$denseRank (aggregation)
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Definição
Novidades na versão 5.0.
Retorna a posição do documento (conhecida como classificação) em relação a outros documentos na partição $setWindowFields
de estágio .
The $setWindowFields
stage sortBy field value determines the document rank. For
more information on how MongoDB compares fields with different types,
see BSON comparison order.
If multiple documents occupy the same rank, $denseRank
places
the document with the subsequent value at the next rank without any gaps
(see Comportamento).
$denseRank
está disponível somente no estágio $setWindowFields
.
$denseRank
sintaxe:
{ $denseRank: { } }
$denseRank
não aceita nenhum parâmetro.
Comportamento
$rank
and$denseRank
differ in how they rank duplicate sortBy field values. For example, with sortBy field values of 7, 9, 9, and 10:$denseRank
ranks the values as 1, 2, 2, and 3. The duplicate 9 values have a rank of 2, and 10 has a rank of 3. There is no gap in the ranks.$rank
ranks the values as 1, 2, 2, and 4. The duplicate 9 values have a rank of 2, and 10 has a rank of 4. There is a gap in the ranks for 3.
Documents with a
null
value for a sortBy field or documents missing the sortBy field are assigned a rank based on the BSON comparison order. See the example in Classificar partições contendo valores duplicados, nulos ou dados ausentes.Starting in MongoDB 8.0,
null
and missing field values in$denseRank
and$rank
sortBy operations are treated the same when calculating rankings. This change makes the behavior ofdenseRank
andrank
consistent with$sort
.
See the example in Dense Rank for Duplicate, Null, and Missing Values.
Exemplos
Dense Rank Partitions by an Integer Field
Crie uma collection cakeSales
que contenha vendas de bolo nos estados da Califórnia (CA
) e de Washington (WA
):
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 } ] )
This example uses $denseRank
in the
$setWindowFields
stage to output the quantity
dense rank
of the cake sales for each state
:
db.cakeSales.aggregate( [ { $setWindowFields: { partitionBy: "$state", sortBy: { quantity: -1 }, output: { denseRankQuantityForState: { $denseRank: {} } } } } ] )
No exemplo:
partitionBy: "$state"
divide dos documentos na coleção porstate
. Existem divisões paraCA
eWA
.sortBy: { quantity: -1 }
classifica os documentos em cada divisão porquantity
em ordem decrescente (-1
), de modo que aquantity
mais alta seja a primeira.
output
sets thedenseRankOrderDateForState
field to theorderDate
dense rank using$denseRank
, as shown in the following results.
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"), "state" : "CA", "price" : 41, "quantity" : 162, "denseRankQuantityForState" : 1 } { "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"), "state" : "CA", "price" : 12, "quantity" : 145, "denseRankQuantityForState" : 2 } { "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"), "state" : "CA", "price" : 13, "quantity" : 120, "denseRankQuantityForState" : 3 } { "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"), "state" : "WA", "price" : 14, "quantity" : 140, "denseRankQuantityForState" : 1 } { "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"), "state" : "WA", "price" : 43, "quantity" : 134, "denseRankQuantityForState" : 2 } { "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"), "state" : "WA", "price" : 13, "quantity" : 104, "denseRankQuantityForState" : 3 }
Dense Rank Partitions by a Date Field
This example shows how to use dates with $denseRank
in the
$setWindowFields
stage to output the orderDate
dense
rank of the cake sales for each state
:
db.cakeSales.aggregate( [ { $setWindowFields: { partitionBy: "$state", sortBy: { orderDate: 1 }, output: { denseRankOrderDateForState: { $denseRank: {} } } } } ] )
No exemplo:
partitionBy: "$state"
divide dos documentos na coleção porstate
. Existem divisões paraCA
eWA
.sortBy: { orderDate: 1 }
classifica os documentos em cada divisão pororderDate
em ordem crescente (1
), de modo que aorderDate
mais antiga seja a primeira.
output
sets thedenseRankOrderDateForState
field to theorderDate
rank using$denseRank
, as shown in the following results.
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"), "state" : "CA", "price" : 41, "quantity" : 162, "denseRankOrderDateForState" : 1 } { "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"), "state" : "CA", "price" : 13, "quantity" : 120, "denseRankOrderDateForState" : 2 } { "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"), "state" : "CA", "price" : 12, "quantity" : 145, "denseRankOrderDateForState" : 3 } { "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"), "state" : "WA", "price" : 43, "quantity" : 134, "denseRankOrderDateForState" : 1 } { "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"), "state" : "WA", "price" : 13, "quantity" : 104, "denseRankOrderDateForState" : 2 } { "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"), "state" : "WA", "price" : 14, "quantity" : 140, "denseRankOrderDateForState" : 3 }
Dense Rank for Duplicate, Null, and Missing Values
Crie uma collection cakeSalesWithDuplicates
onde:
As vendas de bolos são realizadas no estado da Califórnia (
CA
) e Washington (WA
).Os documentos 6 a 8 têm o mesmo
quantity
estate
que o documento 5.O documento 9 tem o mesmo
quantity
estate
que o documento 4.O documento 10 tem um
null
quantity
.O documento 11 não tem
quantity
.
db.cakeSalesWithDuplicates.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 }, { _id: 6, type: "strawberry", orderDate: new Date("2020-01-08T06:12:03Z"), state: "WA", price: 41, quantity: 134 }, { _id: 7, type: "strawberry", orderDate: new Date("2020-01-01T06:12:03Z"), state: "WA", price: 34, quantity: 134 }, { _id: 8, type: "strawberry", orderDate: new Date("2020-01-02T06:12:03Z"), state: "WA", price: 40, quantity: 134 }, { _id: 9, type: "strawberry", orderDate: new Date("2020-05-11T16:09:01Z"), state: "CA", price: 39, quantity: 162 }, { _id: 10, type: "strawberry", orderDate: new Date("2020-05-11T16:09:01Z"), state: "CA", price: 39, quantity: null }, { _id: 11, type: "strawberry", orderDate: new Date("2020-05-11T16:09:01Z"), state: "CA", price: 39 } ] )
This example uses $denseRank
in the
$setWindowFields
stage to output the quantity
dense rank
from the cakeSalesWithDuplicates
collection for each state
:
db.cakeSalesWithDuplicates.aggregate( [ { $setWindowFields: { partitionBy: "$state", sortBy: { quantity: -1 }, output: { denseRankQuantityForState: { $denseRank: {} } } } } ] )
No exemplo:
partitionBy: "$state"
divide dos documentos na coleção porstate
. Existem divisões paraCA
eWA
.sortBy: { quantity: -1 }
classifica os documentos em cada divisão porquantity
em ordem decrescente (-1
), de modo que aquantity
mais alta seja a primeira.
output
sets thedenseRankQuantityForState
field to thequantity
dense rank using$denseRank
.
No exemplo de saída a seguir:
The documents with the same
quantity
andstate
have the same rank and there is no gap between the ranks. This differs from$rank
that has a gap between the ranks (for an example, see Classificar partições contendo valores duplicados, nulos ou dados ausentes).O documento com
null
quantity
e, em seguida, o documento comquantity
ausente são classificados como o mais baixo na saída para a partiçãoCA
. Essa classificação é o resultado da ordem de comparação BSON, que classifica os valoresnull
e ausentes após os valores numéricos neste exemplo.
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"), "state" : "CA", "price" : 41, "quantity" : 162, "denseRankQuantityForState" : 1 } { "_id" : 9, "type" : "strawberry", "orderDate" : ISODate("2020-05-11T16:09:01Z"), "state" : "CA", "price" : 39, "quantity" : 162, "denseRankQuantityForState" : 1 } { "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"), "state" : "CA", "price" : 12, "quantity" : 145, "denseRankQuantityForState" : 2 } { "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"), "state" : "CA", "price" : 13, "quantity" : 120, "denseRankQuantityForState" : 3 } { "_id" : 10, "type" : "strawberry", "orderDate" : ISODate("2020-05-11T16:09:01Z"), "state" : "CA", "price" : 39, "quantity" : null, "denseRankQuantityForState" : 4 } { "_id" : 11, "type" : "strawberry", "orderDate" : ISODate("2020-05-11T16:09:01Z"), "state" : "CA", "price" : 39, "denseRankQuantityForState" : 5 } { "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"), "state" : "WA", "price" : 14, "quantity" : 140, "denseRankQuantityForState" : 1 } { "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"), "state" : "WA", "price" : 43, "quantity" : 134, "denseRankQuantityForState" : 2 } { "_id" : 6, "type" : "strawberry", "orderDate" : ISODate("2020-01-08T06:12:03Z"), "state" : "WA", "price" : 41, "quantity" : 134, "denseRankQuantityForState" : 2 } { "_id" : 7, "type" : "strawberry", "orderDate" : ISODate("2020-01-01T06:12:03Z"), "state" : "WA", "price" : 34, "quantity" : 134, "denseRankQuantityForState" : 2 } { "_id" : 8, "type" : "strawberry", "orderDate" : ISODate("2020-01-02T06:12:03Z"), "state" : "WA", "price" : 40, "quantity" : 134, "denseRankQuantityForState" : 2 } { "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"), "state" : "WA", "price" : 13, "quantity" : 104, "denseRankQuantityForState" : 3 }