All Downloads are FREE. Search and download functionalities are using the official Maven repository.

net.dv8tion.jda.api.utils.cache.LRUMemberCachePolicy Maven / Gradle / Ivy

Go to download

Java wrapper for the popular chat & VOIP service: Discord https://discord.com

There is a newer version: 5.1.0
Show newest version
/*
 * Copyright 2015 Austin Keener, Michael Ritter, Florian Spieß, and the JDA contributors
 *
 * Licensed 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 net.dv8tion.jda.api.utils.cache;

import gnu.trove.map.TObjectIntMap;
import gnu.trove.map.hash.TObjectIntHashMap;
import net.dv8tion.jda.api.entities.Guild;
import net.dv8tion.jda.api.entities.Member;
import net.dv8tion.jda.api.utils.MemberCachePolicy;
import net.dv8tion.jda.internal.utils.Checks;

import javax.annotation.Nonnull;
import java.util.*;

/**
 * An implementation of a Least-Recently-Used cache.
 * 
When the cache capacity exceeds the configured maximum, the eldest cache entry is evicted. * *

You can use {@link #unloadUnless(MemberCachePolicy)}, to configure a conditional unloading. * If the configured sub-policy evaluates to {@code true}, the member will not be unloaded even when it is an old cache entry. * *

This is implemented using a queue and counter algorithm, to achieve amortized O(1) performance. * *

Example
*

{@code
 * MemberCachePolicy.ONLINE.and( // only cache online members
 *   MemberCachePolicy.lru(1000) // of those online members, track the 1000 most active members
 *     .unloadUnless(MemberCachePolicy.VOICE) // always keep voice members cached regardless of age
 * )
 * }
* * This policy would add online members into the pool of cached members. * The cached members are limited to 1000 active members, which are handled by the LRU policy. * When the LRU cache exceeds the maximum, it will evict the least recently active member from cache. * If the sub-policy, in this case {@link MemberCachePolicy#VOICE}, evaluates to {@code true}, the member is retained in cache. * Otherwise, the member is unloaded using {@link Guild#unloadMember(long)}. * *

Note that the LRU policy itself always returns {@code true} for {@link #cacheMember(Member)}, since that makes the member the most recently used instead. * * @see MemberCachePolicy#lru(int) */ public class LRUMemberCachePolicy implements MemberCachePolicy { private static final long EPOCH_SECONDS = System.currentTimeMillis() / 1000; private final int maxMembers; // Low activity members (usage based, trades memory for cpu time) private final TObjectIntMap counters; private final ArrayDeque queue; // High activity members (time based, trades cpu time for memory) private LinkedHashMap activeMemberCache; private MemberCachePolicy subPolicy; private int useActiveMemberCache; /** * Creates a new instance of the LRU cache policy with the configured maximum capacity. * * @param maxMembers * The maximum amount members to cache * * @throws IllegalArgumentException * If the provided maximum is not positive */ public LRUMemberCachePolicy(int maxMembers) { this(maxMembers, MemberCachePolicy.NONE); } private LRUMemberCachePolicy(int maxMembers, @Nonnull MemberCachePolicy subPolicy) { Checks.positive(maxMembers, "Max members"); Checks.notNull(subPolicy, "MemberCachePolicy"); this.maxMembers = maxMembers; this.counters = new TObjectIntHashMap<>(maxMembers); this.queue = new ArrayDeque<>(maxMembers); this.useActiveMemberCache = Math.max(10, this.maxMembers / 10); this.activeMemberCache = new LinkedHashMap<>(); this.subPolicy = subPolicy; } /** * Configure when to unload a member. *
The provided policy will prevent a member from being uncached, if the policy returns true. * This can be useful to have a pool of least-recently-used members cached, * while also keeping members required for certain situations in cache. * * @param subPolicy * The policy to decide when to keep members cached, even when they are old cache entries * * @throws IllegalArgumentException * If the provided policy is null * * @return The same cache policy instance, with the new sub-policy */ @Nonnull public LRUMemberCachePolicy unloadUnless(@Nonnull MemberCachePolicy subPolicy) { Checks.notNull(subPolicy, "MemberCachePolicy"); this.subPolicy = subPolicy; return this; } @Nonnull public synchronized LRUMemberCachePolicy withActiveMemberCache(boolean enabled) { return withActiveMemberCache(enabled ? this.maxMembers / 10 : 0); } @Nonnull public synchronized LRUMemberCachePolicy withActiveMemberCache(int activityCount) { this.useActiveMemberCache = activityCount; if (this.useActiveMemberCache < 1) // disabled if 0 { // Move them all into the low activity cache Set moved = this.activeMemberCache.keySet(); // Add them in insertion order to the queue, since the insertion order represents oldest to newest moved.forEach(this::cacheMember); } this.activeMemberCache = new LinkedHashMap<>(); return this; } @Override public synchronized boolean cacheMember(@Nonnull Member member) { int currentCount = this.counters.adjustOrPutValue(member, 1, 1); if (this.useActiveMemberCache > 0) { // Check if this member is a high activity member or low activity member // If the active member cache already tracks this member, update their timestamp if (this.activeMemberCache.containsKey(member)) { this.activeMemberCache.put(member, now()); return true; } // If the member is not tracked yet, promote them to high activity cache if they take up 10% of the queue if (currentCount > this.useActiveMemberCache) { // This step has O(n) time complexity because it needs to iterate the entire queue // Worst-case: 10 x maxMembers operations this.queue.removeIf((node) -> member.equals(node.member)); this.counters.remove(member); this.activeMemberCache.put(member, now()); return true; } } // Otherwise use the queue, which has O(1) time complexity this.queue.add(new MemberNode(member)); evictOldest(); trimQueue(); return true; } /** * Removes the head of the queue, with a counter equal to 1. */ private void evictOldest() { Member unloadable = null; while (this.counters.size() + this.activeMemberCache.size() > this.maxMembers) { Iterator> activeMemberIterator = this.activeMemberCache.entrySet().iterator(); Map.Entry oldestActive = activeMemberIterator.hasNext() ? activeMemberIterator.next() : null; MemberNode removed = this.queue.poll(); if (removed == null || oldestActive != null && oldestActive.getValue() < removed.insertionTime) { activeMemberIterator.remove(); unloadable = oldestActive.getKey(); if (removed != null) this.queue.addFirst(removed); } else { if (this.counters.get(removed.member) <= 1) { this.counters.remove(removed.member); unloadable = removed.member; } else { this.counters.adjustValue(removed.member, -1); } } if (unloadable != null && !this.subPolicy.cacheMember(unloadable)) { unloadable.getGuild().unloadMember(unloadable.getIdLong()); } } } /** * Trims the queue by removing all elements with a count higher than 1. */ private void trimQueue() { while (!this.queue.isEmpty()) { MemberNode head = this.queue.peek(); if (this.counters.get(head) > 1) { this.counters.adjustValue(head.member, -1); this.queue.poll(); } else { break; } } } private static int now() { return (int) (System.currentTimeMillis() / 1000 - EPOCH_SECONDS); } private static class MemberNode { public final int insertionTime; public final Member member; private MemberNode(Member member) { this.member = member; this.insertionTime = now(); } } }





© 2015 - 2024 Weber Informatics LLC | Privacy Policy