假如我们只有3台linux虚拟机，主机名分别为hadoop01、hadoop02和hadoop03，在这3台机器上，hadoop集群的部署情况如下：

hadoop01：1个namenode，1个datanode，1个journalnode，1个zkfc，1个resourcemanager，1个nodemanager；

hadoop02：1个namenode，1个datanode，1个journalnode，1个zkfc，1个resourcemanager，1个nodemanager；

hadoop03：1个datenode，1个journalnode，1个nodemanager；

 

下面我们来介绍启动hdfs和yarn的一些命令。

 

1.启动hdfs集群（使用hadoop的批量启动脚本）

/root/apps/hadoop/sbin/start-dfs.sh

[root@hadoop01 ~]# /root/apps/hadoop/sbin/start-dfs.sh 
Starting namenodes on [hadoop01 hadoop02]
hadoop01: starting namenode, logging to /root/apps/hadoop/logs/hadoop-root-namenode-hadoop01.out
hadoop02: starting namenode, logging to /root/apps/hadoop/logs/hadoop-root-namenode-hadoop02.out
hadoop03: starting datanode, logging to /root/apps/hadoop/logs/hadoop-root-datanode-hadoop03.out
hadoop02: starting datanode, logging to /root/apps/hadoop/logs/hadoop-root-datanode-hadoop02.out
hadoop01: starting datanode, logging to /root/apps/hadoop/logs/hadoop-root-datanode-hadoop01.out
Starting journal nodes [hadoop01 hadoop02 hadoop03]
hadoop03: starting journalnode, logging to /root/apps/hadoop/logs/hadoop-root-journalnode-hadoop03.out
hadoop02: starting journalnode, logging to /root/apps/hadoop/logs/hadoop-root-journalnode-hadoop02.out
hadoop01: starting journalnode, logging to /root/apps/hadoop/logs/hadoop-root-journalnode-hadoop01.out
Starting ZK Failover Controllers on NN hosts [hadoop01 hadoop02]
hadoop01: starting zkfc, logging to /root/apps/hadoop/logs/hadoop-root-zkfc-hadoop01.out
hadoop02: starting zkfc, logging to /root/apps/hadoop/logs/hadoop-root-zkfc-hadoop02.out
[root@hadoop01 ~]# 

从上面的启动日志可以看出，start-dfs.sh这个启动脚本是通过ssh对多个节点的namenode、datanode、journalnode以及zkfc进程进行批量启动的。

 

2.停止hdfs集群（使用hadoop的批量启动脚本）

/root/apps/hadoop/sbin/stop-dfs.sh 

[root@hadoop01 ~]# /root/apps/hadoop/sbin/stop-dfs.sh 
Stopping namenodes on [hadoop01 hadoop02]
hadoop02: stopping namenode
hadoop01: stopping namenode
hadoop02: stopping datanode
hadoop03: stopping datanode
hadoop01: stopping datanode
Stopping journal nodes [hadoop01 hadoop02 hadoop03]
hadoop03: stopping journalnode
hadoop02: stopping journalnode
hadoop01: stopping journalnode
Stopping ZK Failover Controllers on NN hosts [hadoop01 hadoop02]
hadoop01: stopping zkfc
hadoop02: stopping zkfc
[root@hadoop01 ~]# 

3.启动单个进程

[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /root/apps/hadoop/logs/hadoop-root-namenode-hadoop01.out

[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start namenode
starting namenode, logging to /root/apps/hadoop/logs/hadoop-root-namenode-hadoop02.out

[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start datanode
starting datanode, logging to /root/apps/hadoop/logs/hadoop-root-datanode-hadoop01.out

[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start datanode
starting datanode, logging to /root/apps/hadoop/logs/hadoop-root-datanode-hadoop02.out

[root@hadoop03 apps]# /root/apps/hadoop/sbin/hadoop-daemon.sh start datanode
starting datanode, logging to /root/apps/hadoop/logs/hadoop-root-datanode-hadoop03.out

[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start journalnode
starting journalnode, logging to /root/apps/hadoop/logs/hadoop-root-journalnode-hadoop01.out

[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start journalnode
starting journalnode, logging to /root/apps/hadoop/logs/hadoop-root-journalnode-hadoop02.out

[root@hadoop03 apps]# /root/apps/hadoop/sbin/hadoop-daemon.sh start journalnode
starting journalnode, logging to /root/apps/hadoop/logs/hadoop-root-journalnode-hadoop03.out

[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start zkfc
starting zkfc, logging to /root/apps/hadoop/logs/hadoop-root-zkfc-hadoop01.out

[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh start zkfc
starting zkfc, logging to /root/apps/hadoop/logs/hadoop-root-zkfc-hadoop02.out

 分别查看启动后3台虚拟机上的进程情况：

[root@hadoop01 ~]# jps
6695 DataNode
2002 QuorumPeerMain
6879 DFSZKFailoverController
7035 Jps
6800 JournalNode
6580 NameNode
[root@hadoop01 ~]# 

 

[root@hadoop02 ~]# jps
6360 JournalNode
6436 DFSZKFailoverController
2130 QuorumPeerMain
6541 Jps
6255 DataNode
6155 NameNode
[root@hadoop02 ~]# 

 

[root@hadoop03 apps]# jps
5331 Jps
5103 DataNode
5204 JournalNode
2258 QuorumPeerMain
[root@hadoop03 apps]# 

 

3.停止单个进程

[root@hadoop01 ~]# jps
6695 DataNode
2002 QuorumPeerMain
8486 Jps
6879 DFSZKFailoverController
6800 JournalNode
6580 NameNode
[root@hadoop01 ~]# 
[root@hadoop01 ~]# 
[root@hadoop01 ~]# 
[root@hadoop01 ~]# 
[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop zkfc
stopping zkfc
[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop journalnode
stopping journalnode
[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop datanode
stopping datanode
[root@hadoop01 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop namenode
stopping namenode
[root@hadoop01 ~]# jps
2002 QuorumPeerMain
8572 Jps
[root@hadoop01 ~]# 

 

[root@hadoop02 ~]# jps
6360 JournalNode
6436 DFSZKFailoverController
2130 QuorumPeerMain
7378 Jps
6255 DataNode
6155 NameNode
[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop zkfc
stopping zkfc
[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop journalnode
stopping journalnode
[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop datanode
stopping datanode
[root@hadoop02 ~]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop namenode
stopping namenode
[root@hadoop02 ~]# jps
7455 Jps
2130 QuorumPeerMain
[root@hadoop02 ~]# 

 

[root@hadoop03 apps]# jps
5103 DataNode
5204 JournalNode
5774 Jps
2258 QuorumPeerMain
[root@hadoop03 apps]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop journalnode
stopping journalnode
[root@hadoop03 apps]# /root/apps/hadoop/sbin/hadoop-daemon.sh stop datanode
stopping datanode
[root@hadoop03 apps]# jps
5818 Jps
2258 QuorumPeerMain
[root@hadoop03 apps]# 

 

 

3.启动yarn集群（使用hadoop的批量启动脚本）

/root/apps/hadoop/sbin/start-yarn.sh 

 

[root@hadoop01 ~]# /root/apps/hadoop/sbin/start-yarn.sh 
starting yarn daemons
starting resourcemanager, logging to /root/apps/hadoop/logs/yarn-root-resourcemanager-hadoop01.out
hadoop03: starting nodemanager, logging to /root/apps/hadoop/logs/yarn-root-nodemanager-hadoop03.out
hadoop02: starting nodemanager, logging to /root/apps/hadoop/logs/yarn-root-nodemanager-hadoop02.out
hadoop01: starting nodemanager, logging to /root/apps/hadoop/logs/yarn-root-nodemanager-hadoop01.out
[root@hadoop01 ~]# 

 

从上面的启动日志可以看出，start-yarn.sh启动脚本只在本地启动一个ResourceManager进程，而3台机器上的nodemanager都是通过ssh的方式启动的。所以hadoop02机器上的ResourceManager需要我们手动去启动。

4.启动hadoop02上的ResourceManager进程

/root/apps/hadoop/sbin/yarn-daemon.sh start resourcemanager

 

 

 5.停止yarn

/root/apps/hadoop/sbin/stop-yarn.sh

[root@hadoop01 ~]# /root/apps/hadoop/sbin/stop-yarn.sh 
stopping yarn daemons
stopping resourcemanager
hadoop01: stopping nodemanager
hadoop03: stopping nodemanager
hadoop02: stopping nodemanager
no proxyserver to stop
[root@hadoop01 ~]# 

 

 通过上面的停止日志可以看出，stop-yarn.sh脚本只停止了本地的那个ResourceManager进程，所以hadoop02上的那个resourcemanager我们需要单独去停止。

 

6.停止hadoop02上的resourcemanager

/root/apps/hadoop/sbin/yarn-daemon.sh stop resourcemanager

 

 

注意：启动和停止单个hdfs相关的进程使用的是"hadoop-daemon.sh"脚本，而启动和停止yarn使用的是"yarn-daemon.sh"脚本。

 

 

启动JobHistoryServer

./mr-jobhistory-daemon.sh start historyserver

停止JobHistoryServer

./mr-jobhistory-daemon.sh stop historyserver