摘要:我们来看相关源码我们看到封装的和操作其实就是对头结点的操作。迭代器通过指针,能指向下一个节点,无需做额外的遍历,速度非常快。不同的遍历性能差距极大,推荐使用迭代器进行遍历。
LinkedList上一篇文章我们介绍了JDK中ArrayList的实现,ArrayList底层结构是一个Object[]数组,通过拷贝,复制等一系列封装的操作,将数组封装为一个几乎是无限的容器。今天我们来介绍JDK中List接口的另外一种实现,基于链表结构的LinkedList。ArrayList由于基于数组,所以在随机访问方面优势比较明显,在删除、插入方面性能会相对偏弱些(当然与删除、插入的位置有很大关系)。那么LinkedList有哪些优势呢?它在删除、插入方面的操作很简单(只是调整相关指针而已)。但是随机访问方面要逊色写。下面我们还是从源码上来看下这种链表结构的List。
LinkedList类主要字段transient int size = 0; /** * Pointer to first node. * Invariant: (first == null && last == null) || * (first.prev == null && first.item != null) */ transient Nodefirst; /** * Pointer to last node. * Invariant: (first == null && last == null) || * (last.next == null && last.item != null) */ transient Node last;
我们看到字段非常少,size表示当前节点数量,first指向链表的起始元素、last指向链表的最后一个元素。
Node结构从上面主要字段看出,LinkedList链表的Item就是一个Node结构,那么Node结构是怎样的呢?源码如下:
private static class Node{ E item; Node next; Node prev; Node(Node prev, E element, Node next) { this.item = element; this.next = next; this.prev = prev; } }
我们看到Node结构包含一个前驱prev指针,item(value)、后继next指针三个部分。结合上面的描述,我们知道了LinkedList的主要结构。如图:
第一个节点的prev指向NULL,最后一个节点的next指向NULL。其余节点通过prev与next串联起来,LinkedList提供了从任意节点都能进行向前或先后遍历的能力。
LinkedList相关方法解析 构造函数
/**
* Constructs an empty list.
*/
public LinkedList() {
}
/**
* Constructs a list containing the elements of the specified
* collection, in the order they are returned by the collection"s"
* iterator.
*
* @param c the collection whose elements are to be placed into this list
* @throws NullPointerException if the specified collection is null
*/
public LinkedList(Collection<");
由于LinkedList是通过prev与next指针链接起来的,有元素添加时只需要一个个设置指针将其链接起来即可,所以构造函数相对较简洁。我们重点来看下第二个构造函数中的addAll方法。
addAll方法/**
* Appends all of the elements in the specified collection to the end of
* this list, in the order that they are returned by the specified
* collection"s iterator. The behavior of this operation is undefined if
* the specified collection is modified while the operation is in
* progress. (Note that this will occur if the specified collection is
* this list, and it"s nonempty.)
*
* @param c collection containing elements to be added to this list
* @return {@code true} if this list changed as a result of the call
* @throws NullPointerException if the specified collection is null
*/
public boolean addAll(Collection<");return addAll(size, c);
}
/**
* Inserts all of the elements in the specified collection into this
* list, starting at the specified position. Shifts the element
* currently at that position (if any) and any subsequent elements to
* the right (increases their indices). The new elements will appear
* in the list in the order that they are returned by the
* specified collection"s iterator."
*
* @param index index at which to insert the first element
* from the specified collection
* @param c collection containing elements to be added to this list
* @return {@code true} if this list changed as a result of the call
* @throws IndexOutOfBoundsException {@inheritDoc}
* @throws NullPointerException if the specified collection is null
*/
public boolean addAll(int index, Collection<");if (numNew == 0)
return false;
Node pred, succ;
if (index == size) {
succ = null;
pred = last;
} else {
succ = node(index);
pred = succ.prev;
}
for (Object o : a) {
@SuppressWarnings("unchecked") E e = (E) o;
Node newNode = new Node<>(pred, e, null);
if (pred == null)
first = newNode;
else
pred.next = newNode;
pred = newNode;
}
if (succ == null) {
last = pred;
} else {
pred.next = succ;
succ.prev = pred;
}
size += numNew;
modCount++;
return true;
}
/**
* Returns the (non-null) Node at the specified element index.
*/
Node node(int index) {
// assert isElementIndex(index);
if (index < (size >> 1)) {
Node x = first;
for (int i = 0; i < index; i++)
x = x.next;
return x;
} else {
Node x = last;
for (int i = size - 1; i > index; i--)
x = x.prev;
return x;
}
}
addAll方法是将Collection集合插入链表。下面我们来仔细分析整个过程(涉及比较多的指针操作)。
首先代码检查index的值的正确性,如果index位置不合理会直接抛出异常。
然后将待插入集合转化成数组,判断集合长度。
根据index值,分别设置pred和succ指针。如果插入的位置是当前链表尾部,那么pred指向最后一个元素,succ暂时设置为NULL即可。如果插入位置在链表中间,那么先通过node方法找到当前链表的index位置的元素,succ指向它。pred指向待插入位置的前一个节点,succ指向当前index位置的节点,新插入的节点就是在pred和succ节点之间。
for循环创建Node节点,先将pred.next指向新创建的节点,然后pred指向后移,指向新创建的Node节点,重复上述过程,这样一个个节点就被创建,链接起来了。
最后根据情况不同,将succ指向的那个节点作为最后的节点,当然如果succ为NULL的话,last指针指向pred。
removeFirst()方法和removeLast()方法removeFirst方法会返回当前链表的头部节点值,然后将头结点指向下一个节点,我们通过源码来分析:
/**
* Removes and returns the first element from this list.
*
* @return the first element from this list
* @throws NoSuchElementException if this list is empty
*/
public E removeFirst() {
final Node f = first;
if (f == null)
throw new NoSuchElementException();
return unlinkFirst(f);
}
/**
* Unlinks non-null first node f.
*/
private E unlinkFirst(Node f) {
// assert f == first && f != null;
final E element = f.item;
final Node next = f.next;
f.item = null;
f.next = null; // help GC
first = next;
if (next == null)
last = null;
else
next.prev = null;
size--;
modCount++;
return element;
}
我们看到主要逻辑在unlinkFirst方法中,逻辑还是比较清晰的,first指针指向next节点,该节点作为新的链表头部,只是最后需要处理下边界值(next==null)的情况。removeLast方法类似,大家可以去分析源码。
addFirst方法和addLast()方法addFirst方法是将新节点插入链表,并且将新节点作为链表头部,下面我们来看源码:
/**
* Inserts the specified element at the beginning of this list.
*
* @param e the element to add
*/
public void addFirst(E e) {
linkFirst(e);
}
/**
* Links e as first element.
*/
private void linkFirst(E e) {
final Node f = first;
final Node newNode = new Node<>(null, e, f);
first = newNode;
if (f == null)
last = newNode;
else
f.prev = newNode;
size++;
modCount++;
}
代码逻辑比较清晰,newNode节点在创建时,由于是作为新的头结点的,所以prev必须是NULL的,next是指向当前头结点f。接下来就是设置first,处理边界值了。
下面我们来看下addLast方法,源码如下:
/**
* Appends the specified element to the end of this list.
*
* This method is equivalent to {@link #add}.
*
* @param e the element to add
*/
public void addLast(E e) {
linkLast(e);
}
/**
* Links e as last element.
*/
void linkLast(E e) {
final Node l = last;
final Node newNode = new Node<>(l, e, null);
last = newNode;
if (l == null)
first = newNode;
else
l.next = newNode;
size++;
modCount++;
}
add方法和remove方法
这两个方法是我们使用频率很高的方法,我们来看下其内部实现:
/**
* Appends the specified element to the end of this list.
*
* This method is equivalent to {@link #addLast}.
*
* @param e element to be appended to this list
* @return {@code true} (as specified by {@link Collection#add})
*/
public boolean add(E e) {
linkLast(e);
return true;
}
/**
* Removes the first occurrence of the specified element from this list,
* if it is present. If this list does not contain the element, it is
* unchanged. More formally, removes the element with the lowest index
* {@code i} such that
* (o==null ");if such an element exists). Returns {@code true} if this list
* contained the specified element (or equivalently, if this list
* changed as a result of the call).
*
* @param o element to be removed from this list, if present
* @return {@code true} if this list contained the specified element
*/
public boolean remove(Object o) {
if (o == null) {
for (Node x = first; x != null; x = x.next) {
if (x.item == null) {
unlink(x);
return true;
}
}
} else {
for (Node x = first; x != null; x = x.next) {
if (o.equals(x.item)) {
unlink(x);
return true;
}
}
}
return false;
}
/**
* Unlinks non-null node x.
*/
E unlink(Node x) {
// assert x != null;
final E element = x.item;
final Node next = x.next;
final Node prev = x.prev;
if (prev == null) {
first = next;
} else {
prev.next = next;
x.prev = null;
}
if (next == null) {
last = prev;
} else {
next.prev = prev;
x.next = null;
}
x.item = null;
size--;
modCount++;
return element;
}
我们看到add方法其实就是对linkLast方法的封装(当然,这是末尾添加)。remove方法逻辑会复杂些,需要先找到指定节点,然后调用unlink方法。
unlink方法解析
我们看到unlink方法首先将需要删除的节点的prev和next保存起来,因为后面需要将两者连接起来。然后将prev和next分别判断设置(包括边界值的考虑),最后将x节点的数据设置为NULL。
LinkedList链表结构的,它的clear方法是如何实现的呢?我们来看下:
/**
* Removes all of the elements from this list.
* The list will be empty after this call returns.
*/
public void clear() {
// Clearing all of the links between nodes is "unnecessary", but:
// - helps a generational GC if the discarded nodes inhabit
// more than one generation
// - is sure to free memory even if there is a reachable Iterator
for (Node x = first; x != null; ) {
Node next = x.next;
x.item = null;
x.next = null;
x.prev = null;
x = next;
}
first = last = null;
size = 0;
modCount++;
}
代码还是比较清晰的,就是从头结点开始,将Node节点一个个的设置为NULL,方便GC回收。
LinkedList与队列操作有数据结构基础的同学应该都知道队列的结构,这是一种先进先出的结构。从JDK1.5开始,LinkedList内部集成了队列的操作,LinkedList可以当做一个基本的队列进行使用。下面我们从队列的角度来看下LinkedList提供的相关方法。
peek、poll、element、remove方法/**
* Retrieves, but does not remove, the head (first element) of this list.
*
* @return the head of this list, or {@code null} if this list is empty
* @since 1.5
*/
public E peek() {
final Node f = first;
return (f == null) ");return the head of this list
* @throws NoSuchElementException if this list is empty
* @since 1.5
*/
public E element() {
return getFirst();
}
/**
* Retrieves and removes the head (first element) of this list.
*
* @return the head of this list, or {@code null} if this list is empty
* @since 1.5
*/
public E poll() {
final Node f = first;
return (f == null) ");return the head of this list
* @throws NoSuchElementException if this list is empty
* @since 1.5
*/
public E remove() {
return removeFirst();
}
从上面的方法,我们知道peek、element方法只返回队列头部数据,不移除头部。而poll、remove方法返回队列头部数据的同是,还会移除头部。
offer方法/**
* Adds the specified element as the tail (last element) of this list.
*
* @param e the element to add
* @return {@code true} (as specified by {@link Queue#offer})
* @since 1.5
*/
public boolean offer(E e) {
return add(e);
}
从上面的代码中我们看到,offer方法其实就是入队操作。
LinkedList与双端队列上面我们介绍了使用LinkedList来作为队列的相关方法,在JDK6中添加相关方法让LinkedList支持双端队列。源代码如下:
// Deque operations
/**
* Inserts the specified element at the front of this list.
*
* @param e the element to insert
* @return {@code true} (as specified by {@link Deque#offerFirst})
* @since 1.6
*/
public boolean offerFirst(E e) {
addFirst(e);
return true;
}
/**
* Inserts the specified element at the end of this list.
*
* @param e the element to insert
* @return {@code true} (as specified by {@link Deque#offerLast})
* @since 1.6
*/
public boolean offerLast(E e) {
addLast(e);
return true;
}
/**
* Retrieves, but does not remove, the first element of this list,
* or returns {@code null} if this list is empty.
*
* @return the first element of this list, or {@code null}
* if this list is empty
* @since 1.6
*/
public E peekFirst() {
final Node f = first;
return (f == null) ");if this list is empty.
*
* @return the last element of this list, or {@code null}
* if this list is empty
* @since 1.6
*/
public E peekLast() {
final Node l = last;
return (l == null) ");if this list is empty.
*
* @return the first element of this list, or {@code null} if
* this list is empty
* @since 1.6
*/
public E pollFirst() {
final Node f = first;
return (f == null) ");if this list is empty.
*
* @return the last element of this list, or {@code null} if
* this list is empty
* @since 1.6
*/
public E pollLast() {
final Node l = last;
return (l == null) ");
上面的代码逻辑比较清楚,就不详细介绍了。
LinkedList与栈(Stack)堆栈大伙肯定很熟悉,是一种先进后出的结构。类似于叠盘子,一般我们使用的时候肯定从最上面拿取。栈也是这样,最后进入的,最先出去。LinkedList在JDK6的时候也添加了对栈的支持。我们来看相关源码:
/**
* Pushes an element onto the stack represented by this list. In other
* words, inserts the element at the front of this list.
*
* This method is equivalent to {@link #addFirst}.
*
* @param e the element to push
* @since 1.6
*/
public void push(E e) {
addFirst(e);
}
/**
* Pops an element from the stack represented by this list. In other
* words, removes and returns the first element of this list.
*
*
This method is equivalent to {@link #removeFirst()}.
*
* @return the element at the front of this list (which is the top
* of the stack represented by this list)
* @throws NoSuchElementException if this list is empty
* @since 1.6
*/
public E pop() {
return removeFirst();
}
我们看到LinkedList封装的push和pop操作其实就是对first头结点的操作。通过对头结点不短了的push、pop来模拟堆栈先进后出的结构。
LinkedList与迭代器private class ListItr implements ListIterator {
private Node lastReturned;
private Node next;
private int nextIndex;
private int expectedModCount = modCount;
ListItr(int index) {
// assert isPositionIndex(index);
next = (index == size) ");hasNext() {
return nextIndex < size;
}
public E next() {
checkForComodification();
if (!hasNext())
throw new NoSuchElementException();
lastReturned = next;
next = next.next;
nextIndex++;
return lastReturned.item;
}
public boolean hasPrevious() {
return nextIndex > 0;
}
public E previous() {
checkForComodification();
if (!hasPrevious())
throw new NoSuchElementException();
lastReturned = next = (next == null) ");return lastReturned.item;
}
public int nextIndex() {
return nextIndex;
}
public int previousIndex() {
return nextIndex - 1;
}
public void remove() {
checkForComodification();
if (lastReturned == null)
throw new IllegalStateException();
Node lastNext = lastReturned.next;
unlink(lastReturned);
if (next == lastReturned)
next = lastNext;
else
nextIndex--;
lastReturned = null;
expectedModCount++;
}
public void set(E e) {
if (lastReturned == null)
throw new IllegalStateException();
checkForComodification();
lastReturned.item = e;
}
public void add(E e) {
checkForComodification();
lastReturned = null;
if (next == null)
linkLast(e);
else
linkBefore(e, next);
nextIndex++;
expectedModCount++;
}
public void forEachRemaining(Consumer<");while (modCount == expectedModCount && nextIndex < size) {
action.accept(next.item);
lastReturned = next;
next = next.next;
nextIndex++;
}
checkForComodification();
}
final void checkForComodification() {
if (modCount != expectedModCount)
throw new ConcurrentModificationException();
}
}
从上面的迭代器的源码我们可以知道以下几点:
1、LinkedList通过自定义迭代器实现了往前往后两个方向的遍历。
2、remove方法中next == lastReturned条件的判断是针对上一次对链表进行了previous操作后进行的判断。因为上一次previous操作后next指针会“悬空”。需要将其设置为next节点。
LinkedList遍历相关问题对于集合来说,遍历是非常常规的操作。但是对于LinkedList来说,遍历的时候需要选择合适的方法,因为不合理的方法对于性能有非常大的差别。我们通过例子来看:
List list=new LinkedList<>();
for(int i=0;i<10000;i++) {
list.add(String.valueOf(i));
}
//遍历方法一
long time=System.currentTimeMillis();
for(int i=0;i iterator=list.iterator();
while (iterator.hasNext()) {
iterator.next();
}
iterator.remove();
System.out.println(System.currentTimeMillis()-time);
输出如下:
size:10000的情况 120 2 size:100000的情况 28949 2
同样是遍历方法,为什么性能差别几十倍,设置上万倍呢?研究过源码的同学应该能发现其中的奥秘。我们来看get方法的逻辑:
/**
* Returns the element at the specified position in this list.
*
* @param index index of the element to return
* @return the element at the specified position in this list
* @throws IndexOutOfBoundsException {@inheritDoc}
*/
public E get(int index) {
checkElementIndex(index);
return node(index).item;
}
/**
* Returns the (non-null) Node at the specified element index.
*/
Node node(int index) {
// assert isElementIndex(index);
if (index < (size >> 1)) {
Node x = first;
for (int i = 0; i < index; i++)
x = x.next;
return x;
} else {
Node x = last;
for (int i = size - 1; i > index; i--)
x = x.prev;
return x;
}
}
我们看到,我们get(index)的时候,都需要从头,或者从尾部慢慢循环过来。get(4000)的时候需要从0-4000进行遍历。get(4001)的时候还是需要从0-4001进行遍历。做了无数的无用功。但是迭代器就不一样了。迭代器通过next指针,能指向下一个节点,无需做额外的遍历,速度非常快。
总结1、LinkedList在添加及修改时候效率较高,只需要设置前后节点即可(ArrayList还需要拷贝前后数据)。
2、LinkedList不同的遍历性能差距极大,推荐使用迭代器进行遍历。LinkedList在随机访问方面性能一般(ArrayList随机方法可以使用基地址+偏移量的方式访问)
LinkedList提供作为队列、堆栈的相关方法。
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