$type¶
Definition¶
- $type¶
$type selects the documents where the value of the field is an instance of the specified BSON type. Querying by data type is useful when dealing with highly unstructured data where data types are not predictable.
A $type expression has the following syntax:
在 3.2 版更改.
{ field: { $type: <BSON type number> | <String alias> } }
Available Types describes the BSON types and their corresponding numeric and string aliases.
Behavior¶
$type returns documents where the BSON type of the field matches the BSON type passed to $type.
Available Types¶
在 3.2 版更改: $type operator accepts string aliases for the BSON types in addition to the numbers corresponding to the BSON types. Previous versions only accepted the numbers corresponding to the BSON type.
| Type | 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 (with scope) | 15 | “javascriptWithScope” | |
| 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 number alias, which will match against the following BSON types:
- double
- 32-bit integer
- 64-bit integer
- decimal
Arrays¶
When applied to arrays, $type matches any inner element that is of the specified BSON type. For example, when matching for $type : 'array', the document will match if the field has a nested array. It will not return results where the field itself is an array.
See Querying by Array Type for an example.
MinKey and MaxKey¶
MinKey and MaxKey are used in comparison operations and exist primarily for internal use. For all possible BSON element values, MinKey will always be the smallest value while MaxKey will always be the greatest value.
Querying for minKey or maxKey with $type will only return fields that match the special MinKey or MaxKey values.
Suppose that the data collection has two documents with MinKey and MaxKey:
{ "_id" : 1, x : { "$minKey" : 1 } }
{ "_id" : 2, y : { "$maxKey" : 1 } }
The following query will return the document with _id: 1:
db.data.find( { x: { $type: "minKey" } } )
The following query will return the document with _id: 2:
db.data.find( { y: { $type: "maxKey" } } )
Examples¶
Querying by Data Type¶
The addressBook contains addresses and zipcodes, where zipCode has string, int, double, and long values:
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) }
]
)
The following queries return all documents where zipCode is the BSON type string:
db.addressBook.find( { "zipCode" : { $type : 2 } } );
db.addressBook.find( { "zipCode" : { $type : "string" } } );
These queries return:
{ "_id" : 1, "address" : "2030 Martian Way", "zipCode" : "90698345" }
The following queries return all documents where zipCode is the BSON type double:
db.addressBook.find( { "zipCode" : { $type : 1 } } )
db.addressBook.find( { "zipCode" : { $type : "double" } } )
These queries return:
{ "_id" : 2, "address" : "156 Lunar Place", "zip" : 43339374 }
The following query uses the number alias to return documents where zipCode is the BSON type double, int, or long:
db.addressBook.find( { "zipCode" : { $type : "number" } } )
These queries return:
{ "_id" : 2, address : "156 Lunar Place", zipCode : 43339374 }
{ "_id" : 3, address : "2324 Pluto Place", zipCode: NumberLong(3921412) }
{ "_id" : 4, address : "55 Saturn Ring" , zipCode : 88602117 }
Querying by MinKey and MaxKey¶
The restaurants collection uses minKey for any grade that is a failing grade:
{
"_id": 1,
"address": {
"building": "230",
"coord": [ -73.996089, 40.675018 ],
"street": "Huntington St",
"zipcode": "11231"
},
"borough": "Brooklyn",
"cuisine": "Bakery",
"grades": [
{ "date": { "$date": 1393804800000 }, "grade": "C", "score": 15 },
{ "date": { "$date": 1378857600000 }, "grade": "C", "score": 16 },
{ "date": { "$date": 1358985600000 }, "grade": { "$minKey" : 1 }, "score": 30 },
{ "date": { "$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:
{
"_id": 2,
"address": {
"building": "1166",
"coord": [ -73.955184, 40.738589 ],
"street": "Manhattan Ave",
"zipcode": "11222"
},
"borough": "Brooklyn",
"cuisine": "Bakery",
"grades": [
{ "date": { "$date": 1393804800000 }, "grade": { "$maxKey" : 1 }, "score": 2 },
{ "date": { "$date": 1378857600000 }, "grade": "B", "score": 6 },
{ "date": { "$date": 1358985600000 }, "grade": { "$maxKey" : 1 }, "score": 3 },
{ "date": { "$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:
db.restaurant.find(
{ "grades.grade" : { $type : "minKey" } }
)
This returns
{
"_id": 1,
"address": {
"building": "230",
"coord": [ -73.996089, 40.675018 ],
"street": "Huntington St",
"zipcode": "11231"
},
"borough": "Brooklyn",
"cuisine": "Bakery",
"grades": [
{ "date": { "$date": 1393804800000 }, "grade": "C", "score": 15 },
{ "date": { "$date": 1378857600000 }, "grade": "C", "score": 16 },
{ "date": { "$date": 1358985600000 }, "grade": { "$minKey" : 1 }, "score": 30 },
{ "date": { "$date": 1322006400000 }, "grade": "C", "score": 15 }
],
"name": "Dirty Dan's Donuts",
"restaurant_id": "30075445"
}
The following query returns any restaurant whose grades.grade field contains maxKey:
db.restaurant.find(
{ "grades.grade" : { $type : "maxKey" } }
)
This returns
{
"_id": 2,
"address": {
"building": "1166",
"coord": [ -73.955184, 40.738589 ],
"street": "Manhattan Ave",
"zipcode": "11222"
},
"borough": "Brooklyn",
"cuisine": "Bakery",
"grades": [
{ "date": { "$date": 1393804800000 }, "grade": { "$maxKey" : 1 }, "score": 2 },
{ "date": { "$date": 1378857600000 }, "grade": "B", "score": 6 },
{ "date": { "$date": 1358985600000 }, "grade": { "$maxKey" : 1 }, "score": 3 },
{ "date": { "$date": 1322006400000 }, "grade": "B", "score": 5 }
],
"name": "Dainty Daisey's Donuts",
"restaurant_id": "30075449"
}
Querying by Array Type¶
The SensorReading collection contains the following documents:
{
"_id": 1,
"readings": [
25,
23,
[ "Warn: High Temp!", 55 ],
[ "ERROR: SYSTEM SHUTDOWN!", 66 ]
]
},
{
"_id": 2,
"readings": [
25,
25,
24,
23
]
}
The following query returns any document where readings has an element of BSON type array; i.e. the $type does not check if readings itself is an array:
db.SensorReading.find( { "readings" : { $type: "array" } } )
This returns the following doucment:
{
"_id": 1,
"readings": [
25,
23,
[ "Warn: High Temp!", 55 ],
[ "ERROR: SYSTEM SHUTDOWN!", 66 ]
]
}
The document with _id : 1 has at least one element in readings that is an array, whereas the document with _id : 2 does not.