SQL & Databases Masterclass Course
Welcome to the ultimate postgresql tutorial for beginners 2026. Work through interactive sql practice problems with solutions, master our comprehensive sql window functions tutorial modules, and prepare for tough sql interview questions at Google and Amazon entirely in your browser. Claim your course completion XP and build production-ready database mastery today!
SQL Data Types: CAST, CONVERT & Type Guide
Introduction & Core Concept
Every column in a relational database schema holds a strict, predefined datatype (e.g., INTEGER, TEXT, REAL, DATE). However, when ingesting third-party data or legacy files, attributes are frequently imported as the wrong type (such as currency values stored as text strings).
To convert datatypes dynamically on the fly during query compilation, we write a CAST expression:
CAST(column_name AS new_datatype)Common Datatype Casting Transformations
CAST(price_text AS REAL) ➔ Converts string representations into floating-point decimals for mathematical calculations.CAST(id AS TEXT) ➔ Converts numerical indices into text strings for string concatenation.Why & Where We Use It
Real-World Example
ApexBank needs to display interest rates on their online banking portal as beautifully formatted text strings appended with percentage symbols. They cast the numeric interest_rate column to text and concatenate it with '%' .
Best Practices: What to Do & What NOT to Do
CAST(col1 AS REAL) / col2).WHERE clause if possible (e.g., WHERE CAST(id AS TEXT) = '10'). Casting column attributes inside filtering constraints prevents the database engine from utilizing B-Tree index scans!Syntax & Pro Tips
SELECT 'Account: ' || CAST(id AS TEXT) FROM users;