JavaWeb程序设计任务教程
1、创建一个SpringBoot的项目;
2、添加依赖如下:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.SpringClound</groupId>
<artifactId>demo</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>
<name>demo</name>
<description>Demo project for Spring Boot</description>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>1.5.2.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-eureka-server</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>Dalston.RC1</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
<repositories>
<repository>
<id>spring-milestones</id>
<name>Spring Milestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
</project>
3、这里我们将整个Web程序设置三层结构的思想, 即Controller,Service,Repository 分别表示前段控制层,服务层(各种复杂业务逻辑的实现),持久层(将数据持久化层),
4、编写前段控制层:
@Controllerpublic class DailyCheckController { @Autowired private IDailyCheckService iDailyCheckService; /** * 日常费用类型 数据校验 * @param assistantRequestParam 日常数据校验参数封装实体 * @return */ @RequestMapping(value = "daily/dataCheck",method = RequestMethod.GET) @ResponseBody public JsonResult dataCheck(AssistantRequestParam assistantRequestParam) { JsonResult jsonResult = new JsonResult(); try{ jsonResult=iDailyCheckService.dataCheck(assistantRequestParam); }catch (Exception e){ e.printStackTrace(); jsonResult.setIsPass("N"); jsonResult.setMsg(e.getMessage()); } return jsonResult; }
}
5、编写业务逻辑层,service:
@Service //dubbo 的service标签@org.springframework.stereotype.Service //Spring 的service标签public class DailyCheckServiceImpl implements IDailyCheckService { //日志 private Logger logger = LoggerFactory.getLogger(DailyCheckServiceImpl.class); @Autowired private ICheckLogService checkLogService; @Autowired private KieContainer kContainer; @Override public JsonResult dataCheck(AssistantRequestParam assistantRequestParam) {
//这里编写你的具体业务逻辑
}
6、编写持久层:
@Mapperpublic interface CheckLogMapper { /** * 添加 校验日志 * @param checkLog * @return */ int save(CheckLog checkLog);}
XML文件中编写对应的SQL语句:
<insert id="save" parameterType="com.deppon.assistant.module.check.shared.domain.CheckLog"> insert into T_FSSC_CLAIM_ONLYOU_CHECK_LOG ( ID, WORKFLOW_NO, WORKFLOW_TYPE_CODE, WORKFLOW_TYPE_NAME, CHARGE_ITEM_CODE, CHARGE_ITEM_NAME, APPLY_EMP_CODE, APPLY_EMP_NAME, APPLY_ORG_CODE, APPLY_ORG_NAME, APPLY_DATE, SOURCE_SYSTEM, COMPANY_CODE, COMPANY_NAME, FINANCE_ORG_CODE, FINANCE_ORG_NAME, REQUEST_DATE, RESULT, MATCH_RULE_CODE, MATCH_RULE_NAME, MATCH_RULE_REMARK, MATCH_RULE_MSG, CREATE_TIME ) values ( sys_guid(), #{workflowNo,jdbcType=VARCHAR}, #{workflowTypeCode,jdbcType=VARCHAR}, #{workflowTypeName,jdbcType=VARCHAR}, #{chargeItemCode,jdbcType=VARCHAR}, #{chargeItemName,jdbcType=VARCHAR}, #{applyEmpCode,jdbcType=VARCHAR}, #{applyEmpName,jdbcType=VARCHAR}, #{applyOrgCode,jdbcType=VARCHAR}, #{applyOrgName,jdbcType=VARCHAR}, #{applyDate,jdbcType=DATE}, #{sourceSystem,jdbcType=VARCHAR}, #{companyCode,jdbcType=VARCHAR}, #{companyName,jdbcType=VARCHAR}, #{financeOrgCode,jdbcType=VARCHAR}, #{financeOrgName,jdbcType=VARCHAR}, #{requestDate,jdbcType=TIMESTAMP}, #{result,jdbcType=VARCHAR}, #{matchRuleCode,jdbcType=VARCHAR}, #{matchRuleName,jdbcType=VARCHAR}, #{matchRuleRemark,jdbcType=VARCHAR}, #{matchRuleMsg,jdbcType=VARCHAR}, sysdate )</insert>
1、因为采用SpringBoot来作为开发框架,在配置文件中配置如下:
#端口server.port=8085#数据库链接spring.datasource.username=rootspring.datasource.password=adminspring.datasource.url=jdbc:oracle:thin:@*********:odsdbspring.datasource.driver-class-name=oracle.jdbc.driver.OracleDriverlogging.config=classpath:logback-spring.xml#spring.datasource.username=root#spring.datasource.password=admin#spring.datasource.url=jdbc:mysql://localhost:3306/demo?useUnicode=true&characterEncoding=utf-8&useSSL=false#spring.datasource.driver-class-name=com.mysql.jdbc.Driver#测试环境配置(dubbo/ZK)spring.dubbo.application.name=fssc-server-assistant#ZK开发测试地址(测试环境)spring.dubbo.registry.address=zookeeper://10.230.44.97:2181?backup=10.230.44.98:2181,10.230.44.99:2181#spring.dubbo.registry.address=zookeeper://127.0.0.1:2181#spring.dubbo.registry.group=assistant-service#dubbo的RPC协议spring.dubbo.protocol.name=dubbo#dubbo的RPC端口(测试环境)spring.dubbo.protocol.port=17601#发布服务的扫描路径spring.dubbo.scan=com.deppon.assistant.module.check.server.service.impl