package kamon.metric import java.util.concurrent.{ThreadPoolExecutor, ExecutorService} import scala.concurrent.forkjoin.ForkJoinPool import com.codahale.metrics.{Metric, MetricFilter} object ExecutorServiceMetricCollector extends ForkJoinPoolMetricCollector with ThreadPoolExecutorMetricCollector { def register(fullName: String, executorService: ExecutorService) = executorService match { case fjp: ForkJoinPool => registerForkJoinPool(fullName, fjp) case tpe: ThreadPoolExecutor => registerThreadPoolExecutor(fullName, tpe) case _ => // If it is a unknown Executor then just do nothing. } def deregister(fullName: String) = { Metrics.registry.removeMatching(new MetricFilter { def matches(name: String, metric: Metric): Boolean = name.startsWith(fullName) }) } } trait ForkJoinPoolMetricCollector { import GaugeGenerator._ import BasicExecutorMetricNames._ def registerForkJoinPool(fullName: String, fjp: ForkJoinPool) = { val forkJoinPoolGauge = newNumericGaugeFor(fjp) _ val allMetrics = Map( fullName + queueSize -> forkJoinPoolGauge(_.getQueuedTaskCount.toInt), fullName + poolSize -> forkJoinPoolGauge(_.getPoolSize), fullName + activeThreads -> forkJoinPoolGauge(_.getActiveThreadCount) ) allMetrics.foreach { case (name, metric) => Metrics.registry.register(name, metric) } } } trait ThreadPoolExecutorMetricCollector { import GaugeGenerator._ import BasicExecutorMetricNames._ def registerThreadPoolExecutor(fullName: String, tpe: ThreadPoolExecutor) = { val tpeGauge = newNumericGaugeFor(tpe) _ val allMetrics = Map( fullName + queueSize -> tpeGauge(_.getQueue.size()), fullName + poolSize -> tpeGauge(_.getPoolSize), fullName + activeThreads -> tpeGauge(_.getActiveCount) ) allMetrics.foreach { case (name, metric) => Metrics.registry.register(name, metric) } } } object BasicExecutorMetricNames { val queueSize = "queueSize" val poolSize = "threads/poolSize" val activeThreads = "threads/activeThreads" }