我正在使用-Hibernate 4-Spring 3
我遇到一个我无法理解的问题:当我尝试在Hibernate中检索对象列表时,数据库的另一个表中充满了行.我怀疑我设置的“ CASCADE”和“ FETCHING”属性有些错误,但是我真的不明白.
让我解释一下这个问题.
这里有4个实体:
>具有所有凭据的用户,例如用户名,isEnabled,Authorities List和类似内容
>记录用户角色的授权
>一个ProfiledUser,其中包含与配置文件数据,地址数据以及检查列表有关的所有内容,最后
>包含一些数据和用户参考的检查
我试图建模以下
这是课程:用户
@Entity
@Table(name="USERS")
@Inheritance(strategy=InheritanceType.JOINED)
public class User implements UserDetails,DomainObject {
private static final long serialVersionUID = 1L;
private long id;
//other stuff here
Set<Authority> authorities = new HashSet<Authority>();
@Id
@GeneratedValue(strategy=GenerationType.AUTO)
@Column(name="id",unique=true,nullable=false)
public long getId() {
return id;
}
public void setId(long id) {
this.id = id;
}
@ElementCollection(fetch=FetchType.EAGER)
@JoinTable(name="AUTHORITIES",joinColumns=@JoinColumn(name="user_id"))
public Set<Authority> getAuthorities() {
return authorities;
}
public void setAuthorities(Set<Authority> authorities) {
this.authorities = authorities;
}
}
用户简介
@Entity
@Table(name="PROFILED_USERS")
public class ProfiledUser extends User{
private static final long serialVersionUID = 1L;
//other stuff here. Everything with CASCADE ALL
private Collection<Checkup> checkupMap = new HashSet<Checkup>();
public ProfiledUser() {
super();
// TODO Auto-generated constructor stub
}
@OneToMany(cascade=CascadeType.ALL,fetch=FetchType.EAGER)
public Collection<Checkup> getCheckupMap() {
return checkupMap;
}
public void setCheckupMap(Collection<Checkup> checkupMap) {
this.checkupMap = checkupMap;
}
}
检查
@Entity
@Table(name="CHECKUPS")
public class Checkup implements DomainObject{
private long id;
private ProfiledUser profiledUser;
//other stuff here everyithing fetched EAGERLY
private boolean pending = true;
public Checkup() {
super();
}
@Id
@GeneratedValue(strategy=GenerationType.AUTO)
@Column(name="id")
public long getId() {
return id;
}
public void setId(long id) {
this.id = id;
}
@OneToOne(fetch=FetchType.EAGER)
@JoinColumn(name="profiledUser")
public ProfiledUser getProfiledUser() {
return profiledUser;
}
public void setProfiledUser(ProfiledUser profiledUser) {
this.profiledUser = profiledUser;
}
@Column(name="pending")
public boolean isPending() {
return pending;
}
public void setPending(boolean pending) {
this.pending = pending;
}
}
最后是权威
@Embeddable
public class Authority implements GrantedAuthority{
private static final long serialVersionUID = 1L;
private String authority; //Spring Security demands them to start with "ROLE_"
public Authority() {
super();
}
@Column(name="authority")
public String getAuthority() {
return this.authority;
}
//the administer is the one allowed to change the users' role
@RolesAllowed("ROLE_ADMIN")
public void setAuthority(String authority) {
if(!authority.startsWith("ROLE_"))
authority= (new String("ROLE_")).concat(authority.toUpperCase());
this.authority = authority.toUpperCase();
}
}
现在的问题.当我尝试检索PENDING核对清单(pending是Checkup的布尔属性)时,执行以下操作
@SuppressWarnings("unchecked")
@Override
public List<Checkup> loadPendingCheckups()
{
Session session = sessionFactory.getCurrentSession();
Query query = session.createQuery("from " + objName + " where pending is true");
List<Checkup> checkupList = query.list();
if(checkupList.isEmpty())
return null;
else
return checkupList;
}
此方法来自CheckupDaoImpl,该方法用@Transactional注释.
Hibernate开始从Authority表中删除并添加大量行.例如,它从用户2删除角色ROLE_USER并添加两次,以便用户2的ROLE_USER数量随时间增加一倍:1、2、4、8、16、32、64等.
我真的不明白为什么要求SELECT会以WRITE操作结束!
请帮助我,因为我真的不知道问题出在哪里!
编辑:
当我调用loadPendingCheckups()时,我可以在控制台中阅读以下内容:
Hibernate: select checkup0_.id as id0_,checkup0_.date as date0_,checkup0_.ending_measurement as ending6_0_,checkup0_.mid_measurement as mid7_0_,checkup0_.pending as pending0_,checkup0_.physiology as physiology0_,checkup0_.profiledUser as profiled9_0_,checkup0_.quiet_measurement as quiet10_0_,checkup0_.maxTrainingFrequency as maxTrain4_0_,checkup0_.minTrainingFrequency as minTrain5_0_,checkup0_.scale_outcome as scale11_0_ from CHECKUPS checkup0_ where checkup0_.pending=1
Hibernate: select measuremen0_.id as id1_0_,measuremen0_.average_pressure as average2_1_0_,measuremen0_.diastolic_pressure as diastolic3_1_0_,measuremen0_.heart_rate as heart4_1_0_,measuremen0_.spO2 as spO5_1_0_,measuremen0_.systolic_pressure as systolic6_1_0_ from MEASUREMENTS measuremen0_ where measuremen0_.id=?
Hibernate: select measuremen0_.id as id1_0_,measuremen0_.systolic_pressure as systolic6_1_0_ from MEASUREMENTS measuremen0_ where measuremen0_.id=?
Hibernate: select physiology0_.id as id2_0_,physiology0_.height as height2_0_,physiology0_.morphism_type as morphism3_2_0_,physiology0_.structure_type as structure4_2_0_,physiology0_.weight as weight2_0_ from PHYSIOLOGIES physiology0_ where physiology0_.id=?
Hibernate: select profiledus0_.id as id7_9_,profiledus0_1_.account_non_expired as account2_7_9_,profiledus0_1_.account_non_locked as account3_7_9_,profiledus0_1_.credentials_non_expired as credenti4_7_9_,profiledus0_1_.enabled as enabled7_9_,profiledus0_1_.password as password7_9_,profiledus0_1_.username as username7_9_,profiledus0_.address_data as address3_8_9_,profiledus0_.contact_data as contact4_8_9_,profiledus0_.personal_data as personal5_8_9_,profiledus0_.subscription_date as subscrip1_8_9_,authoritie1_.user_id as user1_7_11_,authoritie1_.authority as authority11_,addressdat2_.id as id4_0_,addressdat2_.country as country4_0_,addressdat2_.location as location4_0_,addressdat2_.street as street4_0_,addressdat2_.street_number as street5_4_0_,addressdat2_.zip_code as zip6_4_0_,checkupmap3_.profiledUser as profiled9_7_12_,checkupmap3_.id as id12_,checkupmap3_.id as id0_1_,checkupmap3_.date as date0_1_,checkupmap3_.ending_measurement as ending6_0_1_,checkupmap3_.mid_measurement as mid7_0_1_,checkupmap3_.pending as pending0_1_,checkupmap3_.physiology as physiology0_1_,checkupmap3_.profiledUser as profiled9_0_1_,checkupmap3_.quiet_measurement as quiet10_0_1_,checkupmap3_.maxTrainingFrequency as maxTrain4_0_1_,checkupmap3_.minTrainingFrequency as minTrain5_0_1_,checkupmap3_.scale_outcome as scale11_0_1_,measuremen4_.id as id1_2_,measuremen4_.average_pressure as average2_1_2_,measuremen4_.diastolic_pressure as diastolic3_1_2_,measuremen4_.heart_rate as heart4_1_2_,measuremen4_.spO2 as spO5_1_2_,measuremen4_.systolic_pressure as systolic6_1_2_,measuremen5_.id as id1_3_,measuremen5_.average_pressure as average2_1_3_,measuremen5_.diastolic_pressure as diastolic3_1_3_,measuremen5_.heart_rate as heart4_1_3_,measuremen5_.spO2 as spO5_1_3_,measuremen5_.systolic_pressure as systolic6_1_3_,physiology6_.id as id2_4_,physiology6_.height as height2_4_,physiology6_.morphism_type as morphism3_2_4_,physiology6_.structure_type as structure4_2_4_,physiology6_.weight as weight2_4_,measuremen7_.id as id1_5_,measuremen7_.average_pressure as average2_1_5_,measuremen7_.diastolic_pressure as diastolic3_1_5_,measuremen7_.heart_rate as heart4_1_5_,measuremen7_.spO2 as spO5_1_5_,measuremen7_.systolic_pressure as systolic6_1_5_,scaleoutco8_.id as id3_6_,scaleoutco8_.bmr as bmr3_6_,scaleoutco8_.body_fat as body3_3_6_,scaleoutco8_.Metabolic_age as Metabolic4_3_6_,scaleoutco8_.muscle_mass as muscle5_3_6_,scaleoutco8_.skeletal_mass as skeletal6_3_6_,scaleoutco8_.visceral_fat as visceral7_3_6_,scaleoutco8_.water as water3_6_,scaleoutco8_.weight as weight3_6_,contactdat9_.id as id5_7_,contactdat9_.email as email5_7_,contactdat9_.mobile as mobile5_7_,contactdat9_.phone as phone5_7_,personalda10_.id as id6_8_,personalda10_.birth_date as birth2_6_8_,personalda10_.name as name6_8_,personalda10_.second_name as second4_6_8_ from PROFILED_USERS profiledus0_ inner join USERS profiledus0_1_ on profiledus0_.id=profiledus0_1_.id left outer join AUTHORITIES authoritie1_ on profiledus0_.id=authoritie1_.user_id left outer join ADDRESS_DATA addressdat2_ on profiledus0_.address_data=addressdat2_.id left outer join CHECKUPS checkupmap3_ on profiledus0_.id=checkupmap3_.profiledUser left outer join MEASUREMENTS measuremen4_ on checkupmap3_.ending_measurement=measuremen4_.id left outer join MEASUREMENTS measuremen5_ on checkupmap3_.mid_measurement=measuremen5_.id left outer join PHYSIOLOGIES physiology6_ on checkupmap3_.physiology=physiology6_.id left outer join MEASUREMENTS measuremen7_ on checkupmap3_.quiet_measurement=measuremen7_.id left outer join SCALE_OUTCOMES scaleoutco8_ on checkupmap3_.scale_outcome=scaleoutco8_.id left outer join CONTACT_DATA contactdat9_ on profiledus0_.contact_data=contactdat9_.id left outer join PERSONAL_DATA personalda10_ on profiledus0_.personal_data=personalda10_.id where profiledus0_.id=?
Hibernate: select measuremen0_.id as id1_0_,personalda10_.second_name as second4_6_8_ from PROFILED_USERS profiledus0_ inner join USERS profiledus0_1_ on profiledus0_.id=profiledus0_1_.id left outer join AUTHORITIES authoritie1_ on profiledus0_.id=authoritie1_.user_id left outer join ADDRESS_DATA addressdat2_ on profiledus0_.address_data=addressdat2_.id left outer join CHECKUPS checkupmap3_ on profiledus0_.id=checkupmap3_.profiledUser left outer join MEASUREMENTS measuremen4_ on checkupmap3_.ending_measurement=measuremen4_.id left outer join MEASUREMENTS measuremen5_ on checkupmap3_.mid_measurement=measuremen5_.id left outer join PHYSIOLOGIES physiology6_ on checkupmap3_.physiology=physiology6_.id left outer join MEASUREMENTS measuremen7_ on checkupmap3_.quiet_measurement=measuremen7_.id left outer join SCALE_OUTCOMES scaleoutco8_ on checkupmap3_.scale_outcome=scaleoutco8_.id left outer join CONTACT_DATA contactdat9_ on profiledus0_.contact_data=contactdat9_.id left outer join PERSONAL_DATA personalda10_ on profiledus0_.personal_data=personalda10_.id where profiledus0_.id=?
Hibernate: delete from AUTHORITIES where user_id=? and authority=?
Hibernate: insert into AUTHORITIES (user_id,authority) values (?,?)
Hibernate: delete from AUTHORITIES where user_id=? and authority=?
...// a very lot of these
Hibernate: insert into AUTHORITIES (user_id,?)
Hibernate: insert into AUTHORITIES (user_id,?)
//a very lot of these
生理,测量等是检查的内容.我认为可以找回.但此后,它会触发大规模删除和删除操作.插入AUTHORITY表中.
编辑2:
看来问题已解决,将表单@ElementCollection切换为用户与授权之间的@OneToMany关系.幸运的是,我正在设计数据库,并且允许我进行此修改.这个问题似乎消失了,但是我仍然没有弄清楚ORM异常行为背后的原因.
更确切地说,最奇怪的是,当我要求从db Hibernate检索Checkups表单时,触发了不可思议的
>删除授权项
>插入授权项
如果有人能指出这一点,将不胜感激.
双向一对多关系配置如下:
>一侧标有@ManyToOne,另一侧标有@OneToMany
> @OneToMany必须具有一个指向对应的@ManyToOne属性的mappingBy属性
>物理映射注释(@JoinColumn)应该在@ManyToOne一侧
像这样:
public class ProfiledUser extends User{
@OneToMany(cascade=CascadeType.ALL,fetch=FetchType.EAGER,mappedBy = "profiledUser")
public Collection<Checkup> getCheckupMap() {
return checkupMap;
}
...
}
public class Checkup implements DomainObject {
@ManyToOne(fetch=FetchType.EAGER)
@JoinColumn(name="profiledUser")
public ProfiledUser getProfiledUser() {
return profiledUser;
}
...
}