java Thread-safe LRUCache implementation












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$begingroup$


What is best way to implement thread-safe LRUCache in java?
Please review this one.
Is there any better approach which can be taken here?



package cache;

import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

public class LRUCache<K,V> {

private ConcurrentLinkedQueue<K> concurrentLinkedQueue = new ConcurrentLinkedQueue<K>();

private ConcurrentHashMap<K,V> concurrentHashMap = new ConcurrentHashMap<K, V>();

private ReadWriteLock readWriteLock = new ReentrantReadWriteLock();

private Lock readLock = readWriteLock.readLock();

private Lock writeLock = readWriteLock.writeLock();

int maxSize=0;

public LRUCache(final int MAX_SIZE){
this.maxSize=MAX_SIZE;
}

public V getElement(K key){

readLock.lock();
try {
V v=null;
if(concurrentHashMap.contains(key)){
concurrentLinkedQueue.remove(key);
v= concurrentHashMap.get(key);
concurrentLinkedQueue.add(key);
}


return v;
}finally{
readLock.unlock();
}
}

public V removeElement(K key){
writeLock.lock();
try {
V v=null;
if(concurrentHashMap.contains(key)){
v=concurrentHashMap.remove(key);
concurrentLinkedQueue.remove(key);
}

return v;
} finally {
writeLock.unlock();
}
}

public V addElement(K key,V value){
writeLock.lock();
try {
if(concurrentHashMap.contains(key)){
concurrentLinkedQueue.remove(key);
}
while(concurrentLinkedQueue.size() >=maxSize){
K queueKey=concurrentLinkedQueue.poll();
concurrentHashMap.remove(queueKey);
}
concurrentLinkedQueue.add(key);
concurrentHashMap.put(key, value);

return value;
} finally{
writeLock.unlock();
}
}
}









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    $begingroup$


    What is best way to implement thread-safe LRUCache in java?
    Please review this one.
    Is there any better approach which can be taken here?



    package cache;

    import java.util.concurrent.ConcurrentHashMap;
    import java.util.concurrent.ConcurrentLinkedQueue;
    import java.util.concurrent.locks.Lock;
    import java.util.concurrent.locks.ReadWriteLock;
    import java.util.concurrent.locks.ReentrantReadWriteLock;

    public class LRUCache<K,V> {

    private ConcurrentLinkedQueue<K> concurrentLinkedQueue = new ConcurrentLinkedQueue<K>();

    private ConcurrentHashMap<K,V> concurrentHashMap = new ConcurrentHashMap<K, V>();

    private ReadWriteLock readWriteLock = new ReentrantReadWriteLock();

    private Lock readLock = readWriteLock.readLock();

    private Lock writeLock = readWriteLock.writeLock();

    int maxSize=0;

    public LRUCache(final int MAX_SIZE){
    this.maxSize=MAX_SIZE;
    }

    public V getElement(K key){

    readLock.lock();
    try {
    V v=null;
    if(concurrentHashMap.contains(key)){
    concurrentLinkedQueue.remove(key);
    v= concurrentHashMap.get(key);
    concurrentLinkedQueue.add(key);
    }


    return v;
    }finally{
    readLock.unlock();
    }
    }

    public V removeElement(K key){
    writeLock.lock();
    try {
    V v=null;
    if(concurrentHashMap.contains(key)){
    v=concurrentHashMap.remove(key);
    concurrentLinkedQueue.remove(key);
    }

    return v;
    } finally {
    writeLock.unlock();
    }
    }

    public V addElement(K key,V value){
    writeLock.lock();
    try {
    if(concurrentHashMap.contains(key)){
    concurrentLinkedQueue.remove(key);
    }
    while(concurrentLinkedQueue.size() >=maxSize){
    K queueKey=concurrentLinkedQueue.poll();
    concurrentHashMap.remove(queueKey);
    }
    concurrentLinkedQueue.add(key);
    concurrentHashMap.put(key, value);

    return value;
    } finally{
    writeLock.unlock();
    }
    }
    }









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      0












      0








      0





      $begingroup$


      What is best way to implement thread-safe LRUCache in java?
      Please review this one.
      Is there any better approach which can be taken here?



      package cache;

      import java.util.concurrent.ConcurrentHashMap;
      import java.util.concurrent.ConcurrentLinkedQueue;
      import java.util.concurrent.locks.Lock;
      import java.util.concurrent.locks.ReadWriteLock;
      import java.util.concurrent.locks.ReentrantReadWriteLock;

      public class LRUCache<K,V> {

      private ConcurrentLinkedQueue<K> concurrentLinkedQueue = new ConcurrentLinkedQueue<K>();

      private ConcurrentHashMap<K,V> concurrentHashMap = new ConcurrentHashMap<K, V>();

      private ReadWriteLock readWriteLock = new ReentrantReadWriteLock();

      private Lock readLock = readWriteLock.readLock();

      private Lock writeLock = readWriteLock.writeLock();

      int maxSize=0;

      public LRUCache(final int MAX_SIZE){
      this.maxSize=MAX_SIZE;
      }

      public V getElement(K key){

      readLock.lock();
      try {
      V v=null;
      if(concurrentHashMap.contains(key)){
      concurrentLinkedQueue.remove(key);
      v= concurrentHashMap.get(key);
      concurrentLinkedQueue.add(key);
      }


      return v;
      }finally{
      readLock.unlock();
      }
      }

      public V removeElement(K key){
      writeLock.lock();
      try {
      V v=null;
      if(concurrentHashMap.contains(key)){
      v=concurrentHashMap.remove(key);
      concurrentLinkedQueue.remove(key);
      }

      return v;
      } finally {
      writeLock.unlock();
      }
      }

      public V addElement(K key,V value){
      writeLock.lock();
      try {
      if(concurrentHashMap.contains(key)){
      concurrentLinkedQueue.remove(key);
      }
      while(concurrentLinkedQueue.size() >=maxSize){
      K queueKey=concurrentLinkedQueue.poll();
      concurrentHashMap.remove(queueKey);
      }
      concurrentLinkedQueue.add(key);
      concurrentHashMap.put(key, value);

      return value;
      } finally{
      writeLock.unlock();
      }
      }
      }









      share|improve this question







      New contributor




      AKS is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      What is best way to implement thread-safe LRUCache in java?
      Please review this one.
      Is there any better approach which can be taken here?



      package cache;

      import java.util.concurrent.ConcurrentHashMap;
      import java.util.concurrent.ConcurrentLinkedQueue;
      import java.util.concurrent.locks.Lock;
      import java.util.concurrent.locks.ReadWriteLock;
      import java.util.concurrent.locks.ReentrantReadWriteLock;

      public class LRUCache<K,V> {

      private ConcurrentLinkedQueue<K> concurrentLinkedQueue = new ConcurrentLinkedQueue<K>();

      private ConcurrentHashMap<K,V> concurrentHashMap = new ConcurrentHashMap<K, V>();

      private ReadWriteLock readWriteLock = new ReentrantReadWriteLock();

      private Lock readLock = readWriteLock.readLock();

      private Lock writeLock = readWriteLock.writeLock();

      int maxSize=0;

      public LRUCache(final int MAX_SIZE){
      this.maxSize=MAX_SIZE;
      }

      public V getElement(K key){

      readLock.lock();
      try {
      V v=null;
      if(concurrentHashMap.contains(key)){
      concurrentLinkedQueue.remove(key);
      v= concurrentHashMap.get(key);
      concurrentLinkedQueue.add(key);
      }


      return v;
      }finally{
      readLock.unlock();
      }
      }

      public V removeElement(K key){
      writeLock.lock();
      try {
      V v=null;
      if(concurrentHashMap.contains(key)){
      v=concurrentHashMap.remove(key);
      concurrentLinkedQueue.remove(key);
      }

      return v;
      } finally {
      writeLock.unlock();
      }
      }

      public V addElement(K key,V value){
      writeLock.lock();
      try {
      if(concurrentHashMap.contains(key)){
      concurrentLinkedQueue.remove(key);
      }
      while(concurrentLinkedQueue.size() >=maxSize){
      K queueKey=concurrentLinkedQueue.poll();
      concurrentHashMap.remove(queueKey);
      }
      concurrentLinkedQueue.add(key);
      concurrentHashMap.put(key, value);

      return value;
      } finally{
      writeLock.unlock();
      }
      }
      }






      java multithreading concurrency cache






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      AKS is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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