INTEGER, BIGINT, and SMALLINT in PostgreSQL
Have you ever stopped to think if using INTEGER for all numeric columns in your database is really the best choice? In PostgreSQL, choosing the wrong data type can mean wasted space or, worse, a critical failure in your system in the future.
In this video, we'll understand the difference between SMALLINT, INTEGER, and BIGINT in a theoretical and straightforward way. I'll show you when to use each one to ensure performance and storage savings.
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What you will learn:
✅ The difference in bytes and value limits for each type.
✅ Why a user's age should not be an INTEGER.
✅ The danger of using INTEGER in log tables or bank transactions.
✅ The "numeric value out of range" error and how to avoid it.
✅ A true story of when a data type error caused a huge disruption in a production system.
Making the right choice early in a project avoids painful migrations and unexpected database downtime.
Video Chapters:
00:00 - Introduction: The risk of choosing the wrong type
00:35 - Differences in space and limits (Bytes)
02:14 - When to use SMALLINT
02:59 - When to use INTEGER
03:32 - When to use BIGINT
04:03 - Why not always use the smallest (or largest) type?
05:13 - Real case: The day the database went down
06:22 - Golden rule in PostgreSQL
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💬 Question of the day: Have you ever encountered a problem with value limits or had to perform a lengthy ALTER TABLE because of it? Tell us in the comments!
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