定义
$replaceRoot将输入文档替换为指定的文档。该操作会替换输入文档中的所有现有字段,包括
_id字段。您可以将现有的嵌入式文档提升到顶层,或创建新文档进行提升(请参阅示例)。注意
You can also use the
$replaceWithstage. The$replaceWithstage peforms the same action as the$replaceRootstage, but the stages have different forms.The
$replaceRootstage has the following form:{ $replaceRoot: { newRoot: <replacementDocument> } } 替换文档可以是任何解析为文档的有效表达式。如果
<replacementDocument>不是文档,则该阶段会出错并失败。有关表达式的更多信息,请参阅表达式。
行为
If the <replacementDocument> is not a document, $replaceRoot errors and fails.
If the <replacementDocument> resolves to a missing document (i.e. the document does not exist), $replaceRoot errors and fails. For example, create a collection with the following documents:
db.collection.insertMany([ { "_id": 1, "name" : { "first" : "John", "last" : "Backus" } }, { "_id": 2, "name" : { "first" : "John", "last" : "McCarthy" } }, { "_id": 3, "name": { "first" : "Grace", "last" : "Hopper" } }, { "_id": 4, "firstname": "Ole-Johan", "lastname" : "Dahl" }, ])
Then the following $replaceRoot operation fails because one of the documents does not have the name field:
db.collection.aggregate([ { $replaceRoot: { newRoot: "$name" } } ])
为了避免该错误,您可以使用$mergeObjects将name文档合并到某个默认文档中;例如:
db.collection.aggregate([ { $replaceRoot: { newRoot: { $mergeObjects: [ { _id: "$_id", first: "", last: "" }, "$name" ] } } } ])
[ { _id: 1, first: 'John', last: 'Backus' }, { _id: 2, first: 'John', last: 'McCarthy' }, { _id: 3, first: 'Grace', last: 'Hopper' }, { _id: 4, first: '', last: '' } ]
Alternatively, you can skip the documents that are missing the name field by including a $match stage to check for existence of the document field before passing documents to the $replaceRoot stage:
db.collection.aggregate([ { $match: { name : { $exists: true, $not: { $type: "array" }, $type: "object" } } }, { $replaceRoot: { newRoot: "$name" } } ])
[ { first: 'John', last: 'Backus' }, { first: 'John', last: 'McCarthy' }, { first: 'Grace', last: 'Hopper' } ]
也可以使用 $ifNull 表达式指定其他文档作为根文档;例如:
db.collection.aggregate([ { $replaceRoot: { newRoot: { $ifNull: [ "$name", { _id: "$_id", missingName: true} ] } } } ])
[ { first: 'John', last: 'Backus' }, { first: 'John', last: 'McCarthy' }, { first: 'Grace', last: 'Hopper' }, { _id: 4, missingName: true } ]
示例
$replaceRoot 具有嵌入式文档字段
一个名为 people 的集合包含以下文档:
db.people.insertMany([ { "_id" : 1, "name" : "Arlene", "age" : 34, "pets" : { "dogs" : 2, "cats" : 1 } }, { "_id" : 2, "name" : "Sam", "age" : 41, "pets" : { "cats" : 1, "fish" : 3 } }, { "_id" : 3, "name" : "Maria", "age" : 25 } ])
The following operation uses the $replaceRoot stage to replace each input document with the result of a $mergeObjects operation. The $mergeObjects expression merges the specified default document with the pets document.
db.people.aggregate( [ { $replaceRoot: { newRoot: { $mergeObjects: [ { dogs: 0, cats: 0, birds: 0, fish: 0 }, "$pets" ] } } } ] )
[ { dogs: 2, cats: 1, birds: 0, fish: 0 }, { dogs: 0, cats: 1, birds: 0, fish: 3 }, { dogs: 0, cats: 0, birds: 0, fish: 0 } ]
$replaceRoot 使用嵌套在数组中的文档
一个名为 students 的集合包含以下文档:
db.students.insertMany([ { "_id" : 1, "grades" : [ { "test": 1, "grade" : 80, "mean" : 75, "std" : 6 }, { "test": 2, "grade" : 85, "mean" : 90, "std" : 4 }, { "test": 3, "grade" : 95, "mean" : 85, "std" : 6 } ] }, { "_id" : 2, "grades" : [ { "test": 1, "grade" : 90, "mean" : 75, "std" : 6 }, { "test": 2, "grade" : 87, "mean" : 90, "std" : 3 }, { "test": 3, "grade" : 91, "mean" : 85, "std" : 4 } ] } ])
以下操作将 grade 字段大于或等于 90 的嵌入式文档提升到顶层:
db.students.aggregate( [ { $unwind: "$grades" }, { $match: { "grades.grade" : { $gte: 90 } } }, { $replaceRoot: { newRoot: "$grades" } } ] )
[ { test: 3, grade: 95, mean: 85, std: 6 }, { test: 1, grade: 90, mean: 75, std: 6 }, { test: 3, grade: 91, mean: 85, std: 4 } ]
$replaceRoot (新建文档)
您还可以在 $replaceRoot 阶段创建新文档,并用它们替换所有其他字段。
一个名为 contacts 的集合包含以下文档:
db.contacts.insertMany([ { "_id" : 1, "first_name" : "Gary", "last_name" : "Sheffield", "city" : "New York" }, { "_id" : 2, "first_name" : "Nancy", "last_name" : "Walker", "city" : "Anaheim" }, { "_id" : 3, "first_name" : "Peter", "last_name" : "Sumner", "city" : "Toledo" } ])
以下操作根据 first_name 和 last_name 字段创建新文档。
db.contacts.aggregate( [ { $replaceRoot: { newRoot: { full_name: { $concat : [ "$first_name", " ", "$last_name" ] } } } } ] )
[ { full_name: 'Gary Sheffield' }, { full_name: 'Nancy Walker' }, { full_name: 'Peter Sumner' } ]
$replaceRoot 使用一份从 $$ROOT 创建的新文档和一份默认文档
一个名为 contacts 的集合包含以下文档:
db.contacts.insertMany( [ { "_id" : 1, name: "Fred", email: "fred@example.net" }, { "_id" : 2, name: "Frank N. Stine", cell: "012-345-9999" }, { "_id" : 3, name: "Gren Dell", home: "987-654-3210", email: "beo@example.net" } ] )
The following operation uses $replaceRoot with $mergeObjects to output current documents with default values for missing fields:
db.contacts.aggregate( [ { $replaceRoot: { newRoot: { $mergeObjects: [ { _id: "", name: "", email: "", cell: "", home: "" }, "$$ROOT" ] } } } ] )
[ { _id: 1, name: 'Fred', email: 'fred@example.net', cell: '', home: '' }, { _id: 2, name: 'Frank N. Stine', email: '', cell: '012-345-9999', home: '' }, { _id: 3, name: 'Gren Dell', email: 'beo@example.net', cell: '', home: '987-654-3210' } ]
本页上的C#示例使用Atlas示例数据集中的 sample_mflix数据库。要学习;了解如何创建免费的MongoDB Atlas 群集并加载示例数据集,请参阅MongoDB .NET/ C#驱动程序文档中的入门。
以下 Movie 类对 sample_mflix.movies 集合中的文档进行建模:
[] public class Movie { [] public ObjectId Id { get; set; } [] public string Title { get; set; } = null!; [] public int? Year { get; set; } [] public int? Runtime { get; set; } [] public string? Rated { get; set; } [] public int Metacritic { get; set; } [] public string? Plot { get; set; } [] public string? Type { get; set; } [] public string[]? Cast { get; set; } [] public string[]? Directors { get; set; } [] public string[]? Writers { get; set; } [] public ImdbData? Imdb { get; set; } }
以下 ImdbData 类对嵌入的 imdb 文档进行建模:
[] public class ImdbData { [] public int? ImdbId { get; set; } [] public double? Rating { get; set; } [] public int? Votes { get; set; } }
To use the MongoDB .NET/C# driver to add a $replaceRoot stage to an aggregation pipeline, call the UnionWith() method on a PipelineDefinition object.
以下示例创建一个管道阶段,用于过滤器具有 imdb 字段的 Movie 文档,按标题对其进行排序,将结果限制为五个文档,并将每个文档替换为其嵌入的 ImdbData 文档:
var pipeline = new EmptyPipelineDefinition<Movie>() .Match(Builders<Movie>.Filter.Exists(m => m.Imdb)) .Sort(Builders<Movie>.Sort.Ascending(m => m.Title)) .Limit(5) .ReplaceRoot(m => m.Imdb);
本页上的 Node.js 示例使用 Atlas 示例数据集中的 sample_mflix数据库。要学习如何创建免费的MongoDB Atlas 集群并加载示例数据集,请参阅MongoDB Node.js驱动程序文档中的入门。
要使用MongoDB Node.js驱动程序将 $replaceRoot 阶段添加到聚合管道,请在管道对象中使用 $replaceRoot操作符。
以下示例创建一个管道阶段,该阶段将每个输入 movie 文档替换为存储在其 imdb 属性中的文档。然后,示例运行聚合管道:
const pipeline = [{ $replaceRoot: { newRoot: "$imdb" } }]; const cursor = collection.aggregate(pipeline); return cursor;
了解详情
To learn more about related pipeline stages, see the $replaceRoot guide.