Java中arraylist和linkedlist源代码分析与性能比較

Java中arraylist和linkedlist源代码分析与性能比較

1,简单介绍

在java开发中比較经常使用的数据结构是arraylist和linkedlist,本文主要从源代码角度分析arraylist和linkedlist的性能。

2,arraylist源代码分析

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,例如以下图:

     * 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。例如以下:

    /**
* 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在添加数据时,首先推断数组是否超过原始分配数组的长度。假设超过。则通过数组复制的形式扩大数组然后再添加数组元素。时间复杂度处于O(1)到O(n)之间。源代码例如以下:

    /**
* 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) {
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);
}

Arraylist在删除数据时,首先会推断数组是否越界,然后会做一个数组从后向前复制的操作,时间复杂度是O(N),源代码例如以下图:

    /**
* 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在改动数据时,首先推断第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)。源代码例如以下图:

    /**
* 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源代码分析

Linkedlist的用到的底层数据结构是双向链表,数据结构例如以下图:

    private static class Node<E> {
E item;
Node<E> next;
Node<E> prev; Node(Node<E> prev, E element, Node<E> 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,源代码例如以下图:

public class LinkedList<E>
extends AbstractSequentialList<E>
implements List<E>, Deque<E>, 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<E> first; /**
* Pointer to last node.
* Invariant: (first == null && last == null) ||
* (last.next == null && last.item != null)
*/
transient Node<E> last;

Linkedlist的添加操作。仅仅是在链表的尾部添加一个节点,时间复杂度是O(1)。源代码例如以下图:

    /**
* 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 {@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<E> l = last;
final Node<E> 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。首先推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,由于在删除的时候要依据元素的位置获取元素,所以时间复杂度是O(N)。源代码例如以下:

    /**
* 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));
}
</pre><pre code_snippet_id="1635127" snippet_file_name="blog_20160405_24_2093084" name="code" class="java">    /**
* Returns the (non-null) Node at the specified element index.
*/
Node<E> node(int index) {
// assert isElementIndex(index); if (index < (size >> 1)) {
Node<E> x = first;
for (int i = 0; i < index; i++)
x = x.next;
return x;
} else {
Node<E> x = last;
for (int i = size - 1; i > index; i--)
x = x.prev;
return x;
}
}
    /**
* Unlinks non-null node x.
*/
E unlink(Node<E> x) {
// assert x != null;
final E element = x.item;
final Node<E> next = x.next;
final Node<E> 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的改动操作。首先是推断数组是否越界。然后获取当前位置的元素。最后做改动操作,因为在获取当前位置的元素时,须要遍历链表。所以时间复杂度是O(N),源代码例如以下:

/**

     * 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<E> x = node(index);
E oldVal = x.item;
x.item = element;
return oldVal;
}
    /**
* Returns the (non-null) Node at the specified element index.
*/
Node<E> node(int index) {
// assert isElementIndex(index); if (index < (size >> 1)) {
Node<E> x = first;
for (int i = 0; i < index; i++)
x = x.next;
return x;
} else {
Node<E> x = last;
for (int i = size - 1; i > index; i--)
x = x.prev;
return x;
}
}

Linkedlist的获取元素操作。首先是推断数组是否越界,然后获取当前位置的元素,因为在获取当前位置的元素时,须要遍历链表,所以时间复杂度是O(N),源代码例如以下:

    /**
* 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<E> node(int index) {
// assert isElementIndex(index); if (index < (size >> 1)) {
Node<E> x = first;
for (int i = 0; i < index; i++)
x = x.next;
return x;
} else {
Node<E> 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)


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