概念
HashMap的底层存在着一个名字为table的Entry数组，在实例化HashMap的时候，会输入两个参数，一个是 int initCapacity（初始化数组大小，默认值是16），一个是float loadFactor（负载因子，默认值是0.75），首先会根据initCapacity计算出一个大于或者等于initCapacity且为2的幂的值capacity，例如initCapacity为15，那么capacity就会为16，还会算出一个临界值threshold，也就是capacity * loadFactor
/**
* Constructs an empty <tt>HashMap</tt> with the specified initial
* capacity and load factor.
*
* @param initialCapacity the initial capacity
* @param loadFactor the load factor
* @throws IllegalArgumentException if the initial capacity is negative
* or the load factor is nonpositive
*/
public HashMap(int initialCapacity, float loadFactor) {
if (initialCapacity < 0)
throw new IllegalArgumentException("Illegal initial capacity: " +
initialCapacity);
if (initialCapacity > MAXIMUM_CAPACITY)
initialCapacity = MAXIMUM_CAPACITY;
if (loadFactor <= 0 || Float.isNaN(loadFactor))
throw new IllegalArgumentException("Illegal load factor: " +
loadFactor);
// Find a power of 2 >= initialCapacity
int capacity = 1;
while (capacity < initialCapacity)
capacity <<= 1;
this.loadFactor = loadFactor;
threshold = (int)(capacity * loadFactor);
table = new Entry[capacity];
init();
}
initailCapacity，loadFactor会影响到HashMap扩容。
HashMap每次put操作是都会检查一遍 size（当前容量）>initailCapacity*loadFactor 是否成立。如果不成立则HashMap扩容为以前的两倍（数组扩成两倍），
然后重新计算每个元素在数组中的位置，然后再进行存储。这是一个十分消耗性能的操作。
所以如果能根据业务预估出HashMap的容量，应该在创建的时候指定容量，那么可以避免resize().
/**
* 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);
table = newTable;
threshold = (int)(newCapacity * loadFactor);
}
因为table数组的容量增加了，那么相应的table的length也增加了，那么之前存储的元素的位置也就不一样了，比如之前的length是16，现在的length是32，那么hashCode模16和HashCode模32的结果很有可能会不一样，所以就只有重新去计算新的位置，方法是遍历数组，在遍历数组上的entry链。
/**
* Transfers all entries from current table to newTable.
*/
void transfer(Entry[] newTable) {
Entry[] src = table;
int newCapacity = newTable.length;
for (int j = 0; j < src.length; j++) {
Entry<K,V> e = src[j];
if (e != null) {
src[j] = null;
do {
Entry<K,V> next = e.next;
int i = indexFor(e.hash, newCapacity);
e.next = newTable[i];
newTable[i] = e;
e = next;
} while (e != null);
}
}
}
下面来看put方法，首先会根据key值计算出其HashCode值，然后在通过一个indexFor方法计算出此元素该存放于table数组的哪个数组之中，再检测此table的此坐标位置的entry链是否存在此key或者此key值，若存在，则更新此元素的value值。
/**
* 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 (key == null)
return putForNullKey(value);
int hash = hash(key.hashCode());
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;
}
addEntry方法参数bucketIndex就是当前元素应该插入到entry数组的下标，先取出放在此位置的entry，然后把当前元素放入该数组中，当前元素的next指向之前取出元素，形成entry链表。（描述的不是很清楚，大概就是把新加入的entry当成头放入到数组当中，然后指向之前的链表），放入之后就去判断当前的size是否达到了threshold极限值，若达到了，将会进行扩容。
/**
* 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) {
Entry<K,V> e = table[bucketIndex];
table[bucketIndex] = new Entry<K,V>(hash, key, value, e);
if (size++ >= threshold)
resize(2 * table.length);
}
总结
负载因子表示一个散列表的空间的使用程度，有这样一个公式：initailCapacity*loadFactor=HashMap的容量。
所以负载因子越大则散列表的装填程度越高，也就是能容纳更多的元素，元素多了，链表大了，所以此时索引效率就会降低。
反之，负载因子越小则链表中的数据量就越稀疏，此时会对空间造成烂费，但是此时索引效率高。
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