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$denseRank (aggregation)

Novidades na versão 5.0.

$denseRank

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.

Dica

Veja também:

See the example in Dense Rank for Duplicate, Null, and Missing Values.

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 por state. Existem divisões para CA e WA.

  • sortBy: { quantity: -1 } classifica os documentos em cada divisão por quantity em ordem decrescente (-1), de modo que a quantity mais alta seja a primeira.

  • output sets the denseRankOrderDateForState field to the orderDate 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 }

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 por state. Existem divisões para CA e WA.

  • sortBy: { orderDate: 1 } classifica os documentos em cada divisão por orderDate em ordem crescente (1), de modo que a orderDate mais antiga seja a primeira.

  • output sets the denseRankOrderDateForState field to the orderDate 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 }

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 e state que o documento 5.

  • O documento 9 tem o mesmo quantity e state 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 por state. Existem divisões para CA e WA.

  • sortBy: { quantity: -1 } classifica os documentos em cada divisão por quantity em ordem decrescente (-1), de modo que a quantity mais alta seja a primeira.

  • output sets the denseRankQuantityForState field to the quantity dense rank using $denseRank.

No exemplo de saída a seguir:

  • The documents with the same quantity and state 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 com quantity ausente são classificados como o mais baixo na saída para a partição CA. Essa classificação é o resultado da ordem de comparação BSON, que classifica os valores null 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 }