How to select two-level data structure in MongoDB? - mongodb

I'm developing an online shopping application, which has two-level product type. Now I'm using MongoDB to store it. My programming language is TypeScript.
My model is like below:
class ProductTypeModel {
_id: ObjectID;
name: string;
sort: number; // sort
status: number; // enable | disable
children: Object[]; // sub types, like [{ _id: ObjectID('xx', name: 'xx', sort: xx, status: xx) }]
create_time: Date;
update_time: Date;
}
If we have data like below:
{
"_id" : ObjectId("5b8fe56218de48345a6b7079"),
"create_time" : ISODate("2018-09-05T14:17:06.912Z"),
"update_time" : ISODate("2018-09-05T14:17:06.912Z"),
"name" : "Books",
"sort" : 0,
"status" : 1,
"children" : [
{
"_id" : ObjectId("5b8fe56218de48345a6b7075"),
"name" : "Computer",
"sort" : 1,
"status" : 1
},
{
"_id" : ObjectId("5b8fe56218de48345a6b7076"),
"name" : "Math",
"sort" : 2,
"status" : 0
},
{
"_id" : ObjectId("5b8fe56218de48345a6b7077"),
"name" : "Novel",
"sort" : 3,
"status" : 1
}
]
}
How can I select types and children types with status=1 ?
My current solution is to select base types first, and traverse to exclude children whose status is 0. Is there a better way to do it?

$redact aggregation stage this will do the job:
db['03'].aggregate(
[
{
$redact: {
$cond: {
if: { $eq: [ "$status", 1 ] },
then: "$$DESCEND",
else: "$$PRUNE"
}
}
},
],
);
output :
{
"_id" : ObjectId("5b8fe56218de48345a6b7079"),
"create_time" : ISODate("2018-09-05T16:17:06.912+0200"),
"update_time" : ISODate("2018-09-05T16:17:06.912+0200"),
"name" : "Books",
"sort" : NumberInt(0),
"status" : NumberInt(1),
"children" : [
{
"_id" : ObjectId("5b8fe56218de48345a6b7075"),
"name" : "Computer",
"sort" : NumberInt(1),
"status" : NumberInt(1)
},
{
"_id" : ObjectId("5b8fe56218de48345a6b7077"),
"name" : "Novel",
"sort" : NumberInt(3),
"status" : NumberInt(1)
}
]
}

Related

How to sort by mutiple fields with conditons in MongoDB

Need help to sort these documents:
const docs = Docs.find(
{
'publishedOn.profileId': groupProfile._id,
},
{ sort: { ??? }}
);
I need to find documents which has defined 'publishedOn.profileId' and
sort by 'awards.type' = 'challengeWinner' and by its 'awards.score'
Not all document has awards.type = 'challengeWinner'. I need to
take on the top 'awards.score' = 1, then 2, then 3 and then the rest by 'writtenDate'.
I have no idea how to fix it. Is it possible?
[
{
"_id" : "5FW9EDW8gi3M8R7XK",
"createdAt" : ISODate("2021-06-13T00:11:48.638Z"),
"title" : "My solution",
"writtenDateType" : 4,
"writtenDate" : ISODate("2021-06-13T00:00:00.000Z"),
"userId" : "dC35hwe6XMRhvqWBv",
"publishedOn" : [
{
"profileId" : "36oPw2zxYCpKxfiu2",
"publishedDate" : ISODate("2021-06-13T00:11:48.787Z"),
"userId" : "dC35hwe6XMRhvqWBv"
},
{
"profileId" : "9y2RwJpzzyk29ApiC",
"userId" : "dC35hwe6XMRhvqWBv",
"publishedDate" : ISODate("2021-06-13T00:16:01.529Z")
}
],
"awards" : [
{
"type" : "topPoem",
"score" : 5,
"addedAt" : ISODate("2021-06-24T23:04:10.454Z"),
"updatedAt" : ISODate("2021-06-25T23:30:00.069Z")
},
{
"type" : "challengeWinner",
"score" : 2,
"challengeId" : "9y2RwJpzzyk29ApiC",
"addedAt" : ISODate("2021-06-24T23:04:10.454Z"),
"updatedAt" : ISODate("2021-06-25T23:30:00.069Z")
}
]
},
{
"_id" : "upzvo8BeHyQ9r9Yfv",
"createdAt" : ISODate("2021-06-19T15:35:13.716Z"),
"title" : "Briches",
"writtenDateType" : 2,
"writtenDate" : ISODate("2003-01-01T00:00:00.000Z"),
"userId" : "A32228XMuZqxFe4Kz",
"publishedOn" : [
{
"profileId" : "MLGkCtNyZ64bGKedG",
"publishedDate" : ISODate("2021-06-19T15:35:13.861Z"),
"userId" : "A32228XMuZqxFe4Kz"
},
{
"profileId" : "9y2RwJpzzyk29ApiC",
"userId" : "A32228XMuZqxFe4Kz",
"publishedDate" : ISODate("2021-06-19T15:35:36.280Z")
}
],
"awards" : [
{
"type" : "challengeWinner",
"score" : 1,
"challengeId" : "9y2RwJpzzyk29ApiC",
"addedAt" : ISODate("2021-06-24T22:59:00.948Z"),
"updatedAt" : ISODate("2021-06-25T23:30:00.067Z"),
"claps" : 19,
"clapsUsers" : 4
},
{
"type" : "suggestedHomepage",
"score" : 1,
"addedAt" : ISODate("2021-06-24T22:59:59.981Z"),
"updatedAt" : ISODate("2021-06-24T22:59:59.981Z")
}
]
}
]
I just learned and tried to solve your problem. I used aggregate to do the filter in your data.
First I selected all the items which $match the `publishedOn.profileId".
Then, I $project(ed) the items that are needed. In this case, I took the writtenDate and the matching awards.
In order to choose the needed value from awards, I $filter (ed) the award type.
Last, I did $sort for the award score first and then writtenDate,
db.collection.aggregate([
{
"$match": {
"publishedOn.profileId": "9y2RwJpzzyk29ApiC"
}
},
{
"$project": {
"writtenDate": 1,
"awards": {
"$filter": {
"input": "$awards",
"as": "award",
"cond": {
"$eq": [
"$$award.type",
"challengeWinner"
]
}
}
}
}
},
{
"$sort": {
"awards.score": 1,
"writtenDate": 1,
}
}
])
Working of above query: https://mongoplayground.net/p/MzWQCR2Gshg
Happy Coding !!!

Mongodb aggregation: how to use unwind->group->project multiple times

I have an orders collection where I need to calculate some sums from multiple sub-arrays arrays but I can't figure out how to loose the multiplied items that the double unwind creates.
db.Orders.aggregate(
{$unwind: "$items"},
{$unwind: "$shipping"},
{$group: {
_id: {
year: { '$year': '$createdAt' },
month: { '$month': '$createdAt' },
day: { '$dayOfMonth': '$createdAt' }
},
mainItems: { $addToSet: '$items' },
totalSales: {$sum: {
$multiply: ["$items.quantity", "$items.variants.price"]
}},
averageSales: {$avg: {$multiply: ["$items.quantity", "$items.variants.price"]}},
/* this will not sum the individial orders because the unwind
* created multiple document per order*/
ordersPlaced: {$sum: 1},
itemsPurchased: {$sum: "$items.quantity"},
totalRefundAmount: {$sum: 0},
chargedForShipping: {$sum: "$shipping.shipmentMethod.rate"}
}}
)
If I take out the shipping from the unwind and the group the query will return the correct values except for the chargedForShipping (0 since it's unwinded) and ordersPlaces which will still be more than expected (but I also need the shipping information and even more additional ones that I took out for easier understanding).
Sample data:
[{
"_id" : "xK29ZHxGcYvgWgx5p",
"sessionId" : "yw7e9G7uBzYTy9Grq",
"userId" : "fZREMm2DmsnMosMKj",
"shopId" : "oiqQDnuBwabj44q2o",
"billing" : [
{
"shopId" : "oiqQDnuBwabj44q2o",
"_id" : "9TMJj9w65MmAkgg27",
"paymentMethod" : {
"amount" : 22.45,
"status" : "settled",
"mode" : "capture",
"transactionId" : "AP",
"createdAt" : ISODate("2016-02-15T13:44:35.116Z"),
"transactions" : [
{ type:"refund", amount:5}
]
}
},
{
"shopId" : "9YfkXWyCci8fN43Pj",
"_id" : "RwW8xMnFzQqdTpqtg",
"paymentMethod" : {
"createdAt" : ISODate("2016-02-15T13:44:35.116Z")
}
},
{
"shopId" : "SgXWPKGJkxBw6qsbT",
"_id" : "ASizt6BtkxpCxgEJn",
"paymentMethod" : {
"createdAt" : ISODate("2016-02-15T13:44:35.116Z")
}
}
],
"shipping" : [
{
"_id" : "yXb5T5zLuxPYmgoT5",
"shipmentMethod" : {
"name" : "Continental US",
"_id" : "womiJX2QZBFQQWFur",
"rate" : 9.949999999999999,
"shopId" : "9YfkXWyCci8fN43Pj",
},
"items" : [
{
"_id" : "48s9bmDfrRMqnkije",
"productId" : "KXtF5xqERWJsXk2yP",
"shopId" : "SgXWPKGJkxBw6qsbT",
"variantId" : "YQDHuyPHbhx4wruZx",
"quantity" : 1
}
],
"packed" : false,
"shipped" : false,
}
],
"items" : [
{
"_id" : "hhuiGFTBkLACLpPjQ",
"shopId" : "9YfkXWyCci8fN43Pj",
"productId" : "sDYNXMrnRJiyQ8gex",
"quantity" : 1,
"variants" : {
"_id" : "muJi6Bqnq2CD8B7AR",
"price" : 2.5,
"title" : "egy",
"weight" : 23,
},
"type" : "simple",
},
{
"_id" : "48s9bmDfrRMqnkije",
"shopId" : "SgXWPKGJkxBw6qsbT",
"productId" : "KXtF5xqERWJsXk2yP",
"quantity" : 1,
"variants" : {
"_id" : "YQDHuyPHbhx4wruZx",
"title" : "Bogi varinat title",
"price" : 10,
"type" : "variant",
"compareAtPrice" : 100000,
"weight" : 100,
},
"type" : "simple",
}
],
"email" : "test#user.com",
"createdAt" : ISODate("2016-02-15T13:44:35.091Z"),
"updatedAt" : ISODate("2016-02-15T14:24:55.174Z")
}]
What I would need is orderTotal per month, shippingTotal per month, totalRefunded per month, average sales per month. The issue is one I need from the items sub-array the other from the shipping sub-array and the third from the billing sub-array that is why I have issues with the unwind.

MongoDB: Sort in combination with Aggregation group

I have a collection called transaction with below documents,
/* 0 */
{
"_id" : ObjectId("5603fad216e90d53d6795131"),
"statusId" : "65c719e6727d",
"relatedWith" : "65c719e67267",
"status" : "A",
"userId" : "100",
"createdTs" : ISODate("2015-09-24T13:15:36.609Z")
}
/* 1 */
{
"_id" : ObjectId("5603fad216e90d53d6795134"),
"statusId" : "65c719e6727d",
"relatedWith" : "65c719e6726d",
"status" : "B",
"userId" : "100",
"createdTs" : ISODate("2015-09-24T13:14:31.609Z")
}
/* 2 */
{
"_id" : ObjectId("5603fad216e90d53d679512e"),
"statusId" : "65c719e6727d",
"relatedWith" : "65c719e6726d",
"status" : "C",
"userId" : "100",
"createdTs" : ISODate("2015-09-24T13:13:36.609Z")
}
/* 3 */
{
"_id" : ObjectId("5603fad216e90d53d6795132"),
"statusId" : "65c719e6727d",
"relatedWith" : "65c719e6726d",
"status" : "D",
"userId" : "100",
"createdTs" : ISODate("2015-09-24T13:16:36.609Z")
}
When I run the below Aggregation query without $group,
db.transaction.aggregate([
{
"$match": {
"userId": "100",
"statusId": "65c719e6727d"
}
},
{
"$sort": {
"createdTs": -1
}
}
])
I get the result in expected sorting order. i.e Sort createdTs in descending order (Minimal result)
/* 0 */
{
"result" : [
{
"_id" : ObjectId("5603fad216e90d53d6795132"),
"createdTs" : ISODate("2015-09-24T13:16:36.609Z")
},
{
"_id" : ObjectId("5603fad216e90d53d6795131"),
"createdTs" : ISODate("2015-09-24T13:15:36.609Z")
},
{
"_id" : ObjectId("5603fad216e90d53d6795134"),
"createdTs" : ISODate("2015-09-24T13:14:31.609Z")
},
{
"_id" : ObjectId("5603fad216e90d53d679512e"),
"createdTs" : ISODate("2015-09-24T13:13:36.609Z")
}
],
"ok" : 1
}
If I apply the below aggregation with $group, the resultant is inversely sorted(i.e Ascending sort)
db.transaction.aggregate([
{
"$match": {
"userId": "100",
"statusId": "65c719e6727d"
}
},
{
"$sort": {
"createdTs": -1
}
},
{
$group: {
"_id": {
"statusId": "$statusId",
"relatedWith": "$relatedWith",
"status": "$status"
},
"status": {$first: "$status"},
"statusId": {$first: "$statusId"},
"relatedWith": {$first: "$relatedWith"},
"createdTs": {$first: "$createdTs"}
}
}
]);
I get the result in inverse Order i.e. ** Sort createdTs in Ascending order**
/* 0 */
{
"result" : [
{
"_id" : ObjectId("5603fad216e90d53d679512e"),
"createdTs" : ISODate("2015-09-24T13:13:36.609Z")
},
{
"_id" : ObjectId("5603fad216e90d53d6795134"),
"createdTs" : ISODate("2015-09-24T13:14:31.609Z")
},
{
"_id" : ObjectId("5603fad216e90d53d6795131"),
"createdTs" : ISODate("2015-09-24T13:15:36.609Z")
},
{
"_id" : ObjectId("5603fad216e90d53d6795132"),
"createdTs" : ISODate("2015-09-24T13:16:36.609Z")
}
],
"ok" : 1
}
Where am I wrong ?
The $group stage doesn't insure the ordering of the results. See here the first paragraph.
If you want the results to be sorted after a $group, you need to add a $sort after the $group stage.
In your case, you should move the $sort after the $group and before you ask the question : No, the $sort won't be able to use an index after the $group like it does before the $group :-).
The internal algorithm of $group seems to keep some sort of ordering (reversed apparently), but I would not count on that and add a $sort.
You are not doing anything wrong here, Its a $group behavior in Mongodb
Lets have a look in this example
Suppose you have following doc in collection
{ "_id" : 1, "item" : "abc", "price" : 10, "quantity" : 2, "date" : ISODate("2014-01-01T08:00:00Z") }
{ "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "date" : ISODate("2014-02-03T09:00:00Z") }
{ "_id" : 3, "item" : "xyz", "price" : 5, "quantity" : 5, "date" : ISODate("2014-02-03T09:05:00Z") }
{ "_id" : 4, "item" : "abc", "price" : 10, "quantity" : 10, "date" : ISODate("2014-02-15T08:00:00Z") }
{ "_id" : 5, "item" : "xyz", "price" : 5, "quantity" : 10, "date" : ISODate("2014-02-15T09:05:00Z") }
{ "_id" : 6, "item" : "xyz", "price" : 5, "quantity" : 5, "date" : ISODate("2014-02-15T12:05:10Z") }
{ "_id" : 7, "item" : "xyz", "price" : 5, "quantity" : 10, "date" : ISODate("2014-02-15T14:12:12Z") }
Now if you run this
db.collection.aggregate([{ $sort: { item: 1,date:1}} ] )
the output will be in ascending order of item and date.
Now if you add group stage in aggregation pipeline it will reverse the order.
db.collection.aggregate([{ $sort: { item: 1,date:1}},{$group:{_id:"$item"}} ] )
Output will be
{ "_id" : "xyz" }
{ "_id" : "jkl" }
{ "_id" : "abc" }
Now the solution for your problem
change "createdTs": -1 to "createdTs": 1 for group

MongoDB aggregate $match and $group with $sum

i have a collection with documents like this:
{
"Company" : "4433",
"Descripcion" : "trabajo",
"Referencia" : "11817",
"HoraImportado" : "15:54",
"ImportedOd" : "2014-05-20T13:54:28.493Z",
"Items" : [],
"Notes" : [
{
"_id" : ObjectId("537b5ea4c61b1d1743f43420"),
"NoteDateTime" : "2014-05-20T13:54:44.418Z",
"Description" : "nota",
"IsForTechnician" : true,
"Username" : "admin"
},
{
"_id" : ObjectId("537c4a549e956f77ab8c7c38"),
"NoteDateTime" : ISODate("2014-05-21T06:40:20.299Z"),
"Description" : "ok",
"IsForTechnician" : true,
"Username" : "admin"
}
],
"OrderState" : "Review",
"SiniestroDe" : "Emergencia",
"Technicians" : [
{
"TechnicianId" : ObjectId("53465f9d519c94680327965d"),
"Name" : "Administrator",
"AssignedOn" : ISODate("2014-05-20T13:54:44.373Z"),
"RemovedOn" : null
}
],
"TechniciansHistory" : [
{
"TechnicianId" : ObjectId("53465f9d519c94680327965d"),
"Name" : "Administrator",
"AssignedOn" : ISODate("2014-05-20T13:54:44.373Z"),
"RemovedOn" : null
},
{
"Name" : "Nuevo",
"AssignedOn" : ISODate("2014-05-20T13:54:44.373Z"),
"RemovedOn" : null,
"TechnicianId" : ObjectId("5383577a994be8b9a9e3f01e")
}
],
"Telefonos" : "615554006",
"_id" : ObjectId("537b5ea4c61b1d1743f4341f"),
"works" : [
{
"code" : "A001",
"name" : "Cambiar bombilla",
"orderId" : "537b5ea4c61b1d1743f4341f",
"price" : "11",
"ID" : 33,
"lazyLoaded" : true,
"status" : 0,
"Date" : ISODate("2014-05-21T06:40:20.299Z"),
"TechnicianId" : "53465f9d519c94680327965d",
"_id" : ObjectId("537c4a549e956f77ab8c7c39")
},
{
"code" : "A001",
"name" : "Cambiar bombilla",
"orderId" : "537b5ea4c61b1d1743f4341f",
"price" : "11",
"ID" : 34,
"lazyLoaded" : true,
"status" : 0,
"Date" : ISODate("2014-05-21T06:40:20.299Z"),
"TechnicianId" : "53465f9d519c94680327965d",
"_id" : ObjectId("537c4a549e956f77ab8c7c3a")
}
]
}
Now i want to get the works for a selected TechnicianId array, group by TechnicianId and get the sum of the works.price for each technician.+
I try with this:
db.orders.aggregate([
{ $match: { 'works.TechnicianId': {$in:['53465f9d519c94680327965d']}}},
{ $group: { _id: "$works.TechnicianId",total:{$sum:'$works.price'}}},
])
And this is the result:
{
"result" : [
{
"_id" : [
"53465f9d519c94680327965d",
"53465f9d519c94680327965d"
],
"total" : 0
}
],
"ok" : 1
}
The total its the $sum but its 0 but should be 44.
Try adding unwind,
db.orders.aggregate([
{ $match: { 'works.TechnicianId': {$in:['53465f9d519c94680327965d']}}},
{ $unwind: "$works" },
{ $group: { _id: "$works.TechnicianId",total:{$sum:'$works.price'}}},
])
Look here for more info : http://docs.mongodb.org/manual/reference/operator/aggregation/unwind/
The price value is a string. $sum only operates on Numbers.
I've checked this by running the following:
db.foo.insert({"cost": "1"})
db.foo.insert({"cost": "2"})
db.foo.insert({"cost": "3"})
db.foo.insert({"cost": 4})
db.foo.insert({"cost": 5})
db.foo.aggregate([{$group: {_id: null, cost: {$sum: "$cost"}}}])
{ "result" : [ { "_id" : null, "cost" : 9 } ], "ok" : 1 }
According to this answer, you can't cast values in normal Mongo queries, so you can't change the string to a number inline.
You should either update all values to a Number datatype or use map-reduce. I'd go for the former.
If the value is a string to prevent floating point errors, consider multiplying by 100 to store the value in cents: "10.50" --> 1050
As Lalit Agarwal indicated, you'll also need to unwind the array of works. Example of what happens if you don't:
db.bar.insert({"works": [{price: 10}]})
db.bar.insert({"works": [{price: 20}, {price: 30}]})
db.bar.insert({"works": [{price: 40}, {price: 50}]})
db.bar.aggregate([
{$group: {_id: null, total: {$sum: "$works.price"} }}
])
{ "result" : [ { "_id" : null, "total" : 0 } ], "ok" : 1 }
db.bar.aggregate([
{$unwind: "$works"},
{$group: {_id: null, total: {$sum: "$works.price"} }}
])
{ "result" : [ { "_id" : null, "total" : 150 } ], "ok" : 1 }
What $unwind does is make 5 documents out of the initial 3, all with a single value in the works field. It then groups and sums them.
db.inventory.insert(
{
item: “ABC1”,
details: {
model: “14Q3”,
manufacturer: “XYZ Company”
},
stock: [ { size: “S”, qty: 25 }, { size: “M”, qty: 50 } ],
category: “clothing”
}
)

Group by specific element of array with mongo aggregation framework

Is it possible to use the aggregation framework to group by a specific element of an array?
Such that with documents like this:
{
name: 'Russell',
favourite_foods: [
{ name: 'Pizza', type: 'Four Cheeses' },
{ name: 'Burger', type: 'Veggie'}
],
height: 6
}
I could get a distinct list of top favourite foods (ie. foods at index 0) along with the height of the tallest person who's top favourite food that is?
Something like this (although it doesn't work as the array index access dot notation doesn't seem to work in the aggregation framework):
db.people.aggregate([
{ $group : { _id: "$favourite_foods.0.name", max_height: { $max : "$height" } } }
])
Seems like you are relying on the favorite food for each person being first in the array. If so, there is an aggregation framework operator you can take advantage of.
Here is the pipeline you can use:
db.people.aggregate(
[
{
"$unwind" : "$favourite_foods"
},
{
"$group" : {
"_id" : {
"name" : "$name",
"height" : "$height"
},
"faveFood" : {
"$first" : "$favourite_foods"
}
}
},
{
"$group" : {
"_id" : "$faveFood.name",
"height" : {
"$max" : "$_id.height"
}
}
}
])
On this sample dataset:
> db.people.find().pretty()
{
"_id" : ObjectId("508894efd4197aa2b9490741"),
"name" : "Russell",
"favourite_foods" : [
{
"name" : "Pizza",
"type" : "Four Cheeses"
},
{
"name" : "Burger",
"type" : "Veggie"
}
],
"height" : 6
}
{
"_id" : ObjectId("5088950bd4197aa2b9490742"),
"name" : "Lucy",
"favourite_foods" : [
{
"name" : "Pasta",
"type" : "Four Cheeses"
},
{
"name" : "Burger",
"type" : "Veggie"
}
],
"height" : 5.5
}
{
"_id" : ObjectId("5088951dd4197aa2b9490743"),
"name" : "Landy",
"favourite_foods" : [
{
"name" : "Pizza",
"type" : "Four Cheeses"
},
{
"name" : "Pizza",
"type" : "Veggie"
}
],
"height" : 5
}
{
"_id" : ObjectId("50889541d4197aa2b9490744"),
"name" : "Augie",
"favourite_foods" : [
{
"name" : "Sushi",
"type" : "Four Cheeses"
},
{
"name" : "Pizza",
"type" : "Veggie"
}
],
"height" : 6.2
}
You get these results:
{
"result" : [
{
"_id" : "Pasta",
"height" : 5.5
},
{
"_id" : "Pizza",
"height" : 6
},
{
"_id" : "Sushi",
"height" : 6.2
}
],
"ok" : 1
}
Looks like it isn't currently possible to extract a specific element from an array in aggregation:
https://jira.mongodb.org/browse/SERVER-4589
JUST add more information about the result after using "$wind":
DOCUMENT :
> db.people.find().pretty()
{
"_id" : ObjectId("508894efd4197aa2b9490741"),
"name" : "Russell",
"favourite_foods" : [
{
"name" : "Pizza",
"type" : "Four Cheeses"
},
{
"name" : "Burger",
"type" : "Veggie"
}
],
"height" : 6
},
...
AGGREAGATION :
db.people.aggregate([{
$unwind: "$favourite_foods"
}]);
RESULT :
{
"_id" : ObjectId("508894efd4197aa2b9490741"),
"name" : "Russell",
"favourite_foods" :{
"name" : "Pizza",
"type" : "Four Cheeses"
},
"height" : 6
},
{
"_id" : ObjectId("508894efd4197aa2b9490741"),
"name" : "Russell",
"favourite_foods" : {
"name" : "Burger",
"type" : "Veggie"
},
"height" : 6
}
In Addition:
If there are more than two array fields in one collection record,
we can use "$project" stage to specify the array field.
db.people.aggregate([
{
$project:{
"favourite_foods": 1
}
},
{
$unwind: "$favourite_foods"
}
]);
I think you can make use of the $project and $unwind operators (let me know if this isn't what you're trying to accomplish):
> db.people.aggregate(
{$unwind: "$favourite_foods"},
{$project: {food : "$favourite_foods", height: 1}},
{$group : { _id: "$food", max_height: { $max : "$height" } } })
{
"result" : [
{
"_id" : {
"name" : "Burger",
"type" : "Veggie"
},
"max_height" : 6
},
{
"_id" : {
"name" : "Pizza",
"type" : "Four Cheeses"
},
"max_height" : 6
}
],
"ok" : 1
}
http://docs.mongodb.org/manual/applications/aggregation/
Since mongoDB version 3.2 You can simply use $arrayElemAt and $max:
db.collection.aggregate([
{
$set: {favourite_foods: {$arrayElemAt: ["$favourite_foods", 0]}}
},
{
$group: {
_id: "$favourite_foods.name",
maxHeight: {$max: "$height"}
}
}
])
Playground example