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/*
* 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 org.apache.dubbo.rpc;
import org.apache.dubbo.common.utils.ConcurrentHashMapUtils;
import org.apache.dubbo.common.utils.StringUtils;
import java.util.Map;
import java.util.Optional;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentMap;
import java.util.concurrent.atomic.AtomicLong;
/**
* adaptive Metrics statistics.
*/
public class AdaptiveMetrics {
private final ConcurrentMap metricsStatistics = new ConcurrentHashMap<>();
private long currentProviderTime = 0;
private double providerCPULoad = 0;
private long lastLatency = 0;
private long currentTime = 0;
// Allow some time disorder
private long pickTime = System.currentTimeMillis();
private double beta = 0.5;
private final AtomicLong consumerReq = new AtomicLong();
private final AtomicLong consumerSuccess = new AtomicLong();
private final AtomicLong errorReq = new AtomicLong();
private double ewma = 0;
public double getLoad(String idKey, int weight, int timeout) {
AdaptiveMetrics metrics = getStatus(idKey);
// If the time more than 2 times, mandatory selected
if (System.currentTimeMillis() - metrics.pickTime > timeout * 2) {
return 0;
}
if (metrics.currentTime > 0) {
long multiple = (System.currentTimeMillis() - metrics.currentTime) / timeout + 1;
if (multiple > 0) {
if (metrics.currentProviderTime == metrics.currentTime) {
// penalty value
metrics.lastLatency = timeout * 2L;
} else {
metrics.lastLatency = metrics.lastLatency >> multiple;
}
metrics.ewma = metrics.beta * metrics.ewma + (1 - metrics.beta) * metrics.lastLatency;
metrics.currentTime = System.currentTimeMillis();
}
}
long inflight = metrics.consumerReq.get() - metrics.consumerSuccess.get() - metrics.errorReq.get();
return metrics.providerCPULoad
* (Math.sqrt(metrics.ewma) + 1)
* (inflight + 1)
/ ((((double) metrics.consumerSuccess.get() / (double) (metrics.consumerReq.get() + 1)) * weight) + 1);
}
public AdaptiveMetrics getStatus(String idKey) {
return ConcurrentHashMapUtils.computeIfAbsent(metricsStatistics, idKey, k -> new AdaptiveMetrics());
}
public void addConsumerReq(String idKey) {
AdaptiveMetrics metrics = getStatus(idKey);
metrics.consumerReq.incrementAndGet();
}
public void addConsumerSuccess(String idKey) {
AdaptiveMetrics metrics = getStatus(idKey);
metrics.consumerSuccess.incrementAndGet();
}
public void addErrorReq(String idKey) {
AdaptiveMetrics metrics = getStatus(idKey);
metrics.errorReq.incrementAndGet();
}
public void setPickTime(String idKey, long time) {
AdaptiveMetrics metrics = getStatus(idKey);
metrics.pickTime = time;
}
public void setProviderMetrics(String idKey, Map metricsMap) {
AdaptiveMetrics metrics = getStatus(idKey);
long serviceTime = Long.parseLong(Optional.ofNullable(metricsMap.get("curTime"))
.filter(v -> StringUtils.isNumeric(v, false))
.orElse("0"));
// If server time is less than the current time, discard
if (metrics.currentProviderTime > serviceTime) {
return;
}
metrics.currentProviderTime = serviceTime;
metrics.currentTime = serviceTime;
metrics.providerCPULoad = Double.parseDouble(Optional.ofNullable(metricsMap.get("load"))
.filter(v -> StringUtils.isNumeric(v, true))
.orElse("0"));
metrics.lastLatency = Long.parseLong((Optional.ofNullable(metricsMap.get("rt"))
.filter(v -> StringUtils.isNumeric(v, false))
.orElse("0")));
metrics.beta = 0.5;
// Vt = β * Vt-1 + (1 - β ) * θt
metrics.ewma = metrics.beta * metrics.ewma + (1 - metrics.beta) * metrics.lastLatency;
}
}