https://github.com/suganyarajes/mongodb-query-day35

MongoDB is a NoSQL database that provides high performance, high availability, and easy scalability through a flexible document-oriented data model.
https://github.com/suganyarajes/mongodb-query-day35

databases json mongodb nosql products query

Last synced: 13 days ago
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MongoDB is a NoSQL database that provides high performance, high availability, and easy scalability through a flexible document-oriented data model.

• Host: GitHub
• URL: https://github.com/suganyarajes/mongodb-query-day35
• Owner: suganyarajes
• Created: 2024-06-04T07:21:38.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-06-04T09:37:32.000Z (7 months ago)
• Last Synced: 2024-10-31T09:14:04.474Z (2 months ago)
• Topics: databases, json, mongodb, nosql, products, query
• Homepage: https://github.com/suganyarajes/MongoDb-Query-Day35.git
• Size: 4.09 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MongoDB Product Queries

This repository contains a set of MongoDB queries to interact with a product database. The database is populated using a JSON file containing various products with attributes such as product name, price, material, and color.

Setup

Clone the Repository

git clone https://github.com/suganyarajes/MongoDb-Query-Day35.git

#Import the Product JSON

Ensure MongoDB is installed and running on your machine. Import the products.json into your MongoDB instance using the following command:

mongoimport --db freshtohome --collection products --file products.json --jsonArray

#MongoDB Queries

Here are the MongoDB queries to perform various tasks on the products collection:

1.Find all the information about each product:

db.products.find({})

2.Find the product price which is between 400 to 800:

db.products.find({ "product_price": { "$gte": 400, "$lte": 800 } })

3.Find the product price which is not between 400 to 600:

db.products.find({ "$or": [{ "product_price": { "$lt": 400 } }, { "product_price": { "$gt": 600 } }] })

4.List the four products which are greater than 500 in price:

db.products.find({ "product_price": { "$gt": 500 } }).limit(4)

5.Find the product name and product material of each product:

db.products.find({}, { "product_name": 1, "product_material": 1, "_id": 0 })

6.Find the product with a row id of 10:

db.products.find({ "id": "10" })

7.Find only the product name and product material:

db.products.find({}, { "product_name": 1, "product_material": 1, "_id": 0 })

8.Find all products which contain the value "soft" in product material:

db.products.find({ "product_material": { "$regex": /soft/i } })

9.Find products which contain product color "indigo" and product price 492.00:

db.products.find({ "product_color": "indigo", "product_price": 492.00 })

10.Delete the products which product price value is 28:

db.products.deleteMany({ "product_price": 28 })

Notes

Ensure you replace the collection and database names if they differ in your setup.

The field names used in the queries (e.g., product_price, product_name, product_material) should match the field names in your imported JSON data.

The id field in query 6 is assumed to be a string. If it's stored as a different type, adjust the query accordingly.

Contributing

Feel free to submit issues or pull requests if you have suggestions for improvements or additional queries.