i have collection of objects inside an invitation, having hard time to filter particular object and trigger it's boolean field.
Document:
"Invitation" : [
{
"__v" : 0,
"userID" : ObjectId("54afaabd88694dc019d3b628"),//ObjectId of personA
"__t" : "USER",
"_id" : ObjectId("54b5022b583973580c706784"),
"Accepted" : false
},
{
"__v" : 0,
"userID" : ObjectId("54af6ce091324fd00f97a15f"),//ObjectId of personB
"__t" : "USER",
"_id" : ObjectId("54bde39cdd55dd9016271f14"),
"Accepted" : false
}
]
here i have only two objects inside Invitation array,it can be more than two.
Let's say personA and personB send me Invitation, so two different invitation objects are inserted into database having different fields, with objectId of both persons(userID in above document), now if i accept only invitation of personA, it should trigger accepted field of personA object only, here is what i tried so far, but not working as per expectation.
Controller:
User.find({_id: req.user._id},'Invitation',function(err,docs) {
if (err) {
console.log(err);
}
var results = [];
async.each(docs,function(doc,callback) {
async.each(doc.Invitation,function(invite,callback) {
User.findOneAndUpdate(
{'_id': doc._id, 'Invitation._id': invite._id},
{'$set': {'Invitation.$.Accepted': !invite.Accepted}},
function(err,doc) {
results.push(doc);
callback(err);
}
);
},callback);
},function(err) {
if (err)
console.log(err);
console.log('end'+results);
});
});
finally i am looking for a query which can be used to filter a single element or object, like if i accept invitation of personA then Accepted field of personA object should be set to true.
i would be really helpful if some logic is provided.
Thank you
Not a very clear question. But it seems all you really need to do here is just match the only sub-document you want to update in the first place:
User.find(
{
"_id": "req.user._id",
"Invitation._id": personA.id
},
{ "Invitation.$": 1 },
function(err,docs) {
// and continue
}
);
This is the form of the positional $ operator in a "projection" context. Where only the "singular" matched element is returned.
Once you have a "singular" result, then all the other code works as designed.
I should know after all because I wrote it for you. Not that you are paying any decent respect to that.
Update on Aggregate in Mongodb
Toggle boolean value of subdocuments
Or personA.userID or whatever makes it work.
Just use the unique identifier for the "user" where you expect that to match the query conditions.
You can do this:
db.user.update({"invitation.userID": 1}, {"$set" : {"invitation.$.Accepted" : true}});
Replacing the value 1 with the user ID you want to update.
The code is in the syntax of MongoShell, simply convert to driver syntax you are using
The operator used was the $. According to the documentation: The positional $ operator identifies an element in an array to update without explicitly specifying the position of the element in the array. To project, or return, an array element from a read operation, see the $ projection operator.
For more details see: http://docs.mongodb.org/manual/reference/operator/update/positional/
Related
In the following example, assume the document is in the db.people collection.
How to remove the 3rd element of the interests array by it's index?
{
"_id" : ObjectId("4d1cb5de451600000000497a"),
"name" : "dannie",
"interests" : [
"guitar",
"programming",
"gadgets",
"reading"
]
}
This is my current solution:
var interests = db.people.findOne({"name":"dannie"}).interests;
interests.splice(2,1)
db.people.update({"name":"dannie"}, {"$set" : {"interests" : interests}});
Is there a more direct way?
There is no straight way of pulling/removing by array index. In fact, this is an open issue http://jira.mongodb.org/browse/SERVER-1014 , you may vote for it.
The workaround is using $unset and then $pull:
db.lists.update({}, {$unset : {"interests.3" : 1 }})
db.lists.update({}, {$pull : {"interests" : null}})
Update: as mentioned in some of the comments this approach is not atomic and can cause some race conditions if other clients read and/or write between the two operations. If we need the operation to be atomic, we could:
Read the document from the database
Update the document and remove the item in the array
Replace the document in the database. To ensure the document has not changed since we read it, we can use the update if current pattern described in the mongo docs
You can use $pull modifier of update operation for removing a particular element in an array. In case you provided a query will look like this:
db.people.update({"name":"dannie"}, {'$pull': {"interests": "guitar"}})
Also, you may consider using $pullAll for removing all occurrences. More about this on the official documentation page - http://www.mongodb.org/display/DOCS/Updating#Updating-%24pull
This doesn't use index as a criteria for removing an element, but still might help in cases similar to yours. IMO, using indexes for addressing elements inside an array is not very reliable since mongodb isn't consistent on an elements order as fas as I know.
in Mongodb 4.2 you can do this:
db.example.update({}, [
{$set: {field: {
$concatArrays: [
{$slice: ["$field", P]},
{$slice: ["$field", {$add: [1, P]}, {$size: "$field"}]}
]
}}}
]);
P is the index of element you want to remove from array.
If you want to remove from P till end:
db.example.update({}, [
{ $set: { field: { $slice: ["$field", 1] } } },
]);
Starting in Mongo 4.4, the $function aggregation operator allows applying a custom javascript function to implement behaviour not supported by the MongoDB Query Language.
For instance, in order to update an array by removing an element at a given index:
// { "name": "dannie", "interests": ["guitar", "programming", "gadgets", "reading"] }
db.collection.update(
{ "name": "dannie" },
[{ $set:
{ "interests":
{ $function: {
body: function(interests) { interests.splice(2, 1); return interests; },
args: ["$interests"],
lang: "js"
}}
}
}]
)
// { "name": "dannie", "interests": ["guitar", "programming", "reading"] }
$function takes 3 parameters:
body, which is the function to apply, whose parameter is the array to modify. The function here simply consists in using splice to remove 1 element at index 2.
args, which contains the fields from the record that the body function takes as parameter. In our case "$interests".
lang, which is the language in which the body function is written. Only js is currently available.
Rather than using the unset (as in the accepted answer), I solve this by setting the field to a unique value (i.e. not NULL) and then immediately pulling that value. A little safer from an asynch perspective. Here is the code:
var update = {};
var key = "ToBePulled_"+ new Date().toString();
update['feedback.'+index] = key;
Venues.update(venueId, {$set: update});
return Venues.update(venueId, {$pull: {feedback: key}});
Hopefully mongo will address this, perhaps by extending the $position modifier to support $pull as well as $push.
I would recommend using a GUID (I tend to use ObjectID) field, or an auto-incrementing field for each sub-document in the array.
With this GUID it is easy to issue a $pull and be sure that the correct one will be pulled. Same goes for other array operations.
For people who are searching an answer using mongoose with nodejs. This is how I do it.
exports.deletePregunta = function (req, res) {
let codTest = req.params.tCodigo;
let indexPregunta = req.body.pregunta; // the index that come from frontend
let inPregunta = `tPreguntas.0.pregunta.${indexPregunta}`; // my field in my db
let inOpciones = `tPreguntas.0.opciones.${indexPregunta}`; // my other field in my db
let inTipo = `tPreguntas.0.tipo.${indexPregunta}`; // my other field in my db
Test.findOneAndUpdate({ tCodigo: codTest },
{
'$unset': {
[inPregunta]: 1, // put the field with []
[inOpciones]: 1,
[inTipo]: 1
}
}).then(()=>{
Test.findOneAndUpdate({ tCodigo: codTest }, {
'$pull': {
'tPreguntas.0.pregunta': null,
'tPreguntas.0.opciones': null,
'tPreguntas.0.tipo': null
}
}).then(testModificado => {
if (!testModificado) {
res.status(404).send({ accion: 'deletePregunta', message: 'No se ha podido borrar esa pregunta ' });
} else {
res.status(200).send({ accion: 'deletePregunta', message: 'Pregunta borrada correctamente' });
}
})}).catch(err => { res.status(500).send({ accion: 'deletePregunta', message: 'error en la base de datos ' + err }); });
}
I can rewrite this answer if it dont understand very well, but I think is okay.
Hope this help you, I lost a lot of time facing this issue.
It is little bit late but some may find it useful who are using robo3t-
db.getCollection('people').update(
{"name":"dannie"},
{ $pull:
{
interests: "guitar" // you can change value to
}
},
{ multi: true }
);
If you have values something like -
property: [
{
"key" : "key1",
"value" : "value 1"
},
{
"key" : "key2",
"value" : "value 2"
},
{
"key" : "key3",
"value" : "value 3"
}
]
and you want to delete a record where the key is key3 then you can use something -
db.getCollection('people').update(
{"name":"dannie"},
{ $pull:
{
property: { key: "key3"} // you can change value to
}
},
{ multi: true }
);
The same goes for the nested property.
this can be done using $pop operator,
db.getCollection('collection_name').updateOne( {}, {$pop: {"path_to_array_object":1}})
I am trying to count the number of models in a collection based on a property:
I have an upvote model, that has: post (objectId) and a few other properties.
First, is this good design? Posts could get many upvotes, so I didn’t want to store them in the Post model.
Regardless, I want to count the number of upvotes on posts with a specific property with the following and it’s not working. Any suggestions?
upvote.count({‘post.specialProperty’: mongoose.Types.ObjectId(“id”), function (err, count) {
console.log(count);
});
Post Schema Design
In regards to design. I would design the posts collection for documents to be structured as such:
{
"_id" : ObjectId(),
"proprerty1" : "some value",
"property2" : "some value",
"voteCount" : 1,
"votes": [
{
"voter": ObjectId()// voter Id,
other properties...
}
]
}
You will have an array that will hold objects that can contain info such as voter id and other properties.
Updating
When a posts is updated you could simply increment or decrement the voteCountaccordingly. You can increment by 1 like this:
db.posts.update(
{"_id" : postId},
{
$inc: { voteCount: 1},
$push : {
"votes" : {"voter":ObjectId, "otherproperty": "some value"}
}
}
)
The $inc modifier can be used to change the value for an existing key or to create a new key if it does not already exist. Its very useful for updating votes.
Totaling votes of particular Post Criteria
If you want to total the amount for posts fitting a certain criteria, you must use the Aggregation Framework.
You can get the total like this:
db.posts.aggregate(
[
{
$match : {property1: "some value"}
},
{
$group : {
_id : null,
totalNumberOfVotes : {$sum : "$voteCount" }
}
}
]
)
I have a straightforward mongo collection with an array of subdocuments. I'm trying to do the oft asked "upsert a subdocument in an array". I have read all questions on this topic, but can't seem to get it to work.
Data structure for game_managers:
{
"_id" : ObjectId("555cf465715ff974fb09221f"),
"game_id" : "123456789",
"players" : [
{
"request_email" : "thebigcheese#foobar.com",
"request_notes" : "I love mongo!",
"user_id" : ObjectId("551eb55f555b404d68b88063")
},
{
"request_email" : "morecowbell#example.com",
"request_notes" : "I love oysters!",
"user_id" : ObjectId("551eb55f555b404d68b88063")
}
]
}
When I try to Create / Update with the following code, it always overwrites the first element. I can't get it to even
var col = db.mongo.collection('game_managers');
// Upsert a game manager record for the game
col.update( {game_id:game.place_id}, {$setOnInsert:{game_id:game.game_id}}, { upsert: true }, function(err, result, upserted) {
// Append or update game manager record.
col.update(
{game_id:game.place_id},
{$addToSet: {"players":fields}},
function(err, result) {
next();
}
);
});
I modelled the code from this similar question however it doesn't apply to arrays of subdocuments. I do not want to $pull, and then $push a new element, as the subdocument will ultimately have timestamps and some comments[{},{},{}] subdocs on them.
I know the mongoose-encryption doc states:
update will work fine on unencrypted and unauthenticated fields, but will not work correctly if encrypted or authenticated fields are involved.
And I've observed that when I use the mongoose create method that my fields are encrypted into the _ct field. However if I then use findByIdAndUpdate to update my object I see the fields are created in plain text (as output from mongodb console via find command).
From save
> db.tenants.find().pretty()
{
"_id" : ObjectId("554b7f8e7806c204e0c7589e"),
"_ac" : BinData(0,"YdJjOUJhzDWuDE5oBU4SH33O4qM2hbotQTsF6NzDnx4hWyJfaWQiLCJfY3QiXQ=="),
"_ct" : BinData(0,"YaU4z/UY3djGCKBcgMaNIFHeNp8NJ9Woyh9ahff0hRas4WD80V80JE2B8tRLUs0Qd9B7IIzHsq6O4pYub5VKJ1PIQA+/dbStZpOH/KfvPoDC6DzR5JdoAu+feU7HyFnFCMY81RZeJF5BKJylhY1+mG4="),
"__v" : 0
}
After findByIdAndUpdate
> db.tenants.find().pretty()
{
"_id" : ObjectId("554b7f8e7806c204e0c7589e"),
"_ac" : BinData(0,"YdJjOUJhzDWuDE5oBU4SH33O4qM2hbotQTsF6NzDnx4hWyJfaWQiLCJfY3QiXQ=="),
"_ct" : BinData(0,"YaU4z/UY3djGCKBcgMaNIFHeNp8NJ9Woyh9ahff0hRas4WD80V80JE2B8tRLUs0Qd9B7IIzHsq6O4pYub5VKJ1PIQA+/dbStZpOH/KfvPoDC6DzR5JdoAu+feU7HyFnFCMY81RZeJF5BKJylhY1+mG4="),
"__v" : 0,
"userId" : ObjectId("55268f43cbfc87be221cd611"),
"social" : "123-45-6789",
"last" : "bar",
"first" : "foo"
}
Is there a recommended strategy for updating objects and maintaining the encryption with mongoose-encryption?
As you quoted, the documentation for mongoose-encryption clearly tells that it does not work for update.
https://github.com/joegoldbeck/mongoose-encryption
Mongoose update hook is little tricky as well.
What you can do potentially is model your collection in such a way that fields which needs to be encrypted are a separate collection altogether and in the paren collection just link them via ids.
Person = {
_id: <ObjectId>
name: Blah
..
..
documents: [
{ 'doc_id': <ObjectId1> },
{ 'doc_id': <ObjectId2> },
]
}
Documents = [
{
"_id" : <ObjectId1>,
"_ac" : BinData(0,"YdJjOUJhzDWuDE5oBU4SH33O4qM2hbotQTsF6NzDnx4hWyJfaWQiLCJfY3QiXQ=="),
"_ct" : BinData(0,"YaU4z/UY3djGCKBcgMaNIFHeNp8NJ9Woyh9ahff0hRas4WD80V80JE2B8tRLUs0Qd9B7IIzHsq6O4pYub5VKJ1PIQA+/dbStZpOH/KfvPoDC6DzR5JdoAu+feU7HyFnFCMY81RZeJF5BKJylhY1+mG4="),
"__v" : 0
}
...
...
]
This will increase code reuse as well.
I have implemented an strategy that i don´t think it is most efficient but it works.
I need to have all my data in database encrypted so i can´t use the above approach.
What i did is to create an update function that finds the document i want to modify, then i construct a new schema object and assing the _id of the found document to the new object.
Then i delete the original document and after that save the new object wich has the original _id. The only problem i found is that mongoose throw an error because duplicated _id that is printed in the console but it still works and _id aren´t duplicated.
I have tried replacing the_id and traking the document with another property but it still throw that error, anyway data is stored as expected.
exports.update= (req, res, next) => {
Solucion.findOne({_id: req.params.id})
.then(document => {
if (!document) {
res.status(404).json({
message: notFoundMessage,
data: null,
error: null
})
} else {
const solucion = new Solucion({
_id: document._id,
identificacion: document.identificacion,
informacion: document.informacion,
estado: req.body
})
Solucion.deleteOne({_id: document._id})
.then(() => {return solucion.save()})
.then(result=> {
return res.status(201).json({
message: editedSavedMessage,
data: result,
error: null
});
})
.catch(err => {
errorHandler.errorHandler(err, res);
})
}
})
};
UPDATE 29/07/2020
I have found that if you use the save method using the same _id, data is stored encrypted but Mongo creates your schema structure but with all values set to null.
Beyond that it seems to work as expected as data is not visible in DB.
consider the following records:
user record
{
"_id" : ObjectId("5234ccb7687ea597eabee677"),
"class" : [
{ "_id" : ObjectId("5234ccb7687ea597eabee671", "num" : 10, "color" : "blue" },
{ "_id" : ObjectId("5234ccb7687ea597eabee672", "num" : 100, "color" : "blue" }
]
}
this user has two class sub records, now I need a query that finds all users that have class property where "class._id" has a value of at least one users "class._id"
here is a more detail example:
suppose there is four user:
A:{_id:432645624232345,class:[{_id:123,name:'foo'}]}
B:{_id:432645624232555,class:[{_id:555,name:'foo'},{_id:123,name:'foo'}]}
C:{_id:432645344232345,class:[{_id:555,name:'foo'},{_id:111,name:'www'}]}
D:{_id:432644444232345,class:[{_id:222,name:'sss'},{_id:555,name:'www'},{_id:123,name:'foo'}]}
now if B login , I need to query all the user whose class subdocument contains at least one document which's _id==555 or _id==123 (555 and 123 come from B user), in this case the query result should be:
A:{_id:432645624232345,class:[{_id:123,name:'foo'}]} // match _id=123
B:{_id:432645624232555,class:[{_id:555,name:'foo'},{_id:123,name:'foo'}]} //match _id=123 and _id=555
C:{_id:432645344232345,class:[{_id:555,name:'foo'},{_id:111,name:'www'}]} //match _id=555
D:{_id:432644444232345,class:[{_id:222,name:'sss'},{_id:555,name:'www'},{_id:123,name:'foo'}]} ///match _id=123 and _id=555
which is all the user.
so far i get this:
{"class._id" : { $in : ["5234ccb7687ea597eabee671", "5234ccb7687ea597eabee672"] } }
but when different user login the class._id query condition is different. So is there any operator to do this
{"class._id" : { $in : req.user.class } }
hope I made myself clear.
In order to achieve what you want, first you must isolate the class _ids in an array, and then use it in the query argument.
var classIds = [];
var i = 0;
while (i < req.user.class.length) {
classIds.push(req.user.class[i]._id);
i++;
}
After that you can use classIds array in the query:
{"class._id" : { $in : classIds } }
The following query condition would give you all the users that have at least one class with id equal to any of the elements in the given array:
{"class._id" : { $in : ["5234ccb7687ea597eabee671", "5234ccb7687ea597eabee672"] } }
In the array for the $in clause you may provide any id's you needed , comma separated.
In addition, if you needed such, the below query condition should check for existence of nested document within "class" property that has a property "_id" :
{ "class._id" : { $exists : true } }
Both conditions should work no matter if "class._id" is a single-valued property or an array (mongo supports that).