Hi Jan,

just to note that the benchmark results only measure the case 0.1f. For more general floats, the perf gains might look less impressive (but I didn't check).

Anyway, a fresh name seems to be the less risky solution, if we agree that the problem is widespread enough to justify adding the new fromFloat() factory method.


R



On 2025-01-24 12:11, Jan Kowalski wrote:
Thank you all for your replies!

I'm aware of the workaround (we are using this approach in our project) and the problematic issues with decimal conversions. However, I also think that we should make sure that the behaviour of the code is more predictable. For me and other developers, it might be confusing that values of /new BigDecimal(Float.toString(val))/, and then / BigDecimal.valueOf(double val)/ are different. I'd say that, if it's possible, we should reduce the arithmetic artifacts, rather than introduce them through not really needed, and not visible at the first sight, type conversions.

Unfortunately, I was aware about potential backwards compatibility issues and I was curious what is your opinion on this (I also thought about introducing a factory method like fromFloat to eliminate it, but I'm not sure if it sounds like a good idea). Do you think introducing such change would be beneficial to simplify the code, or rather introduce minor precision improvement, while we still don't have 100% decimal precision?

Also out of curiosity I ran a benchmark on how lack of this constructor impacts performance, and it seems like type conversion makes it around 7 times slower, than direct Float usage

     @Benchmark
     public void oldApiFloat(Blackhole blackhole) {
         for (int i = 0; i < iterations; i++) {
             blackhole.consume(BigDecimal.valueOf(0.1f));
         }
     }

     @Benchmark
     public void newApiFloat(Blackhole blackhole) {
         for (int i = 0; i < iterations; i++) {
             blackhole.consume(valueOf(0.1f));
         }
     }

     public static BigDecimal valueOf(float val) {
         return new BigDecimal(Float.toString(val));
     }


    Benchmark                                     (iterations) Mode  Cnt    Score           Error  Units BigDecimalBenchmark.newApiFloat          1000  thrpt   25  28355,359 ± 502,195  ops/s BigDecimalBenchmark.newApiFloat          2000  thrpt   25  14132,275 ± 206,593  ops/s BigDecimalBenchmark.newApiFloat          5000  thrpt   25   5667,007 ±  71,941  ops/s BigDecimalBenchmark.newApiFloat         10000  thrpt   25   2808,114 ±  32,403  ops/s BigDecimalBenchmark.newApiFloat        100000  thrpt   25    278,405 ± 4,642  ops/s BigDecimalBenchmark.oldApiFloat          1000  thrpt   25   3559,235 ±  40,931  ops/s BigDecimalBenchmark.oldApiFloat          2000  thrpt   25   1782,190 ±  21,805  ops/s BigDecimalBenchmark.oldApiFloat          5000  thrpt   25    712,045 ± 6,495  ops/s BigDecimalBenchmark.oldApiFloat         10000  thrpt   25    355,959 ± 6,006  ops/s BigDecimalBenchmark.oldApiFloat        100000  thrpt   25     36,239 ± 0,423  ops/s

pt., 24 sty 2025 o 00:59 Joseph D. Darcy <joe.da...@oracle.com <mailto:joe.da...@oracle.com>> napisał(a):

    __
    On 1/23/2025 2:35 PM, Remi Forax wrote:
    Hello Jan,
    what you are suggesting is not a backward compatible change.


    There is a source compatibility impact, meaning that for some call
    sites, the mapping of existing code using BigDecimal before and
    after the addition of the overloaded method would change. That
    wouldn't necessarily preclude us from making such a change (and such
    changes have been made in the past), but extra caution and analysis
    would be called for.

    Cheers,

    -Joe



    If we add BigDecimal,valueOf(float), then a program recompiled
    with the new JDK may change its behavior,
    you can think that the new behavior is more "correct" that the
    current one, but changing the behavior of existing programs is
    usually a big NO ! in Java.

    Also, I believe that the reason there is no such factory method
    that takes a float is that doing computations on floats is not
    recommanded, it becomes a mess rapidly of the imprecision of the
    float32 representation, .
    For the same reason, in Java, 2.0 is a double and there is no
    FloatStream while there is a DoubleStream.

    regards,
    Rémi

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