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$rank (aggregation)

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New in version 5.0.

$rank

Returns the document position (known as the rank) relative to other documents in the $setWindowFields stage partition.

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, $rank places the document with the subsequent value at a rank with a gap (see Behavior).

$rank is only available in the $setWindowFields stage.

$rank syntax:

{ $rank: { } }

$rank does not accept any parameters.

Tip
See also:

$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 Rank Partitions Containing Duplicate Values, Nulls, or Missing Data.

Create a cakeSales collection that contains cake sales in the states of California (CA) and 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 $rank in the $setWindowFields stage to output the quantity rank of the cake sales for each state:

db.cakeSales.aggregate( [
{
$setWindowFields: {
partitionBy: "$state",
sortBy: { quantity: -1 },
output: {
rankQuantityForState: {
$rank: {}
}
}
}
}
] )

In the example:

  • partitionBy: "$state" partitions the documents in the collection by state. There are partitions for CA and WA.
  • sortBy: { quantity: -1 } sorts the documents in each partition by quantity in descending order (-1), so the highest quantity is first.
  • output sets the rankQuantityForState field to the quantity rank using $rank, as shown in the following results.
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"),
"state" : "CA", "price" : 41, "quantity" : 162, "rankQuantityForState" : 1 }
{ "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"),
"state" : "CA", "price" : 12, "quantity" : 145, "rankQuantityForState" : 2 }
{ "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"),
"state" : "CA", "price" : 13, "quantity" : 120, "rankQuantityForState" : 3 }
{ "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"),
"state" : "WA", "price" : 14, "quantity" : 140, "rankQuantityForState" : 1 }
{ "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"),
"state" : "WA", "price" : 43, "quantity" : 134, "rankQuantityForState" : 2 }
{ "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"),
"state" : "WA", "price" : 13, "quantity" : 104, "rankQuantityForState" : 3 }

This example shows how to use dates with $rank in the $setWindowFields stage to output the orderDate rank of the cake sales for each state:

db.cakeSales.aggregate( [
{
$setWindowFields: {
partitionBy: "$state",
sortBy: { orderDate: 1 },
output: {
rankOrderDateForState: {
$rank: {}
}
}
}
}
] )

In the example:

  • partitionBy: "$state" partitions the documents in the collection by state. There are partitions for CA and WA.
  • sortBy: { orderDate: 1 } sorts the documents in each partition by orderDate in ascending order (1), so the earliest orderDate is first.
  • output sets the rankOrderDateForState field to the orderDate rank using $rank, as shown in the following results.
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"),
"state" : "CA", "price" : 41, "quantity" : 162, "rankOrderDateForState" : 1 }
{ "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"),
"state" : "CA", "price" : 13, "quantity" : 120, "rankOrderDateForState" : 2 }
{ "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"),
"state" : "CA", "price" : 12, "quantity" : 145, "rankOrderDateForState" : 3 }
{ "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"),
"state" : "WA", "price" : 43, "quantity" : 134, "rankOrderDateForState" : 1 }
{ "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"),
"state" : "WA", "price" : 13, "quantity" : 104, "rankOrderDateForState" : 2 }
{ "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"),
"state" : "WA", "price" : 14, "quantity" : 140, "rankOrderDateForState" : 3 }

Create a cakeSalesWithDuplicates collection where:

  • Cake sales are placed in the state of California (CA) and Washington (WA).
  • Documents 6 to 8 have the same quantity and state as document 5.
  • Document 9 has the same quantity and state as document 4.
  • Document 10 has a null quantity.
  • Document 11 is missing the 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 $rank in the $setWindowFields stage to output the quantity rank from the cakeSalesWithDuplicates collection for each state:

db.cakeSalesWithDuplicates.aggregate( [
{
$setWindowFields: {
partitionBy: "$state",
sortBy: { quantity: -1 },
output: {
rankQuantityForState: {
$rank: {}
}
}
}
}
] )

In the example:

  • partitionBy: "$state" partitions the documents in the collection by state. There are partitions for CA and WA.
  • sortBy: { quantity: -1 } sorts the documents in each partition by quantity in descending order (-1), so the highest quantity is first.
  • output sets the rankOrderDateForState field to the quantity rank using $rank.

In the following example output:

  • Documents with the same quantity and state have the same rank. If documents have the same rank, there is a gap between that rank and the next rank.
  • The document with the null quantity and then the document with the missing quantity are ranked the lowest in the output for the CA partition. This sorting is the result of the BSON comparison order, which sorts null and missing values after number values in this example.
{ "_id" : 4, "type" : "strawberry", "orderDate" : ISODate("2019-05-18T16:09:01Z"),
"state" : "CA", "price" : 41, "quantity" : 162, "rankQuantityForState" : 1 }
{ "_id" : 9, "type" : "strawberry", "orderDate" : ISODate("2020-05-11T16:09:01Z"),
"state" : "CA", "price" : 39, "quantity" : 162, "rankQuantityForState" : 1 }
{ "_id" : 2, "type" : "vanilla", "orderDate" : ISODate("2021-01-11T06:31:15Z"),
"state" : "CA", "price" : 12, "quantity" : 145, "rankQuantityForState" : 3 }
{ "_id" : 0, "type" : "chocolate", "orderDate" : ISODate("2020-05-18T14:10:30Z"),
"state" : "CA", "price" : 13, "quantity" : 120, "rankQuantityForState" : 4 }
{ "_id" : 10, "type" : "strawberry", "orderDate" : ISODate("2020-05-11T16:09:01Z"),
"state" : "CA", "price" : 39, "quantity" : null, "rankQuantityForState" : 5 }
{ "_id" : 11, "type" : "strawberry", "orderDate" : ISODate("2020-05-11T16:09:01Z"),
"state" : "CA", "price" : 39, "rankQuantityForState" : 6 }
{ "_id" : 1, "type" : "chocolate", "orderDate" : ISODate("2021-03-20T11:30:05Z"),
"state" : "WA", "price" : 14, "quantity" : 140, "rankQuantityForState" : 1 }
{ "_id" : 5, "type" : "strawberry", "orderDate" : ISODate("2019-01-08T06:12:03Z"),
"state" : "WA", "price" : 43, "quantity" : 134, "rankQuantityForState" : 2 }
{ "_id" : 6, "type" : "strawberry", "orderDate" : ISODate("2020-01-08T06:12:03Z"),
"state" : "WA", "price" : 41, "quantity" : 134, "rankQuantityForState" : 2 }
{ "_id" : 7, "type" : "strawberry", "orderDate" : ISODate("2020-01-01T06:12:03Z"),
"state" : "WA", "price" : 34, "quantity" : 134, "rankQuantityForState" : 2 }
{ "_id" : 8, "type" : "strawberry", "orderDate" : ISODate("2020-01-02T06:12:03Z"),
"state" : "WA", "price" : 40, "quantity" : 134, "rankQuantityForState" : 2 }
{ "_id" : 3, "type" : "vanilla", "orderDate" : ISODate("2020-02-08T13:13:23Z"),
"state" : "WA", "price" : 13, "quantity" : 104, "rankQuantityForState" : 6 }
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