# 文本索引操作

**在本页面**

* [查询框架](#query)
* [聚合框架](#aggregation)

> **\[success] Note**
>
> 视图不支持文本搜索。

## 查询框架

使用[`$text`](https://docs.mongodb.com/master/reference/operator/query/text/#op._S_text)查询操作符对具有文本索引的集合执行文本搜索。

[`$text`](https://docs.mongodb.com/master/reference/operator/query/text/#op._S_text)将使用空格和大多数标点作为分隔符对搜索字符串进行标记，并在搜索字符串中对所有这些标记执行逻辑或操作。

例如，您可以使用以下查询来查找包含“coffee”、“shop”和“java”列表中任何术语的所有商店:

```
db.stores.find( { $text: { $search: "java coffee shop" } } )
```

使用[`$meta`](https://docs.mongodb.com/master/reference/operator/aggregation/meta/#proj._S_meta)查询操作符获取每个匹配文档的相关性分数并进行排序。例如，要按相关性排序一份coffee shops 列表，运行以下命令:

```
db.stores.find(
          { $text: { $search: "coffee shop cake" } },
          { score: { $meta: "textScore" } }
 ).sort( { score: { $meta: "textScore" } } )
```

有关 [`$text`](https://docs.mongodb.com/master/reference/operator/query/text/#op._S_text) 和[`$meta`](https://docs.mongodb.com/master/reference/operator/aggregation/meta/#proj._S_meta) 操作符的更多信息，包括限制和行为，请参见:

* [$text 参考页面](https://docs.mongodb.com/manual/reference/operator/query/text/#op._S_text)
* [$text 查询示例](https://docs.mongodb.com/manual/reference/operator/query/text/#text-query-examples)
* [$meta](https://docs.mongodb.com/manual/reference/operator/projection/meta/#proj._S_meta) projection operator

## 聚合框架

在使用[聚合](https://docs.mongodb.com/master/aggregation/)框架时，使用[`$match`](https://docs.mongodb.com/master/reference/operator/aggregation/match/#pipe._S_match) 和[`$text`](https://docs.mongodb.com/master/reference/operator/query/text/#op._S_text) 表达式来执行文本搜索查询。要按照相关性评分对结果排序，请在[`$sort`](https://docs.mongodb.com/master/reference/operator/aggregation/sort/#pipe._S_sort) 阶段使用[`$meta`](https://docs.mongodb.com/master/reference/operator/aggregation/meta/#exp._S_meta)聚合操作符

有关聚合框架中文本搜索的更多信息和示例，请参见[聚合管道中的文本搜索](https://docs.mongodb.com/manual/tutorial/text-search-in-aggregation/).。

译者：杨帅

校对：杨帅


---

# 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://docs.mongoing.com/mongodb-crud-operations/text-search/text-search-operators.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.