概述
LFU实现:
import java.util.LinkedHashMap;
import java.util.Map;
public class LFUCache {
class CacheEntry
{
private String data;
private int frequency;
// default constructor
private CacheEntry()
{}
public String getData() {
return data;
}
public void setData(String data) {
this.data = data;
}
public int getFrequency() {
return frequency;
}
public void setFrequency(int frequency) {
this.frequency = frequency;
}
}
private static int initialCapacity = 10;
private static LinkedHashMap<Integer, CacheEntry> cacheMap = new LinkedHashMap<Integer, CacheEntry>();
/* LinkedHashMap is used because it has features of both HashMap and LinkedList.
* Thus, we can get an entry in O(1) and also, we can iterate over it easily.
* */
public LFUCache(int initialCapacity)
{
this.initialCapacity = initialCapacity;
}
public void addCacheEntry(int key, String data)
{
if(!isFull())
{
CacheEntry temp = new CacheEntry();
temp.setData(data);
temp.setFrequency(0);
cacheMap.put(key, temp);
}
else
{
int entryKeyToBeRemoved = getLFUKey();
cacheMap.remove(entryKeyToBeRemoved);
CacheEntry temp = new CacheEntry();
temp.setData(data);
temp.setFrequency(0);
cacheMap.put(key, temp);
}
}
public int getLFUKey()
{
int key = 0;
int minFreq = Integer.MAX_VALUE;
for(Map.Entry<Integer, CacheEntry> entry : cacheMap.entrySet())
{
if(minFreq > entry.getValue().frequency)
{
key = entry.getKey();
minFreq = entry.getValue().frequency;
}
}
return key;
}
public String getCacheEntry(int key)
{
if(cacheMap.containsKey(key)) // cache hit
{
CacheEntry temp = cacheMap.get(key);
temp.frequency++;
cacheMap.put(key, temp);
return temp.data;
}
return null; // cache miss
}
public static boolean isFull()
{
if(cacheMap.size() == initialCapacity)
return true;
return false;
}
}
https://stackoverflow.com/questions/21117636/how-to-implement-a-least-frequently-used-lfu-cache
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