JAVA模板方法模式

模板方法模式的结构

　　模板方法模式是所有模式中最为常见的几个模式之一，是基于继承的代码复用的基本技术。

　　模板方法模式需要开发抽象类和具体子类的设计师之间的协作。一个设计师负责给出一个算法的轮廓和骨架，另一些设计师则负责给出这个算法的各个逻辑步骤。代表这些具体逻辑步骤的方法称做基本方法(primitive method)；而将这些基本方法汇总起来的方法叫做模板方法(template method)，这个设计模式的名字就是从此而来。

　　模板方法所代表的行为称为顶级行为，其逻辑称为顶级逻辑。模板方法模式的静态结构图如下所示：

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" 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　　这里涉及到两个角色：

　　抽象模板(Abstract Template)角色有如下责任：

　　■　　定义了一个或多个抽象操作，以便让子类实现。这些抽象操作叫做基本操作，它们是一个顶级逻辑的组成步骤。

　　■　　定义并实现了一个模板方法。这个模板方法一般是一个具体方法，它给出了一个顶级逻辑的骨架，而逻辑的组成步骤在相应的抽象操作中，推迟到子类实现。顶级逻辑也有可能调用一些具体方法。

　　具体模板(Concrete Template)角色又如下责任：

　　■　　实现父类所定义的一个或多个抽象方法，它们是一个顶级逻辑的组成步骤。

　　■　　每一个抽象模板角色都可以有任意多个具体模板角色与之对应，而每一个具体模板角色都可以给出这些抽象方法（也就是顶级逻辑的组成步骤）的不同实现，从而使得顶级逻辑的实现各不相同。

　　源代码

　　抽象模板角色类，abstractMethod()、hookMethod()等基本方法是顶级逻辑的组成步骤，这个顶级逻辑由templateMethod()方法代表。

public abstract class AbstractTemplate {
    /**
     * 模板方法
     */
    public void templateMethod(){
        //调用基本方法
        abstractMethod();
        hookMethod();
        concreteMethod();
    }
    /**
     * 基本方法的声明（由子类实现）
     */
    protected abstract void abstractMethod();
    /**
     * 基本方法(空方法)
     */
    protected void hookMethod(){}
    /**
     * 基本方法（已经实现）
     */
    private final void concreteMethod(){
        //业务相关的代码
    }
}

　　具体模板角色类，实现了父类所声明的基本方法，abstractMethod()方法所代表的就是强制子类实现的剩余逻辑，而hookMethod()方法是可选择实现的逻辑，不是必须实现的。

public class ConcreteTemplate extends AbstractTemplate{
    //基本方法的实现
    @Override
    public void abstractMethod() {
        //业务相关的代码
    }
    //重写父类的方法
    @Override
    public void hookMethod() {
        //业务相关的代码
    }
}

　　模板模式的关键是：子类可以置换掉父类的可变部分，但是子类却不可以改变模板方法所代表的顶级逻辑。

　　每当定义一个新的子类时，不要按照控制流程的思路去想，而应当按照“责任”的思路去想。换言之，应当考虑哪些操作是必须置换掉的，哪些操作是可以置换掉的，以及哪些操作是不可以置换掉的。使用模板模式可以使这些责任变得清晰。

模板方法模式中的方法

　　模板方法中的方法可以分为两大类：模板方法和基本方法。

　　模板方法

　　一个模板方法是定义在抽象类中的，把基本操作方法组合在一起形成一个总算法或一个总行为的方法。

　　一个抽象类可以有任意多个模板方法，而不限于一个。每一个模板方法都可以调用任意多个具体方法。

　　基本方法

　　基本方法又可以分为三种：抽象方法(Abstract Method)、具体方法(Concrete Method)和钩子方法(Hook Method)。

　　●　　抽象方法：一个抽象方法由抽象类声明，由具体子类实现。在Java语言里抽象方法以abstract关键字标示。

　　●　　具体方法：一个具体方法由抽象类声明并实现，而子类并不实现或置换。

　　●　　钩子方法：一个钩子方法由抽象类声明并实现，而子类会加以扩展。通常抽象类给出的实现是一个空实现，作为方法的默认实现。

　　在上面的例子中，AbstractTemplate是一个抽象类，它带有三个方法。其中abstractMethod()是一个抽象方法，它由抽象类声明为抽象方法，并由子类实现；hookMethod()是一个钩子方法，它由抽象类声明并提供默认实现，并且由子类置换掉。concreteMethod()是一个具体方法，它由抽象类声明并实现。

　　默认钩子方法

　　一个钩子方法常常由抽象类给出一个空实现作为此方法的默认实现。这种空的钩子方法叫做“Do Nothing Hook”。显然，这种默认钩子方法在缺省适配模式里面已经见过了，一个缺省适配模式讲的是一个类为一个接口提供一个默认的空实现，从而使得缺省适配类的子类不必像实现接口那样必须给出所有方法的实现，因为通常一个具体类并不需要所有的方法。

　　命名规则

　　命名规则是设计师之间赖以沟通的管道之一，使用恰当的命名规则可以帮助不同设计师之间的沟通。

　　钩子方法的名字应当以do开始，这是熟悉设计模式的Java开发人员的标准做法。在上面的例子中，钩子方法hookMethod()应当以do开头；在HttpServlet类中，也遵从这一命名规则，如doGet()、doPost()等方法。

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使用场景

　　考虑一个计算存款利息的例子。假设系统需要支持两种存款账号，即货币市场(Money Market)账号和定期存款(Certificate of Deposite)账号。这两种账号的存款利息是不同的，因此，在计算一个存户的存款利息额时，必须区分两种不同的账号类型。

　　这个系统的总行为应当是计算出利息，这也就决定了作为一个模板方法模式的顶级逻辑应当是利息计算。由于利息计算涉及到两个步骤：一个基本方法给出账号种类，另一个基本方法给出利息百分比。这两个基本方法构成具体逻辑，因为账号的类型不同，所以具体逻辑会有所不同。

　　显然，系统需要一个抽象角色给出顶级行为的实现，而将两个作为细节步骤的基本方法留给具体子类实现。由于需要考虑的账号有两种：一是货币市场账号，二是定期存款账号。系统的类结构如下图所示。

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wTYDWxSC79M01TUWbhbJEH5+rAFX4FF6k0m7CyLG0y5kZwRSlKnber4IXJqjWX+fZ6kiTsNnARSEw4DEhMODtzy33EHVN+O3OLVrvMyZqAxFSxJV6MSySmc0XVxhUSU/v7vu+tWtUA/fQ4gcgoo76CKBgnKKvCbYIdF9W6rjU3AgIxIDEDcvlSiWllsSMxbTgixfzrNlv0zjnngXu7rgb8FsISMxBguGrZN7LltaJj8UlAYsJhQGLC2VGDrrOr0nfmea7DWr7ImBy6G42EiuN4ro+XzRFliMtfFTRO9cpziuQKiSkXZXq37/slElMWjOfPyOyn/JfqS5GYGvucsJiTfYGcHLeSmOPz0KnMj8+FowkLZIswOXs+ekO890DcPWXu23GFDEjMuewaL5eYkyPQsAQkJhwGJCacHTXoZVkmSRLHsUgH+TE5XqV/dl3nyJqyLKVPnVzuI/3uFRPlK0rMLMvslOsSiRlYumRFlXXImxtFKz70y1QCOTluKDGrqhKf10A44SK2ODPpNpZt9pjs+74oCuvjMW4iMe1H2jY7/x8JJCYcBiQmnB1r0O3kuO0+u66zvbKdBXZ6a/Vmq+va+S8Rdk4Hv1Biqv+fMAyD/CnrKgIP+rrB0WHyp86e2/RojFVVOeNzdi2OXrST/r5Qk2xxcnI0c+hzOen8l+MIu1BiOl6SgRXlMjA5F85oNHogWxQ7nhe++CLLtVrbtjZ8Wa9j/9cv4nFViSkfGMyPXwcSEw4DEhPOzhKJOY5jmqYiU2RGOMsykWVW5DmCL8sy/bOuaxFMMjetkk6GTmXOWh/0u3OZ95R7ZCG5XJcpV7lelmUcx86iEF83JEmiequua1mIYxWYrs9wFt/oPXmeyw2y+ljvkZzRV7OyOM9zfUE7jFpVlQYbyEkdE5VF6Jr5vsqxK0u6rpOM6vvekZj+B4DibJg/Pq9r0eJ2HA39bLFoGpS5nYzCFJesKJel3PZZ540mi/h2iamvLz4DOhvAnu0XgcSEw4DEhLNjDfowDNpN+vO84lpXVVXTNHZIqe97kUp+Vyr+nU4f3/e9nCIo6sTKLBlwUqxkkUnPwtsHR6NwhJRe9xMgsVdVJX6HToBd1/mx2LSpWHQSqXE5OVZ47oAalJPJczmp7y5ekhKavqAkQMO0D4oIdkKzOTN6+PpP7pSELckW/3H7mtdtey6FsvBmGeSWBNd17ddkp4gDVWWcqZOBzC/L0ubSMAz73JZ/tyAx4TAgMeHsYNBBkM8GX0SGh/eWoC6JZ/BNdBY5DcPw8AMzXxdYJDgMSEw4Oxh0GJ/XG/lDjLJ+3PGFvZqT7BCpQ55lWWZZdnhVvS5YJDgMSEw4Oxh0ANgPWCQ4DEhMODsYdADYD1gkOAxITDg7GHQA2A9YJDgMSEw4Oxh0ANgPWCQ4DEhMODsYdHggsvja2QYLzgwWCQ4DEhPOzuEN+klWMb9G8jyfPCcJzszhLRKcByQmnB3HoNttuid3Q6zr+sXDqW3gclLz5GbmPkVR5Hkex/Hth+/VdZ3neZIkN+7pGEYSnKZpmqb2aMdXh5xGIwcylWW5wYE0ztlIfd9ftyv7dUh0k0eoL0FawVwtXbEanxAkJhwGJCacHcegFx+eRj35yMK9uK2svGgDav+wvqu5YtvwK47PviKWx46tTsZuD6Gxh3/eCV/eFUXhHHR5VwIHtS/BDsFOsmI1PhVITDgMSEw4O45Bt7JyTmQsUVRyeri9Utf1wh73sRLzuhO0L43lseOdk7FbiSnnrS8Jyp5rv5yqqiZHtbc8COdGiVkUBRLzHiAx4TAgMeHsqEEviiKO4yiKYsPkTOISRTU5DLZw6O6BEvM62XFpLM4Zg9sz+Y7XScwsy64orDRNJ0eL564HuGLUWUBi7hMkJhwGJCacHTXowzC0bSuKQXBOlBbVmGVZlmVWIYnXY1VVVlMmSRI4clC8/ZxH7LN+39x1XZZldV3riXx931uv0KIo/AcnxV9ZlmVZSrL1Bfu+F9/NOI7Ff9SZtC2Koqqqoij893JiUT8/Sa3NLok0juMkSSQWq5C6rpN4i6LQ65LnIvgkx6zun3zESbB9TXk8iiL1kdX7raYsisLGMlleRVFIwqRiOEUpSZIEjB5z+lUemfyvOeY+hOaQZEuarcScrMbWX9PxQhaJKdmbZZlfK+aq8Vx5gYDEhMOAxISzMzdR3ratncq0ktHRTPrIMAzaHwfWOth1Ek3T+PrA75u7rtPb7OCT9PGBB32J6YwgOlpnbmTL+g+kaerssOPHIqOAqpaSJLF6YlL4ioaW377rahzHOmyWJIkkIPBImqY6ZuzrvEmFJ1GoZrJBBcprUkjZefCmaXyn3jlReJ1jw3JValV1WZaaY3PV2EmqTZ5IVSnWYRjiOHYk42Q1DhQxCEhMOAxITDg7c8t9rI9d0zS2O7QdrdNNynrkMSgxrSCYlHR+35ymqQpcGbzUxy+VmM4WjEskpqNK/cHXSYlpw3ESNimknBXKzsBYHMf+OFngEee/HE08JzHHcazr2vnfcHlNSkwnBD9LV5SYF+E4A2jC5qrxGJSY9hssyzLHu3SyGgeKGAQkJhwGJCacHWeiXNbJtm0rE6MiTWRkSx/RjrbrOl+OSJcc3rFFVJp00ksk5ty86hUSc3zeSknmZJdITNmTqHjGmaqejOUKiSkT9BqLszPUnCice0QSkKbp5AhfQGKOU3I2UF6TY3U6ICosL9A8z++nupxC0T8D1XgMSsxwmU6+daCIQUBiwmFAYsLZcZb7OEj/6nSf+qe/KKSqKum2JzeklKlbq3sWjmKuKDFlfnMu5Ln0hKXAWhIzIMrnRGF4QYlMUsdxvHwUc/SyKFxefp4vWSrkOxtoaPfzUJyTmIFqPK4tMVkA9CJITDgMSEw4O9agt22ra1xsf+l44Nne1OmbdYaxLEtnqK+qqr7vu66b7OYtft88qWPGqySmk+CAxFRfxrIsnZlxZ2n8LRJTFZV1BvCZFG2BR2x0vgNlWGL2fa+/Xywv+2qaLU74/k4Ck8uArAvEnZibKJ+rxuNiiem7hIb9PWAOJCYcBiQmnB1HYmqn6A/JqBiS1dDy29ng0PbHSZKoYO37fnJuva5r6YntmJbfN9vVGKPZutIKoKZp4jj2l4H7EtOuIteV2jZ2+eGsdtLXV/+BQCxhiSkz9RqaXnTUjJPs0SPwiL3uH5yTJInIPptdNoo0TeX1XywvXXrf972tPI5nhZ94X01e55sohxItvFk2JdDfWkaBahzHseSVbPWq7+W845IvpXARg4DEhMOAxISzYw1613UqHZwhGZEp6pBXlqUOTdV1LXsA+V2mdMPO5jiyO4zcL9sk2ZEh8XSUuOycqahMCc0qPPFpE+lgPfnkTz3aUYWFbn5UFIX864xQVlUlEdlYZEsjfzOjYuoASbtp0fi82Y2z46OfLePzvLbzjvKnbnLkF99ktkiu1nU9WS6S7fZdJArVaiKG5MFAeWlcdtjPycY5ISXb99gkXXeekOT88vu1HMXBVDNtrhpL8anzblVVqs7FZVnyx9kxYK4az5UXKEhMOAxITDg7GHR4FKLY5PeWB5TDnsEiwWFAYsLZwaDDA5FRZzYhBwWLBIcBiQlnB4MOAPsBiwSHAYkJZweDDgD7AYsEhwGJCWcHgw4A+wGLBIcBiQlnB4MOAPsBiwSHAYkJZweDDgD7AYsEhwGJCWcHg/7q0P19rttIEmDPYJHgMCAx4ezcz6B3XSd7U6+yxbScPLTBgShyyuW9Y7maLMt0ix9n9/INkAK95fG5vB2GoW3bpmmc85ngbCAx4TAgMeHs3FtixnHsHKN3HW3blmXpH9O3OhcdSLgxzjmH4zgWRbHlsddSoFc/HjjsRySmf3QQnA0kJhwGJCacnXsbdP+k5qtxDv5ewhV6JU3TW1TUjYTHCCdffwPZbbklc14ch/ZPe4ezgcSEw4DEhLNzbImZpumlUdR1Hcfxo86bCQygypnak49sObOPxIS7gsSEw4DEhLNzkUEXh0j/etd1XddNyrI5idk9YwNXPzz1zHNin5SY4uHnyCyZdZXY27YdhsH+rzhc+spM9E2apjqaOAyDJKNtW3lB/WHjct7RJr7ruqZpJAHqyyheBDYc8QQQv4JJn8UsyyZzsqqqS2XZnFoNoNnoSEy/HLuus2OxtlhVYs5VpDmJOVdecDyQmHAYkJhwdhYa9KZp8jzv+77v+yRJVBtZ78CiKPx53kmJmWWZ3FmWpWqduq5VQQ7D4Pvt+RKz6zpd/lJVlR0CFDE3KTE1zU3TOMOckhibqr7v4zguy1LcEOWHJqNt2zRNJVvyPNc3LctSE991nWaCBJLneVVVEo7mpKQzIDHtzeFseZFLnQFEc4tqtw9mWSY5aTWrvK/eI6WgSc3zXDJKituR/pMSM1BecDyQmHAYkJhwdtSgN01TTCG3WdGQJIleT9NUxdCk1vElpg3WWT5iBYSvNvzwi6Kwy18c2TSZnqZprBLN89yGIDE6IkmD9X84IslqKZt4mwl2/ZP/jgHlN6eurpCY4zgu9wRwluBoCp3RU/suNqmOIrdJFblp4/IzJFxecDyQmHAYkJhwdpYY9KqqrGjw1UnXdTJut0RixnHszKvq70slpqanrmuZZX7xfmdw1A6MyRibxGuDmpOYTdM44SdJorPqAYkZeMeAxAyMYt51bM8pLyuvbcna3A5ITKspJ78ZnAwJlBccEiQmHAYkJpydJQY9sAijrus0TVVXLZSYcxFdKjG7rrN+k0skZpIkaZraYVodFbPqR8XiOC8xi6JwBuFUD91DYmZZNrk/kZ2UvwdOkvzc8P8rIDFtUpdIzEB5wSFBYsJhQGLC2Vli0MuydFY66+ywnSleLjHnZmkvlZiqbjXk8P2jN+3r/Jf+tnO4cxLTehkKSZKI3r2HxBR3WP+69VW4BwGJ6Yxi3kNislPm2UBiwmFAYsLZWWLQZYmPvSIjSY5EkD+HYXDcEx2JqWt99Cm9wYbmawtfkUyqH7uUW+/XGJ2Z1mEYdL2zMyGrz4Z9MW0CrJaygtWqsYUSc3KFvq+Y+76/YuK4aZrlh/RkWaZZJIuf5Hfx4eouO5jqLAiby5ayLP2d5H1fzLnygkOCxITDgMSEs7PQoMt6bZGDeZ7rsJlOKMtqIR3GG5/35ZErjsrUFcp1XduROZkSlSiyLHPWEukKcb2oK5q7rtPYbVxpmtZ17SgqXdRsFY9dRS7vG8dxXdciqmSDIefH+KFzoV1RPj6PaMrQoyyQkp2YrNyU17SKXJaztDP7R0om2yvXbYqZJMnyFeWiYpum0RXlmpl5nmvp29wrikJqi/gSxHGsrhQ68OxrR7ve3MkTv7zgqCAx4TAgMeHsLDfofd9Pbmcomk9GrWT7HrkuElPxn5rcmkdvdrazsUE5q4XsjomTAfoX/XeZ/FO0joTg/3DS4GXY78N0diayurn19uyczC7FCllZ5DR3Z4ArzmH330Xw98XU6623gaiN3XlHyVWb7c4j4WyBw4DEhMOAxISzg0F/deR5Lt4Il26fDrB/sEhwGJCYcHYw6ACwH7BIcBiQmHB2MOgAsB+wSHAYkJhwdjDoALAfsEhwGJCYcHYw6ACwH7BIcBiQmHB2xKA/PT01AACP5u3bt0hMOAZITDg73333XQSwBj/5yU8enQQ4CN98882jTSPArSAxAcYvv/zyNwA38G//9m9/9Ed/FEXRT3/601/96lePTg68bt6+ffvjjz8+2i4C3AoSEwDgVj777LMoip6enn7+859/8sknj04OAMDjQWICANzEf//3f3/00Uf/9E//NI7j09OTaM1HJwoA4MEgMQEAbuJP//RPP/744/fv34/j+OOPP/7lX/7lz372s9/97nePThcAwCNBYgIAXE+WZVEUvX37Vq80TRNF0d/+7d8+MFUAAA8HiQkAcCXff//9z3/+81/+8pfO9S+++CKKonfv3j0kVQAAewCJCQBwJZ988kkURf/7v//rXP/tb6sqCO8AACAASURBVH/7Z3/2Z7/4xS+YLgeA04LEBAC4hn//93+Pouhf//VfJ//366+/jqLoH//xHzdOFQDATkBiAgBczO9+97uPP/74k08+Cexf+Pd///cfffTR//zP/2yZMACAnYDEBAC4mL/7u7+Loujbb78N3PP+/fuf//zn/+///b/NUgUAsB+QmAAAl/Hu3buf/vSn//zP//zinf/xH/8RRdGvf/3rDVIFALArkJgAAJfxi1/84k/+5E9++9vfvnjnjz/++Mtf/vJnP/vZ999/v0HCAAD2AxITAOACPv/88yiKvvzyy4X3f/fdd1EU/dVf/dVdUwUAsDeQmAAAS/n+++8/+uijf/iHf7joqV/96lfO9uwAAIcHiQkAsJS/+Iu/+Pjjj3/44YeLnvrxxx///M///A//8A/ZJhMAzgMSEwBgEb/+9a+jKPrNb35zxbP/9V//FUXRZ599tnKaAAD2ChITAOBl/u///u8P/uAP/vqv/zqwEWaYzz///KOPPuJUSQA4CUhMAICX+Zu/+RsZwmyu5Ztvvomi6I//+I8f/SoAAFuAxAQAeIHvv/8+Wo///M//fPQLAQDcHSQmAMDLZFn22UuIt2WYf/mXf2HRDwCcASQmAMA6RBEWFQDg/weDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIALAOSEwAAAWDCACwDkhMAAAFgwgAsA5ITAAABYMIt/LmzZsIAKLoJz/5yaOTAPAY3rx58+i+CHYHEhNuJWLkBgDg3NARgA91Am4FywIAcHLoCMCHOgG3gmUBADg5dATgQ52AW8GyAACcHDoC8KFOwK1gWQAATg4dAfhQJ+BWsCwAACeHjgB8qBNwK1gWAICTQ0cAPtQJuBUsCwDAyaEjAB/qBNwKlgUA4OTQEYAPdQJuBcsCAHBy6AjAhzoBt4JlAQA4OXQE4EOdgFvBsgAAnBw6AvChTsCtYFkAAE4OHQH4UCfgVrAsAAAnh44AfKgTcCtYFgCAk0NHAD7UCbgVLAsAwMmhIwAf6gTcCpYFAODk0BGAD3UCbgXLAgBwcugIwIc6AbeCZQEAODl0BOBDnYBbwbIAAJwcOgLweUydeP/+fQNHIYqiRycB1uT9+/cPMQtwKugFDgYdwcFYpSN4gMT84YcfIgDYMd9+++32lgHOA70AwP65vSN4gMRsmiaKos8///w3ALAzvvjiiyiKvv766+0tA5wHegGAPbNWR/AwiUkfBrBDaJ6wAVQzgD2zVgtFYgLA76F5wgZQzQD2DBITANaH5gkbQDUD2DNITABYH5onbADVDGDPIDEBYH1onrABVDOAPYPEBID1oXnCBlDNAPYMEvN1UBRFURTDMMifwzDIlaZpNoi9aZqiKMqy1CtlWUoCrg4tTdP1EjiOz1m0bphwNadqnvAoqGbb0Pe92PyqqpqmGYZBzLhQVVXf9/5TdV1nWbZ9amE/IDFfB1VVRVFUVZX9M8syFZ13ZRiGJEniONYrcRzHcVzX9XWh5XmeJMl1z869chzH14V5b7que3QSHsCpmic8CqrZBrRtG8dxVVVt25ZlGUWRqMwsy+I4btu2qqokSfI8dx50eo39cE6b/BCQmK+Dtm1FU8qfeZ5HUbTloJ0YC/1UFYl5dWhFUVwnB+eGKpum2a05S5KkbdtHp2JrTtU84VFQzTYgjmM7hVUUhahJa8b7vo/j2DHO0k1sM9V2Eee0yQ8Bifk6EImp7TlJku0lpny8js85/xCJmabp5FvneV4UxQ7N2TAM8qH/6IRszamaJzwKqtm9KcvSN/Uy2OGYcRnU1D+bppEr/ujmYzmtTX4ISMzXQdu2aZpqA5avQyu2yrJM0zTPc9VYZVmK8KrrOk3TLMuc2YGqquS6PqLuNfLNqq424zimaZokifyWaW5rTST2NE39j135Xuy6LssyTYPaJnUqtQ+KbUrTVB0D5JE0TaMoEpXpCM0kSeQz2jdnkjb/9TUWG/U4jn3f53kuseiobVmWWZZJpJJmeS/9rbP/Gpr+VxRFUhBORMfmVM0THgXV7N4kSTI3HOBITJlDVzOb53lVVVmW+Y9L15OmqeNqpbZ3zow7HRw2ef8gMV8HbdvmeS7fXio3VWYlSSKflU3TqItk13ViHbIs08c1QBF8+oiIOWmT+oUnHjbyW5q3GAsJU0NT6SnB6joeSaoELtYkjmP/81eceNQwSaR93/d9r+9lQ8vzXH7b/JHQfHOmIVRVZSf65U+xVtaLqOs6nRWSz3d5RK7ra4ovrOaSuIGKr5KdVBIvJXGiFZ19SZm/bk7VPOFRUM3uTcDH3ZGYMtWmllnMuJhH+5RYabHw1qHfGk/HWX+ug8Mm7x8k5uugbVuZCNaRRW1d8lvvtE3akWhOC9RH7FSINHtpeHmea8uUMUW5TXSeHVJVM+EkZvzQQtV1LYpNbVOe53bJocSu36liROxaRd/dZxzHpmlEIzrvZRWnfX3HtMkArf626bGK2SppG5qYMGtYA2b3PJyqecKjoJrdm1sk5vhsbPWimGhdsukMlOinvu1Hwh0cNnnnIDFfByIxZXJBRha1cTqzw7b9zLVA0V7tM44y03kK+dbUixKCDEk6zV5EnqTNl5h2vlsQ2+SYm/HZfLQGx71yUmLKJ6/Ebm2Hc7N+sPreRfKajsAdP7RuYXOmj2DOhFM1T3gUVLN7c53ElOFG6bDssgH7PT8+G95xHLuuc+ykmusrOjhs8n5AYr4ORGKKNtKhRJWY/jq+cAsUIVh8iEo9maqWeXYNUwbz1AfUai+xGqLMJkcx/cYst8kYoR01dEZqhRclppXC9obJmycT6WeRIJP7GgvmbDmnap7wKKhm92bSF1MMmiMxrV0VR0w/hDnPzoCdvKKDwybvByTm60Akpl1Xrg3PzoaPz+1HPgHnWqDjlzmar0lB9J91hRaJqcOEak2ckciLJOb4PBWuc9by7WsT4ydM30gjdbx29E9/9Y9E5LsHqYp1xlwZxbyaUzVPeBRUs3vjdxayUHL0JKaMWcpv+9lvrajvLi822Z9BGoZBe7FLOzhs8n5AYr4ORNWNU4OXjmByVtJMtkDJOm3Pbds6Z+3Iah4r7+QGNRb+D41dfKvtNMekxNREOp7dzjerY4/0f2Xx+2jsnU2A/1syShVn/OFOb2maysvqKii9ro84rkILzZl1RZKFSuM5OFXzhEdBNbs3/oaXaZrqnJXaOllDo31KeAJdzaDtenw/+MkRgcJbKqrXsck7BIn5OhBPRzllp21bmTHX6WlRaSKhZI57fPY4VHMgu7XneS6Df9Ju8zy3jyht29o2KXahLEu5PgyDeNjkea7rvmV/Crkun7A6ny7bQ+igY9M0siLeLtzWvZPEOshuFPJSNmEaoEQhGaL5YBMm9+teS87Xs7z+ZCxi6eR1rMmr61peTZC81TX4qnfFl8DRryJVVz8zc8+cqnnCo6CabYBuBmKtZfN82oUsEkiSRCejZIRCbaB0PWItx+dhUb/rEdcscfR35OZkBzdik18DSMzXgax9GZ+doLuukyuq2/q+13sE5x5dQKM3+I8oZVnaBjkMQ/u8v4OM9jmhyW/d38e5x4lFQtMA/XdxAnSQ+5079Vk/Og1/Llf9WOQRfz8Le12fsjE6r+ZE5CfgwJyqecKjoJpthmMt1dbNmTu9eFHXMxlg4BFs8s5BYsIHyJDk3BJCgIXQPGEDqGYAewaJCR8gcwdsSAs3QvOEDaCaAewZJCYArA/NEzaAagawZ5CYALA+NE/YAKoZwJ5BYgLA+tA8YQOoZgB7BokJAOtD84QNoJoB7BkkJgCsD80TNoBqBrBnkJgAsD40T9gAqhnAnkFiAsD60DxhA6hmAHvm1UvMp6enBgB2xtu3b+n74d409AIAO2atjuABEvPdu3cRAOyYp6en7S0DnAd6AYD9c3tH8LBRzE8//fQzANgZb968iaLoq6++2t4ywHmgFwDYM2t1BPhiAsDvoXnCBlDNAPbMWi0UiQkAv4fmCRtANQPYM0hMAFgfmidsANUMYM8gMQFgfWiesAFUM4A9g8QEgPWhecIGUM0A9gwSEwDWh+YJG0A1A9gzSEwAWB+aJ2wA1QxgzyAxAWB9aJ6wAVQzgD2DxASA9aF5wgZQzQD2DBITANaH5gkbQDUD2DNITABYH5onbADVDGDPIDEBYH1onrABVDOAPYPEBID1oXnCBlDNAPYMEhMA1ofmCRtANQPYM0hMAFgfmidsANUMYM8gMQFgfWiesAFUM4A9g8QEgPWhecIGUM0A9gwSEwDWh+YJG0A1A9gzSEwAWB+aJ2wA1QxgzyAxAWB9aJ6wAVQzgD2DxASA9aF5wgZQzQD2DBITANaH5gkbQDUD2DNITABYH5onbADVDGDPvHqJ+fT01ADAznj79i19P9ybhl4AYMes1RE8QGK+e/cuAoAd8/T0tL1lgPNALwCwf27vCB42ivnpp59+BgA7482bN1EUffXVV9tbBjgP9AIAe2atjgBfTAD4PTRP2ACqGcCeWauFIjEB4PfQPGEDqGYAewaJCTBL27ZN04zjWBTFo9PyyqB5wgZQzWADxP43TdN13aPT8spAYu6XYRgenYRT0/d9lmXyu2maqqoem57XxeGbJ+yBfVYzTPeRyPO8bVv9/djEvDqOIzGtApgcc6rrOk3ThcNRTdPkeZ7neVEUZVm+eH+e51mWxXG8KOlB6rrO8zxJkg1GzuQF7x3LKqRpmmVZmqZpmuZ5nqbpknK5MUbbVeR5/ho/YdM0fYg43mffDwfDr2Za27uum2ywYl0Xhl+WpXYELzb/vu/FNC0PP8CKfUqYvu9XSfAGlGUp9j9JkizLpEe4a4x1Xdsu0o47vCJE/Dwk6uNITFsP5ipBURRLFJWVlcMwLG9+K5qDhUm19H1/aSxJkuzTuDjDAF3XSW60bSsJHobhrh+UZVn6yuxRrVS5YnQkSZKHfHkjMWED/GqmZrNpGh18clhiqIdhsB+ZZVkuNMhqo1ZhA4lZVVUcx3N59UB8c5dlmVxMkkQSXBTFFR3fcnybXxRFXdf3i/FFrugF6rqO4/iuGTXHcSSmlZVzfeoS3eZ/0tV1vbD5PVZiXqok+r4vimIDE3YFzrur2rPm+67jr5OdRJ7n4pr5KF7LkPOIxIRNcKpZ27baRoqimOuMlxi9LMucj8yFw1ePlZht214qFnWY9qKnNsBPkl5Ridn3/f1sclVVk3Nljx2X2WFJBTiCxBSdFEVRbJgccFqi27Is87Xawu+GB0rMK+xaVVWip/f2/RoYMFjXfM/Rtu1kdzJ3Pcxa0+vLx1H2ABITNsBWs3iKSeP2oqHu+96/Z+Eg0GMlZpZlV0jMpml2OJ0VSNI23VaappOFPnc9wIojiNeV1KP8g48gMYdhkL6/fcZxmxPVKK4btpMWr8eqqqymTJIk8FUk86fOI8qkOfBj6fveeoUWReE3mEmJWZZlWZYSoL6gOAAlSRLHsXyPOsP4RVFUVVUUhfNekh7/+7XruizL6rrOssyRR+JC4GudyZy0jjLWEVZ/F0Uh5aIJk3DiOJbp3TzPnZbpm+8sy9RvVULOskwGaKUoJRY/qLlsGYP6/tLmXZZlFEXLVaa4/khOahrmssW67corW89LeXGnagUyX5D6k2WZuD1dPSWExIQNsNWsbVsxztoLODVfOgJ/6kZtl9b2sOSSRqr/Ov87KTHFsceJRWyU/BYnP39kxO9TxGuormvHDhdFIb6b8ppOD6WGxbFsfd+LxfAjmrTqY7CD8N+xrmtrgqwjrFon7aBtOGmaRlE0N8LqmDXpUtVeScaKndTrEoUzMj2XLcKcvpdHJv9rjrlhrzlsV6txzWWLdduV/Ne4RB5IL2nDD2T++Dx8K7HbWnoFR5CY8qfmUdu2dnDbSkYrMaWFyG9xu5HfAa+UNE31v5qmWWIOrBUQE6CJtHV6icR0DIoT19yns606aZpaiyCGw3mRruv0TydMK0eSJNF6P5eT44eOLPaNrKr2vV0DCm/yNZMkUflo39e6IfrvYhPpK+lbvLgsNj+X3Ox87TipmswW1dDjOJZl6RiLyao1l/nqfCbX+76/+tsXiQkb4FQz639p251d7tC2rW3F1qprdx7oVruus/+VJIljPeZslDYl6xVnEzn5oG9w7JU8z52Z3MnhPTvh2zSNNREyl+W/yFzPFeggJnNy9MypTb8Mi+i7OLotYGz913Q83Kzlt326VZmBbNE3moz9Oje25apUBpI0/U4y5rIljmPNaqc056rWZOaLHJff8qa3DBgfR2JqkVtnFOdj1NYMX9RLbQtITFtFrjAHtuSukJjOplxLJKajSp2RVHmdYRgcg6s6Uj4B5bdjWO136lxOjkGJGZDLl0rM4nl5Vt/3zteFzVX92Ahkiwa4lsS8CGci3he+cxIzoGJfrFpO6QcevAgkJmxAYNFnYG5K67zf9uW/AhJzGAY7cuk3E99GybJ0/dNOs14hMa2J823CZLN1ApmUYo5aneu55jqIuZwcX5KYgXe5SGKOZrCgqio1nk6u2j8D2aIBTsZ+hcS8iOLDfWycNw1IzLkJ2BerltM7a4y3e30cQWLKRLlMi+hcidQwGeDRRzQfu65zyqmqKqlP4bV1OoNZluWL5iBQPFdIzPF5KyX5QFwSl8wRFM/Y8XOZGhDiONYGGZgamPQNCOTkuJXE1O/XsiztbLiTqzqGHciWFxNwb48lmb/wp/UDqQrbu4skpjMmcWniLUhM2ABnolx7AXWdktscC6N/+lt6iTGcNO+KOKVoL/CixAw4X10hMcfnj2SxXS9KTDHRhcHeI1axKAo7TR/oueY6iLmcHDeUmCpz7Ye68y7qZRvOlnACNlj3KVtfTS42CkjMudAukpjWbcDZs+kKjiAxRSQ5SGtxaq3+6cyVjONYVZWUQTK1IaXMcdhWtMQcrCsxCzNbsTCuyXcRnJlircoBiTkZVCAnx60k5vg8MBCeI1aJGcgWYW52e3IyZXVkLDZJEieuDSSmDLdI13XjbppITNgAZ7mPs+hTxwvmJKZ1+NH/EoU66QQ5Ps+M6az3QokZcL4KPOin3AnNb/uT6Zmz6l3X2W1E9bYrJOZcTo4bSszx2SHBjobMScxAtii+D5XGssEGQOI3FcfxQv+BtSTmOI46BHN7f3cEiTmOY9u21ofa3jOncnyPb5FZssrB/pd4qzgzxVdMlI/j2HWd2KYrJOaclfTTY/dyc4Ye9b/sdfvKkxZqnPJ/1wyfy8lxDYn54nIfQb5fw25J+mcgW+zNfiz+4ph1cQJ3DNxctqwoMVcco0ViwgYEtq5zDOykl5G/clH/y592LJ7nQOz1JRLTH2tU43mpxHRsV1hiWu9Pe4/tIKwlCUxnac8110EEcnJLiSmLVwJuiLYjm8sWZXIZkHUPuBPWE8Nfq3BviVlcvpgpwHEkpv2ws7fZDw67/sPZ8srxQtMyljmR0ZsR1oVyAf/I0XNw0ditYG2aJo5jfxm4397sKvL4efmYTbb8cPwR9fXVf0B3Mhfs95xduzN6/kzWRUNjCeRkHMfSbmUu23EitrfZNxV/AA3c/lf489rRo3aiwXlwMlss/gTBdZalLEtbcGGKD5e3y9J4/XMuW1aUmLLwMI7jJEnmvuAXgsSEDXCqmSO/9Lf1FJQmqXrCmjt74IJzIErxvMW3c66YtC/HnDo2SqyfxlhVlTZzu2lDPnXskC8xbapy7/w59ZLv+972iZM54xg0OxI513MFOoi5nLSy2Mn8sMTUTPOX7c9JTGckaPRGK2UtvMY4V2EU3+ZfN9Dgz0oFcA6W84tpMlvWkphys/QCL874vchBJKY9K8wRJTJ/qk2xLEstPNn3YdLboHhepWv/S7ye5X7x9dH/lZuT5z1lnKA0Ac512WFHgnU27tGTErUa6VYRxfN+GU5EVVX533CyZ4GgQYnbjV2FbRuA7u6Re0cm6nX/o3wyJ8VMq/9oVVXiLC9vJwkoisJvfnOxaLaMHn4DFokpxs55ZDJb/ACtwnP+XIh8iix8UD6aJSftokLFyZa5qiIUz26mUmq6z9Fc5lun/r7v5UCIS99XQWLCBgSW+zgdgWy2IB4gjkoonvcAclqQOMb4llACEcMi98j/6gYxavT0EbHevsERnxy5LlJVbcVcnyImQhIgj/tbxPtTOto7WOthBYRaBqvAJnuuQAcxl5PZM9ZHNjfnJDu7Dgnt85Y6Tmj58wGSk6bbMfUimCRhflB+tjg4u3yIv+/knWHmuq1JtMeULtXfssDJloD8mKuTgcy3AlfiuuWs5oNITDg5ukDeEnCBWojK1knBdzD8+REkJuwcqhlYdA8m5fY10TI4Ir9f4wHll+JklzNMfilITHjdFM+77DrXxbHhdp8SMVj3Xj+4E2RERBfk3pJ7NE/YAKoZCLpPiHNdlk7eeMSa2P+HnPG9PTKyq/vz7GRrESQmPIw5pxzroQvLadv2dmNK84QNoJqBMqkjpRdY6xTf8yAd6O3hIDEBYH1onrABVDOAPYPEBID1oXnCBlDNAPYMEhMA1ofmCRtANQPYM0hMgGs4lQP4FdA8YQOoZvBYTrUe9AqQmAAXY7exuG6btMND84QNoJrBA7G72rG0dJLjSEz7GTG5hWHTNBedjCQnYjVNs2QxmmyOv8q5UpLOwGawqyC7fCsrHhi1JcMw6CvUdb1NI5ddlPVPKa8N4rXRXV1e8vhclZZaoXsj3wJ9P2yAX820IxiGwT8ScHzeUXx5+LIv4JIWoeZold0TV+xT5rD2U5jMsf0jxSQ0TbNNR+DsPJ9l2Za5d2M1C5wJt241Po7EtPk1N7AUyFYnZA2haZqFG1APw3DLVtUO95aYGstrH4STMyrs73vvT+Gc7jWOox7vsQ0Lq/EcLyrI27esH5GYsAl+NbPn4M1V44WG2h4CZM9yC2Mt0o2s26eEY3ml4lKxfZnshXnX6PyRBTlH8K6ROtxSN+RQ08ANa1Xj40hMW7pzJb2wb3ZyVs7pWpKkFc3BFTLiCrF4RSxbjtgtid05vEGOTFwS1HW7ZtrPD+W648uv5kaJWRQFEhOOgVPN+r7XpmEPY3RYYqj9VrZQQNx+nIzl0j7lOrN2aSyP7QUmE+CUl5wevCSo6wZZJot447GGG/VGuM9aqxofQWLKJ4ue2i6/J83Bkr55cnx4/xJzGIYrVM6lsWw8Kezjv6PTEuSwnyVBvai05hIwWRnu/dFsQWICCLaapWmaGKRHmGytSwx1HMeOQl24pOOxEvM6s3ZpLFt+UftMdkO+xFxiJK/rN+Vo+MmEbTkriMS8L5p0qXBSpdR/xX7BiIdZWZbO7HPf93L2tPVsS5Ik4OjWNE1d184jymSR+7GIr4P+WVWV49UxzsiIruuqqqrr2r6dhCYmVZ1R7FPyyGSCnVjUz09dW9TIypU4juWQLt9rx89JLYvxeXTB+az0H7EJFv8njUWkv76jPuW0hCzLbCPXwrJ5IhkeRZHUB3++QxI22aPMteo8zy9dVDh57mWAi6pxURTW2cPmmHRCWsT+BNmcxJwrr0mQmLABtppJnddGLZZKq7eYIDGPTitWg6Pmrm3bQP/d973/iDLXN/uPyEl98lvMuG8QJpNxb7OmXZLaHP2vOTssNE0jSyGdjiPLMglEArSdnf+Ik2D7moFuyHnlOI71qdX7TVmn4V8fLx9rqOva/5gJcFE1Fsmrue0Mn0nXLO/iL1+Zq8Zz5TXHESSm/KmNs+s6W/xaucX5QP9LPkSkgtqPjziO574C8zzXkpBG6Nzgm4OmabRQrTKo69r55HIi9W1EXdcao+9IMVch8jyXkIdhSJLE0RN+LNLqJMfatnU+dCaF72g8nZ1HxMunqioJ0Obt3COa4NGUneLnsLy4TA+VZWmDsk6TWZY5rWhSSLVtax16/JedsyBzORPgIol5aTV2vs5t8uS35MZktZnMmbnymgOJCRvgVDM7TWxradd1SZJIp1iWpTUjWZapjFA35WJ+MsTxitFglck2pW6djnulvXPyQd/i3cOs+bEkSZKmqaTZf2RS+Np9Nqwb6/jc92VZJgpJM3DuEevX6GfLpLEVgS4VwPpl3qnfnBtQuHRk8SKJeWk1Hj/sT53kSQckr+Z3tZM5EyjiOQ4oMa2V6brO5qmtmmma2nLVEgpITGkhGssSc2ANkBVAbdteKjHlk24urrkKYUWMbykmJaZ9xIllsm07VS1NU6dO2+HbFx9xFtM4BjQgMbMsczwc5jSWMGmLnTyctO/jFFdIzOVcUY3H+dd3ijhNU+dL3c+ZcBFPgsSEDVi46NOp5Nqa7BDAaCRIQGJ2XWdD9huLb4rtaKXErgNLtpEul5j6ey2zNtlzqe31E+bf76g3EUM2nf6rBR6xmnj0eoGwxLQ9zni3fvPGlWTXcWk1Hr2k2uTZNV5OFzNO5Uy4iOc4jsTUSmAlpjMyrFWz73snQ8uylDsDEnN8Hr2Xb7IXzYFfbMoVElPQzYaWNBWZNW6fqarqxc9B58oSiSlNWmNxpnEncyDwiCRycgZqMjR98cm1/13XSXn5C0L9PJda0Rr8e+YKtLjnxk9XVOMxKDHtSy3ppcJFPAkSEzZgocR0Boq01UzOk8hIW7j7bJ63llsiMf2vOPtfgQfHGYOzgVmz9yyRmGK3bSxzX8ULH0mSZG6cbE5iysViajXF6v3m3FqiuzrlX1qNx6DEdIZLXsyZcHnNcQSJzCv+QgAABOlJREFUKfXGQbLPqYv6p599TdPIlcBKNDv8vsQcTN6j/3WpxKzr2g5ZLYlLRsJtnXjR4/N2idkaB0o/hCWP9H0vttsfMgxITHlfZ7BNi3KJkJI2036IE50/L6bX77eW8IpqPN5TYjrlNQkSEzbAVjOnC4iiSMcLHLuhfzoWY3yu/JPdp9R5GcvRp5ZIzMD6uetGMVc3a7dLTBHlc7HMicLAI+M4VlUlS7gcgR6WmM6H9z36TWfU0IZ214VQl1bjcVWJ+WJ5TXIEiTkMg3j7yTtL5ZA64cxQ2KrpiyeRj/Jp6ETUdZ0zSrzEHPiDTNoxt5dLTEfcLGkqL442rSIxAwbUD+HFR6x2sWNyc6HZF7euCIGiD6Thxc+ysiwnByTu+vF6RTUeL5GYzjeVnzPhIp4EiQkbYKuZdPDa+VkvtDnj6VtI/S/fQ07utL4o4zKJOenoJj8ulZh3Mmu3S0z7cesz2XEEHrGSTnpeWxZhiTl+qMLv0W+OMwY/z/O7HmJyRTVeUWKGi3iOI0jM0Zsct7fZTJFlaPLbWQKsHzrijm0LUvps57tWCqDrOtsYJr84bSwau/3ckRhflJiTg+Raoa0C1tbly+IXnVrCElOmG5xYHKvnrDWbtG6BRwL+lKMpzaZp5BGnJdgJAt8W2/ZvfaI1W5z+Y9LQ+M2suGqWfPlmzuPl1Xj0rImVmLbD88dl/V4qXMSTIDFhA+Y88scPG6+t89ajxlm7Y5eGOAZE12I7g2rSWGyDmuybHSmpBsfOfhQLnK/uZNYulZi+HR49S+KsQ5+zpZOPFB/uaersuDLZDdkorBi6R785ztj86xSYf5bHHNdV48lHxg8Lva5rp+edG9+dK+I5ji8xZZxcRneyLLP7Gkotcb53x+dVulJlrc2SbwUxKOKXYLvtoiji5+0PbALSNJUHnVjSNBWfj+LD/TXEyydNU7moAkK6+bZtpYFJsM5SDwnNtgd9fSdhGoi8hbQWqe5a46uqiuPYWfWsoTmflSKYig83x5nLk7lHxuf9zHQcwpmhkEzQZjMMQ57nsfHvlkU/kmniAtU8HwHnbGVlS9lGodnox65Z6mx+cd3kiLpzLOGKaiy70Es+y1PySFmW4gIvj9jaIrVC5omKD/czmiuvOZCYsAELJeb4Ybu2MlEbjhUuGoJf52V0oGka2RVE7pFGpBsPWaMqyJyvb4flDJXieVsfOyQxZz9XNGt6VKDYeW3y0rtpZjo2dvTssB+1s2Oa350FHtGcr6pK9hvyd95wuiHpuRwHBlkuvW6/6aTB/um/3RJkYfhyJ6tLq7HIZfHxkx3E9TXlijxi9WWgGs+VV4CDSEyALXF2VnrtZ6/dA5onbADVDB6F3VugefShJLsFiQlwDWJQmqa51EnxJNA8YQOoZvBA2raVkUv05RxITABYH5onbADVDGDPIDEBYH1onrABVDOAPYPEBID1oXnCBlDNAPYMEhMA1ofmCRtANQPYM69eYj49PTUAsDPevn1L3w/3pqEXANgxa3UED5CY3333XQQAO+abb77Z3jLAeaAXANg/t3cED5CY4zh++eWXvwGAXfL27dsff/zxIZYBzgO9AMCeWaUjeIzEBAAAAIADg8QEAAAAgJVBYgIAAADAyiAxAQAAAGBlkJgAAAAAsDJITAAAAABYGSQmAAAAAKzM/wdvw4yPvJRnjQAAAABJRU5ErkJggg==" alt="" />

　　源代码

　　抽象模板角色类

public abstract class Account {
    /**
     * 模板方法，计算利息数额
     * @return    返回利息数额
     */
    public final double calculateInterest(){
        double interestRate = doCalculateInterestRate();
        String accountType = doCalculateAccountType();
        double amount = calculateAmount(accountType);
        return amount * interestRate;
    }
    /**
     * 基本方法留给子类实现
     */
    protected abstract String doCalculateAccountType();
    /**
     * 基本方法留给子类实现
     */
    protected abstract double doCalculateInterestRate();
    /**
     * 基本方法，已经实现
     */
    private double calculateAmount(String accountType){
        /**
         * 省略相关的业务逻辑
         */
        return 7243.00;
    }
}

　　具体模板角色类

public class MoneyMarketAccount extends Account {

    @Override
    protected String doCalculateAccountType() {

        return "Money Market";
    }

    @Override
    protected double doCalculateInterestRate() {

        return 0.045;
    }

}

public class CDAccount extends Account {

    @Override
    protected String doCalculateAccountType() {
        return "Certificate of Deposite";
    }

    @Override
    protected double doCalculateInterestRate() {
        return 0.06;
    }

}

客户端类

public class Client {

    public static void main(String[] args) {
        Account account = new MoneyMarketAccount();
        System.out.println("货币市场账号的利息数额为：" + account.calculateInterest());
        account = new CDAccount();
        System.out.println("定期账号的利息数额为：" + account.calculateInterest());
    }

}

---

模板方法模式在Servlet中的应用

　　使用过Servlet的人都清楚，除了要在web.xml做相应的配置外，还需继承一个叫HttpServlet的抽象类。HttpService类提供了一个service()方法，这个方法调用七个do方法中的一个或几个，完成对客户端调用的响应。这些do方法需要由HttpServlet的具体子类提供，因此这是典型的模板方法模式。下面是service()方法的源代码：

    protected void service(HttpServletRequest req, HttpServletResponse resp)
        throws ServletException, IOException {

        String method = req.getMethod();

        if (method.equals(METHOD_GET)) {
            long lastModified = getLastModified(req);
            if (lastModified == -1) {
                // servlet doesn't support if-modified-since, no reason
                // to go through further expensive logic
                doGet(req, resp);
            } else {
                long ifModifiedSince = req.getDateHeader(HEADER_IFMODSINCE);
                if (ifModifiedSince < (lastModified / 1000 * 1000)) {
                    // If the servlet mod time is later, call doGet()
                    // Round down to the nearest second for a proper compare
                    // A ifModifiedSince of -1 will always be less
                    maybeSetLastModified(resp, lastModified);
                    doGet(req, resp);
                } else {
                    resp.setStatus(HttpServletResponse.SC_NOT_MODIFIED);
                }
            }

        } else if (method.equals(METHOD_HEAD)) {
            long lastModified = getLastModified(req);
            maybeSetLastModified(resp, lastModified);
            doHead(req, resp);

        } else if (method.equals(METHOD_POST)) {
            doPost(req, resp);

        } else if (method.equals(METHOD_PUT)) {
            doPut(req, resp);        

        } else if (method.equals(METHOD_DELETE)) {
            doDelete(req, resp);

        } else if (method.equals(METHOD_OPTIONS)) {
            doOptions(req,resp);

        } else if (method.equals(METHOD_TRACE)) {
            doTrace(req,resp);

        } else {
            //
            // Note that this means NO servlet supports whatever
            // method was requested, anywhere on this server.
            //

            String errMsg = lStrings.getString("http.method_not_implemented");
            Object[] errArgs = new Object[1];
            errArgs[0] = method;
            errMsg = MessageFormat.format(errMsg, errArgs);

            resp.sendError(HttpServletResponse.SC_NOT_IMPLEMENTED, errMsg);
        }
    }

　　当然，这个service()方法也可以被子类置换掉。

　　下面给出一个简单的Servlet例子：

　　　　aaarticlea/png;base64,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" alt="" />

　　从上面的类图可以看出，TestServlet类是HttpServlet类的子类，并且置换掉了父类的两个方法：doGet()和doPost()。

public class TestServlet extends HttpServlet {

    public void doGet(HttpServletRequest request, HttpServletResponse response)
            throws ServletException, IOException {

        System.out.println("using the GET method");

    }

    public void doPost(HttpServletRequest request, HttpServletResponse response)
            throws ServletException, IOException {

        System.out.println("using the POST method");
    }

}

　　从上面的例子可以看出这是一个典型的模板方法模式。

　　HttpServlet担任抽象模板角色

　　　　模板方法：由service()方法担任。

　　　　基本方法：由doPost()、doGet()等方法担任。

　　TestServlet担任具体模板角色

　　　　TestServlet置换掉了父类HttpServlet中七个基本方法中的其中两个，分别是doGet()和doPost()。