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HashMap分析

HashMap分析

作者: 机智的黑猫 | 来源:发表于2017-07-07 18:08 被阅读0次

    首先从构造方法说起,

    初始化有两个参数
    initialCapacity 代表初始容量,实际容量为大于initialCapacity的2的幂次数
    之后会初始化一个长度为initialCapacity的数组,姑且把数组中每个元素定义为一个桶。默认桶内个数为0 。随着桶中个数的增加,当平均每个桶的元素个数大于loadFactor时,则触发重构。

       public HashMap(int initialCapacity, float loadFactor) {
            if (initialCapacity < 0)
                throw new IllegalArgumentException("Illegal initial capacity: " +
                                                   initialCapacity);
            if (initialCapacity > MAXIMUM_CAPACITY) {
                initialCapacity = MAXIMUM_CAPACITY;
            } else if (initialCapacity < DEFAULT_INITIAL_CAPACITY) {
                initialCapacity = DEFAULT_INITIAL_CAPACITY;
            }
    
            if (loadFactor <= 0 || Float.isNaN(loadFactor))
                throw new IllegalArgumentException("Illegal load factor: " +
                                                   loadFactor);
            // Android-Note: We always use the default load factor of 0.75f.
    
            // This might appear wrong but it's just awkward design. We always call
            // inflateTable() when table == EMPTY_TABLE. That method will take "threshold"
            // to mean "capacity" and then replace it with the real threshold (i.e, multiplied with
            // the load factor).
            threshold = initialCapacity;
            init();
        }
    

    HashMap里存放的是一个特殊的entity,格式如下

     static class HashMapEntry<K,V> implements Map.Entry<K,V> {
            final K key;
            V value;
            HashMapEntry<K,V> next;
            int hash;
    
            /**
             * Creates new entry.
             */
            HashMapEntry(int h, K k, V v, HashMapEntry<K,V> n) {
                value = v;
                next = n;
                key = k;
                hash = h;
            }
    
            public final K getKey() {
                return key;
            }
    
            public final V getValue() {
                return value;
            }
    
            public final V setValue(V newValue) {
                V oldValue = value;
                value = newValue;
                return oldValue;
            }
    
            public final boolean equals(Object o) {
                if (!(o instanceof Map.Entry))
                    return false;
                Map.Entry e = (Map.Entry)o;
                Object k1 = getKey();
                Object k2 = e.getKey();
                if (k1 == k2 || (k1 != null && k1.equals(k2))) {
                    Object v1 = getValue();
                    Object v2 = e.getValue();
                    if (v1 == v2 || (v1 != null && v1.equals(v2)))
                        return true;
                }
                return false;
            }
    
            public final int hashCode() {
                return Objects.hashCode(getKey()) ^ Objects.hashCode(getValue());
            }
    
            public final String toString() {
                return getKey() + "=" + getValue();
            }
    
            /**
             * This method is invoked whenever the value in an entry is
             * overwritten by an invocation of put(k,v) for a key k that's already
             * in the HashMap.
             */
            void recordAccess(HashMap<K,V> m) {
            }
    
            /**
             * This method is invoked whenever the entry is
             * removed from the table.
             */
            void recordRemoval(HashMap<K,V> m) {
            }
        }
    

    既然是HashMap那肯定跟Hash有关。每次添加元素时,根据key的hash值计算出一个hashint,之后根据hashing%桶的个数获取一个index,再根据这个index吧元素放到对应的桶里。如果桶里有旧对象则让新对象指向旧对象。如果key为null则放在第0个桶里

    public V put(K key, V value) {
            if (table == EMPTY_TABLE) {
                inflateTable(threshold);
            }
            if (key == null)
                return putForNullKey(value);
            int hash = sun.misc.Hashing.singleWordWangJenkinsHash(key);
            int i = indexFor(hash, table.length);
            for (HashMapEntry<K,V> e = table[i]; e != null; e = e.next) {
                Object k;
                if (e.hash == hash && ((k = e.key) == key || key.equals(k))) {
                    V oldValue = e.value;
                    e.value = value;
                    e.recordAccess(this);
                    return oldValue;
                }
            }
    
            modCount++;
            addEntry(hash, key, value, i);
            return null;
        }
    
    

    get方法也是类似根据key确定具体哪个桶里再遍历链表比对key值获取元素

     final Entry<K,V> getEntry(Object key) {
            if (size == 0) {
                return null;
            }
    
            int hash = (key == null) ? 0 : sun.misc.Hashing.singleWordWangJenkinsHash(key);
            for (HashMapEntry<K,V> e = table[indexFor(hash, table.length)];
                 e != null;
                 e = e.next) {
                Object k;
                if (e.hash == hash &&
                    ((k = e.key) == key || (key != null && key.equals(k))))
                    return e;
            }
            return null;
        }
    
    

    当总对象个数超过预定阈值触发resize 桶的个数翻倍

     void resize(int newCapacity) {
            HashMapEntry[] oldTable = table;
            int oldCapacity = oldTable.length;
            if (oldCapacity == MAXIMUM_CAPACITY) {
                threshold = Integer.MAX_VALUE;
                return;
            }
    
            HashMapEntry[] newTable = new HashMapEntry[newCapacity];
            transfer(newTable);
            table = newTable;
            threshold = (int)Math.min(newCapacity * loadFactor, MAXIMUM_CAPACITY + 1);
        }
    
    

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