Having following data
{
"_id": "...",
"name": "John",
"purchases": [
{
"date": {
"$date": "2016-12-20T00:00:00.000Z"
},
"amount": 1000
},
{
"date": {
"$date": "2016-12-23T00:00:00.000Z"
},
"amount": 100
}
]
}
How to get latest purchase amount as result field with different name?
To get next result:
{
"_id": "...",
"name": "John",
"purchases": [
{
"date": {
"$date": "2016-12-20T00:00:00.000Z"
},
"amount": 1000
},
{
"date": {
"$date": "2016-12-23T00:00:00.000Z"
},
"amount": 100
}
]
},
"latestPurchaseAmount": 100
}
You have to use the $rename take a look at this link
And for your last item you should look at this it will helps you Link
You can do something like this. This below query will unwind all the purchases in the collection and, sort the purchases by date descending and, limit the result to one and project the corresponding amount.
db.purchases.aggregate([{
$unwind: "$purchases"
}, {
$sort: {
"purchases.date": -1
}
}, {
$limit: 1
}, {
$project: {
_id: 0,
latestPurchaseAmount: "$purchases.amount"
}
}]);
Output
{ "latestPurchaseAmount" : 100 }
Related
Recently I'm working with a Mongodb database. Here is the data model of the document I need to run a query on:
{
"creation_date": {
"$date": {
"$numberLong": "1641981205813"
}
},
"user_id": {
"$oid": "61dedd8b7a520461dd78016b"
},
"products": [
{
"_id": {
"$oid": "61dede397a520461dd7818bd"
},
"product_id": {
"$oid": "615071ae8b66e1e9a3d6ea50"
},
"payment": true,
"support_all_payment": false,
"term_ids": null
}
],
"carts_info": [
{
"_id": {
"$oid": "61dede397a520461dd7818be"
},
"support_type": null,
"support_price": 0,
"product_price": 11000,
"product_type": "all",
"final_price": 11000,
"product_id": {
"$oid": "615071ae8b66e1e9a3d6ea50"
}
}
],
"_des": "initial_payment",
"_type": "online",
"_token": "9e0cb4d111f642f1a6f482bb04f1f57b",
"_price": 11000,
"_status": "unpaid",
"_terminal_id": "12605682",
"__v": 0,
"additional_information": {
"saman_bank": {
"MID": "0",
"ResNum": "61dede387a520461dd7818bb",
"State": "CanceledByUser",
"TraceNo": "",
"Wage": "",
"Rrn": "",
"SecurePan": "",
"HashedCardNumber": "",
"Status": "1"
}
}
}
This collection is user orders. I need to count the orders for today. So, I need such a equivalent query for Mongodb Compass the same as this SQL:
SELECT count(1) num,
date(creation_date) date
FROM orders
WHERE date(creation_date) = "2023-02-16"
GROUP BY date
Any idea how can I run this logic on Mongodb Compass?
Use $dateTrunc to perform date only operations.
db.collection.aggregate([
{
"$match": {
$expr: {
$eq: [
{
$dateTrunc: {
date: "$creation_date",
unit: "day"
}
},
ISODate("2022-01-12")
]
}
}
},
{
$group: {
_id: {
$dateTrunc: {
date: "$creation_date",
unit: "day"
}
},
num: {
$sum: 1
}
}
}
])
Mongo Playground
For OP's MongoDB v3.6, we can use $dateToString to perform string comparison on a date-only string.
db.collection.aggregate([
{
$addFields: {
dateOnly: {
"$dateToString": {
"date": "$creation_date",
"format": "%Y-%m-%d"
}
}
}
},
{
$match: {
dateOnly: "2022-01-12"
}
},
{
$group: {
_id: null,
num: {
$sum: 1
}
}
}
])
Mongo Playground
I'm new to MongoDB, and I'm not sure if what I'm trying to do is possible at all. I've exhausted my Google skills, so I'm hoping someone here can give me a push in the right direction.
My data is structured like this:
db={
"people": [
{
"id": 1,
"name": "Pete",
"occupation": "baker"
},
{
"id": 2,
"name": "Mike",
"occupation": "painter"
}
],
"activity": [
{
"baker": "bakes",
"painter": "paints"
}
]
}
Although this is just sample data, my "activity" is a single large document with unique keys that I'm trying to get the value from, based on key name (when it matches value from the "people" document).
What I'm trying to achieve is this output:
[
{
"id": 1,
"name": "Pete",
"occupation": "baker”,
“activity:” “bakes”
},
{
"id": 2,
"name": "Mike",
"occupation": "painter”,
“activity”: “paints”
}
]
Is this possible at all?
If I understand your database and data model, it seems like a poor model.
If the data model was different (see below), the query would be quite simple. Given that, here's one way you could generate your desired output with your model.
db.people.aggregate([
{ "$lookup": {
"from": "activity",
"let": { occ: "$occupation" },
"pipeline": [
{
"$replaceWith": {
"$arrayToObject": {
"$filter": {
"input": { "$objectToArray": "$$ROOT" },
"as": "kv",
"cond": { "$eq": [ "$$kv.k", "$$occ" ] }
}
}
}
}
],
"as": "activity"
}
},
{ "$set": {
"activity": {
"$getField": {
"field": "v",
"input": {
"$first": {
"$objectToArray": { "$first": "$activity" }
}
}
}
}
}
},
{ "$unset": "_id" }
])
Try it on mongoplayground.net.
If your activity collection has this model...
[
{
"occupation": "baker",
"activity": "bakes"
},
{
"occupation": "painter",
"activity": "paints"
}
]
... then the query could be:
db.people.aggregate([
{ "$lookup": {
"from": "activity",
"localField": "occupation",
"foreignField": "occupation",
"as": "activity"
}
},
{ "$set": { "activity": { "$first": "$activity.activity" } } },
{ "$unset": "_id" }
])
Try it on mongoplayground.net.
We are currently using GA4 data API and faced the issue when custom dimensions returns value "(not set)".
We were using the following article to set custom dimension for the session count, but we still receiving "(not set)" values.
Example of request:
{
"dateRanges": [
{
"startDate": "2021-09-01",
"endDate": "2021-09-05"
}
],
"offset": 0,
"limit": 100,
"dimensionFilter": {
"filter": {
"fieldName": "eventName",
"stringFilter": {
"matchType": 1,
"value": "screen_view",
"caseSensitive": true
}
}
},
"dimensions": [
{
"name": "customUser:applicationID"
},
{
"name": "customEvent:ga_session_number"
},
{
"name": "dateHour"
},
{
"name": "platform"
},
{
"name": "sessionSource"
},
{
"name": "sessionMedium"
},
{
"name": "sessionCampaignName"
},
{
"name": "deviceCategory"
}
],
"metrics": [
{
"name": "userEngagementDuration"
}
]
}
Does anybody have any idea why it may happen?
My docs represents an order in the given format:
{
"name", // the client
"sku" // the product
}
So, suppose the follow data exists:
{ "name": "rudolph", "sku": "apple" }
{ "name": "rudolph", "sku": "apple" }
{ "name": "rudolph", "sku": "apple" }
{ "name": "john", "sku": "banana" }
{ "name": "john", "sku": "banana" }
{ "name": "paul", "sku": "banana" }
{ "name": "paul", "sku": "apple" }
{ "name": "peter", "sku": "banana" }
I can get the clients who bought only 1 kind of item with the query:
{
"aggs": {
"clients": {
"terms": {
"field": "name"
},
"aggs": {
"distinct_sku": {
"cardinality": {
"field": "sku"
}
},
"unique_sku": {
"bucket_selector": {
"buckets_path": {
"qty": "distinct_sku"
},
"script": "params.qty == 1"
}
},
"aggs": {
"terms": {
"field": "sku"
}
}
}
}
},
"size": 0
}
which results
{
...
"aggregations": {
"clients": {
...
"buckets": [
{
"key": "rudolph",
"doc_count": 3,
...
"aggs": {
...
"buckets": [
{
"key": "apple",
"doc_count": 3
}
]
}
},
{
"key": "john",
"doc_count": 2,
...
"aggs": {
...
"buckets": [
{
"key": "banana",
"doc_count": 2
}
]
}
},
{
"key": "peter",
"doc_count": 1,
...
"aggs": {
...
"buckets": [
{
"key": "banana",
"doc_count": 1
}
]
}
}
]
}
}
}
It's possible to manage the query to return how much each item appears in the result?
Something like this:
{
"apple" : 1,
"banana" : 2
}
Thanks in advance.
EDIT
My base has a huge amount of clients and a small quantity of products, so:
Iterate over the above aggregation result to build the wanted result is not an option.
If I have to send a query for each product, It's Ok.
Hi guys I've been trying all day to construct this simple mongo query but I can't get the desire output. Below is the query and the current output.
db.customers.aggregate(
{ $match : { "status" : "Closed" } },
{ $unwind: "$lines" },
{ $group : {
_id:{label: "$lines.label",date: {$substr: [ "$date", 0, 10 ]}},
values: { $push: { date: {$substr: [ "$date", 0, 10 ]}} },
count: { $sum: 1 }
}},
{ $project : {
_id : 1,
values:1,
count:1
}}
);
Which outputs the following.
{
"result": [
{
"_id": {
"label": "label",
"date": "2010-10-01"
},
"values": [
{
"date": "2010-10-01"
},
{
"date": "2010-10-01"
},
{
"date": "2010-10-01"
},
{
"date": "2010-10-01"
}
],
"count": 4
},
{
"_id": {
"label": "label",
"date": "2010-10-10"
},
"values": [
{
"date": "2010-10-10"
}
],
"count": 1
},
{
"_id": {
"label": "label",
"date": "2010-07-25"
},
"values": [
{
"date": "2010-07-25"
}
],
"count": 1
}
]
}
However the output below is the one that I'm looking for and just can't get. I can obviously get all the data I desire, just in the wrong places.
{
"result": [
{
"_id": "label",
"values": [
{
"date": "2010-11-27",
"count": 4
},
{
"date": "2010-10-10",
"count": 1
},
{
"date": "2010-07-25",
"count": 1
}
]
}
]
}
Like always thanks for the help and support.
Can you try this:
db.customers.aggregate([
{ $match : { "status" : "Closed" } },
{ $unwind: "$lines" },
{ $group : {
_id:{label: "$lines.label",date: {$substr: [ "$date", 0, 10 ]}},
values: { $push: { date: {$substr: [ "$date", 0, 10 ]}} },
count: { $sum: 1 }
}},
// This one I added to group them behind a single label in an array list
{ $group : {
_id:{
label: "$_id.label"
},
values : {
$push : { date : "$date", count : "$count" }
}
}
},
{ $project : {
_id : 1,
values:1,
count:1
}
}
]);
If I got your problem right, you like to group the counts + dates in an values array. That you can do with $push after the 1st group stage.