This is a step by step Codeigniter 4 AJAX tutorial. In this tutorial, we will learn how to fetch user records in Codeigniter 4 application from MySQL database using AJAX web development technique.
Read more: Build a CRUD Application in Codeigniter with Bootstrap.
Let us understand what and how we are trying to achieve in this tutorial.
We will create a basic CRUD application using the Composer package. Thereafter, we will make the consensus between CI and MySQL. By following the MVC pattern, we ill create a Model. It’s an archetype of database values. Within which we define a simple function that gets all the records from the database.
We will gradually connect all the parts and maintain the concurrent impulse of AJAX web development techniques. Then, we will create two functions inside the Controller and load the view and fetch the records using Model simultaneously.
With gravitas, we will create views and load all the data inside the view and display on the user screen using AJAX in Codeigniter 4.
You must have a composer package installed on your device to install the Codeigniter application.
composer create-project codeigniter4/appstarter
After installing the app, change the name of the folder such as codeigniter-ajax-crud.
Next, get inside the app folder:
You can also manually download the Codeigniter application.
We have to enable the the error reporting by setting
display_errors to 1 instead of 0 in app/Config/Boot/development.php and app/Config/Boot/production.php files.
To maintain the ongoing impulse, you can execute the SQL query from PHPMyAdmin to create the users table.
CREATE TABLE users ( id int(11) NOT NULL AUTO_INCREMENT COMMENT 'Primary Key', name varchar(100) NOT NULL COMMENT 'Name', email varchar(255) NOT NULL COMMENT 'Email Address', PRIMARY KEY (id) ) ENGINE=InnoDB DEFAULT CHARSET=latin1 COMMENT='datatable demo table' AUTO_INCREMENT=1; INSERT INTO `users` (`id`, `name`, `email`) VALUES (1, 'John Doe', 'email@example.com'), (2, 'Vanya Hargreeves', 'firstname.lastname@example.org'), (3, 'Luther Hargreeves', 'email@example.com'), (4, 'Diego Hargreeves', 'firstname.lastname@example.org'), (5, 'Klaus Hargreeves', 'email@example.com'), (6, 'Ben Hargreeves', 'firstname.lastname@example.org'), (7, 'The Handler', 'email@example.com');
Add database name, username and password inside the application/config/database.php.
public $default = [ 'DSN' => '', 'hostname' => 'localhost', 'username' => 'test', 'password' => '4Mu99BhzK8dr4vF1', 'database' => 'demo', 'DBDriver' => 'MySQLi', 'DBPrefix' => '', 'pConnect' => false, 'DBDebug' => (ENVIRONMENT !== 'development'), 'cacheOn' => false, 'cacheDir' => '', 'charset' => 'utf8', 'DBCollat' => 'utf8_general_ci', 'swapPre' => '', 'encrypt' => false, 'compress' => false, 'strictOn' => false, 'failover' => , 'port' => 3306, ];
Unable to connect database : Codeigniter
To fix Codeigniter – cannot connect to MySQL database error, change the hostname based on your local development server e.g MAMPP or XAMPP.
## MAMPP public $default = [ ... 'hostname' => '/Applications/MAMP/tmp/mysql/mysql.sock', ... ] ## XAMPP public $default = [ ... 'hostname' => '/Applications/XAMPP/xamppfiles/var/mysql/mysql.sock', ... ]
Autocomplete textbox search from database in codeigniter 4 using jQuery Typeahead js. In this tutorial, you will learn how to implement an autocomplete search or textbox search with database using jquery typehead js example.
This tutorial will show you step by step how to implement autocomplete search from database in codeigniter 4 app using typeahead js.
#codeigniter 4 ajax autocomplete search #codeigniter 4 ajax autocomplete search from database #autocomplete textbox in jquery example using database in codeigniter #search data from database in codeigniter 4 using ajax #how to search and display data from database in codeigniter 4 using ajax #autocomplete in codeigniter 4 using typeahead js
The pandemic has brought a period of transformation across businesses globally, pushing data and analytics to the forefront of decision making. Starting from enabling advanced data-driven operations to creating intelligent workflows, enterprise leaders have been looking to transform every part of their organisation.
SingleStore is one of the leading companies in the world, offering a unified database to facilitate fast analytics for organisations looking to embrace diverse data and accelerate their innovations. It provides an SQL platform to help companies aggregate, manage, and use the vast trove of data distributed across silos in multiple clouds and on-premise environments.
**Your expertise needed! **Fill up our quick Survey
#featured #data analytics #data warehouse augmentation #database #database management #fast analytics #memsql #modern database #modernising data platforms #one stop shop for data #singlestore #singlestore data analytics #singlestore database #singlestore one stop shop for data #singlestore unified database #sql #sql database
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
Databases store data in a structured form. The structure makes it possible to find and edit data. With their structured structure, databases are used for data management, data storage, data evaluation, and targeted processing of data.
In this sense, data is all information that is to be saved and later reused in various contexts. These can be date and time values, texts, addresses, numbers, but also pictures. The data should be able to be evaluated and processed later.
The amount of data the database could store is limited, so enterprise companies tend to use data warehouses, which are versions for huge streams of data.
#data-warehouse #data-lake #cloud-data-warehouse #what-is-aws-data-lake #data-science #data-analytics #database #big-data #web-monetization
The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management