JavaAlgorithms/DataStructures/Caches/LRUCache.java
2021-10-26 08:47:15 +03:00

183 lines
4.8 KiB
Java

package DataStructures.Caches;
import java.util.HashMap;
import java.util.Map;
/**
* Least recently used (LRU)
* <p>
* Discards the least recently used items first.
* This algorithm requires keeping track of what was used when,
* which is expensive if one wants to make sure the algorithm always discards
* the least recently used item.
* https://en.wikipedia.org/wiki/Cache_replacement_policies#Least_recently_used_(LRU)
*
* @param <K> key type
* @param <V> value type
*/
public class LRUCache<K, V> {
private final Map<K, Entry<K, V>> data = new HashMap<>();
private Entry<K, V> head;
private Entry<K, V> tail;
private int cap;
private static final int DEFAULT_CAP = 100;
public LRUCache() {
setCapacity(DEFAULT_CAP);
}
public LRUCache(int cap) {
setCapacity(cap);
}
private void setCapacity(int newCapacity) {
checkCapacity(newCapacity);
for (int i = data.size(); i > newCapacity; i--) {
Entry<K, V> evicted = evict();
data.remove(evicted.getKey());
}
this.cap = newCapacity;
}
private Entry<K, V> evict() {
if (head == null) {
throw new RuntimeException("cache cannot be empty!");
}
Entry<K, V> evicted = head;
head = evicted.getNextEntry();
head.setPreEntry(null);
evicted.setNextEntry(null);
return evicted;
}
private void checkCapacity(int capacity) {
if (capacity <= 0) {
throw new RuntimeException("capacity must greater than 0!");
}
}
public V get(K key) {
if (!data.containsKey(key)) {
return null;
}
final Entry<K, V> entry = data.get(key);
moveNodeToLast(entry);
return entry.getValue();
}
private void moveNodeToLast(Entry<K, V> entry) {
if (tail == entry) {
return;
}
final Entry<K, V> preEntry = entry.getPreEntry();
final Entry<K, V> nextEntry = entry.getNextEntry();
if (preEntry != null) {
preEntry.setNextEntry(nextEntry);
}
if (nextEntry != null) {
nextEntry.setPreEntry(preEntry);
}
if (head == entry) {
head = nextEntry;
}
tail.setNextEntry(entry);
entry.setPreEntry(tail);
entry.setNextEntry(null);
tail = entry;
}
public void put(K key, V value) {
if (data.containsKey(key)) {
final Entry<K, V> existingEntry = data.get(key);
existingEntry.setValue(value);
moveNodeToLast(existingEntry);
return;
}
Entry<K, V> newEntry;
if (data.size() == cap) {
newEntry = evict();
data.remove(newEntry.getKey());
} else {
newEntry = new Entry<>();
}
newEntry.setKey(key);
newEntry.setValue(value);
addNewEntry(newEntry);
data.put(key, newEntry);
}
private void addNewEntry(Entry<K, V> newEntry) {
if (data.isEmpty()) {
head = newEntry;
tail = newEntry;
return;
}
tail.setNextEntry(newEntry);
newEntry.setPreEntry(tail);
newEntry.setNextEntry(null);
tail = newEntry;
}
static final class Entry<I, J> {
private Entry<I, J> preEntry;
private Entry<I, J> nextEntry;
private I key;
private J value;
public Entry() {
}
public Entry(Entry<I, J> preEntry, Entry<I, J> nextEntry, I key, J value) {
this.preEntry = preEntry;
this.nextEntry = nextEntry;
this.key = key;
this.value = value;
}
public Entry<I, J> getPreEntry() {
return preEntry;
}
public void setPreEntry(Entry<I, J> preEntry) {
this.preEntry = preEntry;
}
public Entry<I, J> getNextEntry() {
return nextEntry;
}
public void setNextEntry(Entry<I, J> nextEntry) {
this.nextEntry = nextEntry;
}
public I getKey() {
return key;
}
public void setKey(I key) {
this.key = key;
}
public J getValue() {
return value;
}
public void setValue(J value) {
this.value = value;
}
}
public static void main(String[] args) {
final LRUCache<String, Integer> cache = new LRUCache<>(2);
cache.put("Key1", 1);
cache.put("Key2", 2);
cache.put("Key3", 3);
cache.put("Key4", 4);
System.out.println("getValue(Key1): " + cache.get("Key1"));
System.out.println("getValue(Key2): " + cache.get("Key2"));
System.out.println("getValue(Key3): " + cache.get("Key3"));
System.out.println("getValue(Key4): " + cache.get("Key4"));
}
}