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Panda Core is the core module of Panda Framework, it contains commonly used utility classes similar to apache-commons.
package panda.lang.collection;
import java.io.Serializable;
import java.io.IOException;
import java.lang.ref.ReferenceQueue;
import java.lang.ref.SoftReference;
/**
* Cache following a "Most Recently Used" (MRU) algorithm for maintaining a
* bounded in-memory size; the "Least Recently Used" (LRU) entry is the first
* available for removal from the cache.
*
* This implementation uses a "soft limit" to the in-memory size of the cache,
* meaning that all cache entries are kept within a completely
* {@link java.lang.ref.SoftReference}-based map with the most recently utilized
* entries additionally kept in a hard-reference manner to prevent those cache
* entries soft references from becoming enqueued by the garbage collector. Thus
* the actual size of this cache impl can actually grow beyond the stated max
* size bound as long as GC is not actively seeking soft references for
* enqueuement.
*
* The soft-size is bounded and configurable. This allows controlling memory
* usage which can grow out of control under some circumstances, especially when
* very large heaps are in use. Although memory usage per se should not be a
* problem with soft references, which are cleared when necessary, this can
* trigger extremely slow stop-the-world GC pauses when nearing full heap usage,
* even with CMS concurrent GC (i.e. concurrent mode failure). This is most
* evident when ad-hoc HQL queries are produced by the application, leading to
* poor soft-cache hit ratios. This can also occur with heavy use of SQL IN
* clauses, which will generate multiples SQL queries (even if parameterized),
* one for each collection/array size passed to the IN clause. Many slightly
* different queries will eventually fill the heap and trigger a full GC to
* reclaim space, leading to unacceptable pauses in some cases.
*
* Note: This class is serializable, however all entries are
* discarded on serialization.
*
* @author Steve Ebersole
* @author Manuel Dominguez Sarmiento
*/
@SuppressWarnings("rawtypes")
public class SoftLimitMRUCache implements Serializable {
private static final long serialVersionUID = 1L;
/**
* The default strong reference count.
*/
public static final int DEFAULT_STRONG_REF_COUNT = 128;
/**
* The default soft reference count.
*/
public static final int DEFAULT_SOFT_REF_COUNT = 2048;
private final int strongRefCount;
private final int softRefCount;
private transient LRUMap strongRefCache;
private transient LRUMap softRefCache;
private transient ReferenceQueue referenceQueue;
/**
* Constructs a cache with the default settings.
*
* @see #DEFAULT_STRONG_REF_COUNT
* @see #DEFAULT_SOFT_REF_COUNT
*/
public SoftLimitMRUCache() {
this( DEFAULT_STRONG_REF_COUNT, DEFAULT_SOFT_REF_COUNT );
}
/**
* Constructs a cache with the specified settings.
*
* @param strongRefCount the strong reference count.
* @param softRefCount the soft reference count.
*
* @throws IllegalArgumentException if either of the arguments is less than one, or if the strong
* reference count is higher than the soft reference count.
*/
public SoftLimitMRUCache(int strongRefCount, int softRefCount) {
if ( strongRefCount < 1 || softRefCount < 1 ) {
throw new IllegalArgumentException( "Reference counts must be greater than zero" );
}
if ( strongRefCount > softRefCount ) {
throw new IllegalArgumentException( "Strong reference count cannot exceed soft reference count" );
}
this.strongRefCount = strongRefCount;
this.softRefCount = softRefCount;
init();
}
/**
* Gets an object from the cache.
*
* @param key the cache key.
*
* @return the stored value, or null if no entry exists.
*/
@SuppressWarnings("unchecked")
public synchronized Object get(Object key) {
if ( key == null ) {
throw new NullPointerException( "Key to get cannot be null" );
}
clearObsoleteReferences();
SoftReference ref = (SoftReference) softRefCache.get( key );
if ( ref != null ) {
Object refValue = ref.get();
if ( refValue != null ) {
// This ensures recently used entries are strongly-reachable
strongRefCache.put( key, refValue );
return refValue;
}
}
return null;
}
/**
* Puts a value in the cache.
*
* @param key the key.
* @param value the value.
*
* @return the previous value stored in the cache, if any.
*/
@SuppressWarnings("unchecked")
public synchronized Object put(Object key, Object value) {
if ( key == null || value == null ) {
throw new NullPointerException(
getClass().getName() + "does not support null key [" + key + "] or value [" + value + "]"
);
}
clearObsoleteReferences();
strongRefCache.put( key, value );
SoftReference ref = (SoftReference) softRefCache.put(
key,
new KeyedSoftReference( key, value, referenceQueue )
);
return ( ref != null ) ? ref.get() : null;
}
/**
* Gets the strong reference cache size.
*
* @return the strong reference cache size.
*/
public synchronized int size() {
clearObsoleteReferences();
return strongRefCache.size();
}
/**
* Gets the soft reference cache size.
*
* @return the soft reference cache size.
*/
public synchronized int softSize() {
clearObsoleteReferences();
return softRefCache.size();
}
/**
* Clears the cache.
*/
public synchronized void clear() {
strongRefCache.clear();
softRefCache.clear();
}
private void init() {
this.strongRefCache = new LRUMap( strongRefCount );
this.softRefCache = new LRUMap( softRefCount );
this.referenceQueue = new ReferenceQueue();
}
private void readObject(java.io.ObjectInputStream in) throws IOException, ClassNotFoundException {
in.defaultReadObject();
init();
}
private void clearObsoleteReferences() {
// Clear entries for soft references removed by garbage collector
KeyedSoftReference obsoleteRef;
while ( ( obsoleteRef = (KeyedSoftReference) referenceQueue.poll() ) != null ) {
Object key = obsoleteRef.getKey();
softRefCache.remove( key );
}
}
private static class KeyedSoftReference extends SoftReference {
private final Object key;
@SuppressWarnings({ "unchecked" })
private KeyedSoftReference(Object key, Object value, ReferenceQueue q) {
super( value, q );
this.key = key;
}
private Object getKey() {
return key;
}
}
}