Practical/Assignment-B1/Queries-B1.md

@@ -206,7 +206,7 @@ db.Employee.find({ Designation: { $in: ["Developer", "Tester"] } })
 
 9. Find all documents with exact match on Expertise array:
 ```mongodb
-db.Employee.find({ Expertise: { $all: ["Cloud", "Microservices"] } })
+db.Employee.find({ Expertise: { $all: ['Mongodb', 'Mysql', 'Cassandra'] } })
 
 ```
 

Practical/Assignment-B2/Queries-B2.md

@@ -1,10 +1,6 @@
-## Queries-B2
+## Queries
 
-### Group A
+### A
-
-> ![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 Designation with Total Salary Above 200000:
 ```mongodb
@@ -21,7 +17,6 @@ db.Employee.aggregate([
         }
     }
 ])
-
 ```
 
 2. Find Employee with Total Salary for Each City with Designation "DBA":
@@ -37,7 +32,6 @@ db.Employee.aggregate([
         }
     }
 ])
-
 ```
 
 3. Find Total Salary of Employee with Designation "DBA" for Each Company:
@@ -53,7 +47,6 @@ db.Employee.aggregate([
         }
     }
 ])
-
 ```
 
 4. Returns Names and _id in Upper Case and in Alphabetical Order:
@@ -69,13 +62,11 @@ db.Employee.aggregate([
         $sort: { Name: 1 }
     }
 ])
-
 ```
 
 5. Count All Records from Collection:
 ```mongodb
 db.Employee.countDocuments()
-
 ```
 
 6. For Each Unique Designation, Find Avg Salary and Output Sorted by AvgSal:
@@ -91,7 +82,6 @@ db.Employee.aggregate([
         $sort: { AvgSalary: 1 }
     }
 ])
-
 ```
 
 7. Return Separate Value in the Expertise Array Where Name of Employee is "Swapnil":
@@ -107,7 +97,6 @@ db.Employee.aggregate([
         $project: { Expertise: 1 }
     }
 ])
-
 ```
 
 8. Return Separate Value in the Expertise Array and Return Sum of Each Element of Array:
@@ -123,7 +112,6 @@ db.Employee.aggregate([
         }
     }
 ])
-
 ```
 
 9. Return Array for Designation Whose Address is "Pune":
@@ -136,7 +124,6 @@ db.Employee.aggregate([
         $project: { Designation: 1 }
     }
 ])
-
 ```
 
 10. Return Max and Min Salary for Each Company:
@@ -150,54 +137,41 @@ db.Employee.aggregate([
         }
     }
 ])
-
 ```
 
-### Group B
+### B
-
-> ![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. Create Single Field Indexes on Designation:
 ```mongodb
 db.Employee.createIndex({ Designation: 1 })
-
 ```
 
 2. Create Compound Indexes on Name and Age:
 ```mongodb
 db.Employee.createIndex({ "Name.FName": 1, Age: -1 })
-
 ```
 
 3. Create Multikey Indexes on Expertise Array:
 ```mongodb
 db.Employee.createIndex({ Expertise: 1 })
-
 ```
 
 4. Return a List of All Indexes on Collection:
 ```mongodb
 db.Employee.getIndexes()
-
 ```
 
 5. Rebuild Indexes:
 ```mongodb
 db.Employee.reIndex()
-
 ```
 
 6. Drop Index on Remove Specific Index:
 ```mongodb
 db.Employee.dropIndex("empIndex") 
-
 ```
 
 7. Remove All Indexes Except for the _id Index from a Collection:
 ```mongodb
 db.Employee.dropIndexes()
-
 ```