https://www.elastic.co/guide/en/elasticsearch/reference/current/common-options.html#fuzziness 一些查询和 API 支持使用模糊参数(fuzziness)进行不精确的模糊匹配。 在查询 text 或 keyword 字段时,fuzziness 被解释为编辑距离,也就是一个字符串需要更改的字符数,以使其与另一个字符串相同。 Fuzziness参数接受三种...
Use 'match' queries instead of 'term' queries to allow for partial matches and spelling variations. Where appropriate, include fuzziness parameters to further increase tolerance for spelling differences. For name fields or other phrases where word order matters, consider using 'match_phrase' with a ...
"query": "ucen elatic java", "fuzziness": 2, "minimum_should_match": 2 } } }} 查询结果: { "took": 19, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 1, "max_score": 0.43152314, "hits": [ { "...
当查询text或keyword字段时,模糊性被解释为Levenshtein编辑距离——需要对一个字符串进行的字符数更改,以使其与另一个字符串相同。 fuzziness可以被指定为: |0,1,2| 最大允许的 Levenshtein Edit Distance (或者编辑数) | | --- | --- | |AUTO| 根据术语的长度生成编辑距离。 可选择提供低距离和高距离参数...
Elasticsearch supports a maximum edit distance, specified with the fuzziness parameter, of 2. The fuzziness parameter can be set to AUTO, which results in the following maximum edit distances: 0 for strings of one or two characters 1 for strings of three, four, or five characters 2 for strin...
(Optional, string) Method used to rewrite the query. See the rewrite parameter for valid values and more information. If the fuzziness parameter is not 0, the match query uses a fuzzy_rewrite method of top_ter...
有关允许的设置,请参阅“Fuzziness”一节。 transpositions:如果设置为true,则换位计数为一个更改而不是两个,默认为true min_length:返回模糊suggestions前的输入的最小长度,默认值3 prefix_length:输入的最小长度(未针对模糊替代项进行检查)默认为1 unicode_aware:如果为true,则所有度量(如模糊编辑距离,置换和长度...
have higher rank than a document that contains several common terms. 3.2. fuzziness when the user makes a typo in a word, it is still possible to match it with a search by specifying a fuzziness parameter, which allows inexact matching. for string fields, fuzziness means the edit distance:...
that adding fuzziness can return unexpected results, especially at the beginning when the number of letters in the search term is small. For this reason it is advised to set a reasonably high value of “min_length”, which is the minimum length of the search term before fuzziness is applied...
ignore_pinyin_offset:after 6.0, offset is strictly constrained, overlapped tokens are not allowed, with this parameter, overlapped token will allowed by ignore offset, please note, all position related query or highlight will become incorrect, you should use multi fields and specify different setting...