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Collections-Linkedhashmap - 赵小黑的博客
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<a
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href="/hugo-theme-pure/collections/linkedhashmap/"
>Collections-Linkedhashmap</a
>
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<div class="article-meta">
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<a href="https://xiaohei.im/hugo-theme-pure/collections/linkedhashmap/" class="article-date">
<time datetime="2019-08-15 13:19:18 +0800 CST" itemprop="datePublished">2019-08-15</time>
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<a class="article-category-link" href="/hugo-theme-pure/categories/corejava/"> CoreJava </a>
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<a class="article-tag-link" href="/hugo-theme-pure/tags/collections/"> collections </a>
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<span class="post-comment"><i class="icon icon-comment"></i> <a href="/hugo-theme-pure/collections/linkedhashmap/#comments"
class="article-comment-link">评论</a></span>
<span class="post-wordcount hidden-xs" itemprop="wordCount">字数统计:1027字</span>
<span class="post-readcount hidden-xs" itemprop="timeRequired">阅读时长:3分 </span>
</div>
</div>
<div class="article-entry marked-body js-toc-content" itemprop="articleBody">
<blockquote>
<p>参考blog:<a href="https://www.tianxiaobo.com/2018/01/24/LinkedHashMap-%E6%BA%90%E7%A0%81%E8%AF%A6%E7%BB%86%E5%88%86%E6%9E%90%EF%BC%88JDK1-8%EF%BC%89/">田小波的blog</a></p>
</blockquote>
<h2 id="介绍">介绍</h2>
<p>LinkedHashMap 继承自 HashMap，在 HashMap 基础上，通过维护一条<code>双向链表</code>，解决了 HashMap 不能随时保持遍历顺序和插入顺序一致的问题。除此之外，LinkedHashMap 对访问顺序也提供了相关支持。在一些场景下，该特性很有用，比如缓存。在实现上，LinkedHashMap 很多方法直接继承自 HashMap，仅为维护双向链表覆写了部分方法。还提供了一些增删改查操作时的回调方法.</p>
<h2 id="源码介绍">源码介绍</h2>
<h3 id="entry">Entry</h3>
<p>LinkedHashMap的节点 LinkedHashMap.Entry继承了hashMap的Node 增加了before和after两个节点,用于维护链表有序</p>
<pre><code class="language-java"> static class Entry<K,V> extends HashMap.Node<K,V> {
Entry<K,V> before, after;
Entry(int hash, K key, V value, Node<K,V> next) {
super(hash, key, value, next);
}
}
</code></pre>
<h3 id="变量">变量</h3>
<pre><code class="language-java"> /**
* 头结点
* The head (eldest) of the doubly linked list.
*/
transient LinkedHashMap.Entry<K,V> head;
/**
* 尾节点
* The tail (youngest) of the doubly linked list.
*/
transient LinkedHashMap.Entry<K,V> tail;
/* 设置链表排序规则: true 按照访问顺序排序 false按照插入顺序排序*/
final boolean accessOrder;
</code></pre>
<h3 id="构造参数">构造参数</h3>
<p>LinkedHashMap基本都是复用的的hashmap的构造方法,只是对<code>accessOrder</code>初始化</p>
<pre><code class="language-java"> public LinkedHashMap(int initialCapacity, float loadFactor) {
super(initialCapacity, loadFactor);
accessOrder = false;
}
public LinkedHashMap(int initialCapacity) {
super(initialCapacity);
accessOrder = false;
}
public LinkedHashMap() {
super();
accessOrder = false;
}
public LinkedHashMap(Map<? extends K, ? extends V> m) {
super();
accessOrder = false;
putMapEntries(m, false);
}
public LinkedHashMap(int initialCapacity,
float loadFactor,
boolean accessOrder) {
super(initialCapacity, loadFactor);
this.accessOrder = accessOrder;
}
</code></pre>
<h3 id="基本操作">基本操作</h3>
<pre><code class="language-java"> /* get操作:和hashmap逻辑一致,只是会判断是否根据访问顺序排序 */
public V get(Object key) {
Node<K,V> e;
if ((e = getNode(hash(key), key)) == null)
return null;
if (accessOrder)
afterNodeAccess(e);//访问后的操作,将节点放到最后
return e.value;
}
/**
* 将节点移到最后的逻辑很简单
* 将该节点的before,after节点相连,并将该节点挂到last上
* 如果该节点的before为头结点,则head=after 否则before.after = after
* 如果该节点的after为尾节点,则last=before 否则 after.before = before
* 最后再把该节点挂在尾节点上
*/
void afterNodeAccess(Node<K,V> e) { // move node to last
LinkedHashMap.Entry<K,V> last;
if (accessOrder && (last = tail) != e) {//e不为尾节点时
LinkedHashMap.Entry<K,V> p =
(LinkedHashMap.Entry<K,V>)e, b = p.before, a = p.after;//获取前后节点
p.after = null;
if (b == null)//如果b为头结点时
head = a;
else
b.after = a;//否则与a连接
if (a != null)//a不为尾节点时
a.before = b;//与b连接
else
last = b;
if (last == null)//说明链表是空的
head = p;
else {
p.before = last;
last.after = p;
}
tail = p;//挂靠到tail上
++modCount;
}
}
/**
* return true 删除链表中最久的entry
* 一般重写来实现简单版的LRU缓存
*/
protected boolean removeEldestEntry(Map.Entry<K,V> eldest) {
return false;
}
/* 新建一个node 并插入到尾部 */
Node<K,V> newNode(int hash, K key, V value, Node<K,V> e) {
LinkedHashMap.Entry<K,V> p =
new LinkedHashMap.Entry<K,V>(hash, key, value, e);
linkNodeLast(p);
return p;
}
// link at the end of list
private void linkNodeLast(LinkedHashMap.Entry<K,V> p) {
LinkedHashMap.Entry<K,V> last = tail;
tail = p;
if (last == null)//链表为null时
head = p;
else {
p.before = last;
last.after = p;
}
}
</code></pre>
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