一行

• d156

  启动中止  ./sbin/start-all.sh     ./sbin/stop-all.sh

        检查状态

       浏览器输入  http://d155:8080/