SQL databases provide multiple date types, but developers often misuse them or underestimate timezone complexities. This guide covers key types and best practices to keep your date logic clean and reliable.
SQL Date Data Types Overview
MySQL
-
DATE
:'YYYY-MM-DD'
-
DATETIME
: Date and time without timezone. -
TIMESTAMP
: Stored in UTC, auto-converts on retrieval.
PostgreSQL
-
TIMESTAMP WITH TIME ZONE
: Prevents timezone-related issues.
SQL Server
-
DATETIMEOFFSET
: Best for timezone-aware data.
Oracle
-
TIMESTAMP WITH LOCAL TIME ZONE
: Handles user session timezone transparently.
Best Practices
- Always store timestamps in UTC.
- Prefer timezone-aware types for global apps.
- Index date columns to speed up range queries.
- Validate date inputs at the database level.
- Use native types, not strings, for all date storage.
FAQ
Convert datetime to date?
MySQL: DATE(datetime_column)
SQL Server: CAST(datetime_column AS DATE)
Get current date?
SELECT CURRENT_DATE;
Filter dates with BETWEEN?
SELECT * FROM logs
WHERE created_at BETWEEN '2025-01-01' AND '2025-06-30';
Format SQL dates?
MySQL: DATE_FORMAT()
PostgreSQL: TO_CHAR()
Conclusion
SQL date types can seem simple, but careful choices make your apps more robust and timezone-safe. Mastering these fundamentals prepares you for more complex use cases like interval arithmetic and timezone conversions. Explore the full SQL Date Data Types guide for deeper insights.
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