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-rw-r--r--libs/xmpp-addr/src/main/java/rocks/xmpp/util/cache/LruCache.java228
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diff --git a/libs/xmpp-addr/src/main/java/rocks/xmpp/util/cache/LruCache.java b/libs/xmpp-addr/src/main/java/rocks/xmpp/util/cache/LruCache.java
new file mode 100644
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+++ b/libs/xmpp-addr/src/main/java/rocks/xmpp/util/cache/LruCache.java
@@ -0,0 +1,228 @@
+/*
+ * The MIT License (MIT)
+ *
+ * Copyright (c) 2014-2016 Christian Schudt
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to deal
+ * in the Software without restriction, including without limitation the rights
+ * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+ * copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in
+ * all copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+ * THE SOFTWARE.
+ */
+
+package rocks.xmpp.util.cache;
+
+import java.util.Collection;
+import java.util.Map;
+import java.util.Queue;
+import java.util.Set;
+import java.util.concurrent.ConcurrentHashMap;
+import java.util.concurrent.ConcurrentLinkedDeque;
+import java.util.function.BiFunction;
+import java.util.function.Function;
+
+/**
+ * A simple concurrent implementation of a least-recently-used cache.
+ * <p>
+ * This cache is keeps a maximal number of items in memory and removes the least-recently-used item, when new items are added.
+ *
+ * @param <K> The key.
+ * @param <V> The value.
+ * @author Christian Schudt
+ * @see <a href="http://javadecodedquestions.blogspot.de/2013/02/java-cache-static-data-loading.html">http://javadecodedquestions.blogspot.de/2013/02/java-cache-static-data-loading.html</a>
+ * @see <a href="http://stackoverflow.com/a/22891780">http://stackoverflow.com/a/22891780</a>
+ */
+public final class LruCache<K, V> implements Map<K, V> {
+ private final int maxEntries;
+
+ private final Map<K, V> map;
+
+ final Queue<K> queue;
+
+ public LruCache(final int maxEntries) {
+ this.maxEntries = maxEntries;
+ this.map = new ConcurrentHashMap<>(maxEntries);
+ // Don't use a ConcurrentLinkedQueue here.
+ // There's a JDK bug, leading to OutOfMemoryError and high CPU usage:
+ // https://bugs.openjdk.java.net/browse/JDK-8054446
+ this.queue = new ConcurrentLinkedDeque<>();
+ }
+
+ @Override
+ public final int size() {
+ return map.size();
+ }
+
+ @Override
+ public final boolean isEmpty() {
+ return map.isEmpty();
+ }
+
+ @Override
+ public final boolean containsKey(final Object key) {
+ return map.containsKey(key);
+ }
+
+ @Override
+ public final boolean containsValue(final Object value) {
+ return map.containsValue(value);
+ }
+
+ @SuppressWarnings("unchecked")
+ @Override
+ public final V get(final Object key) {
+ final V v = map.get(key);
+ if (v != null) {
+ // Remove the key from the queue and re-add it to the tail. It is now the most recently used key.
+ keyUsed((K) key);
+ }
+ return v;
+ }
+
+
+ @Override
+ public final V put(final K key, final V value) {
+ V v = map.put(key, value);
+ keyUsed(key);
+ limit();
+ return v;
+ }
+
+ @Override
+ public final V remove(final Object key) {
+ queue.remove(key);
+ return map.remove(key);
+ }
+
+
+ @Override
+ public final void putAll(final Map<? extends K, ? extends V> m) {
+ for (Map.Entry<? extends K, ? extends V> entry : m.entrySet()) {
+ put(entry.getKey(), entry.getValue());
+ }
+ }
+
+ @Override
+ public final void clear() {
+ queue.clear();
+ map.clear();
+ }
+
+ @Override
+ public final Set<K> keySet() {
+ return map.keySet();
+ }
+
+ @Override
+ public final Collection<V> values() {
+ return map.values();
+ }
+
+ @Override
+ public final Set<Entry<K, V>> entrySet() {
+ return map.entrySet();
+ }
+
+
+ // Default methods
+
+ @Override
+ public final V putIfAbsent(final K key, final V value) {
+ final V v = map.putIfAbsent(key, value);
+ if (v == null) {
+ keyUsed(key);
+ }
+ limit();
+ return v;
+ }
+
+ @Override
+ public final boolean remove(final Object key, final Object value) {
+ final boolean removed = map.remove(key, value);
+ if (removed) {
+ queue.remove(key);
+ }
+ return removed;
+ }
+
+ @Override
+ public final boolean replace(final K key, final V oldValue, final V newValue) {
+ final boolean replaced = map.replace(key, oldValue, newValue);
+ if (replaced) {
+ keyUsed(key);
+ }
+ return replaced;
+ }
+
+ @Override
+ public final V replace(final K key, final V value) {
+ final V v = map.replace(key, value);
+ if (v != null) {
+ keyUsed(key);
+ }
+ return v;
+ }
+
+ @Override
+ public final V computeIfAbsent(final K key, final Function<? super K, ? extends V> mappingFunction) {
+ return map.computeIfAbsent(key, mappingFunction.<V>andThen(v -> {
+ keyUsed(key);
+ limit();
+ return v;
+ }));
+ }
+
+ @Override
+ public final V computeIfPresent(final K key, final BiFunction<? super K, ? super V, ? extends V> remappingFunction) {
+ return map.computeIfPresent(key, remappingFunction.<V>andThen(v -> {
+ keyUsed(key);
+ limit();
+ return v;
+ }));
+ }
+
+ @Override
+ public final V compute(final K key, final BiFunction<? super K, ? super V, ? extends V> remappingFunction) {
+ return map.compute(key, remappingFunction.<V>andThen(v -> {
+ keyUsed(key);
+ limit();
+ return v;
+ }));
+ }
+
+ @Override
+ public final V merge(K key, V value, BiFunction<? super V, ? super V, ? extends V> remappingFunction) {
+ return map.merge(key, value, remappingFunction.<V>andThen(v -> {
+ keyUsed(key);
+ limit();
+ return v;
+ }));
+ }
+
+ private void limit() {
+ while (queue.size() > maxEntries) {
+ final K oldestKey = queue.poll();
+ if (oldestKey != null) {
+ map.remove(oldestKey);
+ }
+ }
+ }
+
+ private void keyUsed(final K key) {
+ // remove it from the queue and re-add it, to make it the most recently used key.
+ queue.remove(key);
+ queue.offer(key);
+ }
+} \ No newline at end of file