https://github.com/vidhya0501/day36task36_be_mongodb_task_2_vidhya

MongoDB queries to create zen class db and display details based on the requirement.
https://github.com/vidhya0501/day36task36_be_mongodb_task_2_vidhya

backend mongo-compass mongodb mongosh

Last synced: over 1 year ago
JSON representation

MongoDB queries to create zen class db and display details based on the requirement.

• Host: GitHub
• URL: https://github.com/vidhya0501/day36task36_be_mongodb_task_2_vidhya
• Owner: Vidhya0501
• Created: 2024-03-08T06:11:13.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-08T06:18:31.000Z (about 2 years ago)
• Last Synced: 2025-01-12T00:28:06.199Z (over 1 year ago)
• Topics: backend, mongo-compass, mongodb, mongosh
• Homepage:
• Size: 2.18 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
Zen Class DB using MongoDB

1.	Find all the topics and tasks which are thought in the month of October

db.createView( "octoberSession", "topics", [

  {

     $lookup:

        {

           from: "tasks",

           localField: "topic_id",

           foreignField: "topic_id",

           as: "tasksDocs"

        }

  },

  {

     $project:

        {

          _id: 0,

topic_id:1,

task_id:"$tasksDocs.task_id",

Date:1,

topic_name:1,

task_name:"$tasksDocs.task_name"

  }

  },

{ $unwind: "$task_id" },

    { $unwind: "$task_name" }

] )

db.octoberSession.aggregate([{$match:{$expr:{$eq:[{$month:{$dateFromString:{dateString:"$Date", format:"%Y-%m-%d"}}},10]}}}])

2.	Find all the company drives which appeared between 15 oct-2020 and 31-oct-2020

db.company_drives.find({Date:{$gte:"2020-10-15",$lte:"2020-10-31"}})

3.	Find all the company drives and students who are appeared for the placement.

db.createView( "placement1", "company_drives", [

  {

     $lookup:

        {

           from: "users",

           localField: "User_id",

           foreignField: "User_id",

           as: "userDocs"

        }

  },

  {

     $project:

        {

          _id: 0,

          User_id: 1,

          User_name:"$userDocs.Name",

          drive_id: 1,

          Date: 1,

          drive_name:1,

          

        }

  },

     { $unwind:"$User_name" }

] )

db.placement1.find()

 

4.	Find the number of problems solved by the user in codekata

db.codekata.aggregate( [

  {

     $group:

        {

           _id: "$User_id",

           totalProblemsSolved: { $sum:  {$toInt:"$Problems_solved" }} 

        }

  }

] )

5. Find all the mentors with who has the mentee's count more than 15

db.mentors.find({ mentee_count: { $gt: 15 } }).pretty()

6. Find the number of users who are absent and task is not submitted  between 15 oct-2020 and 31-oct-2020

db.attendance.aggregate([

{

	$match:{

		Date:{

			$gte:"2020-10-15", $lte:"2020-10-31"

},

		Status:"Absent"

		}

},

{

	$lookup:{

		from :"tasks",

		localField:"User_id",

		foreignField:"User_id",

		as:"tasksDocs"

		}

},

{

	$match:{

		"tasksDocs.submitted":"false"

		}

},

{

	$group:{

		_id:null,

		count:{$sum:1}

		}

}

])