3

私が使用している-Hibernate 4-Spring 3

理解できない問題に直面しています。Hibernate でオブジェクトのリストを取得しようとすると、データベースの別のテーブルが行でいっぱいになります。設定した「CASCADE」および「FETCHING」プロパティに問題があるのではないかと思いますが、本当に理解できません。

問題を説明しましょう。

ここには 4 つのエンティティがあります。

  1. usernameisEnabledAuthorities Listおよび同様のもののようなすべての資格情報を持つユーザー
  2. ユーザーの役割を記録する機関
  3. profile dataaddress data、および のリストに関連するすべてのものを持ちcheckups、最後に ProfiledUser
  4. いくつかのデータとユーザーへの参照を含む Checkup

以下をモデル化してみました

ここに画像の説明を入力

クラスは次のとおりです。ユーザー

@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;
    }   
}

プロファイルされたユーザー

@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;
    }
}

調べる

@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;
    }
}

そして最後に権威

@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();
    }
}

今問題。PENDING チェックの LIST を取得しようとすると (pending は Checkup のブール属性です)、次のようにします。

@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;
}

このメソッドは、CheckupDaoImplで注釈が付けられたもの@Transactionalです。

Hibernate は、テーブルから大量の行を削除および追加し始めAuthorityます。たとえば、ユーザー 2 からロールを削除しROLE_USER、ユーザー 2 の数が時間とともに 2 倍になるように 2 を追加します: 1、2、4、8、16、32、64 ROLE_USER、... など。SELECT を要求すると WRITE 操作になる理由が本当に理解できません! どこが悪いのかわからないので教えてください!

編集:

を呼び出すloadPendingCheckups()と、コンソールで次のように表示されます。

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

生理学、測定などは、健康診断の内容です。回収されたので大丈夫だと思います。しかしその後、AUTHORITY テーブル内で大量の削除と挿入がトリガーされます。

EDIT 2: User と Authority の間の関係にフォーム@ElementCollectionを 切り替えることで問題が解決したようです。@OneToMany幸いなことに、私はデータベースを設計しており、この変更は許可されています。問題は解消されたようですが、それでも ORM の奇妙な動作の背後にある理論的根拠はわかりませんでした。より正確には、最も奇妙なことは、db Hibernate から Checkups を取得するように要求したときに、信じられないほどの量の

  1. 権限項目の削除
  2. 権限項目の挿入

誰かがそのことを指摘できれば、それは非常にありがたいです。

4

1 に答える 1

3

ProfiledUserそれが問題の原因かどうかはわかりませんが、との間の双方向の関係がCheckup正しく構成されていません。

双方向の 1 対多の関係は、次のように構成されます。

  • 片面には@ManyToOne、もう片面には - と注釈が付けられています@OneToMany
  • @OneToMany対応するプロパティmappedByを指す属性が必要です@ManyToOne
  • 物理マッピングの注釈 ( @JoinColumn) は@ManyToOne横にある必要があります

このようなもの:

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;
    }
    ...
}
于 2012-11-10T10:19:13.360 に答える