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[TESTS] Improve BenchmarkIntegrationTest's check that percentiles are increasing. 

Percentiles are supposed to be monotonically increasing but floating-point
rounding issues can come into play and make the test fail if checks are too
strict.
This commit is contained in:
Adrien Grand 2014-05-12 16:34:04 +02:00
parent 78e39882ee
commit caacce9429
1 changed files with 3 additions and 8 deletions
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11
src/test/java/org/elasticsearch/action/bench/BenchmarkIntegrationTest.java
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@ -30,8 +30,6 @@ import org.elasticsearch.test.ElasticsearchIntegrationTest;
import org.junit.Before;
import org.junit.Test;
import java.math.BigDecimal;
import java.math.RoundingMode;
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.TimeUnit;
@ -232,17 +230,14 @@ public class BenchmarkIntegrationTest extends ElasticsearchIntegrationTest {
private void validatePercentiles(Map<Double, Double> percentiles) {
int i = 0;
Double last = null;
double last = Double.NEGATIVE_INFINITY;
for (Map.Entry<Double, Double> entry : percentiles.entrySet()) {
assertThat(entry.getKey(), equalTo(BenchmarkSettings.DEFAULT_PERCENTILES[i++]));
if (last != null) {
assertThat(entry.getValue(), greaterThanOrEqualTo(last));
}
// This is a hedge against rounding errors. Sometimes two adjacent percentile values will
// be nearly equivalent except for some insignificant decimal places. In such cases we
// want the two values to compare as equal.
final BigDecimal bd = new BigDecimal(entry.getValue()).setScale(2, RoundingMode.HALF_DOWN);
last = bd.doubleValue();
assertThat(entry.getValue(), greaterThanOrEqualTo(last - 1e-6));
last = entry.getValue();
}
}