明年換工做,總要複習刷刷各個方面的題,看別人的總感受差點什麼,這幾天索引了一些很是好的題目,能放在文字不難說明的我便記錄下來,分享給你們。我也不建議你們直接看這樣的文章,本身隨便看看源碼比較好,面試也能夠觸類旁通,固然你要是犯懶能夠隨意通讀一下大概有個概念,了勝於無。html
我有時間會把我這幾天整理到的問題列出來,強烈推薦只看面試問題本身尋找答案。java
都是 List 的實現,一個數組實現一個鏈表實現,直奔源碼,先看類:git
public class LinkedList<E>
extends AbstractSequentialList<E>
implements List<E>, Deque<E>, Cloneable, Serializable
{...}
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public class ArrayList<E> extends AbstractList<E>
implements List<E>, RandomAccess, Cloneable, Serializable
{
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RandomAccess
首先一眼發現雙方繼承的 List 都挺像的,一個是 AbstractSequentialList 一個是 AbstractList 類。都是 1300 多行代碼,先看哪一個都差很少,先看 ArrayList 他實現了個 RandomAccess LinkedList 卻沒有實現github
package java.util;
/**
* Marker interface used by <tt>List</tt> implementations to indicate that
* they support fast (generally constant time) random access. The primary
* purpose of this interface is to allow generic algorithms to alter their
* behavior to provide good performance when applied to either random or
* sequential access lists.
*
* <p>The best algorithms for manipulating random access lists (such as
* <tt>ArrayList</tt>) can produce quadratic behavior when applied to
* sequential access lists (such as <tt>LinkedList</tt>). Generic list
* algorithms are encouraged to check whether the given list is an
* <tt>instanceof</tt> this interface before applying an algorithm that would
* provide poor performance if it were applied to a sequential access list,
* and to alter their behavior if necessary to guarantee acceptable
* performance.
*
* <p>It is recognized that the distinction between random and sequential
* access is often fuzzy. For example, some <tt>List</tt> implementations
* provide asymptotically linear access times if they get huge, but constant
* access times in practice. Such a <tt>List</tt> implementation
* should generally implement this interface. As a rule of thumb, a
* <tt>List</tt> implementation should implement this interface if,
* for typical instances of the class, this loop:
* <pre>
* for (int i=0, n=list.size(); i < n; i++)
* list.get(i);
* </pre>
* runs faster than this loop:
* <pre>
* for (Iterator i=list.iterator(); i.hasNext(); )
* i.next();
* </pre>
*
* <p>This interface is a member of the
* <a href="{@docRoot}/../technotes/guides/collections/index.html">
* Java Collections Framework</a>.
*
* @since 1.4
*/
public interface RandomAccess {
}
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該接口的主要目的是容許通用算法更改其行爲,以便在應用於隨機訪問或順序訪問列表時提供良好的性能.他只是一個標誌性接口,作標註用的,1.5後通常都用註解來作這個事情。代表實現這個這個接口的 List 集合是支持 快速隨機訪問 的面試
實現了這個接口的 list 實例使用 for 會比使用 Iterator 更快!算法
出自上面的註釋數組
因此咱們得出第一點結論:ArrayList 支持 快速隨機訪問,LinkedList 不支持 。bash
ArrayList 隨機訪問很快, LinkedList「鏈表」 插入刪除很快數據結構
qeue
先給 ArrayList 個初始長度:app
List a = new ArrayList<>(4);
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ArrayList 內部會產生一個等長的 Object 數組 elementData,每次 add 的時候都會檢測是否須要擴容:
private void ensureExplicitCapacity(int minCapacity) {
modCount++;
// overflow-conscious code
// add後的長度 - 當前容量 > 0
if (minCapacity - elementData.length > 0)
//擴容
grow(minCapacity);
}
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);
}
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int oldCapacity = elementData.length;
int newCapacity = oldCapacity + (oldCapacity >> 1);
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經過代碼可知,每次擴容爲舊的1.5倍。切最大長度不超過 2147483639
List a = new LinkedList();
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LinkedList「鏈表」不能初始化開闢容量,由於 LinkedList 數據結構須要兩兩相連,作不到初始化給定長度。
因而可知鏈表的獨特結構比數組要更佔內存
源碼:
public boolean add(E e) {
linkLast(e);
return true;
}
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++;
}
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鏈表源碼更簡單,定義經典的節點(Node)結構追加到鏈表尾部,鏈表長度 +1, addFirst 、addLast 同理。
因此鏈表不須要提早擴容,不怕越界,隨用隨插便可。理論上沒有邊界。
類 | 實現方式 | 應用場景 | 擴容方式 | 最大長度 |
---|---|---|---|---|
ArrayList | 動態數組 | 讀取 | 1.5倍 | 2147483639 |
LinkedList | 鏈表 | 插入、刪除 | 正常插入末尾 | 看內存:無限大 |
類 | 插入刪除元素時間複雜度 | 讀取元素時間複雜度 |
---|---|---|
ArrayList | O(n) | O(1) |
LinkedList | O(1) | O(n) |