Text Search Operators (Self-Managed Deployments)文本搜索运算符（自我管理部署）

Query Framework查询框架

Use the $text query operator to perform text searches on a collection with a text index.使用$text查询运算符可以对具有文本索引的集合执行文本搜索。

$text will tokenize the search string using whitespace and most punctuation as delimiters, and perform a logical OR of all such tokens in the search string.将使用空白和大多数标点符号作为分隔符来标记搜索字符串，并对搜索字符串中的所有此类标记执行逻辑OR。

For example, you could use the following query to find all stores containing any terms from the list "coffee", "shop", and "java" in the stores collection:例如，您可以使用以下查询来查找包含stores集合中“coffee”、“shop”和“java”列表中任何术语的所有库存：

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

Use the $meta query operator to obtain and sort by the relevance score of each matching document. For example, to order a list of coffee shops in order of relevance, run the following:使用$meta查询运算符可以获得每个匹配文档的相关性得分并进行排序。例如，要按相关顺序订购咖啡店列表，请运行以下操作：

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

For more information on the $text and $meta operators, including restrictions and behavior, see:有关$text和$meta运算符的更多信息，包括限制和行为，请参阅：

• $text Reference Page$text参考页
• $text Query Examples$text查询示例
• $meta projection operator投影算子

Aggregation Pipeline聚合管道

When working with aggregation pipelines, use $match with a $text expression to execute a text search query. 使用聚合管道时，请将$match与$text表达式一起使用，以执行文本搜索查询。To sort the results in order of relevance score, use the $meta aggregation operator in the $sort stage [1].要按相关性得分的顺序对结果进行排序，请在$sort阶段使用$meta聚合运算符[1]。

For more information and examples of text search in Aggregation Operations pipelines, see Text Search in the Aggregation Pipeline.有关聚合操作管道中文本搜索的更多信息和示例，请参阅聚合管道中的文本搜索。

For data hosted on MongoDB Atlas, Atlas Search provides the $search aggregation stage to perform full-text search on your collections.对于MongoDB Atlas上托管的数据，Atlas Search提供了$search聚合阶段，用于对您的集合执行全文搜索。