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165 lines
6.3 KiB
Java
165 lines
6.3 KiB
Java
/*
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* ====================================================================
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing,
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* software distributed under the License is distributed on an
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* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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* KIND, either express or implied. See the License for the
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* specific language governing permissions and limitations
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* under the License.
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* ====================================================================
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*
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* This software consists of voluntary contributions made by many
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* individuals on behalf of the Apache Software Foundation. For more
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* information on the Apache Software Foundation, please see
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* <http://www.apache.org/>.
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*
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*/
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package ch.boye.httpclientandroidlib.impl.client;
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import java.util.HashMap;
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import java.util.Map;
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import ch.boye.httpclientandroidlib.client.BackoffManager;
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import ch.boye.httpclientandroidlib.conn.routing.HttpRoute;
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import ch.boye.httpclientandroidlib.pool.ConnPoolControl;
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import ch.boye.httpclientandroidlib.util.Args;
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/**
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* <p>The <code>AIMDBackoffManager</code> applies an additive increase,
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* multiplicative decrease (AIMD) to managing a dynamic limit to
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* the number of connections allowed to a given host. You may want
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* to experiment with the settings for the cooldown periods and the
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* backoff factor to get the adaptive behavior you want.</p>
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*
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* <p>Generally speaking, shorter cooldowns will lead to more steady-state
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* variability but faster reaction times, while longer cooldowns
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* will lead to more stable equilibrium behavior but slower reaction
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* times.</p>
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*
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* <p>Similarly, higher backoff factors promote greater
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* utilization of available capacity at the expense of fairness
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* among clients. Lower backoff factors allow equal distribution of
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* capacity among clients (fairness) to happen faster, at the
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* expense of having more server capacity unused in the short term.</p>
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*
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* @since 4.2
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*/
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public class AIMDBackoffManager implements BackoffManager {
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private final ConnPoolControl<HttpRoute> connPerRoute;
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private final Clock clock;
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private final Map<HttpRoute,Long> lastRouteProbes;
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private final Map<HttpRoute,Long> lastRouteBackoffs;
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private long coolDown = 5 * 1000L;
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private double backoffFactor = 0.5;
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private int cap = 2; // Per RFC 2616 sec 8.1.4
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/**
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* Creates an <code>AIMDBackoffManager</code> to manage
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* per-host connection pool sizes represented by the
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* given {@link ConnPoolControl}.
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* @param connPerRoute per-host routing maximums to
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* be managed
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*/
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public AIMDBackoffManager(final ConnPoolControl<HttpRoute> connPerRoute) {
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this(connPerRoute, new SystemClock());
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}
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AIMDBackoffManager(final ConnPoolControl<HttpRoute> connPerRoute, final Clock clock) {
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this.clock = clock;
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this.connPerRoute = connPerRoute;
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this.lastRouteProbes = new HashMap<HttpRoute,Long>();
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this.lastRouteBackoffs = new HashMap<HttpRoute,Long>();
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}
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public void backOff(final HttpRoute route) {
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synchronized(connPerRoute) {
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final int curr = connPerRoute.getMaxPerRoute(route);
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final Long lastUpdate = getLastUpdate(lastRouteBackoffs, route);
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final long now = clock.getCurrentTime();
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if (now - lastUpdate.longValue() < coolDown) {
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return;
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}
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connPerRoute.setMaxPerRoute(route, getBackedOffPoolSize(curr));
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lastRouteBackoffs.put(route, Long.valueOf(now));
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}
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}
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private int getBackedOffPoolSize(final int curr) {
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if (curr <= 1) {
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return 1;
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}
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return (int)(Math.floor(backoffFactor * curr));
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}
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public void probe(final HttpRoute route) {
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synchronized(connPerRoute) {
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final int curr = connPerRoute.getMaxPerRoute(route);
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final int max = (curr >= cap) ? cap : curr + 1;
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final Long lastProbe = getLastUpdate(lastRouteProbes, route);
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final Long lastBackoff = getLastUpdate(lastRouteBackoffs, route);
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final long now = clock.getCurrentTime();
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if (now - lastProbe.longValue() < coolDown || now - lastBackoff.longValue() < coolDown) {
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return;
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}
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connPerRoute.setMaxPerRoute(route, max);
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lastRouteProbes.put(route, Long.valueOf(now));
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}
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}
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private Long getLastUpdate(final Map<HttpRoute,Long> updates, final HttpRoute route) {
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Long lastUpdate = updates.get(route);
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if (lastUpdate == null) {
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lastUpdate = Long.valueOf(0L);
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}
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return lastUpdate;
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}
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/**
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* Sets the factor to use when backing off; the new
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* per-host limit will be roughly the current max times
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* this factor. <code>Math.floor</code> is applied in the
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* case of non-integer outcomes to ensure we actually
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* decrease the pool size. Pool sizes are never decreased
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* below 1, however. Defaults to 0.5.
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* @param d must be between 0.0 and 1.0, exclusive.
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*/
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public void setBackoffFactor(final double d) {
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Args.check(d > 0.0 && d < 1.0, "Backoff factor must be 0.0 < f < 1.0");
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backoffFactor = d;
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}
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/**
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* Sets the amount of time, in milliseconds, to wait between
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* adjustments in pool sizes for a given host, to allow
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* enough time for the adjustments to take effect. Defaults
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* to 5000L (5 seconds).
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* @param l must be positive
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*/
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public void setCooldownMillis(final long l) {
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Args.positive(coolDown, "Cool down");
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coolDown = l;
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}
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/**
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* Sets the absolute maximum per-host connection pool size to
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* probe up to; defaults to 2 (the default per-host max).
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* @param cap must be >= 1
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*/
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public void setPerHostConnectionCap(final int cap) {
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Args.positive(cap, "Per host connection cap");
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this.cap = cap;
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}
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}
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