Tapestry4.0.x版本的PagePool实现很简单，只是使用一个map容器作为缓存，高并发的情况下容易导致OutOfMemoryException，下面是邮件列表中的相关内容，里边也提到了相关建议，估计会作为一个bug修改，在未修改之前，我会给出一个简单实现。




PagePool doesnt remove idle pages, heap memory doens't get reallocated
> ----------------------------------------------------------------------
>
>                 Key: TAPESTRY-1151
>                 URL: http://issues.apache.org/jira/browse/TAPESTRY-1151
>             Project: Tapestry
>          Issue Type: Bug
>          Components: Framework
>    Affects Versions: 4.0
>         Environment: java 1.4, apache tomcat 5.0 IBM websphere 5.0
>            Reporter: lionel gomez
>         Assigned To: Jesse Kuhnert
>            Priority: Minor
>
> This may not qualify as a bug since its so easy to provide override using hivemind, but instead an improvement for future releases. Also provided an optional page pool implementation.
> Tapestry 4.0 PagePool implementation doesnt remove idle pages. When having hundred of pages with a lot of components and high user concurrency, tapestry generates many instances of each page. These instances are pooled and never unreferenced and never garbage collected. Our 1GB heap eventually fills up and reduces the memory available to other parts of the application. Eventually causes OutOfMemoryException.
> We ensured caching is enabled and config change made to use unique locale, but still, heap eventually fills up.
> With Hivemind its very easy to override the pagePool and provide different implementation. A page pool that uses softReferences is a good option.
> Acording to java api:
> All soft references to softly-reachable objects are guaranteed to have been cleared before the virtual machine throws an OutOfMemoryError.
> This prevents OEM due to heap filling up.
> New SoftPagePool only changes a couple of lines to use soft references.
>   public synchronized Object get(Object key)
>   {
>       List pooled = (List) _pool.get(key);
>       if (pooled == null || pooled.isEmpty())
>           return null;
>       _count--;
>       SoftReference reference  = (SoftReference) pooled.remove(0);
>       //returns null if has been cleared by GC same as pool where empty
>       return reference.get();
>   }
>   public synchronized void store(Object key, Object value)
>   {
>       List pooled = (List) _pool.get(key);
>       if (pooled == null)
>       {
>           pooled = new LinkedList();
>           _pool.put(key, pooled);
>       }
>       SoftReference reference = new SoftReference(value);
>       pooled.add(reference);
>       _count++;
>   }
> Additionally the page pool  implementation can use a clean idle pages mechanism using same design as Tapestry 3.0 ThreadJanitor or setting a timestamp when storing pages and a TimerTask and Timer wich receives events on registry shutdown. All this by using hivemind overriding features

具体实现参考blog
http://tapestrying.iteye.com/group/blog/35221