文章目录
一和多情况
1.正常一和多情况
sl_message 表有个外键,关联到 sl_employee 表
所以 sl_employee 是一,sl_message 是多
@OneToMany时getSet
@ManyToOne时get
@Entity//一端
@Table(name = "sl_employee")
public class SlEmployee implements Serializable {
public void setSlMessageSet(Set<SlMessage> slMessageSet) {
this.slMessageSet = slMessageSet;
}
//一端:有@mappedBy,表示当前表和SlMessage的关系是定义在SlMessage里面的成员变量slEmployee上,且自己【主表】不维护一和多的关系,由SlEmployee【从表】通过成员变量slEmployee维护一对多的关系
/*
a) 只有 OneToOne,OneToMany,ManyToMany 上才有 mappedBy 属性,ManyToOne 不存在该属性;
b) mappedBy 定义在主表【一对一的一,一对多的一,多对多的多】
d) mappedBy 跟 JoinColumn/JoinTable 总是处于互斥的一方,mappedBy 这方定义的 JoinColumn/JoinTable 总是失效的,不会建立对应的字段或者表
*/
//FetchType.LAZY:懒加载,加载时,定义懒加载的属性不会马上从数据库中加载。即加载SlEmployee【主表】时不会把相关联的SlMessage【从表】都加载
//FetchType=EAGER:急加载,加载时,定义急加载的属性会马上从数据库中加载。即加载SlEmployee【主表】时会把相关联的SlMessage【从表】都加载。优点不用进行二次查询。缺点是严重影响数据查询的访问时间
@OneToMany(fetch = FetchType.LAZY, mappedBy = "slEmployee")
public Set<SlMessage> getSlMessageSet() {
return slMessageSet;
}
}
@Entity//多端
@Table(name = "sl_message")
public class SlMessage implements Serializable {
public void setSlEmployee(SlEmployee slEmployee) {
this.slEmployee = slEmployee;
}
//多端:有@JoinColumn,表自己【从表】通过外键"sender"来和主表SlEmployee进行关联
//FetchType.LAZY:懒加载,加载时,定义懒加载的属性不会马上从数据库中加载。即加载SlMessage【从表】时不会把相关联的SlEmployee【主表】都加载
//FetchType=EAGER:急加载,加载时,定义急加载的属性会马上从数据库中加载。即加载SlEmployee【主表】时会把相关联的SlMessage【从表】都加载。优点不用进行二次查询。缺点是严重影响数据查询的访问时间
@ManyToOne(fetch = FetchType.LAZY)
@JoinColumn(name = "sender")
public SlEmployee getSlEmployee() {
return slEmployee;
}
}
2.特殊一对多情况 【递归:一和多是同一类型】
1. eg:部门下面有部门
2. 由于一和多是同一类型,SlDept类,有slDept【一端应该有】和slDeptSet【多端应该有set】
CREATE TABLE `sl_dept` (
`dept_id` int(11) NOT NULL AUTO_INCREMENT,
`parent_id` int(11) DEFAULT NULL,
`dept_name` varchar(50) DEFAULT NULL,
PRIMARY KEY (`dept_id`),
KEY `fk_parent_id` (`parent_id`),
CONSTRAINT `fk_parent_id` FOREIGN KEY (`parent_id`) REFERENCES `sl_dept` (`dept_id`) ON DELETE CASCADE ON UPDATE NO ACTION,
) ENGINE=InnoDB AUTO_INCREMENT=18 DEFAULT CHARSET=utf8;
@Entity
@Table(name = "sl_dept")
public class SlDept implements Serializable {
//sl_dept
private SlDept slDept;
//sl_dept
private Set<SlDept> slDeptSet = new HashSet<SlDept>(0);
public void setSlDept(SlDept slDept) {
this.slDept = slDept;
}
@ManyToOne(fetch = FetchType.LAZY)
@JoinColumn(name = "parent_id")
public SlDept getSlDept() {
return slDept;
}
public void setSlDeptSet(Set<SlDept> slDeptSet) {
this.slDeptSet = slDeptSet;
}
@OneToMany(fetch = FetchType.LAZY, mappedBy = "slDept")
public Set<SlDept> getSlDeptSet() {
return slDeptSet;
}
}
保存一对多
1.1 保存正常一对多的一【同时要保存多,且有上面可知,关系由多进行维护】
@DataResolver
@Transactional
public void saveAll(Collection<SlEmployee> slEmployees){
//维护主表信息
slEmployeeDao.persistEntities(slEmployees);
for(SlEmployee employee:slEmployees){
Collection<SlMessage> messages = employee.getSlMessageSet();
if(messages!=null){
for(SlMessage message:messages){
//维护关联关系
message.setSlEmployee(employee);
}
slMessageDao.persistEntities(messages);
}
}
}
1.2 保存正常一对多的多
@DataResolver
@Transactional
public void saveMessages(Collection<SlEmployee> slEmployees){
for(SlEmployee employee:slEmployees){
Collection<SlMessage> messages = employee.getSlMessageSet();
for(SlMessage message:messages){
//维护关联关系 学生.setClass("一班");
message.setSlEmployee(employee);
}
slMessageDao.persistEntities(messages);
}
}
2保存特殊一对多的一【同时保存一和多】
@DataResolver
@Transactional
public void saveAll(Collection<SlDept> depts){
for(SlDept dept:depts){
slDeptDao.persistEntity(dept);
Collection<SlDept> childs = dept.getSlDeptSet();
if(!(childs == null)){
for(SlDept child:childs){
//根据主表类中的@mappedBy字段,表明由多端【从表】维护关系
child.setSlDept(dept);
}
slDeptDao.persistEntities(childs);
saveAll(childs);
}
}
}