1 安装elasticsearch-analysis-ik中文分词器
让客户满意是我们工作的目标，不断超越客户的期望值来自于我们对这个行业的热爱。我们立志把好的技术通过有效、简单的方式提供给客户，将通过不懈努力成为客户在信息化领域值得信任、有价值的长期合作伙伴，公司提供的服务项目有：域名与空间、雅安服务器托管、营销软件、网站建设、纳溪网站维护、网站推广。
Ik介绍：ik是一款中文的分词插件，支持自定义词库。
1.1 下载ik分词器
下载地址：https://github.com/medcl/elasticsearch-analysis-ik/releases
下载指定版本的分词器（zip版本）
1.2 解压ik分词器
[es@bigdata1 plugins]$ cd /home/es/ [es@bigdata1 ~]$ ls elasticsearch-6.2.2 jdk1.8.0_161 kibana-6.2.2-linux-x86_64.tar.gz elasticsearch-6.2.2.tar.gz jdk-8u161-linux-x64.tar.gz logstash-6.2.2.tar.gz elasticsearch-analysis-ik-6.2.2.zip kibana-6.2.2-linux-x86_64 [es@bigdata1 ~]$ unzip elasticsearch-analysis-ik-6.2.2.zip Archive: elasticsearch-analysis-ik-6.2.2.zip creating: elasticsearch/ inflating: elasticsearch/elasticsearch-analysis-ik-6.2.2.jar inflating: elasticsearch/httpclient-4.5.2.jar inflating: elasticsearch/httpcore-4.4.4.jar inflating: elasticsearch/commons-logging-1.2.jar inflating: elasticsearch/commons-codec-1.9.jar inflating: elasticsearch/plugin-descriptor.properties creating: elasticsearch/config/ inflating: elasticsearch/config/extra_single_word_full.dic inflating: elasticsearch/config/quantifier.dic inflating: elasticsearch/config/IKAnalyzer.cfg.xml inflating: elasticsearch/config/main.dic inflating: elasticsearch/config/extra_single_word_low_freq.dic inflating: elasticsearch/config/extra_stopword.dic inflating: elasticsearch/config/preposition.dic inflating: elasticsearch/config/extra_main.dic inflating: elasticsearch/config/extra_single_word.dic inflating: elasticsearch/config/suffix.dic inflating: elasticsearch/config/surname.dic inflating: elasticsearch/config/stopword.dic [es@bigdata1 ~]$ ls elasticsearch elasticsearch-analysis-ik-6.2.2.zip kibana-6.2.2-linux-x86_64 elasticsearch-6.2.2 jdk1.8.0_161 kibana-6.2.2-linux-x86_64.tar.gz elasticsearch-6.2.2.tar.gz jdk-8u161-linux-x64.tar.gz logstash-6.2.2.tar.gz [es@bigdata1 ~]$ mv elasticsearch/* ./elasticsearch-6.2.2/plugins/ik/ [es@bigdata1 ~]$ vim ./elasticsearch-6.2.2/config/elasticsearch.yml
1.3 重新启动Elasticsearch服务
ps -ef | grep elasticsearch
然后kill掉相关的进程。
然后按照18.8的方式启动elasticsearch进程
1.4 然后执行以下命令
GET _analyze
{
"analyzer":"ik_smart",
"text":"2018年5月全球编程语言排行榜"
}运行结果是：
{
"tokens": [
{
"token": "2018年",
"start_offset": 0,
"end_offset": 5,
"type": "TYPE_CQUAN",
"position": 0
},
{
"token": "5月",
"start_offset": 5,
"end_offset": 7,
"type": "TYPE_CQUAN",
"position": 1
},
{
"token": "全球",
"start_offset": 7,
"end_offset": 9,
"type": "CN_WORD",
"position": 2
},
{
"token": "编程",
"start_offset": 9,
"end_offset": 11,
"type": "CN_WORD",
"position": 3
},
{
"token": "语言",
"start_offset": 11,
"end_offset": 13,
"type": "CN_WORD",
"position": 4
},
{
"token": "排行榜",
"start_offset": 13,
"end_offset": 16,
"type": "CN_WORD",
"position": 5
}
]
}
Kibana的效果图
总结
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