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/*
 * Copyright (c) 2008-2016, Hazelcast, Inc. All Rights Reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.hazelcast.cache.impl;

import com.hazelcast.cache.ICache;
import com.hazelcast.nio.serialization.Data;

import javax.cache.Cache;
import java.util.Iterator;
import java.util.NoSuchElementException;

/**
 * {@link AbstractClusterWideIterator} provides the core iterator functionality shared by its descendants.
 *
 *

Hazelcast cluster is made of partitions which holds a slice of all clusters data. Partition count * never increase or decrease in a cluster. In order to implement an iterator over a partitioned data, we use * the following parameters. *

    *
  • To iterate over partitioned data, we use partitionId as the first parameter of this iterator.
  • *
  • Each partition may have a lot of entries, so we use a second parameter to track the iteration of the * partition.
  • *
*

*

*Iteration steps: *

    *
  • fetching fixed sized of keys from the current partition defined by partitionId.
  • *
  • iteration on fetched keys.
  • *
  • get value of each key with {@link #next()} when method is called.
  • *
  • when fetched keys are all used by calling {@link #next()}, more keys are fetched from the cluster.
  • *
* This implementation iterates over partitions and for each partition it iterates over the internal map using the * internal table index of the map {@link com.hazelcast.util.SampleableConcurrentHashMap}. *

*

*

Fetching data from cluster:

* Fetching is getting a fixed size of keys from the internal table of records of a partition defined by * partitionId. Table index is also provided as a table index locator. Fetch response is the keys and * last table index. The last table index is included in the result to be used in the next fetch. *

*

*

Notes:

*
    *
  • Iterator fetches keys in batch with a fixed size that is configurable.
  • *
  • Fetched keys are cached in the iterator to be used in each iteration step.
  • *
  • {@link #hasNext()} may return true for a key already removed.
  • *
  • {@link #hasNext()} only return false when all known keys are fetched and iterated.
  • *
  • {@link #next()} may return null although cache never has null value. This may happen when, for example, * someone removes the entry after the current thread has checked with {@link #hasNext()}.
  • *
  • This implementation does not affected by value updates as each value is got from the cluster * when {@link #next()} called.
  • *
*

* * @param the type of key. * @param the type of value. * @see com.hazelcast.cache.impl.CacheRecordStore#iterator(int tableIndex, int size) * @see com.hazelcast.cache.impl.ClusterWideIterator * @see com.hazelcast.cache.impl.CacheKeyIteratorResult */ public abstract class AbstractClusterWideIterator implements Iterator> { private static final int FETCH_SIZE = 100; protected ICache cache; protected CacheKeyIteratorResult result; protected final int partitionCount; protected int partitionIndex = -1; protected int lastTableIndex; protected final int fetchSize; protected int index; protected int currentIndex = -1; public AbstractClusterWideIterator(ICache cache, int partitionCount) { this.cache = cache; this.partitionCount = partitionCount; //TODO can be made configurable this.fetchSize = FETCH_SIZE; } @Override public boolean hasNext() { ensureOpen(); if (result != null && index < result.getCount()) { return true; } return advance(); } @Override public Cache.Entry next() { while (hasNext()) { currentIndex = index; index++; final Data keyData = result.getKey(currentIndex); final K key = toObject(keyData); final V value = cache.get(key); // Value might be removed or evicted if (value != null) { return new CacheEntry(key, value); } } throw new NoSuchElementException(); } @Override public void remove() { ensureOpen(); if (result == null || currentIndex < 0) { throw new IllegalStateException("Iterator.next() must be called before remove()!"); } Data keyData = result.getKey(currentIndex); final K key = toObject(keyData); cache.remove(key); currentIndex = -1; } protected boolean advance() { while (partitionIndex < getPartitionCount()) { if (result == null || result.getCount() < fetchSize || lastTableIndex < 0) { partitionIndex++; lastTableIndex = Integer.MAX_VALUE; result = null; if (partitionIndex == getPartitionCount()) { return false; } } result = fetch(); if (result != null && result.getCount() > 0) { index = 0; lastTableIndex = result.getTableIndex(); return true; } } return false; } protected void ensureOpen() { if (cache.isClosed()) { throw new IllegalStateException("Cache operations can not be performed. The cache closed"); } } protected int getPartitionCount() { return partitionCount; } protected abstract CacheKeyIteratorResult fetch(); protected abstract Data toData(Object obj); protected abstract T toObject(Object data); }




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