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2018-02-03List和Map和Set接口,Arrays,

来源:花图问答

java中集合框架是常用的的API。有必要做一个使用总结。接口结构如下
Map<K,V> -->SortedMap --> NavigableMap
Iterable<E> -->Collection<E> -->Queue/List/Set -->Deque/SortedSet

类继承结构如下:
1-java.lang.Object
1.1-AbstractCollection类
1.1.1-AbstractList类
1.1.1.1-AbstractSequentialList
1.1.1.1.1-LinkedList
1.1.1.2-ArrayList
1.1.1.2.1-ObesrableArrayList
1.1.1.3-Vector
1.1.1.3.1-Stack

1.1.2-AbstractQueue类
1.1.2.1-ArrayBlockingQueue
1.1.2.2-ConcurrentLinkedQueue
1.1.2.3-DelayQueue
1.1.2.4-LinkedBlockDeque
1.1.2.5-LinkedBlockingQueue
1.1.2.6-LinkedTransferQueue
1.1.2.7-PriorityBolckingQueue
1.1.2.8-PriorityQueue
1.1.2.9-SynchronousQueue

1.1.3-AbstractSet类
1.1.3.1-ConcurrentSkipListSet
1.1.3.1-CopyOnWriteArraySet
1.1.3.2-EnumSet
1.1.3.3-HashSet
1.1.3.4-TreeSet
1.1.4-ArrayDeque类 双端队列 asynctask源码用到
1.1.5-ConcurrentLinkedDeque类
整体的一个目录机构就如上所示,里面囊括了所有List和Set相关的。

Map类
1-AbstractMap(extends Object)类
1.1-ConcurrentHashMap
1,2-ConcurrentSkipListMap
1.3-EnumMap
1.4-HashMap
1.4.1-LinkedHashMap
1.5-IdentityHashMap
1.6-TreeMap
1.7-WeakHashMap

Dictionary类
1-Dictionary
1.1-HashTable
1.1.1-Properties
1.1.1.1-Provider
1.1.1.1.1-AuthProvider
接下来是有些常见的问题索引。

1 HashMap和HashTable底层实现有什么区别?

2 hashMap和ConcurrentHashMap呢?

3 HashMap和TreeMap有什么区别?底层数据结构是什么?

4 Java运行时环境是如何判断HashSet中相同对象、HashMap中相同键的呢?

5 HashMap和HashSet的区别

hashmap源码解析

putVaule(k,v)方法:


image.png

接着调用:

final V putVal(int hash, K key, V value, boolean onlyIfAbsent,
                   boolean evict) {
        Node<K,V>[] tab; Node<K,V> p; int n, i;
        if ((tab = table) == null || (n = tab.length) == 0)
            n = (tab = resize()).length;
        if ((p = tab[i = (n - 1) & hash]) == null)
            tab[i] = newNode(hash, key, value, null);
        else {
            Node<K,V> e; K k;
            if (p.hash == hash &&
                ((k = p.key) == key || (key != null && key.equals(k))))
                e = p;
            else if (p instanceof TreeNode)
                e = ((TreeNode<K,V>)p).putTreeVal(this, tab, hash, key, value);
            else {
                for (int binCount = 0; ; ++binCount) {
                    if ((e = p.next) == null) {
                        p.next = newNode(hash, key, value, null);
                        if (binCount >= TREEIFY_THRESHOLD - 1) // -1 for 1st
                            treeifyBin(tab, hash);
                        break;
                    }
                    if (e.hash == hash &&
                        ((k = e.key) == key || (key != null && key.equals(k))))
                        break;
                    p = e;
                }
            }
            if (e != null) { // existing mapping for key
                V oldValue = e.value;
                if (!onlyIfAbsent || oldValue == null)
                    e.value = value;
                afterNodeAccess(e);
                return oldValue;
            }
        }
        ++modCount;
        if (++size > threshold)
            resize();
        afterNodeInsertion(evict);
        return null;
    }

可以看出:
1.如果为空或者size为零,就resize扩容一次;
2.如果插入的key不存在,就新增一个node;
3,如果存在,就替换对应key的值,如果是树节点,就替换树节点的值,
4,如果超过threshold阀值,就调用resize扩容方法。
resize方法:

 final Node<K,V>[] resize() {
        Node<K,V>[] oldTab = table;
        int oldCap = (oldTab == null) ? 0 : oldTab.length;
        int oldThr = threshold;
        int newCap, newThr = 0;
        if (oldCap > 0) {
            if (oldCap >= MAXIMUM_CAPACITY) {
                threshold = Integer.MAX_VALUE;
                return oldTab;
            }
            else if ((newCap = oldCap << 1) < MAXIMUM_CAPACITY &&
                     oldCap >= DEFAULT_INITIAL_CAPACITY)
                newThr = oldThr << 1; // double threshold
        }
        else if (oldThr > 0) // initial capacity was placed in threshold
            newCap = oldThr;
        else {               // zero initial threshold signifies using defaults
            newCap = DEFAULT_INITIAL_CAPACITY;
            newThr = (int)(DEFAULT_LOAD_FACTOR * DEFAULT_INITIAL_CAPACITY);
        }
        if (newThr == 0) {
            float ft = (float)newCap * loadFactor;
            newThr = (newCap < MAXIMUM_CAPACITY && ft < (float)MAXIMUM_CAPACITY ?
                      (int)ft : Integer.MAX_VALUE);
        }
        threshold = newThr;
        @SuppressWarnings({"rawtypes","unchecked"})
            Node<K,V>[] newTab = (Node<K,V>[])new Node[newCap];
        table = newTab;
        if (oldTab != null) {
            for (int j = 0; j < oldCap; ++j) {
                Node<K,V> e;
                if ((e = oldTab[j]) != null) {
                    oldTab[j] = null;
                    if (e.next == null)
                        newTab[e.hash & (newCap - 1)] = e;
                    else if (e instanceof TreeNode)
                        ((TreeNode<K,V>)e).split(this, newTab, j, oldCap);
                    else { // preserve order
                        Node<K,V> loHead = null, loTail = null;
                        Node<K,V> hiHead = null, hiTail = null;
                        Node<K,V> next;
                        do {
                            next = e.next;
                            if ((e.hash & oldCap) == 0) {
                                if (loTail == null)
                                    loHead = e;
                                else
                                    loTail.next = e;
                                loTail = e;
                            }
                            else {
                                if (hiTail == null)
                                    hiHead = e;
                                else
                                    hiTail.next = e;
                                hiTail = e;
                            }
                        } while ((e = next) != null);
                        if (loTail != null) {
                            loTail.next = null;
                            newTab[j] = loHead;
                        }
                        if (hiTail != null) {
                            hiTail.next = null;
                            newTab[j + oldCap] = hiHead;
                        }
                    }
                }
            }
        }
        return newTab;
    }

Arrays的equals方法:

public static boolean equals(Object[] a, Object[] a2) {
        if (a==a2)
            return true;
        if (a==null || a2==null)
            return false;

        int length = a.length;
        if (a2.length != length)
            return false;

        for (int i=0; i<length; i++) {
            Object o1 = a[i];
            Object o2 = a2[i];
            if (!(o1==null ? o2==null : o1.equals(o2)))
                return false;
        }

        return true;
    }

binarySearch0查找方法:

 private static int binarySearch0(int[] a, int fromIndex, int toIndex,
                                     int key) {
        int low = fromIndex;
        int high = toIndex - 1;

        while (low <= high) {
            int mid = (low + high) >>> 1;
            int midVal = a[mid];

            if (midVal < key)
                low = mid + 1;
            else if (midVal > key)
                high = mid - 1;
            else
                return mid; // key found
        }
        return -(low + 1);  // key not found.
    }