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环境配置1
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| 操作系统:Cent OS 6.5
ElasticSearch:2.4.3
JDK:1.7
maven:3.3.9
elasticsearch-analysis-ik:1.4.1
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1、首先要把jdk安装好,然后下载elasticsearch-2.3.4.tar.gz
2、解压下载好的elasticsearch-2.3.4.tar.gz
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| [iyunv@localhost opt]# cd /opt/
[iyunv@localhost opt]# ls
elasticsearch-2.3.4.tar.gz git-1.8.3.2.tar.gz
[iyunv@localhost opt]# tar zxvf elasticsearch-2.3.4.tar.gz
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3、创建用户和用户组(elasticsearch 2.0.0版本后不能以root用户启动。)
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| [iyunv@localhost opt]# groupadd elsearch
[iyunv@localhost opt]# useradd elsearch -g elsearch -p elasticsearch
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4、把解压好的目录移动到/usr/local/elasticsearch
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| [iyunv@localhost opt]# mv elasticsearch-2.3.4 /usr/local/elasticsearch
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5、设置权限
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| chown -R elsearch:elsearch /usr/local/elasticsearch
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6、安装es-head插件
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| [iyunv@localhost plugins]# cd /usr/local/elasticsearch/bin/
[iyunv@localhost plugins]# ./plugin –install mobz/elasticsearch-head
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7、在浏览器中输入http://localhost:9200,http://localhost:9200/_plugin/head/如下图所示则ES启动成功。
8、若要停止服务,则输入sh elasticsearch stop
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| [iyunv@localhost opt]# cd /usr/local/elasticsearch/bin
[iyunv@localhost opt]# sh elasticsearch stop
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9、安装ik中文分词,首先要安装java 和 elasticsearch
(1)安装maven
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| [iyunv@localhost opt]# tar zxvf apache-maven-3.3.9-bin.tar.gz
[iyunv@localhost opt]# mv apache-maven-3.3.9 /usr/local/maven
[iyunv@localhost opt]# vim /etc/profile
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| export PATH=$PATH:$JAVA_HOME/bin
export M2_HOME=/usr/local/maven
PATH=$PATH:$JAVA_HOME/bin:$M2_HOME/bin
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| [iyunv@localhost opt]# source /etc/profile
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(2)安装elasticsearch-analysis-ik
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| [iyunv@localhost opt]# wget -c
[iyunv@localhost opt]# unzip master.zip
[iyunv@localhost opt]# cd elasticsearch-analysis-ik-master/
[iyunv@localhost elasticsearch-analysis-ik-master]# cp -Rf config/* ik /usr/local/elasticsearch/config/
[iyunv@localhost elasticsearch-analysis-ik-master]# mvn package
[iyunv@localhost elasticsearch-analysis-ik-master]# /usr/local/elasticsearch/bin/plugin --install analysis-ik --url file:///alidata/download/elasticsearch-analysis-ik-master/target/releases/elasticsearch-analysis-ik-1.4.1.zip
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(3)修改elasticsearch.yml,在该文件后面添加下面的内容:
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| [iyunv@localhost ~]# cd /usr/local/elasticsearch/config
[iyunv@localhost config]# vim elasticsearch.yml
index:
analysis:
analyzer:
ik:
alias: [ik_analyzer]
type: org.elasticsearch.index.analysis.IkAnalyzerProvider
ik_max_word:
type: ik
use_smart: false
ik_smart:
type: ik
use_smart: true
index.analysis.analyzer.default.type: ik
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(4)重新启动elasticsearch
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| [iyunv@localhost config]# /usr/local/elasticsearch/bin/elasticsearch -d
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(5) ik分词测试,创建一个索引,名为index
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| [iyunv@localhost config]# curl -XPUT http://localhost:9200/index
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为索引index创建mapping
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| [iyunv@localhost config]# 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
}
}
}
}'
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测试
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| [iyunv@localhost config]# curl 'http://localhost:9200/index/_analyze?analyzer=ik&pretty=true' -d '
{
"text":"www.acp.com 教程太好了受益匪浅,望ttlsa越来越好"
}'
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显示结果如下:
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| {
"tokens" : [ {
"token" : "text",
"start_offset" : 4,
"end_offset" : 8,
"type" : "ENGLISH",
"position" : 1
}, {
"token" : "www.acp.com",
"start_offset" : 11,
"end_offset" : 24,
"type" : "LETTER",
"position" : 2
}, {
"token" : "www",
"start_offset" : 11,
"end_offset" : 14,
"type" : "ENGLISH",
"position" : 3
}, {
"token" : "ttlsa",
"start_offset" : 15,
"end_offset" : 20,
"type" : "ENGLISH",
"position" : 4
}, {
"token" : "com",
"start_offset" : 21,
"end_offset" : 24,
"type" : "ENGLISH",
"position" : 5
}, {
"token" : "教程",
"start_offset" : 25,
"end_offset" : 27,
"type" : "CN_WORD",
"position" : 6
}, {
"token" : "太好了",
"start_offset" : 27,
"end_offset" : 30,
"type" : "CN_WORD",
"position" : 7
}, {
"token" : "太好",
"start_offset" : 27,
"end_offset" : 29,
"type" : "CN_WORD",
"position" : 8
}, {
"token" : "好了",
"start_offset" : 28,
"end_offset" : 30,
"type" : "CN_WORD",
"position" : 9
}, {
"token" : "受益匪浅",
"start_offset" : 30,
"end_offset" : 34,
"type" : "CN_WORD",
"position" : 10
}, {
"token" : "受益",
"start_offset" : 30,
"end_offset" : 32,
"type" : "CN_WORD",
"position" : 11
}, {
"token" : "匪",
"start_offset" : 32,
"end_offset" : 33,
"type" : "CN_CHAR",
"position" : 12
}, {
"token" : "浅",
"start_offset" : 33,
"end_offset" : 34,
"type" : "CN_CHAR",
"position" : 13
}, {
"token" : "望",
"start_offset" : 35,
"end_offset" : 36,
"type" : "CN_CHAR",
"position" : 14
}, {
"token" : "ttlsa",
"start_offset" : 36,
"end_offset" : 41,
"type" : "ENGLISH",
"position" : 15
}, {
"token" : "越来越好",
"start_offset" : 41,
"end_offset" : 45,
"type" : "CN_WORD",
"position" : 16
}, {
"token" : "越来越",
"start_offset" : 41,
"end_offset" : 44,
"type" : "CN_WORD",
"position" : 17
}, {
"token" : "越来",
"start_offset" : 41,
"end_offset" : 43,
"type" : "CN_WORD",
"position" : 18
}, {
"token" : "越好",
"start_offset" : 43,
"end_offset" : 45,
"type" : "CN_WORD",
"position" : 19
} ]
}
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