Real vs Double Precision in PostgreSQL: Key Differences and Usage
real is a 4-byte floating-point type with about 6 decimal digits precision, while double precision is an 8-byte type offering about 15 decimal digits precision. Use real for less precise, smaller storage needs and double precision when higher accuracy is required.Quick Comparison
This table summarizes the main differences between real and double precision types in PostgreSQL.
| Feature | real | double precision |
|---|---|---|
| Storage Size | 4 bytes | 8 bytes |
| Precision | Approx. 6 decimal digits | Approx. 15 decimal digits |
| Range | ±1.18e-38 to ±3.4e+38 | ±2.23e-308 to ±1.79e+308 |
| Use Case | Less precise calculations, saves space | High precision calculations |
| Performance | Faster due to smaller size | Slightly slower but more accurate |
| SQL Alias | float4 | float8 |
Key Differences
The real type in PostgreSQL is a single precision floating-point number that uses 4 bytes of storage. It provides about 6 digits of decimal precision, which is enough for many applications where exact precision is not critical. Because it uses less storage, it can be faster for some operations and saves disk space.
On the other hand, double precision uses 8 bytes and offers roughly 15 digits of decimal precision. This makes it suitable for scientific calculations, financial data, or any use case where accuracy is important. The trade-off is that it requires more storage and can be slightly slower to process.
Both types follow the IEEE 754 standard for floating-point arithmetic, but double precision reduces rounding errors and increases the range of representable numbers compared to real. Choosing between them depends on your need for precision versus storage and speed.
Code Comparison
Here is how you declare and insert values using the real type in PostgreSQL.
CREATE TABLE real_example ( value real ); INSERT INTO real_example (value) VALUES (123.456789); SELECT value, value::text FROM real_example;
Double Precision Equivalent
This example shows the same operation using double precision for higher accuracy.
CREATE TABLE double_example ( value double precision ); INSERT INTO double_example (value) VALUES (123.4567890123456789); SELECT value, value::text FROM double_example;
When to Use Which
Choose real when you need to save storage space and your application can tolerate some rounding errors, such as in graphics or simple measurements. It is also useful when performance is a priority and precision is less critical.
Choose double precision when your calculations require high accuracy, such as in scientific computations, financial data, or when working with very large or very small numbers. It ensures less rounding error and a wider range of values.
Key Takeaways
real uses 4 bytes and offers about 6 digits precision, suitable for less precise needs.double precision uses 8 bytes and offers about 15 digits precision for accurate calculations.real to save space and improve speed when precision is not critical.double precision for scientific, financial, or high-accuracy applications.