数据结构之 链表 和 数组 hashmap hashtable linkedlist arraylist 源码 解析 都是拿什么实现的

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最近研究了下

hashmap 和 hashtable

linkedlist 和 arraylist

发现其中的一些知识总结下 他们都是使用什么实现的

首先介绍下链表和数组

数组

数组存储区间是连续的,占用内存严重,故空间复杂的很大。但数组的二分查找时间复杂度小,为O(1);数组的特点是:寻址容易,插入和删除困难;

链表

链表存储区间离散,占用内存比较宽松,故空间复杂度很小,但时间复杂度很大,达O(N)。链表的特点是:寻址困难,插入和删除容易。

 

linkedlist 使用的是链表实现的

//链表 
private transient Entry<E> header = new Entry<E>(null, null, null);
//长度    
private transient int size = 0;
//条目类
private static class Entry<E> {
	E element;
	Entry<E> next;
	Entry<E> previous;

	Entry(E element, Entry<E> next, Entry<E> previous) {
	    this.element = element;
	    this.next = next;
	    this.previous = previous;
	}
    }

/**
     * Appends the specified element to the end of this list.
     *
     * <p>This method is equivalent to {@link #addLast}.
     *
     * @param e element to be appended to this list
     * @return <tt>true</tt> (as specified by {@link Collection#add})
     */
    public boolean add(E e) {
    //将数据添加到列表中
	addBefore(e, header);
        return true;
    }

private Entry<E> addBefore(E e, Entry<E> entry) {
	Entry<E> newEntry = new Entry<E>(e, entry, entry.previous);
	newEntry.previous.next = newEntry;
	newEntry.next.previous = newEntry;
	size++;
	modCount++;
	return newEntry;
    }

   

arraylist 使用的是数组实现的

/**
     * The array buffer into which the elements of the ArrayList are stored.
     * The capacity of the ArrayList is the length of this array buffer.
     */
    private transient Object[] elementData;
 
/**
     * Appends the specified element to the end of this list.
     *
     * @param e element to be appended to this list
     * @return <tt>true</tt> (as specified by {@link Collection#add})
     */
    public boolean add(E e) {
	ensureCapacity(size + 1);  // Increments modCount!!
	elementData[size++] = e;
	return true;
    }

 /**
     * Increases the capacity of this <tt>ArrayList</tt> instance, if
     * necessary, to ensure that it can hold at least the number of elements
     * specified by the minimum capacity argument.
     *
     * @param   minCapacity   the desired minimum capacity
     */
    public void ensureCapacity(int minCapacity) {
	modCount++;
	int oldCapacity = elementData.length;
	if (minCapacity > oldCapacity) {
	    Object oldData[] = elementData;
	    int newCapacity = (oldCapacity * 3)/2 + 1;
    	    if (newCapacity < minCapacity)
		newCapacity = minCapacity;
            // minCapacity is usually close to size, so this is a win:
            elementData = Arrays.copyOf(elementData, newCapacity);
	}
    }


hashmap 和 hashtable使用的是 hash表 实现的

 

哈希表

那么我们能不能综合两者的特性,做出一种寻址容易,插入删除也容易的数据结构?答案是肯定的,这就是我们要提起的哈希表。哈希表((Hash table)既满足了数据的查找方便,同时不占用太多的内容空间,使用也十分方便。

看张图

数组和列表实现原理就是:

通过key值计算出hash值

通过hash值找到在数组中的位置

然后对hash值一样的放到对应的链表中 链表不断往后加

hashtable 大部分方法都加了 synchronized关键字所以是线程安全的并且 value不可以为null(下边是源码) key 如果等于nullname计算的hash值就等于0也就是说会放到第一个位置上

/**
     * Hashtable collision list.
     */
    private static class Entry<K,V> implements Map.Entry<K,V> {
	int hash;
	K key;
	V value;
	Entry<K,V> next; 
 /**
     * Maps the specified <code>key</code> to the specified
     * <code>value</code> in this hashtable. Neither the key nor the
     * value can be <code>null</code>. <p>
     *
     * The value can be retrieved by calling the <code>get</code> method
     * with a key that is equal to the original key.
     *
     * @param      key     the hashtable key
     * @param      value   the value
     * @return     the previous value of the specified key in this hashtable,
     *             or <code>null</code> if it did not have one
     * @exception  NullPointerException  if the key or value is
     *               <code>null</code>
     * @see     Object#equals(Object)
     * @see     #get(Object)
     */
public synchronized V put(K key, V value) {
	// Make sure the value is not null
	if (value == null) {
	    throw new NullPointerException();
	}

	// Makes sure the key is not already in the hashtable.
	Entry tab[] = table;
	int hash = key.hashCode();
	int index = (hash & 0x7FFFFFFF) % tab.length;
	for (Entry<K,V> e = tab[index] ; e != null ; e = e.next) {
	    if ((e.hash == hash) && e.key.equals(key)) {
		V old = e.value;
		e.value = value;
		return old;
	    }
	}

	modCount++;
	if (count >= threshold) {
	    // Rehash the table if the threshold is exceeded
	    rehash();

            tab = table;
            index = (hash & 0x7FFFFFFF) % tab.length;
	}

	// Creates the new entry.
	Entry<K,V> e = tab[index];
	tab[index] = new Entry<K,V>(hash, key, value, e);
	count++;
	return null;
    }

 hashmap key value都可以为null(“下边是源码”)如果key等于null 将放到第一个位置,如果第一个位置有内容将被替换

  static class Entry<K,V> implements Map.Entry<K,V> {
        final K key;
        V value;
        Entry<K,V> next;
        final int hash;

/**
     * Associates the specified value with the specified key in this map.
     * If the map previously contained a mapping for the key, the old
     * value is replaced.
     *
     * @param key key with which the specified value is to be associated
     * @param value value to be associated with the specified key
     * @return the previous value associated with <tt>key</tt>, or
     *         <tt>null</tt> if there was no mapping for <tt>key</tt>.
     *         (A <tt>null</tt> return can also indicate that the map
     *         previously associated <tt>null</tt> with <tt>key</tt>.)
     */
 public V put(K key, V value) {
        if (key == null)
            return putForNullKey(value);
        int hash = hash(key.hashCode());
        int i = indexFor(hash, table.length);
        for (Entry<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;
    }

 /**
     * Offloaded version of put for null keys
     */
    private V putForNullKey(V value) {
        for (Entry<K,V> e = table[0]; e != null; e = e.next) {
            if (e.key == null) {
                V oldValue = e.value;
                e.value = value;
                e.recordAccess(this);
                return oldValue;
            }
        }
        modCount++;
        addEntry(0, null, value, 0);
        return null;
    }

 

总结

 hashmap和hashtable 是使用哈希表实现的(也就是 数组加链表一起实现的)

linkedlist 是使用链表实现的

arraylist是使用数组实现的