本文整理匯總了Java中com.codahale.metrics.Snapshot.size方法的典型用法代碼示例。如果您正苦於以下問題:Java Snapshot.size方法的具體用法?Java Snapshot.size怎麽用?Java Snapshot.size使用的例子?那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類com.codahale.metrics.Snapshot
的用法示例。
在下文中一共展示了Snapshot.size方法的7個代碼示例,這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚,您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: processTimer
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
/**
* The {@link Snapshot} values of {@link Timer} are reported as {@link StatisticSet} after conversion. The
* conversion is done using the duration factor, which is deduced from the set duration unit.
* <p>
* Please note, the reported values submitted only if they show some data (greater than zero) in order to:
* <p>
* 1. save some money
* 2. prevent com.amazonaws.services.cloudwatch.model.InvalidParameterValueException if empty {@link Snapshot}
* is submitted
* <p>
* If {@link Builder#withZeroValuesSubmission()} is {@code true}, then all values will be submitted
*
* @see Timer#getSnapshot
* @see #getDurationUnit
* @see #convertDuration(double)
*/
private void processTimer(final String metricName, final Timer timer, final List<MetricDatum> metricData) {
final Snapshot snapshot = timer.getSnapshot();
if (builder.withZeroValuesSubmission || snapshot.size() > 0) {
for (final Percentile percentile : builder.percentiles) {
final double convertedDuration = convertDuration(snapshot.getValue(percentile.getQuantile()));
stageMetricDatum(true, metricName, convertedDuration, durationUnit, percentile.getDesc(), metricData);
}
}
// prevent empty snapshot from causing InvalidParameterValueException
if (snapshot.size() > 0) {
final String formattedDuration = String.format(" [in-%s]", getDurationUnit());
stageMetricDatum(builder.withArithmeticMean, metricName, convertDuration(snapshot.getMean()), durationUnit, DIMENSION_SNAPSHOT_MEAN + formattedDuration, metricData);
stageMetricDatum(builder.withStdDev, metricName, convertDuration(snapshot.getStdDev()), durationUnit, DIMENSION_SNAPSHOT_STD_DEV + formattedDuration, metricData);
stageMetricDatumWithConvertedSnapshot(builder.withStatisticSet, metricName, snapshot, durationUnit, metricData);
}
}
開發者ID:azagniotov,項目名稱:codahale-aggregated-metrics-cloudwatch-reporter,代碼行數:35,代碼來源:CloudWatchReporter.java
示例2: processHistogram
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
/**
* The {@link Snapshot} values of {@link Histogram} are reported as {@link StatisticSet} raw. In other words, the
* conversion using the duration factor does NOT apply.
* <p>
* Please note, the reported values submitted only if they show some data (greater than zero) in order to:
* <p>
* 1. save some money
* 2. prevent com.amazonaws.services.cloudwatch.model.InvalidParameterValueException if empty {@link Snapshot}
* is submitted
* <p>
* If {@link Builder#withZeroValuesSubmission()} is {@code true}, then all values will be submitted
*
* @see Histogram#getSnapshot
*/
private void processHistogram(final String metricName, final Histogram histogram, final List<MetricDatum> metricData) {
final Snapshot snapshot = histogram.getSnapshot();
if (builder.withZeroValuesSubmission || snapshot.size() > 0) {
for (final Percentile percentile : builder.percentiles) {
final double value = snapshot.getValue(percentile.getQuantile());
stageMetricDatum(true, metricName, value, StandardUnit.None, percentile.getDesc(), metricData);
}
}
// prevent empty snapshot from causing InvalidParameterValueException
if (snapshot.size() > 0) {
stageMetricDatum(builder.withArithmeticMean, metricName, snapshot.getMean(), StandardUnit.None, DIMENSION_SNAPSHOT_MEAN, metricData);
stageMetricDatum(builder.withStdDev, metricName, snapshot.getStdDev(), StandardUnit.None, DIMENSION_SNAPSHOT_STD_DEV, metricData);
stageMetricDatumWithRawSnapshot(builder.withStatisticSet, metricName, snapshot, StandardUnit.None, metricData);
}
}
開發者ID:azagniotov,項目名稱:codahale-aggregated-metrics-cloudwatch-reporter,代碼行數:32,代碼來源:CloudWatchReporter.java
示例3: reportTimer
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
private void reportTimer(String name, Timer timer, long timestamp) {
if (canSkipMetric(name, timer)) {
return;
}
final Snapshot snapshot = timer.getSnapshot();
Object[] p = pointsTimer[0];
p[0] = influxdb.convertTimestamp(timestamp);
p[1] = snapshot.size();
p[2] = convertDuration(snapshot.getMin());
p[3] = convertDuration(snapshot.getMax());
p[4] = convertDuration(snapshot.getMean());
p[5] = convertDuration(snapshot.getStdDev());
p[6] = convertDuration(snapshot.getMedian());
p[7] = convertDuration(snapshot.get75thPercentile());
p[8] = convertDuration(snapshot.get95thPercentile());
p[9] = convertDuration(snapshot.get99thPercentile());
p[10] = convertDuration(snapshot.get999thPercentile());
p[11] = convertRate(timer.getOneMinuteRate());
p[12] = convertRate(timer.getFiveMinuteRate());
p[13] = convertRate(timer.getFifteenMinuteRate());
p[14] = convertRate(timer.getMeanRate());
p[15] = timer.getCount();
assert (p.length == COLUMNS_TIMER.length);
influxdb.appendSeries(prefix, name, ".timer", COLUMNS_TIMER, pointsTimer);
}
示例4: reportHistogram
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
private void reportHistogram(String name, Histogram histogram, long timestamp) {
if (canSkipMetric(name, histogram)) {
return;
}
final Snapshot snapshot = histogram.getSnapshot();
Object[] p = pointsHistogram[0];
p[0] = influxdb.convertTimestamp(timestamp);
p[1] = snapshot.size();
p[2] = snapshot.getMin();
p[3] = snapshot.getMax();
p[4] = snapshot.getMean();
p[5] = snapshot.getStdDev();
p[6] = snapshot.getMedian();
p[7] = snapshot.get75thPercentile();
p[8] = snapshot.get95thPercentile();
p[9] = snapshot.get99thPercentile();
p[10] = snapshot.get999thPercentile();
p[11] = histogram.getCount();
assert (p.length == COLUMNS_HISTOGRAM.length);
influxdb.appendSeries(prefix, name, ".histogram", COLUMNS_HISTOGRAM, pointsHistogram);
}
示例5: serialise
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
public MetricsHistogram serialise(String name, Histogram histo)
{
Snapshot snapshot = histo.getSnapshot();
final long count = histo.getCount();
return new MetricsHistogram(name,
count,
snapshot.size(),
snapshot.getMin(),
snapshot.getMax(),
snapshot.getStdDev(),
snapshot.getMean(),
snapshot.getMedian(),
snapshot.get75thPercentile(),
snapshot.get95thPercentile(),
snapshot.get98thPercentile(),
snapshot.get99thPercentile(),
snapshot.get999thPercentile());
}
示例6: reportTimer
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
private void reportTimer(String key, Collection<MetricDatum> data, Map.Entry<String, Timer> met) {
Timer timer = met.getValue();
Snapshot snapshot = timer.getSnapshot();
if (reportAggregates) {
reportAggregate(key, data, "count", null, timer.getCount());
reportAggregate(key, data, "rate", "1minute", timer.getOneMinuteRate());
reportAggregate(key, data, "rate", "5minute", timer.getFiveMinuteRate());
reportAggregate(key, data, "rate", "15minute", timer.getFifteenMinuteRate());
reportAggregate(key, data, "rate", "mean", timer.getMeanRate());
reportSnapshot(data, snapshot, key);
} else {
// if no data, don't bother Amazon with it.
if (snapshot.size() == 0) {
return;
}
double sum = 0;
for (double val : snapshot.getValues()) {
sum += val;
}
// Metrics works in Nanoseconds, which is not one of Amazon's favorites.
double max = (double) TimeUnit.NANOSECONDS.toMicros(snapshot.getMax());
double min = (double) TimeUnit.NANOSECONDS.toMicros(snapshot.getMin());
double sumMicros = TimeUnit.NANOSECONDS.toMicros((long) sum);
StatisticSet stats = new StatisticSet()
.withMaximum(max)
.withMinimum(min)
.withSum(sumMicros)
.withSampleCount((double) snapshot.getValues().length);
if (LOG.isDebugEnabled()) {
LOG.debug("timer {}: {}", met.getKey(), stats);
}
data.add(new MetricDatum().withMetricName(met.getKey())
.withDimensions(dimensions)
.withStatisticValues(stats)
.withUnit(StandardUnit.Microseconds));
}
}
示例7: reportHistogram
import com.codahale.metrics.Snapshot; //導入方法依賴的package包/類
private void reportHistogram(Collection<MetricDatum> data, Map.Entry<String, Histogram> meh) {
Snapshot snapshot = meh.getValue().getSnapshot();
if (reportAggregates) {
String key = meh.getKey();
reportSnapshot(data, snapshot, key);
} else {
// if no data, don't bother Amazon with it.
if (snapshot.size() == 0) {
return;
}
double sum = 0;
for (double val : snapshot.getValues()) {
sum += val;
}
StatisticSet stats = new StatisticSet().withMaximum((double) snapshot.getMax())
.withMinimum((double) snapshot.getMin())
.withSum(sum)
.withSampleCount((double) snapshot.getValues().length);
if (LOG.isDebugEnabled()) {
LOG.debug("histogram {}: {}", meh.getKey(), stats);
}
data.add(new MetricDatum().withMetricName(meh.getKey())
.withDimensions(dimensions)
.withStatisticValues(stats));
}
}