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New in version 5.0.在版本5.0中新增。
Returns the value from an expression applied to a document in a specified position relative to the current document in the 返回应用于文档的表达式中的值,该文档位于相对于$setWindowFields
stage partition.$setWindowFields
阶段分区中当前文档的指定位置。
The $setWindowFields
stage sortBy field value determines the document order. $setWindowFields
阶段sortBy
字段值决定文档顺序。For more information on how MongoDB compares fields with different types, see BSON comparison order.有关MongoDB如何比较不同类型字段的更多信息,请参阅BSON比较顺序。
$shift
is only available in the 仅在$setWindowFields
stage.$setWindowFields
阶段可用。
$shift
syntax:语法:
{ $shift: { output: <output expression>, by: <integer>, default: <default expression> } }
$shift
takes a document with these fields:获取包含以下字段的文档:
output |
|
by |
|
default |
|
如果在$shift
returns an error if you specify a window in the $setWindowFields
stage.$setWindowFields
阶段指定窗口,则$shift
返回错误。
Create a 创建包含加利福尼亚州(cakeSales
collection that contains cake sales in the states of California (CA
) and Washington (WA
):CA
)和华盛顿州(WA
)蛋糕销售的cakeSales
集合:
db.cakeSales.insertMany( [ { _id: 0, type: "chocolate", orderDate: new Date("2020-05-18T14:10:30Z"), state: "CA", price: 13, quantity: 120 }, { _id: 1, type: "chocolate", orderDate: new Date("2021-03-20T11:30:05Z"), state: "WA", price: 14, quantity: 140 }, { _id: 2, type: "vanilla", orderDate: new Date("2021-01-11T06:31:15Z"), state: "CA", price: 12, quantity: 145 }, { _id: 3, type: "vanilla", orderDate: new Date("2020-02-08T13:13:23Z"), state: "WA", price: 13, quantity: 104 }, { _id: 4, type: "strawberry", orderDate: new Date("2019-05-18T16:09:01Z"), state: "CA", price: 41, quantity: 162 }, { _id: 5, type: "strawberry", orderDate: new Date("2019-01-08T06:12:03Z"), state: "WA", price: 43, quantity: 134 } ] )
The 以下示例中使用了cakeSales
collection is used in the following examples.cakeSales
集合。
This example uses 本例使用$shift
in the $setWindowFields
stage to output the quantity
of the cake sales from each document following the current document for each state
:$setWindowFields
阶段中的$shift
输出每个state
当前文档后面的每个文档中的蛋糕销售quantity
:
db.cakeSales.aggregate( [ { $setWindowFields: { partitionBy: "$state", sortBy: { quantity: -1 }, output: { shiftQuantityForState: { $shift: { output: "$quantity", by: 1, default: "Not available" } } } } } ] )
In the example:在示例中:
partitionBy: "$state"
state
. state
对集合中的文档进行分区。CA
and WA
.CA
和WA
有分区。sortBy: { quantity: -1 }
quantity
in descending order (-1
), so the highest quantity
is first.quantity
按降序(-1
)对每个分区中的文档进行排序,因此quantity
最高的是第一个。output
after sortBy
:sortBy
后的output
:
shiftQuantityForState
field to the quantity
value from the documents in each state
.shiftQuantityForState
字段设置为每个state
的文档的quantity
值。Uses 使用$shift
to return the quantity
value from the document that follows the current document in the output.$shift
从输出中当前文档之后的文档中返回quantity
值。
In this example output, the shifted 在这个示例输出中,每个返回的文档的quantity
value is shown in the shiftQuantityForState
field for each returned document:shiftQuantityForState
字段中都显示了移位的quantity
值:
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"), "state" : "CA", "price" : 41, "quantity" : 162, "shiftQuantityForState" : 145 } { "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"), "state" : "CA", "price" : 12, "quantity" : 145, "shiftQuantityForState" : 120 } { "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"), "state" : "CA", "price" : 13, "quantity" : 120, "shiftQuantityForState" : "Not available" } { "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"), "state" : "WA", "price" : 14, "quantity" : 140, "shiftQuantityForState" : 134 } { "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"), "state" : "WA", "price" : 43, "quantity" : 134, "shiftQuantityForState" : 104 } { "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"), "state" : "WA", "price" : 13, "quantity" : 104, "shiftQuantityForState" : "Not available" }
This example uses 本例使用$shift
in the $setWindowFields
stage to output the quantity
of the cake sales from each document before the current document for each state
:$setWindowFields
阶段中的$shift
输出每个州state
当前文档之前每个文档的蛋糕销售quantity
:
db.cakeSales.aggregate( [ { $setWindowFields: { partitionBy: "$state", sortBy: { quantity: -1 }, output: { shiftQuantityForState: { $shift: { output: "$quantity", by: -1, default: "Not available" } } } } } ] )
In the example:在示例中:
partitionBy: "$state"
state
. state
对集合中的文档进行分区。CA
and WA
.CA
和WA
有分区。sortBy: { quantity: -1 }
quantity
in descending order (-1
), so the highest quantity
is first.quantity
按降序(-1
)对每个分区中的文档进行排序,因此quantity
最高的是第一个。output
after sortBy
:sortBy
后的output
:
shiftQuantityForState
field to the quantity
value from the documents in each state
.shiftQuantityForState
字段设置为每个state
的文档的quantity
值。Uses 使用$shift
to return the quantity
value from the document before the current document in the output.$shift
从输出中当前文档之前的文档中返回quantity
值。
In this example output, the shifted 在这个示例输出中,每个返回的文档的quantity
value is shown in the shiftQuantityForState
field for each returned document:shiftQuantityForState
字段中都显示了移位的quantity
值:
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"), "state" : "CA", "price" : 41, "quantity" : 162, "shiftQuantityForState" : "Not available" } { "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"), "state" : "CA", "price" : 12, "quantity" : 145, "shiftQuantityForState" : 162 } { "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"), "state" : "CA", "price" : 13, "quantity" : 120, "shiftQuantityForState" : 145 } { "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"), "state" : "WA", "price" : 14, "quantity" : 140, "shiftQuantityForState" : "Not available" } { "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"), "state" : "WA", "price" : 43, "quantity" : 134, "shiftQuantityForState" : 140 } { "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"), "state" : "WA", "price" : 13, "quantity" : 104, "shiftQuantityForState" : 134 }