# 3.5.5.复合查询(Compound queries)

复合查询用来包装其他复合或者叶子查询，一方面可综合其结果和分数，从而改变它的行为，另一方面可从查询切换到过滤器上下文。此类查询包含：

## [constant\_score 查询](https://www.elastic.co/guide/en/elasticsearch/reference/5.5/query-dsl-constant-score-query.html)

这是一个包装其他查询的查询，并且在过滤器上下文中执行。与此查询匹配的所有文件都需要返回相同的“常量”***\_score***。

## [bool 查询](https://www.elastic.co/guide/en/elasticsearch/reference/5.5/query-dsl-bool-query.html)

组合多个叶子并发查询或复合查询条件的默认查询类型，例如**must**,**should**,**must\_not**, 以及**filter**条件。 在**must**和**should**子句他们的分数相结合-匹配条件越多，预期越好-而**must\_not**和**filter**子句在过滤器上下文中执行。

## [dis\_max 查询](https://www.elastic.co/guide/en/elasticsearch/reference/5.5/query-dsl-dis-max-query.html)

支持多并发查询的查询，并可返回与任意查询条件子句匹配的任何文档类型。与**bool**查询可以将所有匹配查询的分数相结合使用的方式不同的是，**dis\_max**查询只使用最佳匹配查询条件的分数。

## [function\_score 查询](https://www.elastic.co/guide/en/elasticsearch/reference/5.5/query-dsl-function-score-query.html)

使用函数修改主查询返回的分数，以考虑诸如流行度，新近度，距离或使用脚本实现的自定义算法等因素。

## [boosting 查询](https://www.elastic.co/guide/en/elasticsearch/reference/5.5/query-dsl-boosting-query.html)

返回匹配**positive**查询的文档，并且当减少文档的分数时其结果也匹配**negative**查询。

## [indices 查询](https://www.elastic.co/guide/en/elasticsearch/reference/5.5/query-dsl-indices-query.html)

对指定的索引执行一个查询，对其他索引执行另一个查询。


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://xiaoxiami.gitbook.io/elasticsearch/ji-chu/35query-dsldslfang-shi-cha-8be229/355fu-he-cha-8be228-compound-queries.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
