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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 64
drwxrwxr-x  10 hadoop hadoop 4096 May 21 14:23 apache-storm-0.9.6
drwxrwxr-x   5 hadoop hadoop 4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop 4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop 4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop   20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop   11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop   12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop   13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop 4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop   10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop 4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop   18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop 4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop   26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop 4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop   12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop 4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop 4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx   1 hadoop hadoop   19 May 21 13:17 storm -> apache-storm-0.9.6/
lrwxrwxrwx.  1 hadoop hadoop   15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$ rz

[hadoop@master app]$ ll
total 175032
drwxrwxr-x  10 hadoop hadoop      4096 May 21 14:23 apache-storm-0.9.6
-rw-r--r--   1 hadoop hadoop 179161400 May 21 15:31 apache-storm-1.0.2.tar.gz
drwxrwxr-x   5 hadoop hadoop      4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop      4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop      4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop        20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop        11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop      4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop      4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop        12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop      4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop        13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop      4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop        10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop      4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop        11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop      4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop      4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop        18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop      4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop        26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop      4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop        12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop      4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop        11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop      4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx   1 hadoop hadoop        19 May 21 13:17 storm -> apache-storm-0.9.6/
lrwxrwxrwx.  1 hadoop hadoop        15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop      4096 Apr 12 17:13 zookeeper-3.4.6
[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 175032
drwxrwxr-x  10 hadoop hadoop      4096 May 21 14:23 apache-storm-0.9.6
-rw-r--r--   1 hadoop hadoop 179161400 May 21 15:31 apache-storm-1.0.2.tar.gz
drwxrwxr-x   5 hadoop hadoop      4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop      4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop      4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop        20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop        11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop      4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop      4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop        12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop      4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop        13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop      4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop        10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop      4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop        11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop      4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop      4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop        18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop      4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop        26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop      4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop        12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop      4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop        11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop      4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx   1 hadoop hadoop        19 May 21 13:17 storm -> apache-storm-0.9.6/
lrwxrwxrwx.  1 hadoop hadoop        15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop      4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$ tar -zxvf apache-storm-1.0.2.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 68
drwxrwxr-x   2 hadoop hadoop 4096 May 21 17:20 apache-storm-0.9.6
drwxrwxr-x  11 hadoop hadoop 4096 May 21 17:18 apache-storm-1.0.2
drwxrwxr-x   5 hadoop hadoop 4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop 4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop 4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop   20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop   11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop   12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop   13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop 4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop   10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop 4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop   18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop 4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop   26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop 4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop   12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop 4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop 4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx.  1 hadoop hadoop   15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 17:13 zookeeper-3.4.6
[hadoop@master app]$ ln -s apache-storm-1.0.2/ storm
[hadoop@master app]$ ll
total 68
drwxrwxr-x   2 hadoop hadoop 4096 May 21 17:20 apache-storm-0.9.6
drwxrwxr-x  11 hadoop hadoop 4096 May 21 17:18 apache-storm-1.0.2
drwxrwxr-x   5 hadoop hadoop 4096 May  1 15:21 azkaban
drwxrwxr-x   7 hadoop hadoop 4096 Apr 21 15:43 elasticsearch-2.4.0
drwxrwxr-x   6 hadoop hadoop 4096 Apr 21 12:12 elasticsearch-2.4.3
lrwxrwxrwx   1 hadoop hadoop   20 Apr 21 15:00 es -> elasticsearch-2.4.0/
lrwxrwxrwx   1 hadoop hadoop   11 Apr 20 12:19 flume -> flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:17 flume-1.6.0
drwxrwxr-x   7 hadoop hadoop 4096 Apr 20 12:00 flume-1.7.0
lrwxrwxrwx.  1 hadoop hadoop   12 Apr 12 11:27 hadoop -> hadoop-2.6.0
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 16:33 hadoop-2.6.0
lrwxrwxrwx.  1 hadoop hadoop   13 Apr 12 11:28 hbase -> hbase-0.98.19
drwxrwxr-x.  8 hadoop hadoop 4096 Apr 12 17:27 hbase-0.98.19
lrwxrwxrwx.  1 hadoop hadoop   10 Apr 12 11:28 hive -> hive-1.0.0
drwxrwxr-x.  8 hadoop hadoop 4096 May 14 14:08 hive-1.0.0
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 10:18 jdk -> jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Apr 11  2015 jdk1.7.0_79
drwxr-xr-x.  8 hadoop hadoop 4096 Aug  5  2015 jdk1.8.0_60
lrwxrwxrwx   1 hadoop hadoop   18 May  3 21:41 kafka -> kafka_2.11-0.8.2.2
drwxr-xr-x   6 hadoop hadoop 4096 May  3 22:01 kafka_2.11-0.8.2.2
lrwxrwxrwx   1 hadoop hadoop   26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop 4096 Nov  4  2016 kibana-4.6.3-linux-x86_64
lrwxrwxrwx   1 hadoop hadoop   12 May  1 19:35 snappy -> snappy-1.1.3
drwxr-xr-x   6 hadoop hadoop 4096 May  1 19:40 snappy-1.1.3
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop 4096 May 19 10:31 sqoop-1.4.6
lrwxrwxrwx   1 hadoop hadoop   19 May 21 17:21 storm -> apache-storm-1.0.2/
lrwxrwxrwx.  1 hadoop hadoop   15 Apr 12 11:28 zookeeper -> zookeeper-3.4.6
drwxr-xr-x. 10 hadoop hadoop 4096 Apr 12 17:13 zookeeper-3.4.6
[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 200
drwxrwxr-x  2 hadoop hadoop  4096 May 21 17:18 bin
-rw-r--r--  1 hadoop hadoop 82317 Jul 27  2016 CHANGELOG.md
drwxrwxr-x  2 hadoop hadoop  4096 May 21 17:18 conf
drwxrwxr-x  3 hadoop hadoop  4096 Jul 27  2016 examples
drwxrwxr-x 17 hadoop hadoop  4096 May 21 17:18 external
drwxrwxr-x  2 hadoop hadoop  4096 Jul 27  2016 extlib
drwxrwxr-x  2 hadoop hadoop  4096 Jul 27  2016 extlib-daemon
drwxrwxr-x  2 hadoop hadoop  4096 May 21 17:18 lib
-rw-r--r--  1 hadoop hadoop 32101 Jul 27  2016 LICENSE
drwxrwxr-x  2 hadoop hadoop  4096 May 21 17:18 log4j2
-rw-r--r--  1 hadoop hadoop   981 Jul 27  2016 NOTICE
drwxrwxr-x  6 hadoop hadoop  4096 May 21 17:18 public
-rw-r--r--  1 hadoop hadoop 15287 Jul 27  2016 README.markdown
-rw-r--r--  1 hadoop hadoop     6 Jul 27  2016 RELEASE
-rw-r--r--  1 hadoop hadoop 23774 Jul 27  2016 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 12
-rw-r--r-- 1 hadoop hadoop 1128 Jul 27  2016 storm_env.ini
-rwxr-xr-x 1 hadoop hadoop  947 Jul 27  2016 storm-env.sh
-rw-r--r-- 1 hadoop hadoop 1635 Jul 27  2016 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: 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。

 

 

 

 

 

 

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 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
[hadoop@master storm]$

 

 

 

 

 

 

 

 

2、再在slave1上启动

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

 

[hadoop@slave1 storm]$ jps
2421 NodeManager
2342 DataNode
4892 Jps
2274 QuorumPeerMain
[hadoop@slave1 storm]$ nohup bin/storm nimbus >/dev/null 2>&1 & 
[1] 4904

[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 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]$

 

 

 

 

 

 

4、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]$

 

 

 

 

 

5、在master、slave1和slave2上启动

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

 

 

 

 

 

 

 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！

posted @ 2017-05-21 16:06  大数据和AI躺过的坑  阅读(2269)  评论(0)  编辑  收藏  举报