APIs in PHP CI3 -CodeIgniter 3 API Development Tutorial: Learn to Build RESTful APIs

Blogs Overflow Banner

Blogs Overflow help you to creating APIs (Application Programming Interfaces) in CodeIgniter 3 (CI3) involves defining routes, controllers, and handling data appropriately. Here’s a basic guide to creating APIs in CodeIgniter 3 using RESTful principles:

  1. Install CodeIgniter
    Ensure that you have CodeIgniter 3 installed on your server. You can download it from the official website and follow the installation instructions.
  2. Configure Routes:
    Open the application/config/routes.php file and set up routes for your API. For RESTful APIs, you can use the resources method to map HTTP verbs to controller methods.
$route['api/users']['get'] = 'api/users/index';
$route['api/users/(:num)']['get'] = 'api/users/view/$1';
$route['api/users']['post'] = 'api/users/create';
$route['api/users/(:num)']['put'] = 'api/users/update/$1';
$route['api/users/(:num)']['delete'] = 'api/users/delete/$1';

Read more

Enhancing Angular 18 with Fallback Content for ng-content: Differences, Benefits, and Practical Examples

Enhancing Angular 18 with Fallback Content for ng-content: Differences, Benefits, and Practical Examples

Angular 18 introduces fallback content for ng-content, ensuring components always display meaningful content. Learn about the key differences from previous versions, practical use cases, benefits, drawbacks, and robust code examples for a simplified Angular development experience.

Mastering Micro Frontends: A Step-by-Step Guide with Angular – Part 1 (Basic)

Micro front end in angular step by step

Micro Frontend Architecture is a relatively new concept in the world of web development. It is an architectural style that aims to break down large, monolithic frontend applications into smaller, more manageable pieces. This approach allows teams to work independently on different parts of the application, making it easier to scale and maintain.

Why Avoiding Unnormalized Data is Crucial in RDBMS? Top 8 Bad Practice We Must Stop Doing.

Why Avoiding Unnormalized Data is Crucial in RDBMS

Avoiding Unnormalized Data

Overview:
Why Avoiding Unnormalized Data is Crucial in RDBMS? Top 8 Bad Practice We Must Stop Doing. Normalization is a database design technique used to organize data efficiently and reduce redundancy. The goal is to eliminate data anomalies and ensure data integrity. When dealing with unnormalized data, information is duplicated across multiple records, leading to inconsistencies and difficulties in maintaining the database.

Consequences of not avoiding unnormalized data.

  • Data Redundancy: Unnormalized data leads to redundant storage of information, wasting space and making updates error prone.
  • Data Inconsistency: Inconsistencies arise when changes are not propagated consistently across all instances of duplicated data.
  • Increased Complexity: Unnormalized structures make queries and updates more complex, affecting performance and maintainability.

Example SQL Implementation:

1- Bad WayDenormalization with Redundant Columns

-- Bad: Redundant columns storing duplicated data
CREATE TABLE Employees (
    EmployeeID INT PRIMARY KEY,
    EmployeeName VARCHAR(255),
    DepartmentName VARCHAR(255),
    ManagerName VARCHAR(255),
    DepartmentLocation VARCHAR(255)
);

Read more

Don’t miss these tips!

We don’t spam! Read our privacy policy for more info.