<i18n dev> [15] RFR: 8244459: Optimize the hash map size in LocaleProviderAdapters

Peter Levart peter.levart at gmail.com
Tue May 5 20:26:52 UTC 2020


There's more...


Guava (and JDK in copy constructor) formula:

     (int) ((float) expectedSize / 0.75f + 1.0f)


is not the same as Naoto's formula:

     (int) (expectedSize / 0.75f) + 1


Notice that Naoto does addition of 1 in integer arithmetic after 
conversion to int, while Guava/JDK does in floating point before 
conversion to int. If I put Naoto's formula into my test program, no 
undercalculations are detected.


So while Naoto's formula is sub-optimal for expectedSizes that are 
multiples of 3, the Guava/JDK also has a bug.


Regards, Peter


On 5/5/20 10:01 PM, Peter Levart wrote:
>
>
> On 5/5/20 9:41 PM, Martin Buchholz wrote:
>> Hi Peter,
>>
>> Are you saying guava has a tiny bug?
>
>
> If it was just 1 too much when expected size is a multiple of 3 then 
> that would not be a bug, just sub-optimal calculation. And the same 
> calculation is performed also in JDK when a copy constructor is called 
> for example.
>
>
> But I investigated further and what I found could be considered a bug. 
> Sometimes, the following expression:
>
>
> (int) ((float) expectedSize / 0.75f + 1.0f)
>
>
> ...calculates a value that is not enough (due to floating point 
> arithmetic and conversion to int) to store the expectedSize elements 
> into the HashMap without re-hashing.
>
>
> What HashMap does with initialCapacity parameter is to round it up to 
> nearest power of 2:
>
>     static int tableSizeFor(int cap) {
>         int n = -1 >>> Integer.numberOfLeadingZeros(cap - 1);
>         return (n < 0) ? 1 : (n >= MAXIMUM_CAPACITY) ? 
> MAXIMUM_CAPACITY : n + 1;
>     }
>
> then it uses this as the initial backing table size. From that table 
> size it calculates the threshold value:
>
>     static int threshold(int cap) {
>         float ft = (float) cap * 0.75f;
>         return (cap < MAXIMUM_CAPACITY && ft < (float) MAXIMUM_CAPACITY ?
>                 (int) ft : Integer.MAX_VALUE);
>     }
>
> ... and uses it as the max. number of elements that a HashMap can hold 
> before it is re-hashed. So I did the following test (comparing the 
> effectiveness of above formula with alternative (expectedSize*4+2)/3 
> formula):
>
>
> public class HMTest {
>     static final int MAXIMUM_CAPACITY = 1 << 30;
>
>     static int tableSizeFor(int cap) {
>         int n = -1 >>> Integer.numberOfLeadingZeros(cap - 1);
>         return (n < 0) ? 1 : (n >= MAXIMUM_CAPACITY) ? 
> MAXIMUM_CAPACITY : n + 1;
>     }
>
>     static int threshold(int cap) {
>         float ft = (float) cap * 0.75f;
>         return (cap < MAXIMUM_CAPACITY && ft < (float) MAXIMUM_CAPACITY ?
>                 (int) ft : Integer.MAX_VALUE);
>     }
>
>     public static void main(String[] args) {
>         for (int expectedSize = 0; expectedSize < (Integer.MAX_VALUE - 
> 2) / 4; expectedSize++) {
>             int cap1 = (int) ((float) expectedSize / 0.75f + 1.0f);
>             int cap2 = (expectedSize * 4 + 2) / 3;
>             int ts1 = tableSizeFor(cap1);
>             int ts2 = tableSizeFor(cap2);
>             int th1 = threshold(ts1);
>             int th2 = threshold(ts2);
>
>             if (th1 < expectedSize || th2 < expectedSize) {
>                 System.out.printf("%d: (%d, %d, %d)%s (%d, %d, %d)%s\n",
>                         expectedSize,
>                         cap1, ts1, th1, (th1 < expectedSize) ? "!" : " ",
>                         cap2, ts2, th2, (th2 < expectedSize) ? "!" : " "
>                 );
>             }
>         }
>     }
> }
>
>
> And what this prints is the following:
>
>
> 25165825: (33554432, 33554432, 25165824)! (33554434, 67108864, 50331648)
> 50331649: (67108864, 67108864, 50331648)! (67108866, 134217728, 
> 100663296)
> 50331650: (67108864, 67108864, 50331648)! (67108867, 134217728, 
> 100663296)
> 100663297: (134217728, 134217728, 100663296)! (134217730, 268435456, 
> 201326592)
> 100663298: (134217728, 134217728, 100663296)! (134217731, 268435456, 
> 201326592)
> 100663299: (134217728, 134217728, 100663296)! (134217732, 268435456, 
> 201326592)
> 100663300: (134217728, 134217728, 100663296)! (134217734, 268435456, 
> 201326592)
> 201326593: (268435456, 268435456, 201326592)! (268435458, 536870912, 
> 402653184)
> 201326594: (268435456, 268435456, 201326592)! (268435459, 536870912, 
> 402653184)
> 201326595: (268435456, 268435456, 201326592)! (268435460, 536870912, 
> 402653184)
> 201326596: (268435456, 268435456, 201326592)! (268435462, 536870912, 
> 402653184)
> 201326597: (268435456, 268435456, 201326592)! (268435463, 536870912, 
> 402653184)
> 201326598: (268435456, 268435456, 201326592)! (268435464, 536870912, 
> 402653184)
> 201326599: (268435456, 268435456, 201326592)! (268435466, 536870912, 
> 402653184)
> 201326600: (268435456, 268435456, 201326592)! (268435467, 536870912, 
> 402653184)
> 402653185: (536870912, 536870912, 402653184)! (536870914, 1073741824, 
> 2147483647)
> 402653186: (536870912, 536870912, 402653184)! (536870915, 1073741824, 
> 2147483647)
> 402653187: (536870912, 536870912, 402653184)! (536870916, 1073741824, 
> 2147483647)
> 402653188: (536870912, 536870912, 402653184)! (536870918, 1073741824, 
> 2147483647)
> 402653189: (536870912, 536870912, 402653184)! (536870919, 1073741824, 
> 2147483647)
> 402653190: (536870912, 536870912, 402653184)! (536870920, 1073741824, 
> 2147483647)
> 402653191: (536870912, 536870912, 402653184)! (536870922, 1073741824, 
> 2147483647)
> 402653192: (536870912, 536870912, 402653184)! (536870923, 1073741824, 
> 2147483647)
> 402653193: (536870912, 536870912, 402653184)! (536870924, 1073741824, 
> 2147483647)
> 402653194: (536870912, 536870912, 402653184)! (536870926, 1073741824, 
> 2147483647)
> 402653195: (536870912, 536870912, 402653184)! (536870927, 1073741824, 
> 2147483647)
> 402653196: (536870912, 536870912, 402653184)! (536870928, 1073741824, 
> 2147483647)
> 402653197: (536870912, 536870912, 402653184)! (536870930, 1073741824, 
> 2147483647)
> 402653198: (536870912, 536870912, 402653184)! (536870931, 1073741824, 
> 2147483647)
> 402653199: (536870912, 536870912, 402653184)! (536870932, 1073741824, 
> 2147483647)
> 402653200: (536870912, 536870912, 402653184)! (536870934, 1073741824, 
> 2147483647)
>
>
> So as you see, for expectedSize < (Integer.MAX_VALUE - 2) / 4 (where 
> the alternative formula does not experience overflow and is enough for 
> Naoto's case) all miscalculations are due to the JDK/Guava formula 
> which in those cases calculates a value that is less than alternative 
> formula's value and too small to adequately pre-size the HashMap table.
>
>
> Voila, we have some bugs to fix or I am doing something wrong here.
>
>
> Regards, Peter
>
>
>>
>> On Tue, May 5, 2020 at 12:12 PM Peter Levart <peter.levart at gmail.com 
>> <mailto:peter.levart at gmail.com>> wrote:
>>
>>     Hi Martin,
>>
>>     On 5/5/20 8:26 PM, Martin Buchholz wrote:
>>>     See related:
>>>     https://guava.dev/releases/23.0/api/docs/com/google/common/collect/Maps.html#newHashMapWithExpectedSize-int-
>>
>>
>>     This is basically the same calculation (or at least gives same
>>     result) as Naoto did (without the max part):
>>
>>     Naoto: (int)(expectedSize / 0.75f) + 1
>>
>>     Guava: (int) ((float) expectedSize / 0.75F + 1.0F)
>>
>>     but in case expectedSize is a multiple of 3, it gives the result
>>     which is 1 more than needed. If what is needed is also a power of
>>     2, then twice the needed space is allocated in the HashMap
>>     backing table.
>>
>>
>>     Regards, Peter
>>
>>
>>>
>>>     On Tue, May 5, 2020 at 11:03 AM <naoto.sato at oracle.com
>>>     <mailto:naoto.sato at oracle.com>> wrote:
>>>
>>>         And here is the fix. Please review.
>>>
>>>         http://cr.openjdk.java.net/~naoto/8244459/webrev.00/
>>>
>>>         Naoto
>>>
>>>         On 5/5/20 10:25 AM, naoto.sato at oracle.com
>>>         <mailto:naoto.sato at oracle.com> wrote:
>>>         > Hi Peter,
>>>         >
>>>         > You are correct. Thanks. I'll remove that initial value of 16.
>>>         >
>>>         > Naoto
>>>         >
>>>         > On 5/5/20 9:37 AM, Peter Levart wrote:
>>>         >> Hi Naoto,
>>>         >>
>>>         >> On 4/30/20 12:18 AM, naoto.sato at oracle.com
>>>         <mailto:naoto.sato at oracle.com> wrote:
>>>         >>> Hello,
>>>         >>>
>>>         >>> Please review this small fix to the following issue:
>>>         >>>
>>>         >>> https://bugs.openjdk.java.net/browse/JDK-8244152
>>>         >>>
>>>         >>> The proposed changeset is located at:
>>>         >>>
>>>         >>> https://cr.openjdk.java.net/~naoto/8244152/webrev.00/
>>>         >>>
>>>         >>> The hash map used there didn't have initial capacity,
>>>         even though the
>>>         >>> exact numbers are known.
>>>         >>
>>>         >>
>>>         >> Well, it has to be calculated 1st (countTokens), but I
>>>         guess this pays
>>>         >> off when HashSet (the backing HashMap) does not have to
>>>         be rehashed then.
>>>         >>
>>>         >> The expression you use:
>>>         >>
>>>         >>      Math.max((int)(tokens.countTokens() / 0.75f) + 1, 16)
>>>         >>
>>>         >> ...has a minimum value of 16. Why is that? 16 is just
>>>         HashMap's
>>>         >> default initialCapacity if not specified explicitly. But
>>>         if you only
>>>         >> want to store say 1 entry in the map, you can specify 2 as
>>>         >> initialCapacity and HashMap will happily work for such
>>>         case without
>>>         >> resizing.
>>>         >>
>>>         >>
>>>         >> So you could just use:
>>>         >>
>>>         >>      (int)(tokens.countTokens() / 0.75f) + 1
>>>         >>
>>>         >> And even this expression is sometimes overshooting the
>>>         minimal
>>>         >> required value by 1 (when # of tokens is "exact" multiple
>>>         of 0.75f,
>>>         >> say 6). I think the following could be used to optimally
>>>         pre-size the
>>>         >> HashMap with default load factor 0.75:
>>>         >>
>>>         >>      (tokens.countTokens() * 4 + 2) / 3
>>>         >>
>>>         >>
>>>         >> Regards, Peter
>>>         >>
>>>         >>>
>>>         >>> Naoto
>>>


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