Aggregate Hourly Weekly Monthly Yearly data in mongodb - mongodb

Question

Q1. I need to filter data by created date and driverId then need to sum up the total by Hourly, Weekly, Monthly, and Yearly. I already checked with other solutions but it doesn't help much.
Sample Data:
[
{
id: "1",
created : "2022-01-04T03:22:18.739Z",
completed: "2022-01-06T03:53:28.463Z",
driverId: "B-72653",
total: 15,
},
{
id: "2",
created : "2022-01-01T03:22:18.739Z",
completed: "2022-01-02T03:53:28.463Z",
driverId: "B-72653",
total: 33
},
{
id: "3",
created : "2021-08-26T01:22:18.739Z",
completed: "2021-08-26T09:53:28.463Z",
driverId: "B-72653",
total: 43
},
{
id: "4",
created : "2021-03-26T02:22:18.739Z",
completed: "2021-03-26T07:53:28.463Z",
driverId: "B-73123",
total: 35
},
]
Response needed:
{
Hourly:[10,5,5,6,7,8,4,5,6,3,44,2,1,2,3,44,5,6,75,4,3,2,1], // 24 Hours (Each Hour Total)
Weekly:[10,30,34,45,56,67,78], // 7 days (Each Day Total)
Monthly:[10,30,34,45,56,67,78,55,44,33,22,12], // 12 Months (Each Month Total)
Yearly: [10,30] // Year Total (Each Year Total)
}
Q2. How can we filter nested array by-products > brand id and get the sum of product price by its id and filter by Hourly, Weekly, Monthly, Yearly?.

Answer 1

You can use $group with _id being $hour / $week / $month / $year to aggregate the sum. $push them into an array to get your expected result.
Use $facet to repeat the process for all 4 cases.
db.collection.aggregate([
{
"$facet": {
"Hourly": [
{
$group: {
_id: {
$hour: "$created"
},
total: {
$sum: "$total"
}
}
},
{
$sort: {
_id: 1
}
},
{
$group: {
_id: null,
result: {
$push: {
hour: "$_id",
total: "$total"
}
}
}
}
],
Weekly: [
{
$group: {
_id: {
"$week": "$created"
},
total: {
$sum: "$total"
}
}
},
{
$sort: {
_id: 1
}
},
{
$group: {
_id: null,
result: {
$push: {
week: "$_id",
total: "$total"
}
}
}
}
],
Monthly: [
{
$group: {
_id: {
$month: "$created"
},
total: {
$sum: "$total"
}
}
},
{
$sort: {
_id: 1
}
},
{
$group: {
_id: null,
result: {
$push: {
month: "$_id",
total: "$total"
}
}
}
}
],
Yearly: [
{
$group: {
_id: {
$year: "$created"
},
total: {
$sum: "$total"
}
}
},
{
$sort: {
_id: 1
}
},
{
$group: {
_id: null,
result: {
$push: {
year: "$_id",
total: "$total"
}
}
}
}
]
}
},
{
"$addFields": {
"Hourly": {
"$arrayElemAt": [
"$Hourly",
0
]
},
"Weekly": {
"$arrayElemAt": [
"$Weekly",
0
]
},
"Monthly": {
"$arrayElemAt": [
"$Monthly",
0
]
},
"Yearly": {
"$arrayElemAt": [
"$Yearly",
0
]
}
}
},
{
"$addFields": {
"Hourly": "$Hourly.result",
"Weekly": "$Weekly.result",
"Monthly": "$Monthly.result",
"Yearly": "$Yearly.result"
}
}
])
Here is the Mongo playground for your reference.