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Querying Price Ranges in MySQL Without Splitting the Column

Querying Price Ranges in MySQL Without Splitting the Column

When designing a restaurant database, it's common to store a price range—for example, "$8-$4000"—as a single string. It’s simple, user-friendly, and works well for display. However, this structure poses a challenge when you need to filter or sort based on the minimum

SQL vs ORM is Like Plain CSS vs Tailwind CSS: A Developer’s Perspective

SQL vs ORM is Like Plain CSS vs Tailwind CSS: A Developer’s Perspective

In the world of web development, developers often debate between SQL vs ORM and plain CSS vs Tailwind CSS. While these seem like unrelated topics, they share a similar philosophy: control vs convenience. Understanding the parallels can help developers make informed decisions based on their project needs. The Power of

Understanding SQL Joins: A Comprehensive Guide to Combining Data

Understanding SQL Joins: A Comprehensive Guide to Combining Data

When working with relational databases, SQL joins are essential tools for combining data from multiple tables based on a related column. Joins allow you to create more meaningful queries by linking tables that store data in a structured way. While SQL provides different types of joins, each serves a specific

Understanding DDL and DML in SQL: A Comprehensive Guide

Understanding DDL and DML in SQL: A Comprehensive Guide

When working with SQL, it's essential to understand the distinction between Data Definition Language (DDL) and Data Manipulation Language (DML), as they play different yet complementary roles in database management. In this article, we’ll explore what these two concepts entail, their respective use cases, and additional points

Understanding the Basics of SQL Grouping: A Beginner’s Guide

Understanding the Basics of SQL Grouping: A Beginner’s Guide

When working with databases, one of the most common tasks is to summarize or organize data. SQL’s GROUP BY clause is an essential tool for this. In this article, we’ll break down a simple query: SELECT department FROM companies GROUP BY department; This query might look straightforward, but

Understanding FIND_IN_SET in MySQL: The Key to Searching Comma-Separated Values

Understanding FIND_IN_SET in MySQL: The Key to Searching Comma-Separated Values

When working with relational databases, data normalization is often recommended. However, there are scenarios where a single column may hold comma-separated values (CSV), typically for legacy systems or specific use cases. MySQL's FIND_IN_SET function is a lifesaver for handling such data. This article explores the usage,

Efficient Data Storage and Querying with MySQL JSON: A Practical Example

Efficient Data Storage and Querying with MySQL JSON: A Practical Example

In modern web applications, flexibility in data storage is paramount. One approach gaining traction is using MySQL's JSON data type, which allows you to store semi-structured data directly in your relational database. Let’s explore its usage through a real-world example and discuss key considerations for an efficient