Actually I need to remove an element from the array based on its position. Using $pop we can remove element from top or bottom (considering it as a stack. 0th element at top) as explained here.
We can also remove element from array based on the value of the elements in the array using $pull as explained here.
But I need to remove element from the array based on position. So is there any way I can do this.
From documentation:
{ $pull : { field : {$gt: 3} } } removes array elements greater than 3
So i suppose that you can do somethig like this for now:
{ $pull : { field : {$gt: 3, $lt: 5} } } // shoud remove elemet in 4 position
Or try update using position operator, i suppose shoud be something like this:
{ $pull : "field.4" }
{ $pull : {"field.$": 4}}
It is only a suggestion, because i can't test it right now.
Update:
Seems you cant do it right know in one step(there is such bug in jira)
But you can remove using unset element in position and that pull elemets with null value:
{$unset : {"array.4" : 1 }}
{$pull : {"array" : null}}
That is how possible to do that with latest mongodb v4.2, ugly but working
_id: ObjectId("5e4539cb6aebbeaa0a6b8fe7")
}, [
{ $set:
{ notes:
{
$concatArrays: [
{ $slice: ['$notes', 4] },
{ $slice: ['$notes', { $add: [1, 4] }, { $size: '$notes' }]}
]
}
}
}
])```
Here's your answer: MongoDB pull array element from a collection
To remove specific element from an array of some document first you need to identify this element. For instance I have a document with array and every element of this array is an object:
{
"_id" : ObjectId("5140f34888dd50971900002d"),
"_permissions" : {
"edit" : [
{
"profile_id" : NumberLong(123),
"comment" : "app/project owner"
},
{
"profile_id" : NumberLong("153579099841888257"),
"comment" : "project admin"
},
{
"profile_id" : NumberLong("153579095869882369"),
"comment" : "project admin"
}
],
"view" : [
{
"profile_id" : NumberLong(123),
"comment" : "app/project owner"
},
{
"profile_id" : NumberLong("153579099841888257"),
"comment" : "project admin"
},
{
"profile_id" : NumberLong("153579095869882369"),
"comment" : "project admin"
}
]
}
}
So let's remove profile_id with "153579099841888257" value from _permissions.view array.
Here we go
db.collection.update({_id: ObjectId("5140f34888dd50971900002d")}, {$pull:{"_permissions.view": {"profile_id": NumberLong("153579099841888257")}}});
I define scope of the object (to make sure id doesn't affect any other first found document)
Identify needed element to pull out: profile_id with "153579099841888257" value in the _permissions.view array
Related
So heres my mongodb document:
{
"_id" : "",
"lists" : [
{
"name" : "list 1",
"items" : []
},
{
"name" : "list 2",
"items" : []
}
]
}
How would I go about adding an object inside "items"?
This is the code I have so far, but it doesn't work:
xxx.update(_id, {$push: { "lists.$.items": item}});
Note that I have access to the index (variable called 'index'), so its possible to insert an item at index, 0, 1, 2..., etc.
I tried this before, but it won't work:
xxx.update({_id, "lists": index}, {$push: { "lists.$.items": item}});
I also looked at other similar questions and couldn't find anything. Most of them have some sort of id field in their arrays, but I don't.
What about
xxx.update({_id}, {$push: { "lists.index.items": item}});
Of course this would fail, what I mean is replace index with real index values
xxx.update({_id}, {$push: { "lists.2.items": item}});
You can manipulate the update json based on the index maybe as below.
var update = '{$push: { "lists.'+index+'.items": '+item+'}}';
var updateObj = JSON.parse(update);
xxx.update({_id}, updateObj);
Not sure if it will work as it is or it would need further tweaking, but you get the idea.
I have a mongo document that contains an array called history:
{
"_id" : ObjectId("575fe85bfe98c1fba0a6e535"),
"email" : "email#address",
"__v" : 0,
"history" : [
{
"name" : "Test123",
"organisation" : "Rat",
"field" : 4,
"another": 3
}
]
}
I want to add fields to each history object or update fields IF the name AND organisation match, however if they don't, I want to add a new object to the array with the queried name and organisation and add/update the other fields to the object when necessary.
So:
This query, finds one that matches:
db.users.find({
email:"email#address",
$and: [
{ "history.name": "Test123", "history.organisation": "Rat"}
]
})
However, I'm struggling to get the update/upsert to work IF that combination of history.name and history.organisation dont exist in the array.
What I think I need to do is a :
"If this history name does not equal 'Test123' AND the history organisation does not equal 'Rat' then add an object to the array with those fields and any other field provided in the update query."
I tried this:
db.users.update({
email:"email#address",
$and: [
{ "history.name": "Test123", "history.organisation": "Rat"}
]
}, {
history: { name: "Test123"},
history: { organisation: "Rat"}
}, {upsert:true})
But that gave me E11000 duplicate key error index: db.users.$email_1 dup key: { : null }
Any help greatly appreciated.
Thanks community!
Not possible with a single atomic update I'm afraid, you would have to do a couple of update operations that satisfy both conditions.
Break down the update logic into two distinct update operations, the first one would require using the positional $ operator to identify the element in the history array you want and the $set to update the existing fields. This operation follows the logic update fields IF the name AND organisation match
Now, you'd want to use the findAndModify() method for this operation since it can return the updated document. By default, the returned document does not include the modifications made on the update.
So, armed with this arsenal, you can then probe your second logic in the next operation i.e. update IF that combination of "history.name" and "history.organisation" don't exist in the array. With this second
update operation, you'd need to then use the $push operator to add the elements.
The following example demonstrates the above concept. It initially assumes you have the query part and the document to be updated as separate objects.
Take for instance when we have documents that match the existing history array, it will just do a single update operation, but if the documents do not match, then the findAndModify() method will return null, use this logic in your second update operation to push the document to the array:
var doc = {
"name": "Test123",
"organisation": "Rat"
}, // document to update. Note: the doc here matches the existing array
query = { "email": "email#address" }; // query document
query["history.name"] = doc.name; // create the update query
query["history.organisation"] = doc.organisation;
var update = db.users.findAndModify({
"query": query,
"update": {
"$set": {
"history.$.name": doc.name,
"history.$.organisation": doc.organisation
}
}
}); // return the document modified, if there's no matched document update = null
if (!update) {
db.users.update(
{ "email": query.email },
{ "$push": { "history": doc } }
);
}
After this operation for documents that match, querying the collection will yield the same
db.users.find({ "email": "email#address" });
Output:
{
"_id" : ObjectId("575fe85bfe98c1fba0a6e535"),
"email" : "email#address",
"__v" : 0,
"history" : [
{
"name" : "Test123",
"organisation" : "Rat",
"field" : 4,
"another" : 3
}
]
}
Now consider documents that won't match:
var doc = {
"name": "foo",
"organisation": "bar"
}, // document to update. Note: the doc here does not matches the current array
query = { "email": "email#address" }; // query document
query["history.name"] = doc.name; // create the update query
query["history.organisation"] = doc.organisation;
var update = db.users.findAndModify({
"query": query,
"update": {
"$set": {
"history.$.name": doc.name,
"history.$.organisation": doc.organisation
}
}
}); // return the document modified, if there's no matched document update = null
if (!update) {
db.users.update(
{ "email": query.email },
{ "$push": { "history": doc } }
);
}
Querying this collection for this document
db.users.find({ "email": "email#address" });
would yield
Output:
{
"_id" : ObjectId("575fe85bfe98c1fba0a6e535"),
"email" : "email#address",
"__v" : 0,
"history" : [
{
"name" : "Test123",
"organisation" : "Rat",
"field" : 4,
"another" : 3
},
{
"name" : "foo",
"organisation" : "bar"
}
]
}
I have a document that looks like this:
{
"_id" : ObjectId("56fea43a571332cc97e06d9c"),
"sections" : [
{
"_id" : ObjectId("56fea43a571332cc97e06d9e"),
"registered" : [
"123",
"e3d65a4e-2552-4995-ac5a-3c5180258d87"
]
}
]
}
I'd like to remove the 'e3d65a4e-2552-4995-ac5a-3c5180258d87' in the registered array of only the specific section with the _id of '56fea43a571332cc97e06d9e'.
My current attempt is something like this, but it just returns the original document unmodified.
db.test.findOneAndUpdate(
{
$and: [
{'sections._id': ObjectId('56fea43a571332cc97e06d9e')},
{'sections.registered': 'e3d65a4e-2552-4995-ac5a-3c5180258d87'}
]
},
{
$pull: {
$and: [
{'sections._id': ObjectId('56fea43a571332cc97e06d9e')},
{'sections.registered': 'e3d65a4e-2552-4995-ac5a-3c5180258d87'}
]
}
})
I've looked in to $pull, but I can't seem to figure out how to make it work on an array of nested objects containing another array. The $pull examples all seem to deal with only one level of nesting. How do I remove the matching entry from the registered array of the item in the sections array with the _id that I supply?
You need to use the positional $ update operator to remove the element from your array. You need this is because "sections" is an array of sub-documents.
db.test.findOneAndUpdate(
{ "sections._id" : ObjectId("56fea43a571332cc97e06d9e") },
{ "$pull": { "sections.$.registered": "e3d65a4e-2552-4995-ac5a-3c5180258d87" } }
)
How to get subdocument element's count inside an array and how to update the subdocument's key in MongoDB
For eg, following is the whole doc stored in mongodb:
{
"CompanyCode" : "SNBN",
"EventCode" : "ET00008352",
"EventName" : "Sunburn Presents Avicii India Tour",
"TktDetail" : [
{
"Type" : "Category I",
"Qty" : {
"10-Dec" : {
"value" : 58
},
"11-Dec" : {
"value" : 83
},
"12-Dec" : {
"value" : 100
}
}
},
{
"Type" : "Category II",
"Qty" : {
"10-Dec" : {
"value" : 4
},
"11-Dec" : {
"value" : 7
},
"12-Dec" : {
"value" : 8
}
}
},
{
"Type" : "PRICE LEVEL 1",
"Qty" : {
"11-Dec" : {
"value" : 2
}
}
},
{
"Type" : "CatIV",
"Qty" : {
"18-Dec" : {
"value" : 20
}
}
}
],
"TransDate" : [
"10-Dec-2013",
"11-Dec-2013",
"12-Dec-2013",
],
"VenueCode" : "SNBN",
"VenueName" : "Sunburn",
"_id" : ObjectId("52452db273b92012c41ad612")
}
Here TktDetail is an array, inside which there is a Qty subdoc which contains multiple elements, I want to know how to get the elements count inside Qty per index?
For example, the 0th index of TktDetail array contains 1 Qty subdoc, which further has a element count of 3, whereas 3rd index has element count of 1 in Qty subdoc.
If I want to update the subdoc key, like, I want to update the date in Qty from "10-Dec" to "10-Dec-2013", how is it possible?
Thanks in advance, looking for a reply ASAP..
So the first thing here is that you actually asked two questions, being "how do I get a count of the items under Qty?" and "how can I change the names?". Now while normally unrelated I'm going to treat them as the same thing.
What you need to do is change your schema and in doing so I'm going to allow you to get the count of items and I'm going to encourage you to change those field names as well. Specifically you need a schema like this:
"TktDetail" : [
{
"Type" : "Category I",
"Qty" : [
{ "date": ISODate("2013-12-10T00:00:00.000Z") , "value" : 58 },
{ "date": ISODate("2013-12-11T00:00:00.000Z"), "value" : 83 },
{ "date": ISODate("2013-12-01T00:00:00.000Z"), "value" : 100 },
]
},
All the gory details are in my answer here to a similar question. But the problem basically is that when you use sub-documents in the way you have you are ruining your chances of doing any meaningful query operations on this, as to get at each element you must specify the full path to get there.
That answer has more detail, but the case is you really want an array. The trade-off, it's a little harder to update, especially considering you have nested arrays, but it's a lot easier to add and much easier to query.
Also, and related, change your dates to be dates and not strings. The strings, are no good for comparisons inside MongoDB. With them set as proper BSON dates (noting I clipped them to the start of day) you can compare, and query ranges and do useful things. Your application code will be happy to as the driver will return a real date object, rather than something you have to manipulate "both ways".
So once you have read through, understood and implemented this, on to counting:
db.collection.aggregate([
// Unwind the TktDetail array to de-normalize
{"$unwind": "$TktDetail"},
// Also Unwind the Qty array
{"$unwind": "$Qty" },
// Get some group information and count the entries
{"$group": {
"_id": {
"_id": "$_id,
"EventCode": "$EventCode",
"Type": "$TktDetail.Type"
},
"Qty": {"$sum": 1 }
}},
// Project nicely
{"$project": {
"_id": 0,
"EventCode": "$_id.EventCode",
"Type: "$_id.Type",
"Qty": 1,
}},
// Let's even sort it
{"$sort": { "EventCode": 1, "Qty" -1 }}
])
So that allowed us to get a count of the items in Qty for each EventCode by Type with the Qty ordered higest to lowest.
And that is not possible on your current schema without loading and traversing each document in code.
So there is the case. Now if you want to ignore this and just go about changing the sub-document key names, then you'll need to do remove the key and underlying document and replace with the new key name, using update:
db.collection.update(
{ EventCode: "ET00008352"},
{ $unset:{ "TktDetail.0.Qty.10-Dec": "" }}
)
db.collection.update(
{ EventCode: "ET00008352"},
{ $set:{ "TktDetail.0.Qty.10-Dec-2013": { value: 58 } }}
)
And you'll need to do that for every item that you have.
So you either work out that schema conversion or otherwise have a lot of work anyway in order to change the keys. For myself, I'd do it properly, and only do it once so I didn't run into the next problem later.
I have a document in MongoDB as below.
{
"CorePrice" : 1,
"_id" : 166,
"partno" : 76,
"parttype" : "qpnm",
"shipping" :
[
{
"shippingMethod1" : "ground",
"cost1" : "10"
},
{
"shippingMethod2" : "air",
"cost2" : "11"
},
{
"shippingMethod3" : "USPS",
"cost3" : "3"
},
{
"shippingMethod4" : "USPS",
"cost4" : 45
}
]
}
My goal is to add CorePrice (1) to cost4 (45) and retrieve the computed value as a new column "dpv". I tried using the below query. However I receive an error exception: $add only supports numeric or date types, not Array. I'm not sure why. Any kind of help will be greatly appreciated.
db.Parts.aggregate([
{
$project: {
partno: 1,
parttype: 1,
dpv: {$add: ["$CorePrice","$shipping.cost1"]}
}
},
{
$match: {"_id":{$lt:5}}
}
]);
When you refer to the field shipping.cost1 and shipping is an array, MongoDB does not know which entry of the shipping-array you are referring to. In your case there is only one entry in the array with a field cost1, but this can't be guaranteed. That's why you get an error.
When you are able to change your database schema, I would recommend you to turn shipping into an object with a field for each shipping-type. This would allow you to address these better. When this is impossible or would break some other use-case, you could try to access the array entry by numeric index (shipping.0.cost1).
Another thing you could try is to use the $sum-operator to create the sum of all shipping.cost1 fields. When there is only one element in the array with a field cost1, the result will be its value.
I am able to achieve this by divorcing the query into two as below.
var pipeline1 = [
{
"$unwind": "$shipping"
},
{
$project:{
partno:1,
parttype:1,
dpv:{
$add:["$CorePrice","$shipping.cost4"]
}
}
},
{
$match:{"_id":5}
}
];
R = db.tb.aggregate( pipeline );