com.yammer.metrics.stats.Snapshot Java Examples
The following examples show how to use
com.yammer.metrics.stats.Snapshot.
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Example #1
| Source File: KafkaMetricsProcessor.java From kafka-metrics with Apache License 2.0 | 6 votes |
|
@Override
public void processHistogram(MetricName name, Histogram histogram, Long timestamp) {
Map<String, Double> fields = new HashMap<String, Double>();
fields.put("Count", Double.valueOf(histogram.count()));
fields.put("Max", histogram.max());
fields.put("Mean", histogram.mean());
fields.put("Min", histogram.min());
fields.put("StdDev", histogram.stdDev());
fields.put("Sum", histogram.sum());
Snapshot snapshot = histogram.getSnapshot();
fields.put("95thPercentile", snapshot.get95thPercentile());
fields.put("98thPercentile", snapshot.get98thPercentile());
fields.put("99thPercentile", snapshot.get99thPercentile());
fields.put("999thPercentile", snapshot.get999thPercentile());
publish(createMeasurement(name, timestamp, fixedTags, fields));
}
Example #2
| Source File: MemoryReporter.java From incubator-retired-blur with Apache License 2.0 | 6 votes |
|
@Override
public void processHistogram(MetricName name, Histogram histogram,
ConcurrentMap<String, org.apache.blur.thrift.generated.Metric> context) throws Exception {
org.apache.blur.thrift.generated.Metric metric = getMetric(name, context);
metric.putToDoubleMap("min", histogram.min());
metric.putToDoubleMap("max", histogram.max());
metric.putToDoubleMap("mean", histogram.mean());
metric.putToDoubleMap("stdDev", histogram.stdDev());
Snapshot snapshot = histogram.getSnapshot();
metric.putToDoubleMap("median", snapshot.getMedian());
metric.putToDoubleMap("75%", snapshot.get75thPercentile());
metric.putToDoubleMap("95%", snapshot.get95thPercentile());
metric.putToDoubleMap("98%", snapshot.get98thPercentile());
metric.putToDoubleMap("99%", snapshot.get99thPercentile());
metric.putToDoubleMap("99.9%", snapshot.get999thPercentile());
}
Example #3
| Source File: MemoryReporter.java From incubator-retired-blur with Apache License 2.0 | 6 votes |
|
@Override
public void processTimer(MetricName name, Timer timer,
ConcurrentMap<String, org.apache.blur.thrift.generated.Metric> context) throws Exception {
org.apache.blur.thrift.generated.Metric metric = getMetric(name, context);
addMeter(metric, timer, context);
metric.putToStrMap("unit", timer.durationUnit().toString());
metric.putToDoubleMap("min", timer.min());
metric.putToDoubleMap("max", timer.max());
metric.putToDoubleMap("mean", timer.mean());
metric.putToDoubleMap("stdDev", timer.stdDev());
Snapshot snapshot = timer.getSnapshot();
metric.putToDoubleMap("median", snapshot.getMedian());
metric.putToDoubleMap("75%", snapshot.get75thPercentile());
metric.putToDoubleMap("95%", snapshot.get95thPercentile());
metric.putToDoubleMap("98%", snapshot.get98thPercentile());
metric.putToDoubleMap("99%", snapshot.get99thPercentile());
metric.putToDoubleMap("99.9%", snapshot.get999thPercentile());
}
Example #4
| Source File: CustomReporter.java From netty-4.1.22 with Apache License 2.0 | 6 votes |
|
@Override
public void processHistogram(final MetricName name,
final Histogram histogram, final PrintStream stream) {
final Snapshot snapshot = histogram.getSnapshot();
stream.printf(locale, " min = %,2.2f\n", histogram.min());
stream.printf(locale, " max = %,2.2f\n", histogram.max());
stream.printf(locale, " mean = %,2.2f\n", histogram.mean());
stream.printf(locale, " stddev = %,2.2f\n",
histogram.stdDev());
stream.printf(locale, " median = %,2.2f\n",
snapshot.getMedian());
stream.printf(locale, " 75%% <= %,2.2f\n",
snapshot.get75thPercentile());
stream.printf(locale, " 95%% <= %,2.2f\n",
snapshot.get95thPercentile());
stream.printf(locale, " 98%% <= %,2.2f\n",
snapshot.get98thPercentile());
stream.printf(locale, " 99%% <= %,2.2f\n",
snapshot.get99thPercentile());
stream.printf(locale, " 99.9%% <= %,2.2f\n",
snapshot.get999thPercentile());
}
Example #5
| Source File: JSONReporter.java From incubator-retired-blur with Apache License 2.0 | 6 votes |
|
@Override
public void processHistogram(MetricName name, Histogram histogram, Context context) throws Exception {
MetricInfo info = context.getMetricInfo(name);
long time = context.getTime();
info.addNumber("timestamp", time);
info.addNumber("min", histogram.min());
info.addNumber("max", histogram.max());
info.addNumber("mean", histogram.mean());
info.addNumber("stdDev", histogram.stdDev());
Snapshot snapshot = histogram.getSnapshot();
info.addNumber("median", snapshot.getMedian());
info.addNumber("75%", snapshot.get75thPercentile());
info.addNumber("95%", snapshot.get95thPercentile());
info.addNumber("98%", snapshot.get98thPercentile());
info.addNumber("99%", snapshot.get99thPercentile());
info.addNumber("99.9%", snapshot.get999thPercentile());
}
Example #6
| Source File: JSONReporter.java From incubator-retired-blur with Apache License 2.0 | 6 votes |
|
@Override
public void processTimer(MetricName name, Timer timer, Context context) throws Exception {
MetricInfo info = context.getMetricInfo(name);
long time = context.getTime();
addMeterInfo(time, timer, info);
info.setMetaData("unit", timer.durationUnit().toString());
info.addNumber("min", timer.min());
info.addNumber("max", timer.max());
info.addNumber("mean", timer.mean());
info.addNumber("stdDev", timer.stdDev());
Snapshot snapshot = timer.getSnapshot();
info.addNumber("median", snapshot.getMedian());
info.addNumber("75%", snapshot.get75thPercentile());
info.addNumber("95%", snapshot.get95thPercentile());
info.addNumber("98%", snapshot.get98thPercentile());
info.addNumber("99%", snapshot.get99thPercentile());
info.addNumber("99.9%", snapshot.get999thPercentile());
}
Example #7
| Source File: YammerFacadeMetric.java From storm-metrics-reporter with Apache License 2.0 | 6 votes |
|
@SuppressWarnings("unchecked")
@Override
public void processHistogram(final MetricName metricName,
final Histogram histogram,
final Map context) throws Exception {
final Snapshot snapshot = histogram.getSnapshot();
final Map subMetrics =
ImmutableMap
.builder()
.put("75percentile", snapshot.get75thPercentile())
.put("95percentile", snapshot.get95thPercentile())
.put("99percentile", snapshot.get99thPercentile())
.put("median", snapshot.getMedian())
.put("mean", histogram.mean())
.put("min", histogram.min())
.put("max", histogram.max())
.put("stddev", histogram.stdDev())
.build();
context.put(toString(metricName), subMetrics);
}
Example #8
| Source File: FilteredGraphiteReporter.java From kafka-graphite with Apache License 2.0 | 6 votes |
|
@Override
protected void sendSampling(long epoch, String sanitizedName, Sampling metric) throws IOException {
final Snapshot snapshot = metric.getSnapshot();
if (dimensions.contains(median))
sendFloat(epoch, sanitizedName, "median", snapshot.getMedian());
if (dimensions.contains(p75))
sendFloat(epoch, sanitizedName, "75percentile", snapshot.get75thPercentile());
if (dimensions.contains(p95))
sendFloat(epoch, sanitizedName, "95percentile", snapshot.get95thPercentile());
if (dimensions.contains(p98))
sendFloat(epoch, sanitizedName, "98percentile", snapshot.get98thPercentile());
if (dimensions.contains(p99))
sendFloat(epoch, sanitizedName, "99percentile", snapshot.get99thPercentile());
if (dimensions.contains(p999))
sendFloat(epoch, sanitizedName, "999percentile", snapshot.get999thPercentile());
}
Example #9
| Source File: YammerFacadeMetric.java From storm-metrics-reporter with Apache License 2.0 | 6 votes |
|
@SuppressWarnings("unchecked")
@Override
public void processTimer(final MetricName name, final Timer timer, final Map context) throws Exception {
final Snapshot snapshot = timer.getSnapshot();
final Map subMetrics =
ImmutableMap
.builder()
.put("count", timer.count())
.put("median", snapshot.getMedian())
.put("75percentile", snapshot.get75thPercentile())
.put("95percentile", snapshot.get95thPercentile())
.put("99percentile", snapshot.get99thPercentile())
.build();
context.put(toString(name), subMetrics);
}
Example #10
| Source File: CustomReporter.java From netty4.0.27Learn with Apache License 2.0 | 6 votes |
|
@Override
public void processHistogram(final MetricName name,
final Histogram histogram, final PrintStream stream) {
final Snapshot snapshot = histogram.getSnapshot();
stream.printf(locale, " min = %,2.2f\n", histogram.min());
stream.printf(locale, " max = %,2.2f\n", histogram.max());
stream.printf(locale, " mean = %,2.2f\n", histogram.mean());
stream.printf(locale, " stddev = %,2.2f\n",
histogram.stdDev());
stream.printf(locale, " median = %,2.2f\n",
snapshot.getMedian());
stream.printf(locale, " 75%% <= %,2.2f\n",
snapshot.get75thPercentile());
stream.printf(locale, " 95%% <= %,2.2f\n",
snapshot.get95thPercentile());
stream.printf(locale, " 98%% <= %,2.2f\n",
snapshot.get98thPercentile());
stream.printf(locale, " 99%% <= %,2.2f\n",
snapshot.get99thPercentile());
stream.printf(locale, " 99.9%% <= %,2.2f\n",
snapshot.get999thPercentile());
}
Example #11
| Source File: AggregateMetricSenderSessionWrapper.java From signalfx-java with Apache License 2.0 | 6 votes |
|
/**
* calculate standard deviation for snapshot
* @param shapshot
* @return
*/
private double getStdDev(Snapshot snapshot) {
// two-pass algorithm for variance, avoids numeric overflow
double[] values = snapshot.getValues();
if (values.length <= 1) {
return 0;
}
final double mean = getMean(snapshot);
double sum = 0;
for (double value : values) {
final double diff = value - mean;
sum += diff * diff;
}
final double variance = sum / (values.length - 1);
return Math.sqrt(variance);
}
Example #12
| Source File: KafkaTimelineMetricsReporter.java From ambari-metrics with Apache License 2.0 | 6 votes |
|
private String[] cacheKafkaSnapshot(long currentTimeMillis, String sanitizedName, Snapshot snapshot) {
final String medianName = cacheSanitizedTimelineMetric(currentTimeMillis, sanitizedName,
MEDIAN_SUFIX, snapshot.getMedian());
final String seventyFifthPercentileName = cacheSanitizedTimelineMetric(currentTimeMillis, sanitizedName,
SEVENTY_FIFTH_PERCENTILE_SUFIX, snapshot.get75thPercentile());
final String ninetyFifthPercentileName = cacheSanitizedTimelineMetric(currentTimeMillis, sanitizedName,
NINETY_FIFTH_PERCENTILE_SUFIX, snapshot.get95thPercentile());
final String ninetyEighthPercentileName = cacheSanitizedTimelineMetric(currentTimeMillis, sanitizedName,
NINETY_EIGHTH_PERCENTILE_SUFIX, snapshot.get98thPercentile());
final String ninetyNinthPercentileName = cacheSanitizedTimelineMetric(currentTimeMillis, sanitizedName,
NINETY_NINTH_PERCENTILE_SUFIX, snapshot.get99thPercentile());
final String ninetyNinePointNinePercentileName = cacheSanitizedTimelineMetric(currentTimeMillis, sanitizedName,
NINETY_NINE_POINT_NINE_PERCENTILE_SUFIX, snapshot.get999thPercentile());
return new String[] { medianName,
ninetyEighthPercentileName, ninetyFifthPercentileName, ninetyNinePointNinePercentileName,
ninetyNinthPercentileName, seventyFifthPercentileName };
}
Example #13
| Source File: AggregateMetricSenderSessionWrapper.java From signalfx-java with Apache License 2.0 | 6 votes |
|
/**
* calculate Mean value for snapshot
* @param shapshot
* @return
*/
private double getMean(Snapshot shapshot) {
double[] values = shapshot.getValues();
if (values.length == 0) {
return 0;
}
double sum = 0;
for (double value : values) {
sum += value;
}
return sum / values.length;
}
Example #14
| Source File: LatencyMetric.java From incubator-pinot with Apache License 2.0 | 6 votes |
|
public LatencyMetric(T h) {
Snapshot s = h.getSnapshot();
_min = h.min();
_max = h.max();
_mean = h.mean();
if (null != s) {
_percentile95 = s.get95thPercentile();
_percentile99 = s.get99thPercentile();
_percentile999 = s.get999thPercentile();
} else {
_percentile95 = -1;
_percentile99 = -1;
_percentile999 = -1;
}
_histogram = h;
}
Example #15
| Source File: StatsDReporter.java From kafka-statsd-metrics2 with Apache License 2.0 | 5 votes |
|
protected void send(Sampling metric) {
final Snapshot snapshot = metric.getSnapshot();
double[] values = {snapshot.getMedian(), snapshot.get75thPercentile(), snapshot.get95thPercentile(),
snapshot.get98thPercentile(), snapshot.get99thPercentile(), snapshot.get999thPercentile()};
for (int i = 0; i < values.length; ++i) {
sendDouble(SamplingDims[i], values[i]);
}
}
Example #16
| Source File: AggregateMetricSenderSessionWrapper.java From signalfx-java with Apache License 2.0 | 5 votes |
|
/**
* calculate Max value for snapshot
* @param shapshot
* @return
*/
private double getMax(Snapshot snapshot) {
double[] values = snapshot.getValues();
if (values.length == 0) {
return 0;
}
return values[values.length - 1];
}
Example #17
| Source File: AggregateMetricSenderSessionWrapper.java From signalfx-java with Apache License 2.0 | 5 votes |
|
/**
* calculate Min value for snapshot
* @param shapshot
* @return
*/
private double getMin(Snapshot snapshot) {
double[] values = snapshot.getValues();
if (values.length == 0) {
return 0;
}
return values[0];
}
Example #18
| Source File: RootResource.java From usergrid with Apache License 2.0 | 5 votes |
|
private static void writeSampling( Sampling metric, ObjectNode mNode ) throws IOException {
final Snapshot snapshot = metric.getSnapshot();
mNode.put( "median", snapshot.getMedian() );
mNode.put( "p75", snapshot.get75thPercentile() );
mNode.put( "p95", snapshot.get95thPercentile() );
mNode.put( "p98", snapshot.get98thPercentile() );
mNode.put( "p99", snapshot.get99thPercentile() );
mNode.put( "p999", snapshot.get999thPercentile() );
}
Example #19
| Source File: StatsDReporterTest.java From kafka-statsd-metrics2 with Apache License 2.0 | 5 votes |
|
static void setupSamplingMock(Sampling sampling) { //be careful how snapshot defines statistics
final double[] values = new double[1001];
for (int i = 0; i < values.length; i++) {
values[i] = i / 1000.0;
}
when(sampling.getSnapshot()).thenReturn(new Snapshot(values));
}
Example #20
| Source File: TopicReporter.java From metrics-kafka with Apache License 2.0 | 5 votes |
|
public void processTimer(MetricName name, Timer timer, Context context) {
final String header = "# time,min,max,mean,median,stddev,95%,99%,99.9%";
final Producer producer = context.getProducer();
final Snapshot snapshot = timer.getSnapshot();
final String topic="%s-metrics-timer".format(prefix);
final String message = valueOf(timer.min()) + ',' + timer.max() + ',' + timer.mean() + ',' + snapshot.getMedian() + ','
+ timer.stdDev() + ',' + snapshot.get95thPercentile() + ',' + snapshot.get99thPercentile() + ',' + snapshot.get999thPercentile();
send(producer, header, topic, message);
}
Example #21
| Source File: TopicReporter.java From metrics-kafka with Apache License 2.0 | 5 votes |
|
public void processHistogram(MetricName name, Histogram histogram, Context context) {
final String header = "# time,min,max,mean,median,stddev,95%,99%,99.9%";
final Producer producer = context.getProducer();
final Snapshot snapshot = histogram.getSnapshot();
final String topic="%s-metrics-histogram".format(prefix);
final String message = valueOf(histogram.min()) + ',' + histogram.max() + ',' + histogram.mean() + ','
+ snapshot.getMedian() + ',' + histogram.stdDev() + ',' + snapshot.get95thPercentile() + ',' + snapshot.get99thPercentile() + ','
+ snapshot.get999thPercentile();
send(producer, header, topic, message);
}
Example #22
| Source File: StatsdReporter.java From kafka-statsd-reporter with MIT License | 5 votes |
|
protected void sendSampling(String sanitizedName, Sampling metric) throws IOException {
final Snapshot snapshot = metric.getSnapshot();
sendStatsd(sanitizedName + ".p50", format(snapshot.getMedian()), StatType.TIMER);
sendStatsd(sanitizedName + ".p75", format(snapshot.get75thPercentile()), StatType.TIMER);
sendStatsd(sanitizedName + ".p95", format(snapshot.get95thPercentile()), StatType.TIMER);
sendStatsd(sanitizedName + ".p98", format(snapshot.get98thPercentile()), StatType.TIMER);
sendStatsd(sanitizedName + ".p99", format(snapshot.get99thPercentile()), StatType.TIMER);
sendStatsd(sanitizedName + ".p999", format(snapshot.get999thPercentile()), StatType.TIMER);
}
Example #23
| Source File: CustomReporter.java From netty4.0.27Learn with Apache License 2.0 | 5 votes |
|
@Override
public void processTimer(final MetricName name, final Timer timer,
final PrintStream stream) {
processMeter(name, timer, stream);
final String durationUnit = abbrev(timer.durationUnit());
final Snapshot snapshot = timer.getSnapshot();
stream.printf(locale, " min = %,2.2f %s\n", timer.min(),
durationUnit);
stream.printf(locale, " max = %,2.2f %s\n", timer.max(),
durationUnit);
stream.printf(locale, " mean = %,2.2f %s\n", timer.mean(),
durationUnit);
stream.printf(locale, " stddev = %,2.2f %s\n",
timer.stdDev(), durationUnit);
stream.printf(locale, " median = %,2.2f %s\n",
snapshot.getMedian(), durationUnit);
stream.printf(locale, " 75%% <= %,2.2f %s\n",
snapshot.get75thPercentile(), durationUnit);
stream.printf(locale, " 95%% <= %,2.2f %s\n",
snapshot.get95thPercentile(), durationUnit);
stream.printf(locale, " 98%% <= %,2.2f %s\n",
snapshot.get98thPercentile(), durationUnit);
stream.printf(locale, " 99%% <= %,2.2f %s\n",
snapshot.get99thPercentile(), durationUnit);
stream.printf(locale, " 99.9%% <= %,2.2f %s\n",
snapshot.get999thPercentile(), durationUnit);
}
Example #24
| Source File: YammerMetricProcessor.java From cruise-control with BSD 2-Clause "Simplified" License | 5 votes |
|
@Override
public void processHistogram(MetricName metricName, Histogram histogram, Context context) {
if (MetricsUtils.isInterested(metricName)) {
LOG.trace("Processing metric {} of type Histogram.", metricName);
// Get max metric value
CruiseControlMetric ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
histogram.max(),
MetricsUtils.ATTRIBUTE_MAX);
context.reporter().sendCruiseControlMetric(ccm);
// Get mean metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
histogram.mean(),
MetricsUtils.ATTRIBUTE_MEAN);
context.reporter().sendCruiseControlMetric(ccm);
Snapshot snapshot = histogram.getSnapshot();
// Get 50th percentile (i.e. median) metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
snapshot.getMedian(),
MetricsUtils.ATTRIBUTE_50TH_PERCENTILE);
context.reporter().sendCruiseControlMetric(ccm);
// Get 999th percentile metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
snapshot.get999thPercentile(),
MetricsUtils.ATTRIBUTE_999TH_PERCENTILE);
context.reporter().sendCruiseControlMetric(ccm);
}
}
Example #25
| Source File: KafkaTimelineMetricsReporter.java From ambari-metrics with Apache License 2.0 | 5 votes |
|
@Override
public void processTimer(MetricName name, Timer timer, Context context) throws Exception {
final long currentTimeMillis = System.currentTimeMillis();
final Snapshot snapshot = timer.getSnapshot();
final String sanitizedName = sanitizeName(name);
String[] metricMNames = cacheKafkaMetered(currentTimeMillis, sanitizedName, timer);
String[] metricTNames = cacheKafkaSummarizable(currentTimeMillis, sanitizedName, timer);
String[] metricSNames = cacheKafkaSnapshot(currentTimeMillis, sanitizedName, snapshot);
String[] metricNames = (String[]) ArrayUtils.addAll(metricMNames, metricTNames);
metricNames = (String[]) ArrayUtils.addAll(metricNames, metricSNames);
populateMetricsList(context, MetricType.GAUGE, metricNames);
}
Example #26
| Source File: KafkaTimelineMetricsReporter.java From ambari-metrics with Apache License 2.0 | 5 votes |
|
@Override
public void processHistogram(MetricName name, Histogram histogram, Context context) throws Exception {
final long currentTimeMillis = System.currentTimeMillis();
final Snapshot snapshot = histogram.getSnapshot();
final String sanitizedName = sanitizeName(name);
String[] metricHNames = cacheKafkaSummarizable(currentTimeMillis, sanitizedName, histogram);
String[] metricSNames = cacheKafkaSnapshot(currentTimeMillis, sanitizedName, snapshot);
String[] metricNames = (String[]) ArrayUtils.addAll(metricHNames, metricSNames);
populateMetricsList(context, MetricType.GAUGE, metricNames);
}
Example #27
| Source File: CustomReporter.java From netty-4.1.22 with Apache License 2.0 | 5 votes |
|
@Override
public void processTimer(final MetricName name, final Timer timer,
final PrintStream stream) {
processMeter(name, timer, stream);
final String durationUnit = abbrev(timer.durationUnit());
final Snapshot snapshot = timer.getSnapshot();
stream.printf(locale, " min = %,2.2f %s\n", timer.min(),
durationUnit);
stream.printf(locale, " max = %,2.2f %s\n", timer.max(),
durationUnit);
stream.printf(locale, " mean = %,2.2f %s\n", timer.mean(),
durationUnit);
stream.printf(locale, " stddev = %,2.2f %s\n",
timer.stdDev(), durationUnit);
stream.printf(locale, " median = %,2.2f %s\n",
snapshot.getMedian(), durationUnit);
stream.printf(locale, " 75%% <= %,2.2f %s\n",
snapshot.get75thPercentile(), durationUnit);
stream.printf(locale, " 95%% <= %,2.2f %s\n",
snapshot.get95thPercentile(), durationUnit);
stream.printf(locale, " 98%% <= %,2.2f %s\n",
snapshot.get98thPercentile(), durationUnit);
stream.printf(locale, " 99%% <= %,2.2f %s\n",
snapshot.get99thPercentile(), durationUnit);
stream.printf(locale, " 99.9%% <= %,2.2f %s\n",
snapshot.get999thPercentile(), durationUnit);
}
Example #28
| Source File: LongBTreeTest.java From stratio-cassandra with Apache License 2.0 | 4 votes |
|
private static void testInsertions(int totalCount, int perTestCount, int testKeyRatio, int modificationBatchSize, boolean quickEquality) throws ExecutionException, InterruptedException
{
int batchesPerTest = perTestCount / modificationBatchSize;
int maximumRunLength = 100;
int testKeyRange = perTestCount * testKeyRatio;
int tests = totalCount / perTestCount;
System.out.println(String.format("Performing %d tests of %d operations, with %.2f max size/key-range ratio in batches of ~%d ops",
tests, perTestCount, 1 / (float) testKeyRatio, modificationBatchSize));
// if we're not doing quick-equality, we can spam with garbage for all the checks we perform, so we'll split the work into smaller chunks
int chunkSize = quickEquality ? tests : (int) (100000 / Math.pow(perTestCount, 2));
for (int chunk = 0 ; chunk < tests ; chunk += chunkSize)
{
final List<ListenableFutureTask<List<ListenableFuture<?>>>> outer = new ArrayList<>();
for (int i = 0 ; i < chunkSize ; i++)
{
outer.add(doOneTestInsertions(testKeyRange, maximumRunLength, modificationBatchSize, batchesPerTest, quickEquality));
}
final List<ListenableFuture<?>> inner = new ArrayList<>();
int complete = 0;
int reportInterval = totalCount / 100;
int lastReportAt = 0;
for (ListenableFutureTask<List<ListenableFuture<?>>> f : outer)
{
inner.addAll(f.get());
complete += perTestCount;
if (complete - lastReportAt >= reportInterval)
{
System.out.println(String.format("Completed %d of %d operations", (chunk * perTestCount) + complete, totalCount));
lastReportAt = complete;
}
}
Futures.allAsList(inner).get();
}
Snapshot snap = BTREE_TIMER.getSnapshot();
System.out.println(String.format("btree : %.2fns, %.2fns, %.2fns", snap.getMedian(), snap.get95thPercentile(), snap.get999thPercentile()));
snap = TREE_TIMER.getSnapshot();
System.out.println(String.format("snaptree: %.2fns, %.2fns, %.2fns", snap.getMedian(), snap.get95thPercentile(), snap.get999thPercentile()));
System.out.println("Done");
}
Example #29
| Source File: AggregateMetricSenderSessionWrapper.java From signalfx-java with Apache License 2.0 | 4 votes |
|
/**
* Add sampling
* @param baseName
* @param sampling
*/
private void addSampling(MetricName baseName, Sampling sampling) {
Metric metric = (Metric)sampling;
final Snapshot snapshot = sampling.getSnapshot();
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.MEDIAN,
SignalFxProtocolBuffers.MetricType.GAUGE, snapshot.getMedian());
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.PERCENT_75,
SignalFxProtocolBuffers.MetricType.GAUGE, snapshot.get75thPercentile());
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.PERCENT_95,
SignalFxProtocolBuffers.MetricType.GAUGE, snapshot.get95thPercentile());
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.PERCENT_98,
SignalFxProtocolBuffers.MetricType.GAUGE, snapshot.get98thPercentile());
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.PERCENT_99,
SignalFxProtocolBuffers.MetricType.GAUGE, snapshot.get99thPercentile());
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.PERCENT_999,
SignalFxProtocolBuffers.MetricType.GAUGE, snapshot.get999thPercentile());
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.MAX,
SignalFxProtocolBuffers.MetricType.GAUGE, getMax(snapshot));
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.MIN,
SignalFxProtocolBuffers.MetricType.GAUGE, getMin(snapshot));
// These are slower to calculate. Only calculate if we need.
if (detailsToAdd.contains(SignalFxReporter.MetricDetails.STD_DEV)) {
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.STD_DEV,
SignalFxProtocolBuffers.MetricType.GAUGE, getStdDev(snapshot));
}
if (detailsToAdd.contains(SignalFxReporter.MetricDetails.MEAN)) {
addMetric(metric, baseName,
SignalFxReporter.MetricDetails.MEAN,
SignalFxProtocolBuffers.MetricType.GAUGE, getMean(snapshot));
}
}
Example #30
| Source File: YammerMetricProcessor.java From cruise-control with BSD 2-Clause "Simplified" License | 4 votes |
|
@Override
public void processTimer(MetricName metricName, Timer timer, Context context) {
if (MetricsUtils.isInterested(metricName)) {
LOG.trace("Processing metric {} of type Timer.", metricName);
CruiseControlMetric ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
timer.fiveMinuteRate());
context.reporter().sendCruiseControlMetric(ccm);
// Get max metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
timer.max(),
MetricsUtils.ATTRIBUTE_MAX);
context.reporter().sendCruiseControlMetric(ccm);
// Get mean metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
timer.mean(),
MetricsUtils.ATTRIBUTE_MEAN);
context.reporter().sendCruiseControlMetric(ccm);
Snapshot snapshot = timer.getSnapshot();
// Get 50th percentile (i.e. median) metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
snapshot.getMedian(),
MetricsUtils.ATTRIBUTE_50TH_PERCENTILE);
context.reporter().sendCruiseControlMetric(ccm);
// Get 999th percentile metric value
ccm = MetricsUtils.toCruiseControlMetric(context.time(),
context.brokerId(),
metricName,
snapshot.get999thPercentile(),
MetricsUtils.ATTRIBUTE_999TH_PERCENTILE);
context.reporter().sendCruiseControlMetric(ccm);
}
}
