|NO.Z.00016|——————————|Deployment|——|Hadoop&OLAP数据库管理系统.v16|---------------------------------|Kylin.

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[BigDataHadoop：Hadoop&OLAP数据库管理系统.V16]                           [Deployment.OLAP数据库管理系统][|Kylin：sparkcore高可用配置|]

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一、高可用配置：spark standalone集群配置

### --- 修改 spark-env.sh 文件，并分发到集群中

[root@hadoop01 ~]# vim $SPARK_HOME/conf/spark-env.sh
# export SPARK_MASTER_HOST=hadoop01                # 注释掉这2行内容
# export SPARK_MASTER_PORT=7077                    # 注释掉这2行内容

~~~     # 最后一行添加如下内容
export SPARK_DAEMON_JAVA_OPTS="-Dspark.deploy.recoveryMode=ZOOKEEPER -Dspark.deploy.zookeeper.url=hadoop01,hadoop02,hadoop03 -Dspark.deploy.zookeeper.dir=/spark"

~~~     # 发送到其它节点

[root@hadoop01 ~]# rsync-script $SPARK_HOME/conf/spark-env.sh

二、启动集群并验证

### --- 启动 Spark 集群hadoop01

~~~     # 在Hadoop01节点上重启spark服务：需要启动hdfs/yarn/zookeeper服务
[root@hadoop01 ~]# stop-all-spark.sh
[root@hadoop01 ~]# start-all-spark.sh

~~~     # 查看服务进程

[root@hadoop00 ~]# jps
Hadoop01            Worker
Hadoop02    Master  Worker          # 此时master节点在Hadoop02上
Hadoop03            Worker

三、浏览器输入：http://hadoop01:8080/显示为：ALIVE

### --- 在Hadoop02上启动master服务
[root@hadoop02 ~]# start-master.sh
 
~~~     # 查看服务进程
[root@hadoop00 ~]# jps
Hadoop01    Master  Worker                 # 备用master节点在Hadoop01上
Hadoop02    Master  Worker                 # 此时master节点在Hadoop02上
Hadoop03            Worker

四、进入浏览器输入：http://hadoop02:8080/，此时 Master 的状态为：STANDBY五、杀死Hadoop01上 Master 进程，Hadoop02：ALIVE；http://hadoop02:8080/；Master：STANDBY六、停止spark集群

### --- 停止集群状态

~~~     # 停止spark集群
[root@hadoop02 ~]# stop-all-spark.sh
~~~     # 停止zk服务
[root@hadoop02 ~]# ./zk-all.sh stop

七、zookeeper说明

### --- 高可用（ZK、Local Flile；在ZK中记录集群的状态）

[root@hadoop02 ~]# zkCli.sh
 
[zk: localhost:2181(CONNECTED) 1] ls /              # 记录的位置
[zookeeper, spark]
[zk: localhost:2181(CONNECTED) 2] ls /spark         # 选举的信息
[leader_election, master_status]

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Walter Savage Landor:strove with none,for none was worth my strife.Nature I loved and, next to Nature, Art:I warm'd both hands before the fire of life.It sinks, and I am ready to depart                                                                                                                                                   ——W.S.Landor

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来自为知笔记(Wiz)

标签：v07,Kylin,hadoop02,hadoop01,sparkcore,sh,Hadoop02,spark,root
来源： https://www.cnblogs.com/yanqivip/p/16159227.html