From 9a0ec431bb80c06cdef972d5f72fe3fc52944eb1 Mon Sep 17 00:00:00 2001
From: Kshitij <kshitijk@tuta.io>
Date: Thu, 17 Oct 2024 19:49:03 +0530
Subject: [PATCH] Added new line in each code block to automatically execute on
 copy.

---
 Practical/Assignment-B2/Queries-B2.md | 34 +++++++++++++++++++++++----
 1 file changed, 30 insertions(+), 4 deletions(-)

diff --git a/Practical/Assignment-B2/Queries-B2.md b/Practical/Assignment-B2/Queries-B2.md
index 7e2995a..9c630ea 100755
--- a/Practical/Assignment-B2/Queries-B2.md
+++ b/Practical/Assignment-B2/Queries-B2.md
@@ -1,6 +1,10 @@
-## Queries
+## Queries-B2
 
-### A
+### Group 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
@@ -17,6 +21,7 @@ db.Employee.aggregate([
         }
     }
 ])
+
 ```
 
 2. Find Employee with Total Salary for Each City with Designation "DBA":
@@ -32,6 +37,7 @@ db.Employee.aggregate([
         }
     }
 ])
+
 ```
 
 3. Find Total Salary of Employee with Designation "DBA" for Each Company:
@@ -47,6 +53,7 @@ db.Employee.aggregate([
         }
     }
 ])
+
 ```
 
 4. Returns Names and _id in Upper Case and in Alphabetical Order:
@@ -62,11 +69,13 @@ 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:
@@ -82,6 +91,7 @@ db.Employee.aggregate([
         $sort: { AvgSalary: 1 }
     }
 ])
+
 ```
 
 7. Return Separate Value in the Expertise Array Where Name of Employee is "Swapnil":
@@ -97,6 +107,7 @@ db.Employee.aggregate([
         $project: { Expertise: 1 }
     }
 ])
+
 ```
 
 8. Return Separate Value in the Expertise Array and Return Sum of Each Element of Array:
@@ -112,6 +123,7 @@ db.Employee.aggregate([
         }
     }
 ])
+
 ```
 
 9. Return Array for Designation Whose Address is "Pune":
@@ -124,6 +136,7 @@ db.Employee.aggregate([
         $project: { Designation: 1 }
     }
 ])
+
 ```
 
 10. Return Max and Min Salary for Each Company:
@@ -137,41 +150,54 @@ db.Employee.aggregate([
         }
     }
 ])
+
 ```
 
-### B
+### Group 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") 
+db.Employee.dropIndex("empIndex")
+
 ```
 
 7. Remove All Indexes Except for the _id Index from a Collection:
 ```mongodb
 db.Employee.dropIndexes()
+
 ```