modifying a ConcurrentHashMap and Synchronized ArrayList in same method

I have a collection of objects that is modified by one thread and read by another (more specifically the EDT). I needed a solution that gave me fast look up and also fast indexing (by order inserted), so I'm using a ConcurrentHashMap with an accompanying ArrayList of the keys, so if want to index an entry, I can index the List for the key and then use the returned key to get the value from the hash map. So I have a wrapper class that makes sure when and entry is added, the mapping is added to the hash map and the key is added to the list at the same time, similarly for removal.

I'm posting an example of the code in question:

private List<K> keys = Co开发者_运维知识库llections.synchronizedList(new ArrayList<K>(INITIAL_CAPACITY));

private ConcurrentMap<K, T> entries = new ConcurrentHashMap<K, T>(INITIAL_CAPACITY, .75f);

public synchronized T getEntryAt(int index){
     return entries.get(keys.get(index));
}

**public synchronized void addOrReplaceEntry(K key, T value){
     T result = entries.get(key);
     if(result == null){
         entries.putIfAbsent(key, value);
         keys.add(key);
     }
     else{
         entries.replace(key, result);
     }
}**

public syncrhonized T removeEntry(K key, T value){
     keys.remove(key);
     entries.remove(key, value);
}

public synchronized int getSize(){
     return keys.size();
}

my question is: am I losing all the benefits of using the ConcurrentHashMap (over syncrhonized hashmap) by operating on it in synchronized methods? I have to synchronize the methods to safely modify/read from the ArrayList of keys (CopyOnWriteArrayList is not an option because a lot of modification happens...) Also, if you know of a better way to do this, that would be appreciated...

Yes, using a Concurrent collection and a Synchronized collection in only synchronized blocks is a waste. You wont get the benefits of ConcurrentHashMap because only one thread will be accesing it at a time.

You could have a look at this implementation of a concurrent linked hashmap, I havnt use it so can't attest to it's features.

One thing to consider would be to switching from synchronized blocks to a ReadWriteLock to improve concurrent read only performance.

I'm not really sure of the utility of proving a remove at index method, perhaps you could give some more details about the problem you are trying to solve?

It seems that you only care about finding values by index. If so, dump the Map and just use a List. Why do you need the Map?

Mixing synchronized and concurrent collections the way you have done it is not recommended. Any reason why you are maintaining two copies of the stuff you are interested in? You can easily get a list of all the keys from the map anytime rather than maintaining a separate list.

Why not store the values in the list and in the map the key -> index mapping?

so for getEntry you only need on lookup (in the list which should be anyway faster than a map) and for remove you do not have to travers the whole list. Syhnronization happens so.

You can get all access to the List keys onto the event queue using EventQueue.invokeLater. This will get rid of the synchronization. With all the synching you were not running much in parallel anyway. Also it means the getSize method will give the same answer for the duration of an event.

If you stick with synchronization instead of using invokeLater, at least get the entries hash table out of the synch block. Either way, you get more parallel processing. Of course, entries can now become out-of-synch with keys. The only down side is sometimes a key will come up with a null entry. With such a dynamic table this is unlikely to matter much.

Using the suggestion made by chrisichris to put the values in the list will solve this problem if it is one. In fact, this puts a nice wall between keys and entries; they are now used in completely separate ways. (If your only need for entries is to provide values to the JTable, you can get rid of it.) But entries (if still needed) should reference the entries, not contain an index; maintaining indexes there would be a hopeless task. And always remember that keys and entries are snapshots of "reality" (for lack of a better word) taken at different times.