Added queries and softcopy for B3.

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## 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" }
);
```

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