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ConcurrentMap和Guava的LocalCache实现原理相近,底层的存储方式使用的时table方式来存储。这里使用最简单且最暴力的方式,在每次访问的时候均加锁。
ConcurrentHashMap接口:
public interface ConcurrentHashMap<K, V> { public V get(K k); public void put(K key, V value); public void putAll(Iterable<MapEntry<K, V>> kIterator); public V remove(K k); }
MapEntry:
public class MapEntry<K, V> { private K key; private V value; public K getKey() { return key; } public void setKey(K key) { this.key = key; } public V getValue() { return value; } public void setValue(V value) { this.value = value; } }
SimpleConcurrentHashMap接口:
import com.google.common.base.Preconditions; import com.google.common.collect.Maps; import java.util.HashMap; import java.util.Iterator; public class SimpleConcurrentHashMap<K, V> implements ConcurrentHashMap<K, V> { private final HashMap<K, V> cache = Maps.newHashMap(); public SimpleConcurrentHashMap() { } @Override public V get(K k) { Preconditions.checkNotNull(k); synchronized (cache) { return cache.get(k); } } @Override public void put(K key, V value) { Preconditions.checkNotNull(key); Preconditions.checkNotNull(value); synchronized (cache) { cache.put(key, value); } } @Override public void putAll(Iterable<MapEntry<K, V>> entryIterable) { Preconditions.checkNotNull(entryIterable); Iterator<MapEntry<K, V>> iterator = entryIterable.iterator(); while (iterator.hasNext()) { MapEntry<K, V> next = iterator.next(); this.put(next.getKey(), next.getValue()); } } @Override public V remove(K k) { Preconditions.checkNotNull(k); synchronized (cache) { return cache.remove(k); } } }
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原文地址:http://www.cnblogs.com/life91/p/4676626.html