In MongoDB, the $lte
aggregation pipeline operator compares two values and returns either true
or false
, depending on whether or not the first value is less than or equal to the second value.
Example
Suppose we have a collection called data
with the following documents:
{ "_id" : 1, "a" : 250, "b" : 250 } { "_id" : 2, "a" : 300, "b" : 250 } { "_id" : 3, "a" : 250, "b" : 300 }
We can use the $lte
operator to compare the a
and b
fields:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 1, 2, 3 ] } } },
{
$project:
{
_id: 0,
a: 1,
b: 1,
result: { $lte: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "a" : 250, "b" : 250, "result" : true } { "a" : 300, "b" : 250, "result" : false } { "a" : 250, "b" : 300, "result" : true }
In the first document, the a
and b
fields are equivalent, which results in a return value of true
(because a
is indeed less than or equal to b
).
In the second document a
is greater than b
, which results in a return value of false
(because a
is not less than or equal to b
).
In the third document, a
is less than b
and therefore the $lte
operator returns true
(because a
is less than or equal to b
).
Comparing Types
The $lte
operator compares both value and type using the specified BSON comparison order for values of different types.
Suppose our collection contains the following documents:
{ "_id" : 4, "a" : 250, "b" : "250" } { "_id" : 5, "a" : "250", "b" : 250 } { "_id" : 6, "a" : 250, "b" : NumberDecimal("250") } { "_id" : 7, "a" : NumberDecimal("250"), "b" : 250 } { "_id" : 8, "a" : NumberDecimal("250"), "b" : NumberDecimal("250.00") } { "_id" : 9, "a" : NumberDecimal("250.00"), "b" : NumberDecimal("250") } { "_id" : 10, "a" : "2022-01-03T23:30:15.100Z", "b" : ISODate("2021-01-03T23:30:15.100Z") } { "_id" : 11, "a" : ISODate("2021-01-03T23:30:15.100Z"), "b" : "2021-01-03T23:30:15.100Z" }
Here’s what happens when we apply $lte
to the a
and b
fields of those documents:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 4, 5, 6, 7, 8, 9, 10, 11 ] } } },
{
$project:
{
a: 1,
b: 1,
result: { $lte: [ "$a", "$b" ] }
}
}
]
).pretty()
Result:
{ "_id" : 4, "a" : 250, "b" : "250", "result" : true } { "_id" : 5, "a" : "250", "b" : 250, "result" : false } { "_id" : 6, "a" : 250, "b" : NumberDecimal("250"), "result" : true } { "_id" : 7, "a" : NumberDecimal("250"), "b" : 250, "result" : true } { "_id" : 8, "a" : NumberDecimal("250"), "b" : NumberDecimal("250.00"), "result" : true } { "_id" : 9, "a" : NumberDecimal("250.00"), "b" : NumberDecimal("250"), "result" : true } { "_id" : 10, "a" : "2022-01-03T23:30:15.100Z", "b" : ISODate("2021-01-03T23:30:15.100Z"), "result" : true } { "_id" : 11, "a" : ISODate("2021-01-03T23:30:15.100Z"), "b" : "2021-01-03T23:30:15.100Z", "result" : false }
Null Values
$lte
comparisons can be made against null
. And comparing null
to null
returns true
.
Suppose we add the following documents to our collection:
{ "_id" : 12, "a" : 250, "b" : null } { "_id" : 13, "a" : null, "b" : 250 } { "_id" : 14, "a" : null, "b" : null }
Let’s apply $lte
to those documents:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 12, 13, 14 ] } } },
{
$project:
{
_id: 0,
a: 1,
b: 1,
result: { $lte: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "a" : 250, "b" : null, "result" : false } { "a" : null, "b" : 250, "result" : true } { "a" : null, "b" : null, "result" : true }
Missing Fields
If one of the fields that you’re trying to compare is missing, $lte
returns false
if the second field is missing, and true
if the first is missing.
Suppose we add the following documents to our collection:
{ "_id" : 15, "a" : 250 } { "_id" : 16, "b" : 250 }
Let’s apply $lte
to those documents:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 15, 16 ] } } },
{
$project:
{
_id: 0,
a: 1,
b: 1,
result: { $lte: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "a" : 250, "result" : false } { "b" : 250, "result" : true }
Infinity
Comparing Infinity
to Infinity
returns true
.
Comparing -Infinity
to -Infinity
returns true
.
Comparing Infinity
to -Infinity
returns false
.
Comparing -Infinity
to Infinity
returns true
.
Suppose we add the following documents to our collection:
{ "_id" : 17, "a" : Infinity, "b" : Infinity } { "_id" : 18, "a" : -Infinity, "b" : -Infinity } { "_id" : 19, "a" : Infinity, "b" : -Infinity } { "_id" : 20, "a" : -Infinity, "b" : Infinity }
Let’s apply $lte
to those documents:
db.data.aggregate(
[
{ $match: { _id: { $in: [ 17, 18, 19, 20 ] } } },
{
$project:
{
_id: 0,
a: 1,
b: 1,
result: { $lte: [ "$a", "$b" ] }
}
}
]
)
Result:
{ "a" : Infinity, "b" : Infinity, "result" : true } { "a" : -Infinity, "b" : -Infinity, "result" : true } { "a" : Infinity, "b" : -Infinity, "result" : false } { "a" : -Infinity, "b" : Infinity, "result" : true }