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Type:
New Feature
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Resolution: Done
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Priority:
Major - P3
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Affects Version/s: None
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Component/s: None
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Labels:None
Syntax
{
$bucket: {
groupBy: <arbitrary expression>,
boundaries: [
// Array of constant values.
],
default: <constant expression>,
output: { // Still optional, defaults to {count: {$sum: 1}}
fieldName1: <accumulator 1>,
fieldName2: <accumulator 2>
}
}
}
Examples
> db.example.insert([
{_id: 0, screenSize: 30},
{_id: 1, screenSize: 24},
{_id: 2, screenSize: 42},
{_id: 3, screenSize: 22},
{_id: 4, screenSize: 55},
]);
> db.example.aggregate([
{
$bucket: {
groupBy: "$screenSize",
boundaries: [0, 24, 32, 50, Infinity], // Makes 4 buckets, the _id is based on the min:
// [0, 24), [24, 32), [32, 50), [50, Infinity)
output: {
count: {$sum: 1},
matches: {$push: "$screenSize"}
}
}
}
])
{_id: "other", count: 2, matches: [null, "not-a-number"]}
{_id: 0, count: 1, matches: [22]}
{_id: 24, count: 2, matches: [24, 30]}
{_id: 32, count: 1, matches: [42]}
{_id: 50, count: 1, matches: [55]}
// ===================== Example #2 - Error on unexpected types ==========================
> db.example.insert([
{_id: 0, screenSize: 30},
{_id: 1, screenSize: 24},
{_id: 2, screenSize: 42},
{_id: 3, screenSize: 22},
{_id: 4, screenSize: 55},
{_id: 5, screenSize: "not-a-number"},
{_id: 6, screenSize: null},
]);
> db.example.aggregate([
{
$bucket: {
groupBy: "$screenSize",
boundaries: [0, 24, 32, 50, Infinity],
// No default specified.
}
}
])
Error!
// ===================== Example #3 - Group unexpected types together =====================
> db.example.insert([
{_id: 0, screenSize: 30},
{_id: 1, screenSize: 24},
{_id: 2, screenSize: 42},
{_id: 3, screenSize: 22},
{_id: 4, screenSize: 55},
{_id: 5, screenSize: "not-a-number"},
{_id: 6, screenSize: null},
]);
> db.example.aggregate([
{
$bucket: {
groupBy: "$screenSize",
boundaries: [0, 24, 32, 50, Infinity],
default: "other",
output: {
count: {$sum: 1},
matches: {$push: "$screenSize"}
}
}
}
])
{_id: "other", count: 2, matches: [null, "not-a-number"]}
{_id: 0, count: 1, matches: [22]}
{_id: 24, count: 2, matches: [24, 30]}
{_id: 32, count: 1, matches: [42]}
{_id: 50, count: 1, matches: [55]}
Detailed Behavior
- This stage is very similar to the following:
{ $group: { _id: <some sort of $switch expression on the 'groupBy' to put it into buckets based on 'boundaries'>, fieldName1: <accumulator 1> fieldName2: <accumulator 2> } } - 'boundaries' must be constant values (can't use "$x", but can use {$add: [4, 5]}), and must be sorted.
- Output documents will be sorted (in the order entered).
- Values that are equal to a boundary will go into the range with that boundary as the minimum.
- For example, with boundaries [0, 2, 4], 2 would go into the bucket with an _id of 2, which would encompass the range [2, 4)
- The only expected use cases are numeric values and date-like types, but we'll support arbitrary values.
- This will have to follow the operation's collation when comparing strings.
- There is no way to assign labels to the buckets, the _id of the output document will be the minimum value for that bucket's range.
- depends on
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- Closed
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