Java中arraylist和linkedlist源码分析与性能比较
Java中arraylist和linkedlist源码分析与性能比较
1，简介
在java开发中比较常用的数据结构是arraylist和linkedlist，本文主要从源码角度分析arraylist和linkedlist的性能。
2，arraylist源码分析
Arraylist底层的数据结构是一个对象数组，有一个size的成员变量标记数组中元素的个数，如下图：
* 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;
/**
* The size of the ArrayList (the number of elements it contains).
*
* @serial
*/
private int size;在构造函数中Arraylist初始化为一个长度为10的对象数组，如下：
/**
* Constructs an empty list with the specified initial capacity.
*
* @param initialCapacity the initial capacity of the list
* @throws IllegalArgumentException if the specified initial capacity
* is negative
*/
public ArrayList(int initialCapacity) {
super();
if (initialCapacity < 0)
throw new IllegalArgumentException("Illegal Capacity: "+
initialCapacity);
this.elementData = new Object[initialCapacity];
}
/**
* Constructs an empty list with an initial capacity of ten.
*/
public ArrayList() {
this(10);
}Arraylist在增加数据时，首先判断数组是否超过原始分配数组的长度，如果超过，则通过数组复制的形式扩大数组然后再增加数组元素。时间复杂度处于O(1)到O(n)之间。源码如下：
/**
* Appends the specified element to the end of this list.
*
* @param e element to be appended to this list
* @return true (as specified by {@link Collection#add})
*/
public boolean add(E e) {
ensureCapacityInternal(size + 1); // Increments modCount!!
elementData[size++] = e;
return true;
}
private void ensureCapacityInternal(int minCapacity) {
modCount++;
// overflow-conscious code
if (minCapacity - elementData.length > 0)
grow(minCapacity);
} /**
* Increases the capacity to ensure that it can hold at least the
* number of elements specified by the minimum capacity argument.
*
* @param minCapacity the desired minimum capacity
*/
private void grow(int minCapacity) {
// overflow-conscious code
int oldCapacity = elementData.length;
int newCapacity = oldCapacity + (oldCapacity >> 1);
if (newCapacity - minCapacity < 0)
newCapacity = minCapacity;
if (newCapacity - MAX_ARRAY_SIZE > 0)
newCapacity = hugeCapacity(minCapacity);
// minCapacity is usually close to size, so this is a win:
elementData = Arrays.copyOf(elementData, newCapacity);
}
/**
* Removes the element at the specified position in this list.
* Shifts any subsequent elements to the left (subtracts one from their
* indices).
*
* @param index the index of the element to be removed
* @return the element that was removed from the list
* @throws IndexOutOfBoundsException {@inheritDoc}
*/
public E remove(int index) {
rangeCheck(index);
modCount++;
E oldValue = elementData(index);
int numMoved = size - index - 1;
if (numMoved > 0)
System.arraycopy(elementData, index+1, elementData, index,
numMoved);
elementData[--size] = null; // Let gc do its work
return oldValue;
}Arraylist在修改数据时，首先判断第i个元素是否越界，然后直接做赋值操作，时间复杂度是O(1)。
/**
* Replaces the element at the specified position in this list with
* the specified element.
*
* @param index index of the element to replace
* @param element element to be stored at the specified position
* @return the element previously at the specified position
* @throws IndexOutOfBoundsException {@inheritDoc}
*/
public E set(int index, E element) {
rangeCheck(index);
E oldValue = elementData(index);
elementData[index] = element;
return oldValue;
}Arraylist 在获取数据时，首先判读第 i 个元素是否越界，然后获取对象数组中的第 i 个元素时间复杂度是 O(1) ，源码如下图：
/**
* 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) {
rangeCheck(index);
return elementData(index);
}3，linkedlist源码分析
Linkedlist的用到的底层数据结构是双向链表，数据结构如下图：
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;
}
} Linkedlist 的成员变量主要有三个， size 表示链表的长度， first 指向链表的头部， last 指向链表的尾部，源码如下图：
public class LinkedList
extends AbstractSequentialList
implements List, Deque, Cloneable, java.io.Serializable
{
transient int size = 0;
/**
* Pointer to first node.
* Invariant: (first == null && last == null) ||
* (first.prev == null && first.item != null)
*/
transient Node first;
/**
* Pointer to last node.
* Invariant: (first == null && last == null) ||
* (last.next == null && last.item != null)
*/
transient Node last;
Linkedlist的增加操作，只是在链表的尾部增加一个节点，时间复杂度是O(1)，源码如下图：
/**
* 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;
}
/**
* 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++;
}
Linkedlist的删除操作，首先判断删除的位置是否越界，然后找到第i个元素，最后删除第一个元素，因为在删除的时候要根据元素的位置获取元素，所以时间复杂度是O(N)，源码如下：
/**
* Removes the element at the specified position in this list. Shifts any
* subsequent elements to the left (subtracts one from their indices).
* Returns the element that was removed from the list.
*
* @param index the index of the element to be removed
* @return the element previously at the specified position
* @throws IndexOutOfBoundsException {@inheritDoc}
*/
public E remove(int index) {
checkElementIndex(index);
return unlink(node(index));
} /**
* 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;
}
}
/**
* 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;
} Linkedlist的修改操作，首先是判断数组是否越界，然后获取当前位置的元素，最后做修改操作，由于在获取当前位置的元素时，需要遍历链表，所以时间复杂度是O(N)，源码如下：
/**
* Replaces the element at the specified position in this list with the
* specified element.
*
* @param index index of the element to replace
* @param element element to be stored at the specified position
* @return the element previously at the specified position
* @throws IndexOutOfBoundsException {@inheritDoc}
*/
public E set(int index, E element) {
checkElementIndex(index);
Node x = node(index);
E oldVal = x.item;
x.item = element;
return oldVal;
}
/**
* 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;
}
} Linkedlist 的获取元素操作，首先是判断数组是否越界，然后获取当前位置的元素，由于在获取当前位置的元素时，需要遍历链表，所以时间复杂度是 O(N) ，源码如下：
/**
* 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;
}
} 4，arraylist和linkedlist的效率分析
|
|
Add() |
Remove(int i) |
Set(int i, E e) |
Get(int i) |
| Arraylist |
O(1)-O(N) |
O(N) |
O(1) |
O(1) |
| Linkedlist |
O(1) |
O(N) |
O(N) |
O(N) |