MongoDB Search クエリの実行

Overview

In this guide, you can learn how to use the Kotlin Sync 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.

MongoDB Search クエリの実行

This section shows how to create an aggregation pipeline to run a MongoDB Search query on a collection. You can use the Aggregates.search() builder method to create a $search pipeline stage, which specifies the search criteria. Then, call the aggregate() method and pass your pipeline as a parameter.

Before running a MongoDB Search query, you must create a MongoDB Search index on your collection. To learn how to programmatically create a MongoDB Search index, see the Create a Search Index section in the Indexes guide.

val pipeline: List<Bson> = listOf(
    search(SearchOperator.text(
        fieldPath("title"), "Alabama")),
    project(Projections.include("title"))
)
val results = collection.aggregate(pipeline)
results.forEach { doc ->
    println(doc.toJson())
}

{"_id": {"$oid": "..."}, "title": "Alabama Moon"}
{"_id": {"$oid": "..."}, "title": "Crazy in Alabama"}
{"_id": {"$oid": "..."}, "title": "Sweet Home Alabama"}

MongoDB Search Metadata

searchMeta() メソッドを使用して $searchMeta パイプラインステージを作成します。このステージは Atlas の全文検索結果のメタデータのみを返します。

The following example shows the near metadata for a MongoDB Search aggregation stage:

searchMeta(
    SearchOperator.near(2010, 1, fieldPath("year"))
)

パイプライン検索ステージの作成

Kotlin Syncドライバーは次の演算子のヘルパーメソッドを提供します。

{
  "mappings": {
    "dynamic": true,
    "fields": {
      "title": {
        "analyzer": "lucene.keyword",
        "type": "string"
      },
      "genres": {
        "normalizer": "lowercase",
        "type": "token"
      }
    }
  }
}

val searchStage = Aggregates.search(
    SearchOperator.compound()
        .filter(
            listOf(
                SearchOperator.`in`(fieldPath("genres"), listOf("Comedy")),
                SearchOperator.phrase(fieldPath("fullplot"), "new york"),
                SearchOperator.numberRange(fieldPath("year")).gtLt(1950, 2000),
                SearchOperator.wildcard(fieldPath("title"), "Love *")
            )
        )
)
val projectStage = Aggregates.project(
    Projections.include("title", "year", "genres"))
val pipeline = listOf(searchStage, projectStage)
val results = collection.aggregate(pipeline)
results.forEach { result -> println(result) }

{"_id": ..., "genres": ["Comedy", "Romance"], "title": "Love at First Bite", "year": 1979}
{"_id": ..., "genres": ["Comedy", "Drama"], "title": "Love Affair", "year": 1994}

詳細情報

MongoDB Search の詳細については、Atlas ドキュメントの「 MongoDB Search 」を参照してください。