Project 2

MongoDB is a Nosql database collection that focuses on availability and scalability. The data is structured and stored in collections of JSON documents.

By not using a fixed data structure, MongoDB provides a comprehensive solution for high-volume storage in a modern distributed system.

example command:-

test> use sample
switched to db sample
sample> show dbs;
admin 40.00 KiB
config 36.00 KiB
local 88.00 KiB
mongoworkshop3 40.00 KiB
shop 40.00 KiB
test 208.00 KiB
sample> db.test.insert({"name":"siva"})
DeprecationWarning: Collection.insert() is deprecated. Use insertOne, insertMany, or bulkWrite.
{
acknowledged: true,
insertedIds: { '0': ObjectId("63819bd7391640af6134189e") }
}

sample>db.sample.find()

>db.createcollction customer

>show collection

>db.customer.insert({"customer":1,"name":"surya"});

>shoe collection

>db.createcollection.drop()

>db.customer.find()

2.Submit all the queries used to create the database

Answers:-

a. db.customer.insert( {customerID: 24,firstname:"john",lastname:"H",addresses:[{street:"23 peter st"}]);

b. db.customer.insert({normal memer:"3",premium member:"1"})

c.db.carts.insert({ _id: "product_id", status:'active', quantity: 2, total: 2000, products: []});

d.db.products.insertMany([{"categories":2,"brands":"new","segments":1}]);

e.db.category.insertOne([{"subcategories":5}]);

f. db.aggregateproducts.insertMany([{tags:['categories','subcategories'],like:50}]);

g. db.createcollection "(cart")

db.carts.insert({ _id: "product_id", status:'active', login: 2, logout: 0, products: []});

db.tracking:( { tracking_number: "22122X211SD", status: "on",estimated_delivery: new ISODate("2012-05-17T08:14:15.656Z") },

h. db.createcollection("admin")

db.admin.inserts({"sellerid":56})

db.product.insertMany([{'categories'],like:100}]);

i. db.createcollection("seller")

db.orders.insert({ created_on: new ISODate("2012-05-17T08:14:15.656Z")});

j.db.createcollection("order")

tracking:( { tracking_number: "22122X211SD", status: "cancelled"});

payment: { method: "visa", transaction_id: "2312213312XXXTD" }

k. db.seller.insertOne({"phone_no":3458927628,"name":"sugu","address":"4,old road"});

Simple Queries to perform on ecommerce db

1.Write a query to find the average order value for all Customers.

db.collectionname.find().aggregate(field_name).sort()

db.customer.find().sort{name:1}).limit(5)

db.customer.find().limit(5).sort({name:1})

2.Query your database to get top 10 customers whose orders have the highest value and who have been customers since less than 2 months

db.customer.find({months:{$lt:10}};

db.checkdate.find( { status: "delivery",estimated_delivery: new ISODate("2012-05-17T08:14:15.656Z") });

3.Query your database to find the sum of all orders received in this month

db.orders.find({$groupby:[{$max:"orders"},{"customer_date"<60}]});

4.Query your database to find customers count in various cities, group them by names of cities

db.aggregatecustomers.insertMany([{titles:'cities',description:'names',by:'count',tags:['cities','names','count'],likes:40}]);

5.Query your database to get all the sellers who have base in the same city in which the customers who ordered their products. Order them in the order of highest number of products sold to customers in same city to lowest.

db.customers.aggregate([{$group:[_id:{products:"$products"},count:{$sum:1}}},{$match:{count:{"$lt":1}}}]);