Skip to content

scaleracademy/bookmyshow

Repository files navigation

Machine Coding

Requirements Gathering, Clarifying Questions

  1. Basic problem and fundamental requirements
  2. Generalize the design & ask questions about that
  3. Future Scope

E-R Diagram

  1. Entities
    • attributes
    • behavior
  2. Relationships
    • cardinality
    • generalization (is-a)
    • association (has-a)
      • aggregation (no-ownership)
      • composition (ownership)

Coding

  1. Clean Architecture - way/guideline for structuring and building your code
  2. Your directory structure / code structure should tell you exactly what you're building
  3. A good architecture allows you to delay the important decisions to as late as possible

Central thing of our problem statement

  • Entities, Relations b/w the entities & business logic

  • Are we knowledgeable enough to decide exactly what DB we should use?

  • Are we knowledgeable enough to decide exactly framework we should use?

    • web
      • http
      • websockets
    • commandline
    • desktop application
    • android app
  1. Code the entities & relations & business logic (Domain)
  2. Usecases
    • user logging in / logging out / updating profile
    • ticket booking / cancel
  3. How to interact with the outside world?
    • webserver
    • command line interface
  4. Frameworks / libraries

User should be minimal

  • users can be of multiple types
  • customer / employees / partnerships
  • we don't want to put private/profile information in the user object
  • have ONLY the authentication & autorization info in the User
  • authentication: checking if the user is the person who they claim to be
    • username (maybe your phone/email/string)
    • password
  • authorization: does the user have the required permissions/authority
    • Role Based Authorization Control (RBAC)
      • roles: instructor, mentor, admin
      • privileges: add a new lecture / shift a lecture / message any mentee / view someones resume

Enum vs Entity

  • enums are good for static analysis and for code
  • drawback: add / remove an option, you have to make a code change!

Best Practices around password storage

  • https://github.com/plaintextoffenders/plaintextoffenders/blob/master/offenders.csv

  • password must be b/w 8 .. 20 chars: varchar(20)

  • hashing & salting your password

  • Ashish - "Prashant"

  • Hash(Prashant) => shfsduhf => database

  • Hash(Prashant) => shfsduhf => does this match the value in my db?

  • if Ashish and Aakash had the same password -> qwerty, password1, abcdefgh, zaqwsx

  • hash(qwerty) => kjdbfsf

  • hash(qwerty) => kjdbfsf

  • dictionary of commonly used password -> hash => rainbow table attack

  • Ashish => ;sdf;sduf

  • Aakash => poqjojesf

  • hash(password+salt)

  • hash(qwerty;sdf;sduf) => wbf;ewbf;owe, ;sdf;sduf

  • hash(qwerypoqjojesf) => sdbf;sdkbf;n, poqjojesf


Encoding:

  • Representing information in some or another manner
  • Image -> jpeg, png, gif, svg, bmp, raw --------lossy----------- --lossless--
  • Audio -> mp3, wav, au3, wmv, aac, mp4
  • Text -> base64, ASCII, utf-8, unicode
  • Numbers -> hex, binary

Encryption:

  • Making the information garbage for everyone except the authorized/intended reader
  • If you don't have the "key" -> you can't make sense of the info
  • If you do have the "key" -> you can easily reverse the encryption and get the plaintext back

Symmetric Key Cryptography: same key for locking an unlocking

  • Ceaser / AES / DES Assymteric/Public Key Cryptogrpahy: 1 key to lock and a different key to unlock
  • RSA

Hashing:

  • Compressing the information in a lossy manner
  • Making the information random
  • a single bit change to the file contents will completely change the hash
  • it IMPOSSIBLE to go back from the has to the plaintext
  • MD5, BCrypt, SHA
  • do NOT use MD5

UUID Long -> Auto-generated monotonic

Scaler.com Google.com / IBM / Oracle you architect some software today

Integer -> 32bit integers (4 bytes) -2^31 .. 2^31 - 1 (signed) 0 .. 2^32 - 1 (unsigned) 2^32 ~ 4 billion Number of people in the world? 7-8 billion Number of devices? Trillions

String -> not a good idea. Take up a lot of space, comparisons are slow rtl/ltr, ascii/unicode

Auto Base64 string - X ObjectId - X


// Uber

enum Color {
    GREEN,
    ..
}

class Car {
    String licensePlate;
    String model;
    String color; // arbitrary?
    // turquoise blue
    // brick red
    // mauve
    // hooloovoo
}

public enum Role {
    ADMIN,
    CUSTOMER,
    PaidCustomer, // run the test, make the pull request // reviewed // merged // qa // staging server // AB-tested on 5% of production // public
    PARTNERSHIP
}

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages