I have a lot of mongodb documents in a collection of the form:
{
....
"URL":"www.abc.com/helloWorldt/..."
.....
}
I want to replace helloWorldt with helloWorld to get:
{
....
"URL":"www.abc.com/helloWorld/..."
.....
}
How can I achieve this for all documents in my collection?
db.media.find({mediaContainer:"ContainerS3"}).forEach(function(e,i) {
e.url=e.url.replace("//a.n.com","//b.n.com");
db.media.save(e);
});
Nowadays,
starting Mongo 4.2, db.collection.updateMany (alias of db.collection.update) can accept an aggregation pipeline, finally allowing the update of a field based on its own value.
starting Mongo 4.4, the new aggregation operator $replaceOne makes it very easy to replace part of a string.
// { URL: "www.abc.com/helloWorldt/..." }
// { URL: "www.abc.com/HelloWo/..." }
db.collection.updateMany(
{ URL: { $regex: /helloWorldt/ } },
[{
$set: { URL: {
$replaceOne: { input: "$URL", find: "helloWorldt", replacement: "helloWorld" }
}}
}]
)
// { URL: "www.abc.com/helloWorld/..." }
// { URL: "www.abc.com/HelloWo/..." }
The first part ({ URL: { $regex: /helloWorldt/ } }) is the match query, filtering which documents to update (the ones containing "helloWorldt") and is just there to make the query faster.
The second part ($set: { URL: {...) is the update aggregation pipeline (note the squared brackets signifying the use of an aggregation pipeline):
$set is a new aggregation operator (Mongo 4.2) which in this case replaces the value of a field.
The new value is computed with the new $replaceOne operator. Note how URL is modified directly based on the its own value ($URL).
Before Mongo 4.4 and starting Mongo 4.2, due to the lack of a proper string $replace operator, we have to use a bancal mix of $concat and $split:
db.collection.updateMany(
{ URL: { $regex: "/helloWorldt/" } },
[{
$set: { URL: {
$concat: [
{ $arrayElemAt: [ { $split: [ "$URL", "/helloWorldt/" ] }, 0 ] },
"/helloWorld/",
{ $arrayElemAt: [ { $split: [ "$URL", "/helloWorldt/" ] }, 1 ] }
]
}}
}]
)
Currently, you can't use the value of a field to update it. So you'll have to iterate through the documents and update each document using a function. There's an example of how you might do that here: MongoDB: Updating documents using data from the same document
Using mongodump,bsondump and mongoimport.
Sometimes the mongodb collections can get little complex with nested arrays/objects etc where it would be relatively difficult to build loops around them. My work around is kinda raw but works in most scenarios regardless of complexity of the collection.
1. Export The collection using mongodump into .bson
mongodump --db=<db_name> --collection=<products> --out=data/
2. Convert .bson into .json format using bsondump
bsondump --outFile products.json data/<db_name>/products.bson
3. Replace the strings in the .json file with sed(for linux terminal) or with any other tools
sed -i 's/oldstring/newstring/g' products.json
4. Import back the .json collection with mongoimport with --drop tag where it would remove the collection before importing
mongoimport --db=<db_name> --drop --collection products <products.json
Alternatively you can use --uri for connections in both mongoimport
and mongodump
example
mongodump --uri "mongodb://mongoadmin:mystrongpassword#10.148.0.7:27017,10.148.0.8:27017,10.148.0.9:27017/my-dbs?replicaSet=rs0&authSource=admin" --collection=products --out=data/
To replace ALL occurrences of the substring in your document use:
db.media.find({mediaContainer:"ContainerS3"}).forEach(function(e,i) {
var find = "//a.n.com";
var re = new RegExp(find, 'g');
e.url=e.url.replace(re,"//b.n.com");
db.media.save(e);
});
nodejs. Using mongodb package from npm
db.collection('ABC').find({url: /helloWorldt/}).toArray((err, docs) => {
docs.forEach(doc => {
let URL = doc.URL.replace('helloWorldt', 'helloWorld');
db.collection('ABC').updateOne({_id: doc._id}, {URL});
});
});
The formatting of my comment to the selected answer (#Naveed's answer) has got scrambled - so adding this as an answer. All credit goes to Naveed.
----------------------------------------------------------------------
Just awesome.
My case was - I have a field which is an array - so I had to add an extra loop.
My query is:
db.getCollection("profile").find({"photos": {$ne: "" }}).forEach(function(e,i) {
e.photos.forEach(function(url, j) {
url = url.replace("http://a.com", "https://dev.a.com");
e.photos[j] = url;
});
db.getCollection("profile").save(e);
eval(printjson(e));
})
This can be done by using the Regex in the first part of the method replace and it will replace the [all if g in regex pattern] occurrence(s) of that string with the second string, this is the same regex as in Javascript e.g:
const string = "www.abc.com/helloWorldt/...";
console.log(string);
var pattern = new RegExp(/helloWorldt/)
replacedString = string.replace(pattern, "helloWorld");
console.log(replacedString);
Since the regex is replacing the string, now we can do this is MongoDB shell easily by finding and iterating with each element by the method forEach and saving one by one inside the forEach loop as below:
> db.media.find()
{ "_id" : ObjectId("5e016628a16075c5bd26fbe3"), "URL" : "www.abc.com/helloWorld/" }
{ "_id" : ObjectId("5e016701a16075c5bd26fbe4"), "URL" : "www.abc.com/helloWorldt/" }
>
> db.media.find().forEach(function(o) {o.URL = o.URL.replace(/helloWorldt/, "helloWorld"); printjson(o);db.media.save(o)})
{
"_id" : ObjectId("5e016628a16075c5bd26fbe3"),
"URL" : "www.abc.com/helloWorld/"
}
{
"_id" : ObjectId("5e016701a16075c5bd26fbe4"),
"URL" : "www.abc.com/helloWorld/"
}
> db.media.find()
{ "_id" : ObjectId("5e016628a16075c5bd26fbe3"), "URL" : "www.abc.com/helloWorld/" }
{ "_id" : ObjectId("5e016701a16075c5bd26fbe4"), "URL" : "www.abc.com/helloWorld/" }
>
If you want to search for a sub string, and replace it with another, you can try like below,
db.collection.find({ "fieldName": /.*stringToBeReplaced.*/ }).forEach(function(e, i){
if (e.fieldName.indexOf('stringToBeReplaced') > -1) {
e.content = e.content.replace('stringToBeReplaced', 'newString');
db.collection.update({ "_id": e._id }, { '$set': { 'fieldName': e.fieldName} }, false, true);
}
})
Now you can do it!
We can use Mongo script to manipulate data on the fly. It works for me!
I use this script to correct my address data.
Example of current address: "No.12, FIFTH AVENUE,".
I want to remove the last redundant comma, the expected new address ""No.12, FIFTH AVENUE".
var cursor = db.myCollection.find().limit(100);
while (cursor.hasNext()) {
var currentDocument = cursor.next();
var address = currentDocument['address'];
var lastPosition = address.length - 1;
var lastChar = address.charAt(lastPosition);
if (lastChar == ",") {
var newAddress = address.slice(0, lastPosition);
currentDocument['address'] = newAddress;
db.localbizs.update({_id: currentDocument._id}, currentDocument);
}
}
Hope this helps!
db.filetranscoding.updateMany({ profiles: { $regex: /N_/ } },[{$set: { profiles: {$$replaceAll: { input: "$profiles", find:"N_",replacement: "" }},"status":"100"}}])
filetranscoding -- Collection Name
profiles -- ColumnName in which you want to update
/N_/ -- String which you are searching (where Condition )
find:"N_",replacement: "" -- N_ which u want to remove "" from which you want to remove here we are taking blank String
Related
I'm using mongoDB version 3.2. and i want to check if a string is exist in an array of string, i want to use the regex so if just a part of the given string is exist in a string in the array, that record should be returned.
here's an example of a record:
{
name: "initiative 1",
portfolioItems: ["Non clinical", "ITS portfolio", "Lean"]
}
the following query does not work:
db.collection.aggregate([
{
$match:
{ 'portfolioItems' : { $in: [/term/] } }
}
])
is there anyway to achieve that ?
Try this one.
db.collection.aggregate([
{
$match:
{"portfolioItems":{'$regex':"^it", '$options': 'i'}}
}
])
The symbol ^ used to start from the first of string. If u don't need it. You can remove it.
Your query become
{
$match:
{"portfolioItems":{'$regex':"^"+term, '$options': 'i'}}
}
You have to match the pattern in each element of array.
Try this :
{ 'portfolioItems' : { $regex: [/term/] } }
I have mongodb documents with a field like this:
Image : http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-zoom.jpg
How can I replace the zoom part in the string value with some other text in order to get:
Image : http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-product2.jpg
You could use mongo's forEach() cursor method to do an atomic update with the $set operator :
db.collection.find({}).snapshot().forEach(function(doc) {
var updated_url = doc.Image.replace('zoom', 'product2');
db.collection.update(
{"_id": doc._id},
{ "$set": { "Image": updated_url } }
);
});
Given a very large collection to update, you could speed up things a little bit with bulkWrite and restructure your update operations to be sent in bulk as:
var ops = [];
db.collection.find({}).snapshot().forEach(function(doc) {
ops.push({
"updateOne": {
"filter": { "_id": doc._id },
"update": { "$set": { "Image": doc.Image.replace('zoom', 'product2') } }
}
});
if ( ops.length === 500 ) {
db.collection.bulkWrite(ops);
ops = [];
}
})
if ( ops.length > 0 )
db.collection.bulkWrite(ops);
db.myCollection.update({image: 'http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-zoom.jpg'}, {$set: {image : 'http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-product2.jpg'}})
If you need to do this multiple times to multiple documents, you need to iterate them with a function. See here: MongoDB: Updating documents using data from the same document
Nowadays,
starting Mongo 4.2, db.collection.updateMany (alias of db.collection.update) can accept an aggregation pipeline, finally allowing the update of a field based on its own value.
starting Mongo 4.4, the new aggregation operator $replaceOne makes it very easy to replace part of a string.
// { "Image" : "http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-zoom.jpg" }
// { "Image" : "http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-boom.jpg" }
db.collection.updateMany(
{ "Image": { $regex: /zoom/ } },
[{
$set: { "Image": {
$replaceOne: { input: "$Image", find: "zoom", replacement: "product2" }
}}
}]
)
// { "Image" : "http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-product2.jpg" }
// { "Image" : "http://static14.com/p/Inc.5-Black-Sandals-5131-2713231-7-boom.jpg" }
The first part ({ "Image": { $regex: /zoom/ } }) is just there to make the query faster by filtering which documents to update (the ones containing "zoom")
The second part ($set: { "Image": {...) is the update aggregation pipeline (note the squared brackets signifying the use of an aggregation pipeline):
$set is a new aggregation operator (Mongo 4.2) which in this case replaces the value of a field.
The new value is computed with the new $replaceOne operator. Note how Image is modified directly based on the its own value ($Image).
Is there a way to figure out the fields/keys in a document while in mongo's shell? As an example, let's say we have a document like (pseudocode):
{
"message": "Hello, world",
"from": "hal",
"field": 123
}
I'd like to run a command in the shell that returns the list of fields/keys in that document. For instance, something like this:
> var message = db.messages.findOne()
> message.keys()
... prints out "message, from, field"
Even easier:
Object.keys(db.messages.findOne())
A for ... in loop should do the trick:
> var message = db.messages.findOne();
> for (var key in message) {
... print(key);
... }
Other answers are correct.
However, as I am completely new, I didn't understand where & how the above commands need to be executed.
Below helped, from my github.
On Windows: Run this code in a command prompt (cmd).
On Mac or Linux: Run this code in a terminal window.
// ------------
// start mongo client
mongo
// ------------
// list all databases
show dbs
// NOTE: assume one of the databases is myNewDatabase
// use the 'myNewDatabase' database
use myNewDatabase
// ------------
// show all collections of 'myNewDatabase' database
show collections
// NOTE: assume one of the collections is 'myCollection'
// show all documents of 'myCollection' collection
db.myCollection.find()
// ------------
// field keys
Object.keys(db.myCollection.findOne());
// values
db.myCollection.find().forEach(function(doc) {
for (field in doc) {
print(doc[field]);
}
});
// ------------
To get a list of all fields used in a collection in MongoDB, this is the way I found most straightforward (your mileage may vary :) ):
Create a .js file with the content:
use yourdbname
mr = db.runCommand({
"mapreduce" : "collectionName",
"map" : function() {
for (var key in this) { emit(key, null); }
},
"reduce" : function(key, stuff) { return null; },
"out": "collectionName" + "_keys"
})
db[mr.result].distinct("_id")
I found out how to do this here (GeoffTech blog)
I ran it from the shell to print the output in the console
mongo < nameOfYourFile.js
or dump the output in a text file:
mongo < nameOfYourFile.js > outputDir\nameOfYourOutputFile.txt
I'm totally new to MongoDb so I hope it does indeed get all fields regardless of use throughout the documents!
(I'm using MongoDb on windows 10, so my console may differ from yours)
You can do this in a way that gets all the fields even if not every document in the collection has some of them, and without creating a collection:
return db.collectionName.aggregate( [
{ $project : { x : { $objectToArray : "$$ROOT" } } },
{ $unwind : "$x" },
{ $group : { _id : null, keys : { $addToSet : "$x.k" } } },
] ).toArray()[0].keys.sort();
This is also a handy thing to add to the Mongo shell, which you can do by including it your .mongorc.js file in your home directory:
Object.assign( DBCollection.prototype, {
getAllFieldNames() {
return db[ this._shortName ].aggregate( [
{ $project : { x : { $objectToArray : "$$ROOT" } } },
{ $unwind : "$x" },
{ $group : { _id : null, keys : { $addToSet : "$x.k" } } },
] ).toArray()[0].keys.sort();
},
} );
Then you can just do db.myCollection.getAllFieldNames() when using the shell..
var task = db.task.find().next()
for (let key in task){print(key)}
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)-
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}})