I'm beginner in mongodb I want to add one object in Array tag. ie:Array of Objects..I'm using $addToSet Operator but it's not working.
I have a collection like this:
{
"_id" : ObjectId("5c231693d1b726c55ec914a3"),
"name" : "Christine Franklin",
"degrees" : [
{
"level" : "Master",
"major" : "Cs",
"completion_year" : "2018",
"faculty" : "AKz"
},
{
"level" : "Bachelor",
"major" : "Biology",
"completion_year" : 2008,
"faculty" : "Science"
}
],
"school_email" : "cfranklin#example.edu",
"email" : "christine#example.com"
}
This is my schema:
const schema=new mongoose.Schema({
name:String,
degrees:[String],
school_email:String,
email:String
});
const GradeDetails=mongoose.model('graduate',schema);
This is my code:
const result=await GradeDetails.update({"name" : "Christine Franklin"},{
$addToSet:{
"degrees":{
"level" : "PG",
"major" : "M.Tech",
"completion_year" : "2018",
"faculty" : "KG"
}}
});
console.log(result);
Thanks in advance... can anyone solve this problem?
Besides the problem with the badly matching types, did you check if you object was updated in the db and just not displayed correctly? If so, please add the flag { new : true } to your update query options. Otherwise, the old object will be returned.
Related
I exported data from a MySQL database into JSON and imported it into MongoDB. The problem:
When I imported clients, MongoDB created its own _id field (I know this is built in functionality, but MySQL used a clientID, autoincrementing integer).
SO, when I imported my appointments collection, the clientID was renamed oldClientID. I'd like the clientID field to be the ObjectID of the corresponding client.
My schemas:
const apptSchema = new mongoose.Schema({
ID: Number,
clientID: {
type: mongoose.Schema.Types.ObjectId,
ref: 'Client'
},
oldClientID: Number,
...other field data
});
const clientSchema = new mongoose.Schema({
ID: Number,
familyID: Number,
first: String,
last: String,
});
Sample Patient Data:
{
"_id" : ObjectId("5d82240f7c8ddd03b62aee6a"),
"ID" : 18,
"familyID" : 6,
"first" : "Jane",
"last" : "Doe"
}
Sample Appointment Data
{
"_id" : ObjectId("5d82c8b95627367d122087f9"),
"ID" : 1885,
"oldPatientID" : 18,
"scheduled" : ISODate("2015-08-05T11:20:00Z"),
"note" : ""
},
{
"_id" : ObjectId("5d82c8b95627367d122088a8"),
"ID" : 2066,
"oldPatientID" : 18,
"scheduled" : ISODate("2015-09-17T16:00:00Z"),
"note" : ""
}
What appointments should look like:
{
"_id" : ObjectId("5d82c8b95627367d122087f9"),
"ID" : 1885,
"clientID": ObjectId("5d82240f7c8ddd03b62aee6a"),
"oldPatientID" : 18,
"scheduled" : ISODate("2015-08-05T11:20:00Z"),
"note" : ""
},
{
"_id" : ObjectId("5d82c8b95627367d122088a8"),
"ID" : 2066,
"clientID" : ObjectId("5d82240f7c8ddd03b62aee6a"),
"oldPatientID" : 18,
"scheduled" : ISODate("2015-09-17T16:00:00Z"),
"note" : ""
}
I am open to learning how to achieve this in the mongo shell or using mongoose in express (or if there is another cool way, like in Robo3T).
MongoDB will always use _id as the primary key, this behavior cannot be overwritten, though you can use the _id with values from your custom id. Though this might be confusing, it is better to use indexing on your custom id, and you don't need to use ObjectId for the custom index field, but can use your own custom id schema, like UUID or an incrementing integer value etc. though it has to be generated/incremented by you or some framework, like JPA
Check Indexes
For Mongoose, you can do;
new mongoose.Schema({
customId: { type: Number, index: true }
...other field data
});
with index: true
Ok, this worked out for me, although I'm sure there has to be an easier way:
db.getCollection("appts").aggregate(
[
{
"$lookup" : {
"from" : "clients",
"localField" : "clientID",
"foreignField" : "ID",
"as" : "CLIENT"
}
},
{
"$lookup" : {
"from" : "appttypes",
"localField" : "type",
"foreignField" : "ID",
"as" : "TYPE"
}
},
{
"$lookup" : {
"from" : "apptstatuses",
"localField" : "status",
"foreignField" : "ID",
"as" : "STATUS"
}
},
{
"$project" : {
"_id" : "$_id",
"clientID" : "$CLIENT._id",
"scheduled" : "$scheduled",
"note" : "$note",
}
},
{
"$out" : "apptslinked"
}
]
);
Then I exported that as JSON, dropped the appts table, and did a mongoimport using that file.
I have documents in which I would like to update the hostUser with one of the members of the document,also have to delete the record from the member document and add the chips of the deleted member in the club chips.
Here is the sample document.
{
"_id" : "1002",
"hostUser" : "1111111111",
"clubChips" : 10000,
"requests" : {},
"profile" : {
"clubname" : "AAAAA",
"image" : "0"
},
"tables" : [
"SJCA3S0Wm"
],
"isDeleted" : false,
"members" : {
"1111111111" : {
"chips" : 0,
"id" : "1111111111"
},
"2222222222" : {
"chips" : 0,
"id" : "2222222222"
}
}
}
This is what I have tried.
db.getCollection('test').updateMany({"hostUser":"1111111111"},
{"$set":{"hostUser":"2222222222"},"$unset":{"members.1111111111":""}})
This is how you would handle unset and set in a single call to updateMany. Can you please clarify what you meant by "check if the values exist in the member field"?
db.getCollection('test').updateMany(
{"hostUser":"1111111111"},
{
'$set': {"hostUser":"2222222222"} ,
'$unset': {"members.1111111111":""}
}
)
I have this array of documents, I would like to put "table" on the same level like mastil_antenas and other variables. how Can I do that with aggregate?
I'm trying with the aggregate $project but I can't get the result.
Example of Data
[ {
"mastil_antena" : "1",
"nro_platf" : "1",
"antmarcmast" : "ANDREW",
"antmodelmast" : "HWXXX6516DSA3M",
"retmarcmast" : "Ericsson",
"retmodelmast" : "ATM200-A20",
"distmast" : "1.50",
"altncramast" : "41.30",
"ORIENTMAG" : "73.00",
"incelecmast" : "RET",
"incmecmast" : "1.00",
"Feedertypemast" : "Fibra Optica",
"longjumpmast" : "5.00",
"longfo" : "100",
"calibrecablefuerza" : "10 mm",
"longcablefuerza" : "65.00",
"modelorruantena" : "32B66A",
"tiltmecfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114934746000.jpg",
"tiltmecfoto_fh" : "2017-10-18T05:51:22Z",
"az0foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115012727000.jpg",
"az0foto_fh" : "2017-10-18T05:55:21Z",
"azneg60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115016199000.jpg",
"azneg60foto_fh" : "2017-10-18T05:55:36Z",
"azpos60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115020147000.jpg",
"azpos60foto_fh" : "2017-10-18T05:55:49Z",
"etiqantenafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114920853000.jpg",
"etiqantenafoto_fh" : "2017-10-18T05:56:01Z",
"tiltelectfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114914236000.jpg",
"tiltelectfoto_fh" : "2017-10-18T05:56:13Z",
"idcablefoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114900279000.jpg",
"idcablefoto_fh" : "2017-10-18T05:56:38Z",
"rrutmafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114947279000.jpg",
"rrutmafoto_fh" : "2017-10-18T05:56:49Z",
"etiquetarrufoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114954648000.jpg",
"etiquetarrufoto_fh" : "2017-10-18T05:57:02Z",
"rrutmafoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114959738000.jpg",
"rrutmafoto1_fh" : "2017-10-18T05:57:12Z",
"etiquetarrufoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115005545000.jpg",
"etiquetarrufoto1_fh" : "2017-10-18T05:57:27Z",
"botontorre4" : "sstelcel3",
"table" : { /* put all varibles one level up*/
"tecmast" : "LTE",
"frecmast" : "2100",
"secmast" : "1",
"untitled440" : "Salir"
},
"comentmast" : "",
"longfeedmast" : "",
"numtmasmast" : "",
"otra_marca_antena" : "",
"otro_modelo_antena" : ""
}]
Starting from MongoDB version 3.4 you could use $addFields to do this.
//replace products with what makes sense in your database
db.getCollection('products').aggregate(
[
{ //1 add the properties from subdocument table to documents
$addFields: {
"documents.tecmast" : "documents.0.table.tecmast",
"documents.frecmast" : "documents.0.table.frecmast",
"documents.secmast" : "documents.0.table.secmast",
"documents.untitled440" : "documents.0.table.untitled440"
}
},
{
//(optional) 2 remove the table property from the documents
$project: {"documents.table" : 0}
}
]
)
Step 1: use $addFields to grab properties from table inside documents.table and put them on documents
Step 2: (optional) remove property "table" from documents.
I hope this helps!!!
I subscribed to my servers's publication as follows:
Template.observedQuestions.onCreated(function(){
var self = this;
self.autorun(function(){
self.subscribe('observedQuestionsFeed');
});
});
Now I need to fetch my data using helper function:
Template.observedQuestions.helpers({
observedQuestionsList : function(){
questions = Questions.find({
observedByUsers : {$exists: true,$elemMatch:{$eq:Meteor.userId()}}});
return questions;
}
});
but it does not work due to $eq being not recognised in minimongo.
How to solve it?
doc sample:
{
"_id" : "rP4JP8jkprwwi3ZCp",
"qUserId" : "NLLW3RBXqnbSGuZ3n",
"type" : "question",
"date" : ISODate("2016-02-13T11:23:10.845Z"),
"subject" : "test",
"question" : "test",
"replies" : [
{
"rID" : "LphcqKnkTHf25SCwq",
"rUserID" : "NLLW3RBXqnbSGuZ3n",
"date" : ISODate("2016-02-13T11:23:10.847Z"),
"answer" : "reply1."
},
{
"rID" : "HxaohnEgxwNJLtf2z",
"rUserID" : "NLLW3RBXqnbSGuZ22",
"date" : ISODate("2016-02-13T11:23:10.848Z"),
"answer" : "reply2"
}
],
"observedByUsers" : [ "Bi24LGozvtihxFrNe" ]
}
Judging from your sample Questions document, the field observedByUsers is a simple array which contains user IDs.
As a result, you could simply use the following query:
Questions.find({observedByUsers: Meteor.userId()});
Does this makes any sense when trying to add a sub-sub-item? (I'm new to mongo - be merciful :-))
question = db.questions.findOne({_id: ObjectId("529c5d44211c9a8c11000006")})
question.answers[0].votes.insert(...)
When I run this from the mongo console the result is an error saying [object object] does not have the method insert.
I have the following mongoDB Question Schema.
{
"__v" : 2,
"_creator" : ObjectId("529c5d2d211c9a8c11000005"),
"_id" : ObjectId("529c5d44211c9a8c11000006"),
"answers" : [
{
"postDate" : ISODate("2013-12-02T10:14:19.060Z"),
"postDateText" : "15min ago",
"authorEmail" : "guys#pix.com",
"authorName" : "guys#pix.com",
"body" : "You need magic powder",
"isWinner" : false,
"_creator" : ObjectId("529c5d2d211c9a8c11000005"),
"_id" : ObjectId("529c5d7b211c9a8c11000008"),
"votes" : [
{
"voteType" : "up",
"_creator" : ObjectId("529c5d2d211c9a8c11000005"),
"_id" : ObjectId("529c5d5b211c9a8c11000007")
}
]
}
],
"authorEmail" : "guys#wix.com",
"authorName" : "guys#wix.com",
"body" : "I'm trying to fly...\n\n<pre class=\"brush: js;\">\nfunction logName(name) {\n console.log(name);\n}\n</pre>",
"isResolved" : false,
"postDate" : ISODate("2013-12-02T10:13:24.235Z"),
"tags" : [
"fly"
],
"title" : "How do I fly?",
"views" : [],
"votes" : [
{
"voteType" : "up",
"_creator" : ObjectId("529c5d2d211c9a8c11000005"),
"_id" : ObjectId("529c5d5b211c9a8c11000007")
}
]
}
I'm trying, given a questionId and an answerId to add a vote to the votes array (which is inside the answer). I can't seem to do it. Help?
insert is for adding whole new documents; when you just want to add a new element to an array field of an existing document, you can use update along with an operator like $push.
So, in the shell you would use something like this:
db.questions.update(
{_id: ObjectId("529c5d44211c9a8c11000006")},
{'answers.0.votes': {$push: voteToPush}})