1 安装elasticsearch-analysis-ik中文分词器
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测试数据/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
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[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
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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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原文链接：https://blog.csdn.net/tototuzuoquan/article/details/80782476
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