I am having a collection orders , inside collection I am having attributes Array , I want to group the records on attributes.value where attributes.name is "sugery"
db.orders.find({},{"attributes":1}).sort({_id:-1}).limit(3);
{
"_id" : ObjectId("599cfdb0f6ec8d00015b0880"),
"attributes" : [
{
"id" : ObjectId("5979a220ad86210001997d5a"),
"name" : "patient",
"status" : NumberInt(1),
"sysDefined" : NumberInt(1),
"value" : "Lincon Burrows"
},
{
"id" : ObjectId("5979a229ad86210001997d5c"),
"name" : "notes",
"status" : NumberInt(1),
"sysDefined" : NumberInt(1),
"value" : ""
},
{
"id" : ObjectId("5979a230ad86210001997d5e"),
"name" : "surgeon",
"status" : NumberInt(1),
"sysDefined" : NumberInt(1),
"value" : "Dr. Williams"
},
{
"id" : ObjectId("5979a238ad86210001997d60"),
"name" : "surgery",
"status" : NumberInt(1),
"sysDefined" : NumberInt(1),
"value" : "Heart Surgery"
}
]
}
{
"_id" : ObjectId("599c357a9ec26c00017892a6"),
"attributes" : [
{
"value" : "new patient",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "patient",
"id" : ObjectId("5979a220ad86210001997d5a")
},
{
"value" : "",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "notes",
"id" : ObjectId("5979a229ad86210001997d5c")
},
{
"value" : "http://localhost:4200/#new surgeon",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "surgeon",
"id" : ObjectId("5979a230ad86210001997d5e")
},
{
"value" : "new surgery",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "surgery",
"id" : ObjectId("5979a238ad86210001997d60")
}
]
}
{
"_id" : ObjectId("599c2069b2afd900019ea142"),
"attributes" : [
{
"value" : "Mellisa Darwin",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "patient",
"id" : ObjectId("5979a220ad86210001997d5a")
},
{
"value" : "",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "notes",
"id" : ObjectId("5979a229ad86210001997d5c")
},
{
"value" : "Dr. Josefina P. Robles",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "surgeon",
"id" : ObjectId("5979a230ad86210001997d5e")
},
{
"value" : "Spine Surgery",
"sysDefined" : NumberInt(1),
"status" : NumberInt(1),
"name" : "surgery",
"id" : ObjectId("5979a238ad86210001997d60")
}
]
}
I want output like
[
{
"_id":"Heart Surgery",
"count":1
},
{
"_id":"new surgery",
"count":1
},
{
"_id":"Spine Surgery",
"count":1
}
]
Try this :
orders.aggregate({"attributes":1}, {$unwind:"$attributes"},{$match:{"attributes.name":"surgery"}})
please see mongodb documentation for group. db.collection.group()
The following are examples of the db.collection.group() method. The examples assume an orders collection with documents of the following prototype:
{
_id: ObjectId("5085a95c8fada716c89d0021"),
ord_dt: ISODate("2012-07-01T04:00:00Z"),
ship_dt: ISODate("2012-07-02T04:00:00Z"),
item: {
sku: "abc123",
price: 1.99,
uom: "pcs",
qty: 25
}
}
Group by Two Fields
The following example groups by the ord_dt and item.sku fields those documents that have ord_dt greater than 01/01/2012:
db.runCommand({
group:
{
ns: 'orders',
key: { ord_dt: 1, 'item.sku': 1 },
cond: { ord_dt: { $gt: new Date( '01/01/2012' ) } },
$reduce: function ( curr, result ) { },
initial: { }
}
})
Related
{
"_id" : ObjectId("6128c6c54859a6c1579f98ad"),
"classByIngredient" : "",
"cuisineStyle" : "Indian - North",
"dietPreference" : "Vegetarian",
"dishClass" : "Staple",
"dishName" : "Aloo Gobi Paratha",
"dishVariation" : "Aloo Gobi Paratha with ghee",
"dishNameLower" : "aloo gobi paratha",
"dishVariationLower" : "aloo gobi paratha with ghee",
"sizes" : [
{
"name" : "Piece",
"calories" : {
"value" : "164.0",
"unit" : "kcal"
},
"carbs" : {
"value" : "29.0",
"unit" : "gms"
},
"fat" : {
"value" : "2.9",
"unit" : "gms"
},
"fibre" : {
"value" : "0",
"unit" : "gms"
},
"iron" : {
"value" : "0.0",
"unit" : "mg"
},
"protein" : {
"value" : "4.6",
"unit" : "gms"
},
"rawWeight" : "",
"sodium" : {
"value" : "0",
"unit" : "mg"
},
"sugars" : {
"value" : "0",
"unit" : "gms"
},
"calcium" : {
"value" : "0.0",
"unit" : "mg"
},
"cookedWeight" : "100 gms",
"measurement" : "https://smit-diet-measurement.s3.amazonaws.com/Piece.png",
"type" : "ingredient"
}
],
"enable" : "true",
"householdMeasure" : "Piece",
"createdAt" : ISODate("2021-08-27T11:04:36.212Z"),
"verified" : true,
"updatedAt" : ISODate("2021-08-27T11:04:36.212Z"),
"_class" : "com.diet.library.dto.DietLibrary"
}
I need help with following thing in MongoDB, what I'm trying to do is to get only marks in reviews into it's own array of values only.
Code i got so far:
db.lodging.aggregate([
{$project:{
reviews:"$host.reviews",host:"$host"
}
},
{$unwind: "$reviews"},
])
JSON Example:
"host" : {
"name" : "Grimes",
"surname" : "Terrell",
"gender" : "male",
"age" : NumberInt(55),
"picture" : "https://api.adorable.io/avatars/285/GrimesTerrell.png",
"reviews" : [
{
"reviewer" : "Mae Ryan",
"date" : "2015-06-01T02:41:46 -02:00",
"helpful" : NumberInt(8),
"kind" : NumberInt(1),
"responsive" : NumberInt(5)
},
{
"reviewer" : "Nixon Johnson",
"date" : "2016-02-08T10:35:12 -01:00",
"helpful" : NumberInt(1),
"kind" : NumberInt(1),
"responsive" : NumberInt(9)
},
]
}
This is what im trying to achieve:
{
"host" : {
"name" : "Grimes",
"surname" : "Terrell",
"gender" : "male",
"age" : NumberInt(55),
"picture" : "https://api.adorable.io/avatars/285/GrimesTerrell.png",
"reviews" : [
{
"marks" : [8,1,5],
},
{
"marks" : [1,1,9],
},
]
}
Assuming your marks' field names are always helpful, kind, responsive, you can use $map.
Here is a mongo playground for you reference
I am trying to do a transformation from one data structure to another and am using NoSQL Booster as I feel more comfortable using SQL queries than I do using Mongo script, a little lazy but its worked for me thus far.
I have a document which has a an array of line items which represents a sales receipt. The line items are the items sold.
I have used the following SQL query to generate Mongo script to select and then rename values from one document to create another. Where I'm stuck is in selecting from an array some fields and renaming them into a new document within a new array.
mb.runSQLQuery(`
SELECT object_origin,
party_uuid AS company,
connection_uuid AS connection,
object_created AS object_creation_date,
"object_raw_origin_data.register_sales.sale_date" AS transaction_date,
"object_raw_origin_data.register_sales.total_price"
+ "object_raw_origin_data.register_sales.total_tax" AS transaction_gross_value,
"object_raw_origin_data.register_sales.total_price" AS transaction_net_value,
'goods-service-transaction' AS object_class,
'point-of-sale' AS object_origin_category,
'offline' AS object_origin_type,
object_origin AS object_origin,
"object_raw_origin_data.register_sales.invoice_number" AS transaction_reference,
"object_raw_origin_data.register_sales.status" AS transaction_status,
'GBP' AS transaction_currency,
"object_raw_origin_data.register_sales.sale_products.name" AS 'line_items.item_name'
FROM Vend_raw_transactions
`)
The query above works all except the last line which creates an object in the document called line_items but it isn't an array. The source is also an array.
Below is the Mongo script it creates for me:
db.Vend_raw_transactions.aggregate(
[{
"$project": {
"object_origin": "$object_origin",
"company": "$party_uuid",
"connection": "$connection_uuid",
"object_creation_date": "$object_created",
"transaction_date": "$object_raw_origin_data.register_sales.sale_date",
"transaction_gross_value": {
"$add": [
"$object_raw_origin_data.register_sales.total_price",
"$object_raw_origin_data.register_sales.total_tax"
]
},
"transaction_net_value":
"$object_raw_origin_data.register_sales.total_price",
"object_class": "goods-service-transaction",
"object_origin_category": "point-of-sale",
"object_origin_type": "offline",
"transaction_reference":
"$object_raw_origin_data.register_sales.invoice_number",
"transaction_status": "$object_raw_origin_data.register_sales.status",
"transaction_currency": "GBP",
"line_items.item_name":
"$object_raw_origin_data.register_sales.sale_products.name"
}
}])
Does anyone know why the last line isn't working for me?
"line_items.item_name": "$object_raw_origin_data.register_sales.sale_products.name"
I'm pretty sure I'm missing an [*] somewhere. Thanks, Matt
EDITED TO ADD example of Vend Transaction
{
"object_category" : "application",
"object_type" : "register-sales-24-months",
"object_origin" : "vend",
"tenant_uuid" : "00000000-0000-0009-9999-999999999999",
"party_uuid" : "8d519765-05d2-469f-ad35-d7a22fa9df2f",
"subscription_uuid" : "0",
"connection_uuid" : "6ed9bd79-d9c5-4296-a821-7e15b1c69e6c",
"status" : "",
"object_created" : ISODate("2018-03-15T21:40:57.158+0000"),
"object_raw_origin_data" : {
"pagination" : {
"results" : NumberInt(75964),
"page" : NumberInt(1),
"page_size" : NumberInt(200),
"pages" : NumberInt(380)
},
"register_sales" : {
"id" : "776a66f2-993c-b372-11e8-26f9bbe253f4",
"source" : "USER",
"source_id" : "",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"market_id" : "3",
"customer_id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"customer_name" : "",
"customer" : {
"id" : "02d59481-b67d-11e5-f667-b08185e8f6d5",
"name" : "",
"customer_code" : "WALKIN",
"customer_group_id" : "02d59481-b67d-11e5-f667-b08185e893f8",
"customer_group_name" : "All Customers",
"updated_at" : "2016-01-01 12:16:44",
"deleted_at" : "",
"balance" : "0",
"year_to_date" : "0",
"date_of_birth" : "",
"sex" : "",
"custom_field_1" : "",
"custom_field_2" : "",
"custom_field_3" : "",
"custom_field_4" : "",
"note" : "",
"contact" : {
}
},
"user_id" : "02d59481-b655-11e5-f667-dca974edc4ea",
"user_name" : "Alvaro Velosa",
"sale_date" : "2018-03-13 20:04:57",
"created_at" : "2018-03-13 20:05:08",
"updated_at" : "2018-03-13 20:05:08",
"total_price" : 3.5,
"total_cost" : 2.74,
"total_tax" : NumberInt(0),
"tax_name" : "No Tax",
"note" : "",
"status" : "CLOSED",
"short_code" : "newa6f",
"invoice_number" : "Masonic2107Temple",
"accounts_transaction_id" : "",
"return_for" : "",
"register_sale_products" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9cbf10f10",
"product_id" : "02dcd191-ae55-11e7-f130-9d4f4bcd91b1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"sequence" : "0",
"handle" : "LAGERDRAUGHT300",
"sku" : "10287",
"name" : "LAGER DRAUGHT £3.00",
"quantity" : NumberInt(1),
"price" : 3.5,
"cost" : 2.74,
"price_set" : NumberInt(0),
"discount" : NumberInt(0),
"loyalty_value" : NumberInt(0),
"tax" : NumberInt(0),
"tax_id" : "02d59481-b67d-11e5-f667-b08185ec2871",
"tax_name" : "No Tax",
"tax_rate" : NumberInt(0),
"tax_total" : NumberInt(0),
"price_total" : 3.5,
"display_retail_price_tax_inclusive" : "0",
"status" : "CONFIRMED",
"attributes" : [
{
"name" : "line_note",
"value" : ""
}
]
}
],
"totals" : {
"total_tax" : NumberInt(0),
"total_price" : 3.5,
"total_payment" : 3.5,
"total_to_pay" : NumberInt(0)
},
"register_sale_payments" : [
{
"id" : "776a66f2-993c-b372-11e8-26f9cd75e9aa",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:04:57",
"amount" : NumberInt(10)
},
{
"id" : "776a66f2-993c-b372-11e8-26f9cd7a3096",
"payment_type_id" : "1",
"register_id" : "02dcd191-ae55-11e6-edd8-ec8dce1d9e1c",
"retailer_payment_type_id" : "02d59481-b655-11e5-f667-b0a23bc0e7bc",
"name" : "Cash",
"label" : "Account Customer",
"payment_date" : "2018-03-13 20:04:57",
"amount" : -6.5
}
]
}
}
}
Use the $map operator to shape the field to an array by mapping the array elements to the item_name key:
"line_items": {
"$map": {
"input": "$object_raw_origin_data.register_sales.register_sale_products",
"as": "product",
"in": { "item_name": "$$product.name" }
}
}
Output
"line_items" : [
{
"item_name" : "LAGER DRAUGHT £3.00"
}
]
in my sails controller I have implement a function to find users. but when I try to search using ObjectId it returns all the data. I couldn't find any reason. but it works when I create a new separate field as "userID", and find using "userID". I think the problem is find using the "ObjectId" what could be the issue.
module.exports = {
updateOrders : function(req,res){
var ObjectId = require('mongodb').ObjectID;
console.log("req " + req);
var data = req.body;
var obj = [];
console.log("\ndata "+(data));
var jdata = JSON.stringify(data);
console.log("\njdata: "+jdata);
data.forEach(function(orders){
var objid = ObjectId(orders.id);
console.log("Obj orders id :" + objid);
ApplicationOrder.find({id: ObjectId(orders.id)}).exec(function (err, order) {
if (err){
return done(err);
}
console.log('order ' + order);
obj.push(order);
});
})
res.send(obj);
}
};
Json data: printed in the console.
{
"_id" : ObjectId("59a8f820caf1cae37af72c0c"),
"appId" : "59a669431954a69e37c20b69",
"registeredUser" : "59a677811954a69e37c20b73",
"item" : [
{
"id" : "59a669441954a69e37c20b70",
"name" : "Short x",
"qty" : 1,
"sku" : "1111",
"totWeight" : null,
"price" : "250",
"total" : "250",
"imgURL" : [
{
"img" : "short_x.png"
}
],
"totalQty" : 218
}
],
"amount" : "250",
"customerName" : "dilakshan",
"deliverName" : "dilakshan",
"deliveryNo" : "11010",
"deliveryStreet" : "delgoda",
"deliveryCity" : "kandana",
"deliveryCountry" : "Sri Lanka",
"deliveryZip" : "11010",
"telNumber" : 94779967409,
"tax" : "0",
"shippingCost" : "0",
"shippingOpt" : "Flat Rate",
"email" : "s.dilakshan#yahoo.com",
"currency" : "$",
"paymentStatus" : "Pending",
"fulfillmentStatus" : "Pending",
"createdAt" : ISODate("2017-09-01T06:03:12.584Z"),
"updatedAt" : ISODate("2017-09-01T06:03:12.584Z")
}
{
"_id" : ObjectId("59a8f82fcaf1cae37af72c0d"),
"appId" : "59a669431954a69e37c20b69",
"registeredUser" : "59a677811954a69e37c20b73",
"item" : [
{
"id" : "59a669441954a69e37c20b6d",
"name" : "Shirt x",
"qty" : 1,
"sku" : "1111",
"totWeight" : null,
"price" : "250",
"total" : "250",
"imgURL" : [
{
"img" : "shirt_x.png"
}
],
"totalQty" : 244
}
],
"amount" : "250",
"customerName" : "dilakshan",
"deliverName" : "dilakshan",
"deliveryNo" : "11010",
"deliveryStreet" : "delgoda",
"deliveryCity" : "kandana",
"deliveryCountry" : "Sri Lanka",
"deliveryZip" : "11010",
"telNumber" : 94779967409,
"tax" : "0",
"shippingCost" : "0",
"shippingOpt" : "Flat Rate",
"email" : "s.dilakshan#yahoo.com",
"currency" : "$",
"paymentStatus" : "Pending",
"fulfillmentStatus" : "Pending",
"createdAt" : ISODate("2017-09-01T06:03:27.022Z"),
"updatedAt" : ISODate("2017-09-01T06:03:27.022Z")
}
{
"_id" : ObjectId("59a8f83ecaf1cae37af72c0e"),
"appId" : "59a669431954a69e37c20b69",
"registeredUser" : "59a677811954a69e37c20b73",
"item" : [
{
"id" : "59a669441954a69e37c20b71",
"name" : "Beach Suit",
"qty" : 2,
"sku" : "1111",
"totWeight" : null,
"price" : "250",
"total" : "250",
"imgURL" : [
{
"img" : "cloth3.png"
}
],
"totalQty" : 238
}
],
"amount" : "500",
"customerName" : "dilakshan",
"deliverName" : "dilakshan",
"deliveryNo" : "11010",
"deliveryStreet" : "delgoda",
"deliveryCity" : "kandana",
"deliveryCountry" : "Sri Lanka",
"deliveryZip" : "11010",
"telNumber" : 94779967409,
"tax" : "0",
"shippingCost" : "0",
"shippingOpt" : "Flat Rate",
"email" : "s.dilakshan#yahoo.com",
"currency" : "$",
"paymentStatus" : "Pending",
"fulfillmentStatus" : "Pending",
"createdAt" : ISODate("2017-09-01T06:03:42.439Z"),
"updatedAt" : ISODate("2017-09-01T06:03:42.439Z")
}
For standard sails.js/waterline queries, you have to use the id as a String in your query params, do not use ObjectId(ordersId).
When you use a sails native query, use ObjectId(ordersId).
If you are using any mongodb adapter then do not try to convert id by ObjectId(orders.id).Try normal query like
ApplicationOrder.find({'id':orders.id})
For native sails query,you have to convert id to objectId.
I finally was able to fix the issue. I had to edit the my model class in sails and use only orders.id model class,
_id:{type : 'objectid'} and when search
.find({_id: orders.id})
this worked for me perfectly.
MongoDB - How to get the course which has the max correct ansewrs (as percentage of total questions) for the active users.
There is a part of the document.
<code>
{
"_id" : 1.0,
"user_id" : "jjackson0",
"first_name" : "Jack",
"last_name" : "Jackson",
"email" : "jjackson0#apache.org",
"status" : "active",
"join_date" : "2014-12-10",
"last_login_date" : "2016-09-30 23:51:41 -0400",
"strengths" : [
"mongo queries",
"mongo map-reduce queries"
],
"courses" : [
{
"code" : "CSIS2300",
"total_questions" : 165.0,
"correct_answers" : 153.0,
"incorect_answers" : 12.0
}
]
}
/* 2 */
{
"_id" : 2.0,
"user_id" : "ecoleman1",
"first_name" : "Eugene",
"last_name" : "Coleman",
"email" : "ecoleman1#techcrunch.com",
"age" : 49.0,
"status" : "banned",
"join_date" : "2015-07-01",
"last_login_date" : "2016-09-30 23:54:08 -0400",
"address" : {
"city" : "Chencun",
"province" : "PEI"
},
"strengths" : [
"visualization",
"sql",
"query optimisation",
"dimensional modelling",
"analytics research"
],
"courses" : [
{
"code" : "CSIS2300",
"total_questions" : 188.0,
"correct_answers" : 106.0,
"incorect_answers" : 82.0
},
{
"code" : "CSIS3300",
"total_questions" : 12.0,
"correct_answers" : 9.0,
"incorect_answers" : 3.0
},
{
"code" : "CSIS3380",
"total_questions" : 172.0,
"correct_answers" : 142.0,
"incorect_answers" : 30.0
},
{
"code" : "CSIS3360",
"total_questions" : 140.0,
"correct_answers" : 21.0,
"incorect_answers" : 119.0
},
{
"code" : "CSIS4260",
"total_questions" : 163.0,
"correct_answers" : 75.0,
"incorect_answers" : 88.0
}
]
}
/* 3 */
{
"_id" : 3.0,
"user_id" : "mbowman2",
"first_name" : "Mark",
"last_name" : "Bowman",
"email" : "mbowman2#ebay.co.uk",
"age" : 36.0,
"status" : "disabled",
"join_date" : "2015-02-01",
"last_login_date" : "2016-09-30 23:58:07 -0400",
"address" : {
"city" : "Ban Kruat",
"province" : "NL"
},
"strengths" : [
"mongo map-reduce queries",
"sql",
"dimensional modelling",
"visualization"
],
"courses" : [
{
"code" : "CSIS2300",
"total_questions" : 185.0,
"correct_answers" : 171.0,
"incorect_answers" : 14.0
},
{
"code" : "CSIS3300",
"total_questions" : 57.0,
"correct_answers" : 54.0,
"incorect_answers" : 3.0
}
]
}
/* 4 */
{
"_id" : 4.0,
"user_id" : "acollins3",
"first_name" : "Andrew",
"last_name" : "Collins",
"email" : "acollins3#unesco.org",
"status" : "inactive",
"join_date" : "2016-03-06",
"last_login_date" : "2016-09-30 23:59:05 -0400",
"strengths" : [
"analytics research",
"mongo queries",
"normalization"
],
"courses" : [
{
"code" : "CSIS2300",
"total_questions" : 101.0,
"correct_answers" : 37.0,
"incorect_answers" : 64.0
}
]
}
</code>
There is my query. I got some result but I wanna make sure it is right.
<code>
db.assign1.aggregate([
{$unwind: "$courses"},
{$project:
{_id: 0,
user_id: 1,
max_cor_ans: {$max: "$courses.correct_answers"},
status: 1,
course_code: "$courses.code"}
},
{$match: {"status": "active"}},
{$sort: {"max_cor_ans": -1}}
]);
</code>
I think your query requires some changes as it will not ouptut what you want
No need of doing any project stage,Try this
db.assign1.aggregate([
{$match: {"status": "active"}},
{$unwind: "$courses"},
{$sort : {"courses.correct_answers" : - 1}}
{
$group:
{_id: null,
user_id: {$first : "$user_id"},
max_cor_ans: {$first: "$courses.correct_answers"},
status: {$first : "$status"},
course_code: {"$first : "$courses.code""}
}
}
]);