/** * * * * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package kafka.metrics import kafka.utils.{Utils, VerifiableProperties} import java.util.concurrent.atomic.AtomicBoolean /** * Base trait for reporter MBeans. If a client wants to expose these JMX * operations on a custom reporter (that implements * [[kafka.metrics.KafkaMetricsReporter]]), the custom reporter needs to * additionally implement an MBean trait that extends this trait so that the * registered MBean is compliant with the standard MBean convention. */ trait KafkaMetricsReporterMBean { def startReporter(pollingPeriodInSeconds: Long) def stopReporter() /** * * @return The name with which the MBean will be registered. */ def getMBeanName: String } trait KafkaMetricsReporter { def init(props: VerifiableProperties) } object KafkaMetricsReporter { val ReporterStarted: AtomicBoolean = new AtomicBoolean(false) def startReporters (verifiableProps: VerifiableProperties) { ReporterStarted synchronized { if (ReporterStarted.get() == false) { val metricsConfig = new KafkaMetricsConfig(verifiableProps) if(metricsConfig.reporters.size > 0) { metricsConfig.reporters.foreach(reporterType => { val reporter = Utils.createObject[KafkaMetricsReporter](reporterType) reporter.init(verifiableProps) if (reporter.isInstanceOf[KafkaMetricsReporterMBean]) Utils.registerMBean(reporter, reporter.asInstanceOf[KafkaMetricsReporterMBean].getMBeanName) }) ReporterStarted.set(true) } } } } }