I have no experience with NoSQL. So, I think, if I just try to ask about the code, my question can be incorrect. Instead, let me explain my problem.
Suppose I have e-store. I have catalogs
Catalogs = new Mongo.Collection('catalogs);
and products in that catalogs
Products = new Mongo.Collection('products');
Then, people add there orders to temporary collection
Order = new Mongo.Collection();
Then, people submit their comments, phone, etc and order. I save it to collection Operations:
Operations.insert({
phone: "phone",
comment: "comment",
etc: "etc"
savedOrder: Order //<- Array, right? Or Object will be better?
});
Nice, but when i want to get stats by every product, in what Operations product have used. How can I search thru my Operations and find every operation with that product?
Or this way is bad? How real pro's made this in real world?
If I understand it well, here is a sample document as stored in your Operation
collection:
{
clientRef: "john-001",
phone: "12345678",
other: "etc.",
savedOrder: {
"someMetadataAboutOrder": "...",
"lines" : [
{ qty: 1, itemRef: "XYZ001", unitPriceInCts: 1050, desc: "USB Pen Drive 8G" },
{ qty: 1, itemRef: "ABC002", unitPriceInCts: 19995, desc: "Entry level motherboard" },
]
}
},
{
clientRef: "paul-002",
phone: null,
other: "etc.",
savedOrder: {
"someMetadataAboutOrder": "...",
"lines" : [
{ qty: 3, itemRef: "XYZ001", unitPriceInCts: 950, desc: "USB Pen Drive 8G" },
]
}
},
Given that, to find all operations having item reference XYZ001
you simply have to query:
> db.operations.find({"savedOrder.lines.itemRef":"XYZ001"})
This will return the whole document. If instead you are only interested in the client reference (and operation _id), you will use a projection as an extra argument to find
:
> db.operations.find({"savedOrder.lines.itemRef":"XYZ001"}, {"clientRef": 1})
{ "_id" : ObjectId("556f07b5d5f2fb3f94b8c179"), "clientRef" : "john-001" }
{ "_id" : ObjectId("556f07b5d5f2fb3f94b8c17a"), "clientRef" : "paul-002" }
If you need to perform multi-documents (incl. multi-embedded documents) operations, you should take a look at the aggregation framework:
For example, to calculate the total of an order:
> db.operations.aggregate([
{$match: { "_id" : ObjectId("556f07b5d5f2fb3f94b8c179") }},
{$unwind: "$savedOrder.lines" },
{$group: { _id: "$_id",
total: {$sum: {$multiply: ["$savedOrder.lines.qty",
"$savedOrder.lines.unitPriceInCts"]}}
}}
])
{ "_id" : ObjectId("556f07b5d5f2fb3f94b8c179"), "total" : 21045 }
I'm an eternal newbie, but since no answer is posted, I'll give it a try.
First, start by installing robomongo or a similar software, it will allow you to have a look at your collections directly in mongoDB (btw, the default port is 3001)
The way I deal with your kind of problem is by using the _id
field. It is a field automatically generated by mongoDB, and you can safely use it as an ID for any item in your collections.
Your catalog
collection should have a string array field called product
where you find all your products collection items _id
. Same thing for the operations: if an order is an array of products _id
, you can do the same and store this array of products _id
in your savedOrder field. Feel free to add more fields in savedOrder if necessary, e.g. you make an array of objects products
with additional fields such as discount
.
Concerning your queries code, I assume you will find all you need on the web as soon as you figure out what your structure is.
For example, if you have a product array in your savedorder array, you can pull it out like that:
Operations.find({_id: "your operation ID"},{"savedOrder.products":1)
Basically, you ask for all the products _id
in a specific operation. If you have several savedOrders in only one operation, you can specify too the savedOrder _id
, if you used the one you had in your local collection.
Operations.find({_id: "your_operation_ID", "savedOrder._id": "your_savedOrder_ID"},{"savedOrder.products":1)
ps: to bad-ass coders here, if I'm doing it wrong, please tell me.
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