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nosqlbench-828 nosqlbench-824

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This commit is contained in:
Jonathan Shook 2022-12-07 14:30:04 -06:00
parent 97cf9a32cb
commit 7737ffc0f9
2 changed files with 1 additions and 33 deletions
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9
virtdata-lib-basics/src/main/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_long/TriangularStepFunction.java
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@ -47,7 +47,7 @@ public class TriangularStepFunction implements LongUnaryOperator {
private final long variance;
@Example({"TriangularStepFunction(100,20)","Create a sequence of values where the average and median is 100, but the range of values is between 90 and 120."})
@Example({"TriangularStepFunction(100,20)","Create a sequence of values where the average and median is 100, but the range of values is between 80 and 120."})
@Example({"TriangularStepFunction(80,10)","Create a sequence of values where the average and median is 80, but the range of values is between 70 and 90."})
TriangularStepFunction(long average, long variance) {
if (variance < 0 || variance > average) {
@ -63,9 +63,6 @@ public class TriangularStepFunction implements LongUnaryOperator {
TriangularStepFunction(long average) {
this(average, average/2);
// if (maxOffset>=avgsize) {
// throw new RuntimeException("max offset " + maxOffset + " has to be less than avg size " + avgsize);
// }
}
@Override
@ -85,10 +82,6 @@ public class TriangularStepFunction implements LongUnaryOperator {
return result;
}
public long inlined(long operand) {
return (operand < operand - operand % median + sizer.applyAsLong(operand - operand % median)) ? operand / median : operand / median + 1;
}
@Override
public String toString() {
return this.getClass().getSimpleName()+"{median="+median+",variance="+variance+"}";

25
virtdata-lib-basics/src/test/java/io/nosqlbench/virtdata/library/basics/shared/from_long/to_long/TriangularStepFunctionTest.java
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@ -48,30 +48,6 @@ public class TriangularStepFunctionTest {
assertThat(IntStream.of(runLengths).max().orElseThrow()).isEqualTo(90L);
}
@Test
public void testStepSlice() {
int avgsize=10;
TriangularStepFunction f = new TriangularStepFunction(avgsize);
int[] ary = new int[avgsize*2];
long current=0L;
int count=0;
for (int i = 0; i < 10000; i++) {
long result = f.applyAsLong(i);
if (result==current) {
count++;
} else {
ary[count]++;
current=result;
count=0;
}
}
for (int i = 0; i < ary.length; i++) {
System.out.println("bucket " + i + ", count " + ary[i]);
}
}
@Test
public void testIncrementalVariance() {
TriangularStepFunction f = new TriangularStepFunction(100, 0);
@ -141,6 +117,5 @@ public class TriangularStepFunctionTest {
stats.accept(count);
}
return stats;
}
}