I have this kind of documents in my mongodb (3.4):
{
"_id" : ObjectId("588e7a5951fa0982213c8f72"),
"content" : "This is example"
"createdBy" : ObjectId("5867822e10031569325c87b4"),
"title" : "Notifications",
"community" : NumberLong(7),
"updatedAt" : ISODate("2018-10-18T22:10:37.795Z"),
"tags" : [
null,
{
"type" : "question",
"$ref" : "tag",
"$id" : ObjectId("588e7a5951fa0982213c8f73"),
"$db" : "forum"
},
{
"$id" : ObjectId("588e7a5951fa0982213c8f74"),
"$db" : "forum",
"type" : "question",
"$ref" : "tag"
}
],
"status" : "opened",
"pinned" : false
}
I want to remove null from tags array, so I tried this query:
db.getCollection('question').update(
{ _id : ObjectId("588e7a5951fa0982213c8f72") },
{ $pullAll: { tags: [null] } },
{ multi: true }
)
But, I got this error:
Found $id field without a $ref before it, which is invalid.
[Edit]
I found that $id and $ref is out of sequence in the third record of the tags field. So, can I fix the sequence and remove null using update query?
Related
I have some dummy data in my database. I'm trying to perform mongodb aggregation functions in order to sort based on a given title
{ "_id" : 1, "item" : "ABC1", "fields" : [ { "title" : "firstName", "value" : "Trish" }, { "title" : "zipcode", "value" : "01001" } ] }
{ "_id" : 2, "item" : "ABC2", "fields" : [ { "title" : "firstName", "value" : "Peter" }, { "title" : "zipcode", "value" : "00011" } ] }
The query that i'm able to come up with so far is this and the following is what mongodb returns.
db.test.aggregate([ {$unwind: "$fields"}, {$match: {"fields.title" : "firstName"}}, {$sort: {"fields.value" : 1} }])
{ "_id" : 2, "item" : "ABC2", "fields" : { "title" : "firstName", "value" : "Peter" } }
{ "_id" : 1, "item" : "ABC1", "fields" : { "title" : "firstName", "value" : "Trish" } }
However the result I would the returned dataset should include the other object in the fields list like so. The main thing that I am trying to accomplish is being able to sort the documents based on a specific field title
{ "_id" : 2, "item" : "ABC2", "fields" : [ { "title" : "firstName", "value" : "Peter" }, { "title" : "zipcode", "value" : "00011" } ] }
{ "_id" : 1, "item" : "ABC1", "fields" : [ { "title" : "firstName", "value" : "Trish" }, { "title" : "zipcode", "value" : "01001" } ] }
If you can guarantee the position of the fields, firstName always the first, and so on. You can sort by that. like this:
db.test.find().sort({'fields.0.value': -1})
//or
db.test.find().sort({'fields.0.value': 1})
I need to remove all the objects within array who meet the conditions i will show down below. I'll let here the documents and an example of what i've done.
//document 1
{
"_id" : ObjectId("5ec73abebd7e4d618a057350"),
"code" : "X20",
"title" : "Full stack developer",
"location" : "Paris",
"date" : ISODate("2020-05-22T02:36:46.272Z"),
"candidates" : [
{
"name" : "David",
"last_name" : "Broncano",
"telephone" : "642025552",
"email" : "david#gmail.com"
},
{
"name" : "Pablo",
"last_name" : "Claros",
"telephone" : "628721784",
"email" : "pablo#gmail.com"
}
]
}
// document 2
{
"_id" : ObjectId("4ec73abebd7e4d618a057350"),
"code" : "X50",
"title" : "Full stack developer",
"location" : "Madrid",
"date" : ISODate("2020-05-22T02:36:46.272Z"),
"candidates" : [
{
"name" : "Maria",
"last_name" : "Mars",
"telephone" : "642024582",
"email" : "dasd#gmail.com"
},
{
"name" : "Pablo",
"last_name" : "Claros",
"telephone" : "628721784",
"email" : "pablo#gmail.com"
}
]
}
So i need to remove all the candidates where location is Madrid.I have done this but it removes the field. Is it possible to just remove the content of it using $pull or something?
db.offers.update(
{ location : "Madrid"},
{
$unset:{
"candidates":""
} } ,
{
multi : true
}
)
According to my understanding, you need to just clear the candidates array and maintain that as candidates: []. For this, you can use use $set operator to set candidates to [] based on your condition
db.offers.update({ location : "Madrid"}, { $set:{ "candidates": [] } } , { multi : true })
I have a query below that extracts a couple of values from a large nested document. It tells me the user id and the first item name for each order.
This works fine, however I want it to only return the record where the first item's name is not null and is not blank. I can't figure out how to add a second query to the $match operator below to achieve this
db.getCollection('Orders').aggregate
([
{ $match : { "Items.1" : { $exists : true }}, ???},
{ $project: {
_id:0,
'UserId': '$User.EntityId',
'ItemName': {$arrayElemAt: ['$Items.Details.ItemName', 0]}
}
}
]);
Edited to show sample document
{
"_id" : "order-666156",
"State" : "ValidationFailed",
"LastUpdated" : {
"DateTime" : ISODate("2017-09-26T08:54:16.241Z"),
"Ticks" : NumberLong(636420128562417375)
},
"SourceOrderId" : "666156",
"User" : {
"EntityId" : NumberLong(34450),
"Name" : "Bill Baker",
"Country" : "United States",
"Region" : "North America",
"CountryISOCode" : "US",
},
"Region" : null,
"Currency" : null,
"Items" : [
{
"ClientOrderId" : "18740113",
"OrigClientOrderId" : "18740113",
"Quantity" : NumberDecimal("7487.0"),
"TransactDateTime" : {
"DateTime" : Date(-62135596800000),
"Ticks" : NumberLong(0)
},
"Text" : null,
"LocateRequired" : false,
"Details" : {
"ItemName" : "Test Item 1",
"ItemCost" : 1495.20
}
},
{
"ClientOrderId" : "18740116",
"OrigClientOrderId" : "18740116",
"Quantity" : NumberDecimal("241.0"),
"TransactDateTime" : {
"DateTime" : Date(-62135596800000),
"Ticks" : NumberLong(0)
},
"Text" : null,
"LocateRequired" : false,
"Details" : {
"ItemName" : "Test Item 2",
"ItemCost" : 2152.64
}
}
]
}
You need to add the two conditions to your existing $match (not null and not blank) to check the Items as:
$match : { "Items.1" : { $exists : true, "$ne": null,"$ne":""}
If you want to check the element Items[0].Details.ItemName you can doing using the operator $and
{ $match : {
$and: [
{"Items.1" : { $exists : true }},
{"Items.Details.ItemName" : { $ne : null}},
{"Items.Details.ItemName" : { $ne : ""}},
]
}},
I have this document in stored in my collection:
{ "_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"companyId" : ObjectId("570269639caabe24e4e4043e"),
"descriptions" : [
{ "id" : ObjectId("5707b95b8415b224a48a0b2a"), "description" : "test" },
{ "id" : ObjectId("570cd8164fff3a20f88c0dc9"), "description" : "test1" },
{ "id" : ObjectId("570ce6ba4fff3a052c8c570f"), "description" : "etr" },
{ "id" : ObjectId("570cf1b64fff3a1a14d71716"), "description" : "43" },
{ "id" : ObjectId("570cf1b64fff3a1a14d71717"), "description" : "43" },
{ "id" : ObjectId("570cf1b64fff3a1a14d71719"), "description" : "345" }
],
"options" : [
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"), "description" : "test" },
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"), "description" : "test1" }
]
}
Now I'm trying to get the objects from the options array that are matching the descriptionId and here is how I'm doing it
db.CustomFields.find({companyId: ObjectId("570269639caabe24e4e4043e")},{"options.descriptionId": ObjectId("5707b95b8415b224a48a0b2a")})
But the result contains only the descriptionId - the description property is missing.
here is how the result looks like:
{ "_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"options" : [
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a") },
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a") }
]
}
Why my query is not returning the full document from the array, but only a part of it? Can you give me a push?
EDIT
This is what I'm expecting to get from the query
{ "_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"options" : [
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a", "description" : "test") },
{ "descriptionId" : ObjectId("5707b95b8415b224a48a0b2a", "description" : "test1") }
]
}
You need to include the other query with "options.descriptionId" together with the companyId query and use projection to return just the array you want.
The following shows this:
db.customFields.find(
{
"companyId": ObjectId("570269639caabe24e4e4043e"),
"options.descriptionId": ObjectId("5707b95b8415b224a48a0b2a")
},
{ "options": 1 }
);
Output
{
"_id" : ObjectId("5707b95b8415b224a48a0b2d"),
"options" : [
{
"descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"),
"description" : "test"
},
{
"descriptionId" : ObjectId("5707b95b8415b224a48a0b2a"),
"description" : "test1"
}
]
}
Try this
db.CustomFields.find({companyId: ObjectId("570269639caabe24e4e4043e"),"options.descriptionId": ObjectId("5707b95b8415b224a48a0b2a")})
Mongoose/Mongo noob here:
My Data
Here is my simplified data, each user has his own document
{ "__v" : 1,
"_id" : ObjectId( "53440e94c02b3cae81eb0065" ),
"email" : "test#test.com",
"firstName" : "testFirstName",
"inventories" : [
{ "_id" : "active",
"tags" : [
"inventory",
"active",
"vehicles" ],
"title" : "activeInventory",
"vehicles" : [
{ "_id" : ObjectId( "53440e94c02b3cae81eb0069" ),
"tags" : [
"vehicle" ],
"details" : [
{ "_id" : ObjectId( "53440e94c02b3cae81eb0066" ),
"year" : 2007,
"transmission" : "Manual",
"price" : 1000,
"model" : "Firecar",
"mileageReading" : 50000,
"make" : "Bentley",
"interiorColor" : "blue",
"history" : "CarProof",
"exteriorColor" : "blue",
"driveTrain" : "SWD",
"description" : "test vehicle",
"cylinders" : 4,
"mileageType" : "kms" } ] } ] },
{ "title" : "soldInventory",
"_id" : "sold",
"vehicles" : [],
"tags" : [
"inventory",
"sold",
"vehicles" ] },
{ "title" : "deletedInventory",
"_id" : "deleted",
"vehicles" : [],
"tags" : [
"inventory",
"sold",
"vehicles" ] } ] }
As you can see, each user has an inventories property that is an array that contains 3 inventories (activeInventory, soldInventory and deletedInventory)
My Query
Given an user's email a a vehicle ID, i would like my query to go through find the user's activeInventory and return just the vehicle that matches the ID. Here is what I have so far:
user = api.mongodb.userModel;
ObjectId = require('mongoose').Types.ObjectId;
return user
.findOne({email : params.username})
.select('inventories')
.find({'title': 'activeInventory'})
//also tried
//.where('title')
//.equals('activeInventory')
.exec(function(err, result){
console.log(err);
console.log(result);
});
With this, result comes out as an empty array. I've also tried .find('inventories.title': 'activeInventory') which strangely returns the entire inventories array. If possible, I'd like to keep the chaining query format as I find it much more readable.
My Ideal Query
return user
.findOne({email : params.username})
.select('inventories')
.where('title')
.equals('activeInventory')
.select('vehicles')
.id(vehicleID)
.exec(cb)
Obviously it does not work but it can give you an idea what I'm trying to do.
Using the $ positional operator, you can get the results. However, if you have multiple elements in the vehicles array all of them will be returned in the result, as you can only use one positional operator in the projection and you are working with 2 arrays (one inside another).
I would suggest you take a look at the aggregation framework, as you'll get a lot more flexibility. Here's an example query for your question that runs in the shell. I'm not familiar with mongoose, but I guess this will still help you and you'd be able to translate it:
db.collection.aggregate([
// Get only the documents where "email" equals "test#test.com" -- REPLACE with params.username
{"$match" : {email : "test#test.com"}},
// Unwind the "inventories" array
{"$unwind" : "$inventories"},
// Get only elements where "inventories.title" equals "activeInventory"
{"$match" : {"inventories.title":"activeInventory"}},
// Unwind the "vehicles" array
{"$unwind" : "$inventories.vehicles"},
// Filter by vehicle ID -- REPLACE with vehicleID
{"$match" : {"inventories.vehicles._id":ObjectId("53440e94c02b3cae81eb0069")}},
// Tidy up the output
{"$project" : {_id:0, vehicle:"$inventories.vehicles"}}
])
This is the output you'll get:
{
"result" : [
{
"vehicle" : {
"_id" : ObjectId("53440e94c02b3cae81eb0069"),
"tags" : [
"vehicle"
],
"details" : [
{
"_id" : ObjectId("53440e94c02b3cae81eb0066"),
"year" : 2007,
"transmission" : "Manual",
"price" : 1000,
"model" : "Firecar",
"mileageReading" : 50000,
"make" : "Bentley",
"interiorColor" : "blue",
"history" : "CarProof",
"exteriorColor" : "blue",
"driveTrain" : "SWD",
"description" : "test vehicle",
"cylinders" : 4,
"mileageType" : "kms"
}
]
}
}
],
"ok" : 1
}
getting the chaining query format ... i dont know how to parse it but, what you are searching for is projection, you should take a look to http://docs.mongodb.org/manual/reference/operator/projection/
it would probably look like this :
user.findOne({email: params.username}, {'inventories.title': {$elemMatch: "activeInventory", 'invertories.vehicle.id': $elemMatch: params.vehicleId}, function(err, result) {
console.log(err);
console.log(result);
})