HashMap的实现原理浅析

栏目: 编程语言 · Java · 发布时间: 6年前

内容简介:HashMap的实现原理浅析

HashMap也是我们使用非常多的Collection,它是基于哈希表的 Map 接口的实现,以key-value的形式存在。 

HashMap是基于哈希表的Map接口的非同步实现。此实现提供所有可选的映射操作,并允许使用null值和null键。此类不保证映射的顺序,特别是它不保证该顺序恒久不变。

本文使用的是JDK1.7的HashMap源码,因为JDK1.8的HashMap改变还很多,以后再去单一分析。

HashMap内部结构

查看HashMap源代码,可以发现其继承自AbstractMap, 并实现了Map, Cloneable, Serializable接口~

public class HashMap<K,V>
    extends AbstractMap<K,V>
    implements Map<K,V>, Cloneable, Serializable

HashMap包含一个数组对象table[],

    /**
     * The table, resized as necessary. Length MUST Always be a power of two.
     */
    transient Entry<K,V>[] table = (Entry<K,V>[]) EMPTY_TABLE;

数组中包含的元素为Entry对象,Entry是HashMap中定义的静态内部类,内容如下:

 static class Entry<K,V> implements Map.Entry<K,V> {
        final K key;
        V value;
        Entry<K,V> next;
        int hash;

        /**
         * Creates new entry.
         */
        Entry(int h, K k, V v, Entry<K,V> n) {
            value = v;
            next = n;
            key = k;
            hash = h;
        }

        public final K getKey() {
            return key;
        }

        public final V getValue() {
            return value;
        }

        public final V setValue(V newValue) {
            V oldValue = value;
            value = newValue;
            return oldValue;
        }

        public final boolean equals(Object o) {
            if (!(o instanceof Map.Entry))
                return false;
            Map.Entry e = (Map.Entry)o;
            Object k1 = getKey();
            Object k2 = e.getKey();
            if (k1 == k2 || (k1 != null && k1.equals(k2))) {
                Object v1 = getValue();
                Object v2 = e.getValue();
                if (v1 == v2 || (v1 != null && v1.equals(v2)))
                    return true;
            }
            return false;
        }

        public final int hashCode() {
            return Objects.hashCode(getKey()) ^ Objects.hashCode(getValue());
        }

        public final String toString() {
            return getKey() + "=" + getValue();
        }

        /**
         * This method is invoked whenever the value in an entry is
         * overwritten by an invocation of put(k,v) for a key k that's already
         * in the HashMap.
         */
        void recordAccess(HashMap<K,V> m) {
        }

        /**
         * This method is invoked whenever the entry is
         * removed from the table.
         */
        void recordRemoval(HashMap<K,V> m) {
        }
    }

从Entry的类内容可以看出,其主要包含四个部分,

 static class Entry<K,V> implements Map.Entry<K,V> {
        final K key;
        V value;
        Entry<K,V> next;
        int hash;

key      --   键

Value   --  值

next     --  下一个Entry对象

hash    --   hash值

从上述的描述可以看出,HashMap的内部结构基本上是通过 “数组” + “链表”来实现~ 如下图所示:

HashMap的实现原理浅析

HashMap默认的大小为16

    /**
     * The default initial capacity - MUST be a power of two.
     */
    static final int DEFAULT_INITIAL_CAPACITY = 1 << 4; // aka 16

接下来,使用一个简单示例来感受一下HashMap的数组+链表的结构存储。

如下是一个以名字为键,年龄为值的HashMap示例~

import java.util.HashMap;
import java.util.Map;

public class MapExample {

	public static void main(String[] args) {
		
		Map<String, Integer> nameAgeMap = new HashMap<>();
		
		nameAgeMap.put("Eric", 20);
		nameAgeMap.put("John", 21);
		nameAgeMap.put("LiLei", 19);
		nameAgeMap.put("Wang", 28);
		nameAgeMap.put("Zhang", 24);
		
		System.out.println(nameAgeMap);
	}
}

在输出结果之前,Debug一下nameAgeMap中的内容,如下图所示:

HashMap的实现原理浅析

从上述的示例中可以看出,不同的Key根据hash映射到数组(table[])的不同部分上去。

HashMap通过如下方式选择元素存放在哪一个table[]元素中去:

        int hash = hash(key);
        int i = indexFor(hash, table.length);

其中,

  • hash(Key)的内容为
    /**
     * Retrieve object hash code and applies a supplemental hash function to the
     * result hash, which defends against poor quality hash functions.  This is
     * critical because HashMap uses power-of-two length hash tables, that
     * otherwise encounter collisions for hashCodes that do not differ
     * in lower bits. Note: Null keys always map to hash 0, thus index 0.
     */
    final int hash(Object k) {
        int h = hashSeed;
        if (0 != h && k instanceof String) {
            return sun.misc.Hashing.stringHash32((String) k);
        }

        h ^= k.hashCode();

        // This function ensures that hashCodes that differ only by
        // constant multiples at each bit position have a bounded
        // number of collisions (approximately 8 at default load factor).
        h ^= (h >>> 20) ^ (h >>> 12);
        return h ^ (h >>> 7) ^ (h >>> 4);
    }
  •  indexFor(hash, table.length)的内容为
    /**
     * Returns index for hash code h.
     */
    static int indexFor(int h, int length) {
        // assert Integer.bitCount(length) == 1 : "length must be a non-zero power of 2";
        return h & (length-1);
    }

HashMap的实现原理浅析

如果不同元素计算出来的hash值是一样的,HashMap使用链表的方式来解决。

就像上述示例中,

table[6]存放了key为“LiLei”的Entry,并且这个Entry的next对象为key为“Eric”的Entry

对HashMap的数据结构有了大致了解之后,就可以来看看,HashMap的主要方法实现是怎么样的~

HashMap的实现原理浅析

方法put的实现

源代码

    /**
     * Associates the specified value with the specified key in this map.
     * If the map previously contained a mapping for the key, the old
     * value is replaced.
     *
     * @param key key with which the specified value is to be associated
     * @param value value to be associated with the specified key
     * @return the previous value associated with <tt>key</tt>, or
     *         <tt>null</tt> if there was no mapping for <tt>key</tt>.
     *         (A <tt>null</tt> return can also indicate that the map
     *         previously associated <tt>null</tt> with <tt>key</tt>.)
     */
    public V put(K key, V value) {
        if (table == EMPTY_TABLE) {
            inflateTable(threshold);
        }
        if (key == null)
            return putForNullKey(value);
        int hash = hash(key);
        int i = indexFor(hash, table.length);
        for (Entry<K,V> e = table[i]; e != null; e = e.next) {
            Object k;
            if (e.hash == hash && ((k = e.key) == key || key.equals(k))) {
                V oldValue = e.value;
                e.value = value;
                e.recordAccess(this);
                return oldValue;
            }
        }

        modCount++;
        addEntry(hash, key, value, i);
        return null;
    }

put方法步骤

put方法主要包含的部分如下图所示:

HashMap的实现原理浅析

从源码可以看出,HashMap是支持键为null值的

使用代码来验证一下:

import java.util.HashMap;
import java.util.Map;

public class Test {

    public static void main(String[] args) {

        Map<String, Integer> nameAgeMap = new HashMap<>();

        nameAgeMap.put("One", 1);
        nameAgeMap.put("Two", 2);
        nameAgeMap.put("Three", 3);
        nameAgeMap.put(null, 4);

        for (Map.Entry<String, Integer> entry : nameAgeMap.entrySet()) {
            System.out.println(entry.getKey() + ' ' + entry.getValue());
        }

    }

}

输出:

null 4
Three 3
One 1
Two 2

addEntry方法

    /**
     * Adds a new entry with the specified key, value and hash code to
     * the specified bucket.  It is the responsibility of this
     * method to resize the table if appropriate.
     *
     * Subclass overrides this to alter the behavior of put method.
     */
    void addEntry(int hash, K key, V value, int bucketIndex) {
        if ((size >= threshold) && (null != table[bucketIndex])) {
            resize(2 * table.length);
            hash = (null != key) ? hash(key) : 0;
            bucketIndex = indexFor(hash, table.length);
        }

        createEntry(hash, key, value, bucketIndex);
    }
  • addEntry包含两个部分:
  1. 如果元素越来越多,达到阈值(threshold),则需要将table大小乘2,并重新hash
  2. 如果未到达阈值,则添加元素到相应的table[bucketIndex]中

createEntry方法


    /**
     * Like addEntry except that this version is used when creating entries
     * as part of Map construction or "pseudo-construction" (cloning,
     * deserialization).  This version needn't worry about resizing the table.
     *
     * Subclass overrides this to alter the behavior of HashMap(Map),
     * clone, and readObject.
     */
    void createEntry(int hash, K key, V value, int bucketIndex) {
        Entry<K,V> e = table[bucketIndex];
        table[bucketIndex] = new Entry<>(hash, key, value, e);
        size++;
    }

从上述可以看出,table[bucketIndex]中的Entry永远是存放最新的元素的~

方法get的实现

源代码

    /**
     * Returns the value to which the specified key is mapped,
     * or {@code null} if this map contains no mapping for the key.
     *
     * <p>More formally, if this map contains a mapping from a key
     * {@code k} to a value {@code v} such that {@code (key==null ? k==null :
     * key.equals(k))}, then this method returns {@code v}; otherwise
     * it returns {@code null}.  (There can be at most one such mapping.)
     *
     * <p>A return value of {@code null} does not <i>necessarily</i>
     * indicate that the map contains no mapping for the key; it's also
     * possible that the map explicitly maps the key to {@code null}.
     * The {@link #containsKey containsKey} operation may be used to
     * distinguish these two cases.
     *
     * @see #put(Object, Object)
     */
    public V get(Object key) {
        if (key == null)
            return getForNullKey();
        Entry<K,V> entry = getEntry(key);

        return null == entry ? null : entry.getValue();
    }

从上述源码可以看出,HashMap的在实现上考虑了key为null值或者不为null值。

三个步骤==>

  1. 如果key为null值,则调用getForNullKey方法
  2. 如果key不为null值,则调用 getEntry(key)来获取Entry
  3. 如果获取的Entry为null,则返回null;不为null则返回entry.getValue()

getForNullKey方法

    /**
     * Offloaded version of get() to look up null keys.  Null keys map
     * to index 0.  This null case is split out into separate methods
     * for the sake of performance in the two most commonly used
     * operations (get and put), but incorporated with conditionals in
     * others.
     */
    private V getForNullKey() {
        if (size == 0) {
            return null;
        }
        for (Entry<K,V> e = table[0]; e != null; e = e.next) {
            if (e.key == null)
                return e.value;
        }
        return null;
    }

如果Map中没有元素,则返回null,否则从table[0]中查找~

getEntry(Object key)方法

    /**
     * Returns the entry associated with the specified key in the
     * HashMap.  Returns null if the HashMap contains no mapping
     * for the key.
     */
    final Entry<K,V> getEntry(Object key) {
        if (size == 0) {
            return null;
        }

        int hash = (key == null) ? 0 : hash(key);
        for (Entry<K,V> e = table[indexFor(hash, table.length)];
             e != null;
             e = e.next) {
            Object k;
            if (e.hash == hash &&
                ((k = e.key) == key || (key != null && key.equals(k))))
                return e;
        }
        return null;
    }
  1. 如果size为0,也就是HashMap中没有元素,则返回null
  2. 如果HashMap中有元素,则先计算出key值对应的数组元素table[bucketIndex], 然后通过遍历链表获取元素

方法clear的实现

源代码

    /**
     * Removes all of the mappings from this map.
     * The map will be empty after this call returns.
     */
    public void clear() {
        modCount++;
        Arrays.fill(table, null);
        size = 0;
    }

HashMap中clear方法的实现包含了如下几个部分

  1. 修改次数加1
  2. 数组table的元素设置成null,调用Arrays.fill方法实现
  3. HashMap中元素的个数size设置成0

Arrays.fill方法如下:

    /**
     * Assigns the specified Object reference to each element of the specified
     * array of Objects.
     *
     * @param a the array to be filled
     * @param val the value to be stored in all elements of the array
     * @throws ArrayStoreException if the specified value is not of a
     *         runtime type that can be stored in the specified array
     */
    public static void fill(Object[] a, Object val) {
        for (int i = 0, len = a.length; i < len; i++)
            a[i] = val;
    }

方法containsKey和containsValue的实现

containsKey的实现

    /**
     * Returns <tt>true</tt> if this map contains a mapping for the
     * specified key.
     *
     * @param   key   The key whose presence in this map is to be tested
     * @return <tt>true</tt> if this map contains a mapping for the specified
     * key.
     */
    public boolean containsKey(Object key) {
        return getEntry(key) != null;
    }

    /**
     * Returns the entry associated with the specified key in the
     * HashMap.  Returns null if the HashMap contains no mapping
     * for the key.
     */
    final Entry<K,V> getEntry(Object key) {
        if (size == 0) {
            return null;
        }

        int hash = (key == null) ? 0 : hash(key);
        for (Entry<K,V> e = table[indexFor(hash, table.length)];
             e != null;
             e = e.next) {
            Object k;
            if (e.hash == hash &&
                ((k = e.key) == key || (key != null && key.equals(k))))
                return e;
        }
        return null;
    }

getEntry(key)方法说明如下:

  1. 如果size为0,也就是HashMap中没有元素,则返回null
  2. 如果HashMap中有元素,则先计算出key值对应的数组元素table[bucketIndex], 然后通过遍历链表获取元素

containsValue的实现

    /**
     * Returns <tt>true</tt> if this map maps one or more keys to the
     * specified value.
     *
     * @param value value whose presence in this map is to be tested
     * @return <tt>true</tt> if this map maps one or more keys to the
     *         specified value
     */
    public boolean containsValue(Object value) {
        if (value == null)
            return containsNullValue();

        Entry[] tab = table;
        for (int i = 0; i < tab.length ; i++)
            for (Entry e = tab[i] ; e != null ; e = e.next)
                if (value.equals(e.value))
                    return true;
        return false;
    }

    /**
     * Special-case code for containsValue with null argument
     */
    private boolean containsNullValue() {
        Entry[] tab = table;
        for (int i = 0; i < tab.length ; i++)
            for (Entry e = tab[i] ; e != null ; e = e.next)
                if (e.value == null)
                    return true;
        return false;
    }

无论value的值是否为null值,都是采用双重循环来实现~

方法resize的实现

源代码

   /**
     * Rehashes the contents of this map into a new array with a
     * larger capacity.  This method is called automatically when the
     * number of keys in this map reaches its threshold.
     *
     * If current capacity is MAXIMUM_CAPACITY, this method does not
     * resize the map, but sets threshold to Integer.MAX_VALUE.
     * This has the effect of preventing future calls.
     *
     * @param newCapacity the new capacity, MUST be a power of two;
     *        must be greater than current capacity unless current
     *        capacity is MAXIMUM_CAPACITY (in which case value
     *        is irrelevant).
     */
    void resize(int newCapacity) {
        Entry[] oldTable = table;
        int oldCapacity = oldTable.length;
        if (oldCapacity == MAXIMUM_CAPACITY) {
            threshold = Integer.MAX_VALUE;
            return;
        }

        Entry[] newTable = new Entry[newCapacity];
        transfer(newTable, initHashSeedAsNeeded(newCapacity));
        table = newTable;
        threshold = (int)Math.min(newCapacity * loadFactor, MAXIMUM_CAPACITY + 1);
    }

就想上面提到过的,如果HashMap中添加元素超过了阈值,则需要扩容,并重新分配元素到新的数组( table[] )中去~

transfer方法如下所示,其作用就是将所有的元素从当前table数组中,转移到新的table数组中

transfer方法

    /**
     * Transfers all entries from current table to newTable.
     */
    void transfer(Entry[] newTable, boolean rehash) {
        int newCapacity = newTable.length;
        for (Entry<K,V> e : table) {
            while(null != e) {
                Entry<K,V> next = e.next;
                if (rehash) {
                    e.hash = null == e.key ? 0 : hash(e.key);
                }
                int i = indexFor(e.hash, newCapacity);
                e.next = newTable[i];
                newTable[i] = e;
                e = next;
            }
        }
    }

HashMap的实现原理浅析

resize方法在添加单个元素的时候,需要考虑,同样在添加多个元素的时候更要考虑~

putAll方法

  /**
     * Copies all of the mappings from the specified map to this map.
     * These mappings will replace any mappings that this map had for
     * any of the keys currently in the specified map.
     *
     * @param m mappings to be stored in this map
     * @throws NullPointerException if the specified map is null
     */
    public void putAll(Map<? extends K, ? extends V> m) {
        int numKeysToBeAdded = m.size();
        if (numKeysToBeAdded == 0)
            return;

        if (table == EMPTY_TABLE) {
            inflateTable((int) Math.max(numKeysToBeAdded * loadFactor, threshold));
        }

        /*
         * Expand the map if the map if the number of mappings to be added
         * is greater than or equal to threshold.  This is conservative; the
         * obvious condition is (m.size() + size) >= threshold, but this
         * condition could result in a map with twice the appropriate capacity,
         * if the keys to be added overlap with the keys already in this map.
         * By using the conservative calculation, we subject ourself
         * to at most one extra resize.
         */
        if (numKeysToBeAdded > threshold) {
            int targetCapacity = (int)(numKeysToBeAdded / loadFactor + 1);
            if (targetCapacity > MAXIMUM_CAPACITY)
                targetCapacity = MAXIMUM_CAPACITY;
            int newCapacity = table.length;
            while (newCapacity < targetCapacity)
                newCapacity <<= 1;
            if (newCapacity > table.length)
                resize(newCapacity);
        }

        for (Map.Entry<? extends K, ? extends V> e : m.entrySet())
            put(e.getKey(), e.getValue());
    }

putAll方法就是确定好足够的大小之后,循环调用put方法来实现的~

方法remove的实现

源代码

   /**
     * Removes the mapping for the specified key from this map if present.
     *
     * @param  key key whose mapping is to be removed from the map
     * @return the previous value associated with <tt>key</tt>, or
     *         <tt>null</tt> if there was no mapping for <tt>key</tt>.
     *         (A <tt>null</tt> return can also indicate that the map
     *         previously associated <tt>null</tt> with <tt>key</tt>.)
     */
    public V remove(Object key) {
        Entry<K,V> e = removeEntryForKey(key);
        return (e == null ? null : e.value);
    }

remove方法其实就是调用了removeEntryForKey方法~

removeEntryForKey如下:

方法removeEntryForKey

   /**
     * Removes and returns the entry associated with the specified key
     * in the HashMap.  Returns null if the HashMap contains no mapping
     * for this key.
     */
    final Entry<K,V> removeEntryForKey(Object key) {
        if (size == 0) {
            return null;
        }
        int hash = (key == null) ? 0 : hash(key);
        int i = indexFor(hash, table.length);
        Entry<K,V> prev = table[i];
        Entry<K,V> e = prev;

        while (e != null) {
            Entry<K,V> next = e.next;
            Object k;
            if (e.hash == hash &&
                ((k = e.key) == key || (key != null && key.equals(k)))) {
                modCount++;
                size--;
                if (prev == e)
                    table[i] = next;
                else
                    prev.next = next;
                e.recordRemoval(this);
                return e;
            }
            prev = e;
            e = next;
        }

        return e;
    }

removeEntryForKey其实就是链表的删除的实现,其包含如下几个部分:

  1. 如果没有元素,则返回null值
  2. 然后根据key计算hash值,并确定到哪一个table[bucketIndex]中删除
  3. 循环遍历元素,删除符合条件的Entry节点即可,比较好理解

方法indexFor的实现

源代码

  /**
     * Returns index for hash code h.
     */
    static int indexFor(int h, int length) {
        // assert Integer.bitCount(length) == 1 : "length must be a non-zero power of 2";
        return h & (length-1);
    }

 

 indexFor方法在HashMap中用于定位数组位置table[bucketIndex]~

 int i = indexFor(hash, table.length);

在HashMap中,table的长度定义推荐使用2的N次方~ 

h & (length - 1) 等价与 h % length,但他们是等价(效果)不等效(效率)的,位运算结果与取模一致,但效率更高;

这样做的好处还有:

当数组长度为2的n次幂的时候,不同的key算得得index相同的几率较小,那么数据在数组上分布就比较均匀,也就是说碰撞的几率小,相对的,查询的时候就不用遍历某个位置上的链表,这样查询效率也就较高了。 参考【http://www.iteye.com/topic/539465

modCount是干嘛的

源代码

    /**
     * The number of times this HashMap has been structurally modified
     * Structural modifications are those that change the number of mappings in
     * the HashMap or otherwise modify its internal structure (e.g.,
     * rehash).  This field is used to make iterators on Collection-views of
     * the HashMap fail-fast.  (See ConcurrentModificationException).
     */
    transient int modCount;

modCount记录的HashMap结构变化的次数,在迭代器初始化过程中会将这个值赋给迭代器的 expectedModCount,在迭代过程中,判断 modCount 跟 expectedModCount 是否相等,如果不相等就表示已经有其他线程修改了 Map,那么将抛出ConcurrentModificationException,这就是所谓fail-fast策略

可以查看HashMap中的抽象类HashIterator:

  • 构造函数中expectedModCount 赋值
    private abstract class HashIterator<E> implements Iterator<E> {
        Entry<K,V> next;        // next entry to return
        int expectedModCount;   // For fast-fail
        int index;              // current slot
        Entry<K,V> current;     // current entry

        HashIterator() {
            expectedModCount = modCount;
            if (size > 0) { // advance to first entry
                Entry[] t = table;
                while (index < t.length && (next = t[index++]) == null)
                    ;
            }
        }
  • remove改变抛ConcurrentModificationException异常

        final Entry<K,V> nextEntry() {
            if (modCount != expectedModCount)
                throw new ConcurrentModificationException();
            Entry<K,V> e = next;
            if (e == null)
                throw new NoSuchElementException();

            if ((next = e.next) == null) {
                Entry[] t = table;
                while (index < t.length && (next = t[index++]) == null)
                    ;
            }
            current = e;
            return e;
        }

        public void remove() {
            if (current == null)
                throw new IllegalStateException();
            if (modCount != expectedModCount)
                throw new ConcurrentModificationException();
            Object k = current.key;
            current = null;
            HashMap.this.removeEntryForKey(k);
            expectedModCount = modCount;
        }

Fail-Fast简单示例

import java.util.HashMap;
import java.util.Map;

public class Test {

    public static void main(String[] args) {

        Map<String, Integer> nameAgeMap = new HashMap<>();

        nameAgeMap.put("One", 1);
        nameAgeMap.put("Two", 2);
        nameAgeMap.put("Three", 3);
        nameAgeMap.put(null, 4);
        nameAgeMap.put("five", null);

        for (Map.Entry<String, Integer> entry : nameAgeMap.entrySet()) {
            if(null == entry.getKey()) {
                nameAgeMap.remove(null);
            }
            System.out.println(entry.getKey() + ' ' + entry.getValue());
        }

    }

}

运行结果:

null 4
Exception in thread "main" java.util.ConcurrentModificationException
	at java.util.HashMap$HashIterator.nextEntry(Unknown Source)
	at java.util.HashMap$EntryIterator.next(Unknown Source)
	at java.util.HashMap$EntryIterator.next(Unknown Source)
	at Test.main(Test.java:16)

这里就不对HashMap中的方法一一列举了~

JDK 1.8 HashMap调整

HashMap在JDK1.8中,相比JDK 1.7做了较多的改动。

HashMap的数据结构(数组+链表+红黑树),桶中的结构可能是链表,也可能是红黑树,红黑树的引入是为了提高效率

 

HashMap的实现原理浅析

 

如put方法~

    /**
     * Associates the specified value with the specified key in this map.
     * If the map previously contained a mapping for the key, the old
     * value is replaced.
     *
     * @param key key with which the specified value is to be associated
     * @param value value to be associated with the specified key
     * @return the previous value associated with <tt>key</tt>, or
     *         <tt>null</tt> if there was no mapping for <tt>key</tt>.
     *         (A <tt>null</tt> return can also indicate that the map
     *         previously associated <tt>null</tt> with <tt>key</tt>.)
     */
    public V put(K key, V value) {
        return putVal(hash(key), key, value, false, true);
    }

putVal方法

 /**
     * Implements Map.put and related methods
     *
     * @param hash hash for key
     * @param key the key
     * @param value the value to put
     * @param onlyIfAbsent if true, don't change existing value
     * @param evict if false, the table is in creation mode.
     * @return previous value, or null if none
     */
    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;
    }

其中, treeifyBin(tab, hash)部分就是红黑树的相关处理部分

参考

http://coding-geek.com/how-does-a-hashmap-work-in-java/

http://javaconceptoftheday.com/how-hashmap-works-internally-in-java/


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操作系统概念(第六版)

操作系统概念(第六版)

(美)西尔伯斯查兹 / 郑扣根 / 高等教育出版社 / 2005-11 / 55.00元

《操作系统概念》(第6版翻译版)是讨论了操作系统中的基本概念和算法,并对大量实例(如Linux系统)进行了研究。全书内容共分七部分。第一部分概要解释了操作系统是什么、做什么、是怎样设计与构造的,也解释了操作系统概念是如何发展起来的,操作系统的公共特性是什么。第二部分进程管理描述了作为现代操作系统核心的进程以及并发的概念。第三部分存储管理描述了存储管理的经典结构与算法以及不同的存储管理方案。第四部分......一起来看看 《操作系统概念(第六版)》 这本书的介绍吧!

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