我正在使用 - 休眠 4 - 春季 3
我遇到了一个我无法理解的问题：当我尝试在 Hibernate 中检索对象列表时，我的数据库的另一个表中充满了行。我怀疑我设置的“CASCADE”和“FETCHING”属性有问题，但我真的无法理解。
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,
username和类似的东西isEnabledAuthorities List - 记录用户角色的权限
- 一个 ProfiledUser ，其中包含与 , 相关的所有内容
profile data，address data还有一个列表checkups，最后是 - 有一些数据和对用户的引用的检查
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;
}
}
Profiled用户
@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;
}
}
清理
@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。当我尝试检索待处理检查列表（待处理是检查的布尔属性）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;
}
这个方法是 from CheckupDaoImplwhich 用 注释的@Transactional。
Hibernate 开始从表中删除和添加大量行Authority。例如，它删除了ROLE_USER用户 2 的角色并添加了两次，因此ROLE_USER用户 2 的数量随着时间的推移而翻倍：1、2、4、8、16、32、64……等等。我真的不明白为什么要求一个 SELECT 它以一个 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 a 时，loadPendingCheckups()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_.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 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_, 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_.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 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_, 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_.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 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: 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, authority) values (?, ?)
Hibernate: insert into AUTHORITIES (user_id, authority) values (?, ?)
Hibernate: insert into AUTHORITIES (user_id, authority) values (?, ?)
//a very lot of these
生理，测量等，是检查里面的东西。我认为没关系，它被检索了。但在那之后，它会触发 AUTHORITY 表内的大量删除和插入。
编辑2：
似乎问题已解决，将形式转换@ElementCollection为@OneToMany用户和权限之间的关系。幸运的是，我正在设计数据库，并且允许我进行此修改。问题似乎消失了，但我仍然没有弄清楚 ORM 奇怪行为背后的原因。更准确地说，最奇怪的是，当我要求从 db Hibernate 中检索 Checkups 时，触发了数量惊人的
- 删除权限项目
- 插入权威项目
如果有人能指出这件事，将不胜感激。