SpringMVC_CRM系统_配置数据库2
2017-10-15 本文已影响0人
大鹏_xzlp
数据库结构和建表语句我放在文章末尾了，下面我们开始配置数据库
- 在resources目录下新建 db.properties
jdbc.jdbcUrl=jdbc:mysql://localhost:3306/springmvc_crm
jdbc.driverClass=com.mysql.jdbc.Driver
jdbc.user=root
jdbc.password=123456
2.在resources目录下新建 SqlMappingConfig.xml文件,配置Mybatis的映射
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE configuration
PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-config.dtd">
<configuration>
<!-- 包的别名 -->
<typeAliases>
<package name="com.spring.crm.pojo"/>
</typeAliases>
<!-- 将xml和dao接口使用相同的名字，放到同一目录下 -->
<mappers>
<package name="com.spring.crm.dao"></package>
</mappers>
</configuration>
- 新建一个applicationContext-dao.xml 存放数据库配置
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context" xmlns:tx="http://www.springframework.org/schema/tx"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd">
<context:property-placeholder location="classpath:db.properties"/>
<!-- 事务核心管理器，封装了所有实务操作 -->
<bean name="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
<property name="dataSource" ref="dataSource"/>
</bean>
<tx:annotation-driven transaction-manager="transactionManager"></tx:annotation-driven>
<!-- 1.将连接池放入spring容器-->
<bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource"
destroy-method="close">
<property name="driverClassName" value="${jdbc.driverClass}" />
<property name="url" value="${jdbc.jdbcUrl}" />
<property name="username" value="${jdbc.user}" />
<property name="password" value="${jdbc.password}" />
<property name="maxActive" value="10" />
<property name="maxIdle" value="5" />
</bean>
<!-- MyBatis工厂-->
<bean id="sqlSessionFactoryBean" class="org.mybatis.spring.SqlSessionFactoryBean">
<property name="dataSource" ref="dataSource"/>
<property name="configLocation" value="classpath:SqlMappingConfig.xml"/>
</bean>
<!-- Mapper动态代理开发增强版扫描-->
<bean id="mapperScannerConfigurer" class="org.mybatis.spring.mapper.MapperScannerConfigurer">
<property name="basePackage" value="com.spring.crm.dao"/>
</bean>
</beans>
- 我们在pojo包下新建一个BaseDict，内部字段和数据库保持一致
package com.spring.crm.pojo;
public class BaseDict {
private String dict_id;
private String dict_type_code;
private String dict_type_name;
private String dict_item_name;
private String dict_item_code;
private Integer dict_sort;
private String dict_enable;
private String dict_memo;
public String getDict_id() {
return dict_id;
}
public void setDict_id(String dict_id) {
this.dict_id = dict_id;
}
public String getDict_type_code() {
return dict_type_code;
}
public void setDict_type_code(String dict_type_code) {
this.dict_type_code = dict_type_code;
}
public String getDict_type_name() {
return dict_type_name;
}
public void setDict_type_name(String dict_type_name) {
this.dict_type_name = dict_type_name;
}
public String getDict_item_name() {
return dict_item_name;
}
public void setDict_item_name(String dict_item_name) {
this.dict_item_name = dict_item_name;
}
public String getDict_item_code() {
return dict_item_code;
}
public void setDict_item_code(String dict_item_code) {
this.dict_item_code = dict_item_code;
}
public Integer getDict_sort() {
return dict_sort;
}
public void setDict_sort(Integer dict_sort) {
this.dict_sort = dict_sort;
}
public String getDict_enable() {
return dict_enable;
}
public void setDict_enable(String dict_enable) {
this.dict_enable = dict_enable;
}
public String getDict_memo() {
return dict_memo;
}
public void setDict_memo(String dict_memo) {
this.dict_memo = dict_memo;
}
}
- 在dao包下新建BaseDictDao.java
package com.spring.crm.dao;
import com.spring.crm.pojo.BaseDict;
import java.util.List;
@Repository
public interface BaseDictDao {
/**
* 根据类别代码查询数据
*
* @param dictTypeCode
* @return
*/
List<BaseDict> queryBaseDictByDictTypeCode(String dictTypeCode);
}
- 同目录下新建BaseDictDao.xml 配置查询语句,这里要特别注意namespace不要配置错了
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper
PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.spring.crm.dao.BaseDictDao">
<select id="queryBaseDictByDictTypeCode" parameterType="String" resultType="BaseDict">
SELECT * FROM base_dict WHERE dict_type_code =
#{dict_type_code}
</select>
</mapper>
- 为了解析json数据，我们引用json解析的配置，在applicationContext.xml中添加以下代码
<mvc:annotation-driven>
<mvc:message-converters>
<bean class="org.springframework.http.converter.StringHttpMessageConverter">
<property name = "supportedMediaTypes">
<list>
<value>text/html;charset=UTF-8</value>
<value>application/json;charset=UTF-8</value>
</list>
</property>
</bean>
<!-- json转换器 -->
<bean class="org.springframework.http.converter.json.MappingJackson2HttpMessageConverter">
<property name="supportedMediaTypes">
<list>
<value>text/html;charset=UTF-8</value>
<value>application/json;charset=UTF-8</value>
</list>
</property>
</bean>
</mvc:message-converters>
</mvc:annotation-driven>
- 测试
@Controller
public class MainController {
@Autowired
BaseDictDao baseDictDao;
@RequestMapping("/index")
@ResponseBody
public String index(){
return "index";
}
@RequestMapping("/queryById/{dictTypeCode}")
@ResponseBody
List<BaseDict> queryBaseDictByDictTypeCode(@PathVariable String dictTypeCode){
List<BaseDict> list = baseDictDao.queryBaseDictByDictTypeCode(dictTypeCode);
System.out.println(list);
return list;
}
}
- 访问
http://localhost:8080/queryById/001,页面显示
总结
数据库配置完毕，接下来我们开始进入配置页面了。
本系列源码存放在github上 源码
附件：数据库建表语句
SET FOREIGN_KEY_CHECKS=0;
-- ----------------------------
-- Table structure for base_dict
-- ----------------------------
DROP TABLE IF EXISTS `base_dict`;
CREATE TABLE `base_dict` (
`dict_id` varchar(32) NOT NULL COMMENT '数据字典id(主键)',
`dict_type_code` varchar(10) NOT NULL COMMENT '数据字典类别代码',
`dict_type_name` varchar(64) NOT NULL COMMENT '数据字典类别名称',
`dict_item_name` varchar(64) NOT NULL COMMENT '数据字典项目名称',
`dict_item_code` varchar(10) DEFAULT NULL COMMENT '数据字典项目代码(可为空)',
`dict_sort` int(10) DEFAULT NULL COMMENT '排序字段',
`dict_enable` char(1) NOT NULL COMMENT '1:使用 0:停用',
`dict_memo` varchar(64) DEFAULT NULL COMMENT '备注',
PRIMARY KEY (`dict_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of base_dict
-- ----------------------------
INSERT INTO `base_dict` VALUES ('1', '001', '客户行业', '教育培训 ', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('10', '003', '公司性质', '民企', null, '3', '1', null);
INSERT INTO `base_dict` VALUES ('12', '004', '年营业额', '1-10万', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('13', '004', '年营业额', '10-20万', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('14', '004', '年营业额', '20-50万', null, '3', '1', null);
INSERT INTO `base_dict` VALUES ('15', '004', '年营业额', '50-100万', null, '4', '1', null);
INSERT INTO `base_dict` VALUES ('16', '004', '年营业额', '100-500万', null, '5', '1', null);
INSERT INTO `base_dict` VALUES ('17', '004', '年营业额', '500-1000万', null, '6', '1', null);
INSERT INTO `base_dict` VALUES ('18', '005', '客户状态', '基础客户', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('19', '005', '客户状态', '潜在客户', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('2', '001', '客户行业', '电子商务', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('20', '005', '客户状态', '成功客户', null, '3', '1', null);
INSERT INTO `base_dict` VALUES ('21', '005', '客户状态', '无效客户', null, '4', '1', null);
INSERT INTO `base_dict` VALUES ('22', '006', '客户级别', '普通客户', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('23', '006', '客户级别', 'VIP客户', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('24', '007', '商机状态', '意向客户', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('25', '007', '商机状态', '初步沟通', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('26', '007', '商机状态', '深度沟通', null, '3', '1', null);
INSERT INTO `base_dict` VALUES ('27', '007', '商机状态', '签订合同', null, '4', '1', null);
INSERT INTO `base_dict` VALUES ('3', '001', '客户行业', '对外贸易', null, '3', '1', null);
INSERT INTO `base_dict` VALUES ('30', '008', '商机类型', '新业务', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('31', '008', '商机类型', '现有业务', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('32', '009', '商机来源', '电话营销', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('33', '009', '商机来源', '网络营销', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('34', '009', '商机来源', '推广活动', null, '3', '1', null);
INSERT INTO `base_dict` VALUES ('4', '001', '客户行业', '酒店旅游', null, '4', '1', null);
INSERT INTO `base_dict` VALUES ('5', '001', '客户行业', '房地产', null, '5', '1', null);
INSERT INTO `base_dict` VALUES ('6', '002', '客户信息来源', '电话营销', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('7', '002', '客户信息来源', '网络营销', null, '2', '1', null);
INSERT INTO `base_dict` VALUES ('8', '003', '公司性质', '合资', null, '1', '1', null);
INSERT INTO `base_dict` VALUES ('9', '003', '公司性质', '国企', null, '2', '1', null);
