db.collection.createSearchIndex() (mongosh method方法)

Search Index Definition Syntax搜索索引定义语法

The search index definition takes the following fields:搜索索引定义包含以下字段：

{
   analyzer: "<analyzer-for-index>",
   searchAnalyzer: "<analyzer-for-query>",
   mappings: {
      dynamic: <boolean>,
      fields: { <field-definition> }
   },
   analyzers: [ <custom-analyzer> ],
   storedSource: <boolean> | {
      <stored-source-definition>
   },
   synonyms: [ {
      name: "<synonym-mapping-name>",
      source: {
         collection: "<source-collection-name>"
      },
      analyzer: "<synonym-mapping-analyzer>"
   } ]
}

Vector Search Index Definition Syntax矢量搜索索引定义语法

The vector search index definition takes the following fields:向量搜索索引定义包含以下字段：

{
  "fields": [
    {
      "type": "vector" | "filter",
      "path": "<field-to-index>",
      "numDimensions": <number-of-dimensions>,
      "similarity": "euclidean" | "cosine" | "dotProduct"
    }
  ]
}

For explanations of vector search index definition fields, see How to Index Fields for Vector Search.有关矢量搜索索引定义字段的说明，请参阅如何为矢量搜索的字段建立索引。

Create a Search Index on All Fields在所有字段上创建搜索索引

The following example creates a search index named searchIndex01 on the movies collection:以下示例在movies集合上创建了一个名为searchIndex01的搜索索引：

db.movies.createSearchIndex(
   "searchIndex01",
   { mappings: { dynamic: true } }
)

The index definition specifies mappings: { dynamic: true }, which means that the index contains all fields in the collection that have supported data types.索引定义指定了mappings: { dynamic: true }，这意味着索引包含集合中支持数据类型的所有字段。

Create a Search Index with a Language Analyzer使用语言分析器创建搜索索引

A language analyzer introduces stop-words, which are words that are not significant enough to be indexed.语言分析器引入停用词，这些词的重要性不足以被索引。

The following example creates a search index named frenchIndex01 on the cars collection, and specifies the lucene.french analyzer on the fr field:以下示例在car集合上创建了一个名为frenchIndex01的搜索索引，并在fr字段上指定了lucene.french分析器：

db.cars.createSearchIndex(
   "frenchIndex01",
   {
      mappings: {
         fields: {
            subject: {
               fields: {
                  fr: {
                     analyzer: "lucene.french",
                     type: "string"
                  }
               },
               type: "document"
            }
         }
      }
   }
)

To learn more about language analyzers, see Language Analyzers.要了解有关语言分析器的更多信息，请参阅语言分析器。

Create a Search Index with the Default Name使用默认名称创建搜索索引

The following createSearchIndex() method only specifies the index definition and omits the index name. The command creates a search index with the name default on the food collection:以下createSearchIndex()方法仅指定索引定义，省略了索引名称。该命令在food集合上创建了一个default名称的搜索索引：

db.food.createSearchIndex(
   {
      mappings: {
         fields: {
            title: {
               type: "string"
            }
         }
      }
   }
)

Create a Vector Search Index创建矢量搜索索引

The following example creates a vector search index named vectorSearchIndex01 on the movies collection:以下示例在movies集合上创建了一个名为vectorSearchIndex01的向量搜索索引：

db.movies.createSearchIndex(
   "vectorSearchIndex01",
   "vectorSearch",
   {
      fields: [
         {
            type: "vector",
            numDimensions: 1,
            path: "genre",
            similarity: "cosine"
         }
      ]
   }
)

The vector search index contains one dimension and indexes the genre field.向量搜索索引包含一个维度，并对genre字段进行索引。