| 词条 | Object pool pattern |
| 释义 |
The object pool pattern is a software creational design pattern that uses a set of initialized objects kept ready to use – a "pool" – rather than allocating and destroying them on demand. A client of the pool will request an object from the pool and perform operations on the returned object. When the client has finished, it returns the object to the pool rather than destroying it; this can be done manually or automatically. Object pools are primarily used for performance: in some circumstances, object pools significantly improve performance. Object pools complicate object lifetime, as objects obtained from and returned to a pool are not actually created or destroyed at this time, and thus require care in implementation. DescriptionWhen it is necessary to work with a large number of objects that are particularly expensive to instantiate and each object is only needed for a short period of time, the performance of an entire application may be adversely affected. An object pool design pattern may be deemed desirable in cases such as these. The object pool design pattern creates a set of objects that may be reused. When a new object is needed, it is requested from the pool. If a previously prepared object is available it is returned immediately, avoiding the instantiation cost. If no objects are present in the pool, a new item is created and returned. When the object has been used and is no longer needed, it is returned to the pool, allowing it to be used again in the future without repeating the computationally expensive instantiation process. It is important to note that once an object has been used and returned, existing references will become invalid. In some object pools the resources are limited so a maximum number of objects is specified. If this number is reached and a new item is requested, an exception may be thrown, or the thread will be blocked until an object is released back into the pool. The object pool design pattern is used in several places in the standard classes of the .NET Framework. One example is the .NET Framework Data Provider for SQL Server. As SQL Server database connections can be slow to create, a pool of connections is maintained. When you close a connection it does not actually relinquish the link to SQL Server. Instead, the connection is held in a pool from which it can be retrieved when requesting a new connection. This substantially increases the speed of making connections. BenefitsObject pooling can offer a significant performance boost in situations where the cost of initializing a class instance is high and the rate of instantiation and destruction of a class is high – in this case objects can frequently be reused, and each reuse saves a significant amount of time. Object pooling requires resources – memory and possibly other resources, such as network sockets, and thus it is preferable that the number of instances in use at any one time is low, but this is not required. The pooled object is obtained in predictable time when creation of the new objects (especially over network) may take variable time. These benefits are mostly true for objects that are expensive with respect to time, such as database connections, socket connections, threads and large graphic objects like fonts or bitmaps. In other situations, simple object pooling (that hold no external resources, but only occupy memory) may not be efficient and could decrease performance.[1] In case of simple memory pooling, the slab allocation memory management technique is more suited, as the only goal is to minimize the cost of memory allocation and deallocation by reducing fragmentation. ImplementationObject pools can be implemented in an automated fashion in languages like C++ via smart pointers. In the constructor of the smart pointer, an object can be requested from the pool, and in the destructor of the smart pointer, the object can be released back to the pool. In garbage-collected languages, where there are no destructors (which are guaranteed to be called as part of a stack unwind), object pools must be implemented manually, by explicitly requesting an object from the factory and returning the object by calling a dispose method (as in the dispose pattern). Using a finalizer to do this is not a good idea, as there are usually no guarantees on when (or if) the finalizer will be run. Instead, "try ... finally" should be used to ensure that getting and releasing the object is exception-neutral. Manual object pools are simple to implement, but harder to use, as they require manual memory management of pool objects. Handling of empty poolsObject pools employ one of three strategies to handle a request when there are no spare objects in the pool.
PitfallsWhen writing an object pool, the programmer has to be careful to make sure the state of the objects returned to the pool is reset back to a sensible state for the next use of the object. If this is not observed, the object will often be in some state that was unexpected by the client program and may cause the client program to fail. The pool is responsible for resetting the objects, not the clients. Object pools full of objects with dangerously stale state are sometimes called object cesspools and regarded as an anti-pattern. The presence of stale state is not always an issue; it becomes dangerous when the presence of stale state causes the object to behave differently. For example, an object that represents authentication details may break if the "successfully authenticated" flag is not reset before it is passed out, since it will indicate that a user is correctly authenticated (possibly as someone else) when they haven't yet attempted to authenticate. However, it will work just fine if you fail to reset some value only used for debugging, such as the identity of the last authentication server used. Inadequate resetting of objects may also cause an information leak. If an object contains confidential data (e.g. a user's credit card numbers) that isn't cleared before the object is passed to a new client, a malicious or buggy client may disclose the data to an unauthorized party. If the pool is used by multiple threads, it may need the means to prevent parallel threads from grabbing and trying to reuse the same object in parallel. This is not necessary if the pooled objects are immutable or otherwise thread-safe. CriticismSome publications do not recommend using object pooling with certain languages, such as Java, especially for objects that only use memory and hold no external resources.[2] Opponents usually say that object allocation is relatively fast in modern languages with garbage collectors; while the operator ExamplesC#In the .NET Base Class Library there are a few objects that implement this pattern. The following shows the basic code of the object pool design pattern implemented using C#. For brevity the properties of the classes are declared using C# 3.0 automatically implemented property syntax. These could be replaced with full property definitions for earlier versions of the language. Pool is shown as a static class, as it's unusual for multiple pools to be required. However, it's equally acceptable to use instance classes for object pools. namespace DesignPattern.Objectpool { // The PooledObject class is the type that is expensive or slow to instantiate, // or that has limited availability, so is to be held in the object pool. public class PooledObject { DateTime _createdAt = DateTime.Now; public DateTime CreatedAt { get { return _createdAt; } } public string TempData { get; set; } } // The Pool class is the most important class in the object pool design pattern. It controls access to the // pooled objects, maintaining a list of available objects and a collection of objects that have already been // requested from the pool and are still in use. The pool also ensures that objects that have been released // are returned to a suitable state, ready for the next time they are requested. public static class Pool { private static List} In the code above, the PooledObject includes two properties that are not shown in the UML diagram. One holds the time at which the object was first created. The other holds a string that can be modified by the client but that is reset when the PooledObject is released back to the pool. This shows the clean-up process on release of an object that ensures it is in a valid state before it can be requested from the pool again. JavaJava supports thread pooling via public class PooledObject { public String temp1; public String temp2; public String temp3;
public String getTemp1() { return temp1; } public void setTemp1(String temp1) { this.temp1 = temp1; } public String getTemp2() { return temp2; } public void setTemp2(String temp2) { this.temp2 = temp2; } public String getTemp3() { return temp3; } public void setTemp3(String temp3) { this.temp3 = temp3; }} public class PooledObjectPool { private static long expTime = 6000;//6 seconds public static HashMap public static HashMap
public synchronized static PooledObject getObject() { long now = System.currentTimeMillis(); if (!available.isEmpty()) { for (Map.Entry if (now - entry.getValue() > expTime) { //object has expired popElement(available); } else { PooledObject po = popElement(available, entry.getKey()); push(inUse, po, now); return po; } } } // either no PooledObject is available or each has expired, so return a new one return createPooledObject(now); }
private synchronized static PooledObject createPooledObject(long now) { PooledObject po = new PooledObject(); push(inUse, po, now); return po; private synchronized static void push(HashMap PooledObject po, long now) { map.put(po, now); } public static void releaseObject(PooledObject po) { cleanUp(po); available.put(po, System.currentTimeMillis()); inUse.remove(po); }
private static PooledObject popElement(HashMap Map.Entry PooledObject key= entry.getKey(); //Long value=entry.getValue(); map.remove(entry.getKey()); return key; }
private static PooledObject popElement(HashMap map.remove(key); return key; }
public static void cleanUp(PooledObject po) { po.setTemp1(null); po.setTemp2(null); po.setTemp3(null); } } See also
References1. ^1 {{cite web | url = http://www.ibm.com/ | title = Java theory and practice: Urban performance legends, revisited | last1 = Goetz | first1 = Brian | date = 2005-09-27 | work = | publisher = IBM developerWorks | archiveurl = http://www.ibm.com/developerworks/java/library/j-jtp09275/index.html | archivedate = 2005-09-27 | quote = | accessdate = 2012-08-28}} {{refbegin}}2. ^{{cite web | url = http://www.ibm.com/ | title = Java theory and practice: Garbage collection in the HotSpot JVM | last1 = Goetz | first1 = Brian | date = 2005-09-27 | work = | publisher = IBM developerWorks | archiveurl = http://www.ibm.com/developerworks/java/library/j-jtp11253/ | archivedate = 2003-11-25 | quote = | accessdate = 2012-08-28}}
| last = Kircher | first = Michael |author2=Prashant Jain | title = Pooling Pattern | booktitle = EuroPLoP 2002 | place = Germany | date = 2002-07-04 | url = http://www.kircher-schwanninger.de/michael/publications/Pooling.pdf | accessdate = 2007-06-09 }}
External links
2 : Software design patterns|Software optimization |
| 随便看 |
|
开放百科全书收录14589846条英语、德语、日语等多语种百科知识，基本涵盖了大多数领域的百科知识，是一部内容自由、开放的电子版国际百科全书。