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https://github.com/walidabazo/learn-mongodb-in-1-hour

Like any other database management language, MongoDB is based on a NoSQL database that is used for storing data in a key-value pair. Its work is based on the concept of document and collection. It is also an open-source, document-oriented, cross-platform database system that is written using C++.
https://github.com/walidabazo/learn-mongodb-in-1-hour

mongodb mongodb-database mongoose-schema mongoshell nodejs nosql-database

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Like any other database management language, MongoDB is based on a NoSQL database that is used for storing data in a key-value pair. Its work is based on the concept of document and collection. It is also an open-source, document-oriented, cross-platform database system that is written using C++.

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# Learn-MongoDB-in-1-Hour

Like any other database management language, MongoDB is based on a NoSQL database that is used for storing data in a key-value pair. Its work is based on the concept of document and collection. It is also an open-source, document-oriented, cross-platform database system that is written using C++. 



[![Watch the video](https://img.youtube.com/vi/iLcJZ1QdE-E/0.jpg)](https://youtu.be/iLcJZ1QdE-E)



# what main Collections ?

Collections can be defined as a cluster of MongoDB documents that exist within a single database. You can relate this to that of a table in a relational database management system. MongoDB collections do not implement the concept of schema. Documents that have collections usually contain different fields. Typically, all the documents residing within a collection are meant for a comparable or related purpose.



# what main document?

A document can be defined as a collection of key-value pairs that contain dynamic schema. Dynamic schema is something that documents of equal collection do not require for having the same collection of fields or construction, and a common field is capable of holding various types of data.



# Learning 



## MongoDB tutorial for beginners

        - MongoDB Overview

        - MongoDB installation 

        - MongoShell installation

        - Set Environment variable PATH

        - VSCode with Mongosh

        - Database creation and drop



## insert

         db.staff.insertOne(

         {

          name:"walid",

          age:40,

          Fulltime:false,

          ReguisterDate:new Date(),

          BirthDate:New Date(1984-8-2),

          Corses:["ASP.NET","C#","MS SQl server"],

          Address{street:"4 st.",City:"cairo",zipcode:123456}

          })

## data types

## Sorting and limiting



        db.staff.find()

        db.staff.find().sort({name:1})

        db.staff.find().sort({name:-1})



        db.staff.find().sort({age:1})

        db.staff.find().sort({age:-1})



        db.staff.find().limit(1)

        db.staff.find().limit(3)



        db.staff.find().sort({age1}),limit(1)

        db.staff.find().sort({age:-1}),limit(1)

        

## find

        get all 

        db.staff.find() 



       db.staff.find({name: "adam"})

       db.staff.find({age: 25})

       db.staff.find({FullTime: false})



       .find({query},{Projection})



       db.staff.find({age: 40}, {FullTime: false})



       db.staff.find({}, {name: true})

       db.staff.find({}, {_id: false, name: true})

       db.staff.find({}, {_id: false, name: true, age: true})



## update

      db.staff.find()

       - updateOne()

      db.staff.updateOne({name:"adam"}, {$set:{FullTime:true}})

      db.staff.updateOne({name:"adam"}, {$unset:{FullTime:""}})



      updateMany()

      db.staff.updateMany({}, {$set:{FullTime:true}})

      db.staff.updateMany({FullTime:{$exists:false}}, {$set:{FullTime:true}})

      

## Delete and import-export db

      db.staff.deleteOne({name:"adam"})

      db.staff.deleteMany({Fulltime:false})

      db.staff.deleteMany({RegisterDate:{$exists:false}})

      

## comparison operators

        $eq : Values are equal.

        $ne : Values are not equal.

        $lt : Value is less than another value.

        $lte : Value is less than or equal to another value.

        $gt : Value is greater than another value.

        $gte : Value is greater than or equal to another value.

        $in : Value is matched within an array.

        

## logical operators

       $and: Returns documents where both queries match

       $or: Returns documents where either query matches

       $nor: Returns documents where both queries fail to match

       $not: Returns documents where the query does not match

       

## indexes

## collections