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package io.prometheus.client;

import io.prometheus.client.CKMSQuantiles.Quantile;

import java.io.Closeable;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.SortedMap;
import java.util.TreeMap;
import java.util.concurrent.Callable;
import java.util.concurrent.TimeUnit;

/**
 * Summary metric, to track the size of events.
 * 

* Example of uses for Summaries include: *

    *
  • Response latency
  • *
  • Request size
  • *
* *

* Example Summaries: *

 * {@code
 *   class YourClass {
 *     static final Summary receivedBytes = Summary.build()
 *         .name("requests_size_bytes").help("Request size in bytes.").register();
 *     static final Summary requestLatency = Summary.build()
 *         .name("requests_latency_seconds").help("Request latency in seconds.").register();
 *
 *     void processRequest(Request req) {
 *        Summary.Timer requestTimer = requestLatency.startTimer();
 *        try {
 *          // Your code here.
 *        } finally {
 *          receivedBytes.observe(req.size());
 *          requestTimer.observeDuration();
 *        }
 *     }
 *
 *     // Or if using Java 8 and lambdas.
 *     void processRequestLambda(Request req) {
 *       receivedBytes.observe(req.size());
 *       requestLatency.time(() -> {
 *         // Your code here.
 *       });
 *     }
 * }
 * }
 * 
* This would allow you to track request rate, average latency and average request size. * *

* How to add custom quantiles: *

 * {@code
 *     static final Summary myMetric = Summary.build()
 *             .quantile(0.5, 0.05)   // Add 50th percentile (= median) with 5% tolerated error
 *             .quantile(0.9, 0.01)   // Add 90th percentile with 1% tolerated error
 *             .quantile(0.99, 0.001) // Add 99th percentile with 0.1% tolerated error
 *             .name("requests_size_bytes")
 *             .help("Request size in bytes.")
 *             .register();
 * }
 * 
* * The quantiles are calculated over a sliding window of time. There are two options to configure this time window: *
    *
  • maxAgeSeconds(long): Set the duration of the time window is, i.e. how long observations are kept before they are discarded. * Default is 10 minutes. *
  • ageBuckets(int): Set the number of buckets used to implement the sliding time window. If your time window is 10 minutes, and you have ageBuckets=5, * buckets will be switched every 2 minutes. The value is a trade-off between resources (memory and cpu for maintaining the bucket) * and how smooth the time window is moved. Default value is 5. *
* * See https://prometheus.io/docs/practices/histograms/ for more info on quantiles. */ public class Summary extends SimpleCollector implements Counter.Describable { final List quantiles; // Can be empty, but can never be null. final long maxAgeSeconds; final int ageBuckets; Summary(Builder b) { super(b); quantiles = Collections.unmodifiableList(new ArrayList(b.quantiles)); this.maxAgeSeconds = b.maxAgeSeconds; this.ageBuckets = b.ageBuckets; initializeNoLabelsChild(); } public static class Builder extends SimpleCollector.Builder { private final List quantiles = new ArrayList(); private long maxAgeSeconds = TimeUnit.MINUTES.toSeconds(10); private int ageBuckets = 5; public Builder quantile(double quantile, double error) { if (quantile < 0.0 || quantile > 1.0) { throw new IllegalArgumentException("Quantile " + quantile + " invalid: Expected number between 0.0 and 1.0."); } if (error < 0.0 || error > 1.0) { throw new IllegalArgumentException("Error " + error + " invalid: Expected number between 0.0 and 1.0."); } quantiles.add(new Quantile(quantile, error)); return this; } public Builder maxAgeSeconds(long maxAgeSeconds) { if (maxAgeSeconds <= 0) { throw new IllegalArgumentException("maxAgeSeconds cannot be " + maxAgeSeconds); } this.maxAgeSeconds = maxAgeSeconds; return this; } public Builder ageBuckets(int ageBuckets) { if (ageBuckets <= 0) { throw new IllegalArgumentException("ageBuckets cannot be " + ageBuckets); } this.ageBuckets = ageBuckets; return this; } @Override public Summary create() { for (String label : labelNames) { if (label.equals("quantile")) { throw new IllegalStateException("Summary cannot have a label named 'quantile'."); } } dontInitializeNoLabelsChild = true; return new Summary(this); } } /** * Return a Builder to allow configuration of a new Summary. Ensures required fields are provided. * * @param name The name of the metric * @param help The help string of the metric */ public static Builder build(String name, String help) { return new Builder().name(name).help(help); } /** * Return a Builder to allow configuration of a new Summary. */ public static Builder build() { return new Builder(); } @Override protected Child newChild() { return new Child(quantiles, maxAgeSeconds, ageBuckets); } /** * Represents an event being timed. */ public static class Timer implements Closeable { private final Child child; private final long start; private Timer(Child child, long start) { this.child = child; this.start = start; } /** * Observe the amount of time in seconds since {@link Child#startTimer} was called. * @return Measured duration in seconds since {@link Child#startTimer} was called. */ public double observeDuration() { double elapsed = SimpleTimer.elapsedSecondsFromNanos(start, SimpleTimer.defaultTimeProvider.nanoTime()); child.observe(elapsed); return elapsed; } /** * Equivalent to calling {@link #observeDuration()}. */ @Override public void close() { observeDuration(); } } /** * The value of a single Summary. *

* Warning: References to a Child become invalid after using * {@link SimpleCollector#remove} or {@link SimpleCollector#clear}. */ public static class Child { /** * Executes runnable code (e.g. a Java 8 Lambda) and observes a duration of how long it took to run. * * @param timeable Code that is being timed * @return Measured duration in seconds for timeable to complete. */ public double time(Runnable timeable) { Timer timer = startTimer(); double elapsed; try { timeable.run(); } finally { elapsed = timer.observeDuration(); } return elapsed; } /** * Executes callable code (e.g. a Java 8 Lambda) and observes a duration of how long it took to run. * * @param timeable Code that is being timed * @return Result returned by callable. */ public E time(Callable timeable) { Timer timer = startTimer(); try { return timeable.call(); } catch (Exception e) { throw new RuntimeException(e); } finally { timer.observeDuration(); } } public static class Value { public final double count; public final double sum; public final SortedMap quantiles; private Value(double count, double sum, List quantiles, TimeWindowQuantiles quantileValues) { this.count = count; this.sum = sum; this.quantiles = Collections.unmodifiableSortedMap(snapshot(quantiles, quantileValues)); } private SortedMap snapshot(List quantiles, TimeWindowQuantiles quantileValues) { SortedMap result = new TreeMap(); for (Quantile q : quantiles) { result.put(q.quantile, quantileValues.get(q.quantile)); } return result; } } // Having these separate leaves us open to races, // however Prometheus as whole has other races // that mean adding atomicity here wouldn't be useful. // This should be reevaluated in the future. private final DoubleAdder count = new DoubleAdder(); private final DoubleAdder sum = new DoubleAdder(); private final List quantiles; private final TimeWindowQuantiles quantileValues; private Child(List quantiles, long maxAgeSeconds, int ageBuckets) { this.quantiles = quantiles; if (quantiles.size() > 0) { quantileValues = new TimeWindowQuantiles(quantiles.toArray(new Quantile[]{}), maxAgeSeconds, ageBuckets); } else { quantileValues = null; } } /** * Observe the given amount. */ public void observe(double amt) { count.add(1); sum.add(amt); if (quantileValues != null) { quantileValues.insert(amt); } } /** * Start a timer to track a duration. *

* Call {@link Timer#observeDuration} at the end of what you want to measure the duration of. */ public Timer startTimer() { return new Timer(this, SimpleTimer.defaultTimeProvider.nanoTime()); } /** * Get the value of the Summary. *

* Warning: The definition of {@link Value} is subject to change. */ public Value get() { return new Value(count.sum(), sum.sum(), quantiles, quantileValues); } } // Convenience methods. /** * Observe the given amount on the summary with no labels. */ public void observe(double amt) { noLabelsChild.observe(amt); } /** * Start a timer to track a duration on the summary with no labels. *

* Call {@link Timer#observeDuration} at the end of what you want to measure the duration of. */ public Timer startTimer() { return noLabelsChild.startTimer(); } /** * Executes runnable code (e.g. a Java 8 Lambda) and observes a duration of how long it took to run. * * @param timeable Code that is being timed * @return Measured duration in seconds for timeable to complete. */ public double time(Runnable timeable){ return noLabelsChild.time(timeable); } /** * Executes callable code (e.g. a Java 8 Lambda) and observes a duration of how long it took to run. * * @param timeable Code that is being timed * @return Result returned by callable. */ public E time(Callable timeable){ return noLabelsChild.time(timeable); } /** * Get the value of the Summary. *

* Warning: The definition of {@link Child.Value} is subject to change. */ public Child.Value get() { return noLabelsChild.get(); } @Override public List collect() { List samples = new ArrayList(); for(Map.Entry, Child> c: children.entrySet()) { Child.Value v = c.getValue().get(); List labelNamesWithQuantile = new ArrayList(labelNames); labelNamesWithQuantile.add("quantile"); for(Map.Entry q : v.quantiles.entrySet()) { List labelValuesWithQuantile = new ArrayList(c.getKey()); labelValuesWithQuantile.add(doubleToGoString(q.getKey())); samples.add(new MetricFamilySamples.Sample(fullname, labelNamesWithQuantile, labelValuesWithQuantile, q.getValue())); } samples.add(new MetricFamilySamples.Sample(fullname + "_count", labelNames, c.getKey(), v.count)); samples.add(new MetricFamilySamples.Sample(fullname + "_sum", labelNames, c.getKey(), v.sum)); } return familySamplesList(Type.SUMMARY, samples); } @Override public List describe() { return Collections.singletonList(new SummaryMetricFamily(fullname, help, labelNames)); } }





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