Mongoose getting specific item in Embedded Document - node.js

I am new in NoSQL and I'm kinda stuck. Can you help me?
Is there any way to get the specific field in an array if it matches a value?
For example, I would like to get the specific item in the array accountGroup where accountGroupName=="Account 1".
I tried many codes but it just returns the whole array which has the item that matches with the value.
By the way, I am using Mongoose and Nodejs. Thanks.
//here is the database
{
"_id" : ObjectId("60d2db4b90c66c3b0832a616"),
"accountType" : "Account Type 1",
"accountGroup" : [
{
"_id" : ObjectId("60d2db5a90c66c3b0832a619"),
"accountGroupName" : "Account 1",
"rangeFrom" : 25,
"rangeTo" : 35
},
{
"_id" : ObjectId("60d3fbfbc1502c3ed8cadf86"),
"accountGroupName" : "Account2",
"rangeFrom" : 850,
"rangeTo" : 2000
},
{
"_id" : ObjectId("60d2ddb1396dbf384898fbad"),
"accountGroupName" : "account 1 sample 3",
"rangeFrom" : 10,
"rangeTo" : 15
}
],
}
{
"_id" : ObjectId("60d2db4e90c66c3b0832a617"),
"accountType" : "Account Type 2",
"accountGroup" : [
{
"_id" : ObjectId("60d2e9586c4fa82310349c7c"),
"accountGroupName" : "account 2 sample 5",
"rangeFrom" : 50,
"rangeTo" : 60
}
]
}

You can use position operator $ into projection like this:
YourModel.find({
"accountGroup.accountGroupName": "Account 1"
},
{
"accountGroup.$": 1
})
Example here
Note that you are getting the whole document because using
YourModel.find({"accountGroup.accountGroupName": "Account 1"})
You are telling mongo "Give me a document where value accountGroupName into accountGroup array is equal to Account 1. And the document who match that condition contains the whole array.
So using positional operator, is waht you need according to its description:
The positional $ operator limits the contents of an to return the first element that matches the query condition on the array.
This is why with one query you get the whole document and with the other one you get the value you want.
Also note $ return only the first subdocument that match the query.

Related

How to modify a field in a nested pymongo dictionary record in python

I have a mongo db with following structure
{
"_id" : ObjectId("5f59c289fb28ab4476d4578b"),
"data" : [
{
"time" : "10-Sep-2020 11:33:22",
"type" : "Med01",
"id":123
"expdate" : "01-Sep-2021",
"in_stock" "Y"
},
{
"time" : "10-Sep-2020 11:33:22",
"type" : "Med06",
"id":125
"expdate" : "10-Sep-2020",
"in_stock" "N"
},
{
"time" : "10-Sep-2020 11:33:22",
"type" : "LOC1",
"id":103
"expdate" : "10-Sep-2023",
"in_stock" "Y"
}
]
}
I would like to update the in_stock field based on the given id, say for example I need to modify the in_stock of medicine with id 103 to N
I tried with below and it is working but I won't be knowing the list number (2) in advance.
update_one({"_id": id_1}, {'$set': {"data.2.in_stock":'N'}})
I have the value 2 in a variable but not sure how to pass that in the above query. Can someone help?
You need to use the $ positional operator. Note this will match on the first matching array element only.
db.mycollection.update_one({'_id': id_1, 'data.id': 103}, {'$set': {"data.$.in_stock":'N'}})

MongoDB + NodeJS: Document failed validation & Data Types behaviour

I am new to MongoDB and NodeJS,
When i try to create the JsonSchema with data types, string, integer, date and bool, it is created but always throwing an error as document validation error while inserting the data, So i changed the bsonType of one data type to number, then it started creating collection records, but the observation is it is storing as Double datatype, I read somewhere in the stackoverflow, that it stores like that only, but my question is why is this behavior? WHY THE ERROR IS NOT BEING THROWN AT THE TIME OF CREATION OF THE JSONSCHEMA but it is throwing at the time of data insertion?
Also, if we have nested objects let us say, Customer object with Address as nested object, the main object's int/number values are stored as Double where as inside the address object's pincode storing as Int32. This is also very confusing. what is the difference between these objects but the structure of the schema is same.
What are the other ways to implement and having proper validated schema for MongoDB.
>
db.getCollectionInfos({name:"companysInt1s1"})
[
{
"name" : "companysInt1s1",
"type" : "collection",
"options" : {
"validator" : {
"$jsonSchema" : {
"bsonType" : "object",
"required" : [
"tin"
],
"properties" : {
"tin" : {
"bsonType" : "int",
"minLength" : 2,
"maxLength" : 11,
"description" : "must be a string and is not required, should be 11 characters length"
}
}
}
}
},
"info" : {
"readOnly" : false,
"uuid" : UUID("27cba650-7bd3-4930-8d3e-7e6cbbf517db")
},
"idIndex" : {
"v" : 2,
"key" : {
"_id" : 1
},
"name" : "_id_",
"ns" : "invoice.companysInt1s1"
}
}
]
> db.companysInt1s1.insertOne({tin:22222})
2019-02-14T15:04:28.712+0530 E QUERY [js] WriteError: Document failed validation :
WriteError({
"index" : 0,
"code" : 121,
"errmsg" : "Document failed validation",
"op" : {
"_id" : ObjectId("5c653624e382c2ec16c16893"),
"tin" : 22222
}
})
WriteError#src/mongo/shell/bulk_api.js:461:48
Bulk/mergeBatchResults#src/mongo/shell/bulk_api.js:841:49
Bulk/executeBatch#src/mongo/shell/bulk_api.js:906:13
Bulk/this.execute#src/mongo/shell/bulk_api.js:1150:21
DBCollection.prototype.insertOne#src/mongo/shell/crud_api.js:252:9
#(shell):1:1
Am i missing something or any other documentation should i be following? Appreciate your guidance...
You need to insert as NumberInt.
when you run this
db.companysInt1s1.insertOne({tin:22222})
you are actually inserting tin as float.
so the correct way to do it is
db.companysInt1s1.insertOne({tin: NumberInt(22222) })

update array in mongoose which matches the condition

my schema looks like
{
qty:{
property1:{
//something
}
property2:[{
size:40,
color:"black",
enabled:"true"
}]
}
}
property 2 is array what i want to do is update those array object whose enabled is true in single query
I tried writing the following query
db.col.update({
"qty.property2.enabled" = "true"
}, {
"qty.property2.color" = "green"
}, callback)
but it is not working
error:
[main] Error: can't have . in field names [qty.pro.size]
db.col.update({"qty.property2.enabled":"true"},{$set: {'qty.property2.$.color': 'green'}}, {multi: true})
this is the way to update element inside array.
equal sign '=' cannot be used inside object
updating array is done using $
Alternative solution for multiple conditions:
db.foo.update({
_id:"i1",
replies: { $elemMatch:{
_id: "s2",
update_password: "abc"
}}
},
{
"$set" : {"replies.$.text" : "blah"}
}
);
Why
So I was looking for similar solution as this question, but in my case I needed array element to match multiple conditions and using currently provided answers resulted in changes to wrong fields.
If you need to match multiple fields, for example let say we have element like this:
{
"_id" : ObjectId("i1"),
"replies": [
{
"_id" : ObjectId("s1"),
"update_password": "abc",
"text": "some stuff"
},
{
"_id" : ObjectId("s2"),
"update_password": "abc",
"text": "some stuff"
}
]
}
Trying to do update by
db.foo.update({
_id:"i1",
"replies._id":"s2",
"replies.update_password": "abc"
},
{
"$set" : {"replies.$.text" : "blah"}
}
);
Would result in updating to field that only matches one condition, for example it would update s1 because it matches update_password condition, which is clearly wrong. I might have did something wrong, but $elemMatch solution solved any problems like that.
Suppose your documet looks like this.
{
"_id" : ObjectId("4f9808648859c65d"),
"array" : [
{"text" : "foo", "value" : 11},
{"text" : "foo", "value" : 22},
{"text" : "foobar", "value" : 33}
]
}
then your query will be
db.foo.update({"array.value" : 22}, {"$set" : {"array.$.text" : "blah"}})
where first curly brackets represents query criteria and second one sets the new value.

All fields search [duplicate]

This question already has answers here:
MongoDB Query Help - query on values of any key in a sub-object
(3 answers)
Closed 6 years ago.
This is my data set, which is part of a bigger json code. I want to write a query, which will match all fields inside the value chain.
Dataset:
"value_chain" : {
"category" : "Source, Make & Deliver",
"hpe_level0" : "gift Chain Planning",
"hpe_level1" : "nodemand to Plan",
"hpe_level2" : "nodemand Planning",
"hpe_level3" : "nodemand Sensing"
},
Example:
If someone searches for "gift", the query should scan through all fields, and if there is a match, return the document.
This is something I tried, but didnt work
db.sw_api.find({
value_chain: { $elemMatch: { "Source, Make & Deliver" } }
})
Sounds like you need to create $text index on all the text fields first since it performs a text search on the content of the fields indexed with a text index:
db.sw_api.createIndex({
"value_chain.category" : "text",
"value_chain.hpe_level0" : "text",
"value_chain.hpe_level1" : "text",
"value_chain.hpe_level2" : "text",
"value_chain.hpe_level3" : "text"
}, { "name": "value_chain_text_idx"});
The index you create is a composite index consisting of 5 columns, and mongo will automatically create the text namespace for you by default if you don't override it. With the above, if you don't specify the index name as
db.sw_api.createIndex({
"value_chain.category" : "text",
"value_chain.hpe_level0" : "text",
"value_chain.hpe_level1" : "text",
"value_chain.hpe_level2" : "text",
"value_chain.hpe_level3" : "text"
});
there is a potential error "ns name is too long (127 byte max)" since the text index will look like this:
"you_db_name.sw_api.$value_chain.category_text_value_chain.hpe_level0_text_value_chain.hpe_level1_text_value_chain.hpe_level2_text_value_chain.hpe_level3_text"
Hence the need to give it a name which is not too long if autogenerated by mongo.
Once the index is created, a db.sw_api.getIndexes() query will show you the indexes present:
/* 1 */
[
{
"v" : 1,
"key" : {
"_id" : 1
},
"name" : "_id_",
"ns" : "dbname.sw_api"
},
{
"v" : 1,
"key" : {
"_fts" : "text",
"_ftsx" : 1
},
"name" : "value_chain_text_idx",
"ns" : "dbname.sw_api",
"weights" : {
"value_chain.category" : 1,
"value_chain.hpe_level0" : 1,
"value_chain.hpe_level1" : 1,
"value_chain.hpe_level2" : 1,
"value_chain.hpe_level3" : 1
},
"default_language" : "english",
"language_override" : "language",
"textIndexVersion" : 3
}
]
Once you create the index, you can then do a $text search:
db.sw_api.find({ "$text": { "$search": "gift" } })

Querying a property that is in a deeply nested array

So I have this document within the course collection
{
"_id" : ObjectId("53580ff62e868947708073a9"),
"startDate" : ISODate("2014-04-23T19:08:32.401Z"),
"scoreId" : ObjectId("531f28fd495c533e5eaeb00b"),
"rewardId" : null,
"type" : "certificationCourse",
"description" : "This is a description",
"name" : "testingAutoSteps1",
"authorId" : ObjectId("532a121e518cf5402d5dc276"),
"steps" : [
{
"name" : "This is a step",
"description" : "This is a description",
"action" : "submitCategory",
"value" : "532368bc2ab8b9182716f339",
"statusId" : ObjectId("5357e26be86f746b68482c8a"),
"_id" : ObjectId("53580ff62e868947708073ac"),
"required" : true,
"quantity" : 1,
"userId" : [
ObjectId("53554b56e3a1e1dc17db903f")
]
},...
And I want to do is create a query that returns all courses that have a specific userId in the userId array that is in the steps array for a specific userId. I've tried using $elemMatch like so
Course.find({
"steps": {
"$elemMatch": {
"userId": {
"$elemMatch": "53554b56e3a1e1dc17db903f"
}
}
}
},
But It seems to be returning a empty document.
I think this will work for you, you have the syntax off a bit plus you need to use ObjectId():
db.Course.find({ steps : { $elemMatch: { userId:ObjectId("53554b56e3a1e1dc17db903f")} } })
The $elemMatch usage is not necessary unless you actually have compound sub-documents in that nested array element. And also is not necessary unless the value being referenced could possibly duplicate in another compound document.
Since this is an ObjectId we are talking about, then it's going to be unique, at least within this array. So just use the "dot-notation" form:
Course.find({
"steps.userId": ObjectId("53554b56e3a1e1dc17db903f")
},
Go back and look at the $elemMatch documentation. In this case, the direct "dot-notation" form is all you need

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