My Data :
I have category , Sub category 1 and sub category 2. I am storing each category by using parent_id. And the following is my data
{
"_id" : ObjectId("000000005e712c388852b550"),
"__v" : 0,
"category" : "ewb",
"created_date" : ISODate("2019-01-09T06:55:57.376Z"),
"parent_id" : null,
"status" : "Y",
"type" : "Column"
}
{
"_id" : ObjectId("000000005e712c388852b551"),
"__v" : 0,
"category" : "wealth",
"created_date" : ISODate("2019-01-09T06:55:57.378Z"),
"parent_id" : ObjectId("000000005e712c388852b550"),
"status" : "Y"
}
{
"_id" : ObjectId("000000005e712c388852b552"),
"__v" : 0,
"category" : "hh economic well-being",
"created_date" : ISODate("2019-01-09T06:55:57.379Z"),
"parent_id" : ObjectId("000000005e712c388852b551"),
"status" : "Y"
}
Now I have to print as
Category : [{
category : 'ewb',
"_id" : ObjectId("000000005e712c388852b550"),
sub_cat1 : [{
category : 'wealth',
"_id" : ObjectId("000000005e712c388852b551"),
sub_cat2 : [{
category : 'hh economic well-being',
"_id" : ObjectId("000000005e712c388852b552"),
}]
}]
}]
Without changing the schema How do I achieve this. I refered SO
Related
I have database like below.
{
"_id" : ObjectId("628bed8298b81711c01b6ab1"),
"status" : true,
"city" : "Kefar Sava",
"request" : [
{
"deadline" : {
"from" : ISODate("2022-05-03T00:00:00.000+0000"),
"to" : ISODate("2022-05-31T00:00:00.000+0000")
},
"ownerId" : "628c424431884d1c140f56bc",
"type" : "Developer",
"name" : "Apollo",
"status" : "posted",
"_id" : ObjectId("628d496d38360a30a4c39ebd"),
},
{
"deadline" : {
"from" : ISODate("2022-05-03T00:00:00.000+0000"),
"to" : ISODate("2022-06-02T00:00:00.000+0000")
},
"ownerId" : "628c424431884d1c140f56bb",
"type" : "Developer",
"name" : "Apollo",
"status" : "posted",
"_id" : ObjectId("628d4a00a4ec7e12a02e74a3"),
},
],
"date" : ISODate("2022-05-23T20:24:34.052+0000"),
"__v" : NumberInt(0),
}
I want to find by ownerId, type, city and set status to canceled.
I use
const owner = await User.findOneAndUpdate(
{$and: [{city: city, "request.ownerId": ownerId, "request.type": type }]},
{$set: {"request.$.status": "canceled"}},
{new: true})
But I can't find by type. When I change order of that(ownerId and type), then I can't find by ownerId.
Please tell me what's wrong with my code.
{
"_id" : ObjectId("6286639f4778d47c7b1b779c"),
"name" : "Ozaca",
"email" : "ozaca#tech.heart",
"password" : "$2b$08$XxjKRpfCYcLTmMh0loBoSOXe4GWDgxGXNJmgdGLLyxhYspkMGxQT2",
"age" : 33,
"tokens" : [
{
"token" : "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJfaWQiOiI2Mjg2NjM5ZjQ3NzhkNDdjN2IxYjc3OWMiLCJpYXQiOjE2NTI5NzQ0OTV9.cvtEcWi7avHHmVSTTiqU4mgPNFY0JRA6U3hNFzxRj1s",
"_id" : ObjectId("6286639f4778d47c7b1b779e")
}
],
"__v" : 1
}
This is the data returned from my aggregation pipeline:
/* 1 */
{
"data" : {
"_id" : ObjectId("5c8266b8d8c9cd7a89babac6"),
"updatedBy" : ObjectId("5c2076d62781881e8764a47a"),
"updatedAt" : ISODate("2019-03-08T13:33:21.659Z"),
"createdBy" : ObjectId("5c2076d62781881e8764a47a"),
"createdAt" : ISODate("2019-03-08T12:57:28.683Z"),
"productName" : "Yellow powder",
"sku" : "563453534",
"upc" : "903453453245",
"__v" : 0,
"brand" : "",
"category" : "yellow category",
"group" : "",
"handle" : "yellow-grey",
"imageUrl" : "",
"inciRawText" : "",
"specialtyText" : ""
}
}
/* 2 */
{
"data" : {
"_id" : ObjectId("5c7692433dcd874313b9fddb"),
"sku" : "TESTSKU9",
"__v" : 0,
"brand" : "test brand",
"category" : "test category",
"createdAt" : ISODate("2019-02-27T13:36:03.027Z"),
"group" : "testgroup",
"handle" : "mewo9",
"imageUrl" : "",
"inciRawText" : "Inci Raw Text. Long memo field",
"productName" : "TEST9PROD",
"publishStatus" : "Unpublished",
"specialtyText" : "* denotes organic",
"upc" : "TESTUPC9",
"updatedAt" : ISODate("2019-02-27T13:36:03.027Z")
}
}
The aggregation pipeline is too big that's why I didn't wanted to add it here. I hope it's ok to omit that part.
Now I want to project this data to something like this using MongoDB Aggregation
{
"_id" : ObjectId("5c8266b8d8c9cd7a89babac6"),
"updatedBy" : ObjectId("5c2076d62781881e8764a47a"),
"updatedAt" : ISODate("2019-03-08T13:33:21.659Z"),
"createdBy" : ObjectId("5c2076d62781881e8764a47a"),
"createdAt" : ISODate("2019-03-08T12:57:28.683Z"),
"productName" : "Yellow powder",
"sku" : "563453534",
"upc" : "903453453245",
"__v" : 0,
"brand" : "",
"category" : "yellow category",
"group" : "",
"handle" : "yellow-grey",
"imageUrl" : "",
"inciRawText" : "",
"specialtyText" : ""
}, {
"_id" : ObjectId("5c7692433dcd874313b9fddb"),
"sku" : "TESTSKU9",
"__v" : 0,
"brand" : "test brand",
"category" : "test category",
"createdAt" : ISODate("2019-02-27T13:36:03.027Z"),
"group" : "testgroup",
"handle" : "mewo9",
"imageUrl" : "",
"inciRawText" : "Inci Raw Text. Long memo field",
"productName" : "TEST9PROD",
"publishStatus" : "Unpublished",
"specialtyText" : "* denotes organic",
"upc" : "TESTUPC9",
"updatedAt" : ISODate("2019-02-27T13:36:03.027Z")
}
I'm sure there must be a method to do it, I'm trying to do it using $map operator, but still unable to get it done.
Can anyone please suggest me some solutions?
You can achieve that using $replaceRoot aggregation operator
db.produce.aggregate( [
{
$replaceRoot: { newRoot: "$data" }
}
] )
Hello i have proble searching sub document by text, i have been doing it right with query $text: {$search: "string"}, but it returns the whole document include the parent
this is my collection looks like
{
"_id" : ObjectId("56b06b7fe61af1081ceea185"),
"accountName" : "Agnes",
"address" : {
"street" : "jl. A.Yani no 23",
"city" : "Jakarta",
"province" : "DKI Jakarta",
"country" : "indonesia",
"postalCode" : "61382"
},
"__v" : NumberInt(1),
"products" : [
{
"title" : "Ayam goreng kremes",
"ingredients" : "Daging ayam, tepung terigu, bawang merah, sasa",
"description" : "",
"price" : "15000",
"_id" : ObjectId("56c191bd3da50ccc149717a5"),
"updatedAt" : ISODate("2016-02-15T08:52:13.465+0000"),
"createdAt" : ISODate("2016-02-15T08:52:13.465+0000"),
"showCounter" : NumberInt(0),
"featured" : false
},
{
"title" : "Sate Maranggi",
"ingredients" : "Daging sapi, kecap, cabai, bawang merah, bawang putih",
"description" : "Sate maranggi enak dan lezat",
"price" : "15000",
"_id" : ObjectId("56b06eae492acbbc1fd070e9"),
"pickOfTheDay" : false,
"sold" : NumberInt(0),
"featured" : true
}
]
}
{
"_id" : ObjectId("56c190203da50ccc149717a3"),
"accountName" : "acha",
"address" : {
"street" : "jl. Sudirman no 23",
"city" : "Bogor",
"province" : "Jawa Barat",
"country" : "indonesia",
"postalCode" : "61382"
},
"__v" : NumberInt(1)
"products" : [
{
"title" : "Pecel lele",
"ingredients" : "Lele, bawang merah, bawang putih, sasa, ketumbar, kemiri",
"description" : "",
"price" : "15000",
"_id" : ObjectId("56c192aa3da50ccc149717a9"),
"updatedAt" : ISODate("2016-02-15T08:56:10.716+0000"),
"createdAt" : ISODate("2016-02-15T08:56:10.716+0000"),
"showCounter" : NumberInt(0),
"featured" : false
}
]
}
and this is my search query
model.find({ $text: { $search: "Sate" } }).exec(function(err, docs){
if (err){
res.send(err);
}else{
res.send(docs);
}
and what i need is the sub document that matches the string "Sate" and the parent id if its possible.
maybe it looks like this
{
"parentID": ObjectId("56b06b7fe61af1081ceea185"),
"title" : "Sate Maranggi",
"ingredients" : "Daging sapi, kecap, cabai, bawang merah, bawang putih",
"description" : "Sate maranggi enak dan lezat",
"price" : "15000",
"_id" : ObjectId("56b06eae492acbbc1fd070e9"),
"pickOfTheDay" : false,
"sold" : NumberInt(0),
"featured" : true
}
This is my mongodb document.
"_id" : ObjectId("5123731f2763c9682a000001"),
"created_on" : ISODate("2013-02-19T12:42:07.835Z"),
"currentLogin" : ISODate("2013-02-22T06:03:25.603Z"),
"email" : "xxx#test.com",
"extraPhotos" : 0,
"reqmail" : [ ],
"isActivated" : true,
"lastLogin" : ISODate("2013-02-20T05:42:15.359Z"),
"linkedAccounts" : [
{
"birthday" : "11/01/1984",
"email" : "testingxxx234#gmail.com",
"expiresIn" : "5184000",
"expiryMailNotifFlag" : -1,
"extraPhotos" : 0,
"fetchFromDate" : null,
"fetchOrder" : "oldest",
"fetchUntilDate" : "04/11/2014",
"locale" : "en_US",
"optIn" : true,
"timezone" : "5.5",
"userID" : "100000207309657"
}
],
"maxLinkedAccounts" : 4,
"name" : "venu wale",
"notifications" : [
{
"_id" : ObjectId("51275fb7389b85f222000001"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:08:23.419Z")
},
{
"_id" : ObjectId("51275fe8389b85f222000002"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:09:12.385Z")
},
{
"_id" : ObjectId("51276020389b85f222000003"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:10:08.275Z")
},
{
"_id" : ObjectId("5127605d389b85f222000004"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:11:09.946Z")
},
{
"_id" : ObjectId("51276097389b85f222000005"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:12:07.384Z")
},
{
"_id" : ObjectId("512760d2389b85f222000006"),
"type" : "limitUsed",
"message" : "Account limit is used",
"accID" : "100000207309657",
"date" : ISODate("2013-02-22T12:13:06.933Z")
}
],
"password" : "638cfc167e8431c01227e4f113ec9427821b12493ed6fd3",
"phone" : "5555555555",
"photo_updated_time" : 1361341819,
"photosProcessed" : 15,
"photosToProcess" : 400,
"plan" : {
"type" : "photoOnly"
},
"salt" : "af8ab2f5866642f03d31aa3f4a24e25e287bedc7",
"updated_on" : ISODate("2013-02-19T12:42:07.835Z")
I Want to delete any one object from notifications array. I am using this query.
db.users.update({phone:'5555555555'},{$unset:{notifications:{$elemMatch:{_id:ObjectId('51276020389b85f222000003')}}}})
But its not working.
You only need to pull this element from the notifications array:
db.collection.update({phone:"5555555555"},{$pull:{notifications: {_id:ObjectId("51276020389b85f222000003")}}})
Using pull, you can remove all elements that match your inner query. The next $pull
{$pull:{ notifications: {type: "limitUsed"}}}
will remove all notifications of type "limitUsed".