elasticsearch的Query DSL中must和filter有什么区别？ [英] What is the difference between must and filter in Query DSL in elasticsearch?

问题描述

我是弹性搜索的新手，我对must和filter感到困惑。我想在条款之间执行and操作，所以我做到了

I am new to elastic search and I am confused between must and filter. I want to perform an and operation between my terms, so I did this

POST / xyz / _search

{
    "query": {
        "bool": {
            "must": [
                {
                    "term": {
                        "city": "city1"
                    }
                },
                {
                    "term": {
                        "saleType": "sale_type1"
                    }
                }
            ]
        }
    }
}

这样就给了我所需的匹配条件，并同时使用了像这样的过滤器

which gave me the required results matching both the terms, and on using filter like this

POST / xyz / _search

{
    "query": {
        "bool": {
            "must": [
                {
                    "term": {
                        "city": "city1"
                    }
                }
            ],
            "filter": {
                "term": {
                    "saleType": "sale_type1"
                }
            }
        }
    }
}

我得到相同的结果，那么什么时候应该使用must以及什么时候应该使用filter？有什么区别？

I get the same result, so when should I use must and when should I use filter? What is the difference?

推荐答案

必须有助于得分。在过滤器中，查询的分数将被忽略。

must contributes to the score. In filter, the score of the query is ignored.

在两个必须和 filter ，子句（查询）必须出现在匹配的文档中。这就是获得相同结果的原因。

In both must and filter, the clause(query) must appear in matching documents. This is the reason for getting same results.

您可以检查此链接

得分

Score

每个文档的相关性得分由称为 _score 的正浮点数表示。 _score 越高，文档越相关。

The relevance score of each document is represented by a positive floating-point number called the _score. The higher the _score, the more relevant the document.

查询子句生成<$每个文档c $ c> _score 。

要知道如何计算分数，请参考此链接

To know how score is calculated, refer this link

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