apache-storm-1.0.2.tar.gz的集群搭建（3节点）（图文详解）（非HA和HA）

　不多说，直接上干货！

Storm的版本选取

　　我这里，是选用apache-storm-1.0.2.tar.gz

apache-storm-0.9.6.tar.gz的集群搭建（3节点）（图文详解）

　　

为什么我用过storm-0.9.6版本，我还要用storm-1.0.2？

　　storm集群也是由主节点和从节点组成的。

storm版本的变更： 
　　storm0.9.x 
　　storm0.10.x 
　　storm1.x 
　　　　前面这些版本里面storm的核心源码是由Java+clojule组成的。 
　　storm2.x 
　　　　后期这个版本就是全部用java重写了。 
　　　　（阿里在很早的时候就对storm进程了重写，提供了jstorm，后期jstorm也加入到apachestorm 
　　　　负责使用java对storm进行重写，这就是storm2.x版本的由来。） 
注意： 
　　在storm0.9.x的版本中，storm集群只支持一个nimbus节点，主节点是存在问题。 
　　在storm0.10.x以后，storm集群可以支持多个nimbus节点，其中有一个为leader，负责真正运行，其余的为offline。 
　　主节点(控制节点 master)【主节点可以有一个或者多个】 
　　　　职责：负责分发代码，监控代码的执行。 
　　　　nimbus： 
　　　　ui：可以查看集群的信息以及topology的运行情况 
　　　　logviewer：因为主节点会有多个，有时候也需要查看主节点的日志信息。 
　　从节点(工作节点 worker)【从节点可以有一个或者多个】 
　　　　职责：负责产生worker进程，执行任务。 
　　　　supervisor： 
　　　　logviewer：可以通过webui界面查看topology的运行日志

Storm的本地模式安装

　　本地模式在一个进程里面模拟一个storm集群的所有功能， 这对开发和测试来说非常方便。以本地模式运行topology跟在集群上运行topology类似。

　　要创建一个进程内“集群”，使用LocalCluster对象就可以了:

import backtype.storm.LocalCluster;
LocalCluster cluster = new LocalCluster();

　　然后可以通过LocalCluster对象的submitTopology方法来提交topology, 效果和StormSubmitter对应的方法是一样的。submitTopology方法需要三个参数: topology的名字， topology的配置以及topology对象本身。你可以通过killTopology方法来终止一个topology， 它需要一个topology名字作为参数。

　　要关闭一个本地集群，简单调用:

cluster.shutdown();

　　就可以了。

Storm的分布式模式安装（本博文）

官方安装文档

http://storm.apache.org/releases/current/Setting-up-a-Storm-cluster.html

机器情况：在master、slave1、slave2机器的/home/hadoop/app目录下分别下载storm安装包

　　本博文情况是

　　master 　　　　　　nimbus

　　slave1　　　　　　  nimbus　　　　supervisor

　　slave2　　　　　　  supervisor

 1、apache-storm-1.0.2.tar.gz的下载

http://archive.apache.org/dist/storm/apache-storm-1.0.2/

或者，直接在安装目录下，在线下载

wget http://apache.fayea.com/storm/apache-storm-1.0.2/apache-storm-1.0.2.tar.gz

　　我这里，选择先下载好，再上传安装的方式。

2、上传压缩包

[hadoop@master app]$ ll
total
drwxrwxr-x   hadoop hadoop  May  : apache-storm-0.9.
drwxrwxr-x    hadoop hadoop  May   : azkaban
drwxrwxr-x    hadoop hadoop  Apr  : elasticsearch-2.4.
drwxrwxr-x    hadoop hadoop  Apr  : elasticsearch-2.4.
lrwxrwxrwx    hadoop hadoop    Apr  : es -> elasticsearch-2.4./
lrwxrwxrwx    hadoop hadoop    Apr  : flume -> flume-1.6.
drwxrwxr-x    hadoop hadoop  Apr  : flume-1.6.
drwxrwxr-x    hadoop hadoop  Apr  : flume-1.7.
lrwxrwxrwx.   hadoop hadoop    Apr  : hadoop -> hadoop-2.6.
drwxr-xr-x.  hadoop hadoop  Apr  : hadoop-2.6.
lrwxrwxrwx.   hadoop hadoop    Apr  : hbase -> hbase-0.98.
drwxrwxr-x.   hadoop hadoop  Apr  : hbase-0.98.
lrwxrwxrwx.   hadoop hadoop    Apr  : hive -> hive-1.0.
drwxrwxr-x.   hadoop hadoop  May  : hive-1.0.
lrwxrwxrwx.   hadoop hadoop    Apr  : jdk -> jdk1..0_79
drwxr-xr-x.   hadoop hadoop  Apr    jdk1..0_79
drwxr-xr-x.   hadoop hadoop  Aug     jdk1..0_60
lrwxrwxrwx    hadoop hadoop    May   : kafka -> kafka_2.-0.8.2.2
drwxr-xr-x    hadoop hadoop  May   : kafka_2.-0.8.2.2
lrwxrwxrwx    hadoop hadoop    Apr  : kibana -> kibana-4.6.-linux-x86_64/
drwxrwxr-x   hadoop hadoop  Nov     kibana-4.6.-linux-x86_64
lrwxrwxrwx    hadoop hadoop    May   : snappy -> snappy-1.1.
drwxr-xr-x    hadoop hadoop  May   : snappy-1.1.
lrwxrwxrwx.   hadoop hadoop    Apr  : sqoop -> sqoop-1.4.
drwxr-xr-x.   hadoop hadoop  May  : sqoop-1.4.
lrwxrwxrwx    hadoop hadoop    May  : storm -> apache-storm-0.9./
lrwxrwxrwx.   hadoop hadoop    Apr  : zookeeper -> zookeeper-3.4.
drwxr-xr-x.  hadoop hadoop  Apr  : zookeeper-3.4.
[hadoop@master app]$ rz

[hadoop@master app]$ ll
total
drwxrwxr-x   hadoop hadoop       May  : apache-storm-0.9.
-rw-r--r--    hadoop hadoop  May  : apache-storm-1.0..tar.gz
drwxrwxr-x    hadoop hadoop       May   : azkaban
drwxrwxr-x    hadoop hadoop       Apr  : elasticsearch-2.4.
drwxrwxr-x    hadoop hadoop       Apr  : elasticsearch-2.4.
lrwxrwxrwx    hadoop hadoop         Apr  : es -> elasticsearch-2.4./
lrwxrwxrwx    hadoop hadoop         Apr  : flume -> flume-1.6.
drwxrwxr-x    hadoop hadoop       Apr  : flume-1.6.
drwxrwxr-x    hadoop hadoop       Apr  : flume-1.7.
lrwxrwxrwx.   hadoop hadoop         Apr  : hadoop -> hadoop-2.6.
drwxr-xr-x.  hadoop hadoop       Apr  : hadoop-2.6.
lrwxrwxrwx.   hadoop hadoop         Apr  : hbase -> hbase-0.98.
drwxrwxr-x.   hadoop hadoop       Apr  : hbase-0.98.
lrwxrwxrwx.   hadoop hadoop         Apr  : hive -> hive-1.0.
drwxrwxr-x.   hadoop hadoop       May  : hive-1.0.
lrwxrwxrwx.   hadoop hadoop         Apr  : jdk -> jdk1..0_79
drwxr-xr-x.   hadoop hadoop       Apr    jdk1..0_79
drwxr-xr-x.   hadoop hadoop       Aug     jdk1..0_60
lrwxrwxrwx    hadoop hadoop         May   : kafka -> kafka_2.-0.8.2.2
drwxr-xr-x    hadoop hadoop       May   : kafka_2.-0.8.2.2
lrwxrwxrwx    hadoop hadoop         Apr  : kibana -> kibana-4.6.-linux-x86_64/
drwxrwxr-x   hadoop hadoop       Nov     kibana-4.6.-linux-x86_64
lrwxrwxrwx    hadoop hadoop         May   : snappy -> snappy-1.1.
drwxr-xr-x    hadoop hadoop       May   : snappy-1.1.
lrwxrwxrwx.   hadoop hadoop         Apr  : sqoop -> sqoop-1.4.
drwxr-xr-x.   hadoop hadoop       May  : sqoop-1.4.
lrwxrwxrwx    hadoop hadoop         May  : storm -> apache-storm-0.9./
lrwxrwxrwx.   hadoop hadoop         Apr  : zookeeper -> zookeeper-3.4.
drwxr-xr-x.  hadoop hadoop       Apr  : zookeeper-3.4.
[hadoop@master app]$ 

　　slave1和slave2机器同样。不多赘述。

 3、解压压缩包，并赋予用户组和用户权限

[hadoop@master app]$ ll
total
drwxrwxr-x   hadoop hadoop       May  : apache-storm-0.9.
-rw-r--r--    hadoop hadoop  May  : apache-storm-1.0..tar.gz
drwxrwxr-x    hadoop hadoop       May   : azkaban
drwxrwxr-x    hadoop hadoop       Apr  : elasticsearch-2.4.
drwxrwxr-x    hadoop hadoop       Apr  : elasticsearch-2.4.
lrwxrwxrwx    hadoop hadoop         Apr  : es -> elasticsearch-2.4./
lrwxrwxrwx    hadoop hadoop         Apr  : flume -> flume-1.6.
drwxrwxr-x    hadoop hadoop       Apr  : flume-1.6.
drwxrwxr-x    hadoop hadoop       Apr  : flume-1.7.
lrwxrwxrwx.   hadoop hadoop         Apr  : hadoop -> hadoop-2.6.
drwxr-xr-x.  hadoop hadoop       Apr  : hadoop-2.6.
lrwxrwxrwx.   hadoop hadoop         Apr  : hbase -> hbase-0.98.
drwxrwxr-x.   hadoop hadoop       Apr  : hbase-0.98.
lrwxrwxrwx.   hadoop hadoop         Apr  : hive -> hive-1.0.
drwxrwxr-x.   hadoop hadoop       May  : hive-1.0.
lrwxrwxrwx.   hadoop hadoop         Apr  : jdk -> jdk1..0_79
drwxr-xr-x.   hadoop hadoop       Apr    jdk1..0_79
drwxr-xr-x.   hadoop hadoop       Aug     jdk1..0_60
lrwxrwxrwx    hadoop hadoop         May   : kafka -> kafka_2.-0.8.2.2
drwxr-xr-x    hadoop hadoop       May   : kafka_2.-0.8.2.2
lrwxrwxrwx    hadoop hadoop         Apr  : kibana -> kibana-4.6.-linux-x86_64/
drwxrwxr-x   hadoop hadoop       Nov     kibana-4.6.-linux-x86_64
lrwxrwxrwx    hadoop hadoop         May   : snappy -> snappy-1.1.
drwxr-xr-x    hadoop hadoop       May   : snappy-1.1.
lrwxrwxrwx.   hadoop hadoop         Apr  : sqoop -> sqoop-1.4.
drwxr-xr-x.   hadoop hadoop       May  : sqoop-1.4.
lrwxrwxrwx    hadoop hadoop         May  : storm -> apache-storm-0.9./
lrwxrwxrwx.   hadoop hadoop         Apr  : zookeeper -> zookeeper-3.4.
drwxr-xr-x.  hadoop hadoop       Apr  : zookeeper-3.4.
[hadoop@master app]$ tar -zxvf apache-storm-1.0..tar.gz 

　　slave1和slave2机器同样。不多赘述。

4、删除压缩包，为了更好容下多版本，创建软链接

大数据各子项目的环境搭建之建立与删除软连接（博主推荐）

[hadoop@master app]$ ll
total
drwxrwxr-x    hadoop hadoop  May  : apache-storm-0.9.
drwxrwxr-x   hadoop hadoop  May  : apache-storm-1.0.
drwxrwxr-x    hadoop hadoop  May   : azkaban
drwxrwxr-x    hadoop hadoop  Apr  : elasticsearch-2.4.
drwxrwxr-x    hadoop hadoop  Apr  : elasticsearch-2.4.
lrwxrwxrwx    hadoop hadoop    Apr  : es -> elasticsearch-2.4./
lrwxrwxrwx    hadoop hadoop    Apr  : flume -> flume-1.6.
drwxrwxr-x    hadoop hadoop  Apr  : flume-1.6.
drwxrwxr-x    hadoop hadoop  Apr  : flume-1.7.
lrwxrwxrwx.   hadoop hadoop    Apr  : hadoop -> hadoop-2.6.
drwxr-xr-x.  hadoop hadoop  Apr  : hadoop-2.6.
lrwxrwxrwx.   hadoop hadoop    Apr  : hbase -> hbase-0.98.
drwxrwxr-x.   hadoop hadoop  Apr  : hbase-0.98.
lrwxrwxrwx.   hadoop hadoop    Apr  : hive -> hive-1.0.
drwxrwxr-x.   hadoop hadoop  May  : hive-1.0.
lrwxrwxrwx.   hadoop hadoop    Apr  : jdk -> jdk1..0_79
drwxr-xr-x.   hadoop hadoop  Apr    jdk1..0_79
drwxr-xr-x.   hadoop hadoop  Aug     jdk1..0_60
lrwxrwxrwx    hadoop hadoop    May   : kafka -> kafka_2.-0.8.2.2
drwxr-xr-x    hadoop hadoop  May   : kafka_2.-0.8.2.2
lrwxrwxrwx    hadoop hadoop    Apr  : kibana -> kibana-4.6.-linux-x86_64/
drwxrwxr-x   hadoop hadoop  Nov     kibana-4.6.-linux-x86_64
lrwxrwxrwx    hadoop hadoop    May   : snappy -> snappy-1.1.
drwxr-xr-x    hadoop hadoop  May   : snappy-1.1.
lrwxrwxrwx.   hadoop hadoop    Apr  : sqoop -> sqoop-1.4.
drwxr-xr-x.   hadoop hadoop  May  : sqoop-1.4.
lrwxrwxrwx.   hadoop hadoop    Apr  : zookeeper -> zookeeper-3.4.
drwxr-xr-x.  hadoop hadoop  Apr  : zookeeper-3.4.
[hadoop@master app]$ ln -s apache-storm-1.0./ storm
[hadoop@master app]$ ll
total
drwxrwxr-x    hadoop hadoop  May  : apache-storm-0.9.
drwxrwxr-x   hadoop hadoop  May  : apache-storm-1.0.
drwxrwxr-x    hadoop hadoop  May   : azkaban
drwxrwxr-x    hadoop hadoop  Apr  : elasticsearch-2.4.
drwxrwxr-x    hadoop hadoop  Apr  : elasticsearch-2.4.
lrwxrwxrwx    hadoop hadoop    Apr  : es -> elasticsearch-2.4./
lrwxrwxrwx    hadoop hadoop    Apr  : flume -> flume-1.6.
drwxrwxr-x    hadoop hadoop  Apr  : flume-1.6.
drwxrwxr-x    hadoop hadoop  Apr  : flume-1.7.
lrwxrwxrwx.   hadoop hadoop    Apr  : hadoop -> hadoop-2.6.
drwxr-xr-x.  hadoop hadoop  Apr  : hadoop-2.6.
lrwxrwxrwx.   hadoop hadoop    Apr  : hbase -> hbase-0.98.
drwxrwxr-x.   hadoop hadoop  Apr  : hbase-0.98.
lrwxrwxrwx.   hadoop hadoop    Apr  : hive -> hive-1.0.
drwxrwxr-x.   hadoop hadoop  May  : hive-1.0.
lrwxrwxrwx.   hadoop hadoop    Apr  : jdk -> jdk1..0_79
drwxr-xr-x.   hadoop hadoop  Apr    jdk1..0_79
drwxr-xr-x.   hadoop hadoop  Aug     jdk1..0_60
lrwxrwxrwx    hadoop hadoop    May   : kafka -> kafka_2.-0.8.2.2
drwxr-xr-x    hadoop hadoop  May   : kafka_2.-0.8.2.2
lrwxrwxrwx    hadoop hadoop    Apr  : kibana -> kibana-4.6.-linux-x86_64/
drwxrwxr-x   hadoop hadoop  Nov     kibana-4.6.-linux-x86_64
lrwxrwxrwx    hadoop hadoop    May   : snappy -> snappy-1.1.
drwxr-xr-x    hadoop hadoop  May   : snappy-1.1.
lrwxrwxrwx.   hadoop hadoop    Apr  : sqoop -> sqoop-1.4.
drwxr-xr-x.   hadoop hadoop  May  : sqoop-1.4.
lrwxrwxrwx    hadoop hadoop    May  : storm -> apache-storm-1.0./
lrwxrwxrwx.   hadoop hadoop    Apr  : zookeeper -> zookeeper-3.4.
drwxr-xr-x.  hadoop hadoop  Apr  : zookeeper-3.4.
[hadoop@master app]$ 

　　slave1和slave2机器同样。不多赘述。

5、修改配置环境

[hadoop@master app]$ su root
Password:
[root@master app]# vim /etc/profile

　　slave1和slave2机器同样。不多赘述

#storm
export STORM_HOME=/home/hadoop/app/storm
export PATH=$PATH:$STORM_HOME/bin

　　slave1和slave2机器同样。不多赘述

[hadoop@master app]$ su root
Password:
[root@master app]# vim /etc/profile
[root@master app]# source /etc/profile
[root@master app]# 

　　　slave1和slave2机器同样。不多赘述

6、下载好Storm集群所需的其他

　　因为博主我的机器是CentOS6.5，已经自带了

[hadoop@master ~]$ python
Python 2.6.6 (r266:84292, Nov 22 2013, 12:16:22)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-4)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> 

7、配置storm的配置文件

[hadoop@master storm]$ pwd
/home/hadoop/app/storm
[hadoop@master storm]$ ll
total
drwxrwxr-x   hadoop hadoop   May  : bin
-rw-r--r--   hadoop hadoop  Jul    CHANGELOG.md
drwxrwxr-x   hadoop hadoop   May  : conf
drwxrwxr-x   hadoop hadoop   Jul    examples
drwxrwxr-x  hadoop hadoop   May  : external
drwxrwxr-x   hadoop hadoop   Jul    extlib
drwxrwxr-x   hadoop hadoop   Jul    extlib-daemon
drwxrwxr-x   hadoop hadoop   May  : lib
-rw-r--r--   hadoop hadoop  Jul    LICENSE
drwxrwxr-x   hadoop hadoop   May  : log4j2
-rw-r--r--   hadoop hadoop    Jul    NOTICE
drwxrwxr-x   hadoop hadoop   May  : public
-rw-r--r--   hadoop hadoop  Jul    README.markdown
-rw-r--r--   hadoop hadoop      Jul    RELEASE
-rw-r--r--   hadoop hadoop  Jul    SECURITY.md
[hadoop@master storm]$ 

进入storm配置目录下，修改配置文件storm.yaml

[hadoop@master conf]$ pwd
/home/hadoop/app/storm/conf
[hadoop@master conf]$ ll
total
-rw-r--r--  hadoop hadoop  Jul    storm_env.ini
-rwxr-xr-x  hadoop hadoop   Jul    storm-env.sh
-rw-r--r--  hadoop hadoop  Jul    storm.yaml
[hadoop@master conf]$ vim storm.yaml 

　　slave1和slave2机器同样。不多赘述

　　　这里，教给大家一个非常好的技巧。

大数据搭建各个子项目时配置文件技巧（适合CentOS和Ubuntu系统）（博主推荐）

注意第一列需要一个空格

注意第一列需要一个空格（HA）

 storm.zookeeper.servers:
     - "master"
     - "slave1"
     - "slave2"

 nimbus.seeds: ["master", "slave1"]
 ui.port: 

 storm.local.dir: "/home/hadoop/data/storm"

 supervisor.slots.ports:
     -
     -
     -
     - 

　　注意：我的这里ui.port选定为9999，是自定义，为了解决Storm 和spark默认的 8080 端口冲突！

　　slave1和slave2机器同样。不多赘述。

注意第一列需要一个空格（非HA）

 storm.zookeeper.servers:
     - "master"
     - "slave1"
     - "slave2"

 nimbus.seeds: ["master"]
 ui.port: 9999

 storm.local.dir: "/home/hadoop/data/storm"

 supervisor.slots.ports:
     - 6700
     - 6701
     - 6702
     - 6703

　　注意：我的这里ui.port选定为9999，是自定义，为了解决Storm 和spark默认的 8080 端口冲突！

　　slave1和slave2机器同样。不多赘述。

8、新建storm数据存储的路径目录

[hadoop@master conf]$ mkdir -p /home/hadoop/data/storm

　　slave1和slave2机器同样。不多赘述

 9、启动storm集群（HA）

　本博文情况是

　　master（主） 　　　　　　nimbus

　　slave1（主）（从）　　　　　　  nimbus　　　　supervisor

　　slave2（从）　　　　　　  supervisor

1、先在master上启动 

nohup bin/storm nimbus >/dev/null >& & 

[hadoop@master storm]$ jps
 QuorumPeerMain
 Jps
 AzkabanWebServer
 ResourceManager
 AzkabanExecutorServer
 NameNode
 SecondaryNameNode
[hadoop@master storm]$ nohup bin/storm nimbus >/dev/null >& &
[]
[hadoop@master storm]$ jps
 QuorumPeerMain
 Jps
 config_value
 AzkabanWebServer
 ResourceManager
 AzkabanExecutorServer
 NameNode
 SecondaryNameNode
[hadoop@master storm]$

2、再在slave1上启动

nohup bin/storm nimbus >/dev/null >& & 

[hadoop@slave1 storm]$ jps
 NodeManager
 DataNode
 Jps
 QuorumPeerMain
[hadoop@slave1 storm]$ nohup bin/storm nimbus >/dev/null >& &
[] 

[hadoop@slave1 storm]$ jps
2421 NodeManager
5244 Jps
2342 DataNode
5135 nimbus
5234 config_value
2274 QuorumPeerMain

3、先在slave1和slave2上启动

nohup bin/storm supervisor >/dev/null >& & 

[hadoop@slave2 storm]$ jps
 Jps
 supervisor
 NodeManager
 DataNode
 QuorumPeerMain
[hadoop@slave2 storm]$ nohup bin/storm supervisor >/dev/null >& &
[]
[hadoop@slave2 storm]$ jps
 Jps
 supervisor
 NodeManager
 DataNode
 QuorumPeerMain
[hadoop@slave2 storm]$ 

4、在master上启动

nohup bin/storm ui>/dev/null >& & 

[hadoop@master storm]$ jps
 config_value
 QuorumPeerMain
 supervisor
 AzkabanWebServer
 ResourceManager
 Jps
 AzkabanExecutorServer
 config_value
 core
 NameNode
 SecondaryNameNode
[hadoop@master storm]$ nohup bin/storm ui>/dev/null >& &
[]
[hadoop@master storm]$ jps
 QuorumPeerMain
 supervisor
 Jps
 AzkabanWebServer
 ResourceManager
 AzkabanExecutorServer
 core
 NameNode
 config_value
 SecondaryNameNode
 config_value
[hadoop@master storm]$ 

5、在master、slave1和slave2上启动

nohup bin/storm logviwer >/dev/null >& & 

 9、启动storm集群（非HA）

　本博文情况是

　　master（主） 　　　　　　nimbus

　　slave1（主）（从）　　　  supervisor

　　slave2（从）　　　　　　  supervisor

1、先在master上启动 

nohup bin/storm nimbus >/dev/null 2>&1 & 

[hadoop@master storm]$ jps
2374 QuorumPeerMain
7862 Jps
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ nohup bin/storm nimbus >/dev/null 2>&1 &
[1] 7876
[hadoop@master storm]$ jps
2374 QuorumPeerMain
7905 Jps
7910 config_value
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
2515 NameNode
2671 SecondaryNameNode
9743 nimbus
[hadoop@master storm]$

2、先在slave1和slave2上启动

nohup bin/storm supervisor >/dev/null 2>&1 & 

[hadoop@slave2 storm]$ jps
4868 Jps
4089 supervisor
2365 NodeManager
2291 DataNode
2229 QuorumPeerMain
[hadoop@slave2 storm]$ nohup bin/storm supervisor >/dev/null 2>&1 &
[1] 4903
[hadoop@slave2 storm]$ jps
4918 Jps
4089 supervisor
2365 NodeManager
2291 DataNode
2229 QuorumPeerMain
[hadoop@slave2 storm]$ 

3、在master上启动

nohup bin/storm ui>/dev/null 2>&1 & 

[hadoop@master storm]$ jps
8550 config_value
2374 QuorumPeerMain
8113 supervisor
3343 AzkabanWebServer
2813 ResourceManager
8560 Jps
3401 AzkabanExecutorServer
8524 config_value
8372 core
2515 NameNode
2671 SecondaryNameNode
[hadoop@master storm]$ nohup bin/storm ui>/dev/null 2>&1 &
[7] 8582
[hadoop@master storm]$ jps
2374 QuorumPeerMain
8113 supervisor
8623 Jps
3343 AzkabanWebServer
2813 ResourceManager
3401 AzkabanExecutorServer
8372 core
2515 NameNode
8597 config_value
2671 SecondaryNameNode
8613 config_value
[hadoop@master storm]$ 

4、在master、slave1和slave2上启动

nohup bin/storm logviwer >/dev/null 2>&1 & 

　　成功！