More Double Troubles

We saw in a previous entry how one has to be careful with Double.NaN. Today we will see how regular double can cause problems. By the way the NaN issue was not Java specific and this issue is also general in different programming languages.

A coworker was shocked that in Java (I was a bit surprised he saw that only today, but it is true it can be surprising that such a simple thing does not work as expected):

408.16 - 40.82 = 367.34000000000003
In C, this would lead to the same result. This is all due to the binary represention of double numbers. Using the formula 2^(exponent)*1.mantissa where mantissa is on 52 bits, we have

408.16 decomposition:
40.82 decomposition:
The difference in decimal becomes 367.34000000000002472… which becomes 367.34000000000003 when represented in binary (to convince yourself you can apply the same technique).

The Solution

One solution to this problem is to use java.math.BigDecimal which stores a number as 2 integers, one for the digits, one for the exponent power of 10 (and not 2).
The correct code would become:

BigDecimal value = BigDecimal.valueOf(408.16).subtract(BigDecimal.valueOf(40.82));


value would then be 367.34.

But BigDecimal has also many potential for bugs. For example, you should never use the constructor taking a double but always the one taking a String.

new BigDecimal(408.16) = 408.16000000000002501110429875552654266357421875

This is because of the binary representation of 408.16 as a double. 408.16 is only an approximation of 408.16!

Another trick with BigDecimal is not to use equals(Object) but compareTo(Object) because 408.160 is not equal to 408.16 using equals.

Why Could not They Make it Work With Double?

If you were too lazy to follow the steps of the explanation. There is a simpler explanation. Imagine the representation of a number in base 3 with 2 “digits”. Let’s imagine 13 is represented as 0.1 (this is a very simple number representation) 13+13+13 becomes 0.1+0.1+0.1 = 1.0 (in base 3) = 1.0 if we convert to base 10. Now in base 10, 13 can only be represented as 0.3, so 13+13+13 = 0.3+0.3+0.3 = 0.9 <> 1.0.
So BigDecimal is only interesting to handle … decimals! In the enterprise world, this should be most apps. It is a bit sad it appeared so late in the JDK. It should really be a primitive type.

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© 2006-16 Fabien Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.