JAVA非并发容器--HashMap-扩容策略

概述

我相信只要写过JAVA的程序要拿99%的都用过HashMap, 其是我们最常用,也是最基础的一个Map.本篇文章将从存储结构、hash规则、扩容策略、迭代器四方面来分析其源代码。

扩容策略

从HashMap的存储结构来讲,由于有链表,所以可以存储无限个元素,但是链表越长
hash冲突就越多,查询效率越低,所以需要对数组进行扩容和rehash.
put(key, value)方法如下:

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 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;
    }

当table是空数组的时候,需要首先调用inflateTable(threshold)初始话素组的大小,其代码如下:

private void inflateTable(int toSize) {
        // Find a power of 2 >= toSize
        int capacity = roundUpToPowerOf2(toSize);

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

当不为空的时候,调用 addEntry(hash, key, value, i):

  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);
    }

条件(size >= threshold) && (null != table[bucketIndex])和2*table.length就是扩容规则:
1:当元素个数大于阈值(一般是table.lengthx0.75),并且table[index]不为空时,扩容,为什么要不为空时?为空的时候说明table的槽还没有用完,hash冲突严重。
2:将数组扩大到原来的2倍.
resize()函数:

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);
    }

transfer()如下:

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;
            }
        }
    }

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