Java HashMap源码及并发环境常见问题解决方法

本篇文章小编给大家分享一下Java HashMap源码及并发环境常见问题解决方法，文章代码介绍的很详细，小编觉得挺不错的，现在分享给大家供大家参考，有需要的小伙伴们可以来看看。

HashMap源码简单分析：

1 一切需要从HashMap属性字段说起：

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

  /**
   * The maximum capacity, used if a higher value is implicitly specified
   * by either of the constructors with arguments.
   * MUST be a power of two <= 1<<30. 最大容量
   */
  static final int MAXIMUM_CAPACITY = 1 << 30;

  /**
   * The load factor used when none specified in constructor.    * 默认的负载因子，当map的size>=负载因子*capacity时候并且插入元素时候的table[i]!=null进行扩容   * 扩容判断逻辑：java.util.HashMap#addEntry函数中   *
   */
  static final float DEFAULT_LOAD_FACTOR = 0.75f;

  /**
   * An empty table instance to share when the table is not inflated.
   */
  static final Entry[] EMPTY_TABLE = {};

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

  /**
   * The number of key-value mappings contained in this map. map的大小
   */
  transient int size;

  /**
   * The next size value at which to resize (capacity * load factor).
   * @serial
   */
  // If table == EMPTY_TABLE then this is the initial capacity at which the
  // table will be created when inflated. 扩容的阈值 = capacity * 负载因子
  int threshold;

  /**
   * The load factor for the hash table. 负载因子，默认是0.75，可以在创建HashMap时候通过构造函数指定
   *
   * @serial
   */
  final float loadFactor;

  /**
   * 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).   * 修改次数：例如进行rehash或者返回hashMap视图时候如果发生修改可以fast-fail
   */
  transient int modCount;

  /**
   * The default threshold of map capacity above which alternative hashing is
   * used for String keys. Alternative hashing reduces the incidence of
   * collisions due to weak hash code calculation for String keys.
   * 

   * This value may be overridden by defining the system property
   * {@code jdk.map.althashing.threshold}. A property value of {@code 1}
   * forces alternative hashing to be used at all times whereas
   * {@code -1} value ensures that alternative hashing is never used.   * rehash时候判断的一个阈值
   */
  static final int ALTERNATIVE_HASHING_THRESHOLD_DEFAULT = Integer.MAX_VALUE;

2: 接下来查看一下HashMap的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 key, or
   *     null if there was no mapping for key.
   *     (A null return can also indicate that the map
   *     previously associated null with key.)
   */
  public V put(K key, V value) {
    if (table == EMPTY_TABLE) {//初始化哈希表
      inflateTable(threshold);
    }
    if (key == null) //如果key 为null 存储到table[0]位置
      return putForNullKey(value);
    int hash = hash(key); //计算hash值
    int i = indexFor(hash, table.length);//计算entry在table中的位置
    //for循环逻辑用于修改key对应的value的
    for (Entry 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;//如果是更新返回旧值
      }
    }
    //修改次数++
    modCount++;
    //添加元素到哈希表中
    addEntry(hash, key, value, i);
    // 如果是添加元素则返回null
    return null;
  }

3 put中调用的inflateTable方法：

/**
   * Inflates the table.
   */
  private void inflateTable(int toSize) {
    // Find a power of 2 >= toSize
    //计算大于等于toSize的最小的2的整数次幂的值
    int capacity = roundUpToPowerOf2(toSize);
    //计算扩容阈值
    threshold = (int) Math.min(capacity * loadFactor, MAXIMUM_CAPACITY + 1);
    //初始化哈希表
    table = new Entry[capacity];
    //更新一下rehash的判断条件，便于以后判断是否rehash
    initHashSeedAsNeeded(capacity);
  }

4 put方法中调用的indexFor方法：

/**
   * Returns index for hash code h. 返回哈希值对应的哈希表索引
   */
  static int indexFor(int h, int length) {
    // assert Integer.bitCount(length) == 1 : "length must be a non-zero power of 2";
   //使用&操作，而不使用取余原因：均匀分布在哈希表中 。length-1目的是：由于table的长度都是2的整数次幂进行扩容，length-1的二进制全是1，计算效率高
    return h & (length-1);
  }

5 put方法中调用的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) {
   //判断是否扩容，只有size大于等于阈值而且当前插入table[i]!=null(就是able[i]已经被占用则扩容) 
   if ((size >= threshold) && (null != table[bucketIndex])) {
      resize(2 * table.length);
      hash = (null != key) ? hash(key) : 0;
      //如果需要扩容的话则需要更新再次重新计算哈希表位置
      bucketIndex = indexFor(hash, table.length);
    }
    //将值插入到哈希表中
    createEntry(hash, key, value, bucketIndex);
  }

6 addEntry方法中调用的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) {
    // 获取到哈希表指定位置
    Entry e = table[bucketIndex];
    // 链表的头插入方式进行插入，插入逻辑在Entry的构造器中。然后将新节点存储到 table[bucketIndex]中
    table[bucketIndex] = new Entry<>(hash, key, value, e);
    size++;//更新size即可
  }

Entry构造器：

/**
   * 
   * @param h hash值
   * @param k key
   * @param v value
   * @param n 原始链表
   */
  Entry(int h, K k, V v, Entry n) {
    value = v;
    //将原始链表接该节点后面
    next = n;
    key = k;
    hash = h;
  }

7 接下来看一下java.util.HashMap#addEntry扩容机制：

当进行扩容时候需要重新计算哈希值和在哈希表中的位置。

void addEntry(int hash, K key, V value, int bucketIndex) {
    //满足扩容条件进行扩容
    if ((size >= threshold) && (null != table[bucketIndex])) {
      //扩容，2倍进行扩容
      resize(2 * table.length);
      //重新计算哈数值
      hash = (null != key) ? hash(key) : 0;
      //重新计算哈希表中的位置
      bucketIndex = indexFor(hash, table.length);
    }

    createEntry(hash, key, value, bucketIndex);
  }

接下来看一下java.util.HashMap#resize方法：

/**
   * 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) {//判断当前old容量是否最最大容量，是的话更新阈值
      threshold = Integer.MAX_VALUE;
      return;
    }
    //创建新的表
    Entry[] newTable = new Entry[newCapacity];
    //元素转移，根据initHashSeedAsNeeded结果判断是否进行rehash
    transfer(newTable, initHashSeedAsNeeded(newCapacity));
    // 新表赋给table
    table = newTable;
    //更新阈值
    threshold = (int)Math.min(newCapacity * loadFactor, MAXIMUM_CAPACITY + 1);
  }

关于HashMap在并发情况下的常见问题，其实在多线程环境下使用HashMap本来就是有风险错误的，但是一般面试却喜欢这么问，下面列举一下自己印象中的常见问题：

1：在进行扩容时候，其他线程是否可以进行进行插入操作（多线程环境下可能会导致HashMap进入死循环，此处暂不考虑）？

答：首先HashMap就不是一个线程安全的容器，所以在多线程环境下使用就是错误的。其次在扩容时候可以进行插入的，但是不安全。例如：

当主线程在调用transfer方法进行复制元素：

/**
   * Transfers all entries from current table to newTable.
   */
  void transfer(Entry[] newTable, boolean rehash) {
    int newCapacity = newTable.length;
    for (Entry e : table) {
      while(null != e) {
        Entry 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;
      }
    }
  }

此时另一个线程在添加新元素是可以的，新元素添加到table中。如果子线程需要扩容的话可以进行扩容，然后将新容器赋给table。而此时主线程转移元素的工作就是将table中元素转移到newTable中。注意main线程的transfer方法：

如果main线程刚进入transfer方法时候newTable大小是32的话，由于子线程的添加操作导致table此时元素如果有128的话。则128个元素就会存储到大小为32的newTable中（此处不会扩容）。这就会导致HashMap性能下降！！！

可以使用多线程环境进行debug查看即可确定（推荐Idea的debug，的确强大，尤其是Evaluate Expression功能）。

2：进行扩容时候元素是否需要重新Hash？

这个需要具体情况判断，调用initHashSeedAsNeeded方法判断（判断逻辑这里先不介绍）。

/**
   * 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];
    //initHashSeedAsNeeded 判断是否需要重新Hash
    transfer(newTable, initHashSeedAsNeeded(newCapacity));
    table = newTable;
    threshold = (int)Math.min(newCapacity * loadFactor, MAXIMUM_CAPACITY + 1);
  }

然后进行转移元素：

/**
   * Transfers all entries from current table to newTable.
   */
  void transfer(Entry[] newTable, boolean rehash) {
    int newCapacity = newTable.length;
    //多线程环境下，如果其他线程导致table快速扩大。newTable在此处无法扩容会导致性能下降。但是如果后面有再次调用put方法的话可以再次触发resize。
    for (Entry e : table) {
      while(null != e) {
        Entry next = e.next;
        if (rehash) { //判断是否需要重新Hash
          e.hash = null == e.key ? 0 : hash(e.key);
        }
        int i = indexFor(e.hash, newCapacity);
        e.next = newTable[i];
        newTable[i] = e;
        e = next;
      }
    }
  }

3：如何判断是否需要重新Hash？

/**
   * Initialize the hashing mask value. We defer initialization until we
   * really need it.
   */
  final boolean initHashSeedAsNeeded(int capacity) {

    // hashSeed降低hash碰撞的hash种子，初始值为0
    boolean currentAltHashing = hashSeed != 0;
    //ALTERNATIVE_HASHING_THRESHOLD： 当map的capacity容量大于这个值的时候并满足其他条件时候进行重新hash
    boolean useAltHashing = sun.misc.VM.isBooted() && (capacity >= Holder.ALTERNATIVE_HASHING_THRESHOLD);
    //TODO 异或操作，二者满足一个条件即可rehash
    boolean switching = currentAltHashing ^ useAltHashing;
    if (switching) {
      // 更新hashseed的值
      hashSeed = useAltHashing ? sun.misc.Hashing.randomHashSeed(this) : 0;
    }
    return switching;
  }

4：HashMap在多线程环境下进行put操作如何导致的死循环？

死循环产生时机：

当两个线程同时需要进行扩容，而且对哈希表同一个桶（table[i]）进行扩容时候，一个线程刚好确定e和next元素之后，线程被挂起。此时另一个线程得到cpu并顺利对该桶完成转移（需要要求被转移之后的线程1中的e和next指的元素在新哈希表的同一个桶中，此时e和next被逆序了）。接着线程从挂起恢复回来时候就会陷入死循环中。参考：https://coolshell.cn/articles/9606.html

产生原因：主要由于并发操作，对用一个桶的两个节点构成了环，导致对环进行无法转移完毕元素陷入死循环。