elasticsearch 分析器阅读笔记(五)

倒排索引

可以查看这里得分词原理https://www.cnblogs.com/LQBlog/articles/5743991.html

分析器

分析器处理过程的3步骤

1.字符过滤器:去除字符的特殊字符

2.分词器:将词组分词

3.对分词词组进行操作，比如转大写 分词后的词组替换等

ES内置的几种分析器结果

例句:Set the shape to semi-transparent by calling set_trans(5)

标准分析器

适合英文 es默认的分词器

根据单词边界分词 然后去掉特殊符号 最后转小写

分词后结果

set, the, shape, to, semi, transparent, by, calling, set_trans, 5

简单分析器

根据单词边界分词 非单词切割

分词后结果

set, the, shape, to, semi, transparent, by, calling, set, trans

语言分析器

特定语言分析器。自带一套字库

测试分析器

get请求:http://127.0.0.1:9200/_analyze

body:

{
    "analyzer":"standard",//分词器
    "text":"Set the shape to semi-transparent by calling set_trans(5)"//测试分词的fulltext
}

结果:

{
    "tokens": [
        {
            "token": "set",//被索引的词
            "start_offset": 0,//原文本起始位置
            "end_offset": 3,//原文本结束位置
            "type": "<ALPHANUM>",
            "position": 0//第几个出现
        },
        {
            "token": "the",
            "start_offset": 4,
            "end_offset": 7,
            "type": "<ALPHANUM>",
            "position": 1
        },
        {
            "token": "shape",
            "start_offset": 8,
            "end_offset": 13,
            "type": "<ALPHANUM>",
            "position": 2
        },
        {
            "token": "to",
            "start_offset": 14,
            "end_offset": 16,
            "type": "<ALPHANUM>",
            "position": 3
        },
        {
            "token": "semi",
            "start_offset": 17,
            "end_offset": 21,
            "type": "<ALPHANUM>",
            "position": 4
        },
        {
            "token": "transparent",
            "start_offset": 22,
            "end_offset": 33,
            "type": "<ALPHANUM>",
            "position": 5
        },
        {
            "token": "by",
            "start_offset": 34,
            "end_offset": 36,
            "type": "<ALPHANUM>",
            "position": 6
        },
        {
            "token": "calling",
            "start_offset": 37,
            "end_offset": 44,
            "type": "<ALPHANUM>",
            "position": 7
        },
        {
            "token": "set_trans",
            "start_offset": 45,
            "end_offset": 54,
            "type": "<ALPHANUM>",
            "position": 8
        },
        {
            "token": "5",
            "start_offset": 55,
            "end_offset": 56,
            "type": "<NUM>",
            "position": 9
        }
    ]
}

查询某个文档的分词结果 

GET /${index}/${type}/${id}/_termvectors?fields=${fields_name}