Practical/Practical Exam/M1 - Crud operations.md

@@ -51,8 +51,8 @@ db.Employee.insertMany([
   Expertise: ['Docker', 'Linux', 'Networking', 'Politics'],
   DOB: new Date("1969-03-12"),
   Email: "ayush.k@tcs.com",
-  Contact: 9972410427,
+  contact: 9972410427,
-  Address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
+  address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
 },
 {
   Name: {FName: "Mehul", LName: "Patil"},
@@ -63,8 +63,8 @@ db.Employee.insertMany([
   Expertise: ['HTML', 'CSS', 'Javascript', 'Teaching'],
   DOB: new Date("1964-06-22"),
   Email: "mehul.p@mepa.com",
-  Contact: 9972410426,
+  contact: 9972410426,
-  Address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
 },
 {
   Name: {FName: "Himanshu", LName: "Patil"},
@@ -75,8 +75,8 @@ db.Employee.insertMany([
   Expertise: ['Mongodb', 'Mysql', 'Cassandra', 'Farming'],
   DOB: new Date("1957-04-28"),
   Email: "himanshu.p@infosys.com",
-  Contact: 9972410425,
+  contact: 9972410425,
-  Address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
 }
 ])
 

Practical/Practical Exam/M2 - Crud operations.md

@@ -51,8 +51,8 @@ db.Employee.insertMany([
   Expertise: ['Docker', 'Linux', 'Networking', 'Politics'],
   DOB: new Date("1998-03-12"),
   Email: "ayush.k@tcs.com",
-  Contact: 9972410427,
+  contact: 9972410427,
-  Address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
+  address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
 },
 {
   Name: {FName: "Mehul", LName: "Patil"},
@@ -63,8 +63,8 @@ db.Employee.insertMany([
   Expertise: ['HTML', 'CSS', 'Javascript', 'Teaching'],
   DOB: new Date("1964-06-22"),
   Email: "mehul.p@mepa.com",
-  Contact: 9972410426,
+  contact: 9972410426,
-  Address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
 },
 {
   Name: {FName: "Himanshu", LName: "Patil"},
@@ -75,8 +75,8 @@ db.Employee.insertMany([
   Expertise: ['Mongodb', 'Mysql', 'Cassandra', 'Farming'],
   DOB: new Date("1957-04-28"),
   Email: "himanshu.p@infosys.com",
-  Contact: 9972410425,
+  contact: 9972410425,
-  Address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
 }
 ])
 

Practical/Practical Exam/MongoDB/M3 - Crud operations.md

@@ -1,158 +0,0 @@
-# M2 - Crud Operations
-
-**Problem Statement:**
-Design and Develop MongoDB Queries using CRUD operations:
-Create Employee collection by considering following Fields:
-i. Emp_id : Number
-ii. Name: Embedded Doc (FName, LName)
-iii. Company Name: String
-iv. Salary: Number
-v. Designation: String
-vi. Age: Number
-vii. Expertise: Array
-viii. DOB: String or Date
-ix. Email id: String
-x. Contact: String
-xi. Address: Array of Embedded Doc (PAddr, LAddr)
-Insert at least 5 documents in collection by considering above
-attribute and execute following queries:
-1. Creates a new document if no document in the employee collection
-contains
-{Designation: "Tester", Company_name: "TCS", Age: 25}
-2. Finds all employees working with Company_name: "TCS" and
-increase their salary by 2000.
-3. Matches all documents where the value of the field Address is an
-embedded document that contains only the field city with the
-value "Pune" and the field Pin_code with the value "411001".
-4. Find employee details who are working as "Developer" or
-"Tester".
-5. Drop Single documents where designation="Developer".
-6. Count number of documents in employee collection.
-
----
-
-## 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", Pin_code: 411014}]
-},
-{
-  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", Pin_code: 411001}]
-},
-{
-  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", Pin_code: 411001}]
-}
-])
-
-```
-
-## Queries
-
-1. 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", Pin_code: 411014}]
-    }
-  },
-  { upsert: true }
-)
-
-```
-
-2. Finds all employees working with Company_name: "TCS" and increase their salary by 2000.
-```json
-db.Employee.updateMany(
-  { Company: "TCS" },
-  { $inc: { Salary: 2000 } }
-)
-
-```
-
-3. Matches all documents where the value of the field Address is an embedded document that contains only the field city with the value "Pune" and the field Pin_code with the value "411001".
-```json
-db.Employee.find(
-  { $or: [
-      {
-        "Address.Pin_code": 411001,
-        "Address.LAddr": { $regex: /Pune/i }
-      },
-      {
-        "Address.Pin_code": 411001,
-        "Address.PAddr": { $regex: /Pune/i }
-      }
-    ]
-  }
-)
-
-```
-
-4. Find employee details who are working as "Developer" or "Tester".
-```json
-db.Employee.find(
-  { $or: [
-      { Designation: "Developer" },
-      { Designation: "Tester" }
-    ]
-  }
-)
-
-```
-
-5. Drop Single documents where Designation="Developer"
-```json
-db.Employee.deleteMany( { Designation: "Developer" } )
-
-```
-
-6. Count number of documents in employee collection.
-```json
-db.Employee.countDocuments();
-
-```
-
----