Giriş
org.hibernate.query.Query ile kullanılır.
org.hibernate.query.Query ile kullanılır.
import org.hibernate.Criteria;
import org.hibernate.Session;
import org.hibernate.SessionFactory;
import org.hibernate.criterion.Restrictions;
eq metodureturn (Number)
session.createCriteria(Book.class)add(Restrictions.eq("language", "Java))
.setProjection(Projections.rowCount())
.uniqueResult();
Örnekfinal Session session = sessionFactory.getCurrentSession();
final Criteria criteria = session.createCriteria(User.class);
criteria.add(Restrictions.eq("risk", 1));
List list = criteria.list();
public class StringIdGenerator implements IdentifierGenerator {
final public static String NAME=StringIdGenerator.class.getSimpleName();
public Serializable generate(SessionImplementor session, Object object)
throws HibernateException {
return UUID.randomUUID().toString().replace("-","");
}
}
<property name="hibernate.hbm2ddl.auto">update</property>
3. validate seçeneği
<property name="hibernate.hbm2ddl.import_files_sql_extractor"
value="org.hibernate.tool.hbm2ddl.MultipleLinesSqlCommandExtractor" />
This annotation is used to index associated entities (@ManyToMany, @*ToOne, @Embedded and @ElementCollection) as part of the owning entity. This is needed since a Lucene index document is a flat data structure which does not know anything about object relations.Örnek
public class Eventinfo implements Serializable {
@IndexedEmbedded
private Set<EventLicenseType> eventLicenceTypeIds;
...
}
import org.hibernate.annotations.Cache;
import org.hibernate.annotations.CacheConcurrencyStrategy;
Read-onlyUseful for data that is read frequently but never updated (e.g. referential data like Countries). It is simple. It has the best performances of all (obviously).Read/writeDesirable if your data needs to be updated. But it doesn't provide a SERIALIZABLE isolation level, phantom reads can occur (you may see at the end of a transaction something that wasn't there at the start). It has more overhead than read-only.Nonstrict read/writeAlternatively, if it's unlikely two separate transaction threads could update the same object, you may use the nonstrict–read–write strategy. It has less overhead than read-write. This one is useful for data that are rarely updated.TransactionalIf you need a fully transactional cache. Only suitable in a JTA environment.
@Entity
@Table(...)
@Cache(usage = CacheConcurrencyStrategy.NONSTRICT_READ_WRITE)
public class MyAnswer implements Serializable {
...
}
@OneToMany(fetch = FetchType.EAGER, mappedBy = "parent")
@OnDelete(action = OnDeleteAction.CASCADE)
private List<Tree> children;
Örnek@OneToOne
@OnDelete(action = OnDeleteAction.CASCADE)
Object door;