From 6eae704642bb67cacd6b0904614f0d8367de7f35 Mon Sep 17 00:00:00 2001
From: Kshitij <kshitijk@tuta.io>
Date: Fri, 8 Nov 2024 16:42:30 +0530
Subject: [PATCH] Added queries for M2 (crud operations)

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+# M2 - Crud Operations
+
+**Problem Statement:**
+Design and Develop MongoDB Queries using CRUD operations:
+Create Employee collection by considering following Fields:
+i. Name: Embedded Doc (FName, LName)
+ii. Company Name: String
+iii. Salary: Number
+iv. Designation: String
+v. Age: Number
+vi. Expertise: Array
+vii. DOB: String or Date
+viii. Email id: String
+ix. Contact: String
+x. Address: Array of Embedded Doc (PAddr, LAddr)
+Insert at least 5 documents in collection by considering above
+attribute and execute following queries:
+1. Final name of Employee where age is less than 30 and salary more
+than 50000.
+2. Creates a new document if no document in the employee collection
+contains
+{Designation: "Tester", Company_name: "TCS", Age: 25}
+3. Selects all documents in the collection where the field age has
+a value less than 30 or the value of the salary field is greater
+than 40000.
+4. Find documents where Designation is not equal to "Developer".
+5. Find _id, Designation, Address and Name from all documents where
+Company_name is "Infosys".
+6. Display only FName and LName of all Employees
+
+---
+
+## Creating database & collection:
+
+```json
+use empDB
+db.createCollection("Employee")
+
+```
+
+## Inserting data:
+
+```json
+db.Employee.insertMany([
+{
+  Name: {FName: "Ayush", LName: "Kalaskar"},
+  Company: "TCS",
+  Salary: 45000,
+  Designation: "Programmer",
+  Age: 24,
+  Expertise: ['Docker', 'Linux', 'Networking', 'Politics'],
+  DOB: new Date("1998-03-12"),
+  Email: "ayush.k@tcs.com",
+  contact: 9972410427,
+  address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
+},
+{
+  Name: {FName: "Mehul", LName: "Patil"},
+  Company: "MEPA",
+  Salary: 55000,
+  Designation: "Tester",
+  Age: 20,
+  Expertise: ['HTML', 'CSS', 'Javascript', 'Teaching'],
+  DOB: new Date("1964-06-22"),
+  Email: "mehul.p@mepa.com",
+  contact: 9972410426,
+  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+},
+{
+  Name: {FName: "Himanshu", LName: "Patil"},
+  Company: "Infosys",
+  Salary: 85000,
+  Designation: "Developer",
+  Age: 67,
+  Expertise: ['Mongodb', 'Mysql', 'Cassandra', 'Farming'],
+  DOB: new Date("1957-04-28"),
+  Email: "himanshu.p@infosys.com",
+  contact: 9972410425,
+  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+}
+])
+
+```
+
+## Queries
+
+1. Final name of Employee where age is less than 30 and salary more than 50000.
+```json
+db.Employee.find(
+  {
+    Age: { $lt: 30 },
+    Salary: { $gt: 50000 }
+  }
+)
+
+```
+
+2. Creates a new document if no document in the employee collection contains `{Designation: "Tester", Company_name: "TCS", Age: 25}`
+```json
+db.Employee.updateOne(
+  {Designation: "Tester", Company: "TCS", Age: 25},
+  { $setOnInsert:
+    {
+      Name: {FName: "Karan", LName: "Salvi"},
+      Salary: 35000,
+      Expertise: ['Blockchain', 'C++', 'Python', 'Fishing'],
+      DOB: new Date("1999-11-01"),
+      Email: "karan.s@tcs.com",
+      Contact: 9972410424,
+      Address: [{PAddr: "Kolhapur, Maharashtra"}, {LAddr: "Viman Nagar, Pune"}]
+    }
+  },
+  { upsert: true }
+)
+
+```
+
+3. Selects all documents in the collection where the field age has a value less than 30 or the value of the salary field is greater than 40000.
+```json
+db.Employee.find(
+  {
+    Age: { $lt: 30 },
+    Salary: { $gt: 40000 }
+  }
+)
+
+```
+
+4. Find documents where Designation is not equal to "Developer".
+```json
+db.Employee.find(
+  {
+    Designation: { $ne: "Developer" }
+  }
+)
+
+```
+
+5. Find _id, Designation, Address and Name from all documents where Company_name is "Infosys".
+```json
+db.Employee.find(
+  { Company: "Infosys" },
+  { _id: 1, Designation: 1, Address: 1, Name: 1 }
+)
+
+```
+
+6. Display only FName and LName of all Employees.
+```json
+db.Employee.find(
+  {},
+  {"Name.FName": 1, "Name.LName": 1}
+)
+
+```
+
+---