Is there a way to update values in an object?
{
_id: 1,
name: 'John Smith',
items: [{
id: 1,
name: 'item 1',
value: 'one'
},{
id: 2,
name: 'item 2',
value: 'two'
}]
}
Lets say I want to update the name and value items for item where id = 2;
I have tried the following w/ mongoose:
var update = {name: 'updated item2', value: 'two updated'};
Person.update({'items.id': 2}, {'$set': {'items.$': update}}, function(err) { ...
Problem with this approach is that it updates/sets the entire object, therefore in this case I lose the id field.
Is there a better way in mongoose to set certain values in an array but leave other values alone?
I have also queried for just the Person:
Person.find({...}, function(err, person) {
person.items ..... // I might be able to search through all the items here and find item with id 2 then update the values I want and call person.save().
});
You're close; you should use dot notation in your use of the $ update operator to do that:
Person.update({'items.id': 2}, {'$set': {
'items.$.name': 'updated item2',
'items.$.value': 'two updated'
}}, function(err) { ...
model.update(
{ _id: 1, "items.id": "2" },
{
$set: {
"items.$.name": "yourValue",
"items.$.value": "yourvalue",
}
}
)
MongoDB Document
There is a mongoose way for doing it.
const itemId = 2;
const query = {
item._id: itemId
};
Person.findOne(query).then(doc => {
item = doc.items.id(itemId );
item["name"] = "new name";
item["value"] = "new value";
doc.save();
//sent respnse to client
}).catch(err => {
console.log('Oh! Dark')
});
There is one thing to remember, when you are searching the object in array on the basis of more than one condition then use $elemMatch
Person.update(
{
_id: 5,
grades: { $elemMatch: { grade: { $lte: 90 }, mean: { $gt: 80 } } }
},
{ $set: { "grades.$.std" : 6 } }
)
here is the docs
For each document, the update operator $set can set multiple values, so rather than replacing the entire object in the items array, you can set the name and value fields of the object individually.
{'$set': {'items.$.name': update.name , 'items.$.value': update.value}}
Below is an example of how to update the value in the array of objects more dynamically.
Person.findOneAndUpdate({_id: id},
{
"$set": {[`items.$[outer].${propertyName}`]: value}
},
{
"arrayFilters": [{ "outer.id": itemId }]
},
function(err, response) {
...
})
Note that by doing it that way, you would be able to update even deeper levels of the nested array by adding additional arrayFilters and positional operator like so:
"$set": {[`items.$[outer].innerItems.$[inner].${propertyName}`]: value}
"arrayFilters":[{ "outer.id": itemId },{ "inner.id": innerItemId }]
More usage can be found in the official docs.
cleaner solution using findOneAndUpdate
await Person.findOneAndUpdate(
{ _id: id, 'items.id': 2 },
{
$set: {
'items.$.name': 'updated item2',
'items.$.value': 'two updated',
}
},
);
In Mongoose, we can update array value using $set inside dot(.) notation to specific value in following way
db.collection.update({"_id": args._id, "viewData._id": widgetId}, {$set: {"viewData.$.widgetData": widgetDoc.widgetData}})
Having tried other solutions which worked fine, but the pitfall of their answers is that only fields already existing would update adding upsert to it would do nothing, so I came up with this.
Person.update({'items.id': 2}, {$set: {
'items': { "item1", "item2", "item3", "item4" } }, {upsert:
true })
I had similar issues. Here is the cleanest way to do it.
const personQuery = {
_id: 1
}
const itemID = 2;
Person.findOne(personQuery).then(item => {
const audioIndex = item.items.map(item => item.id).indexOf(itemID);
item.items[audioIndex].name = 'Name value';
item.save();
});
Found this solution using dot-object and it helped me.
import dot from "dot-object";
const user = await User.findByIdAndUpdate(id, { ...dot.dot(req.body) });
I needed to update an array element with dynamic key-value pairs.
By mapping the update object to new keys containing the $ update operator, I am no longer bound to know the updated keys of the array element and instead assemble a new update object on the fly.
update = {
name: "Andy",
newKey: "new value"
}
new_update = Object.fromEntries(
Object.entries(update).map(
([k, v], i) => ["my_array.$." + k, v]
)
)
console.log({
"$set": new_update
})
In mongoose we can update, like simple array
user.updateInfoByIndex(0,"test")
User.methods.updateInfoByIndex = function(index, info) ={
this.arrayField[index]=info
this.save()
}
update(
{_id: 1, 'items.id': 2},
{'$set': {'items.$[]': update}},
{new: true})
Here is the doc about $[]: https://docs.mongodb.com/manual/reference/operator/update/positional-all/#up.S[]
Related
Suppose I have the following schema:
{
_id: ObjectId(1),
title: string,
answers: [
{
_id: ObjectId(2),
text: string,
upVotes: [
{
_id: ObjectId(3),
userId: ObjectId(4)
}
]
}
]
}
What I want is pull vote of a specific user from answer upvotes, and return the new update result.
For example, find a question with id 1, and get its specific answer with id 2, then from that answer pull my vote using userId inside upvotes.
I want to do it with a single findOneAndUpdate query
You can even use single $ positional with the $pull operator to update the nested array
db.collection.findOneAndUpdate(
{ "_id": ObjectId(1), "answers._id": ObjectId(2) },
{ "$pull": { "answers.$.upVotes": { "userId": ObjectId(4) }}}
)
I think I understood that you want to do a search in the specific array
db.collection.update(
{
"_id": "507f1f77bcf86cd799439011", // id field
"answers.upVotes._id":"507f1f77bcf86cd799439011" //id array
}
),{
"$set":{"answers.$.upVotes": {userId :"507f1f77bcf86cd799439011"}}},//edit
//use "addToSet" for add
This error happens when I tried to update upsert item:
Updating the path 'x' would create a conflict at 'x'
Field should appear either in $set, or in $setOnInsert. Not in both.
I had the same problem while performing an update query using PyMongo.
I was trying to do:
> db.people.update( {'name':'lmn'}, { $inc : { 'key1' : 2 }, $set: { 'key1' : 5 }})
Notice that here I'm trying to update the value of key1 from two MongoDB Update Operators.
This basically happens when you try to update the value of a same key with more than one MongoDB Update Operators within the same query.
You can find a list of Update Operators over here
If you pass the same key in $set and in $unset when updating an item, you will get that error.
For example:
const body = {
_id: '47b82d36f33ad21b90'
name: 'John',
lastName: 'Smith'
}
MyModel.findByIdAndUpdate(body._id, { $set: body, $unset: {name: 1}})
// Updating the path 'name' would create a conflict at 'name'
You cannot have the same path referenced more than once in an update. For example, even though the below would result in something logical, MongoDB will not allow it.
db.getCollection("user").updateOne(
{_id: ...},
{$set: {'address': {state: 'CA'}, 'address.city' : 'San Diego'}}
)
You would get the following error:
Updating the path 'address.city' would create a conflict at 'address'
db.products.update(
{ _id: 1 },
{
$set: { item: "apple" },
$setOnInsert: { defaultQty: 100 }
},
{ upsert: true }
)
Below is the key explanation to the issue:
MongoDB creates a new document with _id equal to 1 from the
condition, and then applies the $set AND $setOnInsert operations to
this document.
If you want a field value is set or updated regardless of insertion or update, use it in $set. If you want it to be set only on insertion, use it in $setOnInsert.
Here is the example: https://docs.mongodb.com/manual/reference/operator/update/setOnInsert/#example
Starting from MongoDB 4.2 you can use aggregate pipelines in update:
db.your_collection.update({
_id: 1
},
[{
$set:{
x_field: {
$cond: {
if: {$eq:[{$type:"$_id"} , "missing"]},
then: 'upsert value', // it's the upsert case
else: '$x_field' // it's the update case
}
}
}
}],
{
upsert: true
})
db.collection.bulkWrite() also supports it
With the Ruby library at least, it's possible to get this error if you have the same key twice, once as a symbol and once as a string:
db.getCollection("user").updateOne(
{_id: ...},
{$set: {'name': "Horse", name: "Horse"}}
)
I recently had the same issue while using the query below.
TextContainer.findOneAndUpdate({ blockId: req.params.blockId, 'content._id': req.params.noteId }, { $set: { 'content.note': req.body.note } }, { upsert: true, new: true })
When i have changed 'content.note' to 'content.$.note' it has been fixed. So my final query is :
TextContainer.findOneAndUpdate({ blockId: req.params.blockId, 'content._id': req.params.noteId }, { $set: { 'content.$.note': req.body.note } }, { upsert: true, new: true })
I have a collection like the following:
{
_id: ...,
userId: test,
cards: [
{ cardId: 166, qty: 2 },
...
]
}
I can send the following query to mongo to update a specific card:
db.getCollection('collections').update(
{ 'userId': 'test', 'cards.cardId': 166},
{ $set: {"cards.$.qty": 3} }
)
I also want to be able to create the card if it doesn't exist (ie. no card with such id) but the documentation says:
Do not use the positional operator $ with upsert operations because
inserts will use the $ as a field name in the inserted document.
Is there any way around this? Can I do an update-if-exists/create with a single request to the database?
try this way
db.getCollection('collections').update(
{ 'userId': 'test', 'cards.$.cardId': 166},
{ $set: {"cards.$.qty": 3} }
)
or
db.getCollection('collections').update(
{ 'userId': 'test', 'cards.0.cardId': 166},
{ $set: {"cards.0.qty": 3} }
)
I have a document of this kind:
{
_id: "123",
arrayName: [
{ text: 'first', field: false},
{ text: 'second', field: true},
{ text: 'third', field: false}
]
}
Now I would like to my query to return the length of filtered arrayName to have only the objects where field === false.
I have tried many queries with db.collection.find({}) but I always receive the entire document and in the end and it count() => to 1.
Any suggestion?
thanks
You can use projection operator to achieve what you want.
Try this:
db.collection.find({
_id : givenId ,
"arrayName.field" : false
},{
"arrayName.$":1
},function(err,result){
if(!err){
len = result.arrayName.length;
//use len however you want.
}
});
"arrayName.$":1 will select only the matched elements of the array. Then you can get the length of array with field:false
Hope this helps!
Another user already give you the right answer for your question using the plain Mongo query. But I think it won't have much because you are using Mongo with Meteor, so here I present you another way to solve your problem by using transform function in find command:
Collection.find({
// ...
}, {
transform(doc) {
doc.filterArrayLength = doc.arrayName.filter(obj => obj.field === false).length;
return doc;
}
}).fetch();
With this command the result will be like:
[
// ...
{
_id: "123",
arrayName: [
{
text: 'first',
field: false
}, {
text: 'second',
field: true
}, {
text: 'third',
field: false
}
],
filterArrayLength: 2
}
]
I am trying to change the type of a field from within the mongo shell.
I am doing this...
db.meta.update(
{'fields.properties.default': { $type : 1 }},
{'fields.properties.default': { $type : 2 }}
)
But it's not working!
The only way to change the $type of the data is to perform an update on the data where the data has the correct type.
In this case, it looks like you're trying to change the $type from 1 (double) to 2 (string).
So simply load the document from the DB, perform the cast (new String(x)) and then save the document again.
If you need to do this programmatically and entirely from the shell, you can use the find(...).forEach(function(x) {}) syntax.
In response to the second comment below. Change the field bad from a number to a string in collection foo.
db.foo.find( { 'bad' : { $type : 1 } } ).forEach( function (x) {
x.bad = new String(x.bad); // convert field to string
db.foo.save(x);
});
Convert String field to Integer:
db.db-name.find({field-name: {$exists: true}}).forEach(function(obj) {
obj.field-name = new NumberInt(obj.field-name);
db.db-name.save(obj);
});
Convert Integer field to String:
db.db-name.find({field-name: {$exists: true}}).forEach(function(obj) {
obj.field-name = "" + obj.field-name;
db.db-name.save(obj);
});
Starting Mongo 4.2, db.collection.update() can accept an aggregation pipeline, finally allowing the update of a field based on its own value:
// { a: "45", b: "x" }
// { a: 53, b: "y" }
db.collection.updateMany(
{ a : { $type: 1 } },
[{ $set: { a: { $toString: "$a" } } }]
)
// { a: "45", b: "x" }
// { a: "53", b: "y" }
The first part { a : { $type: 1 } } is the match query:
It filters which documents to update.
In this case, since we want to convert "a" to string when its value is a double, this matches elements for which "a" is of type 1 (double)).
This table provides the code representing the different possible types.
The second part [{ $set: { a: { $toString: "$a" } } }] is the update aggregation pipeline:
Note the squared brackets signifying that this update query uses an aggregation pipeline.
$set is a new aggregation operator (Mongo 4.2) which in this case modifies a field.
This can be simply read as "$set" the value of "a" to "$a" converted "$toString".
What's really new here, is being able in Mongo 4.2 to reference the document itself when updating it: the new value for "a" is based on the existing value of "$a".
Also note "$toString" which is a new aggregation operator introduced in Mongo 4.0.
In case your cast isn't from double to string, you have the choice between different conversion operators introduced in Mongo 4.0 such as $toBool, $toInt, ...
And if there isn't a dedicated converter for your targeted type, you can replace { $toString: "$a" } with a $convert operation: { $convert: { input: "$a", to: 2 } } where the value for to can be found in this table:
db.collection.updateMany(
{ a : { $type: 1 } },
[{ $set: { a: { $convert: { input: "$a", to: 2 } } } }]
)
For string to int conversion.
db.my_collection.find().forEach( function(obj) {
obj.my_value= new NumberInt(obj.my_value);
db.my_collection.save(obj);
});
For string to double conversion.
obj.my_value= parseInt(obj.my_value, 10);
For float:
obj.my_value= parseFloat(obj.my_value);
db.coll.find().forEach(function(data) {
db.coll.update({_id:data._id},{$set:{myfield:parseInt(data.myfield)}});
})
all answers so far use some version of forEach, iterating over all collection elements client-side.
However, you could use MongoDB's server-side processing by using aggregate pipeline and $out stage as :
the $out stage atomically replaces the existing collection with the
new results collection.
example:
db.documents.aggregate([
{
$project: {
_id: 1,
numberField: { $substr: ['$numberField', 0, -1] },
otherField: 1,
differentField: 1,
anotherfield: 1,
needolistAllFieldsHere: 1
},
},
{
$out: 'documents',
},
]);
To convert a field of string type to date field, you would need to iterate the cursor returned by the find() method using the forEach() method, within the loop convert the field to a Date object and then update the field using the $set operator.
Take advantage of using the Bulk API for bulk updates which offer better performance as you will be sending the operations to the server in batches of say 1000 which gives you a better performance as you are not sending every request to the server, just once in every 1000 requests.
The following demonstrates this approach, the first example uses the Bulk API available in MongoDB versions >= 2.6 and < 3.2. It updates all
the documents in the collection by changing all the created_at fields to date fields:
var bulk = db.collection.initializeUnorderedBulkOp(),
counter = 0;
db.collection.find({"created_at": {"$exists": true, "$type": 2 }}).forEach(function (doc) {
var newDate = new Date(doc.created_at);
bulk.find({ "_id": doc._id }).updateOne({
"$set": { "created_at": newDate}
});
counter++;
if (counter % 1000 == 0) {
bulk.execute(); // Execute per 1000 operations and re-initialize every 1000 update statements
bulk = db.collection.initializeUnorderedBulkOp();
}
})
// Clean up remaining operations in queue
if (counter % 1000 != 0) { bulk.execute(); }
The next example applies to the new MongoDB version 3.2 which has since deprecated the Bulk API and provided a newer set of apis using bulkWrite():
var bulkOps = [];
db.collection.find({"created_at": {"$exists": true, "$type": 2 }}).forEach(function (doc) {
var newDate = new Date(doc.created_at);
bulkOps.push(
{
"updateOne": {
"filter": { "_id": doc._id } ,
"update": { "$set": { "created_at": newDate } }
}
}
);
})
db.collection.bulkWrite(bulkOps, { "ordered": true });
To convert int32 to string in mongo without creating an array just add "" to your number :-)
db.foo.find( { 'mynum' : { $type : 16 } } ).forEach( function (x) {
x.mynum = x.mynum + ""; // convert int32 to string
db.foo.save(x);
});
What really helped me to change the type of the object in MondoDB was just this simple line, perhaps mentioned before here...:
db.Users.find({age: {$exists: true}}).forEach(function(obj) {
obj.age = new NumberInt(obj.age);
db.Users.save(obj);
});
Users are my collection and age is the object which had a string instead of an integer (int32).
You can easily convert the string data type to numerical data type.
Don't forget to change collectionName & FieldName.
for ex : CollectionNmae : Users & FieldName : Contactno.
Try this query..
db.collectionName.find().forEach( function (x) {
x.FieldName = parseInt(x.FieldName);
db.collectionName.save(x);
});
I need to change datatype of multiple fields in the collection, so I used the following to make multiple data type changes in the collection of documents. Answer to an old question but may be helpful for others.
db.mycoll.find().forEach(function(obj) {
if (obj.hasOwnProperty('phone')) {
obj.phone = "" + obj.phone; // int or longint to string
}
if (obj.hasOwnProperty('field-name')) {
obj.field-name = new NumberInt(obj.field-name); //string to integer
}
if (obj.hasOwnProperty('cdate')) {
obj.cdate = new ISODate(obj.cdate); //string to Date
}
db.mycoll.save(obj);
});
demo change type of field mid from string to mongo objectId using mongoose
Post.find({}, {mid: 1,_id:1}).exec(function (err, doc) {
doc.map((item, key) => {
Post.findByIdAndUpdate({_id:item._id},{$set:{mid: mongoose.Types.ObjectId(item.mid)}}).exec((err,res)=>{
if(err) throw err;
reply(res);
});
});
});
Mongo ObjectId is just another example of such styles as
Number, string, boolean that hope the answer will help someone else.
I use this script in mongodb console for string to float conversions...
db.documents.find({ 'fwtweaeeba' : {$exists : true}}).forEach( function(obj) {
obj.fwtweaeeba = parseFloat( obj.fwtweaeeba );
db.documents.save(obj); } );
db.documents.find({ 'versions.0.content.fwtweaeeba' : {$exists : true}}).forEach( function(obj) {
obj.versions[0].content.fwtweaeeba = parseFloat( obj.versions[0].content.fwtweaeeba );
db.documents.save(obj); } );
db.documents.find({ 'versions.1.content.fwtweaeeba' : {$exists : true}}).forEach( function(obj) {
obj.versions[1].content.fwtweaeeba = parseFloat( obj.versions[1].content.fwtweaeeba );
db.documents.save(obj); } );
db.documents.find({ 'versions.2.content.fwtweaeeba' : {$exists : true}}).forEach( function(obj) {
obj.versions[2].content.fwtweaeeba = parseFloat( obj.versions[2].content.fwtweaeeba );
db.documents.save(obj); } );
And this one in php)))
foreach($db->documents->find(array("type" => "chair")) as $document){
$db->documents->update(
array('_id' => $document[_id]),
array(
'$set' => array(
'versions.0.content.axdducvoxb' => (float)$document['versions'][0]['content']['axdducvoxb'],
'versions.1.content.axdducvoxb' => (float)$document['versions'][1]['content']['axdducvoxb'],
'versions.2.content.axdducvoxb' => (float)$document['versions'][2]['content']['axdducvoxb'],
'axdducvoxb' => (float)$document['axdducvoxb']
)
),
array('$multi' => true)
);
}
The above answers almost worked but had a few challenges-
Problem 1: db.collection.save no longer works in MongoDB 5.x
For this, I used replaceOne().
Problem 2: new String(x.bad) was giving exponential number
I used "" + x.bad as suggested above.
My version:
let count = 0;
db.user
.find({
custID: {$type: 1},
})
.forEach(function (record) {
count++;
const actualValue = record.custID;
record.custID = "" + record.custID;
console.log(`${count}. Updating User(id:${record._id}) from old id [${actualValue}](${typeof actualValue}) to [${record.custID}](${typeof record.custID})`)
db.user.replaceOne({_id: record._id}, record);
});
And for millions of records, here are the output (for future investigation/reference)-