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$type

Definition定义

$type

$type selects documents where the value of the field is an instance of the specified BSON type(s). 选择field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,按数据类型进行查询非常有用。

A $type expression for a single BSON type has the following syntax:单个BSON类型$type表达式具有以下语法:

{ field: { $type: <BSON type> } }

You can specify either the number or alias for the BSON type您可以指定BSON类型的编号或别名

The $type expression can also accept an array of BSON types and has the following syntax:$type表达式也可以接受BSON类型的数组,并具有以下语法:

{ field: { $type: [ <BSON type1> , <BSON type2>, ... ] } }

The above query will match documents where the field value is any of the listed types. 上面的查询将匹配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,也可以是字符串别名。

See Querying by Multiple Data Type for an example.示例请参见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。

Tip

See also: 另请参阅:

  • $isNumber - checks if the argument is a number. 检查参数是否为数字。New in MongoDB 4.4MongoDB 4.4中的新增功能
  • $type (Aggregation) - returns the BSON type of the argument.返回参数的BSON类型。

Behavior行为

$type returns documents where the BSON type of the field matches the BSON type passed to $type.返回field的BSON类型与传递给$type的BSON匹配的文档。

Arrays数组

For documents where field is an array, $type returns documents in which at least one array element matches a type passed to $type.对于field为数组的文档,$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。

Queries for $type: "array" return documents where the field itself is an array.$type: "array"的查询返回字段本身是数组的文档。

Available Types可用类型

The $type operator accepts string aliases for the BSON types in addition to the numbers corresponding to the BSON types. $type运算符除了接受与BSON类型对应的数字之外,还接受BSON类型的字符串别名。[1]

Type类型NumberAliasNotes备注
Double1"double"
String2"string"
Object3"object"
Array4"array"
Binary data5"binData"
Undefined6"undefined"Deprecated.
ObjectId7"objectId"
Boolean8"bool"
Date9"date"
Null10"null"
Regular Expression11"regex"
DBPointer12"dbPointer"Deprecated.
JavaScript13"javascript"
Symbol14"symbol"Deprecated.
JavaScript code with scope15"javascriptWithScope"Deprecated in MongoDB 4.4.
32-bit integer16"int"
Timestamp17"timestamp"
64-bit integer18"long"
Decimal12819"decimal"
Min key-1"minKey"
Max key127"maxKey"

$type supports the number alias, which will match against the following BSON types:支持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] Starting in MongoDB 4.2, users can no longer use the query filter $type: 0 as a synonym for $exists:false. 从MongoDB 4.2开始,用户不能再使用查询筛选器$type:0作为$exists:false的同义词。To query for null or missing fields, see Query for Null or Missing Fields.若要查询null或缺少的字段,请参阅查询null或丢失的字段
Tip

See also: 另请参阅:

$isNumber New in MongoDB 4.4MongoDB 4.4中的新增功能

MinKey and MaxKey

MinKey and MaxKey are used in comparison operations and exist primarily for internal use. MinKeyMaxKey用于比较操作,主要用于内部使用。For all possible BSON element values, MinKey will always be the smallest value while MaxKey will always be the greatest value.对于所有可能的BSON元素值,MinKey始终是最小值,而MaxKey始终是最大值。

Querying for minKey or maxKey with $type will only return fields that match the special MinKey or MaxKey values.使用$type查询MinKeyMaxKey将只返回与特殊MinKeyMaxKey值匹配的字段。

Suppose that the data collection has two documents with MinKey and MaxKey:假设data集合有两个具有MinKeyMaxKey的文档:

{ "_id" : 1, x : { "$minKey" : 1 } }
{ "_id" : 2, y : { "$maxKey" : 1 } }

The following query will return the document with _id: 1:以下查询将返回_id1的文档:

db.data.find( { x: { $type: "minKey" } } )

The following query will return the document with _id: 2:以下查询将返回_id2的文档:

db.data.find( { y: { $type: "maxKey" } } )

Examples实例

Querying by Data Type按数据类型查询

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zipCodestringintdoublelong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 zipCode is the BSON type string or is an array containing an element of the specified type:以下查询返回zipCodeBSON类型string或是包含指定类型元素的数组的所有文档:

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 zipCode is the BSON type double or is an array containing an element of the specified type:以下查询返回zipCodeBSON类型double或是包含指定类型元素的数组的所有文档:

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 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:以下查询使用number别名返回文档,其中zipCode是BSON类型doubleintlong,或者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 }

Querying by Multiple Data Type按多种数据类型查询

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stringintdouble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 classAverage is the BSON type string or double or is an array containing an element of the specified types. The first query uses numeric aliases while the second query uses string aliases.以下查询返回所有文档,其中classAverageBSON类型stringdouble,或者是包含指定类型元素的数组。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" }

Querying by MinKey and MaxKey按MinKey和MaxKey查询

The restaurants collection uses minKey for any grade that is a failing grade:restaurants集合将minKey用于任何不及格的分数:

{
"_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 maxKey for any grade that is the highest passing grade:对于任何通过等级最高的等级,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 grades.grade field contains minKey or is an array containing an element of the specified type:以下查询返回其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这会返回

{
"_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 grades.grade field contains maxKey or is an array containing an element of the specified type:以下查询返回grades.grade字段包含maxKey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这会返回

{
"_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"
}

Querying by Array Type按数组类型查询

A collection named SensorReading contains the following documents:一个名为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 readings field is an array, empty or non-empty.以下查询返回readings字段为空或非空数组的任何文档。

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 _id : 1, _id : 2, _id : 3, and _id : 4, the readings field is an array._id:1_id:2_id:3_id:4的文档中,readings字段是一个数组。

Additional Information附加信息