ConCurrentHashMap源码分析
看初始化代码,跟hashmap不一致,concurrenthashMap初始化容量是2的n次幂+2的n-1次幂+1,其中n满足2的n次幂大于或等于初始容量,2的n-1次幂小于等于初始容量
public ConcurrentHashMap(int initialCapacity) { if (initialCapacity < 0) throw new IllegalArgumentException(); int cap = ((initialCapacity >= (MAXIMUM_CAPACITY >>> 1)) ? MAXIMUM_CAPACITY : tableSizeFor(initialCapacity + (initialCapacity >>> 1) + 1)); this.sizeCtl = cap; }
然后查看变量值可以看到,基本上的变量都采用了voltatile修饰,所有volatile变量使用前必须要刷新
/* ---------------- Fields -------------- */ /** * The array of bins. Lazily initialized upon first insertion. * Size is always a power of two. Accessed directly by iterators. */ transient volatile Node<K,V>[] table; /** * The next table to use; non-null only while resizing. */ private transient volatile Node<K,V>[] nextTable; /** * Base counter value, used mainly when there is no contention, * but also as a fallback during table initialization * races. Updated via CAS. */ private transient volatile long baseCount; /** * Table initialization and resizing control. When negative, the * table is being initialized or resized: -1 for initialization, * else -(1 + the number of active resizing threads). Otherwise, * when table is null, holds the initial table size to use upon * creation, or 0 for default. After initialization, holds the * next element count value upon which to resize the table. */ private transient volatile int sizeCtl; /** * The next table index (plus one) to split while resizing. */ private transient volatile int transferIndex; /** * Spinlock (locked via CAS) used when resizing and/or creating CounterCells. */ private transient volatile int cellsBusy; /** * Table of counter cells. When non-null, size is a power of 2. */ private transient volatile CounterCell[] counterCells;
然后查看获取元素的方法,其中spread方法是将hash值高位和地位混合到一起,然后高位为零获取一个hash值,这样可以减少hash冲突。因为如果map容量较小,hash值的高位经常变化和地位经常不变就会产生所有的求模预算依赖于低位,而低位经常不变化就会发生严重冲突,因此采用将高位和地位进行混合可以有效的降低这种冲突。
读取逻辑和hashmap基本一致,唯一不一致。
public V get(Object key) { Node<K,V>[] tab; Node<K,V> e, p; int n, eh; K ek; int h = spread(key.hashCode()); if ((tab = table) != null && (n = tab.length) > 0 && (e = tabAt(tab, (n - 1) & h)) != null) { if ((eh = e.hash) == h) { if ((ek = e.key) == key || (ek != null && key.equals(ek))) return e.val; } else if (eh < 0) return (p = e.find(h, key)) != null ? p.val : null; while ((e = e.next) != null) { if (e.hash == h && ((ek = e.key) == key || (ek != null && key.equals(ek)))) return e.val; } } return null; }
这个node和hashmap里面的node不一样的地方有如下。通过volatile修饰val和 next可以保证写操作立马同步回主存并且使得多cpu其他缓存数据失效,因此读操作没有加锁也是线程安全的不会读取到脏数据
static class Node<K,V> implements Map.Entry<K,V> { final int hash; final K key; volatile V val; volatile Node<K,V> next; Node(int hash, K key, V val, Node<K,V> next) { this.hash = hash; this.key = key; this.val = val; this.next = next; }
put操作主要是通过cas来保证向没有key存在的entry里面添加元素。如果说hash值冲突,就通过sychronized来避免多线程同时添加,如果不锁住会发生一个节点的next已经添加了一个值然后另一个线程替代了这个值或者操作不成功。其余操作和hashmap基本类似
final V putVal(K key, V value, boolean onlyIfAbsent) { if (key == null || value == null) throw new NullPointerException(); int hash = spread(key.hashCode()); int binCount = 0; for (Node<K,V>[] tab = table;;) { Node<K,V> f; int n, i, fh; if (tab == null || (n = tab.length) == 0) tab = initTable(); else if ((f = tabAt(tab, i = (n - 1) & hash)) == null) { if (casTabAt(tab, i, null, new Node<K,V>(hash, key, value, null))) break; // no lock when adding to empty bin } else if ((fh = f.hash) == MOVED) tab = helpTransfer(tab, f); else { V oldVal = null; synchronized (f) { if (tabAt(tab, i) == f) { if (fh >= 0) { binCount = 1; for (Node<K,V> e = f;; ++binCount) { K ek; if (e.hash == hash && ((ek = e.key) == key || (ek != null && key.equals(ek)))) { oldVal = e.val; if (!onlyIfAbsent) e.val = value; break; } Node<K,V> pred = e; if ((e = e.next) == null) { pred.next = new Node<K,V>(hash, key, value, null); break; } } } else if (f instanceof TreeBin) { Node<K,V> p; binCount = 2; if ((p = ((TreeBin<K,V>)f).putTreeVal(hash, key, value)) != null) { oldVal = p.val; if (!onlyIfAbsent) p.val = value; } } } } if (binCount != 0) { if (binCount >= TREEIFY_THRESHOLD) treeifyBin(tab, i); if (oldVal != null) return oldVal; break; } } } addCount(1L, binCount); return null; }
concurrenthashmap的remove方法是如何保证线程安全的。通过加锁和特殊的设置操作,setTabAt(tab, i, e.next);巧妙的将put和remove操作的冲突化解了。是将next放入原来位置,如果next有变动可以通过重新读取主内存的next值来保证代码的线程安全和一致性。
public V remove(Object key) { return replaceNode(key, null, null); } /** * Implementation for the four public remove/replace methods: * Replaces node value with v, conditional upon match of cv if * non-null. If resulting value is null, delete. */ final V replaceNode(Object key, V value, Object cv) { int hash = spread(key.hashCode()); for (Node<K,V>[] tab = table;;) { Node<K,V> f; int n, i, fh; if (tab == null || (n = tab.length) == 0 || (f = tabAt(tab, i = (n - 1) & hash)) == null) break; else if ((fh = f.hash) == MOVED) tab = helpTransfer(tab, f); else { V oldVal = null; boolean validated = false; synchronized (f) { if (tabAt(tab, i) == f) { if (fh >= 0) { validated = true; for (Node<K,V> e = f, pred = null;;) { K ek; if (e.hash == hash && ((ek = e.key) == key || (ek != null && key.equals(ek)))) { V ev = e.val; if (cv == null || cv == ev || (ev != null && cv.equals(ev))) { oldVal = ev; if (value != null) e.val = value; else if (pred != null) pred.next = e.next; else setTabAt(tab, i, e.next); } break; } pred = e; if ((e = e.next) == null) break; } } else if (f instanceof TreeBin) { validated = true; TreeBin<K,V> t = (TreeBin<K,V>)f; TreeNode<K,V> r, p; if ((r = t.root) != null && (p = r.findTreeNode(hash, key, null)) != null) { V pv = p.val; if (cv == null || cv == pv || (pv != null && cv.equals(pv))) { oldVal = pv; if (value != null) p.val = value; else if (t.removeTreeNode(p)) setTabAt(tab, i, untreeify(t.first)); } } } } } if (validated) { if (oldVal != null) { if (value == null) addCount(-1L, -1); return oldVal; } break; } } } return null; }