Practical/Assignment-B1/Queries-B1.md

@@ -152,7 +152,7 @@ db.Employee.insertMany([
 db.Employee.find({ Designation: "Programmer", Salary: { $gt: 30000 } })
 ```
 
-2. Create a new document if no document contains `{Designation: "Tester", Company_name: "Y-Space", Age: 25}`:
+2. Create a new document if no document contains `{Designation: "Tester", Company_name: "TCS", Age: 25}`:
 ```mongodb
 db.Employee.update(
     { Designation: "Tester", Company_name: "Y-Space", Age: 25 },
@@ -174,7 +174,7 @@ db.Employee.find({ Address: { $elemMatch: { city: "Pune", Pin_code: "411001" } }
 
 ```
 
-5. Find all documents with Company_name "Oscorp" and modify their salary by 2000:
+5. Find all documents with Company_name "TCS" and modify their salary by 2000:
 ```mongodb
 db.Employee.updateMany(
     { Company_name: "Oscorp" },
@@ -189,7 +189,7 @@ db.Employee.find({ Designation: { $ne: "Developer" } })
 
 ```
 
-7. Find _id, Designation, Address, and Name where Company_name is "Wayne Industries":
+7. Find _id, Designation, Address, and Name where Company_name is "Infosys":
 ```mongodb
 db.Employee.find(
     { Company_name: "Wayne Industries" },

Practical/Assignment-B3/Queries-B3.md

@@ -1,105 +0,0 @@
-## Queries-B3
-
-> [!NOTE]
-> Use Employee database created in Assignment B-01 and perform following aggregation operation
-> Refer [Queries-B1](https://git.kska.io/sppu-te-comp-content/DatabaseManagementSystems/src/branch/main/Practical/Assignment-B1/Queries-B1.md)
-
-1. Return the Total Salary of per Company
-```mongodb
-db.Employee.mapReduce(
-    function() {
-        emit(this.Company_name, this.Salary);
-    },
-    function(key, values) {
-        return Array.sum(values);
-    },
-    { out: "total_salary_per_company" }
-);
-
-```
-
-2. Return the Total Salary of Company Name:"Oscorp"
-```mongodb
-db.Employee.mapReduce(
-    function() {
-        if (this.Company_name === "Oscorp") {
-            emit(this.Company_name, this.Salary);
-        }
-    },
-    function(key, values) {
-        return Array.sum(values);
-    },
-    { out: "total_salary_oscorp" }
-);
-
-```
-
-3. Return the Avg Salary of Company whose address is “Pune".
-```mongodb
-db.Employee.mapReduce(
-    function() {
-        if (this.Address.some(addr => addr.PAddr.includes("Pune"))) {
-            emit("Pune", this.Salary);
-        }
-    },
-    function(key, values) {
-        return Array.avg(values);
-    },
-    { out: "avg_salary_pune" }
-);
-
-```
-
-4. Return the Total Salary for each Designation of `Wayne Industries`.
-```mongodb
-db.Employee.mapReduce(
-    function() {
-        if (this.Company_name === "Wayne Industries") {
-            emit(this.Designation, this.Salary);
-        }
-    },
-    function(key, values) {
-        return Array.sum(values);
-    },
-    { out: "total_salary_wayne" }
-);
-
-```
-
-5. Return total count for “State=Maharashtra”
-```mongodb
-db.Employee.mapReduce(
-    function() {
-        this.Address.forEach(function(addr) {
-            if (addr.LAddr === "Maharashtra") {
-                emit("Maharashtra", 1);
-            }
-        });
-    },
-    function(key, values) {
-        return Array.sum(values);
-    },
-    { out: "count_state_maharashtra" }
-);
-
-```
-
-6. Return Count for State Telangana and Age greater than 40.
-```mongodb
-db.Employee.mapReduce(
-    function() {
-        if (this.Age > 40) {
-            this.Address.forEach(function(addr) {
-                if (addr.LAddr === "Telangana") {
-                    emit("Telangana_Age_Above_40", 1);
-                }
-            });
-        }
-    },
-    function(key, values) {
-        return Array.sum(values);
-    },
-    { out: "count_telangana_age_above_40" }
-);
-
-```