HBASE-6211 Put latencies in jmx (Elliot Clark)

Submitted by:	Elliot Clark
Reviewed by:	Stack, Ted


git-svn-id: https://svn.apache.org/repos/asf/hbase/trunk@1351789 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Zhihong Yu 2012-06-19 18:04:45 +00:00
parent 22f7a385e8
commit c85185a68f
3 changed files with 148 additions and 11 deletions

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@ -30,9 +30,11 @@ import javax.management.MBeanException;
import javax.management.MBeanInfo;
import javax.management.ReflectionException;
import com.yammer.metrics.stats.Snapshot;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.hbase.metrics.histogram.MetricsHistogram;
import org.apache.hadoop.metrics.util.MetricsBase;
import org.apache.hadoop.metrics.util.MetricsDynamicMBeanBase;
import org.apache.hadoop.metrics.util.MetricsRegistry;
@ -106,6 +108,52 @@ public class MetricsMBeanBase extends MetricsDynamicMBeanBase {
"java.lang.String", metric.getDescription(), true, false, false) );
extendedAttributes.put(metric.getName(), metric);
LOG.info("MetricsString added: " + metric.getName());
} else if (metric instanceof MetricsHistogram) {
String metricName = metric.getName() + MetricsHistogram.NUM_OPS_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Long", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.MIN_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Long", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.MAX_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Long", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.MEAN_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Float", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.STD_DEV_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Float", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.MEDIAN_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Float", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.SEVENTY_FIFTH_PERCENTILE_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Float", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.NINETY_FIFTH_PERCENTILE_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Float", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
metricName = metric.getName() + MetricsHistogram.NINETY_NINETH_PERCENTILE_METRIC_NAME;
attributes.add(new MBeanAttributeInfo(metricName,
"java.lang.Float", metric.getDescription(), true, false, false));
extendedAttributes.put(metricName, metric);
}
// else, its probably a hadoop metric already registered. Skip it.
}
@ -150,6 +198,32 @@ public class MetricsMBeanBase extends MetricsDynamicMBeanBase {
return ((MetricsRate) metric).getPreviousIntervalValue();
} else if (metric instanceof MetricsString) {
return ((MetricsString)metric).getValue();
} else if (metric instanceof MetricsHistogram) {
MetricsHistogram hist = (MetricsHistogram) metric;
if (name.endsWith(MetricsHistogram.NUM_OPS_METRIC_NAME)) {
return hist.getCount();
} else if (name.endsWith(MetricsHistogram.MIN_METRIC_NAME)) {
return hist.getMin();
} else if (name.endsWith(MetricsHistogram.MAX_METRIC_NAME)) {
return hist.getMax();
} else if (name.endsWith(MetricsHistogram.MEAN_METRIC_NAME)) {
return (float) hist.getMean();
} else if (name.endsWith(MetricsHistogram.STD_DEV_METRIC_NAME)) {
return (float) hist.getStdDev();
} else if (name.endsWith(MetricsHistogram.MEDIAN_METRIC_NAME)) {
Snapshot s = hist.getSnapshot();
return (float) s.getMedian();
} else if (name.endsWith(MetricsHistogram.SEVENTY_FIFTH_PERCENTILE_METRIC_NAME)) {
Snapshot s = hist.getSnapshot();
return (float) s.get75thPercentile();
} else if (name.endsWith(MetricsHistogram.NINETY_FIFTH_PERCENTILE_METRIC_NAME)) {
Snapshot s = hist.getSnapshot();
return (float) s.get95thPercentile();
} else if (name.endsWith(MetricsHistogram.NINETY_NINETH_PERCENTILE_METRIC_NAME)) {
Snapshot s = hist.getSnapshot();
return (float) s.get99thPercentile();
}
} else {
LOG.warn( String.format("unknown metrics type %s for attribute %s",
metric.getClass().getName(), name) );

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@ -39,6 +39,15 @@ public class MetricsHistogram extends MetricsBase {
// the bias towards sampling from more recent data.
// Per Cormode et al. an alpha of 0.015 strongly biases to the last 5 minutes
private static final double DEFAULT_ALPHA = 0.015;
public static final String NUM_OPS_METRIC_NAME = "_num_ops";
public static final String MIN_METRIC_NAME = "_min";
public static final String MAX_METRIC_NAME = "_max";
public static final String MEAN_METRIC_NAME = "_mean";
public static final String STD_DEV_METRIC_NAME = "_std_dev";
public static final String MEDIAN_METRIC_NAME = "_median";
public static final String SEVENTY_FIFTH_PERCENTILE_METRIC_NAME = "_75th_percentile";
public static final String NINETY_FIFTH_PERCENTILE_METRIC_NAME = "_95th_percentile";
public static final String NINETY_NINETH_PERCENTILE_METRIC_NAME = "_99th_percentile";
/**
* Constructor to create a new histogram metric
@ -212,19 +221,19 @@ public class MetricsHistogram extends MetricsBase {
@Override
public void pushMetric(MetricsRecord mr) {
final Snapshot s = this.getSnapshot();
mr.setMetric(getName() + "_num_ops", this.getCount());
mr.setMetric(getName() + "_min", this.getMin());
mr.setMetric(getName() + "_max", this.getMax());
mr.setMetric(getName() + "_mean", (float) this.getMean());
mr.setMetric(getName() + "_std_dev", (float) this.getStdDev());
mr.setMetric(getName() + "_median", (float) s.getMedian());
mr.setMetric(getName() + "_75th_percentile",
mr.setMetric(getName() + NUM_OPS_METRIC_NAME, this.getCount());
mr.setMetric(getName() + MIN_METRIC_NAME, this.getMin());
mr.setMetric(getName() + MAX_METRIC_NAME, this.getMax());
mr.setMetric(getName() + MEAN_METRIC_NAME, (float) this.getMean());
mr.setMetric(getName() + STD_DEV_METRIC_NAME, (float) this.getStdDev());
mr.setMetric(getName() + MEDIAN_METRIC_NAME, (float) s.getMedian());
mr.setMetric(getName() + SEVENTY_FIFTH_PERCENTILE_METRIC_NAME,
(float) s.get75thPercentile());
mr.setMetric(getName() + "_95th_percentile",
mr.setMetric(getName() + NINETY_FIFTH_PERCENTILE_METRIC_NAME,
(float) s.get95thPercentile());
mr.setMetric(getName() + "_99th_percentile",
mr.setMetric(getName() + NINETY_NINETH_PERCENTILE_METRIC_NAME,
(float) s.get99thPercentile());
}
}

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@ -24,10 +24,15 @@ import java.util.HashMap;
import java.util.List;
import java.util.Map;
import javax.management.AttributeNotFoundException;
import javax.management.MBeanAttributeInfo;
import javax.management.MBeanException;
import javax.management.MBeanInfo;
import javax.management.ReflectionException;
import com.yammer.metrics.stats.Snapshot;
import org.apache.hadoop.hbase.SmallTests;
import org.apache.hadoop.hbase.metrics.histogram.MetricsHistogram;
import org.apache.hadoop.metrics.MetricsContext;
import org.apache.hadoop.metrics.MetricsRecord;
import org.apache.hadoop.metrics.MetricsUtil;
@ -38,6 +43,9 @@ import org.apache.hadoop.metrics.util.MetricsTimeVaryingRate;
import junit.framework.TestCase;
import org.junit.experimental.categories.Category;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;
@Category(SmallTests.class)
public class TestMetricsMBeanBase extends TestCase {
@ -114,6 +122,52 @@ public class TestMetricsMBeanBase extends TestCase {
"varyRateNumOps", "java.lang.Integer", "test");
}
public void testMetricsMBeanBaseHistogram()
throws ReflectionException, AttributeNotFoundException, MBeanException {
MetricsRegistry mr = new MetricsRegistry();
MetricsHistogram histo = mock(MetricsHistogram.class);
Snapshot snap = mock(Snapshot.class);
//Set up the mocks
String histoName = "MockHisto";
when(histo.getName()).thenReturn(histoName);
when(histo.getCount()).thenReturn(20l);
when(histo.getMin()).thenReturn(1l);
when(histo.getMax()).thenReturn(999l);
when(histo.getMean()).thenReturn(500.2);
when(histo.getStdDev()).thenReturn(1.2);
when(histo.getSnapshot()).thenReturn(snap);
when(snap.getMedian()).thenReturn(490.0);
when(snap.get75thPercentile()).thenReturn(550.0);
when(snap.get95thPercentile()).thenReturn(900.0);
when(snap.get99thPercentile()).thenReturn(990.0);
mr.add("myTestHisto", histo);
MetricsMBeanBase mBeanBase = new MetricsMBeanBase(mr, "test");
assertEquals(new Long(20), mBeanBase
.getAttribute(histoName + MetricsHistogram.NUM_OPS_METRIC_NAME));
assertEquals(new Long(1), mBeanBase
.getAttribute(histoName + MetricsHistogram.MIN_METRIC_NAME));
assertEquals(new Long(999), mBeanBase
.getAttribute(histoName + MetricsHistogram.MAX_METRIC_NAME));
assertEquals(new Float(500.2), mBeanBase
.getAttribute(histoName + MetricsHistogram.MEAN_METRIC_NAME));
assertEquals(new Float(1.2), mBeanBase
.getAttribute(histoName + MetricsHistogram.STD_DEV_METRIC_NAME));
assertEquals(new Float(490.0), mBeanBase
.getAttribute(histoName + MetricsHistogram.MEDIAN_METRIC_NAME));
assertEquals(new Float(550.0), mBeanBase
.getAttribute(histoName + MetricsHistogram.SEVENTY_FIFTH_PERCENTILE_METRIC_NAME));
assertEquals(new Float(900.0), mBeanBase
.getAttribute(histoName + MetricsHistogram.NINETY_FIFTH_PERCENTILE_METRIC_NAME));
assertEquals(new Float(990.0), mBeanBase
.getAttribute(histoName + MetricsHistogram.NINETY_NINETH_PERCENTILE_METRIC_NAME));
}
protected void assertAttribute(MBeanAttributeInfo attr, String name,
String type, String description) {