Added queries and softcopy for B3.

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: "TCS", Age: 25}`:
+2. Create a new document if no document contains `{Designation: "Tester", Company_name: "Y-Space", 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 "TCS" and modify their salary by 2000:
+5. Find all documents with Company_name "Oscorp" 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 "Infosys":
+7. Find _id, Designation, Address, and Name where Company_name is "Wayne Industries":
 ```mongodb
 db.Employee.find(
     { Company_name: "Wayne Industries" },

Practical/Assignment-B3/Queries-B3.md

@@ -0,0 +1,105 @@
+## 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" }
+);
+
+```