安装elasticsearch

安装elasticsearch

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.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

http:// 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/stopwfvKhKMQord.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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