ES查询索引字段的分词结果

一、_termvectors 

1、查看文档中某一个字段的分词结果

GET /{index}/{type}/{_id}/_termvectors?fields=[field]

2、样例：

text的值为：https://www.b4d99.com/html/202204/45672.html

GET http://IP:POST/textcontent_2022/textcontent/20220422191235893045256250/_termvectors?fields=text

得到的结果：

"terms": {"202204": {"term_freq": 1,"tokens": [{"position": 4,"start_offset": 27,"end_offset": 33}]},"45672": {"term_freq": 1,"tokens": [{"position": 5,"start_offset": 34,"end_offset": 39}]},"com": {"term_freq": 1,"tokens": [{"position": 2,"start_offset": 18,"end_offset": 21}]},"html": {"term_freq": 2,"tokens": [{"position": 3,"start_offset": 22,"end_offset": 26},{"position": 6,"start_offset": 40,"end_offset": 44}]},"https": {"term_freq": 1,"tokens": [{"position": 0,"start_offset": 0,"end_offset": 5}]},"www.b4d99": {"term_freq": 1,"tokens": [{"position": 1,"start_offset": 8,"end_offset": 17}]}
}

二、_analyze

1、语法

POST _analyze
{"analyzer": "具体的分词器","text": "待分词的内容"
}

2、样例：

text的值为：https://www.b4d99.com/html/202204/45672.html

POST _analyze
{"analyzer": "standard","text": "https://www.b4d99.com/html/202204/45672.html"
}

得到的结果：

{"tokens": [{"token": "https","start_offset": 0,"end_offset": 5,"type": "","position": 0},{"token": "www.b4d99","start_offset": 8,"end_offset": 17,"type": "","position": 1},{"token": "com","start_offset": 18,"end_offset": 21,"type": "","position": 2},{"token": "html","start_offset": 22,"end_offset": 26,"type": "","position": 3},{"token": "202204","start_offset": 27,"end_offset": 33,"type": "","position": 4},{"token": "45672","start_offset": 34,"end_offset": 39,"type": "","position": 5},{"token": "html","start_offset": 40,"end_offset": 44,"type": "","position": 6}]
}

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