Reputation: 1046
I have mongoose document called RegisterList
, and that document contain sub-document called Booking
.
Here i need to retrieve sub-document, which is most recently added sub-document
below is my json Data
[
{
_id: "56a3174bfc518cd014af7abd",
area_name: "padi",
name: "Vignesh",
email: "[email protected]",
mobile_no: "9282438685",
otp: "1625",
__v: 0,
date: "2016-01-23T06:01:47.450Z",
booking: [
{
name: "Vignesh",
mobile: "9282438685",
can_name: "Kinley",
can_quantity: "2",
can_cost: "80",
can_path: "http://test15.watervan.in/wp-content/uploads/2015/07/p-95-WV-Kinley-25l.png",
delivery_date: "23-01-2016",
delivery_timeslot: "3pm-8pm",
order_id: "S16064",
subscription: "true",
subscription_type: "EveryDay",
total_cost: "560",
address: "12,Ramanrajan street,,padi,Chennai",
_id: "56a3174bfc518cd014af7abe",
delivered_at: "2016-01-22T18:30:00.000Z",
ordered_at: "2016-01-23T06:01:47.451Z",
status: "Delivered"
},
{
name: "Vignesh",
mobile: "9282438685",
can_name: "Kinley",
can_quantity: "2",
can_cost: "80",
can_path: "http://test15.watervan.in/wp-content/uploads/2015/07/p-95-WV-Kinley-25l.png",
delivery_date: "24-01-2016",
delivery_timeslot: "3pm-8pm",
address: "12,Ramanrajan street,,padi,Chennai",
order_id: "S16064",
subscription_type: "EveryDay",
_id: "56a31ba2d55894ec15eac1cf",
ordered_at: "2016-01-23T06:20:18.479Z",
status: "UnderProcess"
}
]
},
{
_id: "56a0bc8d3306f388131e56c6",
area_name: "kodambakkam",
name: "Ganesh",
email: "[email protected]",
mobile_no: "9042391491",
otp: "7828",
__v: 0,
date: "2016-01-21T11:10:05.074Z",
booking: [
{
name: "Ganesh",
mobile: "9042391491",
can_name: "Bisleri",
can_quantity: "5",
can_cost: "250",
can_path: "http://test15.watervan.in/wp-content/uploads/2015/07/p-95-WV-Kinley-25l.png",
delivery_date: "23-01-2016",
delivery_timeslot: "3pm-8pm",
order_id: "S12348",
subscription: "true",
subscription_type: "Alternate",
total_cost: "1000",
address: "15/A,Main Street,kodambakkam,Chennai",
_id: "56a3164dc2c549e811c0d08f",
delivered_at: "2016-01-22T18:30:00.000Z",
ordered_at: "2016-01-23T05:57:33.169Z",
status: "Delivered"
},
{
name: "Ganesh",
mobile: "9042391491",
can_name: "Bisleri",
can_quantity: "5",
can_cost: "250",
can_path: "http://test15.watervan.in/wp-content/uploads/2015/07/p-95-WV-Kinley-25l.png",
delivery_date: "25-01-2016",
delivery_timeslot: "3pm-8pm",
address: "15/A,Main Street,kodambakkam,Chennai",
order_id: "S12348",
subscription_type: "Alternate",
_id: "56a31c29d55894ec15eac1d0",
ordered_at: "2016-01-23T06:22:33.307Z",
status: "UnderProcess"
}
]
}
]
how can i find the most recent inserted sub-document alone. in the given JsonCode.
Help will be appreciated...
Updated:
I need to find data for the AND
condition for delivery_date
and status
, so how can i write mongoose query to get data
Upvotes: 1
Views: 810
Reputation: 9008
Based on assumption, you can get latest sub document using aggregation framework.
Mongodb Version 3.2+
db.col.aggregate([
{$project: {
"area_name" : 1,
"name" : 1,
"email" : 1,
"mobile_no" :1,
"otp" : 1,
"__v" : 1,
"date" : 1,
"booking": {$slice :["$booking",-1]}}}
])
MongoDB Version < 3.2
db.col.aggregate([
// Stage 1
{
$unwind: "$booking"
},
// Stage 2
{
$sort: {
"booking.ordered_at":-1
}
},
// Stage 3
{
$group: {
_id: {
id: "$_id",
"area_name" : "$area_name",
"name" : "$name",
"email" : "$email",
"mobile_no" :"$mobile_no",
"otp" : "$opt",
"date" : "$date"
},
booking:{$first: "$booking"}
}
},
// Stage 4
{
$project: {
_id: 0,
_id: "$_id.id",
"area_name" : "$_id.area_name",
"name" : "$_id.name",
"email" : "$_id.email",
"mobile_no" :"$_id.mobile_no",
"otp" : "$_id.opt",
"date" : "$_id.date",
"booking": 1
}
}
]);
Based on your provided sample documents, output would look like
{
"_id" : "56a3174bfc518cd014af7abd",
"booking" : {
"name" : "Vignesh",
"mobile" : "9282438685",
"can_name" : "Kinley",
"can_quantity" : "2",
"can_cost" : "80",
"can_path" : "http://test15.watervan.in/wp-content/uploads/2015/07/p-95-WV-Kinley-25l.png",
"delivery_date" : "24-01-2016",
"delivery_timeslot" : "3pm-8pm",
"address" : "12,Ramanrajan street,,padi,Chennai",
"order_id" : "S16064",
"subscription_type" : "EveryDay",
"_id" : "56a31ba2d55894ec15eac1cf",
"ordered_at" : "2016-01-23T06:20:18.479Z",
"status" : "UnderProcess"
},
"area_name" : "padi",
"name" : "Vignesh",
"email" : "[email protected]",
"mobile_no" : "9282438685",
"date" : "2016-01-23T06:01:47.450Z"
}
{
"_id" : "56a0bc8d3306f388131e56c6",
"booking" : {
"name" : "Ganesh",
"mobile" : "9042391491",
"can_name" : "Bisleri",
"can_quantity" : "5",
"can_cost" : "250",
"can_path" : "http://test15.watervan.in/wp-content/uploads/2015/07/p-95-WV-Kinley-25l.png",
"delivery_date" : "25-01-2016",
"delivery_timeslot" : "3pm-8pm",
"address" : "15/A,Main Street,kodambakkam,Chennai",
"order_id" : "S12348",
"subscription_type" : "Alternate",
"_id" : "56a31c29d55894ec15eac1d0",
"ordered_at" : "2016-01-23T06:22:33.307Z",
"status" : "UnderProcess"
},
"area_name" : "kodambakkam",
"name" : "Ganesh",
"email" : "[email protected]",
"mobile_no" : "9042391491",
"date" : "2016-01-21T11:10:05.074Z"
}
Upvotes: 1