Added queries for M3 (crud operations)

Practical/Practical Exam/MongoDB/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,
-  address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
+  Contact: 9972410427,
+  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,
-  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  Contact: 9972410426,
+  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,
-  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  Contact: 9972410425,
+  Address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
 }
 ])
 

Practical/Practical Exam/MongoDB/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,
-  address: [{PAddr: "Kokan, Maharashtra"}, {LAddr: "Lohegaon, Pune"}]
+  Contact: 9972410427,
+  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,
-  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  Contact: 9972410426,
+  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,
-  address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
+  Contact: 9972410425,
+  Address: [{PAddr: "NDB, Maharashtra"}, {LAddr: "Camp, Pune"}]
 }
 ])
 

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

@@ -0,0 +1,158 @@
+# 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();
+
+```
+
+---