HashMap

它有一对值(键，值) 禁止复制键值 无序的无序 它允许一个空键和多个空值

哈希表

和哈希映射一样 它不允许空键和空值

LinkedHashMap

它是map实现的有序版本 基于链表和哈希数据结构

TreeMap

有序和排序版本 基于哈希数据结构

这是我自己使用地图的经验，关于我何时使用每种地图:

HashMap - Most useful when looking for a best-performance (fast) implementation. TreeMap (SortedMap interface) - Most useful when I'm concerned with being able to sort or iterate over the keys in a particular order that I define. LinkedHashMap - Combines advantages of guaranteed ordering from TreeMap without the increased cost of maintaining the TreeMap. (It is almost as fast as the HashMap). In particular, the LinkedHashMap also provides a great starting point for creating a Cache object by overriding the removeEldestEntry() method. This lets you create a Cache object that can expire data using some criteria that you define.

它们都提供一个key->值映射和一种遍历键的方法。最重要的区别 这些类是时间保证和键的顺序。

HashMap offers 0(1) lookup and insertion. If you iterate through the keys, though, the ordering of the keys is essentially arbitrary. It is implemented by an array of linked lists. TreeMap offers O(log N) lookup and insertion. Keys are ordered, so if you need to iterate through the keys in sorted order, you can. This means that keys must implement the Comparable interface.TreeMap is implemented by a Red-Black Tree. LinkedHashMap offers 0(1) lookup and insertion. Keys are ordered by their insertion order. It is implemented by doubly-linked buckets.

假设你将一个空的TreeMap, HashMap和LinkedHashMap传递给下面的函数:

void insertAndPrint(AbstractMap<Integer, String> map) {
  int[] array= {1, -1, 0};
  for (int x : array) {
    map.put(x, Integer.toString(x));
  }
  for (int k: map.keySet()) {
   System.out.print(k + ", ");
  }
}

它们的输出如下所示。

对于HashMap，在我自己的测试中，输出是{0,1，-1}，但它可以是任何顺序。没有任何保证 排序。 Treemap，输出为{- 1,0,1} LinkedList，输出为{1，-1,0}

这三个类都实现了Map接口，并提供了基本相同的功能。最重要的区别是迭代条目的顺序:

HashMap绝对不保证迭代顺序。当添加新元素时，它甚至可以(也将会)完全改变。 TreeMap将根据键的compareTo()方法(或外部提供的Comparator)的“自然顺序”进行迭代。此外，它实现了SortedMap接口，该接口包含依赖于此排序顺序的方法。 LinkedHashMap将按照条目放入映射的顺序进行迭代

“哈希表”是基于哈希的映射的通用名称。在Java API的上下文中， Hashtable是Java 1.1时代的一个过时的类，在集合框架存在之前。它不应该再使用了，因为它的API中充满了重复功能的过时方法，而且它的方法是同步的(这会降低性能，而且通常是无用的)。使用ConcurrentHashMap而不是Hashtable。

以下是HashMap和TreeMap之间的主要区别

HashMap does not maintain any order. In other words , HashMap does not provide any guarantee that the element inserted first will be printed first, where as Just like TreeSet , TreeMap elements are also sorted according to the natural ordering of its elements Internal HashMap implementation use Hashing and TreeMap internally uses Red-Black tree implementation. HashMap can store one null key and many null values.TreeMap can not contain null keys but may contain many null values. HashMap take constant time performance for the basic operations like get and put i.e O(1).According to Oracle docs , TreeMap provides guaranteed log(n) time cost for the get and put method. HashMap is much faster than TreeMap, as performance time of HashMap is constant against the log time TreeMap for most operations. HashMap uses equals() method in comparison while TreeMap uses compareTo() method for maintaining ordering. HashMap implements Map interface while TreeMap implements NavigableMap interface.

HashMap 可以包含一个空键。

HashMap没有秩序。

TreeMap

TreeMap不能包含任何空键。

TreeMap保持升序。

LinkedHashMap

LinkedHashMap可用于维护插入顺序，即键被插入到Map中，也可用于维护访问顺序，即键被访问。

例子::

1) HashMap map = new HashMap();

    map.put(null, "Kamran");
    map.put(2, "Ali");
    map.put(5, "From");
    map.put(4, "Dir");`enter code here`
    map.put(3, "Lower");
    for (Map.Entry m : map.entrySet()) {
        System.out.println(m.getKey() + "  " + m.getValue());
    } 

2) TreeMap map = new TreeMap();

    map.put(1, "Kamran");
    map.put(2, "Ali");
    map.put(5, "From");
    map.put(4, "Dir");
    map.put(3, "Lower");
    for (Map.Entry m : map.entrySet()) {
        System.out.println(m.getKey() + "  " + m.getValue());
    }

3) LinkedHashMap map = new LinkedHashMap();

    map.put(1, "Kamran");
    map.put(2, "Ali");
    map.put(5, "From");
    map.put(4, "Dir");
    map.put(3, "Lower");
    for (Map.Entry m : map.entrySet()) {
        System.out.println(m.getKey() + "  " + m.getValue());
    }