Spark on Yarn环境搭建

1，解压缩spark安装文件

tar -zxvf spark-3.0.0-bin-hadoop3.2.tgz -C /opt/module

2，修改spark目录名称

mv spark-3.0.0-bin-hadoop3.2 spark-yarn

3，修改hadoop的yarn-site.xml文件，新增下面内容

<property>
	 <name>yarn.nodemanager.pmem-check-enabledname>
	 <value>falsevalue>
property>

<property>
	 <name>yarn.nodemanager.vmem-check-enabledname>
	 <value>falsevalue>
property>

4，将hadoop的yarn-site.xml配置文件分发到其它机器

xsync yarn-site.xml

5，修改spark-yarn/conf/spark-env.sh配置文件

export JAVA_HOME=/opt/module/jdk1.8.0_144
YARN_CONF_DIR=/opt/module/hadoop/etc/hadoop

6，拷贝hive的hive-site.xml配置文件到spark conf目录下

cp /opt/module/hive-3.1.2/conf/hive-site.xml /opt/module/spark-yarn/conf/

7，拷贝mysql的驱动包&hadoop的lzo jar包到spark jars目录下

cp /opt/module/hive-3.1.2/lib/mysql-connector-java-5.1.27-bin.jar /opt/module/spark-yarn/jars/
cp /opt/module/hadoop-3.1.3/share/hadoop/common/hadoop-lzo-0.4.20.jar /opt/module/spark-yarn/jars/

8，重启hadoop集群

sbin/start-dfs.sh 

# 注意：启动yarn环境一定要在部署的节点启动
sbin/start-yarn.sh