本文共 2417 字，大约阅读时间需要 8 分钟。

一、集群安装条件前置

实验spark安装在【】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

官网，由于本人使用hadoop2.6，所有下载。

（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.shvim 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8082SPARK_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 slavesvim slaves

 编辑slaves添加以下内容

hadoop01hadoop02hadoop03

（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

（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

转载地址：https://maokun.blog.csdn.net/article/details/104099237 如侵犯您的版权，请留言回复原文章的地址，我们会给您删除此文章，给您带来不便请您谅解！