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本地部署和云部署

使用 Atlas Search 与 Atlas 部署结合

在此页面上

  • 满足先决条件
  • 查看限制
  • 创建一个 Atlas Search 索引并运行一个查询
  • 在 Atlas 部署中使用 Atlas Vector Search
  • 支持的操作

本教程向您展示如何使用 atlas deployments命令创建 Atlas Search 索引、运行查询以及使用 Atlas Vector Search。

满足先决条件

在开始之前，请完成以下步骤以满足先决条件：

重要

有关依赖项列表中每个产品的兼容性信息，请参阅该产品的安装文档。

  • 安装 Atlas CLI。

    示例 (MacOS)：

    brew install mongodb-atlas-cli

    要学习；了解其他操作系统的Atlas CLI安装说明，请参阅安装或更新Atlas CLI。

  • 安装 mongosh版本2.0或更高版本。

    示例 (MacOS)：

    brew install mongosh

    要了解其他操作系统的mongosh安装说明，请参阅安装 mongosh。

  • （可选）安装Compass版本1.39.4或更高版本。

    示例 (MacOS)：

    brew install mongodb-compass

    要了解其他操作系统的 Compass 安装说明，请参阅下载和安装 Compass。

  • 安装MongoDB database工具。

    示例 (MacOS)：

    brew tap mongodb/brew && brew install mongodb-database-tools

    要了解适用于其他操作系统的MongoDB database工具安装说明，请参阅安装Database Tools 。

  • 安装 Docker。

    注意

    Docker需要网络连接来拉取和缓存MongoDB映像。

    Podman v5.0 + Linux RHEL 版本也支持。

  • 创建 Atlas 部署。

    示例：

    atlas deployments setup

    要了解更多信息，请参阅创建本地 Atlas 部署。

    重要

    要将 Atlas CLI 与 Atlas Vector Search 一起使用，您必须使用 MongoDB 7.0.5 或更高版本创建 Atlas 部署。如果您使用早期 MongoDB 版本创建了本地 Atlas 部署，则不会自动获取最新的 MongoDB 版本。您必须删除早期镜像和部署。然后，您必须创建一个新的 Atlas 部署。

  • 下载并加载样本数据。

    示例：

    1. 执行以下命令以下载示例数据。

      curl  https://atlas-education.s3.amazonaws.com/sampledata.archive -o sampledata.archive

    2. 将以下命令复制并粘贴到终端，然后将 {port-number} 替换为部署端口：

      mongorestore --archive=sampledata.archive --port={port-number}

查看限制

适用以下限制：

  • 您无法执行并发搜索。

  • 不能超过1024个布尔子句。

创建一个 Atlas Search 索引并运行一个查询

使用atlas deployments命令可使用 Atlas Search。 要了解更多信息，请参阅Atlas Search。

可以通过以下方式运行该命令：

  • 交互模式：该命令会提示您进行 Atlas Search 设置。

    注意

    交互模式允许您使用默认设置创建基本 Atlas Search 索引。

  • 非交互模式（标志） ：使用指定选项运行命令。 该命令不会提示您提供其他值。

  • 非交互模式（配置文件） ：使用配置文件中的指定设置运行命令。 该命令不会提示您提供其他值。

请单击以下标签页之一，查看首选模式的命令。

1

创建 Atlas Search 索引。

  1. 运行以下命令：

    atlas deployments search indexes create

  2. 指定部署并按 Enter ..

  3. 将searchIndex指定为索引名称，然后按Enter 。

  4. 指定sample_mflix数据库并按Enter 。

  5. 指定moviescollection并按Enter 。

2

连接到部署。

  1. 运行以下命令以连接到部署：

    atlas deployments connect

  2. 指定要连接的部署并按 Enter..

  3. 指定 mongosh 并按 Enter..

3

切换到sample_mflix 数据库。

use sample_mflix
4

运行示例查询。

db.movies.aggregate([
  {
    $search: {
      "index": "searchIndex",
      "text": {
        "query": "baseball",
        "path": "plot"
      }
    }
  },
  {
    $limit: 5
  },
  {
    $project: {
      "_id": 0,
      "title": 1,
      "plot": 1
    }
  }
])
[
  {
    plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.',
    title: 'The Benchwarmers'
  },
  {
    plot: 'A young boy is bequeathed the ownership of a professional baseball team.',
    title: 'Little Big League'
  },
  {
    plot: 'A trained chimpanzee plays third base for a minor-league baseball team.',
    title: 'Ed'
  },
  {
    plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.',
    title: 'The Pride of the Yankees'
  },
  {
    plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.',
    title: 'The Babe'
  }
]
1

创建 Atlas Search 索引。

将以下命令复制并粘贴到终端中，并将{myRs}替换为您的部署：

atlas deployments search indexes create searchIndex --deploymentName {myRs} --db sample_mflix --collection movies
2

连接到部署。

  1. 运行以下命令以连接到部署：

    atlas deployments connect

  2. 指定要连接的部署并按 Enter..

  3. 指定 mongosh 并按 Enter..

3

切换到sample_mflix 数据库。

use sample_mflix
4

运行示例查询。

db.movies.aggregate([
  {
    $search: {
      "index": "searchIndex",
      "text": {
        "query": "baseball",
        "path": "plot"
      }
    }
  },
  {
    $limit: 5
  },
  {
    $project: {
      "_id": 0,
      "title": 1,
      "plot": 1
    }
  }
])
[
  {
    plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.',
    title: 'The Benchwarmers'
  },
  {
    plot: 'A young boy is bequeathed the ownership of a professional baseball team.',
    title: 'Little Big League'
  },
  {
    plot: 'A trained chimpanzee plays third base for a minor-league baseball team.',
    title: 'Ed'
  },
  {
    plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.',
    title: 'The Pride of the Yankees'
  },
  {
    plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.',
    title: 'The Babe'
  }
]
1

创建indexDef.json 配置文件。<a class=\" \" href=\" \" title=\" \"><svg xmlns=\" \" width=\" \" height=\" \" fill=\" \" viewbox=\" \" class=\" \" role=\" \" aria-label=\" \"><path fill=\" \" d=\" \"> <path fill=\" \" d=\" \">

{
  "collectionName": "movies",
  "database": "sample_mflix",
  "mappings": {
    "dynamic": true
  },
  "name": "searchIndex"
}
2

创建 Atlas Search 索引。

  1. 运行以下命令：

    atlas deployments search indexes create --file indexDef.json

  2. 指定部署并按Enter 。

3

连接到部署。

  1. 运行以下命令以连接到部署：

    atlas deployments connect

  2. 指定要连接的部署并按 Enter..

  3. 指定 mongosh 并按 Enter..

4

切换到sample_mflix 数据库。

use sample_mflix
5

运行示例查询。

db.movies.aggregate([
  {
    $search: {
      "index": "searchIndex",
      "text": {
        "query": "baseball",
        "path": "plot"
      }
    }
  },
  {
    $limit: 5
  },
  {
    $project: {
      "_id": 0,
      "title": 1,
      "plot": 1
    }
  }
])
[
  {
    plot: 'A trio of guys try and make up for missed opportunities in childhood by forming a three-player baseball team to compete against standard children baseball squads.',
    title: 'The Benchwarmers'
  },
  {
    plot: 'A young boy is bequeathed the ownership of a professional baseball team.',
    title: 'Little Big League'
  },
  {
    plot: 'A trained chimpanzee plays third base for a minor-league baseball team.',
    title: 'Ed'
  },
  {
    plot: 'The story of the life and career of the famed baseball player, Lou Gehrig.',
    title: 'The Pride of the Yankees'
  },
  {
    plot: 'Babe Ruth becomes a baseball legend but is unheroic to those who know him.',
    title: 'The Babe'
  }
]

在 Atlas 部署中使用 Atlas Vector Search

使用atlas deployments命令可使用 Atlas Vector Search。 要了解更多信息，请参阅如何为 Vector Atlas Search的向量嵌入创建索引。

重要

要将 Atlas CLI 与 Atlas Vector Search 一起使用，您必须使用 MongoDB 7.0.5 或更高版本创建 Atlas 部署。如果您使用早期 MongoDB 版本创建了本地 Atlas 部署，则不会自动获取最新的 MongoDB 版本。您必须删除早期镜像和部署。然后，您必须创建一个新的 Atlas 部署。

1

创建indexDef-vector.json 配置文件。<a class=\" \" href=\" \" title=\" \"><svg xmlns=\" \" width=\" \" height=\" \" fill=\" \" viewbox=\" \" class=\" \" role=\" \" aria-label=\" \"><path fill=\" \" d=\" \"> <path fill=\" \" d=\" \">

{
  "name": "vectorSearchIndex",
  "type": "vectorSearch",
  "collectionName": "embedded_movies",
  "database": "sample_mflix",
  "fields": [
    {
      "type": "vector",
      "path": "plot_embedding",
      "numDimensions": 1536,
      "similarity": "euclidean"
    }
  ]
}
2

创建 Atlas Search 索引。

  1. 运行以下命令：

    atlas deployments search indexes create --file indexDef-vector.json

  2. 指定部署并按Enter 。

3

连接到部署。

  1. 运行以下命令以连接到部署：

    atlas deployments connect

  2. 指定要连接的部署并按 Enter..

  3. 指定 mongosh 并按 Enter..

4

切换到sample_mflix 数据库。

use sample_mflix
5

运行示例查询。

重要

将包含大量数字的queryVector字段复制并粘贴到终端可能需要一些时间，具体取决于您的机器。

db.embedded_movies.aggregate([
  {
    "$vectorSearch": {
      "index": "vectorSearchIndex",
      "path": "plot_embedding",
      "queryVector": 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    plot: 'When two girls move to the country to be near their ailing mother, they have adventures with the wonderous forest spirits who live nearby.',
    title: 'My Neighbor Totoro',
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    title: 'Black Moon',
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    title: 'Forest Warrior',
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    plot: 'An adventurous girl finds another world that is a strangely idealized version of her frustrating home, but it has sinister secrets.',
    title: 'Coraline',
    score: 0.815956711769104
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    plot: "Set in a medieval village that is haunted by a werewolf, a young girl falls for an orphaned woodcutter, much to her family's displeasure.",
    title: 'Red Riding Hood',
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  },
  {
    plot: 'Their women having been enslaved by the local pack of lesbian vampires thanks to an ancient curse, the remaining menfolk of a rural town send two hapless young lads out onto the moors as a sacrifice.',
    title: 'Vampire Killers',
    score: 0.8102427124977112
  },
  {
    plot: 'In a mythical land, a man and a young boy investigate a series of unusual occurrences.',
    title: 'Tales from Earthsea',
    score: 0.8100577592849731
  },
  {
    plot: 'Because of the actions of her irresponsible parents, a young girl is left alone on a decrepit country estate and survives inside her fantastic imagination.',
    title: 'Tideland',
    score: 0.8080059885978699
  },
  {
    plot: 'Two siblings discover a supernatural escape from a troubled home, but find their bond tested when reality threatens to tear their family apart.',
    title: 'One and Two',
    score: 0.8072565197944641
  }
]

支持的操作

要了解 atlas deployments 支持的所有操作，请参阅 atlas deployments。

后退

使用 Docker 部署

来年

测试自动化