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Run a MongoDB Search Query运行MongoDB搜索查询

Overview概述

In this guide, you can learn how to use the Node.js driver to run MongoDB Search queries on a collection. MongoDB Search enables you to perform full-text searches on collections hosted on MongoDB Atlas. MongoDB Search indexes specify the behavior of the search and which fields to index.在本指南中，您可以学习如何使用Node.js驱动程序在集合上运行MongoDB搜索查询。MongoDB搜索使您能够对MongoDB Atlas上托管的集合执行全文搜索。MongoDB搜索索引指定搜索行为以及要索引的字段。

Sample Data样本数据

The example in this guide uses the movies collection in the sample_mflix database from the Atlas sample datasets. 本指南中的示例使用Atlas示例数据集中sample_mflix数据库中的movies集合。To learn how to create a free MongoDB Atlas cluster and load the sample datasets, see the MongoDB Get Started guide.要了解如何创建免费的MongoDB Atlas集群并加载示例数据集，请参阅MongoDB入门指南。

Run a MongoDB Search Query运行MongoDB搜索查询

This section shows how to create an aggregation pipeline to run a MongoDB Search query on a collection. In your array of pipeline stages, add the $search stage to specify the search criteria. Then, call the aggregate() method and pass your pipeline array as a parameter.本节将展示如何创建聚合管道，以便在集合上运行MongoDB搜索查询。在管道级数组中，添加$search级以指定搜索条件。然后，调用aggregate()方法并将管道数组作为参数传递。

Tip

To learn more about aggregation operations, see the Aggregation Operations guide.要了解有关聚合操作的更多信息，请参阅《聚合操作》指南。

Before running a MongoDB Search query, you must create a MongoDB Search index on your collection. 在运行MongoDB搜索查询之前，您必须在集合上创建MongoDB搜索索引。To learn how to programmatically create a MongoDB Search index, see the MongoDB Search and MongoDB Vector Search Indexes section of the Indexes guide.要了解如何以编程方式创建MongoDB搜索索引，请参阅索引指南的MongoDB搜索和MongoDB向量搜索索引部分。

MongoDB Search ExampleMongoDB搜索示例

This example runs a MongoDB Search query by performing the following actions:此示例通过执行以下操作运行MongoDB搜索查询：

  • Creates a $search stage that instructs the driver to query for documents in which the title field contains the word "Alabama"创建一个$search阶段，指示驾驶员查询title字段包含单词"Alabama"的文档
  • Creates a $project stage that instructs the driver to include the title field in the query results创建一个$project阶段，指示驱动程序在查询结果中包含title字段
  • Passes the pipeline stages to the aggregate() method and prints the results将管道阶段传递给aggregate()方法并打印结果
const pipeline = [
    {
      $search: {
        index: "default",  // Replace with your search index name替换为您的搜索索引名称
        text: {
          query: "Alabama",
          path: "title"
        }
      }
    },
    {
      $project: {
        title: 1
      }
    }
];

const cursor = collection.aggregate(pipeline);
for await (const document of cursor) {
  console.log(document);
}
{
  _id: new ObjectId('...'),
  title: 'Alabama Moon'
}
{
  _id: new ObjectId('...'),
  title: 'Crazy in Alabama'
}
{
  _id: new ObjectId('...'),
  title: 'Sweet Home Alabama'
}

Tip

Node.js Driver MongoDB Search Examples驱动程序MongoDB搜索示例

To view more examples that use the Node.js driver to perform Atlas Search queries, see MongoDB Search Tutorials in the Atlas documentation.要查看更多使用Node.js驱动程序执行Atlas搜索查询的示例，请参阅Atlas文档中的MongoDB搜索教程。

Additional Information附加信息

To learn more about MongoDB Search, see MongoDB Search in the Atlas documentation.要了解有关MongoDB搜索的更多信息，请参阅Atlas文档中的MongoDB搜索。

API Documentation文档

To learn more about the aggregate() method, see the API documentation.要了解有关aggregate()方法的更多信息，请参阅API文档。