Additional Notes
When to avoid BigDecimal for performance?
Track: Java
Topic: Core Java
Focus: BigDecimal and Money
Java: BigDecimal and Money
Answer
In high-frequency low-precision scenarios.
BigDecimal is slower than primitive types, so in scenarios needing high-frequency calculations with low precision, like graphics or non-financial simulations, primitives might be more suitable. For example, if calculations are large-scale and millisecond-sensitive but don't require precision, float or double may be preferred despite their precision limitations.
BigDecimal is slower than primitive types, so in scenarios needing high-frequency calculations with low precision, like graphics or non-financial simulations, primitives might be more suitable. For example, if calculations are large-scale and millisecond-sensitive but don't require precision, float or double may be preferred despite their precision limitations.
Topics: BigDecimal and Money Core Java Java