memcached（十）动态扩容

HASH的扩容

　　一般来说，hash容器都会在初始化的时候创建一块空间用于存放对象，对象的数量到达临界值后扩容整个空间。而不是一边增加/删除对象一边分配空间。本人根据是否阻塞，区分为静态扩容和动态扩容。

 

静态扩容

　　参考java.util.HashMap的实现。在put方法中，

    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:

    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);
    }

　　具体的resize动作：

    /**
     * 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);
    }

    /**
     * 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);
            }
        }
    }

　　hashMap 的put操作后如果到达某个阀值，执行整个resize动作。非常耗性能，而且并发高的时候容易引起数据一致性问题。

　　ConcurrentHashMap会把hash桶分为不同的segment，从而减少扩容的范围，减少性能损耗。为了保证并发安全性，使用了lock排它。依然是一个阻塞的，很损耗性能的动作。

        V put(K key, int hash, V value, boolean onlyIfAbsent) {
            lock();
            try {
                int c = count;
                if (c++ > threshold) // ensure capacity
                    rehash();
                HashEntry<K,V>[] tab = table;
                int index = hash & (tab.length - 1);
                HashEntry<K,V> first = tab[index];
                HashEntry<K,V> e = first;
                while (e != null && (e.hash != hash || !key.equals(e.key)))
                    e = e.next;

                V oldValue;
                if (e != null) {
                    oldValue = e.value;
                    if (!onlyIfAbsent)
                        e.value = value;
                }
                else {
                    oldValue = null;
                    ++modCount;
                    tab[index] = new HashEntry<K,V>(key, hash, first, value);
                    count = c; // write-volatile
                }
                return oldValue;
            } finally {
                unlock();
            }
        }

        void rehash() {
            HashEntry<K,V>[] oldTable = table;
            int oldCapacity = oldTable.length;
            if (oldCapacity >= MAXIMUM_CAPACITY)
                return;

            /*
             * Reclassify nodes in each list to new Map.  Because we are
             * using power-of-two expansion, the elements from each bin
             * must either stay at same index, or move with a power of two
             * offset. We eliminate unnecessary node creation by catching
             * cases where old nodes can be reused because their next
             * fields won't change. Statistically, at the default
             * threshold, only about one-sixth of them need cloning when
             * a table doubles. The nodes they replace will be garbage
             * collectable as soon as they are no longer referenced by any
             * reader thread that may be in the midst of traversing table
             * right now.
             */

            HashEntry<K,V>[] newTable = HashEntry.newArray(oldCapacity<<1);
            threshold = (int)(newTable.length * loadFactor);
            int sizeMask = newTable.length - 1;
            for (int i = 0; i < oldCapacity ; i++) {
                // We need to guarantee that any existing reads of old Map can
                //  proceed. So we cannot yet null out each bin.
                HashEntry<K,V> e = oldTable[i];

                if (e != null) {
                    HashEntry<K,V> next = e.next;
                    int idx = e.hash & sizeMask;

                    //  Single node on list
                    if (next == null)
                        newTable[idx] = e;

                    else {
                        // Reuse trailing consecutive sequence at same slot
                        HashEntry<K,V> lastRun = e;
                        int lastIdx = idx;
                        for (HashEntry<K,V> last = next;
                             last != null;
                             last = last.next) {
                            int k = last.hash & sizeMask;
                            if (k != lastIdx) {
                                lastIdx = k;
                                lastRun = last;
                            }
                        }
                        newTable[lastIdx] = lastRun;

                        // Clone all remaining nodes
                        for (HashEntry<K,V> p = e; p != lastRun; p = p.next) {
                            int k = p.hash & sizeMask;
                            HashEntry<K,V> n = newTable[k];
                            newTable[k] = new HashEntry<K,V>(p.key, p.hash,
                                                             n, p.value);
                        }
                    }
                }
            }
            table = newTable;
        }

可见，静态扩容这是一个阻塞的，很耗性能的动作来的。

 

动态扩容

　　对比静态扩容，动态扩容就是为了解决扩容的过程中会阻塞、影响性能的因素。先看看memcached的源码assoc_insert方法：

int assoc_insert(item *it, const uint32_t hv) {
    unsigned int oldbucket;

//    assert(assoc_find(ITEM_key(it), it->nkey) == 0);  /* shouldn't have duplicately named things defined */

    //正在扩容
    if (expanding &&
        (oldbucket = (hv & hashmask(hashpower - 1))) >= expand_bucket)
    {
        it->h_next = old_hashtable[oldbucket];
        old_hashtable[oldbucket] = it;
    } else {    //不需要扩容，item对象管理hash桶
        it->h_next = primary_hashtable[hv & hashmask(hashpower)];
        primary_hashtable[hv & hashmask(hashpower)] = it;
    }

    pthread_mutex_lock(&hash_items_counter_lock);
    hash_items++;
    //超过阀值，开始扩容
    if (! expanding && hash_items > (hashsize(hashpower) * 3) / 2) {
        assoc_start_expand();
    }
    pthread_mutex_unlock(&hash_items_counter_lock);

    MEMCACHED_ASSOC_INSERT(ITEM_key(it), it->nkey, hash_items);
    return 1;
}

　　扩容是通过线程来扩容。memcached的扩容并不是阻塞的。 

　　扩容的逻辑见：

#define DEFAULT_HASH_BULK_MOVE 1
int hash_bulk_move = DEFAULT_HASH_BULK_MOVE;

static void *assoc_maintenance_thread(void *arg) {

    mutex_lock(&maintenance_lock);
    while (do_run_maintenance_thread) {
        int ii = 0;

        /* There is only one expansion thread, so no need to global lock. */
        for (ii = 0; ii < hash_bulk_move && expanding; ++ii) {
            item *it, *next;
            int bucket;
            void *item_lock = NULL;

            /* bucket = hv & hashmask(hashpower) =>the bucket of hash table
             * is the lowest N bits of the hv, and the bucket of item_locks is
             *  also the lowest M bits of hv, and N is greater than M.
             *  So we can process expanding with only one item_lock. cool! */
            if ((item_lock = item_trylock(expand_bucket))) {
                    for (it = old_hashtable[expand_bucket]; NULL != it; it = next) {
                        next = it->h_next;
                        bucket = hash(ITEM_key(it), it->nkey) & hashmask(hashpower);
                        it->h_next = primary_hashtable[bucket];
                        primary_hashtable[bucket] = it;
                    }

                    old_hashtable[expand_bucket] = NULL;

                    expand_bucket++;
                    if (expand_bucket == hashsize(hashpower - 1)) {
                        expanding = false;
                        free(old_hashtable);
                        STATS_LOCK();
                        stats.hash_bytes -= hashsize(hashpower - 1) * sizeof(void *);
                        stats.hash_is_expanding = 0;
                        STATS_UNLOCK();
                        if (settings.verbose > 1)
                            fprintf(stderr, "Hash table expansion done\n");
                    }

            } else {
                usleep(10*1000);
            }

            if (item_lock) {
                item_trylock_unlock(item_lock);
                item_lock = NULL;
            }
        }

        if (!expanding) {
            /* We are done expanding.. just wait for next invocation */
            started_expanding = false;
            pthread_cond_wait(&maintenance_cond, &maintenance_lock);
            /* assoc_expand() swaps out the hash table entirely, so we need
             * all threads to not hold any references related to the hash
             * table while this happens.
             * This is instead of a more complex, possibly slower algorithm to
             * allow dynamic hash table expansion without causing significant
             * wait times.
             */
            pause_threads(PAUSE_ALL_THREADS);
            assoc_expand();
            pause_threads(RESUME_ALL_THREADS);
        }
    }
    return NULL;
}

　　其实就是线程实现的把旧hash桶的数据丢到新hash桶而已。从而避免了阻塞。

　　memcached get 操作的时候，如果正在扩容，就从旧的hash桶中获取数据，否则从primary桶中获取数据。