Practical/Practical Exam/M1 - Crud operations.md

@@ -14,7 +14,8 @@ 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:
+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.

Practical/Practical Exam/M2 - Crud operations.md

@@ -1,157 +0,0 @@
-# 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}
-)
-
-```
-
----