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README
Apache-2.0

ljdp-core3

项目介绍

轻量java开发平台核心数据处理层,动态sql构建器,动态数据源配置。

一、动态SQL构建

背景

例如下图这种是个常见的后台工单查询菜单,包含了大量动态的条件。 image 后端一般的做法是根据前端参数,组装成sql后执行查询,编写过程非常繁琐费时。

此组件解决方法

使用运算符(eq,ne,lt,gt,le,ge等)与查询字段拼接作为查询参数,后端自动解析为sql查询语句。

参数命名规则

例如:字段 eq_name的值为"myName",则生成的条件子句为:name = 'myName'。

代码例子

例如定义了这样一个用户表查询对象

public class SysUserDBParam extends RoDBQueryParam {
	private String like_fullname;//名称 like ?
	private String eq_account;//登录账号 = ?
	@DateTimeFormat(pattern="yyyy-MM-dd")
	private Date le_createtime;//创建时间 <= ?
	@DateTimeFormat(pattern="yyyy-MM-dd")
	private Date ge_createtime;//创建时间 >= ?
}

然后mvc添加一个路由接收查询请求

@RequestMapping(value="/search")
	public TablePage<SysUser> search(SysUserDBParam params, Pageable pageable){
		Page<SysUser> result =  sysUserService.query(params, pageable);
		.....
	}
  • 请求A:/search?like_fullname=管理&le_createtime=2018-04-19
  • 生成查询条件: where fullname like '%管理%' and createtime<=(2018-04-19日期类型)
  • 请求B:/search?eq_account='admin'&ge_createtime=2018-04-19
  • 生成查询条件: where account='admin' and createtime>=(2018-04-19日期类型)

通用运算:(支持所有数据类型)

说明 等于 不等于 小于 大于 小于等于 大于等于 BETWEEN IN NOT IN 是否空值
sql运算符 = <> < > <= >= between in not in true=(is null) false=(is not null)
代码中写法 eq_ ne_ lt_ gt_ le_ ge_ between_ in_ nin_ null_

字符串运算

说明 | like|not like|等于,忽略大小写|不等于,忽略大小写|like,忽略大小写|not like,忽略大小写 ---|---|---|---|---|---|---|--- 代码中写法|like_ |nlike_|ic_eq_|ic_ne_|ic_like_|ic_nlike

自定义SQL

说明 自定义SQL
代码中写法 sql_

直接使用DBQueryParam

有时需要在后端构建动态sql,也可以这样写:

DBQueryParam params = new DBQueryParam();
params.addQueryCondition(fieldA, RO.EQ, value0);
params.addQueryCondition(fieldB, RO.GT, value1);
//或者也可以这样写:
params.addQueryCondition(fieldA, "_eq_", value0);
params.addQueryCondition(fieldB, "_gt_", value1);

则生成的SQL为:fieldA=? and fieldB>?

嵌套属性,复合主键使用‘$’符号进行连接

方法1:继承DBQueryParam

先自定义一个查询对象

public class HycardWorkfCardDBParam extends DBQueryParam {
	
	private String eq_id$workfId;
	private Long eq_id$cardId;

    ...
}

然后使用

DBQueryParam params = new HycardWorkfCardDBParam();
params.setEq_id$workfId("*******");
方法2:直接使用DBQueryParam
DBQueryParam params = new DBQueryParam();
params.addQueryCondition("id$workfId", "_eq_", value0);
params.addQueryCondition("id$cardId", "_eq_", value0);

多表关联查询

当涉及多个表字段的动态组合查询,也是可以的,只需要自己编写表之间的关联就行,下面是个示例代码。

//首先初始化JpaMultiDynamicQueryDAO对象。(暂时只支持JPA)
    private EntityManager em;
	
	private JpaMultiDynamicQueryDAO dao;
	
	@PersistenceContext
	public void setEntityManager(EntityManager em) {
		this.em = em;
		dao = new JpaMultiDynamicQueryDAO(em);
	}

下面是多表查询写法

public Page<?> queryShopItemAndProd(ProdProductDBParam prodPrams, ShopItemDBParam itemParams, Pageable pageable){
    //先定义查询对象关联的表
	prodPrams.setTableAlias("p");
	itemParams.setTableAlias("s");
	//编写查询HQL的主部分(不用写查询条件)
	String multiHql = "select s,p from ShopItem s, ProdProduct p where s.pid=p.pid ";
	//执行查询
	return Page<?> dbresult = dao.query(multiHql, pageable, prodPrams,itemParams);
	return dbresult;
}

二、动态数据源

可以实现一个项目中访问不同的数据库

1、第一步:配置多个数据源

spring:
  datasource:
    primary: 
      druid:
        url: jdbc:mysql://127.0.0.1:3306/jshop1?useUnicode=true&characterEncoding=utf-8&useSSL=false
        username: root
        password: 123456
    second: 
      druid:
        url: jdbc:mysql://127.0.0.1:3306/jshop2?useUnicode=true&characterEncoding=utf-8&useSSL=false
        username: root
        password: 123456

2、第二步:初始化数据源

数据源1
@Configuration
@ConfigurationProperties("spring.datasource.primary.druid")
public class PrimaryDruidDataSourceConfig extends DruidProperty{

	@Bean
	public DataSourceWrapper primaryDataSourceWrapper() throws SQLException {
		DruidDataSource ds = new DruidDataSource();
		ds.setName("主数据源");
		super.initConfig(ds);
        DataSourceWrapper dsw = new DataSourceWrapper(ds);
        return dsw;
	}

}
数据源2
@Configuration
@ConfigurationProperties("spring.datasource.second.druid")
public class SecondDruidDataSourceConfig extends DruidProperty{

	@Bean
	public DataSourceWrapper secondDataSourceWrapper() throws SQLException {
		DruidDataSource ds = new DruidDataSource();
		ds.setName("副数据源");
		super.initConfig(ds);
        DataSourceWrapper dsw = new DataSourceWrapper(ds);
        return dsw;
	}
}
设置主数据源
@Configuration
public class MyDataSourcesConf {
	
	@Autowired
	private DataSourceWrapper primaryDataSourceWrapper;
	@Autowired
	private DataSourceWrapper secondDataSourceWrapper;
	
	@Bean
	@Primary
	public DataSource dataSource() {
		DynamicDataSource dds = new DynamicDataSource();
		dds.setDefaultTargetDataSource(primaryDataSourceWrapper.getDataSource());
		Map<Object, Object> targetDataSources = new HashMap<>();
		targetDataSources.put("primary", primaryDataSourceWrapper.getDataSource());
		targetDataSources.put("second", secondDataSourceWrapper.getDataSource());;
		dds.setTargetDataSources(targetDataSources);
		dds.afterPropertiesSet();
		return dds;
    }


}

3、第三步:AOP截拦数据库访问

@Component
@Aspect
@Order(-1) //注意顺序要在事务管理器之前执行
public class DynamicDataSourceAOP {
	
	private DynamicDataSourceAspect aop = new DynamicDataSourceAspect();

	@Pointcut("execution(* com.openjava..service..*Impl.*(..)))")  
	public void executeService(){
	  
	}
	
	@Around("executeService()")
	public Object doAround(ProceedingJoinPoint point) throws Throwable{
		return aop.doAround(point);
	}
}

4、最后,如何使用?

用TargetDataSource定义方法访问的数据源

@TargetDataSource("primary")
public ApiDoc getFromPrimary(Integer id) {
	ApiDoc m = apiDocRepository.findOne(id);
	return m;
}
/**
 * 切换另外一个数据库
*/
@TargetDataSource("second")
public ApiDoc getFromSecond(Integer id) {
	ApiDoc m = apiDocRepository.findOne(id);
	return m;
}
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轻量java开发平台核心数据处理层,动态sql构建器,动态数据源配置。 展开 收起
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