I want to insert array element where Title is 'Cities' but it either doesnt insert or inserts in new array not Links.Link. Any Idea what I am doing wrong. I have tried push and $addToSet
{
"Component" : [
{
"Title" : "regions",
"Links" : {
"Link" : [
{
"Text" : "Tyrol",
"Url" : "/1xf-en700p/cheap-holidays-tyrol",
"Title" : "Cheap holidays Tyrol"
},
{
"Text" : "Browse Regions ",
"Url" : "/1xf-en6ujz-10ts/cheap-holidays-austria/regions",
"Title" : "Cheap holidays Austria",
"Style" : "BrowseForMore"
}
]
}
},
{
"Title" : "cities",
"Links" : {
"Link" : [
{
"Text" : "Maria Saal",
"Url" : "/1xf-enu4dl/cheap-holidays-maria-saal",
"Title" : "Cheap holidays Maria Saal"
},
{
"Text" : "Nessendorf",
"Url" : "/1xf-enwvu8/cheap-holidays-nessendorf",
"Title" : "Cheap holidays Nessendorf"
},
]
}
},
],
"Id" : "125570",
}
with
var pd = { Text: 'test',Url: 'test',Title: 'test' };
db.PopularDestinationsUk.update
(
{
Id: '125570'
,'Component.Title': 'cities'}
}
,
{
$push:
{
'Component.Link.$.Links { Text: 'NEW',Url: 'NEW',Title: 'NEW' }}}
}
}
)
but it doesnt insert into right place
Update your query as follows :
db.PopularDestinationsUk.update({Id: "125570", "Component.Title" : "cities"}, {$push : {"Component.$.Links.Link" : {Text: 'NEW',Url: 'NEW',Title: 'NEW'}}})
Related
I want to remove a topic by id from the following collection. Here is the hierarchy of the collection - Area.
Area ---
|
---Subjects---
|
Courses---
|
Chapters----
|
Topics
The Area example is as following.
{
"_id" : ObjectId("607f7c67f64e993a5c9b9793"),
"name" : "Automatic Engineering",
"description" : "this is the description.",
"created" : ISODate("2021-04-21T01:14:15.736Z"),
"subjects" : [
{
"description" : "dddd",
"name" : "Transfer Function",
"_id" : ObjectId("607f7c7af64e993a5c9b9794"),
"created" : ISODate("2021-04-21T01:14:34.943Z"),
"courses" : [
{
"description" : "dddd",
"name" : "conception",
"_id" : ObjectId("607f7c9af64e993a5c9b9796"),
"created" : ISODate("2021-04-21T01:15:06.696Z"),
"chapters" : [
{
"description" : "chapter 1",
"name" : "Chapter 1",
"_id" : ObjectId("607f7cb4f64e993a5c9b9798"),
"created" : ISODate("2021-04-21T01:15:32.855Z"),
"topics" : [
{
"description" : "1",
"name" : "Topic 1",
"_id" : ObjectId("607f7ccef64e993a5c9b979b"),
"created" : ISODate("2021-04-21T01:15:58.064Z")
},
{
"description" : "2",
"name" : "Topic 2",
"_id" : ObjectId("607f7cd5f64e993a5c9b979c"),
"created" : ISODate("2021-04-21T01:16:05.663Z")
},
{
"description" : "3",
"name" : "Topic 3",
"_id" : ObjectId("607f7cdcf64e993a5c9b979d"),
"created" : ISODate("2021-04-21T01:16:12.336Z")
}
]
},
{
"description" : "chapter2",
"name" : "Chapter 2",
"_id" : ObjectId("607f7cbcf64e993a5c9b9799"),
"created" : ISODate("2021-04-21T01:15:40.231Z"),
"topics" : []
},
{
"description" : "chapter 3",
"name" : "Chapter 3",
"_id" : ObjectId("607f7cc5f64e993a5c9b979a"),
"created" : ISODate("2021-04-21T01:15:49.000Z"),
"topics" : []
}
]
},
{
"description" : "dddd",
"name" : "exercise",
"_id" : ObjectId("607f7ca6f64e993a5c9b9797"),
"created" : ISODate("2021-04-21T01:15:18.465Z"),
"chapters" : []
}
]
},
{
"description" : "this is the example",
"name" : "State Space Equation",
"_id" : ObjectId("607f7c8ef64e993a5c9b9795"),
"created" : ISODate("2021-04-21T01:14:54.056Z"),
"courses" : []
}
],
"__v" : 0
}
And I need to remove topic object in chapters array. So this is what I have done.
areaModel.findOneAndUpdate({
'_id': req.body.area_id,
'subjects._id': req.body.subject_id,
'courses._id': req.body.course_id,
'chapter._id': req.body.chapter_id
}, {
"$pull": {
"subjects.$.courses.$.chapters.$.topics": {
_id: req.body.topic_id
}
}
}, (err, result) =>{
if (err) {
return res.json({success: false, msg: err});
} else {
return res.json({success: true, msg:"successfully removed" });
}
});
By using $pull method of mongoose, I could remove the course from the area easily. But it was impossible for me to remove the more nested items like chapters and topics.
How can I solve this issue?
you can do so with the use of arrayFilters like so:
db.collection.updateOne(
{
_id: ObjectId("607f7c67f64e993a5c9b9793")
},
{
$pull: {
"subjects.$[s].courses.$[c].chapters.$[ch].topics": {
_id: ObjectId("607f7ccef64e993a5c9b979b")
}
}
},
{
arrayFilters: [
{
"s._id": { $eq: ObjectId("607f7c7af64e993a5c9b9794") }
},
{
"c._id": { $eq: ObjectId("607f7c9af64e993a5c9b9796") }
},
{
"ch._id": { $eq: ObjectId("607f7cb4f64e993a5c9b9798") }
}
]
})
https://mongoplayground.net/p/kVyV27nnkII
Try it:
areaModel.findOneAndUpdate(
{ _id: req.body.area_id },
{
$pull: {
"subjects.$[].courses.$[].chapters.$[].topics": {
_id: req.body.topic_id,
},
},
}
);
I have a document which looks like this
{
_id:'asasasasa23sdsdsd',
source:'page',
url:[]
}
I need to upsert some values/objects to the url array. the objects that need to be upserted looks like this.
{
"type" : "blog",
"value" : "hello blog",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
}
Then it would look like this
{
_id:'asasasasa23sdsdsd',
source:'page',
url:[{
"type" : "admin",
"value" : "hello admin",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
},
{
"type" : "blog",
"value" : "hello blog",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
}
]
}
Here the id and the type fields are unique. I need to insert them if they do not exist or update them if they do.
This is the code that I have tried
db.collection(TABLE_NAME).update(
{ source: data.source },
{
source: data.source,
url: [data.urls]
},
{ upsert: true }
);
With this, it just replaces the array object with a new object. How to upsert instead of replacing the object?
I think this code will help.
let arr = [
{
"type" : "admin",
"value" : "hello admin",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
},
{
"type" : "blog",
"value" : "hello blog",
"id" : "1815f620-b45c-4230-85bb-7ba90ac330ed",
"datetime" : "2019-12-26 15:58:33"
}
];
db.users.update(
{ _id: doc._id },
{
$set: {
"url": arr
}
}
);
This is the document in my collection
{
"_id" : ObjectId("5d766c18791adb12cc607d49"),
"name" : "myapp",
"openApp" : true,
"appDeveloper" : "Arun",
"environments" : [
{
"environment_id" : ObjectId("5d766c18791adb12cc607d45"),
"environment_name" : "production_env_updated",
"environment_type" : "prod",
"services" : [
{
"service_id" : ObjectId("5d766c18791adb12cc607d46"),
"service_name" : "some_updated",
"service_type" : "..."
},
{
"service_id" : ObjectId("5d766d45791adb12cc607d4a"),
"service_name" : "updated 2",
"service_type" : "..."
}
]
},
{
"environment_id" : ObjectId("5d766c18791adb12cc607d48"),
"environment_name" : "demo_env",
"environment_type" : "stage",
"services" : [
{
"service_id" : ObjectId("5d766d45791adb12cc607d4b"),
"service_name" : "perfectly new",
"service_type" : "perfect"
}
]
}
]
}
I wanted to run a query that would update only "service_id" : ObjectId("5d766c18791adb12cc607d46") within the services-array and then add a new service-object
I executed the below query and doesn't know how to move further
db.app_attributes.update ({"_id" : ObjectId("5d766c18791adb12cc607d49")},
{ '$set': {"environments.services.service_id" : ObjectId("5d766c18791adb12cc607d46") : {
"service_id" : ObjectId("5d766c18791adb12cc607d46"),
"service_name" : "sdfsdf",
"service_type" : "..."
}}}
)
If I understand correctly, you want to update the subdocument whose service_id is ObjectId("5d766c18791adb12cc607d46").
You can do it using the Filtered Positional Operator
db.app_attributes.update(
{"_id" : ObjectId("5d766c18791adb12cc607d49")},
{
$set: {
"environments.$[].services.$[element]": {
"service_id" : ObjectId("5d766c18791adb12cc607d46"),
"service_name" : "Updated Service Name",
"service_type" : "Updated Service Type"
}
}
},
{
arrayFilters: [
{"element.service_id": ObjectId("5d766c18791adb12cc607d46")}
],
multi: true
}
)
I have the below document.
I want to return "employeedata" containing only those array objects (family, academic etc.) for which status is "current"
{
"_id" : ObjectId("5a1fe7ed1e9fdd17285ac13f"),
"createdby" : "admin",
"details" : [
{
"_id" : ObjectId("5a1fe81f1e9fdd17285ac14a"),
"employeedata" : {
"createddate" : "2017-11-30T11:13:57.290Z",
"family" : [
{
"status" : "current",
"_id" : ObjectId("5a1fe81f1e9fdd17285ac153")
}
],
"academic" : [
{
"status" : "archive",
"_id" : ObjectId("5a1fe81f1e9fdd17285ac159")
},
{
"status" : "current",
"_id" : ObjectId("5a1fe8a71e9fdd17285ac15d")
}
],
"company" : [
{
"status" : "archive",
"_id" : ObjectId("5a1fe81f1e9fdd17285ac150")
},
{
"status" : "current",
"_id" : ObjectId("5a1fe88e1e9fdd17285ac15c")
}
],
"other" : [
{
"status" : "current",
"_id" : ObjectId("5a1fe81f1e9fdd17285ac154")
}
]
}
}
]
"confirmed" : true,
}
You can try following to filter the object as it is an complex object we will have to loop through the complete object and modify it at run time.
var data = JSON.parse('{"_id":"5a1fe7ed1e9fdd17285ac13f","createdby":"admin","details":[{"_id":"5a1fe81f1e9fdd17285ac14a","employeedata":{"createddate":"2017-11-30T11:13:57.290Z","family":[{"status":"current","_id":"5a1fe81f1e9fdd17285ac153"}],"academic":[{"status":"archive","_id":"5a1fe81f1e9fdd17285ac159"},{"status":"current","_id":"5a1fe8a71e9fdd17285ac15d"}],"company":[{"status":"archive","_id":"5a1fe81f1e9fdd17285ac150"},{"status":"current","_id":"5a1fe88e1e9fdd17285ac15c"}],"other":[{"status":"current","_id":"5a1fe81f1e9fdd17285ac154"}]}}]}');
function createObject() {
for (var obj in data.details[0].employeedata) {
if (Array.isArray(data.details[0].employeedata[obj])) {
data.details[0].employeedata[obj].filter(function (value, index) {
if (value.status !== 'current') {
//return value;
data.details[0].employeedata[obj].splice(index, 1);
}
})
}
}
}
I need a way to find inside nested array documents.
I want to find value matching inside street_1.
this is my query:
db.phonebook.find({'address.home.street_1' : 'street 1 result'});
and my document:
{
"_id" : ObjectId("53788c0c74d3ead0098b4568"),
"first_name" : "jarod",
"last_name" : "petters",
"company" : "nostromos",
"phone_numbers" : [
{
"cell" : "0752203337"
},
{
"home" : "0850819201"
},
{
"home" : "0499955550"
}
],
"website" : "http://www.mywebsite.com",
"email" : [
{
"home" : "email.first.com"
},
{
"office" : "email.second.com"
}
],
"address" : [
{
"home" : {
"stree_1" : "street 1 result",
"stree_2" : "",
"postal_code" : "66502",
"city" : "my littre city",
"country" : "usa"
}
}
],
"nationality" : "mars",
"date_of_birth" : "1978-01-01"
}
Your query is the good one. But your document is not good, you have done a mistake in your document, you write stree_1 instead of street_1. If your document is right, change your query to :
db.phonebook.find({'address.home.stree_1' : 'street 1 result'});