kafka QuotaUtils 源码
kafka QuotaUtils 代码
文件路径：/core/src/main/scala/kafka/utils/QuotaUtils.scala
/**
* 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.utils
import org.apache.kafka.common.MetricName
import org.apache.kafka.common.metrics.{KafkaMetric, Measurable, QuotaViolationException}
import org.apache.kafka.common.metrics.stats.Rate
/**
* Helper functions related to quotas
*/
object QuotaUtils {
/**
* This calculates the amount of time needed to bring the observed rate within quota
* assuming that no new metrics are recorded.
*
* If O is the observed rate and T is the target rate over a window of W, to bring O down to T,
* we need to add a delay of X to W such that O * W / (W + X) = T.
* Solving for X, we get X = (O - T)/T * W.
*
* @param timeMs current time in milliseconds
* @return Delay in milliseconds
*/
def throttleTime(e: QuotaViolationException, timeMs: Long): Long = {
val difference = e.value - e.bound
// Use the precise window used by the rate calculation
val throttleTimeMs = difference / e.bound * windowSize(e.metric, timeMs)
Math.round(throttleTimeMs)
}
/**
* Calculates the amount of time needed to bring the observed rate within quota using the same algorithm as
* throttleTime() utility method but the returned value is capped to given maxThrottleTime
*/
def boundedThrottleTime(e: QuotaViolationException, maxThrottleTime: Long, timeMs: Long): Long = {
math.min(throttleTime(e, timeMs), maxThrottleTime)
}
/**
* Returns window size of the given metric
*
* @param metric metric with measurable of type Rate
* @param timeMs current time in milliseconds
* @throws IllegalArgumentException if given measurable is not Rate
*/
private def windowSize(metric: KafkaMetric, timeMs: Long): Long =
measurableAsRate(metric.metricName, metric.measurable).windowSize(metric.config, timeMs)
/**
* Casts provided Measurable to Rate
* @throws IllegalArgumentException if given measurable is not Rate
*/
private def measurableAsRate(name: MetricName, measurable: Measurable): Rate = {
measurable match {
case r: Rate => r
case _ => throw new IllegalArgumentException(s"Metric $name is not a Rate metric, value $measurable")
}
}
}
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