Class Summary

  • All Implemented Interfaces:
    Collector.Describable

    public class Summary
    extends SimpleCollector<Summary.Child>
    implements Collector.Describable
    Summary metric, to track the size of events.

    Example of uses for Summaries include:

    • Response latency
    • Request size

    Example Summaries:

     
       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:

     
         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.
    • Field Detail

      • maxAgeSeconds

        final long maxAgeSeconds
      • ageBuckets

        final int ageBuckets
    • Method Detail

      • build

        public static Summary.Builder build​(java.lang.String name,
                                            java.lang.String help)
        Return a Builder to allow configuration of a new Summary. Ensures required fields are provided.
        Parameters:
        name - The name of the metric
        help - The help string of the metric
      • build

        public static Summary.Builder build()
        Return a Builder to allow configuration of a new Summary.
      • observe

        public void observe​(double amt)
        Observe the given amount on the summary with no labels.
      • time

        public double time​(java.lang.Runnable timeable)
        Executes runnable code (e.g. a Java 8 Lambda) and observes a duration of how long it took to run.
        Parameters:
        timeable - Code that is being timed
        Returns:
        Measured duration in seconds for timeable to complete.
      • time

        public <E> E time​(java.util.concurrent.Callable<E> timeable)
        Executes callable code (e.g. a Java 8 Lambda) and observes a duration of how long it took to run.
        Parameters:
        timeable - Code that is being timed
        Returns:
        Result returned by callable.
      • describe

        public java.util.List<Collector.MetricFamilySamples> describe()
        Description copied from interface: Collector.Describable
        Provide a list of metric families this Collector is expected to return. These should exclude the samples. This is used by the registry to detect collisions and duplicate registrations. Usually custom collectors do not have to implement Describable. If Describable is not implemented and the CollectorRegistry was created with auto describe enabled (which is the case for the default registry) then Collector.collect() will be called at registration time instead of describe. If this could cause problems, either implement a proper describe, or if that's not practical have describe return an empty list.
        Specified by:
        describe in interface Collector.Describable