I have a document like this
{
"_id" : ObjectId("6228cd8e72e74fa2a4bbd76c"),
"userId" : 8426,
"answer" : "https://cdn.upgrad.com/resumejyotiranjana.docx",
"updatedAt" : ISODate("2022-06-09T13:48:17.296Z"),
"questionIdentifier" : "resumeLink",
}
I need to convert answer into array of objects, The existing answer will become resumeLink properties and updatedAT will become dateUploaded in object.
{
"_id" : ObjectId("6228cd8e72e74fa2a4bbd76c"),
"userId" : 8426,
"answer" : [
{
"resumeLink":"https://cdn.upgrad.com/resume/asasjyotiranjana11.docx",
"dateUploaded": "2022-06-09T13:48:17.296Z",
"resumeId": "7fa1478d-478f-4869-9c4b-7ca8c0b9434g",
"source": "hiration"
}
],
"updatedAt" : ISODate("2022-06-09T13:48:17.296Z"),
"questionIdentifier" : "resumeLink",
}
Whats the quick way to achieve this with mongo query? thanks in advance
Use aggregation query as below.
You may need to add some fields in that.
const agg = [
{
'$match': {
'userId': 8426
}
}, {
'$group': {
'_id': '$userId',
'answers': {
'$addToSet': {
'recordId': '$_id',
'resumeLink': '$answer'
}
}
}
}
];
Below mongo query worked:
db.getCollection('userfeedback').updateMany(
{userId:8426, questionIdentifier:"resumeLink"},
[{
"$set": {
answer: [{
"resumeLink": "$answer",
"resumeId": UUID().hex().match(/^(.{8})(.{4})(.{4})(.{4})(.{12})$/).slice(1,6).join('-'),
"uploadSizeInByte": -1,
"source":"manual",
"dateUploaded": "$updatedAt"
}]
}
}]
)
Related
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.
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>, ... } }
I have the following data (Cars):
[
{
"make" : “Ferrari”,
"model" : “F40",
"services" : [
{
"type" : "FULL",
“date_time" : ISODate("2019-10-31T09:00:00.000Z"),
},
{
"type" : "FULL",
"scheduled_date_time" : ISODate("2019-11-04T09:00:00.000Z"),
}
],
},
{
"make" : "BMW",
"model" : “M3",
"services" : [
{
"type" : "FULL",
"scheduled_date_time" : ISODate("2019-10-31T09:00:00.000Z"),
},
{
"type" : "FULL",
“scheduled_date_time" : ISODate("2019-11-04T09:00:00.000Z"),
}
],
}
]
Using Spring data MongoDb I would like a query to retrieve all the Cars where the scheduled_date_time of the last item in the services array is in-between a certain date range.
A query which I used previously when using the first item in the services array is like:
mongoTemplate.find(Query.query(
where("services.0.scheduled_date_time").gte(fromDate)
.andOperator(
where("services.0.scheduled_date_time").lt(toDate))),
Car.class);
Note the 0 index since it's first one as opposed to the last one (for my current requirement).
I thought using an aggregate along with a projection and .arrayElementAt(-1) would do the trick but I haven't quite got it to work. My current effort is:
Aggregation agg = newAggregation(
project().and("services").arrayElementAt(-1).as("currentService"),
match(where("currentService.scheduled_date_time").gte(fromDate)
.andOperator(where("currentService.scheduled_date_time").lt(toDate)))
);
AggregationResults<Car> results = mongoTemplate.aggregate(agg, Car.class, Car.class);
return results.getMappedResults();
Any help suggestions appreciated.
Thanks,
This mongo aggregation retrieves all the Cars where the scheduled_date_time of the last item in the services array is in-between a specific date range.
[{
$addFields: {
last: {
$arrayElemAt: [
'$services',
-1
]
}
}
}, {
$match: {
'last.scheduled_date_time': {
$gte: ISODate('2019-10-26T04:06:27.307Z'),
$lt: ISODate('2019-12-15T04:06:27.319Z')
}
}
}]
I was trying to write it in spring-data-mongodb without luck.
They do not support $addFields yet, see here.
Since version 2.2.0 RELEASE spring-data-mongodb includes the Aggregation Repository Methods
The above query should be
interface CarRepository extends MongoRepository<Car, String> {
#Aggregation(pipeline = {
"{ $addFields : { last:{ $arrayElemAt: [$services,-1] }} }",
"{ $match: { 'last.scheduled_date_time' : { $gte : '$?0', $lt: '$?1' } } }"
})
List<Car> getCarsWithLastServiceDateBetween(LocalDateTime start, LocalDateTime end);
}
This method logs this query
[{ "$addFields" : { "last" : { "$arrayElemAt" : ["$services", -1]}}}, { "$match" : { "last.scheduled_date_time" : { "$gte" : "$2019-11-03T03:00:00Z", "$lt" : "$2019-11-05T03:00:00Z"}}}]
The date parameters are not parsing correctly. I didn't spend much time making it work.
If you want the Car Ids this could work.
public List<String> getCarsIdWithServicesDateBetween(LocalDateTime start, LocalDateTime end) {
return template.aggregate(newAggregation(
unwind("services"),
group("id").last("services.date").as("date"),
match(where("date").gte(start).lt(end))
), Car.class, Car.class)
.getMappedResults().stream()
.map(Car::getId)
.collect(Collectors.toList());
}
Query Log
[{ "$unwind" : "$services"}, { "$group" : { "_id" : "$_id", "date" : { "$last" : "$services.scheduled_date_time"}}}, { "$match" : { "date" : { "$gte" : { "$date" : 1572750000000}, "$lt" : { "$date" : 1572922800000}}}}]
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.