Mapping Use Case Level Aspects to Object TeamsJava

合集下载

java8-Collectors.mapping+Collectors.reducing+。。。

java8-Collectors.mapping+Collectors.reducing+。

@Testpublic void demo9(){// 求最⼤值 3List<Integer> list = Arrays.asList(1, 2, 3);Integer maxValue = list.stream().collect(Collectors.collectingAndThen(Collectors.maxBy((a, b) -> a - b), Optional::get));System.out.println("最⼤值："+maxValue);// 最⼩值 1Integer minValue = list.stream().collect(Collectors.collectingAndThen(Collectors.minBy((a, b) -> a - b), Optional::get));System.out.println("最⼩值："+minValue);// 求和 6Integer sumValue = list.stream().collect(Collectors.summingInt(item -> item));System.out.println("求和："+sumValue);// 平均值 2.0Double avg = list.stream().collect(Collectors.averagingDouble(x -> x));System.out.println("平均值："+avg);// 映射：先对集合中的元素进⾏映射，然后再对映射的结果使⽤Collectors操作// A,B,CSystem.out.println("⼤写："+Stream.of("a", "b", "c").collect(Collectors.mapping(x -> x.toUpperCase(), Collectors.joining(","))));// sum: 是每次累计计算的结果，b是Function的结果System.out.println("return："+Stream.of(1, 3, 4).collect(Collectors.reducing(0, x -> x + 1, (sum, b) -> {System.out.println("sum："+sum + "->b：" + b);return sum + b;})));// 注意reducing可以⽤于更复杂的累计计算，加减乘除或者更复杂的操作// result = 2 * 4 * 5 = 40System.out.println("return："+Stream.of(1, 3, 4).collect(Collectors.reducing(1, x -> x + 1, (result, b) -> {System.out.println("result："+result + "->b:" + b);return result * b;})));// Collectors.joining(",")的结果是：a,b,c 然后再将结果 x + "d"操作, 最终返回a,b,cdString str= Stream.of("a", "b", "c").collect(Collectors.collectingAndThen(Collectors.joining(","), x -> x + "d"));System.out.println("str: "+str);List<Integer> list1 = Arrays.asList(1, 2, 3);// [10, 20, 30]List<Integer> collect = list1.stream().map(i -> i * 10).collect(Collectors.toList());// [20, 10, 30]Set<Integer> collect1 = list1.stream().map(i -> i * 10).collect(Collectors.toSet());// {key1=value:10, key2=value:20, key3=value:30}Map<String, String> collect2 = list1.stream().map(i -> i * 10).collect(Collectors.toMap(key -> "key" + key/10, value -> "value:" + value));// [1, 3, 4]TreeSet<Integer> collect3= Stream.of(1, 3, 4).collect(Collectors.toCollection(TreeSet::new));System.out.println(collect+"\n"+collect1+"\n"+collect2+"\n"+collect3);}。

log4j2中文手册

Log4j2使用手册一．Log4j2介绍Log4j1.x 被广泛应用于应用程序，但是近年发展明显放缓，因为要维持较老java版本的使用，使得log4j1.x 的发展更困难。

而作为其代替品，slf4j/logback 做出了许多必要改进，为什么还需要log4j2? 主要有以下几个原因: (1)Log4j2被设计用作审计日志框架, log4j 和logback 在重载配置时，都会丢失日志时间，而log4j2不会。

Logback中appenders中的异常对于应用来说是不可见的，log4j2可以配置异常向应用渗透。

(2)Log4j2 包含基于LMAX Disruptor library的下一代无锁Asynchronous Loggers ，在多线程环境下，Asynchronous Loggers 相比slf4j / logback 提高了10倍以上的吞吐量，并且有着更低的延时。

(3)Log4j2的插件机制，使得在不需要修改框架的情况下，通过添加 Appenders, Filters, Layouts, Lookups 轻松扩展框架。

(4)简单的插件配置，无需指定具体类名即可在configuration 中配置插件。

(5)支持自定义日志级别，可以在代码或者configuration 中自定义日志级别。

(6)支持lambda表达式，java8的应用可以在请求日志级别启用时使用lambda表达式懒构建一个日志消息，不需要显示的日志级别检查，使得代码更简洁。

(7)支持消息对象，消息允许支持有趣和复杂的结构，传递到日志记录系统，并且可以高效的操作。

用户可以自由创建消息类型和编写Layouts, Filters and Lookups 来操作这些消息。

(8)Log4j1在Appenders 上支持Filters。

logback增加了TurboFilters，允许在日志事件在处理前进行过滤。

Log4j2可以配置Filters 在Logger后者Appender 前运行。

基于Java的Luncene的compass框架说明使用技术文档

Compass技术文档目录一、原理描述：.................................................................................................................................二、术语解释：.................................................................................................................................三、下载地址：.................................................................................................................................四、使用流程: …………………………………………………………………………………….五、基于SSH的compass的实例: …………………………………………………………………一、原理描述：Compass是一流的开放源码JAVA搜索引擎框架，对于你的应用修饰，搜索引擎语义更具有能力。

依靠顶级的Lucene搜索引擎，Compass 结合了，像Hibernate和Spring的流行的框架，为你的应用提供了从数据模型和数据源同步改变的搜索力.并且添加了2方面的特征,事物管理和快速更新优化.Compass的目标是：把java应用简单集成到搜索引擎中.编码更少，查找数据更便捷.二、术语解释：三、下载地址：四、使用流程:五、基于SSH的compass的实例:step1在ssh2的基础上开发加入jar包（compass-2.1.2.jar compass-index-patch.jarlucene-analyzers-2.4.0.jar lucene-core-2.4.0.jar lucene-highlighter-2.4.0.jar paoding-analysis.jar）step2先来看下实体bean的编写Java代码1.package com.v512.example.model;2.import pass.annotations.*;3./**4. * Product entity.5. *6. * @author MyEclipse Persistence Tools7. */8.@Searchable9.public class Product implements java.io.Serializable {10.11. // Fields13. @SearchableId14. private String id;15. @SearchableProperty(name="name",index=Index.ANALYZED,store=Store.YES)16. private String name;17. @SearchableProperty(name="price",index=Index.NOT_ANALYZED,store=Store.YES)18. private Double price;19. @SearchableProperty(name="brand",index=Index.ANALYZED,store=Store.YES)20. private String brand;21. @SearchableProperty(name="description",index=Index.ANALYZED,store=Store.YES)22. private String description;23.24. // Constructors25.26. /** default constructor */27. public Product() {28. }29.30. /** full constructor */31. public Product(String name, Double price, String brand, String description) {32. = name;33. this.price = price;34. this.brand = brand;35. this.description = description;36. }37.38. // Property accessors39.40. public String getId() {41. return this.id;42. }43.44. public void setId(String id) {45. this.id = id;46. }47.48. public String getName() {49. return ;50. }52. public void setName(String name) {53. = name;54. }55.56. public Double getPrice() {57. return this.price;58. }59.60. public void setPrice(Double price) {61. this.price = price;62. }63.64. public String getBrand() {65. return this.brand;66. }67.68. public void setBrand(String brand) {69. this.brand = brand;70. }71.72. public String getDescription() {73. return this.description;74. }75.76. public void setDescription(String description) {77. this.description = description;78. }79.80.}step3属性文件Product.hbm.xmlJava代码1.<?xml version="1.0" encoding="utf-8"?>2.<!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN"3."/hibernate-mapping-3.0.dtd">4.7.<hibernate-mapping>8. <class name="com.v512.example.model.Product" table="PRODUCT" >9. <id name="id" type="ng.String">10. <column name="ID" length="40" />11. <generator class="uuid.hex" />12. </id>13. <property name="name" type="ng.String">14. <column name="NAME" length="80" />15. </property>16. <property name="price" type="ng.Double">17. <column name="PRICE" precision="6" />18. </property>19. <property name="brand" type="ng.String">20. <column name="BRAND" length="40" />21. </property>22. <property name="description" type="ng.String">23. <column name="DESCRIPTION" length="2000" />24. </property>25. </class>26.</hibernate-mapping>要使用Compass必须加入一个applicationContext-compass.xml文件，文件名可以自行定义这个就不用说了废话step4applicationContext-compass.xml：Java代码1.<?xml version="1.0" encoding="UTF-8"?>2.3.<beans xmlns="/schema/beans"4. xmlns:xsi="/2001/XMLSchema-instance"5. xsi:schemaLocation=" /schema/beans /schema/beans/spring-beans -2.5.xsd"6. default-lazy-init="true">7.8. 9. <bean id="annotationConfiguration"10. class="passAnnotationsConfiguration">11. </bean>12.13.14. <bean id="compass" class="pass.spring.LocalCompassBean">15. 16. <property name="resourceDirectoryLocations">17. <list>18. <value>classpath:com/v512/example/model</value>19. </list>20. </property>21. 22. <property name="connection">23. <value>/lucene/indexes</value>24. </property>25.26. 27. <property name="classMappings">28. <list>29. <value>com.v512.example.model.Product</value>30. </list>31. </property>32. <property name="compassConfiguration"33. ref="annotationConfiguration" />34.35. 36. <property name="compassSettings">37. <props>38. <prop key="compass.transaction.factory">39. pass.spring.transaction.SpringSyncTransactionFactory40. </prop>41. <prop key="compass.engine.analyzer.MMAnalyzer.CustomAnalyzer">net.paoding.analysis.analyzer.PaodingAnalyzer </prop>42. </props>43. </property>44. 45. <property name="transactionManager" ref="transactionManager" />46. </bean>47.48.49. <bean id="hibernateGpsDevice"50. class="pass.gps.device.hibernate.HibernateGpsDevice">51. <property name="name">52. <value>hibernateDevice</value>53. </property>54. <property name="sessionFactory" ref="sessionFactory" />55. <property name="mirrorDataChanges">56. <value>true</value>57. </property>58. </bean>59. 60. <bean id="compassGps" class="pass.gps.impl.SingleCompassGps"61. init-method="start" destroy-method="stop">62. <property name="compass" ref="compass" />63. <property name="gpsDevices">64. <list>65. <bean66. class="pass.spring.device.SpringSyncTransactionGpsDeviceWrapper">67. <property name="gpsDevice" ref="hibernateGpsDevice" />68. </bean>69. </list>70. </property>71. </bean>72.73.74. <bean id="compassTemplate"75. class="passTemplate">76. <property name="compass" ref="compass" />77. </bean>78.79. 80. <bean id="compassIndexBuilder"81. class="passIndexBuilder"82. lazy-init="false">83. <property name="compassGps" ref="compassGps" />84. <property name="buildIndex" value="true" />85. <property name="lazyTime" value="10" />86. </bean>87.88.89.90.</beans>中间都有注解就不多解释了下面来编写dao及dao的实现以及severce层step5Java代码1.package com.v512.example.dao;2.3.import java.util.List;4.5.import com.v512.example.model.Product;6.7.public interface ProductDao {8. public void create(Product p);9. public Product getProduct(String id);10. public List getProducts();11. public void update(Product product);12. public void remove(String id);13.14.}Java代码1.package com.v512.example.dao.hibernate;2.3.import java.util.List;4.5.import com.v512.example.dao.ProductDao;6.import com.v512.example.model.Product;7.import org.springframework.orm.hibernate3.support.HibernateDaoSupport;8.public class ProductDaoHibernate extends HibernateDaoSupport implements ProductDao {9.10. public void create(Product p) {11. getHibernateTemplate().save(p);12.13. }14.15. public Product getProduct(String id) {16. return (Product)getHibernateTemplate().get(Product.class, id);17. }18.19. public List getProducts() {20. return getHibernateTemplate().find("from Product order by id desc");21. }22.23. public void remove(String id) {24. getHibernateTemplate().delete(getProduct(id));25.26. }27.28. public void update(Product product) {29. getHibernateTemplate().saveOrUpdate(product);30.31. }32.33.}serveceJava代码1.package com.v512.example.service;2.3.import java.util.List;4.5.import com.v512.example.model.Product;6.7.public interface ProductManager {8. public void insertProduct(Product p);9. public Product findProdcut(String id);10. public List searchProducts(String queryString);11.12.13.}servece的实现Java代码1.package com.v512.example.service.impl;2.3.import java.util.ArrayList;4.import java.util.List;5.6.import passHits;7.import passSession;8.import passTemplate;9.import passTransaction;10.11.import com.v512.example.dao.ProductDao;12.import com.v512.example.model.Product;13.import com.v512.example.service.ProductManager;14.import pass;15.public class ProductManagerImpl implements ProductManager {16. private ProductDao productDao;17. private CompassTemplate compassTemplate;18.19.20.21.22. public void setCompassTemplate(CompassTemplate compassTemplate){23. passTemplate=compassTemplate;24. }25.26. public void setProductDao(ProductDao productDao){27. this.productDao=productDao;28. }29.30. public Product findProdcut(String id) {31. return productDao.getProduct(id);32. }33.34. public void insertProduct(Product p) {35. productDao.create(p);36. }37.38. public List searchProducts(String queryString) {39. Compass compass = compassTemplate.getCompass();40. CompassSession session=compass.openSession();41. List list = new ArrayList();42. //这里不需要开启事务了，因为在调用这个方法之前就已经开启了事务43. CompassHits hits= session.queryBuilder().queryString("name:"+queryString).toQuery().hits();44. System.out.println("queryString:"+queryString);45. System.out.println("hits:"+hits.getLength());46. for(int i=0;i<hits.length();i++){47. Product hit=(Product)hits.data(i);48. list.add(hit);49. }50.51. return list;52. }53.54.55.56. public CompassTemplate getCompassTemplate() {57. return compassTemplate;58. }59.60.}所有的都做完了现在编写jsp页面step6insertProduct.jspJava代码1.<%@ page language="java" contentType="text/html; charset=UTF-8"2. pageEncoding="UTF-8"%>3.<%@ taglib prefix="s" uri="/struts-tags"%>4.<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN""/TR/html4/loose.dtd">5.<html>6.<head>7.<meta http-equiv="Content-Type" content="text/html; charset=utf-8">8.<link href="style/oa.css" rel="stylesheet" type="text/css"> 9.10.<title>添加信息</title>11.</head>12.<body>13.<center>14. <s:form action="insert.action" theme="simple">15.16.<TABLE class="tableEdit" border="0" cellspacing="1" cellpadding="0" style="width:300px;">17. <TBODY>18. <TR>19. <td align="center" class="tdEditTitle">添加商品名称</TD>20. </TR>21. <TR>22. <td>23.24.25.<table class="tableEdit" style="width:300px;" cellspacing="0" border="0" cellpadding="0">26. <tr>27. <td class="tdEditLabel" >商品名称</td>28. <td class="tdEditContent"><s:textfield name="product.name" label="名称" /></td>29. </tr>30.31. <tr>32. <td class="tdEditLabel" >商品品牌</td>33. <td class="tdEditContent"><s:textfield name="product.brand" label="品牌" /></td>34. </tr>35.36. <tr>37. <td class="tdEditLabel" >商品价格</td>38. <td class="tdEditContent"><s:textfield name="product.price" label="价格" /></td>39. </tr>40.41. <tr>42. <td class="tdEditLabel" >商品描述</td>43. <td class="tdEditContent"><s:textarea name="product.description" label="描述" />44. </td>45. </tr>46. <tr>47. <td> 48. </td>49. <td><s:submit/>50. <br></td>51. </tr>52.</table>53. </td>54. </TR>55. </TBODY>56.</TABLE>57.</s:form>58.</center>59.</body>60.</html>step7编写actionJava代码1.package com.v512.example.action;2.3.import java.util.List;4.5.import com.opensymphony.xwork2.ActionSupport;6.import com.v512.example.model.Product;7.import com.v512.example.service.ProductManager;8.import org.apache.struts2.ServletActionContext;9.10.public class ProductAction extends ActionSupport {11.12. private static final long serialVersionUID = 3795048906805728732L;13. private ProductManager productManager;14. private Product product;15. private String queryString;16.17. public void setQueryString(String queryString){18. this.queryString=queryString;19. }20.21. public Product getProduct() {22. return product;23. }24.25. public void setProduct(Product product) {26. this.product = product;27. }28.29. public void setProductManager(ProductManager productManager){30. this.productManager=productManager;31. }32.33. public String insert(){34. productManager.insertProduct(product);35. return SUCCESS;36. }37. public String search(){38. List results=productManager.searchProducts(queryString);39. System.out.println(results.size());40. ServletActionContext.getRequest().setAttribute("searchresults", results);41. return SUCCESS;42. }43.44.45.}step8关于Struts2的配置文件如下Java代码1.<?xml version="1.0" encoding="UTF-8" ?>2.<!DOCTYPE struts PUBLIC3. "-//Apache Software Foundation//DTD Struts Configuration 2.0//EN"4. "/dtds/struts-2.0.dtd">5.6.<struts>7. <constant name="struts.objectFactory" value="spring" />8.9. <include file="struts-default.xml"/>10.11. <package name="product" extends="struts-default"12. namespace="/product">13.14. <!-- 配置Struts2的Action，class值要与applicationContext*.xml中的id的值一致。

DDD-上下文映射图

DDD-上下⽂映射图
上下⽂映射图-Context Map-包含项⽬的限界上下⽂和他们之间的集成关系。

两种基本的集成关系：上游upstream和下游downstream。

组织模式和集成模式的定义：
合作关系（partnership）：两个限界上下⽂的团队要么⼀起成功，要么⼀起失败，这两个团队就是⼀种合作关系。

共享内核（shared kernel)：共享模型和代码。

客户⽅-供应⽅开发（customer-supplier development）：上下游关系。

遵奉者（conformist）：上下游关系，上游团队没有动⼒提供下游团队所需要的东西。

防腐层（anticorrupttion Layer）（ACL）：某些关系⽆法顺利实施，该层作为上游系统的代理向你的系统提供服务。

开放主机服务（open host service）（OHS）：定义⼀种协议，让你的其他⼦系统通过该协议来访问你的服务。

发布语⾔（published language）（PL）：发布⼀种共享语⾔完成集成交流，通常和开放主机服务⼀起使⽤。

另谋他路（separate way）：声明两个上下⽂不存在任何关系。

⼤泥球（big ball of mud）：混杂在⼀起的模型。

⼜提⼀句：⼦域和限界上下⽂最好保持⼀对⼀的关系。

实践：识别⾃⼰的限界上下⽂，识别出那些不该属于其中的概念，将这些概念放在另⼀个上下⽂中，再在图中标明两个限界上下⽂之间的关系。

Java实现对ES数据的新增，删除，修改，及合并

Java实现对ES数据的新增，删除，修改，及合并Java实现对ES数据的新增，删除，修改，及合并新增数据代码：@Autowiredprivate RestHighLevelClient client;/*** @description ES写⼊数据* @author zae* @date 2022/1/13 14:40* @param index 索引库* @param dataList 数据集合（size为插⼊数据的条数）*/public void insertEsData(String index,List<Map<String,Object>> dataList) {BulkProcessor bulkProcessor = null;try {bulkProcessor = getBulkProcessor(client);for(Map<String,Object> dataMap:dataList){bulkProcessor.add(new IndexRequest(index).source(dataMap));}// 将数据刷新到ES中bulkProcessor.flush();} catch (Exception e) {e.printStackTrace();} finally {try {boolean terminatedFlag = bulkProcessor.awaitClose(150L,TimeUnit.SECONDS);} catch (InterruptedException e) {e.printStackTrace();}}}private BulkProcessor getBulkProcessor(RestHighLevelClient client) {BulkProcessor bulkProcessor = null;try {BulkProcessor.Listener listener = new BulkProcessor.Listener() {@Overridepublic void beforeBulk(long executionId, BulkRequest request) {("Try to insert data number : "+ request.numberOfActions());}@Overridepublic void afterBulk(long executionId, BulkRequest request,BulkResponse response) {("************** Success insert data number : "+ request.numberOfActions() + " , id: " +executionId);}@Overridepublic void afterBulk(long executionId, BulkRequest request,Throwable failure) {logger.error("Bulk is unsuccess : " + failure + ", executionId: " + executionId);}};BiConsumer<BulkRequest, ActionListener<BulkResponse>> bulkConsumer =(request, bulkListener) -> client.bulkAsync(request, RequestOptions.DEFAULT, bulkListener);BulkProcessor.Builder builder = BulkProcessor.builder(bulkConsumer,listener);builder.setBulkActions(5000);//刷新条数builder.setBulkSize(new ByteSizeValue(100L, ByteSizeUnit.MB));// 刷新⼤⼩builder.setConcurrentRequests(10);//并发线程数builder.setFlushInterval(TimeValue.timeValueSeconds(100L));// 时间频率builder.setBackoffPolicy(BackoffPolicy.constantBackoff(TimeValue.timeValueSeconds(1L), 3));//重试补偿策略bulkProcessor = builder.build();} catch (Exception e) {e.printStackTrace();try {bulkProcessor.awaitClose(100L, TimeUnit.SECONDS);} catch (Exception e1) {logger.error(e1.getMessage());}}return bulkProcessor;}注意点：传⼊数据中的List中的每个Map为⼀条数据，Map中的key为字段Field，value为值。

JAVA编程术语英语翻译

**********************<JA V A编程术语英语翻译>**********************abstract 抽象的抽象的abstraction 抽象体、抽象物、抽象性抽象体、抽象物、抽象性access 存取、取用存取、访问access level 存取级别访问级别access function 存取函式访问函数activate 活化激活active 作用中的adapter 配接器适配器address 位址地址address space 位址空间，定址空间address－of operator 取址运算子取地址操作符aggregation 聚合algorithm 演算法算法allocate 配置分配allocator （空间）配置器分配器application 应用程式应用、应用程序application framework 应用程式框架、应用框架应用程序框架architecture 架构、系统架构体系结构argument 引数（传给函式的值）。

叁见parameter 叁数、实质叁数、实叁、自变量array 阵列数组arrow operator arrow（箭头）运算子箭头操作符assembly 装配件assembly language 组合语言汇编语言assert(ion) 断言assign 指派、指定、设值、赋值赋值assignment 指派、指定赋值、分配assignment operator 指派（赋值）运算子= 赋值操作符associated 相应的、相关的相关的、关联、相应的associative container 关联式容器（对应sequential container）关联式容器atomic 不可分割的原子的attribute 属性属性、特性audio 音讯音频A.I. 人工智慧人工智能background 背景背景（用於图形着色）後台（用於行程）backward compatible 回溯相容向下兼容bandwidth 频宽带宽base class 基础类别基类base type 基础型别(等同於base class)batch 批次（意思是整批作业）批处理benefit 利益收益best viable function 最佳可行函式最佳可行函式（从viable functions 中挑出的最佳吻合者）binary search 二分搜寻法二分查找binary tree 二元树二叉树binary function 二元函式双叁函数binary operator 二元运算子二元操作符binding 系结绑定bit 位元位bit field 位元栏位域bitmap 位元图位图bitwise 以bit 为单元逐一┅bitwise copy 以bit 为单元进行复制；位元逐一复制位拷贝block 区块,区段块、区块、语句块boolean 布林值（真假值，true 或false）布尔值border 边框、框线边框brace(curly brace) 大括弧、大括号花括弧、花括号bracket(square brakcet) 中括弧、中括号方括弧、方括号breakpoint 中断点断点build 建造、构筑、建置（MS 用语）build－in 内建内置bus 汇流排总线business 商务,业务业务buttons 按钮按钮byte 位元组（由8 bits 组成）字节cache 快取高速缓存call 呼叫、叫用调用callback 回呼回调call operator call（函式呼叫）运算子调用操作符（同function call operator）candidate function 候选函式候选函数（在函式多载决议程序中出现的候选函式）chain 串链（例chain of function calls）链character 字元字符check box 核取方块(i.e. check button) 复选框checked exception 可控式异常(Java)check button 方钮(i.e. check box) 复选按钮child class 子类别（或称为derived class, subtype）子类class 类别类class body 类别本体类体class declaration 类别宣告、类别宣告式类声明class definition 类别定义、类别定义式类定义class derivation list 类别衍化列类继承列表class head 类别表头类头class hierarchy 类别继承体系, 类别阶层类层次体系class library 类别程式库、类别库类库class template 类别模板、类别范本类模板class template partial specializations类别模板偏特化类模板部分特化class template specializations类别模板特化类模板特化cleanup 清理、善後清理、清除client 客端、客户端、客户客户client－server 主从架构客户/服务器clipboard 剪贴簿剪贴板clone 复制克隆collection 群集集合combo box 复合方块、复合框组合框command line 命令列命令行(系统文字模式下的整行执行命令)communication 通讯通讯compatible 相容兼容compile time 编译期编译期、编译时compiler 编译器编译器component 组件组件composition 复合、合成、组合组合computer 电脑、计算机计算机、电脑concept 概念概念concrete 具象的实在的concurrent 并行并发configuration 组态配置connection 连接，连线（网络,资料库）连接constraint 约束（条件）construct 构件构件container 容器容器（存放资料的某种结构如list, vector...）containment 内含包容context 背景关系、周遭环境、上下脉络环境、上下文control 控制元件、控件控件console 主控台控制台const 常数（constant 的缩写，C++ 关键字）constant 常数（相对於variable）常量constructor（ctor）建构式构造函数（与class 同名的一种member functions）copy (v) 复制、拷贝拷贝copy (n) 复件, 副本cover 涵盖覆盖create 创建、建立、产生、生成创建creation 产生、生成创建cursor 游标光标custom 订制、自定定制data 资料数据database 资料库数据库database schema 数据库结构纲目data member 资料成员、成员变数数据成员、成员变量data structure 资料结构数据结构datagram 资料元数据报文dead lock 死结死锁debug 除错调试debugger 除错器调试器declaration 宣告、宣告式声明deduction 推导（例：template argument deduction）推导、推断default 预设缺省、默认defer 延缓推迟define 定义预定义definition 定义、定义区、定义式定义delegate 委派、委托、委任委托delegation （同上）demarshal 反编列散集dereference 提领（取出指标所指物体的内容）解叁考dereference operator dereference（提领）运算子* 解叁考操作符derived class 衍生类别派生类design by contract 契约式设计design pattern 设计范式、设计样式设计模式※最近我比较喜欢「设计范式」一词destroy 摧毁、销毁destructor 解构式析构函数device 装置、设备设备dialog 对话窗、对话盒对话框directive 指令（例：using directive）(编译)指示符directory 目录目录disk 碟盘dispatch 分派分派distributed computing 分布式计算(分布式电算) 分布式计算分散式计算(分散式电算)document 文件文档dot operator dot（句点）运算子. (圆)点操作符driver 驱动程式驱动（程序）dynamic binding 动态系结动态绑定efficiency 效率效率efficient 高效高效end user 终端用户entity 物体实体、物体encapsulation 封装封装enclosing class 外围类别（与巢状类别nested class 有关）外围类enum (enumeration) 列举（一种C++ 资料型别）枚举enumerators 列举元（enum 型别中的成员）枚举成员、枚举器equal 相等相等equality 相等性相等性equality operator equality（等号）运算子== 等号操作符equivalence 等价性、等同性、对等性等价性equivalent 等价、等同、对等等价escape code 转义码转义码evaluate 评估、求值、核定评估event 事件事件event driven 事件驱动的事件驱动的exception 异常情况异常exception declaration 异常宣告（ref. C++ Primer 3/e, 11.3）异常声明exception handling 异常处理、异常处理机制异常处理、异常处理机制exception specification 异常规格（ref. C++ Primer 3/e, 11.4）异常规范exit 退离（指离开函式时的那一个执行点）退出explicit 明白的、明显的、显式显式export 汇出引出、导出expression 运算式、算式表达式facility 设施、设备设施、设备feature 特性field 栏位,资料栏（Java）字段, 值域（Java）file 档案文件firmware 韧体固件flag 旗标标记flash memory 快闪记忆体闪存flexibility 弹性灵活性flush 清理、扫清刷新font 字型字体form 表单（programming 用语）窗体formal parameter 形式叁数形式叁数forward declaration 前置宣告前置声明forwarding 转呼叫,转发转发forwarding function 转呼叫函式,转发函式转发函数fractal 碎形分形framework 框架框架full specialization 全特化（ref. partial specialization）function 函式、函数函数function call operator 同call operatorfunction object 函式物件（ref. C++ Primer 3/e, 12.3）函数对象function overloaded resolution函式多载决议程序函数重载解决（方案）functionality 功能、机能功能function template 函式模板、函式范本函数模板functor 仿函式仿函式、函子game 游戏游戏generate 生成generic 泛型、一般化的一般化的、通用的、泛化generic algorithm 泛型演算法通用算法getter (相对於setter) 取值函式global 全域的（对应於local）全局的global object 全域物件全局对象global scope resolution operator全域生存空间（范围决议）运算子:: 全局范围解析操作符group 群组group box 群组方块分组框guard clause 卫述句(Refactoring, p250) 卫语句GUI 图形介面图形界面hand shaking 握手协商handle 识别码、识别号、号码牌、权柄句柄handler 处理常式处理函数hard－coded 编死的硬编码的hard－copy 硬拷图屏幕截图hard disk 硬碟硬盘hardware 硬体硬件hash table 杂凑表哈希表、散列表header file 表头档、标头档头文件heap 堆积堆hierarchy 阶层体系层次结构（体系）hook 挂钩钩子hyperlink 超链结超链接icon 图示、图标图标IDE 整合开发环境集成开发环境identifier 识别字、识别符号标识符if and only if 若且唯若当且仅当Illinois 伊利诺伊利诺斯image 影像图象immediate base 直接的（紧临的）上层base class。

面向对象技术UML教程课后试题

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java中match的用法

java中match的用法在Java中，`match`是一个关键字，用于实现模式匹配（或称为模式匹配表达式）。

它是从Java 16版本开始引入的，主要用于简化条件分支语句的编写，并提高代码的可读性和可维护性。

本文将详细介绍`match`的用法，包括语法、功能、示例以及一些注意事项。

##语法`match`表达式由`switch`语句和`case`语句组成，使用`->`箭头将`case`语句与对应的执行语句块进行分隔。

一般的语法形式如下：```value matchcase pattern1 ->//执行语句块1}case pattern2 ->//执行语句块2}case pattern3 ->//执行语句块3}...```在`match`表达式中，`value`是待匹配的值，可以是任意类型。

而`pattern1`、`pattern2`、`pattern3`等是与`value`进行匹配的模式，可以是常量、变量、类型等。

当`value`与一些模式匹配成功时，将执行对应的执行语句块。

##功能`match`表达式相比传统的`switch`语句具有以下优势：1. 支持更丰富的模式匹配：`match`表达式支持更多种类的模式匹配方式，如常量匹配、类型匹配、变量匹配等，可以更灵活地处理不同情况下的逻辑。

2.编译时安全性：编译器可以在编译时检查模式是否完备，避免了常见的错误，如遗漏一些情况的处理或多次处理同一情况。

3. 可读性和可维护性：`match`表达式的语法结构更加简洁，通过模式匹配的方式能够更清晰地表达逻辑，使代码更易读、易理解和易维护。

##示例下面通过几个示例来演示`match`的用法：###示例1：数字匹配```javaint num = 5;String result = switch (num)case 1 -> "一";case 2 -> "二";case 3 -> "三";default -> "其他";};```在这个示例中，根据`num`的值进行匹配，如果`num`的值等于1，则将`result`设置为"一"；如果`num`的值等于2，则将`result`设置为"二"；如果`num`的值等于3，则将`result`设置为"三"；否则将`result`设置为"其他"。

java objectdifferbuilder类使用实例

java objectdifferbuilder类使用实例"Java ObjectDifferBuilder类使用实例""Java ObjectDifferBuilder类使用实例"是一篇将指导读者了解Java中的ObjectDifferBuilder类并进行实际使用的技术文章。

本文将详细解释如何使用ObjectDifferBuilder类，在每个步骤中提供清晰的回答，并于1500-2000字让读者更好地理解和掌握这个主题。

第一步：引入所需的依赖项在开始使用ObjectDifferBuilder类之前，我们需要在我们的Java项目中导入所需的依赖项。

ObjectDifferBuilder类是由java-object-diff库提供的，因此我们需要在项目的构建文件中添加以下依赖项：xml<dependency><groupId>com.github.java-diff-utils</groupId><artifactId>java-object-diff</artifactId><version>2.0.0</version></dependency>在导入依赖项后，我们就可以开始使用ObjectDifferBuilder类了。

第二步：创建对象示例在使用ObjectDifferBuilder类之前，我们需要创建要比较的两个对象的示例。

让我们假设我们正在开发一个电子商务网站，我们有一个Product 类来表示商品。

我们将创建两个Product对象，然后使用ObjectDifferBuilder类来比较它们之间的差异。

下面是一个示例Product类的定义：javapublic class Product {private String name;private double price;constructor, getters, and setters}我们将创建两个Product对象的示例：javaProduct product1 = new Product("iPhone X", 999.99);Product product2 = new Product("iPhone 11", 1099.99);第三步：创建ObjectDifferBuilder实例我们将使用ObjectDifferBuilder类来创建一个比较器，比较两个Product 对象之间的差异。

IDEMIA Augmented Vision Platform 产品说明书

Augmented Vision PlatformVideo analytics to ensure a safer environmentColor filterSilhouettesVehicle classificationPartial biometricsLicense plate recognitionDetect and identify a person ofinterestDetect and warn of an intrusion Detectsuspiciousobjects andalertDetect andrecognize a personand identify clothesusing a color filterSecureaccess forauthorizedpersonnelSpeed uppost-eventinvestigations3Instant facial recognition forfrictionless access controlThe solution identifies end-usersvia a standard IP camera. The identification result is pushed to the access co ntro l so ftware toauthorize access.Post-event video analyticsIDEMIA’s video analytics to ls and algo rithms help investigato rs find and qualify inf o rmati o n fro m video so urces faster using automated technology.Video analysis at the point of captureThis video pro cessing so lutio n is built o n the wo rld’s leading embedded Artificial Intelligence Edge computing platform.Live video analyticsThis s o luti o n m o nit o rs CCTV cameras and alerts security staff if necessary. The identificatio n o f perso ns o f interest is based o n bio metric and n o n-bi o metric attributes (face, silho uettes, vehicles and objects of interest).Today there is an immense volume of videos and images due to the prevalence of CCTV streams, smartphones and more. Augmented Vision can protect areas of interest live.It can be used to prevent security incidents in highly frequented public or private spaces but also to ensure frictionless access to restricted a rea s for a uthorized personnel, while protecting citizens’ privacy with the highest level of data protection.Augmented Vision analyzes hours and days of video streams and thousands of photos to help find subjects and objects of interest in post-event investigations. Augmented Vision is designed to make sense of all available video and image data, allowing operators to quickly create leads to solve crimes.Augmented Vision boosts results, saves time and increases securityOurcustomersGovernment/Public sectorAirports and public transporationCorporate & CommercialStadiums and arenasGaming and entertainment4When investigating a suspect you need to leverage all sources, including processing and analyzing a large variety and quantity of video and image formats.O nce Augmented Vision has been fed the video and image data, it recognizes, records, and classifies persons and objects of interest such as silhouettes, faces, vehicles and license plates. This automatically improves suspect traceability and enhances associations that were previously unknown.Boostingthe efficiency of operators using videoanalytics5Solve a case fasterWith Augmented Vision, you do not have to spend endless hours watching video footage or looking at images. This cutting-edge tool identifies normal background noise in a scene and detects, extracts and classifies pedestrians, faces, vehicles and license plates, identifying potential clues faster and more effectively.As a result, you maximize resources to obtain actionable intelligence faster.Allocate your resources betterPreviously, it would have taken multiple people and weeks of work to view 500 hours of video footage to study half a million faces. Augmented Vision can complete this in almost a day on a small workstation system with one single officer.6Transforming video protection into actionable intelligenceIn highly frequented public or private spaces, the use of CCTV cameras can help spot potential threats, preventing situations from escalating and ultimately keeping people safe. However, it is not always easy to understand the complexity of many CCTV streams simultaneously collected over many hours. Determining your key persons of interest (POI) is important, but how do you survey everything at the same time to make sense of momentary events?Augmented Vision is the answer. It performs live monitoring across thousands of CCTV cameras, differentiating between individuals based on biometric and non-biometric features to identify potential POI and automatically alert security staff upon a match. This allows officers more time to follow up on actionable intelligence, rather than reviewing endless video streams.Identifying high-risk andvulnerable individualsAlerting officers about targeted events of interestFollowing POI acrossmultiple cameraIdentifying license pla tes, fa ces, silhouettes and moreExamples ofevents analytics:• Intrusion detection • People counting • Mask detection • License plate• Vehicle identification • Soft biometric data: gender and ageNO MASK Detected7 Providing secureand frictionless accessto authorized personnelT he Augmented Vision Platform can be easilyintegrated with any existing access controlsoftware, leveraging IP cameras to manage access facilities. Facial data is pushed either from server to server or from server to door controller, allowing Augmented Vision to fit all ecosystems.This technology can easily identify visitors and collaborators at a distance, creating a seamless biometric identif ication experience. IDEMIA’s advanced algorithms, enable in-motion recognition while ensuring the highest accuracy. Using facial recognition means that no direct contact is needed with the equipment, a hygienic alternative to other systems available on the market.The strength of the solution resides in its ability to analyze the entire situation around access points. It is capable of enabling group access and detecting suspicious behaviors. It increases security by spotting attempts at tailgating and then locking a door when an unauthorized personis identified in the field of view.8Augmented Vision comprises of a processing solution built on the NVIDIA Jetson (Embedded ARM64 Device + GPU and SoC).With this in mind, Augmented Vision gives you the flexibility of small deployments for covert investigations and for distributed solutions where infrastructure is sparse and communications are limited.With the software and hardware all in one very small package, the Edge Embedded appliance is a high-performance, low-power computing device, optimized for IDEMIA’s next generation video analytics and computer vision solutions.Augmented Vision can be used as a standalone or as a hybrid solution and is therefore compatible with all existing cameras. It can be installed rapidly for quick and easy deployment.The Edge Embedded solution supports diverse operations – from multiple cameras and high person throughput to single camera deployments and covert or isolated applications.Leading embedded Artificial IntelligenceEdge computing9 from a CCTV camera’s field of view (an image or recordedvideo), live and/or post-event. Data is then converted intomathematical models and analyzed with respect to known objecttypes e.g. faces, people, vehicles, license plates etc. and compared(where applicable) to a client’s database. The results of this analysisare presented to the operator in various dashboards.Processingservers (distributed architecture)Cloud or on premises10Designed for CCTVs Our solution is designed to augment the capabilities of standard CCTV systems Pedestrian detectionDetection and recognition ofperson and top/bottom colorfilterScalabilitySystem-wide scalability ofthe solution for enterpriseperformanceHybrid deploymentsCloud, on premises hardwareand Edge technologiesworking togetherGeo-trackingand mappingLocalization and positioningof cameras and POI acrossmapsVehicles detectionDetection, classificationand identification of multiplevehicle typesProprietary neuralnetworksIDEMIA’s neural networksare developed and trainedin-houseParallel processingSystem-wide parallelprocessing for faster analysisof dataVersatileplug-in abilityThird party low levelalgorithm plug-in for fastintegrationColor filterPOI and object filtering forcolorsEvent prioritizationAnalytics processing starts atany point in time processingoutwardObject linking Automatic and manual associations for faster case managementEmbeddedBuilt upon world leading AI Edge computing platformNVIDIA JetsonCollaboration Enables local and remote teams to work together on a single case or across multiple casesFacial recognitionNIST tested, high quality facedetection and recognitionMeta-taggingAutomatic and customizabletagging of POI data creatingsearchable TAGsEvent analyticsIntrusion detection alertsMask detection alertsPerson detectionsPeople coutingLicense platerecognitionDetection and recognitionof license plates includingpartial plates0.1%False alerts per day5 billionBiometric recordsmanaged worldwideNISTTop ranked acrossmultiple biometricsWith over 40 years’ experience and more than five billion biometric records managed worldwide, IDEMIA is the undisputed leader in biometric security systems. O ur algorithms – consistently top-ranked by NIST – and sensor technologies, combined with our end-product design and manufacturing expertise, make us the partner of choice for the most prestigious organizations.We create off-the-shelf and tailor-made solutions to meet the complex and ever-changing demands of our customers. We collaborate with the world’s leading law enforcement agencies and provide the most advanced tools and guidance available on the market. We supply companies around the globe with secure access control using biometric technology as well as solutions to facilitate their day-to-day activities, bringing more security and peace of mind.We develop products a nd solutions in a ccorda nce with the Priva cy-by-Design and Privacy-by-Default principles. We are strongly committed to helping protect and secure citizens’ privacy with the highest possible level of data protection for identity verification and authentication technologies.Our goal is to keep the world as safe and secure as possible.Why is IDEMIA the ideal partner for you?Our products AUGMENT your VISION of video data00 0 00 All rights reserved. Specifications and information subject to change without notice. The products described in this document are subject to continuous development and improvement. All trademarks and service marks referred to herein, whether registered or not in specific countries, are the property of their respective owners.。

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MappingUseCaseLevelAspectstoObjectTeams/JavaStephanHerrmann∗ChristineHundt∗KatharinaMehner∗

TechnicalUniversityBerlin

{stephan,resix,mehner}@cs.tu-berlin.de

ABSTRACTAspect-OrientedSoftwareDevelopmentaimsatsupportingseparationofcrosscuttingconcernsthroughoutthefullsoft-warelifecycle.Inthiscontributionwefocusonlifecyclesup-portforcrosscuttingconcernswithinternalstructureandcomplexbehaviour.Inordertomaketransitionsbetweenphasesmoreseamless,supportforsuchconcernsisneededinallphases.InthepasttheprogramminglanguageOb-jectTeams/Javahasbeendevelopedwhichsupportsencap-sulationofrole-basedcollaborationsandthereforeisasuit-abletargetplatformforcomplexcrosscuttingconcerns.Wedemonstratehowtodeveloprequirements,analysis,andde-signmodelsforthistargetlanguage.

1.INTRODUCTIONAspect-orientedsoftwaredevelopment(AOSD)aimstosup-porttheseparationofconcernswhichwouldbecrosscuttingwithrespecttopureobject-orientedmodularisationstruc-tures.Asanextensionofobject-orientationAOSDprovidesnewstructuringconstructstoavoidtanglingofunrelatedconcernsandtopreventscatteringofoneconcernoversev-erallocations.Theseadvancedmodularisationtechniquesallowforencapsulationofconcernsinsocalledaspects.

ThemajorityofexistingAOSDapproachesmainlyaddresstheimplementationofaspectsbyfocusingonaspect-orientedprogramminglanguages.Asconcernsemergealreadyintheearlierphasesofthedevelopmentprocess,itisdesirabletoprovideaspectsinrequirementsmodeling,analysisandde-signaswell.

Inwell-knownaspect-orientedprogramminglanguages,suchasAspectJ[9],aspectstendtosuﬀerfromsomerestric-tionswhencomparingtoregularclasses.Theserestrictionsmainlyaﬀecttheabilitytoinstantiate(andactivate)aspectsprogrammaticallyandlimitationstotheuseofinheritanceandpolymorphism.Thus,aspectsarenotfull-blownﬁrstclassprogrammingentities.Toprovideﬂexibleinstantia-tionandactivationofaspectsandtoprovideencapsulationandspecialisationofcollaboratingaspectswehavedevel-opedtheprogramminglanguageObjectTeams/Java[7,11].ThislanguagedecoratesJavaclasseswithroleswhichservetoimplementpotentiallycrosscuttingconcerns.Rolebe-haviourisintrinsicallyboundtoclassbehaviourbyinter-ceptingmethodcallstoJavaobjectsandbyforwardingrole

∗ThisworkhasbeensupportedbytheGermanFederalMin-

istryforEducationandResearchunderthegrant01ISC04A(ProjectTOPPrax).instancemethodstoobjects.Acollaborationofrolesisen-capsulatedinapackage-likestructurecalledteam,whichalsohasallpropertiesofaclass.SincetheObjectTeams/Javalanguagehasmaturedandsincewearestartingtouseitinanon-academiccontext[17]wearenowaimingatfulllifecyclesupport.Inthisvein,ourﬁrststephasbeentoprovidedesignsupportbymeansofanextensiontoUMLclassdiagramscalledUMLforAspects(UFA)whichallowsthemodelingoftheObjectTeams/Javarelevantfeatures[6].Also,anextensiontoUMLsequencediagramshasbeendevelopedwhichshowsroleandclassin-teractions[3].WhilerecentpublicationsprovideconsiderableadvancesofAOSDtowardsearlierphasesofthesoftwarelifecycle[12,13],westillseetwoissuesthatneedtobeaddressedforfulllifecyclesupportforaspects.1.Seamlessnessrequiresthatisolatedproposalsforas-pectorientedmodelingareintegratedintoacontinu-ousmethod.2.Relevantusecasesmayneedreﬁnementinlaterphasesyieldingstructuredsub-models.Whensomeusecasesareidentiﬁedasaspectsamodelofaspectsisneededthatspeciﬁcallysupportsstructuralandbehaviouralreﬁnement.Regardingtheﬁrstissue,inthispaperwesketchatransitionfromanaspect-orientedusecasemodeltowardsanaspect-orienteddesign,whichseemstobethemajorremaininggapinthelife-cycle.Whenprojectingtypicalnon-functionalaspectstotheanal-ysislevel,someoftheseaspectsshrinktoasinglesentencelike:“ObjectsofclassFooarepersistent”,whichcaneasilybemodeledbyataggedvalueintheUMLmodel,requiringnofurthermodelingsupport.Complexityofsuchconcernsisintroducedonlyduringlaterphases.Identifyingusecasesasaspectsmainlyrevealsthoseaspectsthatbearmorein-ternalcomplexity,likeworkﬂowsorcollaborationsofsev-eralcommunicatingentities.ObjectTeams/Javaspeciﬁcallysupportssuchcollaborations,whichiswhywebelievethatithasthepotentialforthedesiredfull-lifecycleseamlessness.Thispaperreviewssomerecentworkregardingusecasesandaspectsinsection2.1.Weoutlineourprocessinsection2.2.

1Section3illustratestherequirementselicitationofanaspectandthemappingintoadesignforObjectTeams/Javausingasimpleexample.WediscussemerginglifecyclesupportforAOSDinsection4andconcludeinsection5.

2.AUSECASEDRIVENAPPROACH2.1BackgroundDiﬀerentapproacheshavebeenproposedtomodelcrosscut-tingconcernsontheusecaselevel.