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$type
$type
selects documents where the value of the 选择field
is an instance of the specified BSON type(s). field
值为指定BSON类型实例的文档。Querying by data type is useful when dealing with highly unstructured data where data types are not predictable.在处理数据类型不可预测的高度非结构化数据时,按数据类型查询非常有用。
A 单个BSON类型的$type
expression for a single BSON type has the following syntax:$type
表达式具有以下语法:
Changed in version 3.2.在版本3.2中更改。
{ field: { $type: <BSON type> } }
You can specify either the number or alias for the BSON type您可以为BSON类型指定数字或别名
The $type
expression can also accept an array of BSON types and has the following syntax:$type
表达式还可以接受BSON类型数组,并具有以下语法:
{ field: { $type: [ <BSON type1> , <BSON type2>, ... ] } }
The above query will match documents where the 上面的查询将匹配field
value is any of the listed types. field
值为任何列出类型的文档。The types specified in the array can be either numeric or string aliases.数组中指定的类型可以是数字别名或字符串别名。
See Querying by Multiple Data Type for an example.有关示例,请参阅按多个数据类型查询。
Available Types describes the BSON types and their corresponding numeric and string aliases.可用类型描述BSON类型及其相应的数字和字符串别名。
$isNumber
- $type (Aggregation)
- $type
returns documents where the BSON type of the 返回field
matches the BSON type passed to $type
.field
的BSON类型与传递给$type
的BSON类型匹配的文档。
For documents where 对于field
is an array, $type
returns documents in which at least one array element matches a type passed to $type
.field
为数组的文档,$type
返回至少有一个数组元素与传递给$type
的类型匹配的文档。
With MongoDB 3.6 and later, querying for 对于MongoDB3.6及更高版本,查询$type: "array"
returns documents where the field itself is an array. $type: "array"
将返回字段本身是数组的文档。Prior to MongoDB 3.6, 在MongoDB3.6之前,$type: "array"
returned documents where the field is an array containing at least one element of type array
. $type: "array"
返回的文档中,字段是一个至少包含一个array
类型元素的数组。For example, given the following documents:例如,给定以下文档:
{ "data" : [ "values", [ "values" ] ] } { "data" : [ "values" ] }
With MongoDB 3.6 and later, the query 对于MongoDB3.6及更高版本,查询find( {"data" : { $type : "array" } } )
returns both documents. find( {"data" : { $type : "array" } } )
返回两个文档。Prior to MongoDB 3.6, the query returns only the first document.在MongoDB 3.6之前,查询只返回第一个文档。
Starting in MongoDB 3.2, 从MongoDB3.2开始,$type
operator accepts string aliases for the BSON types in addition to the numbers corresponding to the BSON types. $type
运算符除了接受BSON类型对应的数字外,还接受BSON类的字符串别名。Previous versions only accepted the numbers corresponding to the BSON type. 以前的版本只接受与BSON类型对应的编号。[1]
Number | Alias | Notes | |
---|---|---|---|
Double | 1 | "double" | |
String | 2 | "string" | |
Object | 3 | "object" | |
Array | 4 | "array" | |
Binary data | 5 | "binData" | |
Undefined | 6 | "undefined" | Deprecated. |
ObjectId | 7 | "objectId" | |
Boolean | 8 | "bool" | |
Date | 9 | "date" | |
Null | 10 | "null" | |
Regular Expression | 11 | "regex" | |
DBPointer | 12 | "dbPointer" | Deprecated. |
JavaScript | 13 | "javascript" | |
Symbol | 14 | "symbol" | Deprecated. |
JavaScript code with scope | 15 | "javascriptWithScope" | Deprecated in MongoDB 4.4. |
32-bit integer | 16 | "int" | |
Timestamp | 17 | "timestamp" | |
64-bit integer | 18 | "long" | |
Decimal128 | 19 | "decimal" | New in version 3.4. |
Min key | -1 | "minKey" | |
Max key | 127 | "maxKey" |
$type
supports the 支持number
alias, which will match against the following BSON types:number
别名,该别名将与以下BSON类型匹配:
For examples, see Examples.有关示例,请参阅示例。
[1] | $type: 0 as a synonym for $exists:false . $type:0 作为$exists:false 的同义词。 |
$isNumber
New in MongoDB 4.4
MinKey and MaxKey are used in comparison operations and exist primarily for internal use. MinKey和MaxKey用于比较操作,主要供内部使用。For all possible BSON element values, 对于所有可能的BSON元素值,MinKey
will always be the smallest value while MaxKey
will always be the greatest value.MinKey
总是最小值,而MaxKey
总是最大值。
Querying for 使用minKey
or maxKey
with $type
will only return fields that match the special MinKey
or MaxKey
values.$type
查询minKey
或maxKey
将只返回与特殊minKey
或maxKey
值匹配的字段。
Suppose that the 假设data
collection has two documents with MinKey
and MaxKey
:data
集合有两个带有MinKey
和MaxKey
的文档:
{ "_id" : 1, x : { "$minKey" : 1 } } { "_id" : 2, y : { "$maxKey" : 1 } }
The following query will return the document with 以下查询将返回带有_id: 1
:_id:1
的文档:
db.data.find( { x: { $type: "minKey" } } )
The following query will return the document with 以下查询将返回带有_id: 2
:_id:2
的文档:
db.data.find( { y: { $type: "maxKey" } } )
The addressBook
contains addresses and zipcodes, where zipCode
has string
, int
, double
, and long
values:addressBook
包含地址和邮政编码,其中zipCode
有string
、int
、double
和long
值:
db.addressBook.insertMany( [ { "_id" : 1, address : "2030 Martian Way", zipCode : "90698345" }, { "_id" : 2, address: "156 Lunar Place", zipCode : 43339374 }, { "_id" : 3, address : "2324 Pluto Place", zipCode: NumberLong(3921412) }, { "_id" : 4, address : "55 Saturn Ring" , zipCode : NumberInt(88602117) }, { "_id" : 5, address : "104 Venus Drive", zipCode : ["834847278", "1893289032"]} ] )
The following queries return all documents where 以下查询返回所有文档,其中zipCode
is the BSON type string
or is an array containing an element of the specified type:zipCode
是BSON类型string
或是包含指定类型元素的数组:
db.addressBook.find( { "zipCode" : { $type : 2 } } ); db.addressBook.find( { "zipCode" : { $type : "string" } } );
These queries return:这些查询返回:
{ "_id" : 1, "address" : "2030 Martian Way", "zipCode" : "90698345" } { "_id" : 5, "address" : "104 Venus Drive", "zipCode" : [ "834847278", "1893289032" ] }
The following queries return all documents where 以下查询返回所有文档,其中zipCode
is the BSON type double
or is an array containing an element of the specified type:zipCode
是BSON类型的double
或是包含指定类型元素的数组:
db.addressBook.find( { "zipCode" : { $type : 1 } } ) db.addressBook.find( { "zipCode" : { $type : "double" } } )
These queries return:这些查询返回:
{ "_id" : 2, "address" : "156 Lunar Place", "zipCode" : 43339374 }
The following query uses the 以下查询使用number
alias to return documents where zipCode
is the BSON type double
, int
, or long
or is an array containing an element of the specified types:number
别名返回文档,其中zipCode
是BSON类型double
、int
或long
或是包含指定类型元素的数组:
db.addressBook.find( { "zipCode" : { $type : "number" } } )
These queries return:这些查询返回:
{ "_id" : 2, "address" : "156 Lunar Place", "zipCode" : 43339374 } { "_id" : 3, "address" : "2324 Pluto Place", "zipCode" : NumberLong(3921412) } { "_id" : 4, "address" : "55 Saturn Ring", "zipCode" : 88602117 }
The grades
collection contains names and averages, where classAverage
has string
, int
, and double
values:grades
集合包含名称和平均值,其中classAverage
具有string
、int
和double
值:
db.grades.insertMany( [ { "_id" : 1, name : "Alice King" , classAverage : 87.333333333333333 }, { "_id" : 2, name : "Bob Jenkins", classAverage : "83.52" }, { "_id" : 3, name : "Cathy Hart", classAverage: "94.06" }, { "_id" : 4, name : "Drew Williams" , classAverage : NumberInt("93") } ] )
The following queries return all documents where 以下查询返回classAverage
is the BSON type string
or double
or is an array containing an element of the specified types. classAverage
是BSON类型string
或double
或是包含指定类型元素的数组的所有文档。The first query uses numeric aliases while the second query uses string aliases.第一个查询使用数字别名,而第二个查询使用字符串别名。
db.grades.find( { "classAverage" : { $type : [ 2 , 1 ] } } ); db.grades.find( { "classAverage" : { $type : [ "string" , "double" ] } } );
These queries return the following documents:这些查询返回以下文档:
{ "_id" : 1, "name" : "Alice King", "classAverage" : 87.33333333333333 } { "_id" : 2, "name" : "Bob Jenkins", "classAverage" : "83.52" } { "_id" : 3, "name" : "Cathy Hart", "classAverage" : "94.06" }
The restaurants
collection uses minKey
for any grade that is a failing grade:restaurants
集合对任何不及格的等级使用minKey
:
{ "_id": 1, "address": { "building": "230", "coord": [ -73.996089, 40.675018 ], "street": "Huntington St", "zipcode": "11231" }, "borough": "Brooklyn", "cuisine": "Bakery", "grades": [ { "date": new Date(1393804800000), "grade": "C", "score": 15 }, { "date": new Date(1378857600000), "grade": "C", "score": 16 }, { "date": new Date(1358985600000), "grade": MinKey(), "score": 30 }, { "date": new Date(1322006400000), "grade": "C", "score": 15 } ], "name": "Dirty Dan's Donuts", "restaurant_id": "30075445" }
And 最高及格等级的任何等级的maxKey
for any grade that is the highest passing grade:maxKey
:
{ "_id": 2, "address": { "building": "1166", "coord": [ -73.955184, 40.738589 ], "street": "Manhattan Ave", "zipcode": "11222" }, "borough": "Brooklyn", "cuisine": "Bakery", "grades": [ { "date": new Date(1393804800000), "grade": MaxKey(), "score": 2 }, { "date": new Date(1378857600000), "grade": "B", "score": 6 }, { "date": new Date(1358985600000), "grade": MaxKey(), "score": 3 }, { "date": new Date(1322006400000), "grade": "B", "score": 5 } ], "name": "Dainty Daisey's Donuts", "restaurant_id": "30075449" }
The following query returns any restaurant whose 以下查询返回grades.grade
field contains minKey
or is an array containing an element of the specified type:grades.grade
字段包含minKey
或是包含指定类型元素的数组的任何餐厅:
db.restaurants.find( { "grades.grade" : { $type : "minKey" } } )
This returns这将返回
{ "_id" : 1, "address" : { "building" : "230", "coord" : [ -73.996089, 40.675018 ], "street" : "Huntington St", "zipcode" : "11231" }, "borough" : "Brooklyn", "cuisine" : "Bakery", "grades" : [ { "date" : ISODate("2014-03-03T00:00:00Z"), "grade" : "C", "score" : 15 }, { "date" : ISODate("2013-09-11T00:00:00Z"), "grade" : "C", "score" : 16 }, { "date" : ISODate("2013-01-24T00:00:00Z"), "grade" : { "$minKey" : 1 }, "score" : 30 }, { "date" : ISODate("2011-11-23T00:00:00Z"), "grade" : "C", "score" : 15 } ], "name" : "Dirty Dan's Donuts", "restaurant_id" : "30075445" }
The following query returns any restaurant whose 以下查询返回grades.grade
field contains maxKey
or is an array containing an element of the specified type:grades.grade
字段包含maxKe
y或是包含指定类型元素的数组的任何餐厅:
db.restaurants.find( { "grades.grade" : { $type : "maxKey" } } )
This returns这将返回
{ "_id" : 2, "address" : { "building" : "1166", "coord" : [ -73.955184, 40.738589 ], "street" : "Manhattan Ave", "zipcode" : "11222" }, "borough" : "Brooklyn", "cuisine" : "Bakery", "grades" : [ { "date" : ISODate("2014-03-03T00:00:00Z"), "grade" : { "$maxKey" : 1 }, "score" : 2 }, { "date" : ISODate("2013-09-11T00:00:00Z"), "grade" : "B", "score" : 6 }, { "date" : ISODate("2013-01-24T00:00:00Z"), "grade" : { "$maxKey" : 1 }, "score" : 3 }, { "date" : ISODate("2011-11-23T00:00:00Z"), "grade" : "B", "score" : 5 } ], "name" : "Dainty Daisey's Donuts", "restaurant_id" : "30075449" }
A collection named 名为SensorReading
contains the following documents:SensorReading
的集合包含以下文档:
{ "_id": 1, "readings": [ 25, 23, [ "Warn: High Temp!", 55 ], [ "ERROR: SYSTEM SHUTDOWN!", 66 ] ] }, { "_id": 2, "readings": [ 25, 25, 24, 23 ] }, { "_id": 3, "readings": [ 22, 24, [] ] }, { "_id": 4, "readings": [] }, { "_id": 5, "readings": 24 }
The following query returns any document in which the 以下查询返回readings
field is an array, empty or non-empty.readings
字段为数组(空或非空)的任何文档。
db.SensorReading.find( { "readings" : { $type: "array" } } )
The above query returns the following documents:上述查询返回以下文档:
{ "_id": 1, "readings": [ 25, 23, [ "Warn: High Temp!", 55 ], [ "ERROR: SYSTEM SHUTDOWN!", 66 ] ] }, { "_id": 2, "readings": [ 25, 25, 24, 23 ] }, { "_id": 3, "readings": [ 22, 24, [] ] }, { "_id": 4, "readings": [] }
In the documents with 在具有_id : 1
, _id : 2
, _id : 3
, and _id : 4
, the readings
field is an array._id:1
、_id:2
、_id:3
和_id:4
的文档中,读数字段是一个数组。