混合布尔和多重匹配/功能得分查询 [英] Mixing bool and multi match/function score query

问题描述

我目前正在执行一个包含多个匹配项和功能得分的查询。 JSON的重要部分如下所示：

I'm currently doing a query that's a mix of multi match and function score. The important bit of the JSON looks like this:

"function_score":{
    "query":{
        "query_string":{
            "query":"some query",
            "fields":["id","name","strippedDescription","colourSearch","sizeSearch"]
        }
    }
}

但是，我也想包括结果不一定与查询匹配，而是具有大于0的特定数值。我认为布尔查询可以做到这一点，但是我不知道如何将布尔查询与函数得分查询一起使用。

However, I also want to include results that don't necessarily match the query but have a particular numeric value that's greater than 0. I think a bool query would do this, but I don't know how to use a bool query with a function score query.

我知道多重匹配查询只是布尔查询的简写，我可以将多重匹配查询扩展到其布尔匹配部分，但是，我不这样做知道我将如何在其中进行功能评分。

I understand that a multi match query is just shorthand for a bool query, and I could expand out the multi match query into its bool counter-part, however, I then don't know how I would do function score within that.

有什么想法吗？顺便说一下，我的版本是1.1.0。

Any ideas? I'm on version 1.1.0 by the way.

推荐答案

知道了！我错过了可以在布尔查询中嵌套多字段查询的事实！我的最终解决方案如下：

Figured it out! I was missing the fact that you can nest multi field queries within bool queries! My final solution looks like this:

{
    "query":{
        "function_score":{
            "query":{
                "bool":{
                    "should": [
                       {
                           "range": {
                              "allBoost": {
                                 "gt": 0
                              }
                           }
                       },{
                            "multi_match":{
                                "query":"some search query",
                                "fields":[
                                    "id",
                                    "name",
                                    "description",
                                    "category"
                                ]
                            }
                       }
                    ]
                }
            },
            "functions":[
                {
                    "filter":{
                        "range": {
                            "allBoost": {
                                "gt": 0
                            }
                        }
                    },
                    "script_score":{
                        "script":"doc['allBoost'].value"
                    }
                },
                {
                    "filter":{
                        "range": {
                            "allBoost": {
                                "lte": 0
                            }
                        }
                    },
                    "script_score":{
                        "script":"_score"
                    }
                }
            ],
            "boost_mode": "replace"
        }
    }
}

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