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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"
}
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