Class EnumeratedInts

java.lang.Object
io.nosqlbench.virtdata.library.curves4.discrete.int_int.IntToIntDiscreteCurve
io.nosqlbench.virtdata.library.curves4.discrete.int_int.EnumeratedInts
All Implemented Interfaces:
IntUnaryOperator
public class EnumeratedInts extends IntToIntDiscreteCurve
Create a sampler based on enumeration of integer values an sample over them using the EnumeratedInts distribution curve provided by Apache Commons Math. This version will roughly produce the distribution, but since it also relies on interpolation by default, non-step values may appear at low frequencies. If this is a desired effect, then this function is suitable. For example: consider this result: 

  nb5 run driver=stdout op="{{EnumeratedInts('10:10 20:20 30:30 40:40')}}\n" cycles=10000 | sort -n | uniq -c
       1 STDOUT0 (pending,current,complete)=(0,0,10000) 100.00% (last report)
       1 9
    1036 10
       2 11
       2 13
       1 14
       3 15
       2 16
       1 18
       1 19
    1937 20
       1 21
       1 23
       1 24
       1 25
       1 28
       1 29
    3077 30
       1 31
       1 33
       1 34
       2 35
       1 37
       1 39
    3924 40
The values here which are not multiples of 10 are not specified, yet the appear. For some testing, this is helpful as a fuzzer, but for more precise step-value sampling, see
invalid reference 
AliasSampler

  • Constructor Details

    • EnumeratedInts

      public EnumeratedInts(String data, String... mods)

  • Method Details

    • parseIntLabels

      public static int[] parseIntLabels(String input)

    • parseDoubleWeights

      public static double[] parseDoubleWeights(String input)