elasticsearch工作随记by CJ

0.两台机器

做elasticsearch集群使用
ip1:192.168.1.126
ip2:192.168.1.135

1.yum安装elasticsearch

下载安装公共密匙

  [root@localhost ~]#rpm --import http://packages.elasticsearch.org/GPG-KEY-elasticsearch

配置/etc/yum.repos.d/elasticsearch.repo

  [elasticsearch-1.4]
  name=Elasticsearch repository for 1.4.x packages
  baseurl=http://packages.elasticsearch.org/elasticsearch/1.4/centos
  gpgcheck=1
  gpgkey=http://packages.elasticsearch.org/GPG-KEY-elasticsearch
  enabled=1

Install

  [root@localhost ~]# yum install elasticsearch

配置/etc/elasticsearch/elasticsearch.yml
初期主要设置cluster.name，node.name。去掉#号，设置成自己想要的值。

启动elasticsearch服务

  [root@localhost ~]# service elasticsearch start  
  which: no java in (/sbin:/usr/sbin:/bin:/usr/bin)  
  Could not find any executable java binary. Please install java in your PATH or set JAVA_HOME

如果遇到此问题，请查看jdk版本，可能已被变成服务器安装时自带的低版本jdk
解决方法如下（如本身服务器已经配置妥当，请略过）：

  [root@localhost ~]# cd /usr/bin/
  [root@localhost bin]# ln -s -f /usr/local/jdk1.7.0_71/bin/javac
  [root@localhost bin]# ln -s -f /usr/local/jdk1.7.0_71/jre/bin/java
  [root@localhost bin]# service elasticsearch start  
  Starting elasticsearch:                                    [  OK  ]

开启防火墙端口
/etc/sysconfig/iptables中添加9200端口（elasticsearch默认端口）：
```
  -A INPUT -p tcp -m tcp --dport 9200 -j ACCEPT  
```
浏览器访问ip:9200
ip:9200中”status” : 200则表示OK

安装另外一台服务器，两台安装完成后需要给两台服务器配置elasticsearch互访
官网说port是范围值9300-9400，所以这边配置互访ip不指定端口
192.168.1.126：
```
  -A INPUT -s 192.168.1.135 -j ACCEPT  
```
192.168.1.135：
```
  -A INPUT -s 192.168.1.126 -j ACCEPT
```

2.elasticsearch-head安装

[root@test ~]# cd /usr/share/elasticsearch/bin/
[root@test bin]# ./plugin -install mobz/elasticsearch-head
-> Installing mobz/elasticsearch-head...
Trying https://github.com/mobz/elasticsearch-head/archive/master.zip...
Downloading ..................................DONE
Installed mobz/elasticsearch-head into /usr/share/elasticsearch/plugins/head
Identified as a _site plugin, moving to _site structure ...

安装完成之后,在浏览器输入:http://ip:9200/_plugin/head/ ,可以查看显示效果

3.bigdesk安装

[root@test bin]# ./plugin -install lukas-vlcek/bigdesk
Trying https://github.com/lukas-vlcek/bigdesk/archive/master.zip...
Downloading .............................................DONE
Installed lukas-vlcek/bigdesk into /usr/share/elasticsearch/plugins/bigdesk
Identified as a _site plugin, moving to _site structure ...

安装完成之后,在浏览器输入:http://ip:9200/_plugin/bigdesk/ ,可以查看显示效果

4.cluster.name相同，nodename不同，elasticsearch会自动集群。

http://192.168.1.126:9200/_plugin/bigdesk 这样就能看到两个node

5.安装IK中文分词插件到服务器(elasticsearch自带的分词会把中文分成一个个字而不是词组)

获取分词的依赖包

  [root@localhost caojian]# git clone https://github.com/medcl/elasticsearch-analysis-ik

打包生成elasticsearch-analysis-ik.jar

  [root@localhost caojian]# wget http://gitsea.qiniudn.com/elasticsearch-analysis-ik-1.2.6.jar

或者把上面下载的源码包打成jar包

  [root@localhost caojian]# jar cvf elasticsearch-analysis-ik.jar elasticsearch-analysis-ik

切换到/usr/share/elasticsearch/plugins 目录

  [root@localhost plugins]# mkdir analysis-ik   把jar包放到analysis-ik目录下

切换到 /etc/elasticsearch/ 目录
把elasticsearch-analysis-ik\config 下的ik文件夹拷贝到该处

编辑 /etc/elasticsearch/elasticsearch.yml,在文件末尾加上

 index:
     analysis:
         analyzer:
             ik:
                 alias: [news_analyzer_ik,ik_analyzer]
                 type: org.elasticsearch.index.analysis.IkAnalyzerProvider
 index.analysis.analyzer.default.type : "ik"

重启elasticsearch服务

  [root@localhost elasticsearch]# service elasticsearch restart

创建名为index的索引

  [root@localhost elasticsearch]# curl -XPUT http://localhost:9200/index

为索引index创建mapping

  [root@localhost elasticsearch]# curl -XPOST http://localhost:9200/index/fulltext/_mapping -d'
  {
      "fulltext": {
          "_all": {
          "analyzer": "ik"
          },
          "properties": {
              "content": {
                  "type" : "string",
                  "boost" : 8.0,
                  "term_vector" : "with_positions_offsets",
                  "analyzer" : "ik",
                  "include_in_all" : true
              }
          }
      }
  }'

测试分词结果

  [root@localhost elasticsearch]# curl 'http://localhost:9200/index/_analyze?analyzer=ik&pretty=true' -d '
  {
  	"content":"中国人民共和国"
  	}'

完成
看看是不是按照词组来分词了

6.elasticsearch的java api调用demo

下面是最近做的demo
https://github.com/CharlesCJ/es_demo

7.spring-data-elasticsearch的中间service，透明化elasticsearch

https://github.com/CharlesCJ/springes
如果只是自己使用，直接用elasticsearchTemplate比较方便。

8.后记

个人工作随记，希望对大家有帮助

Published 24 November 2014

elasticsearch