From 4225fcccf7a04465de22dd913d708a3d2559d94f Mon Sep 17 00:00:00 2001
From: Kshitij <kshitijk@tuta.io>
Date: Fri, 8 Nov 2024 16:22:47 +0530
Subject: [PATCH] Added readme and m1 queries.

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 .../Practical Exam/M1 - Crud operations.md    | 150 ++++++++++++++++++
 Practical/Practical Exam/README.md            |   7 +
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 create mode 100644 Practical/Practical Exam/M1 - Crud operations.md
 create mode 100644 Practical/Practical Exam/README.md

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+# M1 - 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. Select all documents where the Designation field has the value
+"Programmer" and the value of the salary field is greater than
+30000.
+2. Creates a new document if no document in the employee collection
+contains
+{Designation: "Tester", Company_name: "TCS", Age: 25}
+3. Increase salary of each Employee working with “Infosys" 10000.
+4. Finds all employees working with "TCS" and reduce their salary
+by 5000.
+5. Return documents where Designation is not equal to "Tester".
+6. Find all employee with Exact Match on an Array having Expertise:
+['Mongodb','Mysql','Cassandra']
+
+---
+
+## 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: 55,
+  Expertise: ['Docker', 'Linux', 'Networking', 'Politics'],
+  DOB: new Date("1969-03-12"),
+  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: 60,
+  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. Select all documents where the Designation field has the value "Programmer" and the value of the salary field is greater than 30000.
+```json
+db.Employee.find(
+{ Designation: "Programmer", Salary: { $gt: 30000 } }
+)
+
+```
+
+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: 67500,
+  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. Increase salary of each Employee working with “Infosys" 10000.
+```json
+db.Employee.updateMany(
+{ Company: "Infosys" },
+{ $inc: { Salary: 10000 } }
+)
+
+```
+
+4. Finds all employees working with "TCS" and reduce their salary by 5000.
+```json
+db.Employee.updateMany(
+{ Company: "TCS" },
+{ $inc: { Salary: -5000 } }
+)
+
+```
+
+5. Return documents where Designation is not equal to "Tester".
+```json
+db.Employee.find(
+{ Designation: { $ne: "Tester"} }
+)
+
+```
+
+6. Find all employee with Exact Match on an Array having Expertise: `['Mongodb','Mysql','Cassandra']`
+```json
+db.Employee.find(
+{ Expertise: { $all: ['Mongodb', 'Mysql', 'Cassandra'] } }
+)
+
+```
+
+---
diff --git a/Practical/Practical Exam/README.md b/Practical/Practical Exam/README.md
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+# Practical Exam
+
+This folder contains all the problem statements expected for practical examination (2024).
+
+---
+
+