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@ -152,7 +152,7 @@ db.Employee.insertMany([
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db.Employee.find({ Designation: "Programmer", Salary: { $gt: 30000 } })
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db.Employee.find({ Designation: "Programmer", Salary: { $gt: 30000 } })
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```
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```
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2. Create a new document if no document contains `{Designation: "Tester", Company_name: "Y-Space", Age: 25}`:
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2. Create a new document if no document contains `{Designation: "Tester", Company_name: "TCS", Age: 25}`:
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```mongodb
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```mongodb
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db.Employee.update(
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db.Employee.update(
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{ Designation: "Tester", Company_name: "Y-Space", Age: 25 },
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{ Designation: "Tester", Company_name: "Y-Space", Age: 25 },
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@ -174,7 +174,7 @@ db.Employee.find({ Address: { $elemMatch: { city: "Pune", Pin_code: "411001" } }
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```
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```
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5. Find all documents with Company_name "Oscorp" and modify their salary by 2000:
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5. Find all documents with Company_name "TCS" and modify their salary by 2000:
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```mongodb
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```mongodb
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db.Employee.updateMany(
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db.Employee.updateMany(
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{ Company_name: "Oscorp" },
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{ Company_name: "Oscorp" },
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@ -189,7 +189,7 @@ db.Employee.find({ Designation: { $ne: "Developer" } })
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```
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```
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7. Find _id, Designation, Address, and Name where Company_name is "Wayne Industries":
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7. Find _id, Designation, Address, and Name where Company_name is "Infosys":
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```mongodb
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```mongodb
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db.Employee.find(
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db.Employee.find(
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{ Company_name: "Wayne Industries" },
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{ Company_name: "Wayne Industries" },
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@ -1,105 +0,0 @@
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## Queries-B3
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> [!NOTE]
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> Use Employee database created in Assignment B-01 and perform following aggregation operation
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> Refer [Queries-B1](https://git.kska.io/sppu-te-comp-content/DatabaseManagementSystems/src/branch/main/Practical/Assignment-B1/Queries-B1.md)
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1. Return the Total Salary of per Company
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```mongodb
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db.Employee.mapReduce(
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function() {
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emit(this.Company_name, this.Salary);
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},
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function(key, values) {
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return Array.sum(values);
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},
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{ out: "total_salary_per_company" }
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);
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```
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2. Return the Total Salary of Company Name:"Oscorp"
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```mongodb
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db.Employee.mapReduce(
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function() {
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if (this.Company_name === "Oscorp") {
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emit(this.Company_name, this.Salary);
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}
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},
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function(key, values) {
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return Array.sum(values);
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},
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{ out: "total_salary_oscorp" }
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);
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```
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3. Return the Avg Salary of Company whose address is “Pune".
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```mongodb
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db.Employee.mapReduce(
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function() {
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if (this.Address.some(addr => addr.PAddr.includes("Pune"))) {
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emit("Pune", this.Salary);
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}
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},
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function(key, values) {
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return Array.avg(values);
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},
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{ out: "avg_salary_pune" }
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);
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```
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4. Return the Total Salary for each Designation of `Wayne Industries`.
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```mongodb
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db.Employee.mapReduce(
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function() {
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if (this.Company_name === "Wayne Industries") {
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emit(this.Designation, this.Salary);
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}
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},
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function(key, values) {
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return Array.sum(values);
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},
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{ out: "total_salary_wayne" }
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);
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```
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5. Return total count for “State=Maharashtra”
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```mongodb
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db.Employee.mapReduce(
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function() {
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this.Address.forEach(function(addr) {
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if (addr.LAddr === "Maharashtra") {
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emit("Maharashtra", 1);
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}
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});
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},
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function(key, values) {
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return Array.sum(values);
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},
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{ out: "count_state_maharashtra" }
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);
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```
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6. Return Count for State Telangana and Age greater than 40.
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```mongodb
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db.Employee.mapReduce(
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function() {
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if (this.Age > 40) {
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this.Address.forEach(function(addr) {
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if (addr.LAddr === "Telangana") {
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emit("Telangana_Age_Above_40", 1);
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}
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});
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}
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},
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function(key, values) {
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return Array.sum(values);
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},
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{ out: "count_telangana_age_above_40" }
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);
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```
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