kibana-4.6.3-linux-x86_64.tar.gz的安装（图文详解）（升级）

 

 

 

 

 

 前期博客

kibana-4.6.3-linux-x86_64.tar.gz的下载（图文详解）

 

 

 

 

　　因为，我的机器情况是如下：

 

 

 

 

 

　　1、上传

[hadoop@master app]$ rz

[hadoop@master app]$ ll
total 33380
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 Apr 20 11:59 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
-rw-r--r--   1 hadoop hadoop 34135857 Apr 21 22:10 kibana-4.6.3-linux-x86_64.tar.gz
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop     4096 Apr 27  2015 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]$ 

 

 

 

 　　2、解压

[hadoop@master app]$ tar -zxvf kibana-4.6.3-linux-x86_64.tar.gz 

 

 

 

 　　3、删除压缩包和赋予用户组和用户权限

 

[hadoop@master app]$ ll
total 33384
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 Apr 20 11:59 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
drwxrwxr-x  11 hadoop hadoop     4096 Nov  4 23:24 kibana-4.6.3-linux-x86_64
-rw-r--r--   1 hadoop hadoop 34135857 Apr 21 22:10 kibana-4.6.3-linux-x86_64.tar.gz
lrwxrwxrwx.  1 hadoop hadoop       11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop     4096 Apr 27  2015 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]$ rm kibana-4.6.3-linux-x86_64.tar.gz 
[hadoop@master app]$ ll
total 48
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 Apr 20 11:59 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
drwxrwxr-x  11 hadoop hadoop 4096 Nov  4 23:24 kibana-4.6.3-linux-x86_64
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop 4096 Apr 27  2015 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]$ 

 

 

 

 　　4、为了后续灵活多变，使用多版本（想变成高手的实力必备），创建软链接

大数据各子项目的环境搭建之建立软连接（博主推荐）

[hadoop@master app]$ ln -s kibana-4.6.3-linux-x86_64/ kibana
[hadoop@master app]$ ll
total 48
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 Apr 20 11:59 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   26 Apr 21 22:18 kibana -> kibana-4.6.3-linux-x86_64/
drwxrwxr-x  11 hadoop hadoop 4096 Nov  4 23:24 kibana-4.6.3-linux-x86_64
lrwxrwxrwx.  1 hadoop hadoop   11 Apr 12 11:28 sqoop -> sqoop-1.4.6
drwxr-xr-x.  9 hadoop hadoop 4096 Apr 27  2015 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]$ 

 

 

 

 

 

 

 

　　5、修改kibana的配置文件kibana.yml

kibana.yml（中文配置详解）

[hadoop@master app]$ cd kibana
[hadoop@master kibana]$ ll
total 48
drwxrwxr-x  2 hadoop hadoop 4096 Nov  4 23:24 bin
drwxrwxr-x  2 hadoop hadoop 4096 Nov  4 23:24 config
drwxrwxr-x  2 hadoop hadoop 4096 Nov  4 23:24 data
drwxrwxr-x  2 hadoop hadoop 4096 Nov  4 23:24 installedPlugins
-rw-rw-r--  1 hadoop hadoop  562 Nov  4 23:24 LICENSE.txt
drwxrwxr-x  6 hadoop hadoop 4096 Nov  4 23:24 node
drwxrwxr-x 83 hadoop hadoop 4096 Nov  4 23:24 node_modules
drwxrwxr-x  3 hadoop hadoop 4096 Nov  4 23:24 optimize
-rw-rw-r--  1 hadoop hadoop  701 Nov  4 23:24 package.json
-rw-rw-r--  1 hadoop hadoop 2322 Nov  4 23:24 README.txt
drwxrwxr-x  8 hadoop hadoop 4096 Nov  4 23:24 src
drwxrwxr-x  2 hadoop hadoop 4096 Nov  4 23:24 webpackShims
[hadoop@master kibana]$ cd config/
[hadoop@master config]$ pwd
/home/hadoop/app/kibana/config
[hadoop@master config]$ ll
total 4
-rw-rw-r-- 1 hadoop hadoop 3200 Nov  4 23:24 kibana.yml
[hadoop@master config]$ vi kibana.yml 

 

 

 

 

 　　6、配置kibana的配置文件

很多其实，我们不需改，只是Kibana需要与ElasticSearch结合，需要更改如下地方：

server.host: "192.168.80.145"    　　　　
server.port: 5601
elasticsearch.url: "http://192.168.80.145:9200"
kibana.index: ".kibana"

　　

 

 

 

 

 　　7、在kibana里安装marvel插件

bin/kibana plugin --install elasticsearch/marvel/latest

 

 

 

 

 

 

 

 

　　之后，就是启动了。

ElasticSearch、Kibana 启动（含前台和后台启动）