I am the beginner of the MongoDB
Here I mentioned my database schema
{
"_id" : ObjectId("5e72067973c1241068a13647"),
"client_id" : "1001",
"dependent" : [
{
"dependent_name" : "asdsa",
"dependent_id" : "DE100"
},
{
"dependent_name" : "fdggd",
"dependent_id" : "DE101"
}
]
}
I want to add new field based on client_id and dependent_id
Here I mentioned My query but cannot able to get my expected result
db.collection.update({"client_id" : "1001","dependent.dependent_id":"DE101"}, {"$push": {"reason":"expired"}})
I am Expected Result is
{
"_id" : ObjectId("5e72067973c1241068a13647"),
"client_id" : "1001",
"dependent" : [
{
"dependent_name" : "asdsa",
"dependent_id" : "DE100"
},
{
"dependent_name" : "fdggd",
"dependent_id" : "DE101",
"reason":"expired"
}
]
}
so anyone help me to solve this
db.collection.update({"client_id" : "1001","dependent.dependent_id":"DE101"},
{$set:
{"dependent.$.reason":"expired"}})
Try this it works for me using $
As i am also new to mongodb, as i tried, i can give you suggestion to update whole document or replace it.
both way i tried, and query is as below.
Update
db.updateColl.update({ 'dependent.dependent_id': 'DE101' },
{
$set: {
"dependent": [
{
"dependent_name": "asdsa",
"dependent_id": "DE100"
},
{
"dependent_name": "fdggd",
"dependent_id": "DE101",
"reason": "expired"
}
]
}
});
Replace
db.updateColl.replaceOne({ 'dependent.dependent_id': 'DE101' }, {
"dependent": [
{
"dependent_name": "asdsa",
"dependent_id": "DE100"
},
{
"dependent_name": "fdggd",
"dependent_id": "DE101",
"reason": "expired"
}
]
})
may be it can help you. if any suggestion regarding it wellcome.
Related
I have been trying to update an Object for this collection. Below is the collection. Looking for Server 3.6 version.
Here The ask is Need to update the class name from "HISTORY" to " HISTORY_NEW". Need to do, for some students in the class. Need a query that will select all student records in student collection with "HISTORY" class in it and update them to "HISTORY_NEW ". I have around 30,000 records and not getting a bulk update method.
{
"_id" : ObjectId("611f90aa43f77a728879c395"),
"studentId" : "stu1",
"classes" : {
"History" : {
"TeacherName" : "T1",
"Marks" : [
{
"Internal": 15
}
]
},
"Geography" : {
"TeacherName" : "T2",
"Marks" : [
{
"Internal" : 20
}
]
}
},
"updateDate" : ISODate("2021-10-12T11:40:47.156Z")
}
This is the result I am expecting
{
"_id" : ObjectId("611f90aa43f77a728879c395"),
"studentId" : "stu1",
"classes" : {
"HISTORY_NEW" : {
"TeacherName" : "T1",
"Marks" : [
{
"Internal": 15
}
]
},
"Geography" : {
"TeacherName" : "T2",
"Marks" : [
{
"Internal" : 20
}
]
}
},
"updateDate" : ISODate("2021-10-12T11:40:47.156Z")
}
.Or is that even possible with the kind of collection above or going via code route?
So far this is what I have, without any success.
Get all students' Ids and then update the Class name. But that is also not working and don't think it is smart to update DB 30,000 times.
var studentIds =[];
db.studentSubject.find({"classes.History":{$exists:true}})
.forEach(function(u) { studentIds.push(u.studentId) })
studentIds.forEach(function(studentId) {
var result;
try {
result =db.studentSubject.updateOne(
{studentId:studentId},
{ $set : {"classes.History": "HISTORY_NEW",}},
{ upsert: false});
} catch (e) {
print(e);
}
});
From your scenario, you need $rename operator.
As discussed in the comment, you don't need to fetch each document to get studentId and then pass it to update each document. Just bulk update by checking the document has classes.History field.
db.collection.update({
"classes.History": {
$exists: true
}
},
{
$rename: {
"classes.History": "classes.HISTORY_NEW"
}
},
{
upsert: false,
multi: true
})
Sample Mongo Playground
I have a Meteor Mongo document as shown below
{
"_id" : "zFndWBZTvZPgSKXHP",
"activityId" : "aRDABihAYFoAW7jbC",
"activityTitle" : "Test Mongo Document",
"users" : [
{
"id" : "b1#gmail.com",
"type" : "free"
},
{
"id" : "JqKvymryNaCjjKrAR",
"type" : "free"
},
],
}
I want to update a specific array element's email with custom generated id using Meteor query something like the below.
for instance, I want to update the document
if 'users.id' == "b1#gmail.com" then update it to users.id = 'SomeIDXXX'
So updated document should looks like below.
{
"_id" : "zFndWBZTvZPgSKXHP",
"activityId" : "aRDABihAYFoAW7jbC",
"activityTitle" : "Test Mongo Document",
"users" : [
{
"id" : "SomeIDXXX",
"type" : "free"
},
{
"id" : "JqKvymryNaCjjKrAR",
"type" : "free"
},
],
}
I have tried the below but didnt work.
Divisions.update(
{ activityId: activityId, "users.id": emailId },
{ $set: { "users": { id: _id } } }
);
Can someone help me with the relevant Meteor query ? Thanks !
Your query is actually almost right except for a small part where we want to identify the element to be updated by its index.
Divisions.update({
"activityId": "aRDABihAYFoAW7jbC",
"users.id": "b1#gmail.com"
}, {
$set: {"users.$.id": "b2#gmail.com"}
})
You might need the arrayFilters option.
Divisions.update(
{ activityId: activityId },
{ $set: { "users.$[elem].id": "SomeIDXXX" } },
{ arrayFilters: [ { "elem.id": "b1#gmail.com" } ], multi: true }
);
https://docs.mongodb.com/manual/reference/operator/update/positional-filtered/
You need to use the $push operator instead of $set.
{ $push: { <field1>: <value1>, ... } }
Below the data structure of my services in MongoDB:
"serviceInfo" : {
"title" : "Lorem ipsum",
"options" : [
{
"startDate" : ISODate("2018-10-01T00:00:00.000Z"),
"endDate" : ISODate("2018-10-31T00:00:00.000Z"),
"availabilities" : [
{
"businessDay" : {
"id" : 1,
"name" : "Monday"
},
}
]
}
]
Now, I want to query all the services available the Monday during the period between startDate and endDate.
I tried this code but I have an empty array as result instead of my document.
db.collection('services').find({
'serviceInfo.options': {
$elemMatch: {
'startDate': { $lte: new Date(req.query.date) },
'endDate': { $gte: new Date(req.query.date) },
'availabilities': {
$elemMatch: {
'businessDay.id': req.query.day
}
}
}
}
}).toArray()
I guess my problem is in the nested array availabilities but I don't find the correct way to do the query.
Thanks in advance for your help.
I found my problem.
'businessDay.id' expected an Int32 and parseInt(req.query.day) did the trick.
I have face one use with mongodb.
below is my sample record.
{
"_id" : ObjectId("56fa21da0be9b4e3328b4567"),
"us_u_id" : "1459169911J4gPxpYQ7A",
"us_dealer_u_id" : "1459169911J4gPxpYQ7A",
"us_corporate_dealer_u_id" : "1459169173rgSdxVeMLa",
"us_oem_u_id" : "1459169848CK5yOpXito",
"us_part_number" : "E200026",
"us_sup_part_number" : "",
"us_alter_part_number" : "",
"us_qty" : 0,
"us_sale_qty" : 2,
"us_date" : "20160326",
"us_source_name" : "BOMAG",
"us_source_address" : "",
"us_source_city" : "",
"us_source_state" : "",
"us_zip_code" : "",
"us_alternet_source_code" : "",
"updated_at" : ISODate("2016-03-29T06:34:02.728Z"),
"created_at" : ISODate("2016-03-29T06:34:02.728Z")
}
I have try to get all recored having unique date
So, I have made below query using aggregate
.aggregate(
[
{
"$match":{
"yearSubstring":"2016",
"monthSubstring":"03",
"us_dealer_u_id":"1459169911J4gPxpYQ7A"
}
},
{
"$project":
{
"yearSubstring":{"$substr":["$us_date",0,4]},
"monthSubstring":{"$substr":["$us_date",4,2]},
"daySubstring":{"$substr":["$us_date",6,2]}
}
},
{
"$group":
{
"_id":{"monthSubstring":"$monthSubstring",
"yearSubstring":"$yearSubstring",
"daySubstring":"$daySubstring"
},
"daySubstring":{"$last":"$daySubstring"}
}
},
{"$sort":{"us_date":1}}
]
)
I have try both way to pass year and month (as string and as int)
but I have get blank result.
if I'm remove month and year from condition then record came.
mostly I have try all the diff. diff. solution but result is same.
Thank in advance.
You have written incorrect query.
You don't have yearSubstring and monthSubstring fields on this stage.
{
"$match":{
"yearSubstring":"2016",
"monthSubstring":"03",
"us_dealer_u_id":"1459169911J4gPxpYQ7A"
}
},
You should write as following:
.aggregate(
[
{
"$match":{
"us_dealer_u_id":"1459169911J4gPxpYQ7A"
}
},
{
"$project":
{
"yearSubstring":{"$substr":["$us_date",0,4]},
"monthSubstring":{"$substr":["$us_date",4,2]},
"daySubstring":{"$substr":["$us_date",6,2]}
}
},
{
"$match":{
"yearSubstring":"2016",
"monthSubstring":"03"
}
},
{
"$group":
{
"_id":{"monthSubstring":"$monthSubstring",
"yearSubstring":"$yearSubstring",
"daySubstring":"$daySubstring"
},
"daySubstring":{"$last":"$daySubstring"}
}
},
{"$sort":{"us_date":1}}
]
)
If you want to get other fields, you should include them into projection stage.
I have the next document in a collection:
{
"_id" : ObjectId("546a7a0f44aee82db8469f6d"),
...
"valoresVariablesIterativas" : [
{
"asignaturaVO" : {
"_id" : ObjectId("546a389c44aee54fc83112e9")
},
"valoresEstaticos" : {
"IT_VAR3" : "",
"IT_VAR1" : "",
"IT_VAR2" : "asdasd"
},
"valoresPreestablecidos" : {
"IT_ASIGNATURA" : "Matemáticas",
"IT_NOTA_DEFINITIVA_ASIGNATURA" : ""
}
},
{
"asignaturaVO" : {
"_id" : ObjectId("546a3d8d44aee54fc83112fa")
},
"valoresEstaticos" : {
"IT_VAR3" : "",
"IT_VAR1" : "",
"IT_VAR2" : ""
},
"valoresPreestablecidos" : {
"IT_ASIGNATURA" : "Español",
"IT_NOTA_DEFINITIVA_ASIGNATURA" : ""
}
}
]
...
}
I want modify an element of the valoresEstaticos, I know the fields "_id", "asignaturaVO", and the key of the item valoresEstaticos that I want modify.
Which is the correct query for this?, I have this:
db.myCollection.findAndModify({
query:{"_id" : ObjectId("546a7a0f44aee82db8469f6d")},
update: {
{valoresVariablesIterativas.asignaturaVO._id: ObjectId("546a389c44aee54fc83112e9")},
{ $set: {}}
}
})
but I dont know how to build a query :(
Help me please, Thank you very much!
You can just use update.
db.myCollection.update(
{ "_id" : ObjectId("546a7a0f44aee82db8469f6d"), "valoresVariablesIterativas.asignaturaVO._id" : ObjectId("546a389c44aee54fc83112e9") },
{ "$set" : { "valoresVariablesIterativas.$.valoresEstaticos.IT_VAR3" : 99 } }
)
assuming you want to update key IT_VAR3. The key is the positional update operator $. The condition on the array in the query portion of the update is redundant for finding the document, but necessary to use the $ to update the correct array element.