Learn MongoDB in 1 Hour

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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++.

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