HADOOP-8052. Hadoop Metrics2 should emit Float.MAX_VALUE (instead of Double.MAX_VALUE) to avoid making Ganglia's gmetad core. Contributed by Varun Kapoor.
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1243207 13f79535-47bb-0310-9956-ffa450edef68
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@ -176,7 +176,11 @@ Release 0.23.2 - UNRELEASED
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HADOOP-8051 HttpFS documentation it is not wired to the generated site (tucu)
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HADOOP-8055. Hadoop tarball distribution lacks a core-site.xml (harsh)
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HADOOP-8055. Hadoop tarball distribution lacks a core-site.xml (harsh)
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HADOOP-8052. Hadoop Metrics2 should emit Float.MAX_VALUE (instead of
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Double.MAX_VALUE) to avoid making Ganglia's gmetad core. (Varun Kapoor
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via mattf)
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Release 0.23.1 - 2012-02-08
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@ -143,8 +143,16 @@ public class SampleStat {
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@SuppressWarnings("PublicInnerClass")
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public static class MinMax {
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private double min = Double.MAX_VALUE;
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private double max = Double.MIN_VALUE;
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// Float.MAX_VALUE is used rather than Double.MAX_VALUE, even though the
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// min and max variables are of type double.
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// Float.MAX_VALUE is big enough, and using Double.MAX_VALUE makes
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// Ganglia core due to buffer overflow.
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// The same reasoning applies to the MIN_VALUE counterparts.
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static final double DEFAULT_MIN_VALUE = Float.MAX_VALUE;
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static final double DEFAULT_MAX_VALUE = Float.MIN_VALUE;
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private double min = DEFAULT_MIN_VALUE;
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private double max = DEFAULT_MAX_VALUE;
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public void add(double value) {
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if (value > max) max = value;
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@ -155,8 +163,8 @@ public class SampleStat {
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public double max() { return max; }
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public void reset() {
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min = Double.MAX_VALUE;
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max = Double.MIN_VALUE;
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min = DEFAULT_MIN_VALUE;
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max = DEFAULT_MAX_VALUE;
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}
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public void reset(MinMax other) {
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@ -36,8 +36,8 @@ public class TestSampleStat {
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assertEquals("mean", 0.0, stat.mean(), EPSILON);
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assertEquals("variance", 0.0, stat.variance(), EPSILON);
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assertEquals("stddev", 0.0, stat.stddev(), EPSILON);
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assertEquals("min", Double.MAX_VALUE, stat.min(), EPSILON);
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assertEquals("max", Double.MIN_VALUE, stat.max(), EPSILON);
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assertEquals("min", SampleStat.MinMax.DEFAULT_MIN_VALUE, stat.min(), EPSILON);
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assertEquals("max", SampleStat.MinMax.DEFAULT_MAX_VALUE, stat.max(), EPSILON);
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stat.add(3);
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assertEquals("num samples", 1L, stat.numSamples());
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@ -60,8 +60,8 @@ public class TestSampleStat {
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assertEquals("mean", 0.0, stat.mean(), EPSILON);
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assertEquals("variance", 0.0, stat.variance(), EPSILON);
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assertEquals("stddev", 0.0, stat.stddev(), EPSILON);
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assertEquals("min", Double.MAX_VALUE, stat.min(), EPSILON);
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assertEquals("max", Double.MIN_VALUE, stat.max(), EPSILON);
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assertEquals("min", SampleStat.MinMax.DEFAULT_MIN_VALUE, stat.min(), EPSILON);
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assertEquals("max", SampleStat.MinMax.DEFAULT_MAX_VALUE, stat.max(), EPSILON);
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}
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}
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