I'm pretty sure the below can be done, I'm struggling to understand how to do it in MongoDB.
My data is structured like this (demo data):
db={
"recipes": [
{
"id": 1,
"name": "flatbread pizza",
"ingredients": {
"1010": 1,
"1020": 2,
"1030": 200
}
},
{
"id": 2,
"name": "cheese sandwich",
"ingredients": {
"1040": 1,
"1050": 2
}
}
],
"ingredients": [
{
"id": 1010,
"name": "flatbread",
"unit": "pieces"
},
{
"id": 1020,
"name": "garlic",
"unit": "clove"
},
{
"id": 1030,
"name": "tomato sauce",
"unit": "ml"
},
{
"id": 1040,
"name": "bread",
"unit": "slices"
},
{
"id": 1050,
"name": "cheese",
"unit": "slices"
}
]
}
The output I'm trying to achieve would look like this:
[
{
"id": 1,
"name": "flatbread pizza",
“flatbread”: “1 pieces”,
“garlic”: “2 cloves”,
“tomato sauce”: “200 ml”
},
{
"id": 2,
"name": "cheese sandwich",
“bread”: “1 slices”,
“cheese”: “2 slices”
}
]
I've tried several approaches, and I get stuck at the bit where I need to do a lookup based on the ingredient name (which actually is the id). I tried using $objectToArray to turn it into a k-v document, but then I get stuck in how to construct the lookup pipeline.
This is not a simple solution, and probably can be improved:
db.recipes.aggregate([
{
"$addFields": {
ingredientsParts: {
"$objectToArray": "$ingredients"
}
}
},
{
$unwind: "$ingredientsParts"
},
{
"$group": {
_id: "$id",
name: {
$first: "$name"
},
ingredientsParts: {
$push: {
v: "$ingredientsParts.v",
id: {
$toInt: "$ingredientsParts.k"
}
}
}
}
},
{
"$lookup": {
"from": "ingredients",
"localField": "ingredientsParts.id",
"foreignField": "id",
"as": "ingredients"
}
},
{
$unwind: "$ingredients"
},
{
"$addFields": {
"ingredientsPart": {
"$filter": {
input: "$ingredientsParts",
as: "item",
cond: {
$eq: [
"$$item.id",
"$ingredients.id"
]
}
}
}
}
},
{
$project: {
ingredients: 1,
ingredientsPart: {
"$arrayElemAt": [
"$ingredientsPart",
0
]
},
name: 1
}
},
{
"$addFields": {
units: {
k: "$ingredients.name",
v: {
"$concat": [
{
$toString: "$ingredientsPart.v"
},
" ",
"$ingredients.unit"
]
}
}
}
},
{
$group: {
_id: "$_id",
name: {
$first: "$name"
},
units: {
$push: "$units"
}
}
},
{
"$addFields": {
"data": {
"$arrayToObject": "$units"
}
}
},
{
"$addFields": {
"data.id": "$_id",
"data.name": "$name"
}
},
{
"$replaceRoot": {
"newRoot": "$data"
}
}
])
You can see it works here
As rickhg12hs said, it can be modeled better.
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.
I've been able to make a script to save a file using the new fileCreate but when I try to delete a file with fileDelete, I can't seems to get the right ID.
mutation fileDelete($fileIds: [ID!]!) {
fileDelete(fileIds: $fileIds) {
userErrors {
field
message
}
deletedFileIds
}
}
I pass the ID from my last image: "gid://shopify/ImageSource/20805776113730", called with a new private app key (which should use the v2021-10)
If anybody got that mutation to work, I would appreciate any help.
Response from Shopify:
{
"data": {
"fileDelete": null
},
"errors": [{
"message": "invalid id",
"locations": [{
"line": 3,
"column": 4
}],
"path": ["fileDelete"]
}],
"extensions": {
"cost": {
"requestedQueryCost": 10,
"actualQueryCost": 1,
"throttleStatus": {
"maximumAvailable": 1000,
"currentlyAvailable": 999,
"restoreRate": 50
}
}
}
}
Here is what's send:
{
"query": "mutation fileDelete($fileIds: [ID!]!) {\r\n\t\t\tfileDelete(fileIds: $fileIds) {\r\n\t\t\t userErrors {\r\n\t\t\t\tfield\r\n\t\t\t\tmessage\r\n\t\t\t }\r\n\t\t\t deletedFileIds\r\n\t\t\t}\r\n\t\t }",
"variables": {
"fileIds": "gid:\/\/shopify\/ImageSource\/20825330909250"
}
}
You need to send the ImageMedia ID:
{
"fileIds": "gid://shopify/MediaImage/20835931816073"
}
To get that ID, you need to send your request like this:
{
files(first: 99, reverse:true){
edges{
cursor
node{
... on MediaImage {
id
mimeType
image {
originalSrc
}
}
__typename
createdAt
fileStatus
preview{
image{
altText
id
transformedSrc
originalSrc
}
status
}
}
}
}
}
Response:
{
"data": {
"files": {
"edges": [
{
"cursor": "xxxxxx",
"node": {
"id": "gid:\/\/shopify\/MediaImage\/xxxx",
"mimeType": "image\/png",
"image": {
"originalSrc": "xxxx"
},
"__typename": "MediaImage",
"createdAt": "2021-10-21T17:39:58Z",
"fileStatus": "READY",
"preview": {
"image": {
"altText": "xxxx",
"id": "gid:\/\/shopify\/ImageSource\/xxxx",
"transformedSrc": "xxxx",
"originalSrc": "xxxx"
},
"status": "READY"
}
}
},
]
}
},
"extensions": {
"cost": {
"requestedQueryCost": 398,
"actualQueryCost": 18,
"throttleStatus": {
"maximumAvailable": 1000.0,
"currentlyAvailable": 982,
"restoreRate": 50.0
}
}
}
}
I'm trying to create a new spreadsheet using spreadsheets#create, with specified row groups.
In the API Explorer, I am entering in the JSON below. which corresponds to the following appearance:
No errors are flagged or returned when I execute the call, but when the sheet is created, the specified grouping is not created - only the values are set.
{ "properties": {
"title": "Test Spreadsheet",
"locale": "en"
},
"sheets": [
{ "properties": {"title": "Test1"},
"data": [
{
"startRow": 0,
"startColumn": 0,
"rowData": [
{ "values": [
{ "userEnteredValue": { "stringValue": "Top1" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "Top2" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "" } },
{ "userEnteredValue": { "stringValue": "Top2A" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "" } },
{ "userEnteredValue": { "stringValue": "Top2B" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "" } },
{ "userEnteredValue": { "stringValue": "Top2C" } }
]
},
{ "values": [
{ "userEnteredValue": { "stringValue": "Top3" } }
]
}
]
}
],
"rowGroups": [
{ "range": {
"dimension": "ROWS",
"startIndex": 2,
"endIndex": 5
}
}
]
}
]
}
Even when I create the rowGroups JSON directly on the page, with its structured editor to make sure it is properly defined, the created spreadsheet still doesn't group the specified rows. I have triple-checked all my objects from the top down, and can't see what I am doing wrong.
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.