一、集群安装条件前置
实验spark安装在【Hadoop生态Zookeeper安装】机器上， 已完成安装zookeeper、jdk、hadoop和ssh、网络等配置环境等。
spark所依赖的虚拟机和操作系统配置
环境：ubuntu14 + spark-2.4.4-bin-hadoop2.6 + apache-zookeeper-3.5.6 + jdk1.8+ssh
虚拟机：（vmware10）
二、standalone安装环境设置
（1）下载spark
spark官网，由于本人使用hadoop2.6，所有下载spark-2.4.4-bin-hadoop2.6。
（2）上传到linux系统解压
tar xvf spark-2.4.4-bin-hadoop2.6.tar.gz
#放在统一的软件目录下
mv spark-2.4.4-bin-hadoop2.6 software/
#别名
ln -s software/spark-2.4.4-bin-hadoop2.6 spark-2.4.4（3） 配置spark-env.sh
cd ~/spark-2.4.4/conf/
cp spark-env.sh.template spark-env.sh
vim spark-env.sh编辑spark-env.sh添加以下内容
#与zk的adminServer端口8080冲突改为8082
SPARK_MASTER_WEBUI_PORT="8082"
#单机器work的数量
SPARK_WORK_INSTANCES="1"
#zk选spark主
export SPARK_DAEMON_JAVA_OPTS="-Dspark.deploy.recoveryMode=ZOOKEEPER -Dspark.deploy.zookeeper.url=hadoop01:2181,hadoop02:2181,hadoop03:2181 -Dspark.deploy.zooleeper.dir=/spark"export JAVA_HOME=/home/mk/jdk1.8（4）配置slaves
cd ~/spark-2.4.4/conf/
cp slaves.template slaves
vim slaves编辑slaves添加以下内容
hadoop01
hadoop02
hadoop03（5）复制到hadoop02、hadoop03
scp -r /home/mk/software/spark-2.4.4-bin-hadoop2.6 mk@hadoop02:/home/mk/software/
scp -r /home/mk/software/spark-2.4.4-bin-hadoop2.6 mk@hadoop03:/home/mk/software/#hadoop02机器别名
ln -s software/spark-2.4.4-bin-hadoop2.6 spark-2.4.4#hadoop03机器别名
ln -s software/spark-2.4.4-bin-hadoop2.6 spark-2.4.4
三、启动spark
（1）启动zookeeper
hadoop01、hadoop02、hadoop03分别启动zk
~/software/apache-zookeeper-3.5.6-bin/bin/zkServer.sh start（2）启动spark master
hadoop01启动master
~/spark-2.4.4/sbin/start-master.sh
hadoop02启动master
hadoop03启动master
master启动成功。
sparkUI浏览器进行访问http://hadoop01:8080/
（2）在集群主master启动worker
注意：一定要在主节点上启动worker，否则worker不能注册到主节点。
应该在启动第一个master节点的时候使用start-all.sh代替start-master.sh+start-slaves.sh，避免worker在非主节点启动注册不上
hadoop01检查
hadoop02检查
hadoop03检查
（3）运行spark计算PI例子
~/spark-2.4.4/bin/run-example --master spark://hadoop01:7077,hadoop02:7077,hadoop03:7077 SparkPi
Pi is roughly 3.1402157010785055
（4）停止hadoop01 master和worker检查主节点切换
#hadoop01停止master和worker
~/software/spark-2.4.4-bin-hadoop2.6/sbin/stop-master.sh
~/software/spark-2.4.4-bin-hadoop2.6/sbin/stop-slave.sh#hadoop03监听主节点切换日志
tail -f /home/mk/software/spark-2.4.4-bin-hadoop2.6/logs/spark-mk-org.apache.spark.deploy.worker.Worker-1-hadoop03.out
（5）在hadoop01重新执行计算PI
spark-2.4.4/bin/run-example --master spark://hadoop01:7077,hadoop02:7077,hadoop03:7077 SparkPi
（6）关闭spark
#主节点执行
~/spark-2.4.4/sbin/stop-all.sh
#或者
~/spark-2.4.4/sbin/stop-master.sh
~/spark-2.4.4/sbin/stop-slaves.sh
#其他master节点执行
~/spark-2.4.4/sbin/stop-master.sh
