- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Querying array of Embedded Documents in MongoDB based on Range?
To query an array of embedded documents based on range, use aggregate(). Let us create a collection with documents −
> db.demo346.insertOne(
... {
... _id: 101,
... userDetails: [
... { UserName: "Chris", Score:78},
... { UserName: "David", Score:68},
... { UserName: "Bob", Score:88}
... ]
... }
... );
{ "acknowledged" : true, "insertedId" : 101 }
> db.demo346.insertOne(
... {
... _id: 102,
... userDetails: [
... { UserName: "Mike", Score:92},
... { UserName: "Sam", Score:62},
... { UserName: "Carol", Score:97}
... ]
... }
... );
{ "acknowledged" : true, "insertedId" : 102 }
Display all documents from a collection with the help of find() method −
> db.demo346.find();
This will produce the following output −
{
"_id" : 101, "userDetails" : [
{ "UserName" : "Chris", "Score" : 78 },
{ "UserName" : "David", "Score" : 68 },
{ "UserName" : "Bob", "Score" : 88 }
]
}
{
"_id" : 102, "userDetails" : [
{ "UserName" : "Mike", "Score" : 92 },
{ "UserName" : "Sam", "Score" : 62 },
{ "UserName" : "Carol", "Score" : 97 }
]
}
Following is how to query an array of embedded documents in MongoDB based on Range −
> db.demo346.aggregate([
... { "$match": { "$expr": { "$gte": [{ "$size": { "$ifNull": ["$userDetails", []] } }, 1] }}},
... { "$addFields": {
... "userDetails": {
... "$filter": {
... "input": { "$ifNull": ["$userDetails", []] },
... "cond": {
... "$and": [
... { "$gte": ["$$this.Score", 80] },
... { "$lte": ["$$this.Score", 99] }
... ]
... }
... }
... }
... }}
... ])
This will produce the following output −
{ "_id" : 101, "userDetails" : [ { "UserName" : "Bob", "Score" : 88 } ] }
{ "_id" : 102, "userDetails" : [ { "UserName" : "Mike", "Score" : 92 }, { "UserName" : "Carol", "Score" : 97 } ] }
Updated on: 2020-04-02T07:44:54+05:30
213 Views
Advertisements