Sparse Indexes稀疏索引
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Sparse indexes only contain entries for documents that have the indexed field, even if the index field contains a null value. 稀疏索引只包含具有索引字段的文档的条目,即使索引字段包含空值也是如此。The index skips over any document that is missing the indexed field. 索引跳过任何缺少索引字段的文档。The index is "sparse" because it does not include all documents of a collection. By contrast, non-sparse indexes contain all documents in a collection, storing null values for those documents that do not contain the indexed field.索引是“稀疏”的,因为它不包括集合的所有文档。相比之下,非稀疏索引包含集合中的所有文档,为不包含索引字段的文档存储空值。
MongoDB provides the option to create partial indexes. MongoDB提供了创建部分索引的选项。Partial indexes offer a superset of the functionality of sparse indexes. 部分索引提供了稀疏索引功能的超集。Partial Indexes should be preferred over sparse indexes.部分索引应该优先于稀疏索引。
Create a Sparse Index创建稀疏索引
To create a sparse index, use the 要创建稀疏索引,请使用db.collection.createIndex()
method with the sparse
option set to true
.db.collection.createIndex()
方法,sparse
选项设置为true
。
For example, the following operation in 例如,mongosh
creates a sparse index on the xmpp_id
field of the addresses
collection:mongosh
中的以下操作在addresses
集合的xmpp_id
字段上创建稀疏索引:
db.addresses.createIndex( { "xmpp_id": 1 }, { sparse: true } )
The index does not index documents that do not include the 该索引不对不包括xmpp_id
field.xmpp_id
字段的文档进行索引。
Do not confuse sparse indexes in MongoDB with block-level不要将MongoDB中的稀疏索引与其他数据库中的块级 indexes in other databases.
索引混淆。
Think of them as dense indexes with a specific filter.可以将它们视为具有特定筛选器的密集索引。
Behavior行为
Sparse Index and Incomplete Results稀疏索引与不完全结果
If a sparse index would result in an incomplete result set for queries and sort operations, MongoDB will not use that index unless a 如果稀疏索引会导致查询和排序操作的结果集不完整,MongoDB将不会使用该索引,除非hint()
explicitly specifies the index.hint()
显式指定索引。
For example, the query 例如,除非明确提示,否则查询{ x: { $exists: false } }
will not use a sparse index on the x
field unless explicitly hinted. { x: { $exists: false } }
不会在x
字段上使用稀疏索引。See Sparse Index On A Collection Cannot Return Complete Results for an example that details the behavior.有关详细行为的示例,请参阅集合上的稀疏索引无法返回完整结果。
If you include a 如果在对集合中的所有文档执行hint()
that specifies a sparse index when you perform a count()
of all documents in a collection (i.e. with an empty query predicate), the sparse index is used even if the sparse index results in an incorrect count.count()
时包含指定稀疏索引的hint()
(即使用空查询谓词),则即使稀疏索引导致计数不正确,也会使用稀疏索引。
db.collection.insertOne( { _id: 1, y: 1 } );
db.collection.createIndex( { x: 1 }, { sparse: true } );
db.collection.find().hint( { x: 1 } ).count();
To obtain the correct count, do not 为了获得正确的计数,在对集合中的所有文档执行计数时,不要使用稀疏索引hint()
with a sparse index when performing a count of all documents in a collection.hint()
。
db.collection.find().count();
db.collection.createIndex( { y: 1 } );
db.collection.find().hint( { y: 1 } ).count();
Indexes that are Sparse by Default默认情况下稀疏的索引
The following index types are always sparse:以下索引类型始终是稀疏的:
Sparse Compound Indexes稀疏复合索引
Compound indexes can contain different types of sparse indexes. 复合索引可以包含不同类型的稀疏索引。The combination of index types determines how the compound index matches documents.索引类型的组合决定了复合索引与文档的匹配方式。
This table summarizes the behavior of a compound index that contains different types of sparse indexes:此表总结了包含不同类型稀疏索引的复合索引的行为:
Geospatial indexes | geospatial fields. geospatial 字段的值时,才对其进行索引。 |
text fields. text 字段匹配时,才对其进行索引。 |
Sparse and Unique Properties稀疏性和唯一性
An index that is both sparse and unique prevents a collection from having documents with duplicate values for a field but allows multiple documents that omit the key.稀疏且唯一的索引可以防止集合中某个字段的值重复,但允许多个文档省略键。
Examples实例
Create a Sparse Index On A Collection在集合上创建稀疏索引
Consider a collection 考虑包含以下文档的scores
that contains the following documents:scores
集合:
{ "_id" : ObjectId("523b6e32fb408eea0eec2647"), "userid" : "newbie" }
{ "_id" : ObjectId("523b6e61fb408eea0eec2648"), "userid" : "abby", "score" : 82 }
{ "_id" : ObjectId("523b6e6ffb408eea0eec2649"), "userid" : "nina", "score" : 90 }
The collection has a sparse index on the field 该集合对字段score
:score
有一个稀疏索引:
db.scores.createIndex( { score: 1 } , { sparse: true } )
Then, the following query on the 然后,对scores
collection uses the sparse index to return the documents that have the score
field less than ($lt
) 90
:scores
集合的以下查询使用稀疏索引返回score
字段小于($lt
)90
的文档:
db.scores.find( { score: { $lt: 90 } } )
Because the document for the userid 由于用户ID"newbie"
does not contain the score
field and thus does not meet the query criteria, the query can use the sparse index to return the results:"newbie"
的文档不包含score
字段,因此不符合查询条件,因此查询可以使用稀疏索引返回结果:
{ "_id" : ObjectId("523b6e61fb408eea0eec2648"), "userid" : "abby", "score" : 82 }
Sparse Index On A Collection Cannot Return Complete Results集合上的稀疏索引无法返回完整结果
Consider a collection 考虑包含以下文档的scores
that contains the following documents:scores
集合:
{ "_id" : ObjectId("523b6e32fb408eea0eec2647"), "userid" : "newbie" }
{ "_id" : ObjectId("523b6e61fb408eea0eec2648"), "userid" : "abby", "score" : 82 }
{ "_id" : ObjectId("523b6e6ffb408eea0eec2649"), "userid" : "nina", "score" : 90 }
The collection has a sparse index on the field 该集合对字段score
:score
有一个稀疏索引:
db.scores.createIndex( { score: 1 } , { sparse: true } )
Because the document for the userid 因为"newbie"
does not contain the score
field, the sparse index does not contain an entry for that document.userid: "newbie"
的文档不包含score
字段,所以稀疏索引不包含该文档的条目。
Consider the following query to return all documents in the 考虑以下查询以返回scores
collection, sorted by the score
field:scores
集合中的所有文档,按score
字段排序:
db.scores.find().sort( { score: -1 } )
Even though the sort is by the indexed field, MongoDB will not select the sparse index to fulfill the query in order to return complete results:即使按索引字段排序,MongoDB也不会选择稀疏索引来完成查询,以返回完整的结果:
{ "_id" : ObjectId("523b6e6ffb408eea0eec2649"), "userid" : "nina", "score" : 90 }
{ "_id" : ObjectId("523b6e61fb408eea0eec2648"), "userid" : "abby", "score" : 82 }
{ "_id" : ObjectId("523b6e32fb408eea0eec2647"), "userid" : "newbie" }
To use the sparse index, explicitly specify the index with 要使用稀疏索引,请使用hint()
:hint()
显式指定索引:
db.scores.find().sort( { score: -1 } ).hint( { score: 1 } )
The use of the index results in the return of only those documents with the 使用索引只会返回那些带有score
field:score
字段的文档:
{ "_id" : ObjectId("523b6e6ffb408eea0eec2649"), "userid" : "nina", "score" : 90 }
{ "_id" : ObjectId("523b6e61fb408eea0eec2648"), "userid" : "abby", "score" : 82 }
See also: 另请参阅:
Sparse Index with Unique Constraint具有唯一约束的稀疏索引
Consider a collection 考虑包含以下文档的集合scores
that contains the following documents:scores
:
{ "_id" : ObjectId("523b6e32fb408eea0eec2647"), "userid" : "newbie" }
{ "_id" : ObjectId("523b6e61fb408eea0eec2648"), "userid" : "abby", "score" : 82 }
{ "_id" : ObjectId("523b6e6ffb408eea0eec2649"), "userid" : "nina", "score" : 90 }
You could create an index with a unique constraint and sparse filter on the 您可以使用以下操作在score
field using the following operation:score
字段上创建具有唯一约束和稀疏筛选器的索引:
db.scores.createIndex( { score: 1 } , { sparse: true, unique: true } )
This index would permit the insertion of documents that had unique values for the 该索引将允许插入score
field or did not include a score
field. score
字段具有唯一值或不包括score
字段的文档。As such, given the existing documents in the 因此,考虑到scores
collection, the index permits the following insert operations:scores
集合中的现有文档,索引允许以下插入操作:
db.scores.insertMany( [
{ "userid": "newbie", "score": 43 },
{ "userid": "abby", "score": 34 },
{ "userid": "nina" }
] )
However, the index would not permit the addition of the following documents since documents already exists with 然而,该索引不允许添加以下文件,因为已经存在score
value of 82
and 90
:score
值为82
和90
的文件:
db.scores.insertMany( [
{ "userid": "newbie", "score": 82 },
{ "userid": "abby", "score": 90 }
] )
Sparse and Non-Sparse Unique Indexes稀疏和非稀疏唯一索引
Starting in MongoDB 5.0, unique sparse and unique non-sparse indexes with the same key pattern can exist on a single collection.从MongoDB 5.0开始,具有相同键模式的唯一稀疏索引和唯一非稀疏索引可以存在于单个集合中。
Unique and Sparse Index Creation创建独特且稀疏的索引
This example creates multiple indexes with the same key pattern and different 此示例使用相同的键模式和不同的sparse
options:sparse
选项创建多个索引:
db.scoreHistory.createIndex( { score : 1 }, { name: "unique_index", unique: true } )
db.scoreHistory.createIndex( { score : 1 }, { name: "unique_sparse_index", unique: true, sparse: true } )
Basic and Sparse Index Creation基本和稀疏索引创建
You can also create basic indexes with the same key pattern with and without the sparse option:您还可以创建具有相同键模式的基本索引,可以使用稀疏选项,也可以不使用稀疏选项:
db.scoreHistory.createIndex( { score : 1 }, { name: "sparse_index", sparse: true } )
db.scoreHistory.createIndex( { score : 1 }, { name: "basic_index" } )