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The Apache Commons Collections package contains types that extend and augment the Java Collections Framework.

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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.commons.collections4.map;

import java.util.AbstractCollection;
import java.util.AbstractSet;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Iterator;
import java.util.Map;
import java.util.NoSuchElementException;
import java.util.Set;

import org.apache.commons.collections4.KeyValue;

/**
 * A StaticBucketMap is an efficient, thread-safe implementation of
 * java.util.Map that performs well in in a highly
 * thread-contentious environment.  The map supports very efficient
 * {@link #get(Object) get}, {@link #put(Object,Object) put},
 * {@link #remove(Object) remove} and {@link #containsKey(Object) containsKey}
 * operations, assuming (approximate) uniform hashing and
 * that the number of entries does not exceed the number of buckets.  If the
 * number of entries exceeds the number of buckets or if the hash codes of the
 * objects are not uniformly distributed, these operations have a worst case
 * scenario that is proportional to the number of elements in the map
 * (O(n)).

* * Each bucket in the hash table has its own monitor, so two threads can * safely operate on the map at the same time, often without incurring any * monitor contention. This means that you don't have to wrap instances * of this class with {@link java.util.Collections#synchronizedMap(Map)}; * instances are already thread-safe. Unfortunately, however, this means * that this map implementation behaves in ways you may find disconcerting. * Bulk operations, such as {@link #putAll(Map) putAll} or the * {@link Collection#retainAll(Collection) retainAll} operation in collection * views, are not atomic. If two threads are simultaneously * executing * *

 *   staticBucketMapInstance.putAll(map);
 * 
* * and * *
 *   staticBucketMapInstance.entrySet().removeAll(map.entrySet());
 * 
* * then the results are generally random. Those two statement could cancel * each other out, leaving staticBucketMapInstance essentially * unchanged, or they could leave some random subset of map in * staticBucketMapInstance.

* * Also, much like an encyclopedia, the results of {@link #size()} and * {@link #isEmpty()} are out-of-date as soon as they are produced.

* * The iterators returned by the collection views of this class are not * fail-fast. They will never raise a * {@link java.util.ConcurrentModificationException}. Keys and values * added to the map after the iterator is created do not necessarily appear * during iteration. Similarly, the iterator does not necessarily fail to * return keys and values that were removed after the iterator was created.

* * Finally, unlike {@link java.util.HashMap}-style implementations, this * class never rehashes the map. The number of buckets is fixed * at construction time and never altered. Performance may degrade if * you do not allocate enough buckets upfront.

* * The {@link #atomic(Runnable)} method is provided to allow atomic iterations * and bulk operations; however, overuse of {@link #atomic(Runnable) atomic} * will basically result in a map that's slower than an ordinary synchronized * {@link java.util.HashMap}. * * Use this class if you do not require reliable bulk operations and * iterations, or if you can make your own guarantees about how bulk * operations will affect the map.

* * @param the type of the keys in this map * @param the type of the values in this map * @since 3.0 (previously in main package v2.1) */ public final class StaticBucketMap extends AbstractIterableMap { /** The default number of buckets to use */ private static final int DEFAULT_BUCKETS = 255; /** The array of buckets, where the actual data is held */ private final Node[] buckets; /** The matching array of locks */ private final Lock[] locks; /** * Initializes the map with the default number of buckets (255). */ public StaticBucketMap() { this(DEFAULT_BUCKETS); } /** * Initializes the map with a specified number of buckets. The number * of buckets is never below 17, and is always an odd number (StaticBucketMap * ensures this). The number of buckets is inversely proportional to the * chances for thread contention. The fewer buckets, the more chances for * thread contention. The more buckets the fewer chances for thread * contention. * * @param numBuckets the number of buckets for this map */ @SuppressWarnings("unchecked") public StaticBucketMap(final int numBuckets) { int size = Math.max(17, numBuckets); // Ensure that bucketSize is never a power of 2 (to ensure maximal distribution) if (size % 2 == 0) { size--; } buckets = new Node[size]; locks = new Lock[size]; for (int i = 0; i < size; i++) { locks[i] = new Lock(); } } //----------------------------------------------------------------------- /** * Determine the exact hash entry for the key. The hash algorithm * is rather simplistic, but it does the job: * *

     *   He = |Hk mod n|
     * 
* *

* He is the entry's hashCode, Hk is the key's hashCode, and n is * the number of buckets. *

*/ private int getHash(final Object key) { if (key == null) { return 0; } int hash = key.hashCode(); hash += ~(hash << 15); hash ^= (hash >>> 10); hash += (hash << 3); hash ^= (hash >>> 6); hash += ~(hash << 11); hash ^= (hash >>> 16); hash %= buckets.length; return (hash < 0) ? hash * -1 : hash; } /** * Gets the current size of the map. * The value is computed fresh each time the method is called. * * @return the current size */ @Override public int size() { int cnt = 0; for (int i = 0; i < buckets.length; i++) { synchronized(locks[i]) { cnt += locks[i].size; } } return cnt; } /** * Checks if the size is currently zero. * * @return true if empty */ @Override public boolean isEmpty() { return (size() == 0); } /** * Gets the value associated with the key. * * @param key the key to retrieve * @return the associated value */ @Override public V get(final Object key) { final int hash = getHash(key); synchronized (locks[hash]) { Node n = buckets[hash]; while (n != null) { if (n.key == key || (n.key != null && n.key.equals(key))) { return n.value; } n = n.next; } } return null; } /** * Checks if the map contains the specified key. * * @param key the key to check * @return true if found */ @Override public boolean containsKey(final Object key) { final int hash = getHash(key); synchronized (locks[hash]) { Node n = buckets[hash]; while (n != null) { if (n.key == key || (n.key != null && n.key.equals(key))) { return true; } n = n.next; } } return false; } /** * Checks if the map contains the specified value. * * @param value the value to check * @return true if found */ @Override public boolean containsValue(final Object value) { for (int i = 0; i < buckets.length; i++) { synchronized (locks[i]) { Node n = buckets[i]; while (n != null) { if (n.value == value || (n.value != null && n.value.equals(value))) { return true; } n = n.next; } } } return false; } //----------------------------------------------------------------------- /** * Puts a new key value mapping into the map. * * @param key the key to use * @param value the value to use * @return the previous mapping for the key */ @Override public V put(final K key, final V value) { final int hash = getHash(key); synchronized (locks[hash]) { Node n = buckets[hash]; if (n == null) { n = new Node<>(); n.key = key; n.value = value; buckets[hash] = n; locks[hash].size++; return null; } // Set n to the last node in the linked list. Check each key along the way // If the key is found, then change the value of that node and return // the old value. for (Node next = n; next != null; next = next.next) { n = next; if (n.key == key || (n.key != null && n.key.equals(key))) { final V returnVal = n.value; n.value = value; return returnVal; } } // The key was not found in the current list of nodes, add it to the end // in a new node. final Node newNode = new Node<>(); newNode.key = key; newNode.value = value; n.next = newNode; locks[hash].size++; } return null; } /** * Removes the specified key from the map. * * @param key the key to remove * @return the previous value at this key */ @Override public V remove(final Object key) { final int hash = getHash(key); synchronized (locks[hash]) { Node n = buckets[hash]; Node prev = null; while (n != null) { if (n.key == key || (n.key != null && n.key.equals(key))) { // Remove this node from the linked list of nodes. if (null == prev) { // This node was the head, set the next node to be the new head. buckets[hash] = n.next; } else { // Set the next node of the previous node to be the node after this one. prev.next = n.next; } locks[hash].size--; return n.value; } prev = n; n = n.next; } } return null; } //----------------------------------------------------------------------- /** * Gets the key set. * * @return the key set */ @Override public Set keySet() { return new KeySet(); } /** * Gets the values. * * @return the values */ @Override public Collection values() { return new Values(); } /** * Gets the entry set. * * @return the entry set */ @Override public Set> entrySet() { return new EntrySet(); } //----------------------------------------------------------------------- /** * Puts all the entries from the specified map into this map. * This operation is not atomic and may have undesired effects. * * @param map the map of entries to add */ @Override public void putAll(final Map map) { for (final Map.Entry entry : map.entrySet()) { put(entry.getKey(), entry.getValue()); } } /** * Clears the map of all entries. */ @Override public void clear() { for (int i = 0; i < buckets.length; i++) { final Lock lock = locks[i]; synchronized (lock) { buckets[i] = null; lock.size = 0; } } } /** * Compares this map to another, as per the Map specification. * * @param obj the object to compare to * @return true if equal */ @Override public boolean equals(final Object obj) { if (obj == this) { return true; } if (obj instanceof Map == false) { return false; } final Map other = (Map) obj; return entrySet().equals(other.entrySet()); } /** * Gets the hash code, as per the Map specification. * * @return the hash code */ @Override public int hashCode() { int hashCode = 0; for (int i = 0; i < buckets.length; i++) { synchronized (locks[i]) { Node n = buckets[i]; while (n != null) { hashCode += n.hashCode(); n = n.next; } } } return hashCode; } //----------------------------------------------------------------------- /** * The Map.Entry for the StaticBucketMap. */ private static final class Node implements Map.Entry, KeyValue { protected K key; protected V value; protected Node next; @Override public K getKey() { return key; } @Override public V getValue() { return value; } @Override public int hashCode() { return ((key == null ? 0 : key.hashCode()) ^ (value == null ? 0 : value.hashCode())); } @Override public boolean equals(final Object obj) { if (obj == this) { return true; } if (obj instanceof Map.Entry == false) { return false; } final Map.Entry e2 = (Map.Entry) obj; return ( (key == null ? e2.getKey() == null : key.equals(e2.getKey())) && (value == null ? e2.getValue() == null : value.equals(e2.getValue()))); } @Override public V setValue(final V obj) { final V retVal = value; value = obj; return retVal; } } /** * The lock object, which also includes a count of the nodes in this lock. */ private final static class Lock { public int size; } //----------------------------------------------------------------------- private class BaseIterator { private final ArrayList> current = new ArrayList<>(); private int bucket; private Map.Entry last; public boolean hasNext() { if (current.size() > 0) { return true; } while (bucket < buckets.length) { synchronized (locks[bucket]) { Node n = buckets[bucket]; while (n != null) { current.add(n); n = n.next; } bucket++; if (current.size() > 0) { return true; } } } return false; } protected Map.Entry nextEntry() { if (!hasNext()) { throw new NoSuchElementException(); } last = current.remove(current.size() - 1); return last; } public void remove() { if (last == null) { throw new IllegalStateException(); } StaticBucketMap.this.remove(last.getKey()); last = null; } } private class EntryIterator extends BaseIterator implements Iterator> { @Override public Map.Entry next() { return nextEntry(); } } private class ValueIterator extends BaseIterator implements Iterator { @Override public V next() { return nextEntry().getValue(); } } private class KeyIterator extends BaseIterator implements Iterator { @Override public K next() { return nextEntry().getKey(); } } private class EntrySet extends AbstractSet> { @Override public int size() { return StaticBucketMap.this.size(); } @Override public void clear() { StaticBucketMap.this.clear(); } @Override public Iterator> iterator() { return new EntryIterator(); } @Override public boolean contains(final Object obj) { final Map.Entry entry = (Map.Entry) obj; final int hash = getHash(entry.getKey()); synchronized (locks[hash]) { for (Node n = buckets[hash]; n != null; n = n.next) { if (n.equals(entry)) { return true; } } } return false; } @Override public boolean remove(final Object obj) { if (obj instanceof Map.Entry == false) { return false; } final Map.Entry entry = (Map.Entry) obj; final int hash = getHash(entry.getKey()); synchronized (locks[hash]) { for (Node n = buckets[hash]; n != null; n = n.next) { if (n.equals(entry)) { StaticBucketMap.this.remove(n.getKey()); return true; } } } return false; } } private class KeySet extends AbstractSet { @Override public int size() { return StaticBucketMap.this.size(); } @Override public void clear() { StaticBucketMap.this.clear(); } @Override public Iterator iterator() { return new KeyIterator(); } @Override public boolean contains(final Object obj) { return StaticBucketMap.this.containsKey(obj); } @Override public boolean remove(final Object obj) { final int hash = getHash(obj); synchronized (locks[hash]) { for (Node n = buckets[hash]; n != null; n = n.next) { final Object k = n.getKey(); if ((k == obj) || ((k != null) && k.equals(obj))) { StaticBucketMap.this.remove(k); return true; } } } return false; } } private class Values extends AbstractCollection { @Override public int size() { return StaticBucketMap.this.size(); } @Override public void clear() { StaticBucketMap.this.clear(); } @Override public Iterator iterator() { return new ValueIterator(); } } /** * Prevents any operations from occurring on this map while the * given {@link Runnable} executes. This method can be used, for * instance, to execute a bulk operation atomically: * *
     *    staticBucketMapInstance.atomic(new Runnable() {
     *        public void run() {
     *            staticBucketMapInstance.putAll(map);
     *        }
     *    });
     *  
* * It can also be used if you need a reliable iterator: * *
     *    staticBucketMapInstance.atomic(new Runnable() {
     *        public void run() {
     *            Iterator iterator = staticBucketMapInstance.iterator();
     *            while (iterator.hasNext()) {
     *                foo(iterator.next();
     *            }
     *        }
     *    });
     *  
* * Implementation note: This method requires a lot of time * and a ton of stack space. Essentially a recursive algorithm is used * to enter each bucket's monitor. If you have twenty thousand buckets * in your map, then the recursive method will be invoked twenty thousand * times. You have been warned. * * @param r the code to execute atomically */ public void atomic(final Runnable r) { if (r == null) { throw new NullPointerException(); } atomic(r, 0); } private void atomic(final Runnable r, final int bucket) { if (bucket >= buckets.length) { r.run(); return; } synchronized (locks[bucket]) { atomic(r, bucket + 1); } } }




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