- 머리말
- 1. Tutorial
- 2. 아키텍처
- 3. 구성
- 4. 영속 클래스들
- 5. 기본 O/R 매핑
- 5.1. 매핑 선언
- 5.1.1. Doctype
- 5.1.2. Hibernate-mapping
- 5.1.3. Class
- 5.1.4. id
- 5.1.5. NOT TRANSLATED!Enhanced identifier generators
- 5.1.6. NOT TRANSLATED! Identifier generator optimization
- 5.1.7. composite-id
- 5.1.8. Discriminator
- 5.1.9. Version (optional)
- 5.1.10. Timestamp (optional)
- 5.1.11. Property
- 5.1.12. Many-to-one
- 5.1.13. One-to-one
- 5.1.14. Natural-id
- 5.1.15. Component and dynamic-component
- 5.1.16. Properties
- 5.1.17. Subclass
- 5.1.18. Joined-subclass
- 5.1.19. Union-subclass
- 5.1.20. Join
- 5.1.21. Key
- 5.1.22. Column and formula elements
- 5.1.23. Import
- 5.1.24. Any
- 5.2. Hibernate types
- 5.3. 하나의 클래스를 한 번 이상 매핑하기
- 5.4. SQL 인용부호 표시된 식별자들
- 5.5. Metadata 대안들
- 5.6. Generated properties
- 5.7. Auxiliary database objects
- 6. Collection mapping
- 7. 연관 매핑들
- 8. Component 매핑
- 9. Inheritance mapping
- 10. 객체들로 작업하기
- 11. Transactions and Concurrency
- 12. 인터셉터들과 이벤트들
- 13. Batch ì²ë¦¬
- 14. HQL: 하이버네이트 질의 언어(Hibernate Query Language)
- 14.1. 대소문자 구분
- 14.2. from 절
- 14.3. 연관들과 조인들
- 14.4. join 구문의 형식들
- 14.5. Referring to identifier property
- 14.6. select 절
- 14.7. 집계 함수들
- 14.8. Polymorphic(다형성) 질의들
- 14.9. where 절
- 14.10. 표현식들
- 14.11. order by 절
- 14.12. group by 절
- 14.13. 서브질의들
- 14.14. HQL 예제들
- 14.15. 대량 update와 delete
- 14.16. 팁들 & 트릭들
- 14.17. 컴포넌트들
- 14.18. Row value constructor 구문
- 15. Criteria 질의들
- 16. Native SQL
- 17. 데이터 필터링하기
- 18. XML 매핑
- 19. 퍼포먼스 개선하기
- 20. 도구셋 안내
- 21. 예제: 부모/자식
- 22. 예제: Weblog 어플리케이션
- 23. 예제: 여러 가지 매핑들
- 24. 최상의 실전 경험들
- 25. Database Portability Considerations
- References
만일 당신이 Hibernate와 Object/Relational 매핑 또는 심지어 자바에 초심자라면, 다음 단계들을 따르기 바란다:
더 많은 단계적인 사용 설명서들을 가진 더 긴 튜토리얼은 1장. Tutorial 을 읽어라. 튜토리얼을 위한 소스 코드는
doc/reference/tutorial/
디렉토리에 포함되어 있다.Hibernate가 사용될 수 있는 환경을 이해려면 2장. 아키텍처 를 읽어라.
View the
eg/
directory in the Hibernate distribution. It contains a simple standalone application. Copy your JDBC driver to thelib/
directory and editetc/hibernate.properties
, specifying correct values for your database. From a command prompt in the distribution directory, typeant eg
(using Ant), or under Windows, typebuild eg
.Use this reference documentation as your primary source of information. Consider reading [JPwH] if you need more help with application design, or if you prefer a step-by-step tutorial. Also visithttp://caveatemptor.hibernate.org and download the example application from [JPwH].
FAQ들은 Hibernate 웹 사이트 상에 답변되어 있다.
Links to third party demos, examples, and tutorials are maintained on the Hibernate website.
Hibernate 웹사이트 상의 공동체 영역은 설계 패턴과 다양한 통합 솔루션들(Tomcat, JBoss AS, Struts, EJB 등.)에 관한 좋은 리소스이다.
If you have questions, use the user forum linked on the Hibernate website. We also provide a JIRA issue tracking system for bug reports and feature requests. If you are interested in the development of Hibernate, join the developer mailing list. If you are interested in translating this documentation into your language, contact us on the developer mailing list.
Hibernate를 위한 상용 개발 지원, 제품 지원, 그리고 교육은 JBoss Inc를 통해 이용 가능하다 (http://www.hibernate.org/SupportTraining/를 보라). Hibernate는 JBoss Professional Open Source product 프로젝트이고 제품들에 대한 JBoss Enterprise Middleware System (JEMS) suite의 중대한 컴포넌트이다.
Use Hibernate JIRA to report errors or request enhacements to this documentation.
Intended for new users, this chapter provides an step-by-step introduction to Hibernate, starting with a simple application using an in-memory database. The tutorial is based on an earlier tutorial developed by Michael Gloegl. All code is contained in the tutorials/web
directory of the project source.
중요
This tutorial expects the user have knowledge of both Java and SQL. If you have a limited knowledge of JAVA or SQL, it is advised that you start with a good introduction to that technology prior to attempting to learn Hibernate.
참고
The distribution contains another example application under the tutorial/eg
project source directory.
참고
Although you can use whatever database you feel comfortable using, we will use HSQLDB(an in-memory, Java database) to avoid describing installation/setup of any particular database servers.
The first thing we need to do is to set up the development environment. We will be using the "standard layout" advocated by alot of build tools such as Maven. Maven, in particular, has a good resource describing this layout. As this tutorial is to be a web application, we will be creating and making use ofsrc/main/java
, src/main/resources
and src/main/webapp
directories.
We will be using Maven in this tutorial, taking advantage of its transitive dependency management capabilities as well as the ability of many IDEs to automatically set up a project for us based on the maven descriptor.
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>org.hibernate.tutorials</groupId> <artifactId>hibernate-tutorial</artifactId> <version>1.0.0-SNAPSHOT</version> <name>First Hibernate Tutorial</name> <build> <!-- we dont want the version to be part of the generated war file name --> <finalName>${artifactId}</finalName> </build> <dependencies> <dependency> <groupId>org.hibernate</groupId> <artifactId>hibernate-core</artifactId> </dependency> <!-- Because this is a web app, we also have a dependency on the servlet api. --> <dependency> <groupId>javax.servlet</groupId> <artifactId>servlet-api</artifactId> </dependency> <!-- Hibernate uses slf4j for logging, for our purposes here use the simple backend --> <dependency> <groupId>org.slf4j</groupId> <artifactId>slf4j-simple</artifactId> </dependency> <!-- Hibernate gives you a choice of bytecode providers between cglib and javassist --> <dependency> <groupId>javassist</groupId> <artifactId>javassist</artifactId> </dependency> </dependencies> </project>
작은 정보
It is not a requirement to use Maven. If you wish to use something else to build this tutoial (such as Ant), the layout will remain the same. The only change is that you will need to manually account for all the needed dependencies. If you use something like Ivy providing transitive dependency management you would still use the dependencies mentioned below. Otherwise, you'd need to grab all dependencies, both explicit and transitive, and add them to the project's classpath. If working from the Hibernate distribution bundle, this would mean hibernate3.jar
, all artifacts in the lib/required
directory and all files from either the lib/bytecode/cglib
or lib/bytecode/javassist
directory; additionally you will need both the servlet-api jar and one of the slf4j logging backends.
Save this file as pom.xml
in the project root directory.
package org.hibernate.tutorial.domain; import java.util.Date; public class Event { private Long id; private String title; private Date date; public Event() {} public Long getId() { return id; } private void setId(Long id) { this.id = id; } public Date getDate() { return date; } public void setDate(Date date) { this.date = date; } public String getTitle() { return title; } public void setTitle(String title) { this.title = title; } }
Save this file to the src/main/java/org/hibernate/tutorial/domain
directory.
<?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping package="org.hibernate.tutorial.domain"> [...] </hibernate-mapping>
<hibernate-mapping package="org.hibernate.tutorial.domain"> <class name="Event" table="EVENTS"> </class> </hibernate-mapping>
<hibernate-mapping package="org.hibernate.tutorial.domain"> <class name="Event" table="EVENTS"> <id name="id" column="EVENT_ID"> <generator class="native"/> </id> </class> </hibernate-mapping>
작은 정보
native
is no longer consider the best strategy in terms of portability. for further discussion, see 25.4절. “Identifier generation”
Lastly, we need to tell Hibernate about the remaining entity class properties. By default, no properties of the class are considered persistent:
<hibernate-mapping package="org.hibernate.tutorial.domain"> <class name="Event" table="EVENTS"> <id name="id" column="EVENT_ID"> <generator class="native"/> </id> <property name="date" type="timestamp" column="EVENT_DATE"/> <property name="title"/> </class> </hibernate-mapping>
Similar to the id
element, the name
attribute of the property
element tells Hibernate which getter and setter methods to use. In this case, Hibernate will search for getDate()
, setDate()
, getTitle()
and setTitle()
methods.
참고
Why does the date
property mapping include the column
attribute, but the title
does not? Without the column
attribute, Hibernate by default uses the property name as the column name. This works for title
, however, date
is a reserved keyword in most databases so you will need to map it to a different name.
The title
mapping also lacks a type
attribute. The types declared and used in the mapping files are not Java data types; they are not SQL database types either. These types are called Hibernate mapping types, converters which can translate from Java to SQL data types and vice versa. Again, Hibernate will try to determine the correct conversion and mapping type itself if the type
attribute is not present in the mapping. In some cases this automatic detection using Reflection on the Java class might not have the default you expect or need. This is the case with the date
property. Hibernate cannot know if the property, which is of java.util.Date
, should map to a SQL date
, timestamp
, or time
column. Full date and time information is preserved by mapping the property with a timestamp
converter.
작은 정보
Hibernate makes this mapping type determination using reflection when the mapping files are processed. This can take time and resources, so if startup performance is important you should consider explicitly defining the type to use.
Save this mapping file as src/main/resources/org/hibernate/tutorial/domain/Event.hbm.xml
.
Hibernate will be connecting to the database on behalf of your application, so it needs to know how to obtain connections. For this tutorial we will be using a standalone connection pool (as opposed to ajavax.sql.DataSource
). Hibernate comes with support for two third-party open source JDBC connection pools: c3p0 and proxool. However, we will be using the Hibernate built-in connection pool for this tutorial.
경고
The built-in Hibernate connection pool is in no way intended for production use. It lacks several features found on any decent connection pool.
For Hibernate's configuration, we can use a simple hibernate.properties
file, a more sophisticatedhibernate.cfg.xml
file, or even complete programmatic setup. Most users prefer the XML configuration file:
<?xml version='1.0' encoding='utf-8'?> <!DOCTYPE hibernate-configuration PUBLIC "-//Hibernate/Hibernate Configuration DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd"> <hibernate-configuration> <session-factory> <!-- Database connection settings --> <property name="connection.driver_class">org.hsqldb.jdbcDriver</property> <property name="connection.url">jdbc:hsqldb:hsql://localhost</property> <property name="connection.username">sa</property> <property name="connection.password"></property> <!-- JDBC connection pool (use the built-in) --> <property name="connection.pool_size">1</property> <!-- SQL dialect --> <property name="dialect">org.hibernate.dialect.HSQLDialect</property> <!-- Enable Hibernate's automatic session context management --> <property name="current_session_context_class">thread</property> <!-- Disable the second-level cache --> <property name="cache.provider_class">org.hibernate.cache.NoCacheProvider</property> <!-- Echo all executed SQL to stdout --> <property name="show_sql">true</property> <!-- Drop and re-create the database schema on startup --> <property name="hbm2ddl.auto">update</property> <mapping resource="org/hibernate/tutorial/domain/Event.hbm.xml"/> </session-factory> </hibernate-configuration>
참고
Notice that this configuration file specifies a different DTD
You configure Hibernate's SessionFactory
. SessionFactory is a global factory responsible for a particular database. If you have several databases, for easier startup you should use several <session-factory>
configurations in several configuration files.
The first four property
elements contain the necessary configuration for the JDBC connection. The dialectproperty
element specifies the particular SQL variant Hibernate generates.
작은 정보
In most cases, Hibernate is able to properly determine which dialect to use. See 25.3절. “Dialect resolution” for more information.
Hibernate's automatic session management for persistence contexts is particularly useful in this context. The hbm2ddl.auto
option turns on automatic generation of database schemas directly into the database. This can also be turned off by removing the configuration option, or redirected to a file with the help of the SchemaExport
Ant task. Finally, add the mapping file(s) for persistent classes to the configuration.
Save this file as hibernate.cfg.xml
into the src/main/resources
directory.
We will now build the tutorial with Maven. You will need to have Maven installed; it is available from theMaven download page. Maven will read the /pom.xml
file we created earlier and know how to perform some basic project tasks. First, lets run the compile
goal to make sure we can compile everything so far:
[hibernateTutorial]$ mvn compile [INFO] Scanning for projects... [INFO] ------------------------------------------------------------------------ [INFO] Building First Hibernate Tutorial [INFO] task-segment: [compile] [INFO] ------------------------------------------------------------------------ [INFO] [resources:resources] [INFO] Using default encoding to copy filtered resources. [INFO] [compiler:compile] [INFO] Compiling 1 source file to /home/steve/projects/sandbox/hibernateTutorial/target/classes [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESSFUL [INFO] ------------------------------------------------------------------------ [INFO] Total time: 2 seconds [INFO] Finished at: Tue Jun 09 12:25:25 CDT 2009 [INFO] Final Memory: 5M/547M [INFO] ------------------------------------------------------------------------
package org.hibernate.tutorial.util; import org.hibernate.SessionFactory; import org.hibernate.cfg.Configuration; public class HibernateUtil { private static final SessionFactory sessionFactory = buildSessionFactory(); private static SessionFactory buildSessionFactory() { try { // Create the SessionFactory from hibernate.cfg.xml return new Configuration().configure().buildSessionFactory(); } catch (Throwable ex) { // Make sure you log the exception, as it might be swallowed System.err.println("Initial SessionFactory creation failed." + ex); throw new ExceptionInInitializerError(ex); } } public static SessionFactory getSessionFactory() { return sessionFactory; } }
Save this code as src/main/java/org/hibernate/tutorial/util/HibernateUtil.java
The tutorial infrastructure is complete and you are now ready to do some real work with Hibernate.
package org.hibernate.tutorial; import org.hibernate.Session; import java.util.*; import org.hibernate.tutorial.domain.Event; import org.hibernate.tutorial.util.HibernateUtil; public class EventManager { public static void main(String[] args) { EventManager mgr = new EventManager(); if (args[0].equals("store")) { mgr.createAndStoreEvent("My Event", new Date()); } HibernateUtil.getSessionFactory().close(); } private void createAndStoreEvent(String title, Date theDate) { Session session = HibernateUtil.getSessionFactory().getCurrentSession(); session.beginTransaction(); Event theEvent = new Event(); theEvent.setTitle(title); theEvent.setDate(theDate); session.save(theEvent); session.getTransaction().commit(); } }
See 11장. Transactions and Concurrency for more information about transaction handling and demarcation. The previous example also skipped any error handling and rollback.
To run this, we will make use of the Maven exec plugin to call our class with the necessary classpath setup:mvn exec:java -Dexec.mainClass="org.hibernate.tutorial.EventManager" -Dexec.args="store"
참고
You may need to perform mvn compile
first.
You should see Hibernate starting up and, depending on your configuration, lots of log output. Towards the end, the following line will be displayed:
[java] Hibernate: insert into EVENTS (EVENT_DATE, title, EVENT_ID) values (?, ?, ?)
This is the INSERT
executed by Hibernate.
To list stored events an option is added to the main method:
if (args[0].equals("store")) { mgr.createAndStoreEvent("My Event", new Date()); } else if (args[0].equals("list")) { List events = mgr.listEvents(); for (int i = 0; i < events.size(); i++) { Event theEvent = (Event) events.get(i); System.out.println( "Event: " + theEvent.getTitle() + " Time: " + theEvent.getDate() ); } }
A new listEvents() method is also added
:
private List listEvents() { Session session = HibernateUtil.getSessionFactory().getCurrentSession(); session.beginTransaction(); List result = session.createQuery("from Event").list(); session.getTransaction().commit(); return result; }
Here, we are using a Hibernate Query Language (HQL) query to load all existing Event
objects from the database. Hibernate will generate the appropriate SQL, send it to the database and populate Event
objects with the data. You can create more complex queries with HQL. See 14장. HQL: 하이버네이트 질의 언어(Hibernate Query Language) for more information.
Now we can call our new functionality, again using the Maven exec plugin:mvn exec:java -Dexec.mainClass="org.hibernate.tutorial.EventManager" -Dexec.args="list"
The first cut of the Person
class looks like this:
package org.hibernate.tutorial.domain; public class Person { private Long id; private int age; private String firstname; private String lastname; public Person() {} // Accessor methods for all properties, private setter for 'id' }
Save this to a file named src/main/java/org/hibernate/tutorial/domain/Person.java
Next, create the new mapping file assrc/main/resources/org/hibernate/tutorial/domain/Person.hbm.xml
<hibernate-mapping package="org.hibernate.tutorial.domain"> <class name="Person" table="PERSON"> <id name="id" column="PERSON_ID"> <generator class="native"/> </id> <property name="age"/> <property name="firstname"/> <property name="lastname"/> </class> </hibernate-mapping>
마지막으로 새로운 매핑을 Hibernate의 구성에 추가하라:
<mapping resource="events/Event.hbm.xml"/> <mapping resource="events/Person.hbm.xml"/>
public class Person { private Set events = new HashSet(); public Set getEvents() { return events; } public void setEvents(Set events) { this.events = events; } }
<class name="Person" table="PERSON"> <id name="id" column="PERSON_ID"> <generator class="native"/> </id> <property name="age"/> <property name="firstname"/> <property name="lastname"/> <set name="events" table="PERSON_EVENT"> <key column="PERSON_ID"/> <many-to-many column="EVENT_ID" class="Event"/> </set> </class>
따라서 이 매핑을 위한 데이터베이스 스키마는 다음과 같다:
_____________ __________________ | | | | _____________ | EVENTS | | PERSON_EVENT | | | |_____________| |__________________| | PERSON | | | | | |_____________| | *EVENT_ID | <--> | *EVENT_ID | | | | EVENT_DATE | | *PERSON_ID | <--> | *PERSON_ID | | TITLE | |__________________| | AGE | |_____________| | FIRSTNAME | | LASTNAME | |_____________|
Now we will bring some people and events together in a new method in EventManager
:
private void addPersonToEvent(Long personId, Long eventId) { Session session = HibernateUtil.getSessionFactory().getCurrentSession(); session.beginTransaction(); Person aPerson = (Person) session.load(Person.class, personId); Event anEvent = (Event) session.load(Event.class, eventId); aPerson.getEvents().add(anEvent); session.getTransaction().commit(); }
private void addPersonToEvent(Long personId, Long eventId) { Session session = HibernateUtil.getSessionFactory().getCurrentSession(); session.beginTransaction(); Person aPerson = (Person) session .createQuery("select p from Person p left join fetch p.events where p.id = :pid") .setParameter("pid", personId) .uniqueResult(); // Eager fetch the collection so we can use it detached Event anEvent = (Event) session.load(Event.class, eventId); session.getTransaction().commit(); // End of first unit of work aPerson.getEvents().add(anEvent); // aPerson (and its collection) is detached // Begin second unit of work Session session2 = HibernateUtil.getSessionFactory().getCurrentSession(); session2.beginTransaction(); session2.update(aPerson); // Reattachment of aPerson session2.getTransaction().commit(); }
else if (args[0].equals("addpersontoevent")) { Long eventId = mgr.createAndStoreEvent("My Event", new Date()); Long personId = mgr.createAndStorePerson("Foo", "Bar"); mgr.addPersonToEvent(personId, eventId); System.out.println("Added person " + personId + " to event " + eventId); }
private Set emailAddresses = new HashSet(); public Set getEmailAddresses() { return emailAddresses; } public void setEmailAddresses(Set emailAddresses) { this.emailAddresses = emailAddresses; }
The mapping of this Set
is as follows:
<set name="emailAddresses" table="PERSON_EMAIL_ADDR"> <key column="PERSON_ID"/> <element type="string" column="EMAIL_ADDR"/> </set>
_____________ __________________ | | | | _____________ | EVENTS | | PERSON_EVENT | | | ___________________ |_____________| |__________________| | PERSON | | | | | | | |_____________| | PERSON_EMAIL_ADDR | | *EVENT_ID | <--> | *EVENT_ID | | | |___________________| | EVENT_DATE | | *PERSON_ID | <--> | *PERSON_ID | <--> | *PERSON_ID | | TITLE | |__________________| | AGE | | *EMAIL_ADDR | |_____________| | FIRSTNAME | |___________________| | LASTNAME | |_____________|
private void addEmailToPerson(Long personId, String emailAddress) { Session session = HibernateUtil.getSessionFactory().getCurrentSession(); session.beginTransaction(); Person aPerson = (Person) session.load(Person.class, personId); // adding to the emailAddress collection might trigger a lazy load of the collection aPerson.getEmailAddresses().add(emailAddress); session.getTransaction().commit(); }
First, add a collection of participants to the Event
class:
private Set participants = new HashSet(); public Set getParticipants() { return participants; } public void setParticipants(Set participants) { this.participants = participants; }
Now map this side of the association in Event.hbm.xml
.
<set name="participants" table="PERSON_EVENT" inverse="true"> <key column="EVENT_ID"/> <many-to-many column="PERSON_ID" class="events.Person"/> </set>
package org.hibernate.tutorial.web; // Imports public class EventManagerServlet extends HttpServlet { protected void doGet( HttpServletRequest request, HttpServletResponse response) throws ServletException, IOException { SimpleDateFormat dateFormatter = new SimpleDateFormat( "dd.MM.yyyy" ); try { // Begin unit of work HibernateUtil.getSessionFactory().getCurrentSession().beginTransaction(); // Process request and render page... // End unit of work HibernateUtil.getSessionFactory().getCurrentSession().getTransaction().commit(); } catch (Exception ex) { HibernateUtil.getSessionFactory().getCurrentSession().getTransaction().rollback(); if ( ServletException.class.isInstance( ex ) ) { throw ( ServletException ) ex; } else { throw new ServletException( ex ); } } } }
Save this servlet as src/main/java/org/hibernate/tutorial/web/EventManagerServlet.java
Now you can implement the processing of the request and the rendering of the page.
// Write HTML header PrintWriter out = response.getWriter(); out.println("<html><head><title>Event Manager</title></head><body>"); // Handle actions if ( "store".equals(request.getParameter("action")) ) { String eventTitle = request.getParameter("eventTitle"); String eventDate = request.getParameter("eventDate"); if ( "".equals(eventTitle) || "".equals(eventDate) ) { out.println("<b><i>Please enter event title and date.</i></b>"); } else { createAndStoreEvent(eventTitle, dateFormatter.parse(eventDate)); out.println("<b><i>Added event.</i></b>"); } } // Print page printEventForm(out); listEvents(out, dateFormatter); // Write HTML footer out.println("</body></html>"); out.flush(); out.close();
private void printEventForm(PrintWriter out) { out.println("<h2>Add new event:</h2>"); out.println("<form>"); out.println("Title: <input name='eventTitle' length='50'/><br/>"); out.println("Date (e.g. 24.12.2009): <input name='eventDate' length='10'/><br/>"); out.println("<input type='submit' name='action' value='store'/>"); out.println("</form>"); }
listEvents()
메소드는 하나의 질의를 실행하기 위해서 현재의 쓰레드에 결합된 Hibernate Session
을 사용한다:
private void listEvents(PrintWriter out, SimpleDateFormat dateFormatter) { List result = HibernateUtil.getSessionFactory() .getCurrentSession().createCriteria(Event.class).list(); if (result.size() > 0) { out.println("<h2>Events in database:</h2>"); out.println("<table border='1'>"); out.println("<tr>"); out.println("<th>Event title</th>"); out.println("<th>Event date</th>"); out.println("</tr>"); Iterator it = result.iterator(); while (it.hasNext()) { Event event = (Event) it.next(); out.println("<tr>"); out.println("<td>" + event.getTitle() + "</td>"); out.println("<td>" + dateFormatter.format(event.getDate()) + "</td>"); out.println("</tr>"); } out.println("</table>"); } }
마지막으로, store
액션은 createAndStoreEvent()
메소드로 디스패치된다. 그것은 현재 쓰레드의 Session
을 사용한다:
protected void createAndStoreEvent(String title, Date theDate) { Event theEvent = new Event(); theEvent.setTitle(title); theEvent.setDate(theDate); HibernateUtil.getSessionFactory() .getCurrentSession().save(theEvent); }
<?xml version="1.0" encoding="UTF-8"?> <web-app version="2.4" xmlns="http://java.sun.com/xml/ns/j2ee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/j2ee http://java.sun.com/xml/ns/j2ee/web-app_2_4.xsd"> <servlet> <servlet-name>Event Manager</servlet-name> <servlet-class>org.hibernate.tutorial.web.EventManagerServlet</servlet-class> </servlet> <servlet-mapping> <servlet-name>Event Manager</servlet-name> <url-pattern>/eventmanager</url-pattern> </servlet-mapping> </web-app>
참고
If you do not have Tomcat installed, download it from http://tomcat.apache.org/ and follow the installation instructions. Our application requires no changes to the standard Tomcat configuration.
일단 배치했고 Tomcat이 실행중이면, http://localhost:8080/hibernate-tutorial/eventmanager
로 어플리케이션에 접근하라. 첫 번째 요청이 당신의 서블릿에 도달할 때 Hibernate가 초기화(HibernateUtil
내에 있는 static initializer가 호출된다) 되는 것을 보기 위해 그리고 만일 어떤 예외상황들이 발생할 경우 상세한 출력을 얻기 위해서 Tomcat 로그를 지켜보도록 하라.
The diagram below provides a high-level view of the Hibernate architecture:
Here are some definitions of the objects depicted in the diagrams:
이들 옵션들에 대한 추가 정보는 JBoss 어플리케이션 서버 사용자 가이드를 참조하라.
Another feature available as a JMX service is runtime Hibernate statistics. See 3.4.6절. “Hibernate 통계”for more information.
The first two implementations provide a "one session - one database transaction" programming model. This is also also known and used as session-per-request. The beginning and end of a Hibernate session is defined by the duration of a database transaction. If you use programmatic transaction demarcation in plain JSE without JTA, you are advised to use the Hibernate Transaction
API to hide the underlying transaction system from your code. If you use JTA, you can utilize the JTA interfaces to demarcate transactions. If you execute in an EJB container that supports CMT, transaction boundaries are defined declaratively and you do not need any transaction or session demarcation operations in your code. Refer to 11장. Transactions and Concurrency for more information and code examples.
The hibernate.current_session_context_class
configuration parameter defines whichorg.hibernate.context.CurrentSessionContext
implementation should be used. For backwards compatibility, if this configuration parameter is not set but a org.hibernate.transaction.TransactionManagerLookup
is configured, Hibernate will use the org.hibernate.context.JTASessionContext
. Typically, the value of this parameter would just name the implementation class to use. For the three out-of-the-box implementations, however, there are three corresponding short names: "jta", "thread", and "managed".
Hibernate is designed to operate in many different environments and, as such, there is a broad range of configuration parameters. Fortunately, most have sensible default values and Hibernate is distributed with an example hibernate.properties
file in etc/
that displays the various options. Simply put the example file in your classpath and customize it to suit your needs.
Configuration cfg = new Configuration() .addResource("Item.hbm.xml") .addResource("Bid.hbm.xml");
Configuration cfg = new Configuration() .addClass(org.hibernate.auction.Item.class) .addClass(org.hibernate.auction.Bid.class);
A org.hibernate.cfg.Configuration
also allows you to specify configuration properties. For example:
Configuration cfg = new Configuration() .addClass(org.hibernate.auction.Item.class) .addClass(org.hibernate.auction.Bid.class) .setProperty("hibernate.dialect", "org.hibernate.dialect.MySQLInnoDBDialect") .setProperty("hibernate.connection.datasource", "java:comp/env/jdbc/test") .setProperty("hibernate.order_updates", "true");
If you want to get started quicklyhibernate.properties
is the easiest approach.
Session session = sessions.openSession(); // open a new Session
Hibernate's own connection pooling algorithm is, however, quite rudimentary. It is intended to help you get started and is not intended for use in a production system, or even for performance testing. You should use a third party pool for best performance and stability. Just replace thehibernate.connection.pool_size property with connection pool specific settings. This will turn off Hibernate's internal pool. For example, you might like to use c3p0.
C3P0 is an open source JDBC connection pool distributed along with Hibernate in the lib
directory. Hibernate will use its org.hibernate.connection.C3P0ConnectionProvider
for connection pooling if you sethibernate.c3p0.* properties. If you would like to use Proxool, refer to the packagedhibernate.properties
and the Hibernate web site for more information.
The following is an example hibernate.properties
file for c3p0:
hibernate.connection.driver_class = org.postgresql.Driver hibernate.connection.url = jdbc:postgresql://localhost/mydatabase hibernate.connection.username = myuser hibernate.connection.password = secret hibernate.c3p0.min_size=5 hibernate.c3p0.max_size=20 hibernate.c3p0.timeout=1800 hibernate.c3p0.max_statements=50 hibernate.dialect = org.hibernate.dialect.PostgreSQLDialect
For use inside an application server, you should almost always configure Hibernate to obtain connections from an application server javax.sql.Datasource
registered in JNDI. You will need to set at least one of the following properties:
표 3.2. Hibernate Datasource Properties
프로퍼티 이름 | 용도 |
---|---|
hibernate.connection.datasource | 데이터소스 JNDI 이름 |
hibernate.jndi.url | URL of the JNDI provider (optional) |
hibernate.jndi.class | class of the JNDI InitialContextFactory (optional) |
hibernate.connection.username | database user (optional) |
hibernate.connection.password | database user password (optional) |
Here is an example hibernate.properties
file for an application server provided JNDI datasource:
hibernate.connection.datasource = java:/comp/env/jdbc/test hibernate.transaction.factory_class = \ org.hibernate.transaction.JTATransactionFactory hibernate.transaction.manager_lookup_class = \ org.hibernate.transaction.JBossTransactionManagerLookup hibernate.dialect = org.hibernate.dialect.PostgreSQLDialect
JNDI datasource로부터 얻어진 JDBC 커넥션들은 어플리케이션 서버의 컨테이너에 의해 관리되는 트랜잭션들에 자동적으로 참여할 것이다.
Arbitrary connection properties can be given by prepending "hibernate.connection
" to the connection property name. For example, you can specify a charSet connection property usinghibernate.connection.charSet.
You can define your own plugin strategy for obtaining JDBC connections by implementing the interfaceorg.hibernate.connection.ConnectionProvider
, and specifying your custom implementation via thehibernate.connection.provider_class property.
주의
Some of these properties are "system-level" only. System-level properties can be set only viajava -Dproperty=value
or hibernate.properties
. They cannot be set by the other techniques described above.표 3.4. Hibernate JDBC 및 커넥션 프로퍼티들
프로퍼티 이름 | 용도 |
---|---|
hibernate.jdbc.fetch_size | A non-zero value determines the JDBC fetch size (callsStatement.setFetchSize() ). |
hibernate.jdbc.batch_size | A non-zero value enables use of JDBC2 batch updates by Hibernate. e.g. recommended values between |
hibernate.jdbc.batch_versioned_data | Set this property to true if your JDBC driver returns correct row counts from executeBatch() . Iit is usually safe to turn this option on. Hibernate will then use batched DML for automatically versioned data. Defaults to false .e.g. |
hibernate.jdbc.factory_class | Select a custom org.hibernate.jdbc.Batcher . Most applications will not need this configuration property.e.g. |
hibernate.jdbc.use_scrollable_resultset | Enables use of JDBC2 scrollable resultsets by Hibernate. This property is only necessary when using user-supplied JDBC connections. Hibernate uses connection metadata otherwise. e.g. |
hibernate.jdbc.use_streams_for_binary | Use streams when writing/reading binary or serializable types to/from JDBC. *system-level property*e.g. |
hibernate.jdbc.use_get_generated_keys | Enables use of JDBC3 PreparedStatement.getGeneratedKeys() to retrieve natively generated keys after insert. Requires JDBC3+ driver and JRE1.4+, set to false if your driver has problems with the Hibernate identifier generators. By default, it tries to determine the driver capabilities using connection metadata.e.g. |
hibernate.connection.provider_class | The classname of a customorg.hibernate.connection.ConnectionProvider which provides JDBC connections to Hibernate.e.g. |
hibernate.connection.isolation | Sets the JDBC transaction isolation level. Checkjava.sql.Connection for meaningful values, but note that most databases do not support all isolation levels and some define additional, non-standard isolations.e.g. |
hibernate.connection.autocommit | Enables autocommit for JDBC pooled connections (it is not recommended). e.g. |
hibernate.connection.release_mode | Specifies when Hibernate should release JDBC connections. By default, a JDBC connection is held until the session is explicitly closed or disconnected. For an application server JTA datasource, use after_statement to aggressively release connections after every JDBC call. For a non-JTA connection, it often makes sense to release the connection at the end of each transaction, by using after_transaction . auto will choose after_statement for the JTA and CMT transaction strategies and after_transaction for the JDBC transaction strategy.e.g. This setting only affects |
hibernate.connection.<propertyName> | Pass the JDBC property <propertyName> toDriverManager.getConnection() . |
hibernate.jndi.<propertyName> | Pass the property <propertyName> to the JNDIInitialContextFactory . |
표 3.5. Hibernate Cache 프로퍼티들
프로퍼티 이름 | 용도 |
---|---|
hibernate.cache.provider_class | The classname of a custom CacheProvider .e.g. |
hibernate.cache.use_minimal_puts | Optimizes second-level cache operation to minimize writes, at the cost of more frequent reads. This setting is most useful for clustered caches and, in Hibernate3, is enabled by default for clustered cache implementations. e.g. |
hibernate.cache.use_query_cache | Enables the query cache. Individual queries still have to be set cachable. e.g. |
hibernate.cache.use_second_level_cache | Can be used to completely disable the second level cache, which is enabled by default for classes which specify a <cache> mapping.e.g. |
hibernate.cache.query_cache_factory | The classname of a custom QueryCache interface, defaults to the built-in StandardQueryCache .e.g. |
hibernate.cache.region_prefix | A prefix to use for second-level cache region names. e.g. |
hibernate.cache.use_structured_entries | Forces Hibernate to store data in the second-level cache in a more human-friendly format. e.g. |
표 3.6. Hibernate 트랜잭션 프로퍼티들
프로퍼티 이름 | 용도 |
---|---|
hibernate.transaction.factory_class | The classname of a TransactionFactory to use with Hibernate Transaction API (defaults toJDBCTransactionFactory ).e.g. |
jta.UserTransaction | A JNDI name used by JTATransactionFactory to obtain the JTA UserTransaction from the application server.e.g. |
hibernate.transaction.manager_lookup_class | The classname of a TransactionManagerLookup . It is required when JVM-level caching is enabled or when using hilo generator in a JTA environment.e.g. |
hibernate.transaction.flush_before_completion | If enabled, the session will be automatically flushed during the before completion phase of the transaction. Built-in and automatic session context management is preferred, see 2.5절. “Contextual sessions”. e.g. |
hibernate.transaction.auto_close_session | If enabled, the session will be automatically closed during the after completion phase of the transaction. Built-in and automatic session context management is preferred, see2.5절. “Contextual sessions”. e.g. |
표 3.7. 여러가지 프로퍼티들
프로퍼티 이름 | 용도 |
---|---|
hibernate.current_session_context_class | Supply a custom strategy for the scoping of the "current"Session . See 2.5절. “Contextual sessions” for more information about the built-in strategies.e.g. |
hibernate.query.factory_class | Chooses the HQL parser implementation. e.g. |
hibernate.query.substitutions | Is used to map from tokens in Hibernate queries to SQL tokens (tokens might be function or literal names, for example). e.g. |
hibernate.hbm2ddl.auto | Automatically validates or exports schema DDL to the database when the SessionFactory is created. With create-drop , the database schema will be dropped when the SessionFactory is closed explicitly.e.g. |
hibernate.cglib.use_reflection_optimizer | Enables the use of CGLIB instead of runtime reflection (System-level property). Reflection can sometimes be useful when troubleshooting. Hibernate always requires CGLIB even if you turn off the optimizer. You cannot set this property inhibernate.cfg.xml .e.g. |
추가 정보는 19.1절. “페칭 방도들”를 보라.
The properties prefixed by hibernate.cache
allow you to use a process or cluster scoped second-level cache system with Hibernate. See the 19.2절. “두번째 레벨 캐시” for more information.
You can define new Hibernate query tokens using hibernate.query.substitutions
. For example:
hibernate.query.substitutions true=1, false=0
hibernate.query.substitutions toLowercase=LOWER
Hibernate utilizes Simple Logging Facade for Java (SLF4J) in order to log various system events. SLF4J can direct your logging output to several logging frameworks (NOP, Simple, log4j version 1.2, JDK 1.4 logging, JCL or logback) depending on your chosen binding. In order to setup logging you will needslf4j-api.jar
in your classpath together with the jar file for your preferred binding - slf4j-log4j12.jar
in the case of Log4J. See the SLF4J documentation for more detail. To use Log4j you will also need to place a log4j.properties
file in your classpath. An example properties file is distributed with Hibernate in thesrc/
directory.
It is recommended that you familiarize yourself with Hibernate's log messages. A lot of work has been put into making the Hibernate log as detailed as possible, without making it unreadable. It is an essential troubleshooting device. The most interesting log categories are the following:
Hibernate로 어플리케이션들을 개발할 때, 당신은 거의 항상 org.hibernate.SQL
카테고리에 대해 이용 가능한 debug
모드로 작업하거나, 다른 방법으로 hibernate.show_sql
프로퍼티를 이용가능하게 하여 작업해야 할 것이다.
org.hibernate.cfg.NamingStrategy
인터페이스는 데이터베이스 객체들과 스키마 요소들에 대한 "네이밍 표준"을 지정하는 것을 당신에게 허용해준다.
SessionFactory sf = new Configuration() .setNamingStrategy(ImprovedNamingStrategy.INSTANCE) .addFile("Item.hbm.xml") .addFile("Bid.hbm.xml") .buildSessionFactory();
org.hibernate.cfg.ImprovedNamingStrategy
는 어떤 어플리케이션들에 대한 유용한 시작점일 수 있는 미리 빌드된 방도이다.
<?xml version='1.0' encoding='utf-8'?> <!DOCTYPE hibernate-configuration PUBLIC "-//Hibernate/Hibernate Configuration DTD//EN" "http://hibernate.sourceforge.net/hibernate-configuration-3.0.dtd"> <hibernate-configuration> <!-- a SessionFactory instance listed as /jndi/name --> <session-factory name="java:hibernate/SessionFactory"> <!-- properties --> <property name="connection.datasource">java:/comp/env/jdbc/MyDB</property> <property name="dialect">org.hibernate.dialect.MySQLDialect</property> <property name="show_sql">false</property> <property name="transaction.factory_class"> org.hibernate.transaction.JTATransactionFactory </property> <property name="jta.UserTransaction">java:comp/UserTransaction</property> <!-- mapping files --> <mapping resource="org/hibernate/auction/Item.hbm.xml"/> <mapping resource="org/hibernate/auction/Bid.hbm.xml"/> <!-- cache settings --> <class-cache class="org.hibernate.auction.Item" usage="read-write"/> <class-cache class="org.hibernate.auction.Bid" usage="read-only"/> <collection-cache collection="org.hibernate.auction.Item.bids" usage="read-write"/> </session-factory> </hibernate-configuration>
With the XML configuration, starting Hibernate is then as simple as:
SessionFactory sf = new Configuration().configure().buildSessionFactory();
You can select a different XML configuration file using:
SessionFactory sf = new Configuration() .configure("catdb.cfg.xml") .buildSessionFactory();
Hibernate는 J2EE 인프라스트럭처에 대한 다음 통합 점들을 갖고 있다:
There are three standard, or built-in, choices:
You can also define your own transaction strategies (for a CORBA transaction service, for example).
The easiest way to handle Sessions
and transactions is Hibernate's automatic "current" Session
management. For a discussion of contextual sessions see 2.5절. “Contextual sessions”. Using the "jta"
session context, if there is no Hibernate Session
associated with the current JTA transaction, one will be started and associated with that JTA transaction the first time you call sessionFactory.getCurrentSession()
. The Session
s retrieved via getCurrentSession()
in the"jta"
context are set to automatically flush before the transaction completes, close after the transaction completes, and aggressively release JDBC connections after each statement. This allows the Session
s to be managed by the life cycle of the JTA transaction to which it is associated, keeping user code clean of such management concerns. Your code can either use JTA programmatically through UserTransaction
, or (recommended for portable code) use the Hibernate Transaction
API to set transaction boundaries. If you run in an EJB container, declarative transaction demarcation with CMT is preferred.
Persistent classes are classes in an application that implement the entities of the business problem (e.g. Customer and Order in an E-commerce application). Not all instances of a persistent class are considered to be in the persistent state. For example, an instance can instead be transient or detached.
Hibernate works best if these classes follow some simple rules, also known as the Plain Old Java Object (POJO) programming model. However, none of these rules are hard requirements. Indeed, Hibernate3 assumes very little about the nature of your persistent objects. You can express a domain model in other ways (using trees of Map
instances, for example).
Most Java applications require a persistent class representing felines. For example:
package eg; import java.util.Set; import java.util.Date; public class Cat { private Long id; // identifier private Date birthdate; private Color color; private char sex; private float weight; private int litterId; private Cat mother; private Set kittens = new HashSet(); private void setId(Long id) { this.id=id; } public Long getId() { return id; } void setBirthdate(Date date) { birthdate = date; } public Date getBirthdate() { return birthdate; } void setWeight(float weight) { this.weight = weight; } public float getWeight() { return weight; } public Color getColor() { return color; } void setColor(Color color) { this.color = color; } void setSex(char sex) { this.sex=sex; } public char getSex() { return sex; } void setLitterId(int id) { this.litterId = id; } public int getLitterId() { return litterId; } void setMother(Cat mother) { this.mother = mother; } public Cat getMother() { return mother; } void setKittens(Set kittens) { this.kittens = kittens; } public Set getKittens() { return kittens; } // addKitten not needed by Hibernate public void addKitten(Cat kitten) { kitten.setMother(this); kitten.setLitterId( kittens.size() ); kittens.add(kitten); } }
The four main rules of persistent classes are explored in more detail in the following sections.
In fact, some functionality is available only to classes that declare an identifier property:
Transitive reattachment for detached objects (cascade update or cascade merge) - see 10.11절. “Transitive persistence(전이 영속)”
Session.saveOrUpdate()
Session.merge()
We recommend that you declare consistently-named identifier properties on persistent classes and that you use a nullable (i.e., non-primitive) type.
Hibernate의 중심 특징인, 프락시(proxies)들은 final이 아닌 영속 클래스들 또는 모두 public 메소드들로 선언된 인터페이스의 구현인 영속 클래스들에 의존한다.
You have to override the equals()
and hashCode()
methods if you:
public class Cat { ... public boolean equals(Object other) { if (this == other) return true; if ( !(other instanceof Cat) ) return false; final Cat cat = (Cat) other; if ( !cat.getLitterId().equals( getLitterId() ) ) return false; if ( !cat.getMother().equals( getMother() ) ) return false; return true; } public int hashCode() { int result; result = getMother().hashCode(); result = 29 * result + getLitterId(); return result; } }
A business key does not have to be as solid as a database primary key candidate (see 11.1.3절. “객체 identity 고려하기”). Immutable or unique properties are usually good candidates for a business key.
By default, Hibernate works in normal POJO mode. You can set a default entity representation mode for a particular SessionFactory
using the default_entity_mode
configuration option (see 표 3.3. “Hibernate 구성 프로퍼티들”).
The following examples demonstrate the representation using Map
s. First, in the mapping file anentity-name
has to be declared instead of, or in addition to, a class name:
<hibernate-mapping> <class entity-name="Customer"> <id name="id" type="long" column="ID"> <generator class="sequence"/> </id> <property name="name" column="NAME" type="string"/> <property name="address" column="ADDRESS" type="string"/> <many-to-one name="organization" column="ORGANIZATION_ID" class="Organization"/> <bag name="orders" inverse="true" lazy="false" cascade="all"> <key column="CUSTOMER_ID"/> <one-to-many class="Order"/> </bag> </class> </hibernate-mapping>
Even though associations are declared using target class names, the target type of associations can also be a dynamic entity instead of a POJO.
After setting the default entity mode to dynamic-map
for the SessionFactory
, you can, at runtime, work with Map
s of Map
s:
Session s = openSession(); Transaction tx = s.beginTransaction(); Session s = openSession(); // Create a customer Map david = new HashMap(); david.put("name", "David"); // Create an organization Map foobar = new HashMap(); foobar.put("name", "Foobar Inc."); // Link both david.put("organization", foobar); // Save both s.save("Customer", david); s.save("Organization", foobar); tx.commit(); s.close();
One of the main advantages of dynamic mapping is quick turnaround time for prototyping, without the need for entity class implementation. However, you lose compile-time type checking and will likely deal with many exceptions at runtime. As a result of the Hibernate mapping, the database schema can easily be normalized and sound, allowing to add a proper domain model implementation on top later on.
엔티티 표현 모드들은 또한 하나의 단위 Session
기준에 대해 설정될 수 있다:
Session dynamicSession = pojoSession.getSession(EntityMode.MAP); // Create a customer Map david = new HashMap(); david.put("name", "David"); dynamicSession.save("Customer", david); ... dynamicSession.flush(); dynamicSession.close() ... // Continue on pojoSession
Please note that the call to getSession()
using an EntityMode
is on the Session
API, not the SessionFactory
. That way, the new Session
shares the underlying JDBC connection, transaction, and other context information. This means you do not have to call flush()
and close()
on the secondary Session
, and also leave the transaction and connection handling to the primary unit of work.
XML 표현 가용성들에 대한 추가 정보는 18장. XML 매핑에서 찾을 수 있다.
/** * A very trivial JDK Proxy InvocationHandler implementation where we proxy an interface as * the domain model and simply store persistent state in an internal Map. This is an extremely * trivial example meant only for illustration. */ public final class DataProxyHandler implements InvocationHandler { private String entityName; private HashMap data = new HashMap(); public DataProxyHandler(String entityName, Serializable id) { this.entityName = entityName; data.put( "Id", id ); } public Object invoke(Object proxy, Method method, Object[] args) throws Throwable { String methodName = method.getName(); if ( methodName.startsWith( "set" ) ) { String propertyName = methodName.substring( 3 ); data.put( propertyName, args[0] ); } else if ( methodName.startsWith( "get" ) ) { String propertyName = methodName.substring( 3 ); return data.get( propertyName ); } else if ( "toString".equals( methodName ) ) { return entityName + "#" + data.get( "Id" ); } else if ( "hashCode".equals( methodName ) ) { return new Integer( this.hashCode() ); } return null; } public String getEntityName() { return entityName; } public HashMap getData() { return data; } } /** * */ public class ProxyHelper { public static String extractEntityName(Object object) { // Our custom java.lang.reflect.Proxy instances actually bundle // their appropriate entity name, so we simply extract it from there // if this represents one of our proxies; otherwise, we return null if ( Proxy.isProxyClass( object.getClass() ) ) { InvocationHandler handler = Proxy.getInvocationHandler( object ); if ( DataProxyHandler.class.isAssignableFrom( handler.getClass() ) ) { DataProxyHandler myHandler = ( DataProxyHandler ) handler; return myHandler.getEntityName(); } } return null; } // various other utility methods .... } /** * The EntityNameResolver implementation. * IMPL NOTE : An EntityNameResolver really defines a strategy for how entity names should be * resolved. Since this particular impl can handle resolution for all of our entities we want to * take advantage of the fact that SessionFactoryImpl keeps these in a Set so that we only ever * have one instance registered. Why? Well, when it comes time to resolve an entity name, * Hibernate must iterate over all the registered resolvers. So keeping that number down * helps that process be as speedy as possible. Hence the equals and hashCode impls */ public class MyEntityNameResolver implements EntityNameResolver { public static final MyEntityNameResolver INSTANCE = new MyEntityNameResolver(); public String resolveEntityName(Object entity) { return ProxyHelper.extractEntityName( entity ); } public boolean equals(Object obj) { return getClass().equals( obj.getClass() ); } public int hashCode() { return getClass().hashCode(); } } public class MyEntityTuplizer extends PojoEntityTuplizer { public MyEntityTuplizer(EntityMetamodel entityMetamodel, PersistentClass mappedEntity) { super( entityMetamodel, mappedEntity ); } public EntityNameResolver[] getEntityNameResolvers() { return new EntityNameResolver[] { MyEntityNameResolver.INSTANCE }; } public String determineConcreteSubclassEntityName(Object entityInstance, SessionFactoryImplementor factory) { String entityName = ProxyHelper.extractEntityName( entityInstance ); if ( entityName == null ) { entityName = super.determineConcreteSubclassEntityName( entityInstance, factory ); } return entityName; } ... }
In order to register an org.hibernate.EntityNameResolver
users must either:
Implement a custom Tuplizer, implementing the
getEntityNameResolvers
method.Register it with the
org.hibernate.impl.SessionFactoryImpl
(which is the implementation class fororg.hibernate.SessionFactory
) using theregisterEntityNameResolver
method.
- 5.1. 매핑 선언
- 5.1.1. Doctype
- 5.1.2. Hibernate-mapping
- 5.1.3. Class
- 5.1.4. id
- 5.1.5. NOT TRANSLATED!Enhanced identifier generators
- 5.1.6. NOT TRANSLATED! Identifier generator optimization
- 5.1.7. composite-id
- 5.1.8. Discriminator
- 5.1.9. Version (optional)
- 5.1.10. Timestamp (optional)
- 5.1.11. Property
- 5.1.12. Many-to-one
- 5.1.13. One-to-one
- 5.1.14. Natural-id
- 5.1.15. Component and dynamic-component
- 5.1.16. Properties
- 5.1.17. Subclass
- 5.1.18. Joined-subclass
- 5.1.19. Union-subclass
- 5.1.20. Join
- 5.1.21. Key
- 5.1.22. Column and formula elements
- 5.1.23. Import
- 5.1.24. Any
- 5.2. Hibernate types
- 5.3. 하나의 클래스를 한 번 이상 매핑하기
- 5.4. SQL 인용부호 표시된 식별자들
- 5.5. Metadata 대안들
- 5.6. Generated properties
- 5.7. Auxiliary database objects
<?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping package="eg"> <class name="Cat" table="cats" discriminator-value="C"> <id name="id"> <generator class="native"/> </id> <discriminator column="subclass" type="character"/> <property name="weight"/> <property name="birthdate" type="date" not-null="true" update="false"/> <property name="color" type="eg.types.ColorUserType" not-null="true" update="false"/> <property name="sex" not-null="true" update="false"/> <property name="litterId" column="litterId" update="false"/> <many-to-one name="mother" column="mother_id" update="false"/> <set name="kittens" inverse="true" order-by="litter_id"> <key column="mother_id"/> <one-to-many class="Cat"/> </set> <subclass name="DomesticCat" discriminator-value="D"> <property name="name" type="string"/> </subclass> </class> <class name="Dog"> <!-- mapping for Dog could go here --> </class> </hibernate-mapping>
We will now discuss the content of the mapping document. We will only describe, however, the document elements and attributes that are used by Hibernate at runtime. The mapping document also contains some extra optional attributes and elements that affect the database schemas exported by the schema export tool (for example, the not-null
attribute).
The following is an example of utilizing user namespacing:
<?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd" [ <!ENTITY types SYSTEM "classpath://your/domain/types.xml"> ]> <hibernate-mapping package="your.domain"> <class name="MyEntity"> <id name="id" type="my-custom-id-type"> ... </id> <class> &types; </hibernate-mapping>
여기서 types.xml
은 your.domain
패키지 내에 있는 리소스이고 맞춤형 5.2.3절. “맞춤형 value 타입들”를 포함한다.
<hibernate-mapping schema="schemaName" catalog="catalogName" default-cascade="cascade_style" default-access="field|property|ClassName" default-lazy="true|false" auto-import="true|false" package="package.name" />
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You can declare a persistent class using the class
element. For example:
<class name="ClassName" table="tableName" discriminator-value="discriminator_value" mutable="true|false" schema="owner" catalog="catalog" proxy="ProxyInterface" dynamic-update="true|false" dynamic-insert="true|false" select-before-update="true|false" polymorphism="implicit|explicit" where="arbitrary sql where condition" persister="PersisterClass" batch-size="N" optimistic-lock="none|version|dirty|all" lazy="true|false" (16) entity-name="EntityName" (17) check="arbitrary sql check condition" (18) rowid="rowid" (19) subselect="SQL expression" (20) abstract="true|false" (21) node="element-name" />
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dynamic-update
를 사용가능하게 할 경우, 당신은 다음 optimistic 잠금 전략들을 선택하게 될 것이다:
<class name="Summary"> <subselect> select item.name, max(bid.amount), count(*) from item join bid on bid.item_id = item.id group by item.name </subselect> <synchronize table="item"/> <synchronize table="bid"/> <id name="name"/> ... </class>
<id name="propertyName" type="typename" column="column_name" unsaved-value="null|any|none|undefined|id_value" access="field|property|ClassName"> node="element-name|@attribute-name|element/@attribute|." <generator class="generatorClass"/> </id>
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name
속성이 누락되면, 클래스는 식별자 프로퍼티를 갖지 않는다고 가정된다.
unsaved-value
속성은 Hibernate3에서는 거의 필요하지 않다.
<id name="id" type="long" column="cat_id"> <generator class="org.hibernate.id.TableHiLoGenerator"> <param name="table">uid_table</param> <param name="column">next_hi_value_column</param> </generator> </id>
increment
동일한 테이블 속으로 데이터를 입력하는 다른 프로세스가 없을 때에만 유일한
long
,short
또는int
타입의 식별자들을 생성시킨다. 클러스터 내에서는 사용하지 말라.identity
DB2, MySQL, MS SQL Server, Sybase, HypersonicSQL에서 식별 컬럼들을 지원한다. 반환되는 식별자는
long
,short
또는int
타입이다.sequence
hilo
seqhilo
명명된 데이터베이스 시퀀스가 주어지면,
long
,short
또는int
타입의 식별자들을 효과적으로 생성시키는데 hi/lo 알고리즘을 사용한다.uuid
guid
native
selects
identity
,sequence
orhilo
depending upon the capabilities of the underlying database.assigned
select
foreign
sequence-identity
<id name="id" type="long" column="cat_id"> <generator class="hilo"> <param name="table">hi_value</param> <param name="column">next_value</param> <param name="max_lo">100</param> </generator> </id>
<id name="id" type="long" column="cat_id"> <generator class="seqhilo"> <param name="sequence">hi_value</param> <param name="max_lo">100</param> </generator> </id>
<id name="id" type="long" column="person_id"> <generator class="sequence"> <param name="sequence">person_id_sequence</param> </generator> </id>
<id name="id" type="long" column="person_id" unsaved-value="0"> <generator class="identity"/> </id>
The second of these new generators is org.hibernate.id.enhanced.TableGenerator
, which is intended, firstly, as a replacement for the table
generator, even though it actually functions much more likeorg.hibernate.id.MultipleHiLoPerTableGenerator
, and secondly, as a re-implementation oforg.hibernate.id.MultipleHiLoPerTableGenerator
that utilizes the notion of pluggable optimizers. Essentially this generator defines a table capable of holding a number of different increment values simultaneously by using multiple distinctly keyed rows. This generator has a number of configuration parameters:
table_name
(optional - defaults tohibernate_sequences
): the name of the table to be used.value_column_name
(optional - defaults tonext_val
): the name of the column on the table that is used to hold the value.segment_column_name
(optional - defaults tosequence_name
): the name of the column on the table that is used to hold the "segment key". This is the value which identifies which increment value to use.segment_value
(optional - defaults todefault
): The "segment key" value for the segment from which we want to pull increment values for this generator.segment_value_length
(optional - defaults to255
): Used for schema generation; the column size to create this segment key column.initial_value
(optional - defaults to1
): The initial value to be retrieved from the table.increment_size
(optional - defaults to1
): The value by which subsequent calls to the table should differ.optimizer
(optional - defaults to): See 5.1.6절. “NOT TRANSLATED! Identifier generator optimization”
For identifier generators that store values in the database, it is inefficient for them to hit the database on each and every call to generate a new identifier value. Instead, you can group a bunch of them in memory and only hit the database when you have exhausted your in-memory value group. This is the role of the pluggable optimizers. Currently only the two enhanced generators (5.1.5절. “NOT TRANSLATED!Enhanced identifier generators” support this operation.
none
(generally this is the default if no optimizer was specified): this will not perform any optimizations and hit the database for each and every request.hilo
: applies a hi/lo algorithm around the database retrieved values. The values from the database for this optimizer are expected to be sequential. The values retrieved from the database structure for this optimizer indicates the "group number". Theincrement_size
is multiplied by that value in memory to define a group "hi value".pooled
: as with the case ofhilo
, this optimizer attempts to minimize the number of hits to the database. Here, however, we simply store the starting value for the "next group" into the database structure rather than a sequential value in combination with an in-memory grouping algorithm. Here,increment_size
refers to the values coming from the database.
<composite-id name="propertyName" class="ClassName" mapped="true|false" access="field|property|ClassName"> node="element-name|." <key-property name="propertyName" type="typename" column="column_name"/> <key-many-to-one name="propertyName class="ClassName" column="column_name"/> ...... </composite-id>
A table with a composite key can be mapped with multiple properties of the class as identifier properties. The
<composite-id>
element accepts <key-property>
property mappings and <key-many-to-one>
mappings as child elements.
<composite-id> <key-property name="medicareNumber"/> <key-property name="dependent"/> </composite-id>
The persistent class must override
equals()
and hashCode()
to implement composite identifier equality. It must also implement Serializable
.
Unfortunately, this approach means that a persistent object is its own identifier. There is no convenient "handle" other than the object itself. You must instantiate an instance of the persistent class itself and populate its identifier properties before you can
load()
the persistent state associated with a composite key. We call this approach an embedded composite identifier, and discourage it for serious applications.
두 번째 접근법은 우리가 mapped composite 식별자라고 부르는 것인데, 여기서
<composite-id>
요소 내에 명명된 여기서 식별자 프로퍼티들은 영속 클래스와 별도의 식별자 클래스 양자 상에 중복된다.
<composite-id class="MedicareId" mapped="true"> <key-property name="medicareNumber"/> <key-property name="dependent"/> </composite-id>
In this example, both the composite identifier class,
MedicareId
, and the entity class itself have properties named medicareNumber
and dependent
. The identifier class must override equals()
and hashCode()
and implement Serializable
. The main disadvantage of this approach is code duplication.
다음 속성들은 매핑된 composite 식별자를 지정하는데 사용된다:
mapped
(optional - defaults tofalse
): indicates that a mapped composite identifier is used, and that the contained property mappings refer to both the entity class and the composite identifier class.class
(optional - but required for a mapped composite identifier): the class used as a composite identifier.
We will describe a third, even more convenient approach, where the composite identifier is implemented as a component class in 8.4절. “composite 식별자들로서 컴포넌트들”. The attributes described below apply only to this alternative approach:
name
(optional - required for this approach): a property of component type that holds the composite identifier. Please see chapter 9 for more information.access
(optional - defaults toproperty
): the strategy Hibernate uses for accessing the property value.class
(optional - defaults to the property type determined by reflection): the component class used as a composite identifier. Please see the next section for more information.
The third approach, an identifier component, is recommended for almost all applications.
The
<discriminator>
element is required for polymorphic persistence using the table-per-class-hierarchy mapping strategy. It declares a discriminator column of the table. The discriminator column contains marker values that tell the persistence layer what subclass to instantiate for a particular row. A restricted set of types can be used: string
, character
, integer
, byte
, short
, boolean
, yes_no
, true_false
.
<discriminator column="discriminator_column" type="discriminator_type" force="true|false" insert="true|false" formula="arbitrary sql expression" />
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discriminator 컬럼의 실제 값들은
<class>
요소와 <subclass>
요소의 discriminator-value
속성에 의해 지정된다.
The
force
attribute is only useful if the table contains rows with "extra" discriminator values that are not mapped to a persistent class. This will not usually be the case.
The
formula
attribute allows you to declare an arbitrary SQL expression that will be used to evaluate the type of a row. For example:
<discriminator formula="case when CLASS_TYPE in ('a', 'b', 'c') then 0 else 1 end" type="integer"/>
The
<version>
element is optional and indicates that the table contains versioned data. This is particularly useful if you plan to use long transactions. See below for more information:
<version column="version_column" name="propertyName" type="typename" access="field|property|ClassName" unsaved-value="null|negative|undefined" generated="never|always" insert="true|false" node="element-name|@attribute-name|element/@attribute|." />
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Version numbers can be of Hibernate type
long
, integer
, short
, timestamp
or calendar
.
A version or timestamp property should never be null for a detached instance. Hibernate will detect any instance with a null version or timestamp as transient, irrespective of what other
unsaved-value
strategies are specified. Declaring a nullable version or timestamp property is an easy way to avoid problems with transitive reattachment in Hibernate. It is especially useful for people using assigned identifiers or composite keys.
The optional
<timestamp>
element indicates that the table contains timestamped data. This provides an alternative to versioning. Timestamps are a less safe implementation of optimistic locking. However, sometimes the application might use the timestamps in other ways.
<timestamp column="timestamp_column" name="propertyName" access="field|property|ClassName" unsaved-value="null|undefined" source="vm|db" generated="never|always" node="element-name|@attribute-name|element/@attribute|." />
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The
<property>
element declares a persistent JavaBean style property of the class.
<property name="propertyName" column="column_name" type="typename" update="true|false" insert="true|false" formula="arbitrary SQL expression" access="field|property|ClassName" lazy="true|false" unique="true|false" not-null="true|false" optimistic-lock="true|false" generated="never|insert|always" node="element-name|@attribute-name|element/@attribute|." index="index_name" unique_key="unique_key_id" length="L" precision="P" scale="S" />
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typename은 다음일 수 있다:
The name of a Hibernate basic type:
integer, string, character, date, timestamp, float, binary, serializable, object, blob
etc.The name of a Java class with a default basic type:
int, float, char, java.lang.String, java.util.Date, java.lang.Integer, java.sql.Clob
etc.serializable Java 클래스의 이름.
The class name of a custom type:
com.illflow.type.MyCustomType
etc.
If you do not specify a type, Hibernate will use reflection upon the named property and guess the correct Hibernate type. Hibernate will attempt to interpret the name of the return class of the property getter using, in order, rules 2, 3, and 4. In certain cases you will need the
type
attribute. For example, to distinguish between Hibernate.DATE
and Hibernate.TIMESTAMP
, or to specify a custom type.
The
access
attribute allows you to control how Hibernate accesses the property at runtime. By default, Hibernate will call the property get/set pair. If you specify access="field"
, Hibernate will bypass the get/set pair and access the field directly using reflection. You can specify your own strategy for property access by naming a class that implements the interface org.hibernate.property.PropertyAccessor
.
A powerful feature is derived properties. These properties are by definition read-only. The property value is computed at load time. You declare the computation as an SQL expression. This then translates to a
SELECT
clause subquery in the SQL query that loads an instance:
<property name="totalPrice" formula="( SELECT SUM (li.quantity*p.price) FROM LineItem li, Product p WHERE li.productId = p.productId AND li.customerId = customerId AND li.orderNumber = orderNumber )"/>
You can reference the entity table by not declaring an alias on a particular column. This would be
customerId
in the given example. You can also use the nested <formula>
mapping element if you do not want to use the attribute.
An ordinary association to another persistent class is declared using a
many-to-one
element. The relational model is a many-to-one association; a foreign key in one table is referencing the primary key column(s) of the target table.
<many-to-one name="propertyName" column="column_name" class="ClassName" cascade="cascade_style" fetch="join|select" update="true|false" insert="true|false" property-ref="propertyNameFromAssociatedClass" access="field|property|ClassName" unique="true|false" not-null="true|false" optimistic-lock="true|false" lazy="proxy|no-proxy|false" not-found="ignore|exception" entity-name="EntityName" formula="arbitrary SQL expression" node="element-name|@attribute-name|element/@attribute|." embed-xml="true|false" index="index_name" unique_key="unique_key_id" foreign-key="foreign_key_name" />
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Setting a value of the
cascade
attribute to any meaningful value other than none
will propagate certain operations to the associated object. The meaningful values are divided into three categories. First, basic operations, which include: persist, merge, delete, save-update, evict, replicate, lock and refresh
; second, special values: delete-orphan
; and third,all
comma-separated combinations of operation names: cascade="persist,merge,evict"
or cascade="all,delete-orphan"
. See 10.11절. “Transitive persistence(전이 영속)” for a full explanation. Note that single valued, many-to-one and one-to-one, associations do not support orphan delete.
Here is an example of a typical
many-to-one
declaration:
<many-to-one name="product" class="Product" column="PRODUCT_ID"/>
The
property-ref
attribute should only be used for mapping legacy data where a foreign key refers to a unique key of the associated table other than the primary key. This is a complicated and confusing relational model. For example, if the Product
class had a unique serial number that is not the primary key. The unique
attribute controls Hibernate's DDL generation with the SchemaExport tool.
<property name="serialNumber" unique="true" type="string" column="SERIAL_NUMBER"/>
그런 다음
OrderItem
에 대한 매핑은 다음을 사용할 것이다:
<many-to-one name="product" property-ref="serialNumber" column="PRODUCT_SERIAL_NUMBER"/>
This is not encouraged, however.
만일 참조된 유일 키가 연관된 엔티티의 여러 프로퍼티들을 포함할 경우, 당신은 명명된
<properties>
요소 내부에 참조된 프로퍼티들을 매핑할 것이다.
If the referenced unique key is the property of a component, you can specify a property path:
<many-to-one name="owner" property-ref="identity.ssn" column="OWNER_SSN"/>
또 다른 영속 클래스에 대한 one-to-one 연관관계는
one-to-one
요소를 사용하여 선언된다.
<one-to-one name="propertyName" class="ClassName" cascade="cascade_style" constrained="true|false" fetch="join|select" property-ref="propertyNameFromAssociatedClass" access="field|property|ClassName" formula="any SQL expression" lazy="proxy|no-proxy|false" entity-name="EntityName" node="element-name|@attribute-name|element/@attribute|." embed-xml="true|false" foreign-key="foreign_key_name" />
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There are two varieties of one-to-one associations:
프라이머리 키 연관관계들
유일 foreign 키 연관관계들
Primary key associations do not need an extra table column. If two rows are related by the association, then the two table rows share the same primary key value. To relate two objects by a primary key association, ensure that they are assigned the same identifier value.
For a primary key association, add the following mappings to
Employee
and Person
respectively:
<one-to-one name="person" class="Person"/>
<one-to-one name="employee" class="Employee" constrained="true"/>
Ensure that the primary keys of the related rows in the PERSON and EMPLOYEE tables are equal. You use a special Hibernate identifier generation strategy called
foreign
:
<class name="person" table="PERSON"> <id name="id" column="PERSON_ID"> <generator class="foreign"> <param name="property">employee</param> </generator> </id> ... <one-to-one name="employee" class="Employee" constrained="true"/> </class>
A newly saved instance of
Person
is assigned the same primary key value as the Employee
instance referred with the employee
property of that Person
.
Alternatively, a foreign key with a unique constraint, from
Employee
to Person
, can be expressed as:
<many-to-one name="person" class="Person" column="PERSON_ID" unique="true"/>
This association can be made bidirectional by adding the following to the
Person
mapping:
<one-to-one name="employee" class="Employee" property-ref="person"/>
<natural-id mutable="true|false"/> <property ... /> <many-to-one ... /> ...... </natural-id>
Although we recommend the use of surrogate keys as primary keys, you should try to identify natural keys for all entities. A natural key is a property or combination of properties that is unique and non-null. It is also immutable. Map the properties of the natural key inside the
<natural-id>
element. Hibernate will generate the necessary unique key and nullability constraints and, as a result, your mapping will be more self-documenting.
It is recommended that you implement
equals()
and hashCode()
to compare the natural key properties of the entity.
This mapping is not intended for use with entities that have natural primary keys.
mutable
(optional - defaults tofalse
): by default, natural identifier properties are assumed to be immutable (constant).
The
<component>
element maps properties of a child object to columns of the table of a parent class. Components can, in turn, declare their own properties, components or collections. See the "Component" examples below:
<component name="propertyName" class="className" insert="true|false" update="true|false" access="field|property|ClassName" lazy="true|false" optimistic-lock="true|false" unique="true|false" node="element-name|." > <property ...../> <many-to-one .... /> ........ </component>
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자식
<property>
태그들은 자식 클래스의 프로퍼티들을 테이블 컬럼들로 매핑시킨다.
<component>
요소는 컴포넌트 클래스의 프로퍼티를 포함하는 엔티티에 대한 참조로서 매핑시키는 <parent>
서브요소를 허용한다.
The
<dynamic-component>
element allows a Map
to be mapped as a component, where the property names refer to keys of the map. See 8.5절. “동적인 컴포넌트들” for more information.
The
<properties>
element allows the definition of a named, logical grouping of the properties of a class. The most important use of the construct is that it allows a combination of properties to be the target of a property-ref
. It is also a convenient way to define a multi-column unique constraint. For example:
<properties name="logicalName" insert="true|false" update="true|false" optimistic-lock="true|false" unique="true|false" > <property ...../> <many-to-one .... /> ........ </properties>
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예를 들어, 만일 우리가 다음
<properties>
매핑을 가질 경우:
<class name="Person"> <id name="personNumber"/> ... <properties name="name" unique="true" update="false"> <property name="firstName"/> <property name="initial"/> <property name="lastName"/> </properties> </class>
You might have some legacy data association that refers to this unique key of the
Person
table, instead of to the primary key:
<many-to-one name="person" class="Person" property-ref="name"> <column name="firstName"/> <column name="initial"/> <column name="lastName"/> </many-to-one>
The use of this outside the context of mapping legacy data is not recommended.
Polymorphic persistence requires the declaration of each subclass of the root persistent class. For the table-per-class-hierarchy mapping strategy, the
<subclass>
declaration is used. For example:
<subclass name="ClassName" discriminator-value="discriminator_value" proxy="ProxyInterface" lazy="true|false" dynamic-update="true|false" dynamic-insert="true|false" entity-name="EntityName" node="element-name" extends="SuperclassName"> <property .... /> ..... </subclass>
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Each subclass declares its own persistent properties and subclasses.
<version>
and <id>
properties are assumed to be inherited from the root class. Each subclass in a hierarchy must define a unique discriminator-value
. If this is not specified, the fully qualified Java class name is used.
For information about inheritance mappings see 9장. Inheritance mapping.
Each subclass can also be mapped to its own table. This is called the table-per-subclass mapping strategy. An inherited state is retrieved by joining with the table of the superclass. To do this you use the
<joined-subclass>
element. For example:
<joined-subclass name="ClassName" table="tablename" proxy="ProxyInterface" lazy="true|false" dynamic-update="true|false" dynamic-insert="true|false" schema="schema" catalog="catalog" extends="SuperclassName" persister="ClassName" subselect="SQL expression" entity-name="EntityName" node="element-name"> <key .... > <property .... /> ..... </joined-subclass>
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A discriminator column is not required for this mapping strategy. Each subclass must, however, declare a table column holding the object identifier using the
<key>
element. The mapping at the start of the chapter would then be re-written as:
<?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping package="eg"> <class name="Cat" table="CATS"> <id name="id" column="uid" type="long"> <generator class="hilo"/> </id> <property name="birthdate" type="date"/> <property name="color" not-null="true"/> <property name="sex" not-null="true"/> <property name="weight"/> <many-to-one name="mate"/> <set name="kittens"> <key column="MOTHER"/> <one-to-many class="Cat"/> </set> <joined-subclass name="DomesticCat" table="DOMESTIC_CATS"> <key column="CAT"/> <property name="name" type="string"/> </joined-subclass> </class> <class name="eg.Dog"> <!-- mapping for Dog could go here --> </class> </hibernate-mapping>
For information about inheritance mappings see 9장. Inheritance mapping.
A third option is to map only the concrete classes of an inheritance hierarchy to tables. This is called the table-per-concrete-class strategy. Each table defines all persistent states of the class, including the inherited state. In Hibernate, it is not necessary to explicitly map such inheritance hierarchies. You can map each class with a separate
<class>
declaration. However, if you wish use polymorphic associations (e.g. an association to the superclass of your hierarchy), you need to use the <union-subclass>
mapping. For example:
<union-subclass name="ClassName" table="tablename" proxy="ProxyInterface" lazy="true|false" dynamic-update="true|false" dynamic-insert="true|false" schema="schema" catalog="catalog" extends="SuperclassName" abstract="true|false" persister="ClassName" subselect="SQL expression" entity-name="EntityName" node="element-name"> <property .... /> ..... </union-subclass>
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이 매핑 방도에는 판별자 컬럼이나 키 컬럼이 필요하지 않다.
For information about inheritance mappings see 9장. Inheritance mapping.
Using the
<join>
element, it is possible to map properties of one class to several tables that have a one-to-one relationship. For example:
<join table="tablename" schema="owner" catalog="catalog" fetch="join|select" inverse="true|false" optional="true|false"> <key ... /> <property ... /> ... </join>
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For example, address information for a person can be mapped to a separate table while preserving value type semantics for all properties:
<class name="Person" table="PERSON"> <id name="id" column="PERSON_ID">...</id> <join table="ADDRESS"> <key column="ADDRESS_ID"/> <property name="address"/> <property name="zip"/> <property name="country"/> </join> ...
This feature is often only useful for legacy data models. We recommend fewer tables than classes and a fine-grained domain model. However, it is useful for switching between inheritance mapping strategies in a single hierarchy, as explained later.
The
<key>
element has featured a few times within this guide. It appears anywhere the parent mapping element defines a join to a new table that references the primary key of the original table. It also defines the foreign key in the joined table:
<key column="columnname" on-delete="noaction|cascade" property-ref="propertyName" not-null="true|false" update="true|false" unique="true|false" />
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For systems where delete performance is important, we recommend that all keys should be defined
on-delete="cascade"
. Hibernate uses a database-level ON CASCADE DELETE
constraint, instead of many individual DELETE
statements. Be aware that this feature bypasses Hibernate's usual optimistic locking strategy for versioned data.
The
not-null
and update
attributes are useful when mapping a unidirectional one-to-many association. If you map a unidirectional one-to-many association to a non-nullable foreign key, you must declare the key column using <key not-null="true">
.
Mapping elements which accept a
column
attribute will alternatively accept a <column>
subelement. Likewise, <formula>
is an alternative to the formula
attribute. For example:
<column name="column_name" length="N" precision="N" scale="N" not-null="true|false" unique="true|false" unique-key="multicolumn_unique_key_name" index="index_name" sql-type="sql_type_name" check="SQL expression" default="SQL expression"/>
<formula>SQL expression</formula>
column
and formula
attributes can even be combined within the same property or association mapping to express, for example, exotic join conditions.
<many-to-one name="homeAddress" class="Address" insert="false" update="false"> <column name="person_id" not-null="true" length="10"/> <formula>'MAILING'</formula> </many-to-one>
If your application has two persistent classes with the same name, and you do not want to specify the fully qualified package name in Hibernate queries, classes can be "imported" explicitly, rather than relying upon
auto-import="true"
. You can also import classes and interfaces that are not explicitly mapped:
<import class="java.lang.Object" rename="Universe"/>
<import class="ClassName" rename="ShortName" />
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There is one more type of property mapping. The
<any>
mapping element defines a polymorphic association to classes from multiple tables. This type of mapping requires more than one column. The first column contains the type of the associated entity. The remaining columns contain the identifier. It is impossible to specify a foreign key constraint for this kind of association. This is not the usual way of mapping polymorphic associations and you should use this only in special cases. For example, for audit logs, user session data, etc.
The
meta-type
attribute allows the application to specify a custom type that maps database column values to persistent classes that have identifier properties of the type specified by id-type
. You must specify the mapping from values of the meta-type to class names.
<any name="being" id-type="long" meta-type="string"> <meta-value value="TBL_ANIMAL" class="Animal"/> <meta-value value="TBL_HUMAN" class="Human"/> <meta-value value="TBL_ALIEN" class="Alien"/> <column name="table_name"/> <column name="id"/> </any>
<any name="propertyName" id-type="idtypename" meta-type="metatypename" cascade="cascade_style" access="field|property|ClassName" optimistic-lock="true|false" > <meta-value ... /> <meta-value ... /> ..... <column .... /> <column .... /> ..... </any>
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In relation to the persistence service, Java language-level objects are classified into two groups:
An entity exists independently of any other objects holding references to the entity. Contrast this with the usual Java model, where an unreferenced object is garbage collected. Entities must be explicitly saved and deleted. Saves and deletions, however, can be cascaded from a parent entity to its children. This is different from the ODMG model of object persistence by reachability and corresponds more closely to how application objects are usually used in large systems. Entities support circular and shared references. They can also be versioned.
An entity's persistent state consists of references to other entities and instances of value types. Values are primitives: collections (not what is inside a collection), components and certain immutable objects. Unlike entities, values in particular collections and components, are persisted and deleted by reachability. Since value objects and primitives are persisted and deleted along with their containing entity, they cannot be independently versioned. Values have no independent identity, so they cannot be shared by two entities or collections.
Until now, we have been using the term "persistent class" to refer to entities. We will continue to do that. Not all user-defined classes with a persistent state, however, are entities. A component is a user-defined class with value semantics. A Java property of type
java.lang.String
also has value semantics. Given this definition, all types (classes) provided by the JDK have value type semantics in Java, while user-defined types can be mapped with entity or value type semantics. This decision is up to the application developer. An entity class in a domain model will normally have shared references to a single instance of that class, while composition or aggregation usually translates to a value type.
We will revisit both concepts throughout this reference guide.
The challenge is to map the Java type system, and the developers' definition of entities and value types, to the SQL/database type system. The bridge between both systems is provided by Hibernate. For entities,
<class>
, <subclass>
and so on are used. For value types we use <property>
, <component>
etc., that usually have a type
attribute. The value of this attribute is the name of a Hibernate mapping type. Hibernate provides a range of mappings for standard JDK value types out of the box. You can write your own mapping types and implement your own custom conversion strategies.
With the exception of collections, all built-in Hibernate types support null semantics.
The built-in basic mapping types can be roughly categorized into the following:
integer, long, short, float, double, character, byte, boolean, yes_no, true_false
자바 원시타입들이나 wrapper 클래스들로부터 적절한(벤더-지정적인) SQL 컬럼 타입들로의 타입 매핑.
boolean, yes_no
와true_false
는 Javaboolean
이나java.lang.Boolean
에 대한 모든 대체적인 인코딩들이다.string
java.lang.String
으로부터VARCHAR
(또는 OracleVARCHAR2
)로의 타입 매핑.date, time, timestamp
java.util.Date
와 그것의 서브클래스로부터 SQL 타입들인DATE
,TIME
,TIMESTAMP
(또는 등가물)로의 타입 매핑들.calendar, calendar_date
java.util.Calendar
로부터 SQL 타입들인TIMESTAMP
,DATE
(또는 등가물)로의 타입 매핑들.big_decimal, big_integer
java.math.BigDecimal
과java.math.BigInteger
로부터NUMERIC
(또는 OracleNUMBER
)로의 타입 매핑들.locale, timezone, currency
java.util.Locale
,java.util.TimeZone
, 그리고java.util.Currency
로부터VARCHAR
(또는 OracleVARCHAR2
)로의 타입 매핑.Locale
과Currency
의 인스턴스들은 그것들의 ISO 코드들로 매핑된다.TimeZone
의 인스턴스들은 그것들의ID
로 매핑된다.class
java.lang.Class
로부터VARCHAR
(또는 OracleVARCHAR2
)로의 타입 매핑.Class
는 그것의 전체 수식어가 붙은 이름으로 매핑된다.binary
byte 배열들을 적절한 SQL binary 타입으로 매핑시킨다.
text
long Java 문자열을 SQL
CLOB
또는TEXT
타입으로 매핑시킨다serializable
Maps serializable Java types to an appropriate SQL binary type. You can also indicate the Hibernate type
serializable
with the name of a serializable Java class or interface that does not default to a basic type.clob, blob
Type mappings for the JDBC classes
java.sql.Clob
andjava.sql.Blob
. These types can be inconvenient for some applications, since the blob or clob object cannot be reused outside of a transaction. Driver support is patchy and inconsistent.imm_date, imm_time, imm_timestamp, imm_calendar, imm_calendar_date, imm_serializable, imm_binary
Type mappings for what are considered mutable Java types. This is where Hibernate makes certain optimizations appropriate only for immutable Java types, and the application treats the object as immutable. For example, you should not call
Date.setTime()
for an instance mapped asimm_timestamp
. To change the value of the property, and have that change made persistent, the application must assign a new, nonidentical, object to the property.
Unique identifiers of entities and collections can be of any basic type except
binary
, blob
and clob
. Composite identifiers are also allowed. See below for more information.
기본 value 타입들은
org.hibernate.Hibernate
에 정의되어 있는 대응하는 Type
상수들을 갖는다. 예를 들어, Hibernate.STRING
은 string
타입을 표현한다.
It is relatively easy for developers to create their own value types. For example, you might want to persist properties of type
java.lang.BigInteger
to VARCHAR
columns. Hibernate does not provide a built-in type for this. Custom types are not limited to mapping a property, or collection element, to a single table column. So, for example, you might have a Java property getName()
/setName()
of type java.lang.String
that is persisted to the columns FIRST_NAME
, INITIAL
, SURNAME
.
To implement a custom type, implement either
org.hibernate.UserType
or org.hibernate.CompositeUserType
and declare properties using the fully qualified classname of the type. View org.hibernate.test.DoubleStringType
to see the kind of things that are possible.
<property name="twoStrings" type="org.hibernate.test.DoubleStringType"> <column name="first_string"/> <column name="second_string"/> </property>
하나의 프로퍼티를 여러 개의 컬럼들로 매핑시키는
<column>
태그의 사용을 주목하라.
CompositeUserType
, EnhancedUserType
, UserCollectionType
, 그리고 UserVersionType
인터페이스들은 더 많은 특화된 사용들을 위한 지원을 제공한다.
You can even supply parameters to a
UserType
in the mapping file. To do this, your UserType
must implement the org.hibernate.usertype.ParameterizedType
interface. To supply parameters to your custom type, you can use the <type>
element in your mapping files.
<property name="priority"> <type name="com.mycompany.usertypes.DefaultValueIntegerType"> <param name="default">0</param> </type> </property>
UserType
은 이제 그것에 전달된 Properties
객체로부터 default
로 명명된 파라미터에 대한 값을 검색할 수 있다.
If you regularly use a certain
UserType
, it is useful to define a shorter name for it. You can do this using the <typedef>
element. Typedefs assign a name to a custom type, and can also contain a list of default parameter values if the type is parameterized.
<typedef class="com.mycompany.usertypes.DefaultValueIntegerType" name="default_zero"> <param name="default">0</param> </typedef>
<property name="priority" type="default_zero"/>
property 매핑 상에 type 파라미터들을 사용함으로써 경우에 맞게 typedef 내에 제공된 파라미터들을 오버라이드 시키는 것이 가능하다.
Even though Hibernate's rich range of built-in types and support for components means you will rarely need to use a custom type, it is considered good practice to use custom types for non-entity classes that occur frequently in your application. For example, a
MonetaryAmount
class is a good candidate for a CompositeUserType
, even though it could be mapped as a component. One reason for this is abstraction. With a custom type, your mapping documents would be protected against changes to the way monetary values are represented.
It is possible to provide more than one mapping for a particular persistent class. In this case, you must specify an entity name to disambiguate between instances of the two mapped entities. By default, the entity name is the same as the class name. Hibernate lets you specify the entity name when working with persistent objects, when writing queries, or when mapping associations to the named entity.
<class name="Contract" table="Contracts" entity-name="CurrentContract"> ... <set name="history" inverse="true" order-by="effectiveEndDate desc"> <key column="currentContractId"/> <one-to-many entity-name="HistoricalContract"/> </set> </class> <class name="Contract" table="ContractHistory" entity-name="HistoricalContract"> ... <many-to-one name="currentContract" column="currentContractId" entity-name="CurrentContract"/> </class>
Associations are now specified using
entity-name
instead of class
.
You can force Hibernate to quote an identifier in the generated SQL by enclosing the table or column name in backticks in the mapping document. Hibernate will use the correct quotation style for the SQL
Dialect
. This is usually double quotes, but the SQL Server uses brackets and MySQL uses backticks.
<class name="LineItem" table="`Line Item`"> <id name="id" column="`Item Id`"/><generator class="assigned"/></id> <property name="itemNumber" column="`Item #`"/> ... </class>
XML does not suit all users so there are some alternative ways to define O/R mapping metadata in Hibernate.
Many Hibernate users prefer to embed mapping information directly in sourcecode using XDoclet
@hibernate.tags
. We do not cover this approach in this reference guide since it is considered part of XDoclet. However, we include the following example of the Cat
class with XDoclet mappings:
package eg; import java.util.Set; import java.util.Date; /** * @hibernate.class * table="CATS" */ public class Cat { private Long id; // identifier private Date birthdate; private Cat mother; private Set kittens private Color color; private char sex; private float weight; /* * @hibernate.id * generator-class="native" * column="CAT_ID" */ public Long getId() { return id; } private void setId(Long id) { this.id=id; } /** * @hibernate.many-to-one * column="PARENT_ID" */ public Cat getMother() { return mother; } void setMother(Cat mother) { this.mother = mother; } /** * @hibernate.property * column="BIRTH_DATE" */ public Date getBirthdate() { return birthdate; } void setBirthdate(Date date) { birthdate = date; } /** * @hibernate.property * column="WEIGHT" */ public float getWeight() { return weight; } void setWeight(float weight) { this.weight = weight; } /** * @hibernate.property * column="COLOR" * not-null="true" */ public Color getColor() { return color; } void setColor(Color color) { this.color = color; } /** * @hibernate.set * inverse="true" * order-by="BIRTH_DATE" * @hibernate.collection-key * column="PARENT_ID" * @hibernate.collection-one-to-many */ public Set getKittens() { return kittens; } void setKittens(Set kittens) { this.kittens = kittens; } // addKitten not needed by Hibernate public void addKitten(Cat kitten) { kittens.add(kitten); } /** * @hibernate.property * column="SEX" * not-null="true" * update="false" */ public char getSex() { return sex; } void setSex(char sex) { this.sex=sex; } }
See the Hibernate website for more examples of XDoclet and Hibernate.
JDK 5.0 introduced XDoclet-style annotations at the language level that are type-safe and checked at compile time. This mechanism is more powerful than XDoclet annotations and better supported by tools and IDEs. IntelliJ IDEA, for example, supports auto-completion and syntax highlighting of JDK 5.0 annotations. The new revision of the EJB specification (JSR-220) uses JDK 5.0 annotations as the primary metadata mechanism for entity beans. Hibernate3 implements the
EntityManager
of JSR-220 (the persistence API). Support for mapping metadata is available via the Hibernate Annotations package as a separate download. Both EJB3 (JSR-220) and Hibernate3 metadata is supported.
다음은 EJB 엔티티 빈으로서 주석이 붙은 POJO 클래스에 관한 예제이다:
@Entity(access = AccessType.FIELD) public class Customer implements Serializable { @Id; Long id; String firstName; String lastName; Date birthday; @Transient Integer age; @Embedded private Address homeAddress; @OneToMany(cascade=CascadeType.ALL) @JoinColumn(name="CUSTOMER_ID") Set<Order> orders; // Getter/setter and business methods }
Generated properties are properties that have their values generated by the database. Typically, Hibernate applications needed to
refresh
objects that contain any properties for which the database was generating values. Marking properties as generated, however, lets the application delegate this responsibility to Hibernate. When Hibernate issues an SQL INSERT or UPDATE for an entity that has defined generated properties, it immediately issues a select afterwards to retrieve the generated values.
Properties marked as generated must additionally be non-insertable and non-updateable. Only versions, timestamps, and simple properties, can be marked as generated.
never
(the default): the given property value is not generated within the database.
insert
: the given property value is generated on insert, but is not regenerated on subsequent updates. Properties like created-date fall into this category. Even though version and timestamp properties can be marked as generated, this option is not available.
always
: the property value is generated both on insert and on update.
Auxiliary database objects allow for the CREATE and DROP of arbitrary database objects. In conjunction with Hibernate's schema evolution tools, they have the ability to fully define a user schema within the Hibernate mapping files. Although designed specifically for creating and dropping things like triggers or stored procedures, any SQL command that can be run via a
java.sql.Statement.execute()
method is valid (for example, ALTERs, INSERTS, etc.). There are essentially two modes for defining auxiliary database objects:
The first mode is to explicitly list the CREATE and DROP commands in the mapping file:
<hibernate-mapping> ... <database-object> <create>CREATE TRIGGER my_trigger ...</create> <drop>DROP TRIGGER my_trigger</drop> </database-object> </hibernate-mapping>
The second mode is to supply a custom class that constructs the CREATE and DROP commands. This custom class must implement the
org.hibernate.mapping.AuxiliaryDatabaseObject
interface.
<hibernate-mapping> ... <database-object> <definition class="MyTriggerDefinition"/> </database-object> </hibernate-mapping>
Additionally, these database objects can be optionally scoped so that they only apply when certain dialects are used.
<hibernate-mapping> ... <database-object> <definition class="MyTriggerDefinition"/> <dialect-scope name="org.hibernate.dialect.Oracle9iDialect"/> <dialect-scope name="org.hibernate.dialect.Oracle10gDialect"/> </database-object> </hibernate-mapping>
Hibernate requires that persistent collection-valued fields be declared as an interface type. For example:
public class Product { private String serialNumber; private Set parts = new HashSet(); public Set getParts() { return parts; } void setParts(Set parts) { this.parts = parts; } public String getSerialNumber() { return serialNumber; } void setSerialNumber(String sn) { serialNumber = sn; } }
The actual interface might be
java.util.Set
, java.util.Collection
, java.util.List
, java.util.Map
, java.util.SortedSet
, java.util.SortedMap
or anything you like ("anything you like" means you will have to write an implementation of org.hibernate.usertype.UserCollectionType
.)
Notice how the instance variable was initialized with an instance of
HashSet
. This is the best way to initialize collection valued properties of newly instantiated (non-persistent) instances. When you make the instance persistent, by calling persist()
for example, Hibernate will actually replace the HashSet
with an instance of Hibernate's own implementation of Set
. Be aware of the following errors:
Cat cat = new DomesticCat(); Cat kitten = new DomesticCat(); .... Set kittens = new HashSet(); kittens.add(kitten); cat.setKittens(kittens); session.persist(cat); kittens = cat.getKittens(); // Okay, kittens collection is a Set (HashSet) cat.getKittens(); // Error!
The persistent collections injected by Hibernate behave like
HashMap
, HashSet
, TreeMap
, TreeSet
or ArrayList
, depending on the interface type.
Collections instances have the usual behavior of value types. They are automatically persisted when referenced by a persistent object and are automatically deleted when unreferenced. If a collection is passed from one persistent object to another, its elements might be moved from one table to another. Two entities cannot share a reference to the same collection instance. Due to the underlying relational model, collection-valued properties do not support null value semantics. Hibernate does not distinguish between a null collection reference and an empty collection.
Use persistent collections the same way you use ordinary Java collections. However, please ensure you understand the semantics of bidirectional associations (these are discussed later).
The Hibernate mapping element used for mapping a collection depends upon the type of interface. For example, a
<set>
element is used for mapping properties of type Set
.
<class name="Product"> <id name="serialNumber" column="productSerialNumber"/> <set name="parts"> <key column="productSerialNumber" not-null="true"/> <one-to-many class="Part"/> </set> </class>
<set>
과는 별도로, 또한 <list>
, <map>
, <bag>
, <array>
, 그리고 <map>
매핑 요소들이 존재한다. <map>
요소가 대표적이다:
<map name="propertyName" table="table_name" schema="schema_name" lazy="true|extra|false" inverse="true|false" cascade="all|none|save-update|delete|all-delete-orphan|delete-orphan" sort="unsorted|natural|comparatorClass" order-by="column_name asc|desc" where="arbitrary sql where condition" fetch="join|select|subselect" batch-size="N" access="field|property|ClassName" optimistic-lock="true|false" mutable="true|false" node="element-name|." embed-xml="true|false" > <key .... /> <map-key .... /> <element .... /> </map>
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Collection instances are distinguished in the database by the foreign key of the entity that owns the collection. This foreign key is referred to as the collection key column, or columns, of the collection table. The collection key column is mapped by the
<key>
element.
There can be a nullability constraint on the foreign key column. For most collections, this is implied. For unidirectional one-to-many associations, the foreign key column is nullable by default, so you may need to specify
not-null="true"
.
<key column="productSerialNumber" not-null="true"/>
The foreign key constraint can use
ON DELETE CASCADE
.
<key column="productSerialNumber" on-delete="cascade"/>
<key>
요소에 대한 전체 정의는 앞 장을 보라.
Collections can contain almost any other Hibernate type, including: basic types, custom types, components and references to other entities. This is an important distinction. An object in a collection might be handled with "value" semantics (its life cycle fully depends on the collection owner), or it might be a reference to another entity with its own life cycle. In the latter case, only the "link" between the two objects is considered to be a state held by the collection.
포함된 타입은 콜렉션 요소 타입으로서 불려진다. 콜렉션 요소들은
<element>
또는 <composite-element>
에 의해 매핑되거나, 엔티티 참조들의 경우에 <one-to-many>
또는 <many-to-many>
로서 매핑된다. 앞의 두 개는 value 의미를 가진 요소들을 매핑시키고, 뒤의 두개는 엔티티 연관들을 매핑하는데 사용된다.
All collection mappings, except those with set and bag semantics, need an index column in the collection table. An index column is a column that maps to an array index, or
List
index, or Map
key. The index of a Map
may be of any basic type, mapped with <map-key>
. It can be an entity reference mapped with <map-key-many-to-many>
, or it can be a composite type mapped with <composite-map-key>
. The index of an array or list is always of type integer
and is mapped using the <list-index>
element. The mapped column contains sequential integers that are numbered from zero by default.
<list-index column="column_name" base="0|1|..."/>
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<map-key column="column_name" formula="any SQL expression" type="type_name" node="@attribute-name" length="N"/>
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<map-key-many-to-many column="column_name" formula="any SQL expression" class="ClassName" />
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If your table does not have an index column, and you still wish to use
List
as the property type, you can map the property as a Hibernate <bag>. A bag does not retain its order when it is retrieved from the database, but it can be optionally sorted or ordered.
Any collection of values or many-to-many associations requires a dedicated collection table with a foreign key column or columns, collection element column or columns, and possibly an index column or columns.
For a collection of values use the
<element>
tag. For example:
<element column="column_name" formula="any SQL expression" type="typename" length="L" precision="P" scale="S" not-null="true|false" unique="true|false" node="element-name" />
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A many-to-many association is specified using the
<many-to-many>
element.
<many-to-many column="column_name" formula="any SQL expression" class="ClassName" fetch="select|join" unique="true|false" not-found="ignore|exception" entity-name="EntityName" property-ref="propertyNameFromAssociatedClass" node="element-name" embed-xml="true|false" />
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Here are some examples.
A set of strings:
<set name="names" table="person_names"> <key column="person_id"/> <element column="person_name" type="string"/> </set>
A bag containing integers with an iteration order determined by the
order-by
attribute:
<bag name="sizes" table="item_sizes" order-by="size asc"> <key column="item_id"/> <element column="size" type="integer"/> </bag>
An array of entities, in this case, a many-to-many association:
<array name="addresses" table="PersonAddress" cascade="persist"> <key column="personId"/> <list-index column="sortOrder"/> <many-to-many column="addressId" class="Address"/> </array>
날짜들에 대한 문자열 인덱스들을 가진 map :
<map name="holidays" table="holidays" schema="dbo" order-by="hol_name asc"> <key column="id"/> <map-key column="hol_name" type="string"/> <element column="hol_date" type="date"/> </map>
A list of components (this is discussed in the next chapter):
<list name="carComponents" table="CarComponents"> <key column="carId"/> <list-index column="sortOrder"/> <composite-element class="CarComponent"> <property name="price"/> <property name="type"/> <property name="serialNumber" column="serialNum"/> </composite-element> </list>
A one-to-many association links the tables of two classes via a foreign key with no intervening collection table. This mapping loses certain semantics of normal Java collections:
An instance of the contained entity class cannot belong to more than one instance of the collection.
An instance of the contained entity class cannot appear at more than one value of the collection index.
An association from
Product
to Part
requires the existence of a foreign key column and possibly an index column to the Part
table. A <one-to-many>
tag indicates that this is a one-to-many association.
<one-to-many class="ClassName" not-found="ignore|exception" entity-name="EntityName" node="element-name" embed-xml="true|false" />
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The
<one-to-many>
element does not need to declare any columns. Nor is it necessary to specify the table
name anywhere.
The following example shows a map of
Part
entities by name, where partName
is a persistent property of Part
. Notice the use of a formula-based index:
<map name="parts" cascade="all"> <key column="productId" not-null="true"/> <map-key formula="partName"/> <one-to-many class="Part"/> </map>
Hibernate는
java.util.SortedMap
과 java.util.SortedSet
를 구현하는 콜렉션들을 지원한다. 당신은 매핑 파일 속에 하나의 comparator를 지정해야 한다:
<set name="aliases" table="person_aliases" sort="natural"> <key column="person"/> <element column="name" type="string"/> </set> <map name="holidays" sort="my.custom.HolidayComparator"> <key column="year_id"/> <map-key column="hol_name" type="string"/> <element column="hol_date" type="date"/> </map>
sort
속성에 허용되는 값들은 unsorted
, natural
, 그리고 java.util.Comparator
를 구현하는 클래스의 이름이다.
Sorted 콜렉션들은
java.util.TreeSet
또는 java.util.TreeMap
처럼 행동한다.
If you want the database itself to order the collection elements, use the
order-by
attribute of set
, bag
or map
mappings. This solution is only available under JDK 1.4 or higher and is implemented using LinkedHashSet
or LinkedHashMap
. This performs the ordering in the SQL query and not in the memory.
<set name="aliases" table="person_aliases" order-by="lower(name) asc"> <key column="person"/> <element column="name" type="string"/> </set> <map name="holidays" order-by="hol_date, hol_name"> <key column="year_id"/> <map-key column="hol_name" type="string"/> <element column="hol_date type="date"/> </map>
Associations can even be sorted by arbitrary criteria at runtime using a collection
filter()
:
sortedUsers = s.createFilter( group.getUsers(), "order by this.name" ).list();
A bidirectional association allows navigation from both "ends" of the association. Two kinds of bidirectional association are supported:
one-to-many
set or bag valued at one end and single-valued at the other
many-to-many
양 끝에서 set 또는 bag 값을 가진 연관
You can specify a bidirectional many-to-many association by mapping two many-to-many associations to the same database table and declaring one end as inverse. You cannot select an indexed collection.
Here is an example of a bidirectional many-to-many association that illustrates how each category can have many items and each item can be in many categories:
<class name="Category"> <id name="id" column="CATEGORY_ID"/> ... <bag name="items" table="CATEGORY_ITEM"> <key column="CATEGORY_ID"/> <many-to-many class="Item" column="ITEM_ID"/> </bag> </class> <class name="Item"> <id name="id" column="ITEM_ID"/> ... <!-- inverse end --> <bag name="categories" table="CATEGORY_ITEM" inverse="true"> <key column="ITEM_ID"/> <many-to-many class="Category" column="CATEGORY_ID"/> </bag> </class>
Changes made only to the inverse end of the association are not persisted. This means that Hibernate has two representations in memory for every bidirectional association: one link from A to B and another link from B to A. This is easier to understand if you think about the Java object model and how a many-to-many relationship in Javais created:
category.getItems().add(item); // The category now "knows" about the relationship item.getCategories().add(category); // The item now "knows" about the relationship session.persist(item); // The relationship won't be saved! session.persist(category); // The relationship will be saved
non-inverse 측은 메모리 내 표상을 데이터베이스로 저장하는데 사용된다.
You can define a bidirectional one-to-many association by mapping a one-to-many association to the same table column(s) as a many-to-one association and declaring the many-valued end
inverse="true"
.
<class name="Parent"> <id name="id" column="parent_id"/> .... <set name="children" inverse="true"> <key column="parent_id"/> <one-to-many class="Child"/> </set> </class> <class name="Child"> <id name="id" column="child_id"/> .... <many-to-one name="parent" class="Parent" column="parent_id" not-null="true"/> </class>
Mapping one end of an association with
inverse="true"
does not affect the operation of cascades as these are orthogonal concepts.
A bidirectional association where one end is represented as a
<list>
or <map>
, requires special consideration. If there is a property of the child class that maps to the index column you can use inverse="true"
on the collection mapping:
<class name="Parent"> <id name="id" column="parent_id"/> .... <map name="children" inverse="true"> <key column="parent_id"/> <map-key column="name" type="string"/> <one-to-many class="Child"/> </map> </class> <class name="Child"> <id name="id" column="child_id"/> .... <property name="name" not-null="true"/> <many-to-one name="parent" class="Parent" column="parent_id" not-null="true"/> </class>
If there is no such property on the child class, the association cannot be considered truly bidirectional. That is, there is information available at one end of the association that is not available at the other end. In this case, you cannot map the collection
inverse="true"
. Instead, you could use the following mapping:
<class name="Parent"> <id name="id" column="parent_id"/> .... <map name="children"> <key column="parent_id" not-null="true"/> <map-key column="name" type="string"/> <one-to-many class="Child"/> </map> </class> <class name="Child"> <id name="id" column="child_id"/> .... <many-to-one name="parent" class="Parent" column="parent_id" insert="false" update="false" not-null="true"/> </class>
Note that in this mapping, the collection-valued end of the association is responsible for updates to the foreign key.
There are three possible approaches to mapping a ternary association. One approach is to use a
Map
with an association as its index:
<map name="contracts"> <key column="employer_id" not-null="true"/> <map-key-many-to-many column="employee_id" class="Employee"/> <one-to-many class="Contract"/> </map>
<map name="connections"> <key column="incoming_node_id"/> <map-key-many-to-many column="outgoing_node_id" class="Node"/> <many-to-many column="connection_id" class="Connection"/> </map>
A second approach is to remodel the association as an entity class. This is the most common approach.
A final alternative is to use composite elements, which will be discussed later.
The majority of the many-to-many associations and collections of values shown previously all map to tables with composite keys, even though it has been have suggested that entities should have synthetic identifiers (surrogate keys). A pure association table does not seem to benefit much from a surrogate key, although a collection of composite values might. It is for this reason that Hibernate provides a feature that allows you to map many-to-many associations and collections of values to a table with a surrogate key.
The
<idbag>
element lets you map a List
(or Collection
) with bag semantics. For example:
<idbag name="lovers" table="LOVERS"> <collection-id column="ID" type="long"> <generator class="sequence"/> </collection-id> <key column="PERSON1"/> <many-to-many column="PERSON2" class="Person" fetch="join"/> </idbag>
An
<idbag>
has a synthetic id generator, just like an entity class. A different surrogate key is assigned to each collection row. Hibernate does not, however, provide any mechanism for discovering the surrogate key value of a particular row.
The update performance of an
<idbag>
supersedes a regular <bag>
. Hibernate can locate individual rows efficiently and update or delete them individually, similar to a list, map or set.
현재 구현에서,
native
식별자 생성 방도는 <idbag>
콜렉션 식별자들에 대해 지원되지 않는다.
This section covers collection examples.
The following class has a collection of
Child
instances:
package eg; import java.util.Set; public class Parent { private long id; private Set children; public long getId() { return id; } private void setId(long id) { this.id=id; } private Set getChildren() { return children; } private void setChildren(Set children) { this.children=children; } .... .... }
If each child has, at most, one parent, the most natural mapping is a one-to-many association:
<hibernate-mapping> <class name="Parent"> <id name="id"> <generator class="sequence"/> </id> <set name="children"> <key column="parent_id"/> <one-to-many class="Child"/> </set> </class> <class name="Child"> <id name="id"> <generator class="sequence"/> </id> <property name="name"/> </class> </hibernate-mapping>
이것은 다음 테이블 정의들로 매핑된다:
create table parent ( id bigint not null primary key ) create table child ( id bigint not null primary key, name varchar(255), parent_id bigint ) alter table child add constraint childfk0 (parent_id) references parent
만일 부모가 필수적이라면, 양방향 one-to-many 연관관계를 사용하라:
<hibernate-mapping> <class name="Parent"> <id name="id"> <generator class="sequence"/> </id> <set name="children" inverse="true"> <key column="parent_id"/> <one-to-many class="Child"/> </set> </class> <class name="Child"> <id name="id"> <generator class="sequence"/> </id> <property name="name"/> <many-to-one name="parent" class="Parent" column="parent_id" not-null="true"/> </class> </hibernate-mapping>
NOT NULL
컨스트레인트를 주목하라:
create table parent ( id bigint not null primary key ) create table child ( id bigint not null primary key, name varchar(255), parent_id bigint not null ) alter table child add constraint childfk0 (parent_id) references parent
Alternatively, if this association must be unidirectional you can declare the
NOT NULL
constraint on the <key>
mapping:
<hibernate-mapping> <class name="Parent"> <id name="id"> <generator class="sequence"/> </id> <set name="children"> <key column="parent_id" not-null="true"/> <one-to-many class="Child"/> </set> </class> <class name="Child"> <id name="id"> <generator class="sequence"/> </id> <property name="name"/> </class> </hibernate-mapping>
On the other hand, if a child has multiple parents, a many-to-many association is appropriate:
<hibernate-mapping> <class name="Parent"> <id name="id"> <generator class="sequence"/> </id> <set name="children" table="childset"> <key column="parent_id"/> <many-to-many class="Child" column="child_id"/> </set> </class> <class name="Child"> <id name="id"> <generator class="sequence"/> </id> <property name="name"/> </class> </hibernate-mapping>
테이블 정의들:
create table parent ( id bigint not null primary key ) create table child ( id bigint not null primary key, name varchar(255) ) create table childset ( parent_id bigint not null, child_id bigint not null, primary key ( parent_id, child_id ) ) alter table childset add constraint childsetfk0 (parent_id) references parent alter table childset add constraint childsetfk1 (child_id) references child
For more examples and a complete explanation of a parent/child relationship mapping, see 21장. 예제: 부모/자식 for more information.
Even more complex association mappings are covered in the next chapter.
Association mappings are often the most difficult thing to implement correctly. In this section we examine some canonical cases one by one, starting with unidirectional mappings and then bidirectional cases. We will use
Person
and Address
in all the examples.
Associations will be classified by multiplicity and whether or not they map to an intervening join table.
Nullable foreign keys are not considered to be good practice in traditional data modelling, so our examples do not use nullable foreign keys. This is not a requirement of Hibernate, and the mappings will work if you drop the nullability constraints.
단방향 many-to-one 연관은 가장 공통적인 종류의 단방향 연관이다.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <many-to-one name="address" column="addressId" not-null="true"/> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key, addressId bigint not null ) create table Address ( addressId bigint not null primary key )
foreign 키에 대한 단방향 one-to-one 연관은 대개 아주 동일하다. 유일한 차이점은 컬럼 유일(unique) 컨스트레인트이다.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <many-to-one name="address" column="addressId" unique="true" not-null="true"/> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key, addressId bigint not null unique ) create table Address ( addressId bigint not null primary key )
A unidirectional one-to-one association on a primary key usually uses a special id generator In this example, however, we have reversed the direction of the association:
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> </class> <class name="Address"> <id name="id" column="personId"> <generator class="foreign"> <param name="property">person</param> </generator> </id> <one-to-one name="person" constrained="true"/> </class>
create table Person ( personId bigint not null primary key ) create table Address ( personId bigint not null primary key )
A unidirectional one-to-many association on a foreign key is an unusual case, and is not recommended.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <set name="addresses"> <key column="personId" not-null="true"/> <one-to-many class="Address"/> </set> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key ) create table Address ( addressId bigint not null primary key, personId bigint not null )
You should instead use a join table for this kind of association.
A unidirectional one-to-many association on a join table is the preferred option. Specifying
unique="true"
, changes the multiplicity from many-to-many to one-to-many.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <set name="addresses" table="PersonAddress"> <key column="personId"/> <many-to-many column="addressId" unique="true" class="Address"/> </set> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId not null, addressId bigint not null primary key ) create table Address ( addressId bigint not null primary key )
A unidirectional many-to-one association on a join table is common when the association is optional. For example:
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <join table="PersonAddress" optional="true"> <key column="personId" unique="true"/> <many-to-one name="address" column="addressId" not-null="true"/> </join> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId bigint not null primary key, addressId bigint not null ) create table Address ( addressId bigint not null primary key )
A unidirectional one-to-one association on a join table is possible, but extremely unusual.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <join table="PersonAddress" optional="true"> <key column="personId" unique="true"/> <many-to-one name="address" column="addressId" not-null="true" unique="true"/> </join> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId bigint not null primary key, addressId bigint not null unique ) create table Address ( addressId bigint not null primary key )
Finally, here is an example of a unidirectional many-to-many association.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <set name="addresses" table="PersonAddress"> <key column="personId"/> <many-to-many column="addressId" class="Address"/> </set> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId bigint not null, addressId bigint not null, primary key (personId, addressId) ) create table Address ( addressId bigint not null primary key )
A bidirectional many-to-one association is the most common kind of association. The following example illustrates the standard parent/child relationship.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <many-to-one name="address" column="addressId" not-null="true"/> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> <set name="people" inverse="true"> <key column="addressId"/> <one-to-many class="Person"/> </set> </class>
create table Person ( personId bigint not null primary key, addressId bigint not null ) create table Address ( addressId bigint not null primary key )
If you use a
List
, or other indexed collection, set the key
column of the foreign key to not null
. Hibernate will manage the association from the collections side to maintain the index of each element, making the other side virtually inverse by setting update="false"
and insert="false"
:
<class name="Person"> <id name="id"/> ... <many-to-one name="address" column="addressId" not-null="true" insert="false" update="false"/> </class> <class name="Address"> <id name="id"/> ... <list name="people"> <key column="addressId" not-null="true"/> <list-index column="peopleIdx"/> <one-to-many class="Person"/> </list> </class>
If the underlying foreign key column is
NOT NULL
, it is important that you define not-null="true"
on the <key>
element of the collection mapping. Do not only declare not-null="true"
on a possible nested <column>
element, but on the <key>
element.
A bidirectional one-to-one association on a foreign key is common:
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <many-to-one name="address" column="addressId" unique="true" not-null="true"/> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> <one-to-one name="person" property-ref="address"/> </class>
create table Person ( personId bigint not null primary key, addressId bigint not null unique ) create table Address ( addressId bigint not null primary key )
A bidirectional one-to-one association on a primary key uses the special id generator:
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <one-to-one name="address"/> </class> <class name="Address"> <id name="id" column="personId"> <generator class="foreign"> <param name="property">person</param> </generator> </id> <one-to-one name="person" constrained="true"/> </class>
create table Person ( personId bigint not null primary key ) create table Address ( personId bigint not null primary key )
The following is an example of a bidirectional one-to-many association on a join table. The
inverse="true"
can go on either end of the association, on the collection, or on the join.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <set name="addresses" table="PersonAddress"> <key column="personId"/> <many-to-many column="addressId" unique="true" class="Address"/> </set> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> <join table="PersonAddress" inverse="true" optional="true"> <key column="addressId"/> <many-to-one name="person" column="personId" not-null="true"/> </join> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId bigint not null, addressId bigint not null primary key ) create table Address ( addressId bigint not null primary key )
A bidirectional one-to-one association on a join table is possible, but extremely unusual.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <join table="PersonAddress" optional="true"> <key column="personId" unique="true"/> <many-to-one name="address" column="addressId" not-null="true" unique="true"/> </join> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> <join table="PersonAddress" optional="true" inverse="true"> <key column="addressId" unique="true"/> <many-to-one name="person" column="personId" not-null="true" unique="true"/> </join> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId bigint not null primary key, addressId bigint not null unique ) create table Address ( addressId bigint not null primary key )
Here is an example of a bidirectional many-to-many association.
<class name="Person"> <id name="id" column="personId"> <generator class="native"/> </id> <set name="addresses" table="PersonAddress"> <key column="personId"/> <many-to-many column="addressId" class="Address"/> </set> </class> <class name="Address"> <id name="id" column="addressId"> <generator class="native"/> </id> <set name="people" inverse="true" table="PersonAddress"> <key column="addressId"/> <many-to-many column="personId" class="Person"/> </set> </class>
create table Person ( personId bigint not null primary key ) create table PersonAddress ( personId bigint not null, addressId bigint not null, primary key (personId, addressId) ) create table Address ( addressId bigint not null primary key )
More complex association joins are extremely rare. Hibernate handles more complex situations by using SQL fragments embedded in the mapping document. For example, if a table with historical account information data defines
accountNumber
, effectiveEndDate
and effectiveStartDate
columns, it would be mapped as follows:
<properties name="currentAccountKey"> <property name="accountNumber" type="string" not-null="true"/> <property name="currentAccount" type="boolean"> <formula>case when effectiveEndDate is null then 1 else 0 end</formula> </property> </properties> <property name="effectiveEndDate" type="date"/> <property name="effectiveStateDate" type="date" not-null="true"/>
You can then map an association to the current instance, the one with null
effectiveEndDate
, by using:
<many-to-one name="currentAccountInfo" property-ref="currentAccountKey" class="AccountInfo"> <column name="accountNumber"/> <formula>'1'</formula> </many-to-one>
In a more complex example, imagine that the association between
Employee
and Organization
is maintained in an Employment
table full of historical employment data. An association to the employee's most recent employer, the one with the most recent startDate
, could be mapped in the following way:
<join> <key column="employeeId"/> <subselect> select employeeId, orgId from Employments group by orgId having startDate = max(startDate) </subselect> <many-to-one name="mostRecentEmployer" class="Organization" column="orgId"/> </join>
This functionality allows a degree of creativity and flexibility, but it is more practical to handle these kinds of cases using HQL or a criteria query.
The notion of a component is re-used in several different contexts and purposes throughout Hibernate.
A component is a contained object that is persisted as a value type and not an entity reference. The term "component" refers to the object-oriented notion of composition and not to architecture-level components. For example, you can model a person like this:
public class Person { private java.util.Date birthday; private Name name; private String key; public String getKey() { return key; } private void setKey(String key) { this.key=key; } public java.util.Date getBirthday() { return birthday; } public void setBirthday(java.util.Date birthday) { this.birthday = birthday; } public Name getName() { return name; } public void setName(Name name) { this.name = name; } ...... ...... }
public class Name { char initial; String first; String last; public String getFirst() { return first; } void setFirst(String first) { this.first = first; } public String getLast() { return last; } void setLast(String last) { this.last = last; } public char getInitial() { return initial; } void setInitial(char initial) { this.initial = initial; } }
Now
Name
can be persisted as a component of Person
. Name
defines getter and setter methods for its persistent properties, but it does not need to declare any interfaces or identifier properties.
Our Hibernate mapping would look like this:
<class name="eg.Person" table="person"> <id name="Key" column="pid" type="string"> <generator class="uuid"/> </id> <property name="birthday" type="date"/> <component name="Name" class="eg.Name"> <!-- class attribute optional --> <property name="initial"/> <property name="first"/> <property name="last"/> </component> </class>
person 테이블은
pid
, birthday
, initial
, first
, last
컬럼들을 가질 것이다.
Like value types, components do not support shared references. In other words, two persons could have the same name, but the two person objects would contain two independent name objects that were only "the same" by value. The null value semantics of a component are ad hoc. When reloading the containing object, Hibernate will assume that if all component columns are null, then the entire component is null. This is suitable for most purposes.
The properties of a component can be of any Hibernate type (collections, many-to-one associations, other components, etc). Nested components should not be considered an exotic usage. Hibernate is intended to support a fine-grained object model.
<component>
요소는 컴포넌트 클래스의 프로퍼티를 포함되는 엔티티에 대한 역 참조로서 매핑시키는 <parent>
서브요소를 허용한다.
<class name="eg.Person" table="person"> <id name="Key" column="pid" type="string"> <generator class="uuid"/> </id> <property name="birthday" type="date"/> <component name="Name" class="eg.Name" unique="true"> <parent name="namedPerson"/> <!-- reference back to the Person --> <property name="initial"/> <property name="first"/> <property name="last"/> </component> </class>
Collections of components are supported (e.g. an array of type
Name
). Declare your component collection by replacing the <element>
tag with a <composite-element>
tag:
<set name="someNames" table="some_names" lazy="true"> <key column="id"/> <composite-element class="eg.Name"> <!-- class attribute required --> <property name="initial"/> <property name="first"/> <property name="last"/> </composite-element> </set>
Composite elements can contain components but not collections. If your composite element contains components, use the
<nested-composite-element>
tag. This case is a collection of components which themselves have components. You may want to consider if a one-to-many association is more appropriate. Remodel the composite element as an entity, but be aware that even though the Java model is the same, the relational model and persistence semantics are still slightly different.
A composite element mapping does not support null-able properties if you are using a
<set>
. There is no separate primary key column in the composite element table. Hibernate uses each column's value to identify a record when deleting objects, which is not possible with null values. You have to either use only not-null properties in a composite-element or choose a <list>
, <map>
, <bag>
or <idbag>
.
A special case of a composite element is a composite element with a nested
<many-to-one>
element. This mapping allows you to map extra columns of a many-to-many association table to the composite element class. The following is a many-to-many association from Order
to Item
, where purchaseDate
, price
and quantity
are properties of the association:
<class name="eg.Order" .... > .... <set name="purchasedItems" table="purchase_items" lazy="true"> <key column="order_id"> <composite-element class="eg.Purchase"> <property name="purchaseDate"/> <property name="price"/> <property name="quantity"/> <many-to-one name="item" class="eg.Item"/> <!-- class attribute is optional --> </composite-element> </set> </class>
There cannot be a reference to the purchase on the other side for bidirectional association navigation. Components are value types and do not allow shared references. A single
Purchase
can be in the set of an Order
, but it cannot be referenced by the Item
at the same time.
심지어 세겹의(또는 네 겹의, 기타) 연관들이 가능하다:
<class name="eg.Order" .... > .... <set name="purchasedItems" table="purchase_items" lazy="true"> <key column="order_id"> <composite-element class="eg.OrderLine"> <many-to-one name="purchaseDetails class="eg.Purchase"/> <many-to-one name="item" class="eg.Item"/> </composite-element> </set> </class>
Composite elements can appear in queries using the same syntax as associations to other entities.
The
<composite-map-key>
element allows you to map a component class as the key of a Map
. Ensure that you override hashCode()
and equals()
correctly on the component class.
You can use a component as an identifier of an entity class. Your component class must satisfy certain requirements:
그것은
java.io.Serializable
을 구현해야 한다.It must re-implement
equals()
andhashCode()
consistently with the database's notion of composite key equality.
You cannot use an
IdentifierGenerator
to generate composite keys. Instead the application must assign its own identifiers.
Use the
<composite-id>
tag, with nested <key-property>
elements, in place of the usual <id>
declaration. For example, the OrderLine
class has a primary key that depends upon the (composite) primary key of Order
.
<class name="OrderLine"> <composite-id name="id" class="OrderLineId"> <key-property name="lineId"/> <key-property name="orderId"/> <key-property name="customerId"/> </composite-id> <property name="name"/> <many-to-one name="order" class="Order" insert="false" update="false"> <column name="orderId"/> <column name="customerId"/> </many-to-one> .... </class>
Any foreign keys referencing the
OrderLine
table are now composite. Declare this in your mappings for other classes. An association to OrderLine
is mapped like this:
<many-to-one name="orderLine" class="OrderLine"> <!-- the "class" attribute is optional, as usual --> <column name="lineId"/> <column name="orderId"/> <column name="customerId"/> </many-to-one>
OrderLine
에 대한 many-to-many
연관은 또한 composite foreign 키를 사용한다:
<set name="undeliveredOrderLines"> <key column name="warehouseId"/> <many-to-many class="OrderLine"> <column name="lineId"/> <column name="orderId"/> <column name="customerId"/> </many-to-many> </set>
Order
에서 OrderLine
들의 콜렉션이 사용될 것이다:
<set name="orderLines" inverse="true"> <key> <column name="orderId"/> <column name="customerId"/> </key> <one-to-many class="OrderLine"/> </set>
The
<one-to-many>
element declares no columns.
만일
OrderLine
자체가 하나의 콜렉션을 소유할 경우, 그것은 또한 하나의 composite foreign 키를 갖는다.
<class name="OrderLine"> .... .... <list name="deliveryAttempts"> <key> <!-- a collection inherits the composite key type --> <column name="lineId"/> <column name="orderId"/> <column name="customerId"/> </key> <list-index column="attemptId" base="1"/> <composite-element class="DeliveryAttempt"> ... </composite-element> </set> </class>
You can also map a property of type
Map
:
<dynamic-component name="userAttributes"> <property name="foo" column="FOO" type="string"/> <property name="bar" column="BAR" type="integer"/> <many-to-one name="baz" class="Baz" column="BAZ_ID"/> </dynamic-component>
The semantics of a
<dynamic-component>
mapping are identical to <component>
. The advantage of this kind of mapping is the ability to determine the actual properties of the bean at deployment time just by editing the mapping document. Runtime manipulation of the mapping document is also possible, using a DOM parser. You can also access, and change, Hibernate's configuration-time metamodel via the Configuration
object.
Hibernate는 세 가지 기본적인 상속 매핑 방도들을 지원한다:
table per class hierarchy
table per subclass
table per concrete class
게다가 Hibernate는 네 번째의 약간 다른 종류의 다형성을 지원한다:
implicit polymorphism(함축적인 다형성)
It is possible to use different mapping strategies for different branches of the same inheritance hierarchy. You can then make use of implicit polymorphism to achieve polymorphism across the whole hierarchy. However, Hibernate does not support mixing
<subclass>
, <joined-subclass>
and <union-subclass>
mappings under the same root <class>
element. It is possible to mix together the table per hierarchy and table per subclass strategies under the the same <class>
element, by combining the <subclass>
and <join>
elements (see below for an example).
It is possible to define
subclass
, union-subclass
, and joined-subclass
mappings in separate mapping documents directly beneath hibernate-mapping
. This allows you to extend a class hierarchy by adding a new mapping file. You must specify an extends
attribute in the subclass mapping, naming a previously mapped superclass. Previously this feature made the ordering of the mapping documents important. Since Hibernate3, the ordering of mapping files is irrelevant when using the extends keyword. The ordering inside a single mapping file still needs to be defined as superclasses before subclasses.
<hibernate-mapping> <subclass name="DomesticCat" extends="Cat" discriminator-value="D"> <property name="name" type="string"/> </subclass> </hibernate-mapping>
Suppose we have an interface
Payment
with the implementors CreditCardPayment
, CashPayment
, and ChequePayment
. The table per hierarchy mapping would display in the following way:
<class name="Payment" table="PAYMENT"> <id name="id" type="long" column="PAYMENT_ID"> <generator class="native"/> </id> <discriminator column="PAYMENT_TYPE" type="string"/> <property name="amount" column="AMOUNT"/> ... <subclass name="CreditCardPayment" discriminator-value="CREDIT"> <property name="creditCardType" column="CCTYPE"/> ... </subclass> <subclass name="CashPayment" discriminator-value="CASH"> ... </subclass> <subclass name="ChequePayment" discriminator-value="CHEQUE"> ... </subclass> </class>
Exactly one table is required. There is a limitation of this mapping strategy: columns declared by the subclasses, such as
CCTYPE
, cannot have NOT NULL
constraints.
A table per subclass mapping looks like this:
<class name="Payment" table="PAYMENT"> <id name="id" type="long" column="PAYMENT_ID"> <generator class="native"/> </id> <property name="amount" column="AMOUNT"/> ... <joined-subclass name="CreditCardPayment" table="CREDIT_PAYMENT"> <key column="PAYMENT_ID"/> <property name="creditCardType" column="CCTYPE"/> ... </joined-subclass> <joined-subclass name="CashPayment" table="CASH_PAYMENT"> <key column="PAYMENT_ID"/> ... </joined-subclass> <joined-subclass name="ChequePayment" table="CHEQUE_PAYMENT"> <key column="PAYMENT_ID"/> ... </joined-subclass> </class>
Four tables are required. The three subclass tables have primary key associations to the superclass table so the relational model is actually a one-to-one association.
Hibernate's implementation of table per subclass does not require a discriminator column. Other object/relational mappers use a different implementation of table per subclass that requires a type discriminator column in the superclass table. The approach taken by Hibernate is much more difficult to implement, but arguably more correct from a relational point of view. If you want to use a discriminator column with the table per subclass strategy, you can combine the use of
<subclass>
and <join>
, as follows:
<class name="Payment" table="PAYMENT"> <id name="id" type="long" column="PAYMENT_ID"> <generator class="native"/> </id> <discriminator column="PAYMENT_TYPE" type="string"/> <property name="amount" column="AMOUNT"/> ... <subclass name="CreditCardPayment" discriminator-value="CREDIT"> <join table="CREDIT_PAYMENT"> <key column="PAYMENT_ID"/> <property name="creditCardType" column="CCTYPE"/> ... </join> </subclass> <subclass name="CashPayment" discriminator-value="CASH"> <join table="CASH_PAYMENT"> <key column="PAYMENT_ID"/> ... </join> </subclass> <subclass name="ChequePayment" discriminator-value="CHEQUE"> <join table="CHEQUE_PAYMENT" fetch="select"> <key column="PAYMENT_ID"/> ... </join> </subclass> </class>
선택적인
fetch="select"
선언은 슈퍼클래스를 질의할 때 outer join을 사용하여 ChequePayment
서브클래스 데이터를 페치시키지 않도록 Hibernate에게 알려준다.
You can even mix the table per hierarchy and table per subclass strategies using the following approach:
<class name="Payment" table="PAYMENT"> <id name="id" type="long" column="PAYMENT_ID"> <generator class="native"/> </id> <discriminator column="PAYMENT_TYPE" type="string"/> <property name="amount" column="AMOUNT"/> ... <subclass name="CreditCardPayment" discriminator-value="CREDIT"> <join table="CREDIT_PAYMENT"> <property name="creditCardType" column="CCTYPE"/> ... </join> </subclass> <subclass name="CashPayment" discriminator-value="CASH"> ... </subclass> <subclass name="ChequePayment" discriminator-value="CHEQUE"> ... </subclass> </class>
이들 매핑 방도들 중 어떤 것에 대해, 루트
Payment
클래스에 대한 하나의 다형성 연관은 <many-to-one>
을 사용하여 매핑된다.
<many-to-one name="payment" column="PAYMENT_ID" class="Payment"/>
There are two ways we can map the table per concrete class strategy. First, you can use
<union-subclass>
.
<class name="Payment"> <id name="id" type="long" column="PAYMENT_ID"> <generator class="sequence"/> </id> <property name="amount" column="AMOUNT"/> ... <union-subclass name="CreditCardPayment" table="CREDIT_PAYMENT"> <property name="creditCardType" column="CCTYPE"/> ... </union-subclass> <union-subclass name="CashPayment" table="CASH_PAYMENT"> ... </union-subclass> <union-subclass name="ChequePayment" table="CHEQUE_PAYMENT"> ... </union-subclass> </class>
세 개의 테이블들이 슈퍼클래스들에 대해 수반된다. 각각의 테이블은 상속된 프로퍼티들을 포함하여, 그 클래스의 모든 프로퍼티들에 대한 컬럼들을 정의한다.
The limitation of this approach is that if a property is mapped on the superclass, the column name must be the same on all subclass tables. The identity generator strategy is not allowed in union subclass inheritance. The primary key seed has to be shared across all unioned subclasses of a hierarchy.
If your superclass is abstract, map it with
abstract="true"
. If it is not abstract, an additional table (it defaults to PAYMENT
in the example above), is needed to hold instances of the superclass.
대안적인 접근법은 함축적인 다형성을 사용하는 것이다:
<class name="CreditCardPayment" table="CREDIT_PAYMENT"> <id name="id" type="long" column="CREDIT_PAYMENT_ID"> <generator class="native"/> </id> <property name="amount" column="CREDIT_AMOUNT"/> ... </class> <class name="CashPayment" table="CASH_PAYMENT"> <id name="id" type="long" column="CASH_PAYMENT_ID"> <generator class="native"/> </id> <property name="amount" column="CASH_AMOUNT"/> ... </class> <class name="ChequePayment" table="CHEQUE_PAYMENT"> <id name="id" type="long" column="CHEQUE_PAYMENT_ID"> <generator class="native"/> </id> <property name="amount" column="CHEQUE_AMOUNT"/> ... </class>
Notice that the
Payment
interface is not mentioned explicitly. Also notice that properties of Payment
are mapped in each of the subclasses. If you want to avoid duplication, consider using XML entities (for example, [ <!ENTITY allproperties SYSTEM "allproperties.xml"> ]
in the DOCTYPE
declaration and &allproperties;
in the mapping).
이 접근법의 단점은 다형성 질의들을 수행할 때 Hibernate가 생성된 SQl
UNION
들을 생성시키는 않는다는 점이다.
이 매핑 방도의 경우,
Payment
에 대한 하나의 다형성 연관은 대개 <any>
를 사용하여 매핑된다.
<any name="payment" meta-type="string" id-type="long"> <meta-value value="CREDIT" class="CreditCardPayment"/> <meta-value value="CASH" class="CashPayment"/> <meta-value value="CHEQUE" class="ChequePayment"/> <column name="PAYMENT_CLASS"/> <column name="PAYMENT_ID"/> </any>
Since the subclasses are each mapped in their own
<class>
element, and since Payment
is just an interface), each of the subclasses could easily be part of another inheritance hierarchy. You can still use polymorphic queries against the Payment
interface.
<class name="CreditCardPayment" table="CREDIT_PAYMENT"> <id name="id" type="long" column="CREDIT_PAYMENT_ID"> <generator class="native"/> </id> <discriminator column="CREDIT_CARD" type="string"/> <property name="amount" column="CREDIT_AMOUNT"/> ... <subclass name="MasterCardPayment" discriminator-value="MDC"/> <subclass name="VisaPayment" discriminator-value="VISA"/> </class> <class name="NonelectronicTransaction" table="NONELECTRONIC_TXN"> <id name="id" type="long" column="TXN_ID"> <generator class="native"/> </id> ... <joined-subclass name="CashPayment" table="CASH_PAYMENT"> <key column="PAYMENT_ID"/> <property name="amount" column="CASH_AMOUNT"/> ... </joined-subclass> <joined-subclass name="ChequePayment" table="CHEQUE_PAYMENT"> <key column="PAYMENT_ID"/> <property name="amount" column="CHEQUE_AMOUNT"/> ... </joined-subclass> </class>
Once again,
Payment
is not mentioned explicitly. If we execute a query against the Payment
interface, for example from Payment
, Hibernate automatically returns instances of CreditCardPayment
(and its subclasses, since they also implement Payment
), CashPayment
and ChequePayment
, but not instances of NonelectronicTransaction
.
There are limitations to the "implicit polymorphism" approach to the table per concrete-class mapping strategy. There are somewhat less restrictive limitations to
<union-subclass>
mappings.
다음 표는 Hibernate에서 table per concrete-class 매핑들에 대한 제약들, 그리고 함축적인 다형성에 대한 제약들을 보여준다.
Hibernate is a full object/relational mapping solution that not only shields the developer from the details of the underlying database management system, but also offers state management of objects. This is, contrary to the management of SQL
statements
in common JDBC/SQL persistence layers, a natural object-oriented view of persistence in Java applications.
달리 말해, Hibernate 어플리케이션 개발자들은 그들의 객체들의 상태에 대해 항상 생각해야 하고, SQL 문장들의 실행에 대해서는 필수적이지 않다. 이 부분은 Hibernate에 의해 처리되고 시스템의 퍼포먼스를 튜닝할 때 어플리케이션 개발자와 유일하게 관련된다.
Hibernate 다음 객체 상태들을 정의하고 지원한다:
Transient - an object is transient if it has just been instantiated using the
new
operator, and it is not associated with a HibernateSession
. It has no persistent representation in the database and no identifier value has been assigned. Transient instances will be destroyed by the garbage collector if the application does not hold a reference anymore. Use the HibernateSession
to make an object persistent (and let Hibernate take care of the SQL statements that need to be executed for this transition).Persistent - a persistent instance has a representation in the database and an identifier value. It might just have been saved or loaded, however, it is by definition in the scope of a
Session
. Hibernate will detect any changes made to an object in persistent state and synchronize the state with the database when the unit of work completes. Developers do not execute manualUPDATE
statements, orDELETE
statements when an object should be made transient.Detached - a detached instance is an object that has been persistent, but its
Session
has been closed. The reference to the object is still valid, of course, and the detached instance might even be modified in this state. A detached instance can be reattached to a newSession
at a later point in time, making it (and all the modifications) persistent again. This feature enables a programming model for long running units of work that require user think-time. We call them application transactions, i.e., a unit of work from the point of view of the user.
We will now discuss the states and state transitions (and the Hibernate methods that trigger a transition) in more detail.
하나의 영속 클래스의 새로이 초기화 된 인스턴스들은 Hibernate에 의해 transient로 간주된다. 우리는 그것을 세션과 연관지어서 transient 인스턴스를 영속화 시킬 수 있다:
DomesticCat fritz = new DomesticCat(); fritz.setColor(Color.GINGER); fritz.setSex('M'); fritz.setName("Fritz"); Long generatedId = (Long) sess.save(fritz);
If
Cat
has a generated identifier, the identifier is generated and assigned to the cat
when save()
is called. If Cat
has an assigned
identifier, or a composite key, the identifier should be assigned to the cat
instance before calling save()
. You can also use persist()
instead of save()
, with the semantics defined in the EJB3 early draft.
persist()
makes a transient instance persistent. However, it does not guarantee that the identifier value will be assigned to the persistent instance immediately, the assignment might happen at flush time.persist()
also guarantees that it will not execute anINSERT
statement if it is called outside of transaction boundaries. This is useful in long-running conversations with an extended Session/persistence context.save()
does guarantee to return an identifier. If an INSERT has to be executed to get the identifier ( e.g. "identity" generator, not "sequence"), this INSERT happens immediately, no matter if you are inside or outside of a transaction. This is problematic in a long-running conversation with an extended Session/persistence context.
Alternatively, you can assign the identifier using an overloaded version of
save()
.
DomesticCat pk = new DomesticCat(); pk.setColor(Color.TABBY); pk.setSex('F'); pk.setName("PK"); pk.setKittens( new HashSet() ); pk.addKitten(fritz); sess.save( pk, new Long(1234) );
If the object you make persistent has associated objects (e.g. the
kittens
collection in the previous example), these objects can be made persistent in any order you like unless you have a NOT NULL
constraint upon a foreign key column. There is never a risk of violating foreign key constraints. However, you might violate a NOT NULL
constraint if you save()
the objects in the wrong order.
Usually you do not bother with this detail, as you will normally use Hibernate's transitive persistence feature to save the associated objects automatically. Then, even
NOT NULL
constraint violations do not occur - Hibernate will take care of everything. Transitive persistence is discussed later in this chapter.
The
load()
methods of Session
provide a way of retrieving a persistent instance if you know its identifier. load()
takes a class object and loads the state into a newly instantiated instance of that class in a persistent state.
Cat fritz = (Cat) sess.load(Cat.class, generatedId);
// you need to wrap primitive identifiers long id = 1234; DomesticCat pk = (DomesticCat) sess.load( DomesticCat.class, new Long(id) );
다른 방법으로 당신은 주어진 인스턴스 속으로 상태를 로드시킬 수 있다:
Cat cat = new DomesticCat(); // load pk's state into cat sess.load( cat, new Long(pkId) ); Set kittens = cat.getKittens();
Be aware that
load()
will throw an unrecoverable exception if there is no matching database row. If the class is mapped with a proxy, load()
just returns an uninitialized proxy and does not actually hit the database until you invoke a method of the proxy. This is useful if you wish to create an association to an object without actually loading it from the database. It also allows multiple instances to be loaded as a batch if batch-size
is defined for the class mapping.
If you are not certain that a matching row exists, you should use the
get()
method which hits the database immediately and returns null if there is no matching row.
Cat cat = (Cat) sess.get(Cat.class, id); if (cat==null) { cat = new Cat(); sess.save(cat, id); } return cat;
You can even load an object using an SQL
SELECT ... FOR UPDATE
, using a LockMode
. See the API documentation for more information.
Cat cat = (Cat) sess.get(Cat.class, id, LockMode.UPGRADE);
Any associated instances or contained collections will not be selected
FOR UPDATE
, unless you decide to specify lock
or all
as a cascade style for the association.
refresh()
메소드를 사용하여, 아무때나 하나의 객체와 모든 그것의 콜렉션들을 다시 로드시키는 것이 가능하다. 데이터베이스 트리거들이 그 객체의 프로퍼티들 중 어떤 것을 초기화 시키는데 사용될 때 이것이 유용하다.
sess.save(cat); sess.flush(); //force the SQL INSERT sess.refresh(cat); //re-read the state (after the trigger executes)
How much does Hibernate load from the database and how many SQL
SELECT
s will it use? This depends on the fetching strategy. This is explained in 19.1절. “페칭 방도들”.
If you do not know the identifiers of the objects you are looking for, you need a query. Hibernate supports an easy-to-use but powerful object oriented query language (HQL). For programmatic query creation, Hibernate supports a sophisticated Criteria and Example query feature (QBC and QBE). You can also express your query in the native SQL of your database, with optional support from Hibernate for result set conversion into objects.
HQL 질의와 native SQL 질의는
org.hibernate.Query
의 인스턴스로 표현된다. 이 인터페이스는 파라미터 바인딩, 결과셋 핸들링을 위한, 그리고 실제 질의의 실행을 위한 메소드들을 제공한다. 당신은 항상 현재 Session
을 사용하여 하나의 Query
를 얻는다:
List cats = session.createQuery( "from Cat as cat where cat.birthdate < ?") .setDate(0, date) .list(); List mothers = session.createQuery( "select mother from Cat as cat join cat.mother as mother where cat.name = ?") .setString(0, name) .list(); List kittens = session.createQuery( "from Cat as cat where cat.mother = ?") .setEntity(0, pk) .list(); Cat mother = (Cat) session.createQuery( "select cat.mother from Cat as cat where cat = ?") .setEntity(0, izi) .uniqueResult();]] Query mothersWithKittens = (Cat) session.createQuery( "select mother from Cat as mother left join fetch mother.kittens"); Set uniqueMothers = new HashSet(mothersWithKittens.list());
A query is usually executed by invoking
list()
. The result of the query will be loaded completely into a collection in memory. Entity instances retrieved by a query are in a persistent state. The uniqueResult()
method offers a shortcut if you know your query will only return a single object. Queries that make use of eager fetching of collections usually return duplicates of the root objects, but with their collections initialized. You can filter these duplicates through a Set
.
Occasionally, you might be able to achieve better performance by executing the query using the
iterate()
method. This will usually be the case if you expect that the actual entity instances returned by the query will already be in the session or second-level cache. If they are not already cached, iterate()
will be slower than list()
and might require many database hits for a simple query, usually 1 for the initial select which only returns identifiers, and n additional selects to initialize the actual instances.
// fetch ids Iterator iter = sess.createQuery("from eg.Qux q order by q.likeliness").iterate(); while ( iter.hasNext() ) { Qux qux = (Qux) iter.next(); // fetch the object // something we couldnt express in the query if ( qux.calculateComplicatedAlgorithm() ) { // delete the current instance iter.remove(); // dont need to process the rest break; } }
Hibernate queries sometimes return tuples of objects. Each tuple is returned as an array:
Iterator kittensAndMothers = sess.createQuery( "select kitten, mother from Cat kitten join kitten.mother mother") .list() .iterator(); while ( kittensAndMothers.hasNext() ) { Object[] tuple = (Object[]) kittensAndMothers.next(); Cat kitten = (Cat) tuple[0]; Cat mother = (Cat) tuple[1]; .... }
Queries can specify a property of a class in the
select
clause. They can even call SQL aggregate functions. Properties or aggregates are considered "scalar" results and not entities in persistent state.
Iterator results = sess.createQuery( "select cat.color, min(cat.birthdate), count(cat) from Cat cat " + "group by cat.color") .list() .iterator(); while ( results.hasNext() ) { Object[] row = (Object[]) results.next(); Color type = (Color) row[0]; Date oldest = (Date) row[1]; Integer count = (Integer) row[2]; ..... }
Methods on
Query
are provided for binding values to named parameters or JDBC-style ?
parameters. Contrary to JDBC, Hibernate numbers parameters from zero. Named parameters are identifiers of the form :name
in the query string. The advantages of named parameters are as follows:
명명된 파라미터들은 그것들이 질의 문자열 내에 발생하는 순서에 관계없다
they can occur multiple times in the same query
그것은 자기-설명적이다
//named parameter (preferred) Query q = sess.createQuery("from DomesticCat cat where cat.name = :name"); q.setString("name", "Fritz"); Iterator cats = q.iterate();
//positional parameter Query q = sess.createQuery("from DomesticCat cat where cat.name = ?"); q.setString(0, "Izi"); Iterator cats = q.iterate();
//named parameter list List names = new ArrayList(); names.add("Izi"); names.add("Fritz"); Query q = sess.createQuery("from DomesticCat cat where cat.name in (:namesList)"); q.setParameterList("namesList", names); List cats = q.list();
If you need to specify bounds upon your result set, that is, the maximum number of rows you want to retrieve and/or the first row you want to retrieve, you can use methods of the
Query
interface:
Query q = sess.createQuery("from DomesticCat cat"); q.setFirstResult(20); q.setMaxResults(10); List cats = q.list();
Hibernate는 이 limit 질의를 당신의 DBMS의 native SQL로 번역하는 방법을 알고 있다.
If your JDBC driver supports scrollable
ResultSet
s, the Query
interface can be used to obtain a ScrollableResults
object that allows flexible navigation of the query results.
Query q = sess.createQuery("select cat.name, cat from DomesticCat cat " + "order by cat.name"); ScrollableResults cats = q.scroll(); if ( cats.first() ) { // find the first name on each page of an alphabetical list of cats by name firstNamesOfPages = new ArrayList(); do { String name = cats.getString(0); firstNamesOfPages.add(name); } while ( cats.scroll(PAGE_SIZE) ); // Now get the first page of cats pageOfCats = new ArrayList(); cats.beforeFirst(); int i=0; while( ( PAGE_SIZE > i++ ) && cats.next() ) pageOfCats.add( cats.get(1) ); } cats.close()
Note that an open database connection and cursor is required for this functionality. Use
setMaxResult()
/setFirstResult()
if you need offline pagination functionality.
You can also define named queries in the mapping document. Remember to use a
CDATA
section if your query contains characters that could be interpreted as markup.
<query name="ByNameAndMaximumWeight"><![CDATA[ from eg.DomesticCat as cat where cat.name = ? and cat.weight > ? ] ]></query>
파라미터 바인딩과 실행은 프로그램 상으로 행해진다:
Query q = sess.getNamedQuery("ByNameAndMaximumWeight"); q.setString(0, name); q.setInt(1, minWeight); List cats = q.list();
The actual program code is independent of the query language that is used. You can also define native SQL queries in metadata, or migrate existing queries to Hibernate by placing them in mapping files.
Also note that a query declaration inside a
<hibernate-mapping>
element requires a global unique name for the query, while a query declaration inside a <class>
element is made unique automatically by prepending the fully qualified name of the class. For example eg.Cat.ByNameAndMaximumWeight
.
A collection filter is a special type of query that can be applied to a persistent collection or array. The query string can refer to
this
, meaning the current collection element.
Collection blackKittens = session.createFilter( pk.getKittens(), "where this.color = ?") .setParameter( Color.BLACK, Hibernate.custom(ColorUserType.class) ) .list() );
The returned collection is considered a bag that is a copy of the given collection. The original collection is not modified. This is contrary to the implication of the name "filter", but consistent with expected behavior.
Observe that filters do not require a
from
clause, although they can have one if required. Filters are not limited to returning the collection elements themselves.
Collection blackKittenMates = session.createFilter( pk.getKittens(), "select this.mate where this.color = eg.Color.BLACK.intValue") .list();
Even an empty filter query is useful, e.g. to load a subset of elements in a large collection:
Collection tenKittens = session.createFilter( mother.getKittens(), "") .setFirstResult(0).setMaxResults(10) .list();
HQL is extremely powerful, but some developers prefer to build queries dynamically using an object-oriented API, rather than building query strings. Hibernate provides an intuitive
Criteria
query API for these cases:
Criteria crit = session.createCriteria(Cat.class); crit.add( Restrictions.eq( "color", eg.Color.BLACK ) ); crit.setMaxResults(10); List cats = crit.list();
Criteria
와 연관된 Example
API 는 15장. Criteria 질의들에서 상세하게 논의된다.
You can express a query in SQL, using
createSQLQuery()
and let Hibernate manage the mapping from result sets to objects. You can at any time call session.connection()
and use the JDBC Connection
directly. If you choose to use the Hibernate API, you must enclose SQL aliases in braces:
List cats = session.createSQLQuery("SELECT {cat.*} FROM CAT {cat} WHERE ROWNUM<10") .addEntity("cat", Cat.class) .list();
List cats = session.createSQLQuery( "SELECT {cat}.ID AS {cat.id}, {cat}.SEX AS {cat.sex}, " + "{cat}.MATE AS {cat.mate}, {cat}.SUBCLASS AS {cat.class}, ... " + "FROM CAT {cat} WHERE ROWNUM<10") .addEntity("cat", Cat.class) .list()
SQL queries can contain named and positional parameters, just like Hibernate queries. More information about native SQL queries in Hibernate can be found in 16장. Native SQL.
Transactional persistent instances (i.e. objects loaded, saved, created or queried by the
Session
) can be manipulated by the application, and any changes to persistent state will be persisted when the Session
is flushed. This is discussed later in this chapter. There is no need to call a particular method (like update()
, which has a different purpose) to make your modifications persistent. The most straightforward way to update the state of an object is to load()
it and then manipulate it directly while the Session
is open:
DomesticCat cat = (DomesticCat) sess.load( Cat.class, new Long(69) ); cat.setName("PK"); sess.flush(); // changes to cat are automatically detected and persisted
Sometimes this programming model is inefficient, as it requires in the same session both an SQL
SELECT
to load an object and an SQL UPDATE
to persist its updated state. Hibernate offers an alternate approach by using detached instances.
중요
Hibernate does not offer its own API for direct execution of
UPDATE
or DELETE
statements. Hibernate is a state management service, you do not have to think in statements to use it. JDBC is a perfect API for executing SQL statements, you can get a JDBC Connection
at any time by calling session.connection()
. Furthermore, the notion of mass operations conflicts with object/relational mapping for online transaction processing-oriented applications. Future versions of Hibernate can, however, provide special mass operation functions. See 13장. Batch ì²ë¦¬ for some possible batch operation tricks.
많은 어플리케이션들은 하나의 트랜잭션 내에서 하나의 객체를 검색하고, 처리를 위한 UI 계층으로 그것을 전송하고, 그런 다음 새로운 트랜잭션 내에서 변경들을 저장할 필요가 있다. 고도의-동시성 환경에서 이런 종류의 접근법을 사용하는 어플리케이션들은 대개 작업의 "긴" 단위를 확실히 격리시키기 위해 버전화 된 데이터를 사용한다.
Hibernate는
Session.update()
메소드 또는 Session.merge()
메소드를 사용하여 detached 인스턴스들의 재첨부를 제공함으로써 이 모형을 지원한다:
// in the first session Cat cat = (Cat) firstSession.load(Cat.class, catId); Cat potentialMate = new Cat(); firstSession.save(potentialMate); // in a higher layer of the application cat.setMate(potentialMate); // later, in a new session secondSession.update(cat); // update cat secondSession.update(mate); // update mate
만일
catId
식별자를 가진 Cat
이 secondSession
에 의해 이미 로드되었을 경우에 어플리케이션이 그것을 다시 재첨부하려고 시도할 때, 예외상황이 던져졌을 것이다.
Use
update()
if you are certain that the session does not contain an already persistent instance with the same identifier. Use merge()
if you want to merge your modifications at any time without consideration of the state of the session. In other words, update()
is usually the first method you would call in a fresh session, ensuring that the reattachment of your detached instances is the first operation that is executed.
The application should individually
update()
detached instances that are reachable from the given detached instance only if it wants their state to be updated. This can be automated using transitive persistence. See 10.11절. “Transitive persistence(전이 영속)” for more information.
The
lock()
method also allows an application to reassociate an object with a new session. However, the detached instance has to be unmodified.
//just reassociate: sess.lock(fritz, LockMode.NONE); //do a version check, then reassociate: sess.lock(izi, LockMode.READ); //do a version check, using SELECT ... FOR UPDATE, then reassociate: sess.lock(pk, LockMode.UPGRADE);
Note that
lock()
can be used with various LockMode
s. See the API documentation and the chapter on transaction handling for more information. Reattachment is not the only usecase for lock()
.
긴 작업 단위에 대한 다른 모형들은 11.3절. “Optimistic 동시성 제어”에서 논의된다.
Hibernate 사용자들은 새로운 식별자를 생성시켜서 transient 인스턴스를 저장하거나 그것의 현재 식별자와 연관된 detached 인스턴스들을 업데이트/재첨부 시키는 일반적인 용도의 메소드를 요청했다.
saveOrUpdate()
메소드는 이 기능을 구현한다.
// in the first session Cat cat = (Cat) firstSession.load(Cat.class, catID); // in a higher tier of the application Cat mate = new Cat(); cat.setMate(mate); // later, in a new session secondSession.saveOrUpdate(cat); // update existing state (cat has a non-null id) secondSession.saveOrUpdate(mate); // save the new instance (mate has a null id)
saveOrUpdate()
의 사용 예제와 의미는 초심자들에게는 혼동스러워 보인다. 먼저, 하나의 세션에서 온 인스턴스를 또 다른 새로운 세션 내에서 사용하려고 시도하지 않는 한, 당신은 update()
, saveOrUpdate()
, 또는 merge()
를 사용할 필요는 없을 것이다. 몇몇 전체 어플리케이션들은 이들 메소드들 중 어느 것도 결코 사용하지 않을 것이다.
대개
update()
또는 saveOrUpdate()
는 다음 시나리오에서 사용된다:
어플리케이션이 첫 번째 세션 내에 객체를 로드시킨다
객체가 UI 티어로 전달된다
몇몇 변경들이 그 객체에 행해진다
객체가 비지니스 로직 티어로 전달된다
어플리케이션은 두 번째 세션에서
update()
를 호출함으로써 이들 변경들을 영속화 시킨다
saveOrUpdate()
는 다음을 행한다:
만일 객체가 이 세션 내에서 이미 영속화 되어 있을 경우, 아무것도 행하지 않는다
만일 그 세션과 연관된 또 다른 객체가 동일한 식별자를 가질 경우, 예외상황을 던진다
만일 그 객체가 식별자 프로퍼티를 갖지 않을 경우, 그것을
save()
시킨다만일 객체의 식별자가 새로이 초기화 된 객체에 할당된 값을 가질 경우, 그것을
save()
시킨다if the object is versioned by a
<version>
or<timestamp>
, and the version property value is the same value assigned to a newly instantiated object,save()
it그 밖의 경우 그 객체를
update()
시킨다
그리고
merge()
는 매우 다르다:
만일 세션과 현재 연관된 동일한 식별자를 가진 영속 인스턴스가 존재할 경우, 주어진 객체의 상태를 영속 인스턴스 상으로 복사한다
만일 세션과 현재 연관된 영속 인스턴스가 존재하지 않을 경우, 데이터베이스로부터 그것을 로드시키려고 시도하거나 새로운 영속 인스턴스를 생성시키려고 시도한다
영속 인스턴스가 반환된다
주어진 인스턴스는 세션과 연관되지 않고, 그것은 detached 상태에 머무른다
Session.delete()
will remove an object's state from the database. Your application, however, can still hold a reference to a deleted object. It is best to think of delete()
as making a persistent instance, transient.
sess.delete(cat);
You can delete objects in any order, without risk of foreign key constraint violations. It is still possible to violate a
NOT NULL
constraint on a foreign key column by deleting objects in the wrong order, e.g. if you delete the parent, but forget to delete the children.
It is sometimes useful to be able to take a graph of persistent instances and make them persistent in a different datastore, without regenerating identifier values.
//retrieve a cat from one database Session session1 = factory1.openSession(); Transaction tx1 = session1.beginTransaction(); Cat cat = session1.get(Cat.class, catId); tx1.commit(); session1.close(); //reconcile with a second database Session session2 = factory2.openSession(); Transaction tx2 = session2.beginTransaction(); session2.replicate(cat, ReplicationMode.LATEST_VERSION); tx2.commit(); session2.close();
The
ReplicationMode
determines how replicate()
will deal with conflicts with existing rows in the database:
ReplicationMode.IGNORE
: ignores the object when there is an existing database row with the same identifierReplicationMode.OVERWRITE
: overwrites any existing database row with the same identifierReplicationMode.EXCEPTION
: throws an exception if there is an existing database row with the same identifierReplicationMode.LATEST_VERSION
: overwrites the row if its version number is earlier than the version number of the object, or ignore the object otherwise
이 특징의 쓰임새들은 다른 데이터베이스 인스턴스들 속으로 입력된 데이터 일치시키기, 제품 업그레이드 동안에 시스템 구성 정보 업데이트 하기, non-ACID 트랜잭션들 동안에 행해진 변경들을 롤백시키기 등을 포함한다.
Sometimes the
Session
will execute the SQL statements needed to synchronize the JDBC connection's state with the state of objects held in memory. This process, called flush, occurs by default at the following points:
몇몇 질의들이 실행되기 전에
org.hibernate.Transaction.commit()
시점에서Session.flush()
시점에서
The SQL statements are issued in the following order:
all entity insertions in the same order the corresponding objects were saved using
Session.save()
모든 엔티티 업데이트들
모든 콜렉션 삭제들
모든 콜렉션 요소 삭제들, 업데이트들 그리고 삽입들
모든 콜렉션 삽입들
all entity deletions in the same order the corresponding objects were deleted using
Session.delete()
An exception is that objects using
native
ID generation are inserted when they are saved.
Except when you explicitly
flush()
, there are absolutely no guarantees about when the Session
executes the JDBC calls, only the order in which they are executed. However, Hibernate does guarantee that the Query.list(..)
will never return stale or incorrect data.
It is possible to change the default behavior so that flush occurs less frequently. The
FlushMode
class defines three different modes: only flush at commit time when the Hibernate Transaction
API is used, flush automatically using the explained routine, or never flush unless flush()
is called explicitly. The last mode is useful for long running units of work, where a Session
is kept open and disconnected for a long time (see 11.3.2절. “확장된 세션과 자동적인 버전화”).
sess = sf.openSession(); Transaction tx = sess.beginTransaction(); sess.setFlushMode(FlushMode.COMMIT); // allow queries to return stale state Cat izi = (Cat) sess.load(Cat.class, id); izi.setName(iznizi); // might return stale data sess.find("from Cat as cat left outer join cat.kittens kitten"); // change to izi is not flushed! ... tx.commit(); // flush occurs sess.close();
flush 동안에, 하나의 예외상황이 발생할 수도 있다(예를 들면. 만일 DML 오퍼레이션이 컨스트레인트를 위반할 경우). 예외상황들을 처리하는 것은 Hibernatem의 트랜잭션 특징에 관한 어떤 이해를 수반하며, 우리는 11장. Transactions and Concurrency에서 그것을 논의한다.
특히 당신이 연관된 객체들의 그래프를 다룰 경우에, 특히 개별 객체들을 저장하고, 삭제하거나, 재첨부시키는 것이 꽤 번거롭다. 공통된 경우는 하나의 부모/자식 관계이다. 다음 예제를 검토하자:
If the children in a parent/child relationship would be value typed (e.g. a collection of addresses or strings), their life cycle would depend on the parent and no further action would be required for convenient "cascading" of state changes. When the parent is saved, the value-typed child objects are saved and when the parent is deleted, the children will be deleted, etc. This works for operations such as the removal of a child from the collection. Since value-typed objects cannot have shared references, Hibernate will detect this and delete the child from the database.
Now consider the same scenario with parent and child objects being entities, not value-types (e.g. categories and items, or parent and child cats). Entities have their own life cycle and support shared references. Removing an entity from the collection does not mean it can be deleted), and there is by default no cascading of state from one entity to any other associated entities. Hibernate does not implement persistence by reachability by default.
-
persist(), merge(), saveOrUpdate(), delete(), lock(), refresh(), evict(), replicate()
를 포함하는- Hibernate 세션에 대한 각각의 기본 오퍼레이션에 대해서 하나의 대응하는 케스케이딩 스타일이 존재한다. 케스케이드 스타일들 각각은 create, merge, save-update, delete, lock, refresh, evict, replicate
로 명명된다. 만일 당신이 하나의 오퍼레이션이 하나의 연관에 따라 케스케이딩되는 것을 원할 경우, 당신은 매핑 문서 내에 그것을 지시해야 한다. 예를 들면:
<one-to-one name="person" cascade="persist"/>
케스케이딩 스타일들이 결합될 수도 있다:
<one-to-one name="person" cascade="persist,delete,lock"/>
You can even use
cascade="all"
to specify that all operations should be cascaded along the association. The default cascade="none"
specifies that no operations are to be cascaded.
특정한 케스케이드 스타일인,
delete-orphan
은 오직 one-to-many 연관들에만 적용되고, delete()
오퍼레이션이 그 연관으로부터 제거되는 임의의 자식 객체에 적용되어야 함을 나타낸다.
권장사항들 :
It does not usually make sense to enable cascade on a
<many-to-one>
or<many-to-many>
association. Cascade is often useful for<one-to-one>
and<one-to-many>
associations.만일 자식 객체의 수명이 그 부모 객체의 수명에 묶여져 있을 경우,
cascade="all,delete-orphan"
을 지정함으로써 그것을 생명 주기 객체로 만들어라.그 밖의 경우, 당신은 케스케이드를 전혀 필요로 하지 않을 수 있다. 그러나 만일 당신이 동일한 트랜잭션 내에서 부모와 자식에 대해 자주 함께 작업하게 될 것이라 생각되고, 당신 스스로 타이핑 하는 것을 절약하고자 원할 경우,
cascade="persist,merge,save-update"
를 사용하는 것을 고려하라.
cascade="all"
을 가진 (단일 값 연관이든 하나의 콜렉션이든) 하나의 연관을 매핑시키는 것은 그 연관을 부모의 저장/업데이트/삭제가 자식 또는 자식들의 저장/업데이트/삭제로 귀결되는 부모/자식 스타일의 관계로 마크한다.
Furthermore, a mere reference to a child from a persistent parent will result in save/update of the child. This metaphor is incomplete, however. A child which becomes unreferenced by its parent is not automatically deleted, except in the case of a
<one-to-many>
association mapped with cascade="delete-orphan"
. The precise semantics of cascading operations for a parent/child relationship are as follows:
만일 부모가
persist()
에 전달될 경우, 모든 자식들이persist()
에 전달된다만일 부모가
merge()
에 전달될 경우, 모든 자식들이merge()
에 전달된다만일 부모가
save()
,update()
또는saveOrUpdate()
에 전달될 경우, 모든 자식들이saveOrUpdate()
에 전달된다만일 transient 또는 detached 자식이 영속 부모에 의해 참조될 경우, 그것은
saveOrUpdate()
에 전달된다만일 부모가 삭제될 경우, 모든 자식들이
delete()
에 전달된다만일 자식이 영속 부모에 의해 참조 해제 될 경우,
cascade="delete-orphan"
이 아닌 한, 특별한 어떤 것도 발생하지 않는다 - 어플리케이션은 필요한 경우에 자식을 명시적으로 삭제해야 한다 -,cascade="delete-orphan"
인 경우에 "orphaned(고아)"인 경우 자식이 삭제된다.
Finally, note that cascading of operations can be applied to an object graph at call time or at flush time. All operations, if enabled, are cascaded to associated entities reachable when the operation is executed. However,
save-update
and delete-orphan
are transitive for all associated entities reachable during flush of the Session
.
Hibernate requires a rich meta-level model of all entity and value types. This model can be useful to the application itself. For example, the application might use Hibernate's metadata to implement a "smart" deep-copy algorithm that understands which objects should be copied (eg. mutable value types) and which objects that should not (e.g. immutable value types and, possibly, associated entities).
Hibernate exposes metadata via the
ClassMetadata
and CollectionMetadata
interfaces and the Type
hierarchy. Instances of the metadata interfaces can be obtained from the SessionFactory
.
Cat fritz = ......; ClassMetadata catMeta = sessionfactory.getClassMetadata(Cat.class); Object[] propertyValues = catMeta.getPropertyValues(fritz); String[] propertyNames = catMeta.getPropertyNames(); Type[] propertyTypes = catMeta.getPropertyTypes(); // get a Map of all properties which are not collections or associations Map namedValues = new HashMap(); for ( int i=0; i<propertyNames.length; i++ ) { if ( !propertyTypes[i].isEntityType() && !propertyTypes[i].isCollectionType() ) { namedValues.put( propertyNames[i], propertyValues[i] ); } }
The most important point about Hibernate and concurrency control is that it is easy to understand. Hibernate directly uses JDBC connections and JTA resources without adding any additional locking behavior. It is recommended that you spend some time with the JDBC, ANSI, and transaction isolation specification of your database management system.
Hibernate does not lock objects in memory. Your application can expect the behavior as defined by the isolation level of your database transactions. Through
Session
, which is also a transaction-scoped cache, Hibernate provides repeatable reads for lookup by identifier and entity queries and not reporting queries that return scalar values.
In addition to versioning for automatic optimistic concurrency control, Hibernate also offers, using the
SELECT FOR UPDATE
syntax, a (minor) API for pessimistic locking of rows. Optimistic concurrency control and this API are discussed later in this chapter.
The discussion of concurrency control in Hibernate begins with the granularity of
Configuration
, SessionFactory
, and Session
, as well as database transactions and long conversations.
A
SessionFactory
is an expensive-to-create, threadsafe object, intended to be shared by all application threads. It is created once, usually on application startup, from a Configuration
instance.
A
Session
is an inexpensive, non-threadsafe object that should be used once and then discarded for: a single request, a conversation or a single unit of work. A Session
will not obtain a JDBC Connection
, or a Datasource
, unless it is needed. It will not consume any resources until used.
In order to reduce lock contention in the database, a database transaction has to be as short as possible. Long database transactions will prevent your application from scaling to a highly concurrent load. It is not recommended that you hold a database transaction open during user think time until the unit of work is complete.
What is the scope of a unit of work? Can a single Hibernate
Session
span several database transactions, or is this a one-to-one relationship of scopes? When should you open and close a Session
and how do you demarcate the database transaction boundaries? These questions are addressed in the following sections.
First, let's define a unit of work. A unit of work is a design pattern described by Martin Fowler as “ [maintaining] a list of objects affected by a business transaction and coordinates the writing out of changes and the resolution of concurrency problems. ”[PoEAA] In other words, its a series of operations we wish to carry out against the database together. Basically, it is a transaction, though fulfilling a unit of work will often span multiple physical database transactions (see 11.1.2절. “장기간의 대화”). So really we are talking about a more abstract notion of a transaction. The term "business transaction" is also sometimes used in lieu of unit of work.
Do not use the session-per-operation antipattern: do not open and close a
Session
for every simple database call in a single thread. The same is true for database transactions. Database calls in an application are made using a planned sequence; they are grouped into atomic units of work. This also means that auto-commit after every single SQL statement is useless in an application as this mode is intended for ad-hoc SQL console work. Hibernate disables, or expects the application server to disable, auto-commit mode immediately. Database transactions are never optional. All communication with a database has to occur inside a transaction. Auto-commit behavior for reading data should be avoided, as many small transactions are unlikely to perform better than one clearly defined unit of work. The latter is also more maintainable and extensible.
The most common pattern in a multi-user client/server application is session-per-request. In this model, a request from the client is sent to the server, where the Hibernate persistence layer runs. A new Hibernate
Session
is opened, and all database operations are executed in this unit of work. On completion of the work, and once the response for the client has been prepared, the session is flushed and closed. Use a single database transaction to serve the clients request, starting and committing it when you open and close the Session
. The relationship between the two is one-to-one and this model is a perfect fit for many applications.
The challenge lies in the implementation. Hibernate provides built-in management of the "current session" to simplify this pattern. Start a transaction when a server request has to be processed, and end the transaction before the response is sent to the client. Common solutions are
ServletFilter
, AOP interceptor with a pointcut on the service methods, or a proxy/interception container. An EJB container is a standardized way to implement cross-cutting aspects such as transaction demarcation on EJB session beans, declaratively with CMT. If you use programmatic transaction demarcation, for ease of use and code portability use the Hibernate Transaction
API shown later in this chapter.
Your application code can access a "current session" to process the request by calling
sessionFactory.getCurrentSession()
. You will always get a Session
scoped to the current database transaction. This has to be configured for either resource-local or JTA environments, see 2.5절. “Contextual sessions”.
You can extend the scope of a
Session
and database transaction until the "view has been rendered". This is especially useful in servlet applications that utilize a separate rendering phase after the request has been processed. Extending the database transaction until view rendering, is achieved by implementing your own interceptor. However, this will be difficult if you rely on EJBs with container-managed transactions. A transaction will be completed when an EJB method returns, before rendering of any view can start. See the Hibernate website and forum for tips and examples relating to this Open Session in View pattern.
The session-per-request pattern is not the only way of designing units of work. Many business processes require a whole series of interactions with the user that are interleaved with database accesses. In web and enterprise applications, it is not acceptable for a database transaction to span a user interaction. Consider the following example:
The first screen of a dialog opens. The data seen by the user has been loaded in a particular
Session
and database transaction. The user is free to modify the objects.The user clicks "Save" after 5 minutes and expects their modifications to be made persistent. The user also expects that they were the only person editing this information and that no conflicting modification has occurred.
From the point of view of the user, we call this unit of work a long-running conversation or application transaction. There are many ways to implement this in your application.
A first naive implementation might keep the
Session
and database transaction open during user think time, with locks held in the database to prevent concurrent modification and to guarantee isolation and atomicity. This is an anti-pattern, since lock contention would not allow the application to scale with the number of concurrent users.
You have to use several database transactions to implement the conversation. In this case, maintaining isolation of business processes becomes the partial responsibility of the application tier. A single conversation usually spans several database transactions. It will be atomic if only one of these database transactions (the last one) stores the updated data. All others simply read data (for example, in a wizard-style dialog spanning several request/response cycles). This is easier to implement than it might sound, especially if you utilize some of Hibernate's features:
Automatic Versioning: Hibernate can perform automatic optimistic concurrency control for you. It can automatically detect if a concurrent modification occurred during user think time. Check for this at the end of the conversation.
Detached Objects: if you decide to use the session-per-request pattern, all loaded instances will be in the detached state during user think time. Hibernate allows you to reattach the objects and persist the modifications. The pattern is called session-per-request-with-detached-objects. Automatic versioning is used to isolate concurrent modifications.
Extended (or Long) Session: the Hibernate
Session
can be disconnected from the underlying JDBC connection after the database transaction has been committed and reconnected when a new client request occurs. This pattern is known as session-per-conversation and makes even reattachment unnecessary. Automatic versioning is used to isolate concurrent modifications and theSession
will not be allowed to be flushed automatically, but explicitly.
Both session-per-request-with-detached-objects and session-per-conversation have advantages and disadvantages. These disadvantages are discussed later in this chapter in the context of optimistic concurrency control.
An application can concurrently access the same persistent state in two different
Session
s. However, an instance of a persistent class is never shared between two Session
instances. It is for this reason that there are two different notions of identity:
For objects attached to a particular
Session
(i.e., in the scope of a Session
), the two notions are equivalent and JVM identity for database identity is guaranteed by Hibernate. While the application might concurrently access the "same" (persistent identity) business object in two different sessions, the two instances will actually be "different" (JVM identity). Conflicts are resolved using an optimistic approach and automatic versioning at flush/commit time.
This approach leaves Hibernate and the database to worry about concurrency. It also provides the best scalability, since guaranteeing identity in single-threaded units of work means that it does not need expensive locking or other means of synchronization. The application does not need to synchronize on any business object, as long as it maintains a single thread per
Session
. Within a Session
the application can safely use ==
to compare objects.
However, an application that uses
==
outside of a Session
might produce unexpected results. This might occur even in some unexpected places. For example, if you put two detached instances into the same Set
, both might have the same database identity (i.e., they represent the same row). JVM identity, however, is by definition not guaranteed for instances in a detached state. The developer has to override the equals()
and hashCode()
methods in persistent classes and implement their own notion of object equality. There is one caveat: never use the database identifier to implement equality. Use a business key that is a combination of unique, usually immutable, attributes. The database identifier will change if a transient object is made persistent. If the transient instance (usually together with detached instances) is held in a Set
, changing the hashcode breaks the contract of the Set
. Attributes for business keys do not have to be as stable as database primary keys; you only have to guarantee stability as long as the objects are in the same Set
. See the Hibernate website for a more thorough discussion of this issue. Please note that this is not a Hibernate issue, but simply how Java object identity and equality has to be implemented.
Do not use the anti-patterns session-per-user-session or session-per-application (there are, however, rare exceptions to this rule). Some of the following issues might also arise within the recommended patterns, so ensure that you understand the implications before making a design decision:
A
Session
is not thread-safe. Things that work concurrently, like HTTP requests, session beans, or Swing workers, will cause race conditions if aSession
instance is shared. If you keep your HibernateSession
in yourHttpSession
(this is discussed later in the chapter), you should consider synchronizing access to your Http session. Otherwise, a user that clicks reload fast enough can use the sameSession
in two concurrently running threads.An exception thrown by Hibernate means you have to rollback your database transaction and close the
Session
immediately (this is discussed in more detail later in the chapter). If yourSession
is bound to the application, you have to stop the application. Rolling back the database transaction does not put your business objects back into the state they were at the start of the transaction. This means that the database state and the business objects will be out of sync. Usually this is not a problem, because exceptions are not recoverable and you will have to start over after rollback anyway.The
Session
caches every object that is in a persistent state (watched and checked for dirty state by Hibernate). If you keep it open for a long time or simply load too much data, it will grow endlessly until you get an OutOfMemoryException. One solution is to callclear()
andevict()
to manage theSession
cache, but you should consider a Stored Procedure if you need mass data operations. Some solutions are shown in 13장. Batch ì²ë¦¬. Keeping aSession
open for the duration of a user session also means a higher probability of stale data.
Database, or system, transaction boundaries are always necessary. No communication with the database can occur outside of a database transaction (this seems to confuse many developers who are used to the auto-commit mode). Always use clear transaction boundaries, even for read-only operations. Depending on your isolation level and database capabilities this might not be required, but there is no downside if you always demarcate transactions explicitly. Certainly, a single database transaction is going to perform better than many small transactions, even for reading data.
A Hibernate application can run in non-managed (i.e., standalone, simple Web- or Swing applications) and managed J2EE environments. In a non-managed environment, Hibernate is usually responsible for its own database connection pool. The application developer has to manually set transaction boundaries (begin, commit, or rollback database transactions) themselves. A managed environment usually provides container-managed transactions (CMT), with the transaction assembly defined declaratively (in deployment descriptors of EJB session beans, for example). Programmatic transaction demarcation is then no longer necessary.
However, it is often desirable to keep your persistence layer portable between non-managed resource-local environments, and systems that can rely on JTA but use BMT instead of CMT. In both cases use programmatic transaction demarcation. Hibernate offers a wrapper API called
Transaction
that translates into the native transaction system of your deployment environment. This API is actually optional, but we strongly encourage its use unless you are in a CMT session bean.
Ending a
Session
usually involves four distinct phases:
세션을 flush 시킨다
트랜잭션을 커밋 시킨다
세션을 닫는다
예외상황들을 처리한다
We discussed Flushing the session earlier, so we will now have a closer look at transaction demarcation and exception handling in both managed and non-managed environments.
If a Hibernate persistence layer runs in a non-managed environment, database connections are usually handled by simple (i.e., non-DataSource) connection pools from which Hibernate obtains connections as needed. The session/transaction handling idiom looks like this:
// Non-managed environment idiom Session sess = factory.openSession(); Transaction tx = null; try { tx = sess.beginTransaction(); // do some work ... tx.commit(); } catch (RuntimeException e) { if (tx != null) tx.rollback(); throw e; // or display error message } finally { sess.close(); }
You do not have to
flush()
the Session
explicitly: the call to commit()
automatically triggers the synchronization depending on the FlushMode for the session. A call to close()
marks the end of a session. The main implication of close()
is that the JDBC connection will be relinquished by the session. This Java code is portable and runs in both non-managed and JTA environments.
As outlined earlier, a much more flexible solution is Hibernate's built-in "current session" context management:
// Non-managed environment idiom with getCurrentSession() try { factory.getCurrentSession().beginTransaction(); // do some work ... factory.getCurrentSession().getTransaction().commit(); } catch (RuntimeException e) { factory.getCurrentSession().getTransaction().rollback(); throw e; // or display error message }
You will not see these code snippets in a regular application; fatal (system) exceptions should always be caught at the "top". In other words, the code that executes Hibernate calls in the persistence layer, and the code that handles
RuntimeException
(and usually can only clean up and exit), are in different layers. The current context management by Hibernate can significantly simplify this design by accessing a SessionFactory
. Exception handling is discussed later in this chapter.
You should select
org.hibernate.transaction.JDBCTransactionFactory
, which is the default, and for the second example select "thread"
as your hibernate.current_session_context_class
.
If your persistence layer runs in an application server (for example, behind EJB session beans), every datasource connection obtained by Hibernate will automatically be part of the global JTA transaction. You can also install a standalone JTA implementation and use it without EJB. Hibernate offers two strategies for JTA integration.
If you use bean-managed transactions (BMT), Hibernate will tell the application server to start and end a BMT transaction if you use the
Transaction
API. The transaction management code is identical to the non-managed environment.
// BMT idiom Session sess = factory.openSession(); Transaction tx = null; try { tx = sess.beginTransaction(); // do some work ... tx.commit(); } catch (RuntimeException e) { if (tx != null) tx.rollback(); throw e; // or display error message } finally { sess.close(); }
If you want to use a transaction-bound
Session
, that is, the getCurrentSession()
functionality for easy context propagation, use the JTA UserTransaction
API directly:
// BMT idiom with getCurrentSession() try { UserTransaction tx = (UserTransaction)new InitialContext() .lookup("java:comp/UserTransaction"); tx.begin(); // Do some work on Session bound to transaction factory.getCurrentSession().load(...); factory.getCurrentSession().persist(...); tx.commit(); } catch (RuntimeException e) { tx.rollback(); throw e; // or display error message }
With CMT, transaction demarcation is completed in session bean deployment descriptors, not programmatically. The code is reduced to:
// CMT idiom Session sess = factory.getCurrentSession(); // do some work ...
When configuring Hibernate's transaction factory, choose
org.hibernate.transaction.JTATransactionFactory
if you use JTA directly (BMT), and org.hibernate.transaction.CMTTransactionFactory
in a CMT session bean. Remember to also set hibernate.transaction.manager_lookup_class
. Ensure that your hibernate.current_session_context_class
is either unset (backwards compatibility), or is set to "jta"
.
The
getCurrentSession()
operation has one downside in a JTA environment. There is one caveat to the use of after_statement
connection release mode, which is then used by default. Due to a limitation of the JTA spec, it is not possible for Hibernate to automatically clean up any unclosed ScrollableResults
or Iterator
instances returned by scroll()
or iterate()
. You must release the underlying database cursor by calling ScrollableResults.close()
or Hibernate.close(Iterator)
explicitly from a finally
block. Most applications can easily avoid using scroll()
or iterate()
from the JTA or CMT code.)
If the
Session
throws an exception, including any SQLException
, immediately rollback the database transaction, call Session.close()
and discard the Session
instance. Certain methods of Session
will not leave the session in a consistent state. No exception thrown by Hibernate can be treated as recoverable. Ensure that the Session
will be closed by calling close()
in a finally
block.
The
HibernateException
, which wraps most of the errors that can occur in a Hibernate persistence layer, is an unchecked exception. It was not in older versions of Hibernate. In our opinion, we should not force the application developer to catch an unrecoverable exception at a low layer. In most systems, unchecked and fatal exceptions are handled in one of the first frames of the method call stack (i.e., in higher layers) and either an error message is presented to the application user or some other appropriate action is taken. Note that Hibernate might also throw other unchecked exceptions that are not a HibernateException
. These are not recoverable and appropriate action should be taken.
Hibernate wraps
SQLException
s thrown while interacting with the database in a JDBCException
. In fact, Hibernate will attempt to convert the exception into a more meaningful subclass of JDBCException
. The underlying SQLException
is always available via JDBCException.getCause()
. Hibernate converts the SQLException
into an appropriate JDBCException
subclass using the SQLExceptionConverter
attached to the SessionFactory
. By default, the SQLExceptionConverter
is defined by the configured dialect. However, it is also possible to plug in a custom implementation. See the javadocs for the SQLExceptionConverterFactory
class for details. The standard JDBCException
subtypes are:
JDBCConnectionException
: indicates an error with the underlying JDBC communication.SQLGrammarException
: indicates a grammar or syntax problem with the issued SQL.ConstraintViolationException
: indicates some form of integrity constraint violation.LockAcquisitionException
: indicates an error acquiring a lock level necessary to perform the requested operation.GenericJDBCException
: a generic exception which did not fall into any of the other categories.
An important feature provided by a managed environment like EJB, that is never provided for non-managed code, is transaction timeout. Transaction timeouts ensure that no misbehaving transaction can indefinitely tie up resources while returning no response to the user. Outside a managed (JTA) environment, Hibernate cannot fully provide this functionality. However, Hibernate can at least control data access operations, ensuring that database level deadlocks and queries with huge result sets are limited by a defined timeout. In a managed environment, Hibernate can delegate transaction timeout to JTA. This functionality is abstracted by the Hibernate
Transaction
object.
Session sess = factory.openSession(); try { //set transaction timeout to 3 seconds sess.getTransaction().setTimeout(3); sess.getTransaction().begin(); // do some work ... sess.getTransaction().commit() } catch (RuntimeException e) { sess.getTransaction().rollback(); throw e; // or display error message } finally { sess.close(); }
setTimeout()
cannot be called in a CMT bean, where transaction timeouts must be defined declaratively.
The only approach that is consistent with high concurrency and high scalability, is optimistic concurrency control with versioning. Version checking uses version numbers, or timestamps, to detect conflicting updates and to prevent lost updates. Hibernate provides three possible approaches to writing application code that uses optimistic concurrency. The use cases we discuss are in the context of long conversations, but version checking also has the benefit of preventing lost updates in single database transactions.
In an implementation without much help from Hibernate, each interaction with the database occurs in a new
Session
and the developer is responsible for reloading all persistent instances from the database before manipulating them. The application is forced to carry out its own version checking to ensure conversation transaction isolation. This approach is the least efficient in terms of database access. It is the approach most similar to entity EJBs.
// foo is an instance loaded by a previous Session session = factory.openSession(); Transaction t = session.beginTransaction(); int oldVersion = foo.getVersion(); session.load( foo, foo.getKey() ); // load the current state if ( oldVersion != foo.getVersion() ) throw new StaleObjectStateException(); foo.setProperty("bar"); t.commit(); session.close();
version 프로퍼티는
<version>
을 사용하여 매핑되고, Hibernate는 만일 엔티티가 dirty일 경우 flush 동안에 그것을 자동적으로 증가시킬 것이다.
If you are operating in a low-data-concurrency environment, and do not require version checking, you can use this approach and skip the version check. In this case, last commit wins is the default strategy for long conversations. Be aware that this might confuse the users of the application, as they might experience lost updates without error messages or a chance to merge conflicting changes.
Manual version checking is only feasible in trivial circumstances and not practical for most applications. Often not only single instances, but complete graphs of modified objects, have to be checked. Hibernate offers automatic version checking with either an extended
Session
or detached instances as the design paradigm.
A single
Session
instance and its persistent instances that are used for the whole conversation are known as session-per-conversation. Hibernate checks instance versions at flush time, throwing an exception if concurrent modification is detected. It is up to the developer to catch and handle this exception. Common options are the opportunity for the user to merge changes or to restart the business conversation with non-stale data.
The
Session
is disconnected from any underlying JDBC connection when waiting for user interaction. This approach is the most efficient in terms of database access. The application does not version check or reattach detached instances, nor does it have to reload instances in every database transaction.
// foo is an instance loaded earlier by the old session Transaction t = session.beginTransaction(); // Obtain a new JDBC connection, start transaction foo.setProperty("bar"); session.flush(); // Only for last transaction in conversation t.commit(); // Also return JDBC connection session.close(); // Only for last transaction in conversation
The
foo
object knows which Session
it was loaded in. Beginning a new database transaction on an old session obtains a new connection and resumes the session. Committing a database transaction disconnects a session from the JDBC connection and returns the connection to the pool. After reconnection, to force a version check on data you are not updating, you can call Session.lock()
with LockMode.READ
on any objects that might have been updated by another transaction. You do not need to lock any data that you are updating. Usually you would set FlushMode.MANUAL
on an extended Session
, so that only the last database transaction cycle is allowed to actually persist all modifications made in this conversation. Only this last database transaction will include the flush()
operation, and then close()
the session to end the conversation.
This pattern is problematic if the
Session
is too big to be stored during user think time (for example, an HttpSession
should be kept as small as possible). As the Session
is also the first-level cache and contains all loaded objects, we can probably use this strategy only for a few request/response cycles. Use a Session
only for a single conversation as it will soon have stale data.
Keep the disconnected
Session
close to the persistence layer. Use an EJB stateful session bean to hold the Session
in a three-tier environment. Do not transfer it to the web layer, or even serialize it to a separate tier, to store it in the HttpSession
.
The extended session pattern, or session-per-conversation, is more difficult to implement with automatic current session context management. You need to supply your own implementation of the
CurrentSessionContext
for this. See the Hibernate Wiki for examples.
영속 저장소에 대한 각각의 상호작용은 새로운
Session
에서 일어난다. 하지만 동일한 영속 인스턴스들은 데이터베이스와의 각각의 상호작용에 재사용된다. 어플리케이션은 원래 로드되었던 detached 인스턴스들의 상태를 또 다른 Session
내에서 처리하고 나서 Session.update()
, Session.saveOrUpdate()
, Session.merge()
를 사용하여 그것들을 다시 첨부시킨다.
// foo is an instance loaded by a previous Session foo.setProperty("bar"); session = factory.openSession(); Transaction t = session.beginTransaction(); session.saveOrUpdate(foo); // Use merge() if "foo" might have been loaded already t.commit(); session.close();
Again, Hibernate will check instance versions during flush, throwing an exception if conflicting updates occurred.
You can also call
lock()
instead of update()
, and use LockMode.READ
(performing a version check and bypassing all caches) if you are sure that the object has not been modified.
You can disable Hibernate's automatic version increment for particular properties and collections by setting the
optimistic-lock
mapping attribute to false
. Hibernate will then no longer increment versions if the property is dirty.
Legacy database schemas are often static and cannot be modified. Or, other applications might access the same database and will not know how to handle version numbers or even timestamps. In both cases, versioning cannot rely on a particular column in a table. To force a version check with a comparison of the state of all fields in a row but without a version or timestamp property mapping, turn on
optimistic-lock="all"
in the <class>
mapping. This conceptually only works if Hibernate can compare the old and the new state (i.e., if you use a single long Session
and not session-per-request-with-detached-objects).
Concurrent modification can be permitted in instances where the changes that have been made do not overlap. If you set
optimistic-lock="dirty"
when mapping the <class>
, Hibernate will only compare dirty fields during flush.
In both cases, with dedicated version/timestamp columns or with a full/dirty field comparison, Hibernate uses a single
UPDATE
statement, with an appropriate WHERE
clause, per entity to execute the version check and update the information. If you use transitive persistence to cascade reattachment to associated entities, Hibernate may execute unnecessary updates. This is usually not a problem, but on update triggers in the database might be executed even when no changes have been made to detached instances. You can customize this behavior by setting select-before-update="true"
in the <class>
mapping, forcing Hibernate to SELECT
the instance to ensure that changes did occur before updating the row.
It is not intended that users spend much time worrying about locking strategies. It is usually enough to specify an isolation level for the JDBC connections and then simply let the database do all the work. However, advanced users may wish to obtain exclusive pessimistic locks or re-obtain locks at the start of a new transaction.
Hibernate will always use the locking mechanism of the database; it never lock objects in memory.
The
LockMode
class defines the different lock levels that can be acquired by Hibernate. A lock is obtained by the following mechanisms:
LockMode.WRITE
는 Hibernate가 한 행을 업데이트 하거나 insert 할 때 자동적으로 획득된다.LockMode.UPGRADE
can be acquired upon explicit user request usingSELECT ... FOR UPDATE
on databases which support that syntax.LockMode.UPGRADE_NOWAIT
can be acquired upon explicit user request using aSELECT ... FOR UPDATE NOWAIT
under Oracle.LockMode.READ
is acquired automatically when Hibernate reads data under Repeatable Read or Serializable isolation level. It can be re-acquired by explicit user request.LockMode.NONE
은 잠금이 없음을 나타낸다. 모든 객체들은Transaction
의 끝에서 이 잠금 모드로 전환된다.update()
또는saveOrUpdate()
에 대한 호출을 통해 세션과 연관된 객체들이 또한 이 잠금 모드로 시작된다.
"명시적인 사용자 요청"은 다음 방법들 중 하나로 표현된다:
LockMode
를 지정한Session.load()
에 대한 호출.Session.lock()
에 대한 호출.Query.setLockMode()
에 대한 호출.
만일
Session.load()
가 UPGRADE
또는 UPGRADE_NOWAIT
모드로 호출되고 ,요청된 객체가 아직 이 세션에 의해 로드되지 않았다면, 그 객체는 SELECT ... FOR UPDATE
를 사용하여 로드된다. 만일 요청된 것이 아닌 다소 제한적인 잠금으로 이미 로드되어 있는 객체에 대해 load()
가 호출될 경우, Hibernate는 그 객체에 대해 lock()
을 호출한다.
Session.lock()
performs a version number check if the specified lock mode is READ
, UPGRADE
or UPGRADE_NOWAIT
. In the case of UPGRADE
or UPGRADE_NOWAIT
, SELECT ... FOR UPDATE
is used.
If the requested lock mode is not supported by the database, Hibernate uses an appropriate alternate mode instead of throwing an exception. This ensures that applications are portable.
One of the legacies of Hibernate 2.x JDBC connection management meant that a
Session
would obtain a connection when it was first required and then maintain that connection until the session was closed. Hibernate 3.x introduced the notion of connection release modes that would instruct a session how to handle its JDBC connections. The following discussion is pertinent only to connections provided through a configured ConnectionProvider
. User-supplied connections are outside the breadth of this discussion. The different release modes are identified by the enumerated values of org.hibernate.ConnectionReleaseMode
:
ON_CLOSE
: is the legacy behavior described above. The Hibernate session obtains a connection when it first needs to perform some JDBC access and maintains that connection until the session is closed.AFTER_TRANSACTION
: releases connections after aorg.hibernate.Transaction
has been completed.AFTER_STATEMENT
(also referred to as aggressive release): releases connections after every statement execution. This aggressive releasing is skipped if that statement leaves open resources associated with the given session. Currently the only situation where this occurs is through the use oforg.hibernate.ScrollableResults
.
The configuration parameter
hibernate.connection.release_mode
is used to specify which release mode to use. The possible values are as follows:
auto
(the default): this choice delegates to the release mode returned by theorg.hibernate.transaction.TransactionFactory.getDefaultReleaseMode()
method. For JTATransactionFactory, this returns ConnectionReleaseMode.AFTER_STATEMENT; for JDBCTransactionFactory, this returns ConnectionReleaseMode.AFTER_TRANSACTION. Do not change this default behavior as failures due to the value of this setting tend to indicate bugs and/or invalid assumptions in user code.on_close
: uses ConnectionReleaseMode.ON_CLOSE. This setting is left for backwards compatibility, but its use is discouraged.after_transaction
: uses ConnectionReleaseMode.AFTER_TRANSACTION. This setting should not be used in JTA environments. Also note that with ConnectionReleaseMode.AFTER_TRANSACTION, if a session is considered to be in auto-commit mode, connections will be released as if the release mode were AFTER_STATEMENT.after_statement
: uses ConnectionReleaseMode.AFTER_STATEMENT. Additionally, the configuredConnectionProvider
is consulted to see if it supports this setting (supportsAggressiveRelease()
). If not, the release mode is reset to ConnectionReleaseMode.AFTER_TRANSACTION. This setting is only safe in environments where we can either re-acquire the same underlying JDBC connection each time you make a call intoConnectionProvider.getConnection()
or in auto-commit environments where it does not matter if we re-establish the same connection.
It is useful for the application to react to certain events that occur inside Hibernate. This allows for the implementation of generic functionality and the extension of Hibernate functionality.
The
Interceptor
interface provides callbacks from the session to the application, allowing the application to inspect and/or manipulate properties of a persistent object before it is saved, updated, deleted or loaded. One possible use for this is to track auditing information. For example, the following Interceptor
automatically sets the createTimestamp
when an Auditable
is created and updates the lastUpdateTimestamp
property when an Auditable
is updated.
You can either implement
Interceptor
directly or extend EmptyInterceptor
.
package org.hibernate.test; import java.io.Serializable; import java.util.Date; import java.util.Iterator; import org.hibernate.EmptyInterceptor; import org.hibernate.Transaction; import org.hibernate.type.Type; public class AuditInterceptor extends EmptyInterceptor { private int updates; private int creates; private int loads; public void onDelete(Object entity, Serializable id, Object[] state, String[] propertyNames, Type[] types) { // do nothing } public boolean onFlushDirty(Object entity, Serializable id, Object[] currentState, Object[] previousState, String[] propertyNames, Type[] types) { if ( entity instanceof Auditable ) { updates++; for ( int i=0; i < propertyNames.length; i++ ) { if ( "lastUpdateTimestamp".equals( propertyNames[i] ) ) { currentState[i] = new Date(); return true; } } } return false; } public boolean onLoad(Object entity, Serializable id, Object[] state, String[] propertyNames, Type[] types) { if ( entity instanceof Auditable ) { loads++; } return false; } public boolean onSave(Object entity, Serializable id, Object[] state, String[] propertyNames, Type[] types) { if ( entity instanceof Auditable ) { creates++; for ( int i=0; i<propertyNames.length; i++ ) { if ( "createTimestamp".equals( propertyNames[i] ) ) { state[i] = new Date(); return true; } } } return false; } public void afterTransactionCompletion(Transaction tx) { if ( tx.wasCommitted() ) { System.out.println("Creations: " + creates + ", Updates: " + updates, "Loads: " + loads); } updates=0; creates=0; loads=0; } }
There are two kinds of inteceptors:
Session
-scoped and SessionFactory
-scoped.
Session
-영역의 인터셉터는 세션이 하나의 Interceptor
를 수용하는 오버로드된 SessionFactory.openSession() 메소드들 중 하나를 사용하여 열릴 때 지정된다.
Session session = sf.openSession( new AuditInterceptor() );
A
SessionFactory
-scoped interceptor is registered with the Configuration
object prior to building the SessionFactory
. Unless a session is opened explicitly specifying the interceptor to use, the supplied interceptor will be applied to all sessions opened from that SessionFactory
. SessionFactory
-scoped interceptors must be thread safe. Ensure that you do not store session-specific states, since multiple sessions will use this interceptor potentially concurrently.
new Configuration().setInterceptor( new AuditInterceptor() );
If you have to react to particular events in your persistence layer, you can also use the Hibernate3 event architecture. The event system can be used in addition, or as a replacement, for interceptors.
All the methods of the
Session
interface correlate to an event. You have a LoadEvent
, a FlushEvent
, etc. Consult the XML configuration-file DTD or the org.hibernate.event
package for the full list of defined event types. When a request is made of one of these methods, the Hibernate Session
generates an appropriate event and passes it to the configured event listeners for that type. Out-of-the-box, these listeners implement the same processing in which those methods always resulted. However, you are free to implement a customization of one of the listener interfaces (i.e., the LoadEvent
is processed by the registered implementation of the LoadEventListener
interface), in which case their implementation would be responsible for processing any load()
requests made of the Session
.
The listeners should be considered singletons. This means they are shared between requests, and should not save any state as instance variables.
A custom listener implements the appropriate interface for the event it wants to process and/or extend one of the convenience base classes (or even the default event listeners used by Hibernate out-of-the-box as these are declared non-final for this purpose). Custom listeners can either be registered programmatically through the
Configuration
object, or specified in the Hibernate configuration XML. Declarative configuration through the properties file is not supported. Here is an example of a custom load event listener:
public class MyLoadListener implements LoadEventListener { // this is the single method defined by the LoadEventListener interface public void onLoad(LoadEvent event, LoadEventListener.LoadType loadType) throws HibernateException { if ( !MySecurity.isAuthorized( event.getEntityClassName(), event.getEntityId() ) ) { throw MySecurityException("Unauthorized access"); } } }
당신은 또한 디폴트 리스너에 덧붙여 그 리스너를 사용하도록 Hibernate에게 알려주는 구성 엔트리를 필요로 한다:
<hibernate-configuration> <session-factory> ... <event type="load"> <listener class="com.eg.MyLoadListener"/> <listener class="org.hibernate.event.def.DefaultLoadEventListener"/> </event> </session-factory> </hibernate-configuration>
Instead, you can register it programmatically:
Configuration cfg = new Configuration(); LoadEventListener[] stack = { new MyLoadListener(), new DefaultLoadEventListener() }; cfg.EventListeners().setLoadEventListeners(stack);
Listeners registered declaratively cannot share instances. If the same class name is used in multiple
<listener/>
elements, each reference will result in a separate instance of that class. If you need to share listener instances between listener types you must use the programmatic registration approach.
Why implement an interface and define the specific type during configuration? A listener implementation could implement multiple event listener interfaces. Having the type additionally defined during registration makes it easier to turn custom listeners on or off during configuration.
Usually, declarative security in Hibernate applications is managed in a session facade layer. Hibernate3 allows certain actions to be permissioned via JACC, and authorized via JAAS. This is an optional functionality that is built on top of the event architecture.
먼저, 당신은 JAAS authorization 사용을 이용 가능하도록 하기 위해 적절한 이벤트 리스터들을 구성해야 한다.
<listener type="pre-delete" class="org.hibernate.secure.JACCPreDeleteEventListener"/> <listener type="pre-update" class="org.hibernate.secure.JACCPreUpdateEventListener"/> <listener type="pre-insert" class="org.hibernate.secure.JACCPreInsertEventListener"/> <listener type="pre-load" class="org.hibernate.secure.JACCPreLoadEventListener"/>
Note that
<listener type="..." class="..."/>
is shorthand for <event type="..."><listener class="..."/></event>
when there is exactly one listener for a particular event type.
Next, while still in
hibernate.cfg.xml
, bind the permissions to roles:
<grant role="admin" entity-name="User" actions="insert,update,read"/> <grant role="su" entity-name="User" actions="*"/>
역할(role) 이름들은 당신의 JACC 프로바이더에 의해 인지된 역할(role)들이다.
A naive approach to inserting 100,000 rows in the database using Hibernate might look like this:
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); for ( int i=0; i<100000; i++ ) { Customer customer = new Customer(.....); session.save(customer); } tx.commit(); session.close();
This would fall over with an
OutOfMemoryException
somewhere around the 50,000th row. That is because Hibernate caches all the newly inserted Customer
instances in the session-level cache. In this chapter we will show you how to avoid this problem.
If you are undertaking batch processing you will need to enable the use of JDBC batching. This is absolutely essential if you want to achieve optimal performance. Set the JDBC batch size to a reasonable number (10-50, for example):
hibernate.jdbc.batch_size 20
Hibernate disables insert batching at the JDBC level transparently if you use an
identity
identifier generator.
You can also do this kind of work in a process where interaction with the second-level cache is completely disabled:
hibernate.cache.use_second_level_cache false
íì§ë§ ì´ê²ì ì ëì ì¼ë¡ íìíì§ ìë¤. ìëíë©´ ì°ë¦¬ë second-level ìºììì ìí¸ìì©ì ë¶ê°ë¥íëë¡ í기 ìí´ ëª
ìì ì¼ë¡
CacheMode
를 ì¤ì í ì ì기 ë문ì´ë¤.
When making new objects persistent
flush()
and then clear()
the session regularly in order to control the size of the first-level cache.
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); for ( int i=0; i<100000; i++ ) { Customer customer = new Customer(.....); session.save(customer); if ( i % 20 == 0 ) { //20, same as the JDBC batch size //flush a batch of inserts and release memory: session.flush(); session.clear(); } } tx.commit(); session.close();
For retrieving and updating data, the same ideas apply. In addition, you need to use
scroll()
to take advantage of server-side cursors for queries that return many rows of data.
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); ScrollableResults customers = session.getNamedQuery("GetCustomers") .setCacheMode(CacheMode.IGNORE) .scroll(ScrollMode.FORWARD_ONLY); int count=0; while ( customers.next() ) { Customer customer = (Customer) customers.get(0); customer.updateStuff(...); if ( ++count % 20 == 0 ) { //flush a batch of updates and release memory: session.flush(); session.clear(); } } tx.commit(); session.close();
Alternatively, Hibernate provides a command-oriented API that can be used for streaming data to and from the database in the form of detached objects. A
StatelessSession
has no persistence context associated with it and does not provide many of the higher-level life cycle semantics. In particular, a stateless session does not implement a first-level cache nor interact with any second-level or query cache. It does not implement transactional write-behind or automatic dirty checking. Operations performed using a stateless session never cascade to associated instances. Collections are ignored by a stateless session. Operations performed via a stateless session bypass Hibernate's event model and interceptors. Due to the lack of a first-level cache, Stateless sessions are vulnerable to data aliasing effects. A stateless session is a lower-level abstraction that is much closer to the underlying JDBC.
StatelessSession session = sessionFactory.openStatelessSession(); Transaction tx = session.beginTransaction(); ScrollableResults customers = session.getNamedQuery("GetCustomers") .scroll(ScrollMode.FORWARD_ONLY); while ( customers.next() ) { Customer customer = (Customer) customers.get(0); customer.updateStuff(...); session.update(customer); } tx.commit(); session.close();
In this code example, the
Customer
instances returned by the query are immediately detached. They are never associated with any persistence context.
The
insert(), update()
and delete()
operations defined by the StatelessSession
interface are considered to be direct database row-level operations. They result in the immediate execution of a SQL INSERT, UPDATE
or DELETE
respectively. They have different semantics to the save(), saveOrUpdate()
and delete()
operations defined by the Session
interface.
As already discussed, automatic and transparent object/relational mapping is concerned with the management of the object state. The object state is available in memory. This means that manipulating data directly in the database (using the SQL
Data Manipulation Language
(DML) the statements: INSERT
, UPDATE
, DELETE
) will not affect in-memory state. However, Hibernate provides methods for bulk SQL-style DML statement execution that is performed through the Hibernate Query Language (HQL).
The pseudo-syntax for
UPDATE
and DELETE
statements is: ( UPDATE | DELETE ) FROM? EntityName (WHERE where_conditions)?
.
Some points to note:
from-ì ìì, FROM í¤ìëë ìµì ì´ë¤
There can only be a single entity named in the from-clause. It can, however, be aliased. If the entity name is aliased, then any property references must be qualified using that alias. If the entity name is not aliased, then it is illegal for any property references to be qualified.
No joins, either implicit or explicit, can be specified in a bulk HQL query. Sub-queries can be used in the where-clause, where the subqueries themselves may contain joins.
where-ì ëí ìµì ì´ë¤.
As an example, to execute an HQL
UPDATE
, use the Query.executeUpdate()
method. The method is named for those familiar with JDBC's PreparedStatement.executeUpdate()
:
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); String hqlUpdate = "update Customer c set c.name = :newName where c.name = :oldName"; // or String hqlUpdate = "update Customer set name = :newName where name = :oldName"; int updatedEntities = s.createQuery( hqlUpdate ) .setString( "newName", newName ) .setString( "oldName", oldName ) .executeUpdate(); tx.commit(); session.close();
In keeping with the EJB3 specification, HQL
UPDATE
statements, by default, do not effect the version or the timestamp property values for the affected entities. However, you can force Hibernate to reset the version
or timestamp
property values through the use of a versioned update
. This is achieved by adding the VERSIONED
keyword after the UPDATE
keyword.
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); String hqlVersionedUpdate = "update versioned Customer set name = :newName where name = :oldName"; int updatedEntities = s.createQuery( hqlUpdate ) .setString( "newName", newName ) .setString( "oldName", oldName ) .executeUpdate(); tx.commit(); session.close();
Custom version types,
org.hibernate.usertype.UserVersionType
, are not allowed in conjunction with a update versioned
statement.
HQL
DELETE
를 ì¤ííë ¤ë©´, ê°ì ë©ìë Query.executeUpdate()
를 ì¬ì©íë¼:
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); String hqlDelete = "delete Customer c where c.name = :oldName"; // or String hqlDelete = "delete Customer where name = :oldName"; int deletedEntities = s.createQuery( hqlDelete ) .setString( "oldName", oldName ) .executeUpdate(); tx.commit(); session.close();
The
int
value returned by the Query.executeUpdate()
method indicates the number of entities effected by the operation. This may or may not correlate to the number of rows effected in the database. An HQL bulk operation might result in multiple actual SQL statements being executed (for joined-subclass, for example). The returned number indicates the number of actual entities affected by the statement. Going back to the example of joined-subclass, a delete against one of the subclasses may actually result in deletes against not just the table to which that subclass is mapped, but also the "root" table and potentially joined-subclass tables further down the inheritance hierarchy.
ì¥ëì ë°°í¬ë³¸ë¤ìì ì ë¬ë ëë HQL ì¤í¼ë ì´ì
ë¤ì ëí ëª ê°ì§ ì íë¤ì´ íì¬ ì¡´ì¬í¨ì ë
¸í¸íë¼; ìì¸í ê²ì JIRA ë¡ë맵ì 참조íë¼.
INSERT
문ì¥ë¤ì ìí ì ì¬-구문ì ë¤ìê³¼ ê°ë¤: INSERT INTO EntityName properties_list select_statement
. ë
¸í¸í ëª ê°ì§:
ì¤ì§ INSERT INTO ... SELECT ... íì ë§ì¼ ì§ìëë¤; INSERT INTO ... VALUES ... íìì ì§ìëì§ ìëë¤.
The properties_list is analogous to the
column specification
in the SQLINSERT
statement. For entities involved in mapped inheritance, only properties directly defined on that given class-level can be used in the properties_list. Superclass properties are not allowed and subclass properties do not make sense. In other words,INSERT
statements are inherently non-polymorphic.select_statement can be any valid HQL select query, with the caveat that the return types must match the types expected by the insert. Currently, this is checked during query compilation rather than allowing the check to relegate to the database. This might, however, cause problems between Hibernate
Type
s which are equivalent as opposed to equal. This might cause issues with mismatches between a property defined as aorg.hibernate.type.DateType
and a property defined as aorg.hibernate.type.TimestampType
, even though the database might not make a distinction or might be able to handle the conversion.For the id property, the insert statement gives you two options. You can either explicitly specify the id property in the properties_list, in which case its value is taken from the corresponding select expression, or omit it from the properties_list, in which case a generated value is used. This latter option is only available when using id generators that operate in the database; attempting to use this option with any "in memory" type generators will cause an exception during parsing. For the purposes of this discussion, in-database generators are considered to be
org.hibernate.id.SequenceGenerator
(and its subclasses) and any implementers oforg.hibernate.id.PostInsertIdentifierGenerator
. The most notable exception here isorg.hibernate.id.TableHiLoGenerator
, which cannot be used because it does not expose a selectable way to get its values.For properties mapped as either
version
ortimestamp
, the insert statement gives you two options. You can either specify the property in the properties_list, in which case its value is taken from the corresponding select expressions, or omit it from the properties_list, in which case theseed value
defined by theorg.hibernate.type.VersionType
is used.
The following is an example of an HQL
INSERT
statement execution:
Session session = sessionFactory.openSession(); Transaction tx = session.beginTransaction(); String hqlInsert = "insert into DelinquentAccount (id, name) select c.id, c.name from Customer c where ..."; int createdEntities = s.createQuery( hqlInsert ) .executeUpdate(); tx.commit(); session.close();
14.1. 대소문자 구분
14.2. from 절
14.3. 연관들과 조인들
14.4. join 구문의 형식들
14.5. Referring to identifier property
14.6. select 절
14.7. 집계 함수들
14.8. Polymorphic(다형성) 질의들
14.9. where 절
14.10. 표현식들
14.11. order by 절
14.12. group by 절
14.13. 서브질의들
14.14. HQL 예제들
14.15. 대량 update와 delete
14.16. 팁들 & 트릭들
14.17. 컴포넌트들
14.18. Row value constructor 구문
Hibernate uses a powerful query language (HQL) that is similar in appearance to SQL. Compared with SQL, however, HQL is fully object-oriented and understands notions like inheritance, polymorphism and association.
With the exception of names of Java classes and properties, queries are case-insensitive. So
SeLeCT
is the same as sELEct
is the same as SELECT
, but org.hibernate.eg.FOO
is not org.hibernate.eg.Foo
, and foo.barSet
is not foo.BARSET
.
This manual uses lowercase HQL keywords. Some users find queries with uppercase keywords more readable, but this convention is unsuitable for queries embedded in Java code.
가장 간단한 가능한 Hibernate 질의는 다음 형식이다:
from eg.Cat
This returns all instances of the class
eg.Cat
. You do not usually need to qualify the class name, since auto-import
is the default. For example:
from Cat
In order to refer to the
Cat
in other parts of the query, you will need to assign an alias. For example:
from Cat as cat
This query assigns the alias
cat
to Cat
instances, so you can use that alias later in the query. The as
keyword is optional. You could also write:
from Cat cat
Multiple classes can appear, resulting in a cartesian product or "cross" join.
from Formula, Parameter
from Formula as form, Parameter as param
It is good practice to name query aliases using an initial lowercase as this is consistent with Java naming standards for local variables (e.g.
domesticCat
).
You can also assign aliases to associated entities or to elements of a collection of values using a
join
. For example:
from Cat as cat inner join cat.mate as mate left outer join cat.kittens as kitten
from Cat as cat left join cat.mate.kittens as kittens
from Formula form full join form.parameter param
The supported join types are borrowed from ANSI SQL:
full join
(대개 유용하지 않음)
inner join
, left outer join
, 그리고 right outer join
구조체들이 약칭될 수 있다.
from Cat as cat join cat.mate as mate left join cat.kittens as kitten
당신은 HQL
with
키워드를 사용하여 특별한 조인 조건들을 제공할 수 있다.
from Cat as cat left join cat.kittens as kitten with kitten.bodyWeight > 10.0
A "fetch" join allows associations or collections of values to be initialized along with their parent objects using a single select. This is particularly useful in the case of a collection. It effectively overrides the outer join and lazy declarations of the mapping file for associations and collections. See 19.1절. “페칭 방도들” for more information.
from Cat as cat inner join fetch cat.mate left join fetch cat.kittens
A fetch join does not usually need to assign an alias, because the associated objects should not be used in the
where
clause (or any other clause). The associated objects are also not returned directly in the query results. Instead, they may be accessed via the parent object. The only reason you might need an alias is if you are recursively join fetching a further collection:
from Cat as cat inner join fetch cat.mate left join fetch cat.kittens child left join fetch child.kittens
The
fetch
construct cannot be used in queries called using iterate()
(though scroll()
can be used). Fetch
should be used together with setMaxResults()
or setFirstResult()
, as these operations are based on the result rows which usually contain duplicates for eager collection fetching, hence, the number of rows is not what you would expect. Fetch
should also not be used together with impromptu with
condition. It is possible to create a cartesian product by join fetching more than one collection in a query, so take care in this case. Join fetching multiple collection roles can produce unexpected results for bag mappings, so user discretion is advised when formulating queries in this case. Finally, note that full join fetch
and right join fetch
are not meaningful.
If you are using property-level lazy fetching (with bytecode instrumentation), it is possible to force Hibernate to fetch the lazy properties in the first query immediately using
fetch all properties
.
from Document fetch all properties order by name
from Document doc fetch all properties where lower(doc.name) like '%cats%'
HQL은 두 가지 형식의 연관 조인을 지원한다:
암묵적
그리고 명시적
.
The queries shown in the previous section all use the
explicit
form, that is, where the join keyword is explicitly used in the from clause. This is the recommended form.
함축적인
형식은 join 키워드를 사용하지 않는다. 대신에, 연관들은 dot(.) 표기를 사용하여 "dot-참조된다(dereferenced)". 함축적인
조인들은 임의의 HQL 절들내에 나타날 수 있다. 함축적인
join은 결과되는 SQL 문장에서 inner join으로 귀결된다.
from Cat as cat where cat.mate.name like '%s%'
There are 2 ways to refer to an entity's identifier property:
The special property (lowercase)
id
may be used to reference the identifier property of an entity provided that the entity does not define a non-identifier property named id.If the entity defines a named identifier property, you can use that property name.
References to composite identifier properties follow the same naming rules. If the entity has a non-identifier property named id, the composite identifier property can only be referenced by its defined named. Otherwise, the special
id
property can be used to reference the identifier property.
The
select
clause picks which objects and properties to return in the query result set. Consider the following:
select mate from Cat as cat inner join cat.mate as mate
The query will select
mate
s of other Cat
s. You can express this query more compactly as:
select cat.mate from Cat cat
Queries can return properties of any value type including properties of component type:
select cat.name from DomesticCat cat where cat.name like 'fri%'
select cust.name.firstName from Customer as cust
Queries can return multiple objects and/or properties as an array of type
Object[]
:
select mother, offspr, mate.name from DomesticCat as mother inner join mother.mate as mate left outer join mother.kittens as offspr
Or as a
List
:
select new list(mother, offspr, mate.name) from DomesticCat as mother inner join mother.mate as mate left outer join mother.kittens as offspr
Or - assuming that the class
Family
has an appropriate constructor - as an actual typesafe Java object:
select new Family(mother, mate, offspr) from DomesticCat as mother join mother.mate as mate left join mother.kittens as offspr
You can assign aliases to selected expressions using
as
:
select max(bodyWeight) as max, min(bodyWeight) as min, count(*) as n from Cat cat
다음은
select new map
과 함께 사용될 때 가장 유용하다:
select new map( max(bodyWeight) as max, min(bodyWeight) as min, count(*) as n ) from Cat cat
이 질의는 select된 값들에 대한 alias로부터 한 개의
Map
을 반환한다.
HQL queries can even return the results of aggregate functions on properties:
select avg(cat.weight), sum(cat.weight), max(cat.weight), count(cat) from Cat cat
The supported aggregate functions are:
You can use arithmetic operators, concatenation, and recognized SQL functions in the select clause:
select cat.weight + sum(kitten.weight) from Cat cat join cat.kittens kitten group by cat.id, cat.weight
select firstName||' '||initial||' '||upper(lastName) from Person
The
distinct
and all
keywords can be used and have the same semantics as in SQL.
select distinct cat.name from Cat cat select count(distinct cat.name), count(cat) from Cat cat
다음과 같은 질의:
from Cat as cat
returns instances not only of
Cat
, but also of subclasses like DomesticCat
. Hibernate queries can name any Java class or interface in the from
clause. The query will return instances of all persistent classes that extend that class or implement the interface. The following query would return all persistent objects:
from java.lang.Object o
인터페이스
Named
는 여러 가지 영속 클래스들에 의해 구현될 수도 있다:
from Named n, Named m where n.name = m.name
These last two queries will require more than one SQL
SELECT
. This means that the order by
clause does not correctly order the whole result set. It also means you cannot call these queries using Query.scroll()
.
The
where
clause allows you to refine the list of instances returned. If no alias exists, you can refer to properties by name:
from Cat where name='Fritz'
만일 한 개의 alias가 존재할 경우, 하나의 수식어가 붙은 프로퍼티 이름을 사용하라:
from Cat as cat where cat.name='Fritz'
This returns instances of
Cat
named 'Fritz'.
The following query:
select foo from Foo foo, Bar bar where foo.startDate = bar.date
returns all instances of
Foo
with an instance of bar
with a date
property equal to the startDate
property of the Foo
. Compound path expressions make the where
clause extremely powerful. Consider the following:
from Cat cat where cat.mate.name is not null
This query translates to an SQL query with a table (inner) join. For example:
from Foo foo where foo.bar.baz.customer.address.city is not null
would result in a query that would require four table joins in SQL.
The
=
operator can be used to compare not only properties, but also instances:
from Cat cat, Cat rival where cat.mate = rival.mate
select cat, mate from Cat cat, Cat mate where cat.mate = mate
The special property (lowercase)
id
can be used to reference the unique identifier of an object. See 14.5절. “Referring to identifier property” for more information.
from Cat as cat where cat.id = 123 from Cat as cat where cat.mate.id = 69
The second query is efficient and does not require a table join.
Properties of composite identifiers can also be used. Consider the following example where
Person
has composite identifiers consisting of country
and medicareNumber
:
from bank.Person person where person.id.country = 'AU' and person.id.medicareNumber = 123456
from bank.Account account where account.owner.id.country = 'AU' and account.owner.id.medicareNumber = 123456
Once again, the second query does not require a table join.
See 14.5절. “Referring to identifier property” for more information regarding referencing identifier properties)
The special property
class
accesses the discriminator value of an instance in the case of polymorphic persistence. A Java class name embedded in the where clause will be translated to its discriminator value.
from Cat cat where cat.class = DomesticCat
You can also use components or composite user types, or properties of said component types. See 14.17절. “컴포넌트들” for more information.
An "any" type has the special properties
id
and class
that allows you to express a join in the following way (where AuditLog.item
is a property mapped with <any>
):
from AuditLog log, Payment payment where log.item.class = 'Payment' and log.item.id = payment.id
The
log.item.class
and payment.class
would refer to the values of completely different database columns in the above query.
Expressions used in the
where
clause include the following:
Parentheses
( )
that indicates groupingin
,not in
,between
,is null
,is not null
,is empty
,is not empty
,member of
andnot member of
"간단한" 경우,
case ... when ... then ... else ... end
, 그리고 "검색인" 경우,case when ... then ... else ... end
second(...)
,minute(...)
,hour(...)
,day(...)
,month(...)
, andyear(...)
cast(... as ...)
, 여기서 두번 째 아규먼트는 Hibernate 타입의 이름이고, ANSIcast()
와extract()
가 기반 데이터베이스에 의해 지원될 경우에는extract(... from ...)
.조인된 인덱싱된 콜렉션의 alias들에 적용되는, HQL
index()
함수HQL functions that take collection-valued path expressions:
size(), minelement(), maxelement(), minindex(), maxindex()
, along with the specialelements()
andindices
functions that can be quantified usingsome, all, exists, any, in
.Any database-supported SQL scalar function like
sign()
,trunc()
,rtrim()
, andsin()
in
and between
can be used as follows:
from DomesticCat cat where cat.name between 'A' and 'B'
from DomesticCat cat where cat.name in ( 'Foo', 'Bar', 'Baz' )
The negated forms can be written as follows:
from DomesticCat cat where cat.name not between 'A' and 'B'
from DomesticCat cat where cat.name not in ( 'Foo', 'Bar', 'Baz' )
Similarly,
is null
and is not null
can be used to test for null values.
Booleans can be easily used in expressions by declaring HQL query substitutions in Hibernate configuration:
<property name="hibernate.query.substitutions">true 1, false 0</property>
이것은 키워드
true
와 false
키워드들을 이 HQL로부터 번역된 SQL에서 리터럴 1
과 0
으로 대체될 것이다:
from Cat cat where cat.alive = true
You can test the size of a collection with the special property
size
or the special size()
function.
from Cat cat where cat.kittens.size > 0
from Cat cat where size(cat.kittens) > 0
For indexed collections, you can refer to the minimum and maximum indices using
minindex
and maxindex
functions. Similarly, you can refer to the minimum and maximum elements of a collection of basic type using the minelement
and maxelement
functions. For example:
from Calendar cal where maxelement(cal.holidays) > current_date
from Order order where maxindex(order.items) > 100
from Order order where minelement(order.items) > 10000
The SQL functions
any, some, all, exists, in
are supported when passed the element or index set of a collection (elements
and indices
functions) or the result of a subquery (see below):
select mother from Cat as mother, Cat as kit where kit in elements(foo.kittens)
select p from NameList list, Person p where p.name = some elements(list.names)
from Cat cat where exists elements(cat.kittens)
from Player p where 3 > all elements(p.scores)
from Show show where 'fizard' in indices(show.acts)
Note that these constructs -
size
, elements
, indices
, minindex
, maxindex
, minelement
, maxelement
- can only be used in the where clause in Hibernate3.
Elements of indexed collections (arrays, lists, and maps) can be referred to by index in a where clause only:
from Order order where order.items[0].id = 1234
select person from Person person, Calendar calendar where calendar.holidays['national day'] = person.birthDay and person.nationality.calendar = calendar
select item from Item item, Order order where order.items[ order.deliveredItemIndices[0] ] = item and order.id = 11
select item from Item item, Order order where order.items[ maxindex(order.items) ] = item and order.id = 11
The expression inside
[]
can even be an arithmetic expression:
select item from Item item, Order order where order.items[ size(order.items) - 1 ] = item
HQL also provides the built-in
index()
function for elements of a one-to-many association or collection of values.
select item, index(item) from Order order join order.items item where index(item) < 5
Scalar SQL functions supported by the underlying database can be used:
from DomesticCat cat where upper(cat.name) like 'FRI%'
Consider how much longer and less readable the following query would be in SQL:
select cust from Product prod, Store store inner join store.customers cust where prod.name = 'widget' and store.location.name in ( 'Melbourne', 'Sydney' ) and prod = all elements(cust.currentOrder.lineItems)
힌트 : 다음과 같은 어떤 것
SELECT cust.name, cust.address, cust.phone, cust.id, cust.current_order FROM customers cust, stores store, locations loc, store_customers sc, product prod WHERE prod.name = 'widget' AND store.loc_id = loc.id AND loc.name IN ( 'Melbourne', 'Sydney' ) AND sc.store_id = store.id AND sc.cust_id = cust.id AND prod.id = ALL( SELECT item.prod_id FROM line_items item, orders o WHERE item.order_id = o.id AND cust.current_order = o.id )
The list returned by a query can be ordered by any property of a returned class or components:
from DomesticCat cat order by cat.name asc, cat.weight desc, cat.birthdate
asc
옵션 또는 desc
옵션은 각각 오름차순 또는 내림차순 정렬을 나타낸다.
A query that returns aggregate values can be grouped by any property of a returned class or components:
select cat.color, sum(cat.weight), count(cat) from Cat cat group by cat.color
select foo.id, avg(name), max(name) from Foo foo join foo.names name group by foo.id
또한
having
절이 허용된다.
select cat.color, sum(cat.weight), count(cat) from Cat cat group by cat.color having cat.color in (eg.Color.TABBY, eg.Color.BLACK)
SQL functions and aggregate functions are allowed in the
having
and order by
clauses if they are supported by the underlying database (i.e., not in MySQL).
select cat from Cat cat join cat.kittens kitten group by cat.id, cat.name, cat.other, cat.properties having avg(kitten.weight) > 100 order by count(kitten) asc, sum(kitten.weight) desc
Neither the
group by
clause nor the order by
clause can contain arithmetic expressions. Hibernate also does not currently expand a grouped entity, so you cannot write group by cat
if all properties of cat
are non-aggregated. You have to list all non-aggregated properties explicitly.
subselect들을 지원하는 데이터베이스들의 경우, Hibernate는 질의들 내에 서브질의들을 지원한다. 서브질의는 괄호로 묶여져야 한다(자주 SQL 집계함수 호출에 의해). 심지어 서로 상관된 서브질의들(외부 질의 내에서 alias를 참조하는 서브질의들)이 허용된다.
from Cat as fatcat where fatcat.weight > ( select avg(cat.weight) from DomesticCat cat )
from DomesticCat as cat where cat.name = some ( select name.nickName from Name as name )
from Cat as cat where not exists ( from Cat as mate where mate.mate = cat )
from DomesticCat as cat where cat.name not in ( select name.nickName from Name as name )
select cat.id, (select max(kit.weight) from cat.kitten kit) from Cat as cat
Note that HQL subqueries can occur only in the select or where clauses.
Note that subqueries can also utilize
row value constructor
syntax. See 14.18절. “Row value constructor 구문” for more information.
Hibernate queries can be quite powerful and complex. In fact, the power of the query language is one of Hibernate's main strengths. The following example queries are similar to queries that have been used on recent projects. Please note that most queries you will write will be much simpler than the following examples.
The following query returns the order id, number of items, the given minimum total value and the total value of the order for all unpaid orders for a particular customer. The results are ordered by total value. In determining the prices, it uses the current catalog. The resulting SQL query, against the
ORDER
, ORDER_LINE
, PRODUCT
, CATALOG
and PRICE
tables has four inner joins and an (uncorrelated) subselect.
select order.id, sum(price.amount), count(item) from Order as order join order.lineItems as item join item.product as product, Catalog as catalog join catalog.prices as price where order.paid = false and order.customer = :customer and price.product = product and catalog.effectiveDate < sysdate and catalog.effectiveDate >= all ( select cat.effectiveDate from Catalog as cat where cat.effectiveDate < sysdate ) group by order having sum(price.amount) > :minAmount order by sum(price.amount) desc
괴물 같은 것! 실제로 실 생활에서, 나는 서브질의들을 매우 좋아하지 않아서, 나의 질의는 실제로 다음과 같았다:
select order.id, sum(price.amount), count(item) from Order as order join order.lineItems as item join item.product as product, Catalog as catalog join catalog.prices as price where order.paid = false and order.customer = :customer and price.product = product and catalog = :currentCatalog group by order having sum(price.amount) > :minAmount order by sum(price.amount) desc
다음 질의는 현재 사용자에 의해 가장 최근의 상태 변경이 행해졌던
AWAITING_APPROVAL
상태에 있는 모든 지불들을 제외한, 각각의 상태에 있는 지불들의 개수를 카운트 한다. 그것은 PAYMENT
, PAYMENT_STATUS
, PAYMENT_STATUS_CHANGE
테이블들에 대한 두 개의 inner 조인들과 하나의 상관관계 지워진 subselect를 가진 SQL 질의로 변환된다.
select count(payment), status.name from Payment as payment join payment.currentStatus as status join payment.statusChanges as statusChange where payment.status.name <> PaymentStatus.AWAITING_APPROVAL or ( statusChange.timeStamp = ( select max(change.timeStamp) from PaymentStatusChange change where change.payment = payment ) and statusChange.user <> :currentUser ) group by status.name, status.sortOrder order by status.sortOrder
If the
statusChanges
collection was mapped as a list, instead of a set, the query would have been much simpler to write.
select count(payment), status.name from Payment as payment join payment.currentStatus as status where payment.status.name <> PaymentStatus.AWAITING_APPROVAL or payment.statusChanges[ maxIndex(payment.statusChanges) ].user <> :currentUser group by status.name, status.sortOrder order by status.sortOrder
다음 질의는 현재의 사용자가 속해 있는 조직의 모든 계정들과 지불되지 않은 지불들을 반환하는데 MS SQL Server
isNull()
함수를 사용한다. 그것은 ACCOUNT
, PAYMENT
, PAYMENT_STATUS
, ACCOUNT_TYPE
, ORGANIZATION
, ORG_USER
테이블들에 대한 세 개의 inner 조인들, 하나의 outer 조인, 그리고 하나의 subselect를 가진 한 개의 SQL 질의로 번역된다.
select account, payment from Account as account left outer join account.payments as payment where :currentUser in elements(account.holder.users) and PaymentStatus.UNPAID = isNull(payment.currentStatus.name, PaymentStatus.UNPAID) order by account.type.sortOrder, account.accountNumber, payment.dueDate
몇몇 데이터베이스들의 경우, 우리는 (상관관계 지워진) subselect를 없앨 필요가 있을 것이다.
select account, payment from Account as account join account.holder.users as user left outer join account.payments as payment where :currentUser = user and PaymentStatus.UNPAID = isNull(payment.currentStatus.name, PaymentStatus.UNPAID) order by account.type.sortOrder, account.accountNumber, payment.dueDate
HQL now supports
update
, delete
and insert ... select ...
statements. See 13.4절. “DML-ì¤íì¼ ì°ì°ë¤” for more information.
You can count the number of query results without returning them:
( (Integer) session.createQuery("select count(*) from ....").iterate().next() ).intValue()
콜렉션의 크기에 따라 결과를 순서(ordering)지우려면, 다음 질의를 사용하라:
select usr.id, usr.name from User as usr left join usr.messages as msg group by usr.id, usr.name order by count(msg)
만일 당신의 데이터베이스가 subselect들을 지원할 경우, 당신은 당신의 질의의 where 절 내에 selection 사이즈에 대한 조건을 위치지울 수 있다:
from User usr where size(usr.messages) >= 1
If your database does not support subselects, use the following query:
select usr.id, usr.name from User usr.name join usr.messages msg group by usr.id, usr.name having count(msg) >= 1
As this solution cannot return a
User
with zero messages because of the inner join, the following form is also useful:
select usr.id, usr.name from User as usr left join usr.messages as msg group by usr.id, usr.name having count(msg) = 0
하나의 JavaBean의 프로퍼티들은 명명된 질의 파라미터들에 바인드될 수 있다:
Query q = s.createQuery("from foo Foo as foo where foo.name=:name and foo.size=:size"); q.setProperties(fooBean); // fooBean has getName() and getSize() List foos = q.list();
콜렉션들은 필터를 가진
Query
인터페이스를 사용하여 쪼매김하는 것이 가능하다:
Query q = s.createFilter( collection, "" ); // the trivial filter q.setMaxResults(PAGE_SIZE); q.setFirstResult(PAGE_SIZE * pageNumber); List page = q.list();
Collection elements can be ordered or grouped using a query filter:
Collection orderedCollection = s.filter( collection, "order by this.amount" ); Collection counts = s.filter( collection, "select this.type, count(this) group by this.type" );
당신은 콜렉션을 초기화 하지 않고서 그것(콜렉션)의 크기를 찾을 수 있다:
( (Integer) session.createQuery("select count(*) from ....").iterate().next() ).intValue();
Components can be used similarly to the simple value types that are used in HQL queries. They can appear in the
select
clause as follows:
select p.name from Person p
select p.name.first from Person p
여기서 Person의 name 속성은 컴포넌트이다. 컴포넌트들은 또한
where
절 내에 사용될 수 있다:
from Person p where p.name = :name
from Person p where p.name.first = :firstName
컴포넌트들은 또한
order by
절 내에 사용될 수 있다:
from Person p order by p.name
from Person p order by p.name.first
컴포넌트들에 대한 또 다른 공통적인 사용은 14.18절. “Row value constructor 구문”에 있다.
HQL supports the use of ANSI SQL
row value constructor
syntax, sometimes referred to AS tuple
syntax, even though the underlying database may not support that notion. Here, we are generally referring to multi-valued comparisons, typically associated with components. Consider an entity Person which defines a name component:
from Person p where p.name.first='John' and p.name.last='Jingleheimer-Schmidt'
That is valid syntax although it is a little verbose. You can make this more concise by using
row value constructor
syntax:
from Person p where p.name=('John', 'Jingleheimer-Schmidt')
select
절 내에 이것을 지정하는 것이 또한 유용할 수 있다:
select p.name from Person p
Using
row value constructor
syntax can also be beneficial when using subqueries that need to compare against multiple values:
from Cat as cat where not ( cat.name, cat.color ) in ( select cat.name, cat.color from DomesticCat cat )
One thing to consider when deciding if you want to use this syntax, is that the query will be dependent upon the ordering of the component sub-properties in the metadata.
Hibernate는 직관적인, 확장 가능한 criteria query API를 특징 짓는다.
org.hibernate.Criteria
인터페이스는 특정 영속 클래스에 대한 질의를 표현한다. Session
은 Criteria
인스턴스들에 대한 팩토리이다.
Criteria crit = sess.createCriteria(Cat.class); crit.setMaxResults(50); List cats = crit.list();
개별적인 질의 기준은
org.hibernate.criterion.Criterion
인터페이스의 인스턴스이다. org.hibernate.criterion.Restrictions
클래스는 어떤 미리 만들어진 Criterion
타입들을 얻는 팩토리 메소드들을 정의한다.
List cats = sess.createCriteria(Cat.class) .add( Restrictions.like("name", "Fritz%") ) .add( Restrictions.between("weight", minWeight, maxWeight) ) .list();
Restrictions can be grouped logically.
List cats = sess.createCriteria(Cat.class) .add( Restrictions.like("name", "Fritz%") ) .add( Restrictions.or( Restrictions.eq( "age", new Integer(0) ), Restrictions.isNull("age") ) ) .list();
List cats = sess.createCriteria(Cat.class) .add( Restrictions.in( "name", new String[] { "Fritz", "Izi", "Pk" } ) ) .add( Restrictions.disjunction() .add( Restrictions.isNull("age") ) .add( Restrictions.eq("age", new Integer(0) ) ) .add( Restrictions.eq("age", new Integer(1) ) ) .add( Restrictions.eq("age", new Integer(2) ) ) ) ) .list();
There are a range of built-in criterion types (
Restrictions
subclasses). One of the most useful allows you to specify SQL directly.
List cats = sess.createCriteria(Cat.class) .add( Restrictions.sqlRestriction("lower({alias}.name) like lower(?)", "Fritz%", Hibernate.STRING) ) .list();
질의된 엔티티의 행 alias에 의해 대체된
{alias}
placeholder.
You can also obtain a criterion from a
Property
instance. You can create a Property
by calling Property.forName()
:
Property age = Property.forName("age"); List cats = sess.createCriteria(Cat.class) .add( Restrictions.disjunction() .add( age.isNull() ) .add( age.eq( new Integer(0) ) ) .add( age.eq( new Integer(1) ) ) .add( age.eq( new Integer(2) ) ) ) ) .add( Property.forName("name").in( new String[] { "Fritz", "Izi", "Pk" } ) ) .list();
You can order the results using
org.hibernate.criterion.Order
.
List cats = sess.createCriteria(Cat.class) .add( Restrictions.like("name", "F%") .addOrder( Order.asc("name") ) .addOrder( Order.desc("age") ) .setMaxResults(50) .list();
List cats = sess.createCriteria(Cat.class) .add( Property.forName("name").like("F%") ) .addOrder( Property.forName("name").asc() ) .addOrder( Property.forName("age").desc() ) .setMaxResults(50) .list();
By navigating associations using
createCriteria()
you can specify constraints upon related entities:
List cats = sess.createCriteria(Cat.class) .add( Restrictions.like("name", "F%") ) .createCriteria("kittens") .add( Restrictions.like("name", "F%") ) .list();
The second
createCriteria()
returns a new instance of Criteria
that refers to the elements of the kittens
collection.
There is also an alternate form that is useful in certain circumstances:
List cats = sess.createCriteria(Cat.class) .createAlias("kittens", "kt") .createAlias("mate", "mt") .add( Restrictions.eqProperty("kt.name", "mt.name") ) .list();
(
createAlias()
는 Criteria
의 새로운 인스턴스를 생성시키지 않는다.)
The kittens collections held by the
Cat
instances returned by the previous two queries are not pre-filtered by the criteria. If you want to retrieve just the kittens that match the criteria, you must use a ResultTransformer
.
List cats = sess.createCriteria(Cat.class) .createCriteria("kittens", "kt") .add( Restrictions.eq("name", "F%") ) .setResultTransformer(Criteria.ALIAS_TO_ENTITY_MAP) .list(); Iterator iter = cats.iterator(); while ( iter.hasNext() ) { Map map = (Map) iter.next(); Cat cat = (Cat) map.get(Criteria.ROOT_ALIAS); Cat kitten = (Cat) map.get("kt"); }
You can specify association fetching semantics at runtime using
setFetchMode()
.
List cats = sess.createCriteria(Cat.class) .add( Restrictions.like("name", "Fritz%") ) .setFetchMode("mate", FetchMode.EAGER) .setFetchMode("kittens", FetchMode.EAGER) .list();
이 질의는 outer 조인으로
mate
와 kittens
모두를 페치할 것이다. 추가 정보는 19.1절. “페칭 방도들”을 보라.
org.hibernate.criterion.Example
클래스는 주어진 인스턴스로부터 질의 기준(criterion)을 구조화 시키는 것을 당신에게 허용해준다.
Cat cat = new Cat(); cat.setSex('F'); cat.setColor(Color.BLACK); List results = session.createCriteria(Cat.class) .add( Example.create(cat) ) .list();
버전 프로퍼티들, 식별자들, 연관관계들이 무시된다. 디폴트로 null 값 프로퍼티들이 제외된다.
당신은
Example
이 적용되는 방법을 조정할 수 있다.
Example example = Example.create(cat) .excludeZeroes() //exclude zero valued properties .excludeProperty("color") //exclude the property named "color" .ignoreCase() //perform case insensitive string comparisons .enableLike(); //use like for string comparisons List results = session.createCriteria(Cat.class) .add(example) .list();
당신은 연관된 객체들에 대한 criteria(기준)을 위치지우는데 examples를 사용할 수 있다.
List results = session.createCriteria(Cat.class) .add( Example.create(cat) ) .createCriteria("mate") .add( Example.create( cat.getMate() ) ) .list();
The class
org.hibernate.criterion.Projections
is a factory for Projection
instances. You can apply a projection to a query by calling setProjection()
.
List results = session.createCriteria(Cat.class) .setProjection( Projections.rowCount() ) .add( Restrictions.eq("color", Color.BLACK) ) .list();
List results = session.createCriteria(Cat.class) .setProjection( Projections.projectionList() .add( Projections.rowCount() ) .add( Projections.avg("weight") ) .add( Projections.max("weight") ) .add( Projections.groupProperty("color") ) ) .list();
criteria 질의 내에서는 명시적인 "group by"가 필수적이지 않다. 어떤 projection 타입들은 grouping projections들이게끔 정의되고, 그것은 또한 SQL
group by
절 속에 나타난다.
An alias can be assigned to a projection so that the projected value can be referred to in restrictions or orderings. Here are two different ways to do this:
List results = session.createCriteria(Cat.class) .setProjection( Projections.alias( Projections.groupProperty("color"), "colr" ) ) .addOrder( Order.asc("colr") ) .list();
List results = session.createCriteria(Cat.class) .setProjection( Projections.groupProperty("color").as("colr") ) .addOrder( Order.asc("colr") ) .list();
alias()
메소드와 as()
메소드는 또 다른 alias 된 Projection
의 인스턴스 내에 하나의 projection 인스턴스를 간단하게 포장한다. 지름길로서, 당신이 projection을 projection 리스트에 추가할 때 당신은 alias를 할당할 수 있다:
List results = session.createCriteria(Cat.class) .setProjection( Projections.projectionList() .add( Projections.rowCount(), "catCountByColor" ) .add( Projections.avg("weight"), "avgWeight" ) .add( Projections.max("weight"), "maxWeight" ) .add( Projections.groupProperty("color"), "color" ) ) .addOrder( Order.desc("catCountByColor") ) .addOrder( Order.desc("avgWeight") ) .list();
List results = session.createCriteria(Domestic.class, "cat") .createAlias("kittens", "kit") .setProjection( Projections.projectionList() .add( Projections.property("cat.name"), "catName" ) .add( Projections.property("kit.name"), "kitName" ) ) .addOrder( Order.asc("catName") ) .addOrder( Order.asc("kitName") ) .list();
당신은 또한 projection들을 표현하는데
Property.forName()
을 사용할 수 있다:
List results = session.createCriteria(Cat.class) .setProjection( Property.forName("name") ) .add( Property.forName("color").eq(Color.BLACK) ) .list();
List results = session.createCriteria(Cat.class) .setProjection( Projections.projectionList() .add( Projections.rowCount().as("catCountByColor") ) .add( Property.forName("weight").avg().as("avgWeight") ) .add( Property.forName("weight").max().as("maxWeight") ) .add( Property.forName("color").group().as("color" ) ) .addOrder( Order.desc("catCountByColor") ) .addOrder( Order.desc("avgWeight") ) .list();
The
DetachedCriteria
class allows you to create a query outside the scope of a session and then execute it using an arbitrary Session
.
DetachedCriteria query = DetachedCriteria.forClass(Cat.class) .add( Property.forName("sex").eq('F') ); Session session = ....; Transaction txn = session.beginTransaction(); List results = query.getExecutableCriteria(session).setMaxResults(100).list(); txn.commit(); session.close();
A
DetachedCriteria
can also be used to express a subquery. Criterion instances involving subqueries can be obtained via Subqueries
or Property
.
DetachedCriteria avgWeight = DetachedCriteria.forClass(Cat.class) .setProjection( Property.forName("weight").avg() ); session.createCriteria(Cat.class) .add( Property.forName("weight").gt(avgWeight) ) .list();
DetachedCriteria weights = DetachedCriteria.forClass(Cat.class) .setProjection( Property.forName("weight") ); session.createCriteria(Cat.class) .add( Subqueries.geAll("weight", weights) ) .list();
Correlated subqueries are also possible:
DetachedCriteria avgWeightForSex = DetachedCriteria.forClass(Cat.class, "cat2") .setProjection( Property.forName("weight").avg() ) .add( Property.forName("cat2.sex").eqProperty("cat.sex") ); session.createCriteria(Cat.class, "cat") .add( Property.forName("weight").gt(avgWeightForSex) ) .list();
For most queries, including criteria queries, the query cache is not efficient because query cache invalidation occurs too frequently. However, there is a special kind of query where you can optimize the cache invalidation algorithm: lookups by a constant natural key. In some applications, this kind of query occurs frequently. The criteria API provides special provision for this use case.
First, map the natural key of your entity using
<natural-id>
and enable use of the second-level cache.
<class name="User"> <cache usage="read-write"/> <id name="id"> <generator class="increment"/> </id> <natural-id> <property name="name"/> <property name="org"/> </natural-id> <property name="password"/> </class>
This functionality is not intended for use with entities with mutable natural keys.
Once you have enabled the Hibernate query cache, the
Restrictions.naturalId()
allows you to make use of the more efficient cache algorithm.
session.createCriteria(User.class) .add( Restrictions.naturalId() .set("name", "gavin") .set("org", "hb") ).setCacheable(true) .uniqueResult();
You can also express queries in the native SQL dialect of your database. This is useful if you want to utilize database-specific features such as query hints or the
CONNECT
keyword in Oracle. It also provides a clean migration path from a direct SQL/JDBC based application to Hibernate.
Hibernate3 allows you to specify handwritten SQL, including stored procedures, for all create, update, delete, and load operations.
Execution of native SQL queries is controlled via the
SQLQuery
interface, which is obtained by calling Session.createSQLQuery()
. The following sections describe how to use this API for querying.
가장 기본적인 SQL 질의는 스칼라들(값들)의 목록을 얻는 것이다.
sess.createSQLQuery("SELECT * FROM CATS").list(); sess.createSQLQuery("SELECT ID, NAME, BIRTHDATE FROM CATS").list();
These will return a List of Object arrays (Object[]) with scalar values for each column in the CATS table. Hibernate will use ResultSetMetadata to deduce the actual order and types of the returned scalar values.
To avoid the overhead of using
ResultSetMetadata
, or simply to be more explicit in what is returned, one can use addScalar()
:
sess.createSQLQuery("SELECT * FROM CATS") .addScalar("ID", Hibernate.LONG) .addScalar("NAME", Hibernate.STRING) .addScalar("BIRTHDATE", Hibernate.DATE)
이 질의는 다음을 지정했다:
SQL 질의 문자열
반환할 컬럼들과 타입들
This will return Object arrays, but now it will not use
ResultSetMetadata
but will instead explicitly get the ID, NAME and BIRTHDATE column as respectively a Long, String and a Short from the underlying resultset. This also means that only these three columns will be returned, even though the query is using *
and could return more than the three listed columns.
스칼라들 중 몇몇 또는 전부에 대한 타입 정보를 남겨두는 것이 가능하다.
sess.createSQLQuery("SELECT * FROM CATS") .addScalar("ID", Hibernate.LONG) .addScalar("NAME") .addScalar("BIRTHDATE")
This is essentially the same query as before, but now
ResultSetMetaData
is used to determine the type of NAME and BIRTHDATE, where as the type of ID is explicitly specified.
How the java.sql.Types returned from ResultSetMetaData is mapped to Hibernate types is controlled by the Dialect. If a specific type is not mapped, or does not result in the expected type, it is possible to customize it via calls to
registerHibernateType
in the Dialect.
위의 질의들은 스칼라 값들을 반환하는 것, 결과셋들로부터 "원래의" 값들을 기본적으로 반환하는 것에 대한 전부였다. 다음은
addEntity()
를 통해 native sql 질의로부터 엔티티 객체들을 얻는 방법을 보여준다.
sess.createSQLQuery("SELECT * FROM CATS").addEntity(Cat.class); sess.createSQLQuery("SELECT ID, NAME, BIRTHDATE FROM CATS").addEntity(Cat.class);
이 질의는 다음을 지정했다:
SQL 질의 문자열
그 질의에 의해 반환되는 엔티티
Cat이 컬럼 ID, NAME 그리고 BIRTHDATE로서 매핑된다고 가정하면, 위의 질의들은 둘다 각각의 요소가 하나의 Cat 엔티티인 하나의 List를 반환할 것이다.
만일 그 엔티티가 또 다른 엔티티에 대해
many-to-one
로 매핑되어 있다면 또한 native 질의를 실행할 때 이것을 반환하는 것이 필수적고, 그 밖의 경우 데이터베이스 지정적인 "컬럼이 발견되지 않았습니다" 오류가 일어날 것이다. 추가적인 컬럼은 * 표기를 사용할 자동적으로 반환될 것이지만, 우리는 다음 Dog
에 대한 many-to-one
예제에서처럼 명시적인 것을 더 선호한다:
sess.createSQLQuery("SELECT ID, NAME, BIRTHDATE, DOG_ID FROM CATS").addEntity(Cat.class);
이것은 cat.getDog()이 고유하게 기능하는 것을 허용한다.
프락시를 초기화 시킴에 있어 가능한 특별한 라운드트립을 피하기 위해서
Dog
에서 eagerly join시키는 것이 간으하다. 이것은 addJoin()
메소드를 통해 행해지는데, 그것은 연관이나 콜렉션 내에서 조인시키는 것을 당신에게 허용해준다.
sess.createSQLQuery("SELECT c.ID, NAME, BIRTHDATE, DOG_ID, D_ID, D_NAME FROM CATS c, DOGS d WHERE c.DOG_ID = d.D_ID") .addEntity("cat", Cat.class) .addJoin("cat.dog");
In this example, the returned
Cat
's will have their dog
property fully initialized without any extra roundtrip to the database. Notice that you added an alias name ("cat") to be able to specify the target property path of the join. It is possible to do the same eager joining for collections, e.g. if the Cat
had a one-to-many to Dog
instead.
sess.createSQLQuery("SELECT ID, NAME, BIRTHDATE, D_ID, D_NAME, CAT_ID FROM CATS c, DOGS d WHERE c.ID = d.CAT_ID") .addEntity("cat", Cat.class) .addJoin("cat.dogs");
At this stage you are reaching the limits of what is possible with native queries, without starting to enhance the sql queries to make them usable in Hibernate. Problems can arise when returning multiple entities of the same type or when the default alias/column names are not enough.
Until now, the result set column names are assumed to be the same as the column names specified in the mapping document. This can be problematic for SQL queries that join multiple tables, since the same column names can appear in more than one table.
컬럼 alias 주입은 다음 질의(아마 실패할 것이다)에서 필요하다:
sess.createSQLQuery("SELECT c.*, m.* FROM CATS c, CATS m WHERE c.MOTHER_ID = c.ID") .addEntity("cat", Cat.class) .addEntity("mother", Cat.class)
The query was intended to return two Cat instances per row: a cat and its mother. The query will, however, fail because there is a conflict of names; the instances are mapped to the same column names. Also, on some databases the returned column aliases will most likely be on the form "c.ID", "c.NAME", etc. which are not equal to the columns specified in the mappings ("ID" and "NAME").
다음 형식은 컬럼 이름 중복 취약점을 갖지 않는다:
sess.createSQLQuery("SELECT {cat.*}, {mother.*} FROM CATS c, CATS m WHERE c.MOTHER_ID = c.ID") .addEntity("cat", Cat.class) .addEntity("mother", Cat.class)
이 질의는 다음을 지정했다:
컬럼 alias들을 주입하기 위한 Hibernate용 placeholder들을 가진 SQL 질의 문자열
그 질의에 의해 반환되는 엔티티들
The {cat.*} and {mother.*} notation used above is a shorthand for "all properties". Alternatively, you can list the columns explicitly, but even in this case Hibernate injects the SQL column aliases for each property. The placeholder for a column alias is just the property name qualified by the table alias. In the following example, you retrieve Cats and their mothers from a different table (cat_log) to the one declared in the mapping metadata. You can even use the property aliases in the where clause.
String sql = "SELECT ID as {c.id}, NAME as {c.name}, " + "BIRTHDATE as {c.birthDate}, MOTHER_ID as {c.mother}, {mother.*} " + "FROM CAT_LOG c, CAT_LOG m WHERE {c.mother} = c.ID"; List loggedCats = sess.createSQLQuery(sql) .addEntity("cat", Cat.class) .addEntity("mother", Cat.class).list()
In most cases the above alias injection is needed. For queries relating to more complex mappings, like composite properties, inheritance discriminators, collections etc., you can use specific aliases that allow Hibernate to inject the proper aliases.
The following table shows the different ways you can use the alias injection. Please note that the alias names in the result are simply examples; each alias will have a unique and probably different name when used.
It is possible to apply a ResultTransformer to native SQL queries, allowing it to return non-managed entities.
sess.createSQLQuery("SELECT NAME, BIRTHDATE FROM CATS") .setResultTransformer(Transformers.aliasToBean(CatDTO.class))
이 질의는 다음을 지정했다:
SQL 질의 문자열
결과 변환자(transformer)
위의 질의는 초기화되어 있고 NAME과 BIRTHNAME의 값들을
CatDTO
의 대응하는 프로퍼티들과 필드들 속으로 주입시킨 CatDTO
의 리스트를 반환할 것이다.
Native SQL queries which query for entities that are mapped as part of an inheritance must include all properties for the baseclass and all its subclasses.
Native SQL queries support positional as well as named parameters:
Query query = sess.createSQLQuery("SELECT * FROM CATS WHERE NAME like ?").addEntity(Cat.class); List pusList = query.setString(0, "Pus%").list(); query = sess.createSQLQuery("SELECT * FROM CATS WHERE NAME like :name").addEntity(Cat.class); List pusList = query.setString("name", "Pus%").list();
Named SQL queries can be defined in the mapping document and called in exactly the same way as a named HQL query. In this case, you do not need to call
addEntity()
.
<sql-query name="persons"> <return alias="person" class="eg.Person"/> SELECT person.NAME AS {person.name}, person.AGE AS {person.age}, person.SEX AS {person.sex} FROM PERSON person WHERE person.NAME LIKE :namePattern </sql-query>
List people = sess.getNamedQuery("persons") .setString("namePattern", namePattern) .setMaxResults(50) .list();
The
<return-join>
element is use to join associations and the <load-collection>
element is used to define queries which initialize collections,
<sql-query name="personsWith"> <return alias="person" class="eg.Person"/> <return-join alias="address" property="person.mailingAddress"/> SELECT person.NAME AS {person.name}, person.AGE AS {person.age}, person.SEX AS {person.sex}, address.STREET AS {address.street}, address.CITY AS {address.city}, address.STATE AS {address.state}, address.ZIP AS {address.zip} FROM PERSON person JOIN ADDRESS address ON person.ID = address.PERSON_ID AND address.TYPE='MAILING' WHERE person.NAME LIKE :namePattern </sql-query>
명명된 SQL 질의는 스칼라 값을 반환할수도 있다. 당신은
<return-scalar>
요소를 사용하여 컬럼 alias와 Hibernate 타입을 선언해야 한다:
<sql-query name="mySqlQuery"> <return-scalar column="name" type="string"/> <return-scalar column="age" type="long"/> SELECT p.NAME AS name, p.AGE AS age, FROM PERSON p WHERE p.NAME LIKE 'Hiber%' </sql-query>
You can externalize the resultset mapping information in a
<resultset>
element which will allow you to either reuse them across several named queries or through the setResultSetMapping()
API.
<resultset name="personAddress"> <return alias="person" class="eg.Person"/> <return-join alias="address" property="person.mailingAddress"/> </resultset> <sql-query name="personsWith" resultset-ref="personAddress"> SELECT person.NAME AS {person.name}, person.AGE AS {person.age}, person.SEX AS {person.sex}, address.STREET AS {address.street}, address.CITY AS {address.city}, address.STATE AS {address.state}, address.ZIP AS {address.zip} FROM PERSON person JOIN ADDRESS address ON person.ID = address.PERSON_ID AND address.TYPE='MAILING' WHERE person.NAME LIKE :namePattern </sql-query>
You can, alternatively, use the resultset mapping information in your hbm files directly in java code.
List cats = sess.createSQLQuery( "select {cat.*}, {kitten.*} from cats cat, cats kitten where kitten.mother = cat.id" ) .setResultSetMapping("catAndKitten") .list();
You can explicitly tell Hibernate what column aliases to use with
<return-property>
, instead of using the {}
-syntax to let Hibernate inject its own aliases.For example:
<sql-query name="mySqlQuery"> <return alias="person" class="eg.Person"> <return-property name="name" column="myName"/> <return-property name="age" column="myAge"/> <return-property name="sex" column="mySex"/> </return> SELECT person.NAME AS myName, person.AGE AS myAge, person.SEX AS mySex, FROM PERSON person WHERE person.NAME LIKE :name </sql-query>
<return-property>
also works with multiple columns. This solves a limitation with the {}
-syntax which cannot allow fine grained control of multi-column properties.
<sql-query name="organizationCurrentEmployments"> <return alias="emp" class="Employment"> <return-property name="salary"> <return-column name="VALUE"/> <return-column name="CURRENCY"/> </return-property> <return-property name="endDate" column="myEndDate"/> </return> SELECT EMPLOYEE AS {emp.employee}, EMPLOYER AS {emp.employer}, STARTDATE AS {emp.startDate}, ENDDATE AS {emp.endDate}, REGIONCODE as {emp.regionCode}, EID AS {emp.id}, VALUE, CURRENCY FROM EMPLOYMENT WHERE EMPLOYER = :id AND ENDDATE IS NULL ORDER BY STARTDATE ASC </sql-query>
In this example
<return-property>
was used in combination with the {}
-syntax for injection. This allows users to choose how they want to refer column and properties.
만일 당신의 매핑이 한 개의 판별자(discriminator )를 가질 경우 당신은 판별자 컬럼을 지정하는데
<return-discriminator>
를 사용해야 한다.
Hibernate3 provides support for queries via stored procedures and functions. Most of the following documentation is equivalent for both. The stored procedure/function must return a resultset as the first out-parameter to be able to work with Hibernate. An example of such a stored function in Oracle 9 and higher is as follows:
CREATE OR REPLACE FUNCTION selectAllEmployments RETURN SYS_REFCURSOR AS st_cursor SYS_REFCURSOR; BEGIN OPEN st_cursor FOR SELECT EMPLOYEE, EMPLOYER, STARTDATE, ENDDATE, REGIONCODE, EID, VALUE, CURRENCY FROM EMPLOYMENT; RETURN st_cursor; END;
Hibernate에서 이 질의를 사용하기 위해 당신은 하나의 명명된 질의(a named query)를 통해 그것을 매핑할 필요가 있다.
<sql-query name="selectAllEmployees_SP" callable="true"> <return alias="emp" class="Employment"> <return-property name="employee" column="EMPLOYEE"/> <return-property name="employer" column="EMPLOYER"/> <return-property name="startDate" column="STARTDATE"/> <return-property name="endDate" column="ENDDATE"/> <return-property name="regionCode" column="REGIONCODE"/> <return-property name="id" column="EID"/> <return-property name="salary"> <return-column name="VALUE"/> <return-column name="CURRENCY"/> </return-property> </return> { ? = call selectAllEmployments() } </sql-query>
Stored procedures currently only return scalars and entities.
<return-join>
and <load-collection>
are not supported.
You cannot use stored procedures with Hibernate unless you follow some procedure/function rules. If they do not follow those rules they are not usable with Hibernate. If you still want to use these procedures you have to execute them via
session.connection()
. The rules are different for each database, since database vendors have different stored procedure semantics/syntax.
Stored procedure queries cannot be paged with
setFirstResult()/setMaxResults()
.
The recommended call form is standard SQL92:
{ ? = call functionName(<parameters>) }
or { ? = call procedureName(<parameters>}
. Native call syntax is not supported.
Oracle의 경우 다음 규칙들이 적용된다:
A function must return a result set. The first parameter of a procedure must be an
OUT
that returns a result set. This is done by using aSYS_REFCURSOR
type in Oracle 9 or 10. In Oracle you need to define aREF CURSOR
type. See Oracle literature for further information.
Sybase 또는 MS SQL server의 경우 다음 규칙들이 적용된다:
The procedure must return a result set. Note that since these servers can return multiple result sets and update counts, Hibernate will iterate the results and take the first result that is a result set as its return value. Everything else will be discarded.
만일 당신이 당신의 프로시저 내에
SET NOCOUNT ON
을 이용 가능하게 할 수 있다면 그것은 아마 보다 효율적이게 될 것이지만 이것은 필요 조건이 아니다.
Hibernate3는 create, update, delete 오퍼레이션들을 위한 맞춤형 문장들을 사용할 수 있다. Hibernate에서 클래스와 콜렉션 영속자들은 구성 시에 생성된 문자열들의 집합(insertsql, deletesql, updatesql 등)을 이미 포함하고 있다.
<sql-insert>
, <sql-delete>
, <sql-update>
매핑 태그들은 이들 문자열들을 오버라이드 시킨다:
<class name="Person"> <id name="id"> <generator class="increment"/> </id> <property name="name" not-null="true"/> <sql-insert>INSERT INTO PERSON (NAME, ID) VALUES ( UPPER(?), ? )</sql-insert> <sql-update>UPDATE PERSON SET NAME=UPPER(?) WHERE ID=?</sql-update> <sql-delete>DELETE FROM PERSON WHERE ID=?</sql-delete> </class>
The SQL is directly executed in your database, so you can use any dialect you like. This will reduce the portability of your mapping if you use database specific SQL.
만일
callable
속성이 설정되면 내장 프로시저들이 지원된다:
<class name="Person"> <id name="id"> <generator class="increment"/> </id> <property name="name" not-null="true"/> <sql-insert callable="true">{call createPerson (?, ?)}</sql-insert> <sql-delete callable="true">{? = call deletePerson (?)}</sql-delete> <sql-update callable="true">{? = call updatePerson (?, ?)}</sql-update> </class>
The order of the positional parameters is vital, as they must be in the same sequence as Hibernate expects them.
You can view the expected order by enabling debug logging for the
org.hibernate.persister.entity
level. With this level enabled, Hibernate will print out the static SQL that is used to create, update, delete etc. entities. To view the expected sequence, do not include your custom SQL in the mapping files, as this will override the Hibernate generated static SQL.
The stored procedures are in most cases required to return the number of rows inserted, updated and deleted, as Hibernate has some runtime checks for the success of the statement. Hibernate always registers the first statement parameter as a numeric output parameter for the CUD operations:
CREATE OR REPLACE FUNCTION updatePerson (uid IN NUMBER, uname IN VARCHAR2) RETURN NUMBER IS BEGIN update PERSON set NAME = uname, where ID = uid; return SQL%ROWCOUNT; END updatePerson;
You can also declare your own SQL (or HQL) queries for entity loading:
<sql-query name="person"> <return alias="pers" class="Person" lock-mode="upgrade"/> SELECT NAME AS {pers.name}, ID AS {pers.id} FROM PERSON WHERE ID=? FOR UPDATE </sql-query>
This is just a named query declaration, as discussed earlier. You can reference this named query in a class mapping:
<class name="Person"> <id name="id"> <generator class="increment"/> </id> <property name="name" not-null="true"/> <loader query-ref="person"/> </class>
이것은 심지어 내장 프로시저들에 동작한다.
You can even define a query for collection loading:
<set name="employments" inverse="true"> <key/> <one-to-many class="Employment"/> <loader query-ref="employments"/> </set>
<sql-query name="employments"> <load-collection alias="emp" role="Person.employments"/> SELECT {emp.*} FROM EMPLOYMENT emp WHERE EMPLOYER = :id ORDER BY STARTDATE ASC, EMPLOYEE ASC </sql-query>
You can also define an entity loader that loads a collection by join fetching:
<sql-query name="person"> <return alias="pers" class="Person"/> <return-join alias="emp" property="pers.employments"/> SELECT NAME AS {pers.*}, {emp.*} FROM PERSON pers LEFT OUTER JOIN EMPLOYMENT emp ON pers.ID = emp.PERSON_ID WHERE ID=? </sql-query>
Hibernate3 provides an innovative new approach to handling data with "visibility" rules. A Hibernate filter is a global, named, parameterized filter that can be enabled or disabled for a particular Hibernate session.
Hibernate3 has the ability to pre-define filter criteria and attach those filters at both a class level and a collection level. A filter criteria allows you to define a restriction clause similar to the existing "where" attribute available on the class and various collection elements. These filter conditions, however, can be parameterized. The application can then decide at runtime whether certain filters should be enabled and what their parameter values should be. Filters can be used like database views, but they are parameterized inside the application.
필터들을 사용하기 위해서, 그것들은 먼저 정의되고 나서 적절한 매핑 요소들에 첨가되어야 한다. 필터를 정의하기 위해,
<hibernate-mapping/>
요소 내부에 <filter-def/>
요소를 사용하라:
<filter-def name="myFilter"> <filter-param name="myFilterParam" type="string"/> </filter-def>
This filter can then be attached to a class:
<class name="myClass" ...> ... <filter name="myFilter" condition=":myFilterParam = MY_FILTERED_COLUMN"/> </class>
Or, to a collection:
<set ...> <filter name="myFilter" condition=":myFilterParam = MY_FILTERED_COLUMN"/> </set>
Or, to both or multiples of each at the same time.
The methods on
Session
are: enableFilter(String filterName)
, getEnabledFilter(String filterName)
, and disableFilter(String filterName)
. By default, filters are not enabled for a given session. Filters must be enabled through use of the Session.enableFilter()
method, which returns an instance of the Filter
interface. If you used the simple filter defined above, it would look like this:
session.enableFilter("myFilter").setParameter("myFilterParam", "some-value");
Methods on the org.hibernate.Filter interface do allow the method-chaining common to much of Hibernate.
The following is a full example, using temporal data with an effective record date pattern:
<filter-def name="effectiveDate"> <filter-param name="asOfDate" type="date"/> </filter-def> <class name="Employee" ...> ... <many-to-one name="department" column="dept_id" class="Department"/> <property name="effectiveStartDate" type="date" column="eff_start_dt"/> <property name="effectiveEndDate" type="date" column="eff_end_dt"/> ... <!-- Note that this assumes non-terminal records have an eff_end_dt set to a max db date for simplicity-sake --> <filter name="effectiveDate" condition=":asOfDate BETWEEN eff_start_dt and eff_end_dt"/> </class> <class name="Department" ...> ... <set name="employees" lazy="true"> <key column="dept_id"/> <one-to-many class="Employee"/> <filter name="effectiveDate" condition=":asOfDate BETWEEN eff_start_dt and eff_end_dt"/> </set> </class>
In order to ensure that you are provided with currently effective records, enable the filter on the session prior to retrieving employee data:
Session session = ...; session.enableFilter("effectiveDate").setParameter("asOfDate", new Date()); List results = session.createQuery("from Employee as e where e.salary > :targetSalary") .setLong("targetSalary", new Long(1000000)) .list();
Even though a salary constraint was mentioned explicitly on the results in the above HQL, because of the enabled filter, the query will return only currently active employees who have a salary greater than one million dollars.
If you want to use filters with outer joining, either through HQL or load fetching, be careful of the direction of the condition expression. It is safest to set this up for left outer joining. Place the parameter first followed by the column name(s) after the operator.
After being defined, a filter might be attached to multiple entities and/or collections each with its own condition. This can be problematic when the conditions are the same each time. Using
<filter-def/>
allows you to definine a default condition, either as an attribute or CDATA:
<filter-def name="myFilter" condition="abc > xyz">...</filter-def> <filter-def name="myOtherFilter">abc=xyz</filter-def>
This default condition will be used whenever the filter is attached to something without specifying a condition. This means you can give a specific condition as part of the attachment of the filter that overrides the default condition in that particular case.
XML Mapping is an experimental feature in Hibernate 3.0 and is currently under active development.
Hibernate allows you to work with persistent XML data in much the same way you work with persistent POJOs. A parsed XML tree can be thought of as another way of representing the relational data at the object level, instead of POJOs.
Hibernate는 XML 트리들을 처리하는 API로서 dom4j를 지원한다. 당신은 데이터베이스로부터 dom4j 트리들을 검색하고 당신이 그 트리를 데이터베이스와 자동적으로 동기화시키기 위해 어떤 변경을 행하도록 하는 질의들을 작성할 수 있다. 당신은 심지어 XML 문서를 취하고, dom4j를 사용하여 그것을 파싱하고, Hibernate의 다음 기본적인 오퍼레이션들 중 어떤 것으로서 그것을 데이터베이스에 저장시킬 수 있다:
persist(), saveOrUpdate(), merge(), delete(), replicate()
(merging(병합)은 아직 지원되지 않는다).
이 특징은 데이터 가져오기/내보내기,JMS 또는 SOAP 그리고 XSLT-기반의 레포팅을 통한 엔티티 데이터의 구체화를 포함하는 많은 어플리케이션들을 갖는다.
A single mapping can be used to simultaneously map properties of a class and nodes of an XML document to the database, or, if there is no class to map, it can be used to map just the XML.
다음은 POJO와 XML을 동시에 매핑시키는 예제이다 :
<class name="Account" table="ACCOUNTS" node="account"> <id name="accountId" column="ACCOUNT_ID" node="@id"/> <many-to-one name="customer" column="CUSTOMER_ID" node="customer/@id" embed-xml="false"/> <property name="balance" column="BALANCE" node="balance"/> ... </class>
다음은 POJO 클래스가 존재하지 않는 예제이다:
<class entity-name="Account" table="ACCOUNTS" node="account"> <id name="id" column="ACCOUNT_ID" node="@id" type="string"/> <many-to-one name="customerId" column="CUSTOMER_ID" node="customer/@id" embed-xml="false" entity-name="Customer"/> <property name="balance" column="BALANCE" node="balance" type="big_decimal"/> ... </class>
This mapping allows you to access the data as a dom4j tree, or as a graph of property name/value pairs or java
Map
s. The property names are purely logical constructs that can be referred to in HQL queries.
A range of Hibernate mapping elements accept the
node
attribute. This lets you specify the name of an XML attribute or element that holds the property or entity data. The format of the node
attribute must be one of the following:
"element-name"
: map to the named XML element"@attribute-name"
: map to the named XML attribute"."
: map to the parent element"element-name/@attribute-name"
: map to the named attribute of the named element
For collections and single valued associations, there is an additional
embed-xml
attribute. If embed-xml="true"
, the default, the XML tree for the associated entity (or collection of value type) will be embedded directly in the XML tree for the entity that owns the association. Otherwise, if embed-xml="false"
, then only the referenced identifier value will appear in the XML for single point associations and collections will not appear at all.
Do not leave
embed-xml="true"
for too many associations, since XML does not deal well with circularity.
<class name="Customer" table="CUSTOMER" node="customer"> <id name="id" column="CUST_ID" node="@id"/> <map name="accounts" node="." embed-xml="true"> <key column="CUSTOMER_ID" not-null="true"/> <map-key column="SHORT_DESC" node="@short-desc" type="string"/> <one-to-many entity-name="Account" embed-xml="false" node="account"/> </map> <component name="name" node="name"> <property name="firstName" node="first-name"/> <property name="initial" node="initial"/> <property name="lastName" node="last-name"/> </component> ... </class>
In this case, the collection of account ids is embedded, but not the actual account data. The following HQL query:
from Customer c left join fetch c.accounts where c.lastName like :lastName
would return datasets such as this:
<customer id="123456789"> <account short-desc="Savings">987632567</account> <account short-desc="Credit Card">985612323</account> <name> <first-name>Gavin</first-name> <initial>A</initial> <last-name>King</last-name> </name> ... </customer>
만일 당신이
<one-to-many>
매핑에 대해 embed-xml="true"
를 설정할 경우, 데이터는 다음과 같이 보일 수도 있다:
<customer id="123456789"> <account id="987632567" short-desc="Savings"> <customer id="123456789"/> <balance>100.29</balance> </account> <account id="985612323" short-desc="Credit Card"> <customer id="123456789"/> <balance>-2370.34</balance> </account> <name> <first-name>Gavin</first-name> <initial>A</initial> <last-name>King</last-name> </name> ... </customer>
You can also re-read and update XML documents in the application. You can do this by obtaining a dom4j session:
Document doc = ....; Session session = factory.openSession(); Session dom4jSession = session.getSession(EntityMode.DOM4J); Transaction tx = session.beginTransaction(); List results = dom4jSession .createQuery("from Customer c left join fetch c.accounts where c.lastName like :lastName") .list(); for ( int i=0; i<results.size(); i++ ) { //add the customer data to the XML document Element customer = (Element) results.get(i); doc.add(customer); } tx.commit(); session.close();
Session session = factory.openSession(); Session dom4jSession = session.getSession(EntityMode.DOM4J); Transaction tx = session.beginTransaction(); Element cust = (Element) dom4jSession.get("Customer", customerId); for ( int i=0; i<results.size(); i++ ) { Element customer = (Element) results.get(i); //change the customer name in the XML and database Element name = customer.element("name"); name.element("first-name").setText(firstName); name.element("initial").setText(initial); name.element("last-name").setText(lastName); } tx.commit(); session.close();
When implementing XML-based data import/export, it is useful to combine this feature with Hibernate's
replicate()
operation.
Hibernate uses a fetching strategy to retrieve associated objects if the application needs to navigate the association. Fetch strategies can be declared in the O/R mapping metadata, or over-ridden by a particular HQL or
Criteria
query.
Hibernate3는 다음 페칭 방도들을 정의한다:
Join fetching: Hibernate retrieves the associated instance or collection in the same
SELECT
, using anOUTER JOIN
.Select fetching: a second
SELECT
is used to retrieve the associated entity or collection. Unless you explicitly disable lazy fetching by specifyinglazy="false"
, this second select will only be executed when you access the association.Subselect fetching: a second
SELECT
is used to retrieve the associated collections for all entities retrieved in a previous query or fetch. Unless you explicitly disable lazy fetching by specifyinglazy="false"
, this second select will only be executed when you access the association.Batch fetching: an optimization strategy for select fetching. Hibernate retrieves a batch of entity instances or collections in a single
SELECT
by specifying a list of primary or foreign keys.
Hibernate는 또한 다음 사이를 구별 짓는다:
Immediate fetching: an association, collection or attribute is fetched immediately when the owner is loaded.
Lazy collection fetching: a collection is fetched when the application invokes an operation upon that collection. This is the default for collections.
"Extra-lazy" collection fetching: individual elements of the collection are accessed from the database as needed. Hibernate tries not to fetch the whole collection into memory unless absolutely needed. It is suitable for large collections.
Proxy fetching: a single-valued association is fetched when a method other than the identifier getter is invoked upon the associated object.
"No-proxy" fetching: a single-valued association is fetched when the instance variable is accessed. Compared to proxy fetching, this approach is less lazy; the association is fetched even when only the identifier is accessed. It is also more transparent, since no proxy is visible to the application. This approach requires buildtime bytecode instrumentation and is rarely necessary.
Lazy attribute fetching: an attribute or single valued association is fetched when the instance variable is accessed. This approach requires buildtime bytecode instrumentation and is rarely necessary.
We have two orthogonal notions here: when is the association fetched and how is it fetched. It is important that you do not confuse them. We use
fetch
to tune performance. We can use lazy
to define a contract for what data is always available in any detached instance of a particular class.
By default, Hibernate3 uses lazy select fetching for collections and lazy proxy fetching for single-valued associations. These defaults make sense for most associations in the majority of applications.
If you set
hibernate.default_batch_fetch_size
, Hibernate will use the batch fetch optimization for lazy fetching. This optimization can also be enabled at a more granular level.
Please be aware that access to a lazy association outside of the context of an open Hibernate session will result in an exception. For example:
s = sessions.openSession(); Transaction tx = s.beginTransaction(); User u = (User) s.createQuery("from User u where u.name=:userName") .setString("userName", userName).uniqueResult(); Map permissions = u.getPermissions(); tx.commit(); s.close(); Integer accessLevel = (Integer) permissions.get("accounts"); // Error!
Since the permissions collection was not initialized when the
Session
was closed, the collection will not be able to load its state. Hibernate does not support lazy initialization for detached objects. This can be fixed by moving the code that reads from the collection to just before the transaction is committed.
Alternatively, you can use a non-lazy collection or association, by specifying
lazy="false"
for the association mapping. However, it is intended that lazy initialization be used for almost all collections and associations. If you define too many non-lazy associations in your object model, Hibernate will fetch the entire database into memory in every transaction.
On the other hand, you can use join fetching, which is non-lazy by nature, instead of select fetching in a particular transaction. We will now explain how to customize the fetching strategy. In Hibernate3, the mechanisms for choosing a fetch strategy are identical for single-valued associations and collections.
select 페칭(디폴트)은 N+1 selects 문제점들에 매우 취약해서, 우리는 매핑 문서에서 join 페칭을 사용 가능하게 하기를 원할 수도 있다:
<set name="permissions" fetch="join"> <key column="userId"/> <one-to-many class="Permission"/> </set
<many-to-one name="mother" class="Cat" fetch="join"/>
매핑 문서 내에 정의된
fetch
방도는 다음에 영향을 준다:
get()
또는load()
를 통한 검색연관이 네비게이트될 때 함축적으로 발생하는 검색
Criteria
질의들subselect
페칭이 사용될 경우에 HQL 질의들
Irrespective of the fetching strategy you use, the defined non-lazy graph is guaranteed to be loaded into memory. This might, however, result in several immediate selects being used to execute a particular HQL query.
Usually, the mapping document is not used to customize fetching. Instead, we keep the default behavior, and override it for a particular transaction, using
left join fetch
in HQL. This tells Hibernate to fetch the association eagerly in the first select, using an outer join. In the Criteria
query API, you would use setFetchMode(FetchMode.JOIN)
.
If you want to change the fetching strategy used by
get()
or load()
, you can use a Criteria
query. For example:
User user = (User) session.createCriteria(User.class) .setFetchMode("permissions", FetchMode.JOIN) .add( Restrictions.idEq(userId) ) .uniqueResult();
This is Hibernate's equivalent of what some ORM solutions call a "fetch plan".
A completely different approach to problems with N+1 selects is to use the second-level cache.
Lazy fetching for collections is implemented using Hibernate's own implementation of persistent collections. However, a different mechanism is needed for lazy behavior in single-ended associations. The target entity of the association must be proxied. Hibernate implements lazy initializing proxies for persistent objects using runtime bytecode enhancement which is accessed via the CGLIB library.
At startup, Hibernate3 generates proxies by default for all persistent classes and uses them to enable lazy fetching of
many-to-one
and one-to-one
associations.
The mapping file may declare an interface to use as the proxy interface for that class, with the
proxy
attribute. By default, Hibernate uses a subclass of the class. The proxied class must implement a default constructor with at least package visibility. This constructor is recommended for all persistent classes.
There are potential problems to note when extending this approach to polymorphic classes.For example:
<class name="Cat" proxy="Cat"> ...... <subclass name="DomesticCat"> ..... </subclass> </class>
첫 번째로, 심지어 기본 인스턴스가
DomesticCat
의 인스턴스인 경우조차도, Cat
의 인스턴스들은 결코 DomesticCat
으로 타입캐스트가 가능하지 않을 것이다:
Cat cat = (Cat) session.load(Cat.class, id); // instantiate a proxy (does not hit the db) if ( cat.isDomesticCat() ) { // hit the db to initialize the proxy DomesticCat dc = (DomesticCat) cat; // Error! .... }
Secondly, it is possible to break proxy
==
:
Cat cat = (Cat) session.load(Cat.class, id); // instantiate a Cat proxy DomesticCat dc = (DomesticCat) session.load(DomesticCat.class, id); // acquire new DomesticCat proxy! System.out.println(cat==dc); // false
하지만, 그 경우는 보이는 만큼 그렇게 나쁘지는 않다. 심지어 우리가 이제 다른 프락시 객체들에 대한 두 개의 참조를 가질지라도, 기본 인스턴스는 여전히 동일한 객체들일 것이다:
cat.setWeight(11.0); // hit the db to initialize the proxy System.out.println( dc.getWeight() ); // 11.0
Third, you cannot use a CGLIB proxy for a
final
class or a class with any final
methods.
Finally, if your persistent object acquires any resources upon instantiation (e.g. in initializers or default constructor), then those resources will also be acquired by the proxy. The proxy class is an actual subclass of the persistent class.
These problems are all due to fundamental limitations in Java's single inheritance model. To avoid these problems your persistent classes must each implement an interface that declares its business methods. You should specify these interfaces in the mapping file where
CatImpl
implements the interface Cat
and DomesticCatImpl
implements the interface DomesticCat
. For example:
<class name="CatImpl" proxy="Cat"> ...... <subclass name="DomesticCatImpl" proxy="DomesticCat"> ..... </subclass> </class>
Then proxies for instances of
Cat
and DomesticCat
can be returned by load()
or iterate()
.
Cat cat = (Cat) session.load(CatImpl.class, catid); Iterator iter = session.createQuery("from CatImpl as cat where cat.name='fritz'").iterate(); Cat fritz = (Cat) iter.next();
관계들은 또한 lazy 초기화 된다. 이것은 당신이 임의의 프로퍼티들을
CatImpl
타입이 아닌 Cat
타입으로 선언해야 함을 의미한다.
Certain operations do not require proxy initialization:
Hibernate는
equals()
또는 hashCode()
를 오버라이드 시키는 영속 클래스들을 검출할 것이다.
By choosing
lazy="no-proxy"
instead of the default lazy="proxy"
, you can avoid problems associated with typecasting. However, buildtime bytecode instrumentation is required, and all operations will result in immediate proxy initialization.
A
LazyInitializationException
will be thrown by Hibernate if an uninitialized collection or proxy is accessed outside of the scope of the Session
, i.e., when the entity owning the collection or having the reference to the proxy is in the detached state.
Sometimes a proxy or collection needs to be initialized before closing the
Session
. You can force initialization by calling cat.getSex()
or cat.getKittens().size()
, for example. However, this can be confusing to readers of the code and it is not convenient for generic code.
The static methods
Hibernate.initialize()
and Hibernate.isInitialized()
, provide the application with a convenient way of working with lazily initialized collections or proxies. Hibernate.initialize(cat)
will force the initialization of a proxy, cat
, as long as its Session
is still open. Hibernate.initialize( cat.getKittens() )
has a similar effect for the collection of kittens.
Another option is to keep the
Session
open until all required collections and proxies have been loaded. In some application architectures, particularly where the code that accesses data using Hibernate, and the code that uses it are in different application layers or different physical processes, it can be a problem to ensure that the Session
is open when a collection is initialized. There are two basic ways to deal with this issue:
In a web-based application, a servlet filter can be used to close the
Session
only at the end of a user request, once the rendering of the view is complete (the Open Session in View pattern). Of course, this places heavy demands on the correctness of the exception handling of your application infrastructure. It is vitally important that theSession
is closed and the transaction ended before returning to the user, even when an exception occurs during rendering of the view. See the Hibernate Wiki for examples of this "Open Session in View" pattern.In an application with a separate business tier, the business logic must "prepare" all collections that the web tier needs before returning. This means that the business tier should load all the data and return all the data already initialized to the presentation/web tier that is required for a particular use case. Usually, the application calls
Hibernate.initialize()
for each collection that will be needed in the web tier (this call must occur before the session is closed) or retrieves the collection eagerly using a Hibernate query with aFETCH
clause or aFetchMode.JOIN
inCriteria
. This is usually easier if you adopt the Command pattern instead of a Session Facade.You can also attach a previously loaded object to a new
Session
withmerge()
orlock()
before accessing uninitialized collections or other proxies. Hibernate does not, and certainly should not, do this automatically since it would introduce impromptu transaction semantics.
Sometimes you do not want to initialize a large collection, but still need some information about it, like its size, for example, or a subset of the data.
당신은 그것을 초기화 시키지 않고서 콜렉션의 사이즈를 얻는데 콜렉션 필터를 사용할 수 있다:
( (Integer) s.createFilter( collection, "select count(*)" ).list().get(0) ).intValue()
createFilter()
메소드는 또한 전체 콜렉션을 초기화 시킬 필요 없이 콜렉션의 부분집합들을 효율적으로 검색하는데 사용된다:
s.createFilter( lazyCollection, "").setFirstResult(0).setMaxResults(10).list();
Using batch fetching, Hibernate can load several uninitialized proxies if one proxy is accessed. Batch fetching is an optimization of the lazy select fetching strategy. There are two ways you can configure batch fetching: on the class level and the collection level.
Batch fetching for classes/entities is easier to understand. Consider the following example: at runtime you have 25
Cat
instances loaded in a Session
, and each Cat
has a reference to its owner
, a Person
. The Person
class is mapped with a proxy, lazy="true"
. If you now iterate through all cats and call getOwner()
on each, Hibernate will, by default, execute 25 SELECT
statements to retrieve the proxied owners. You can tune this behavior by specifying a batch-size
in the mapping of Person
:
<class name="Person" batch-size="10">...</class>
Hibernate will now execute only three queries: the pattern is 10, 10, 5.
You can also enable batch fetching of collections. For example, if each
Person
has a lazy collection of Cat
s, and 10 persons are currently loaded in the Session
, iterating through all persons will generate 10 SELECT
s, one for every call to getCats()
. If you enable batch fetching for the cats
collection in the mapping of Person
, Hibernate can pre-fetch collections:
<class name="Person"> <set name="cats" batch-size="3"> ... </set> </class>
batch-size
8로서, Hibernate는 4개의 SELECT들에서 3, 3, 3, 1 개의 콜렉션들을 로드시킬 것이다. 다시 그 속성의 값은 특정 Session
내에서 초기화 되지 않은 콜렉션들의 예상되는 개수에 의존한다.
Batch fetching of collections is particularly useful if you have a nested tree of items, i.e. the typical bill-of-materials pattern. However, a nested set or a materialized path might be a better option for read-mostly trees.
If one lazy collection or single-valued proxy has to be fetched, Hibernate will load all of them, re-running the original query in a subselect. This works in the same way as batch-fetching but without the piecemeal loading.
Hibernate3 supports the lazy fetching of individual properties. This optimization technique is also known as fetch groups. Please note that this is mostly a marketing feature; optimizing row reads is much more important than optimization of column reads. However, only loading some properties of a class could be useful in extreme cases. For example, when legacy tables have hundreds of columns and the data model cannot be improved.
lazy 프로퍼티 로딩을 이용가능하게 하려면, 당신의 특정 property 매핑들에 대해
lazy
속성을 설정하라:
<class name="Document"> <id name="id"> <generator class="native"/> </id> <property name="name" not-null="true" length="50"/> <property name="summary" not-null="true" length="200" lazy="true"/> <property name="text" not-null="true" length="2000" lazy="true"/> </class>
Lazy property loading requires buildtime bytecode instrumentation. If your persistent classes are not enhanced, Hibernate will ignore lazy property settings and return to immediate fetching.
bytecode 수단으로, 다음 Ant 태스크를 사용하라:
<target name="instrument" depends="compile"> <taskdef name="instrument" classname="org.hibernate.tool.instrument.InstrumentTask"> <classpath path="${jar.path}"/> <classpath path="${classes.dir}"/> <classpath refid="lib.class.path"/> </taskdef> <instrument verbose="true"> <fileset dir="${testclasses.dir}/org/hibernate/auction/model"> <include name="*.class"/> </fileset> </instrument> </target>
A different way of avoiding unnecessary column reads, at least for read-only transactions, is to use the projection features of HQL or Criteria queries. This avoids the need for buildtime bytecode processing and is certainly a preferred solution.
You can force the usual eager fetching of properties using
fetch all properties
in HQL.
A Hibernate
Session
is a transaction-level cache of persistent data. It is possible to configure a cluster or JVM-level (SessionFactory
-level) cache on a class-by-class and collection-by-collection basis. You can even plug in a clustered cache. Be aware that caches are not aware of changes made to the persistent store by another application. They can, however, be configured to regularly expire cached data.
You have the option to tell Hibernate which caching implementation to use by specifying the name of a class that implements
org.hibernate.cache.CacheProvider
using the property hibernate.cache.provider_class
. Hibernate is bundled with a number of built-in integrations with the open-source cache providers that are listed below. You can also implement your own and plug it in as outlined above. Note that versions prior to 3.2 use EhCache as the default cache provider.
클래스 또는 콜렉션 매핑의 <cache>
요소는 다음 형식을 갖는다:
<cache
usage="transactional|read-write|nonstrict-read-write|read-only"
region="RegionName"
include="all|non-lazy"
/>
usage
(필수) 캐싱 방도를 지정한다: transactional
, read-write
, nonstrict-read-write
또는 read-only
region
(optional: defaults to the class or collection role name): specifies the name of the second level cache region
include
(optional: defaults to all
) non-lazy
: specifies that properties of the entity mapped with lazy="true"
cannot be cached when attribute-level lazy fetching is enabled
Alternatively, you can specify <class-cache>
and <collection-cache>
elements in hibernate.cfg.xml
.
Whenever you pass an object to
save()
, update()
or saveOrUpdate()
, and whenever you retrieve an object using load()
, get()
, list()
, iterate()
or scroll()
, that object is added to the internal cache of the Session
.
When
flush()
is subsequently called, the state of that object will be synchronized with the database. If you do not want this synchronization to occur, or if you are processing a huge number of objects and need to manage memory efficiently, the evict()
method can be used to remove the object and its collections from the first-level cache.
ScrollableResult cats = sess.createQuery("from Cat as cat").scroll(); //a huge result set while ( cats.next() ) { Cat cat = (Cat) cats.get(0); doSomethingWithACat(cat); sess.evict(cat); }
Session
은 또한 인스턴스가 세션 캐시에 속하는지 여부를 결정하는데 contains()
메소드를 제공한다.
To evict all objects from the session cache, call
Session.clear()
second-level 캐시의 경우, 하나의 인스턴스, 전체 클래스, 콜렉션 인스턴스 또는 전체 콜렉션 role의 캐시된 상태를 퇴거시키는
SessionFactory
상에 정의된 메소드들이 존재한다.
sessionFactory.evict(Cat.class, catId); //evict a particular Cat sessionFactory.evict(Cat.class); //evict all Cats sessionFactory.evictCollection("Cat.kittens", catId); //evict a particular collection of kittens sessionFactory.evictCollection("Cat.kittens"); //evict all kitten collections
The
CacheMode
controls how a particular session interacts with the second-level cache:
CacheMode.NORMAL
: will read items from and write items to the second-level cacheCacheMode.GET
: will read items from the second-level cache. Do not write to the second-level cache except when updating dataCacheMode.PUT
: will write items to the second-level cache. Do not read from the second-level cacheCacheMode.REFRESH
: will write items to the second-level cache. Do not read from the second-level cache. Bypass the effect ofhibernate.cache.use_minimal_puts
forcing a refresh of the second-level cache for all items read from the database
second-level 캐시 또는 질의 캐시 영역의 내용물을 브라우징하려면
Statistics
API를 사용하라:
Map cacheEntries = sessionFactory.getStatistics() .getSecondLevelCacheStatistics(regionName) .getEntries();
You will need to enable statistics and, optionally, force Hibernate to keep the cache entries in a more readable format:
hibernate.generate_statistics true hibernate.cache.use_structured_entries true
Query result sets can also be cached. This is only useful for queries that are run frequently with the same parameters. You will first need to enable the query cache:
hibernate.cache.use_query_cache true
This setting creates two new cache regions: one holding cached query result sets (
org.hibernate.cache.StandardQueryCache
), the other holding timestamps of the most recent updates to queryable tables (org.hibernate.cache.UpdateTimestampsCache
). Note that the query cache does not cache the state of the actual entities in the result set; it caches only identifier values and results of value type. The query cache should always be used in conjunction with the second-level cache.
Most queries do not benefit from caching, so by default, queries are not cached. To enable caching, call
Query.setCacheable(true)
. This call allows the query to look for existing cache results or add its results to the cache when it is executed.
If you require fine-grained control over query cache expiration policies, you can specify a named cache region for a particular query by calling
Query.setCacheRegion()
.
List blogs = sess.createQuery("from Blog blog where blog.blogger = :blogger") .setEntity("blogger", blogger) .setMaxResults(15) .setCacheable(true) .setCacheRegion("frontpages") .list();
만일 질의가 그것의 질의 캐시 영역의 갱신을 강제시켜야 하는 경우에, 당신은
Query.setCacheMode(CacheMode.REFRESH)
를 호출해야 한다. 이것은 기본 데이터가 별도의 프로세스를 통해 업데이트되었고(예를 들면, Hibernate를 통해 변경되지 않았고) 특정 질의 결과 셋들을 선택적으로 갱신하는 것을 어플리케이션에게 허용해주는 경우들에서 특별히 유용하다. 이것은 SessionFactory.evictQueries()
를 통해 질의 캐시 영역을 퇴거시키는 보다 효과적인 대안이다.
In the previous sections we have covered collections and their applications. In this section we explore some more issues in relation to collections at runtime.
Hibernate는 세 가지 기본적인 종류의 콜렉션들을 정의한다:
값들을 가진 콜렉션들
one-to-many associations
many-to-many associations
이 분류는 여러 가지 테이블과 foreign key 관계들을 구별짓지만 우리가 관계형 모형에 대해 알 필요가 있는 모든 것을 우리에게 말해주지 않는다. 관계형 구조와 퍼포먼스 특징들을 완전하게 이해하기 위해, 우리는 또한 콜렉션 행들을 업데이트하거나 삭제하기 위해 Hibernate에 의해 사용되는 프라이머리 키의 구조를 검토해야 한다. 이것은 다음 분류를 제안한다:
인덱싱 된 콜렉션들
set들
bag들
All indexed collections (maps, lists, and arrays) have a primary key consisting of the
<key>
and <index>
columns. In this case, collection updates are extremely efficient. The primary key can be efficiently indexed and a particular row can be efficiently located when Hibernate tries to update or delete it.
Sets have a primary key consisting of
<key>
and element columns. This can be less efficient for some types of collection element, particularly composite elements or large text or binary fields, as the database may not be able to index a complex primary key as efficiently. However, for one-to-many or many-to-many associations, particularly in the case of synthetic identifiers, it is likely to be just as efficient. If you want SchemaExport
to actually create the primary key of a <set>
, you must declare all columns as not-null="true"
.
<idbag>
mappings define a surrogate key, so they are efficient to update. In fact, they are the best case.
Bags are the worst case since they permit duplicate element values and, as they have no index column, no primary key can be defined. Hibernate has no way of distinguishing between duplicate rows. Hibernate resolves this problem by completely removing in a single
DELETE
and recreating the collection whenever it changes. This can be inefficient.
For a one-to-many association, the "primary key" may not be the physical primary key of the database table. Even in this case, the above classification is still useful. It reflects how Hibernate "locates" individual rows of the collection.
From the discussion above, it should be clear that indexed collections and sets allow the most efficient operation in terms of adding, removing and updating elements.
There is, arguably, one more advantage that indexed collections have over sets for many-to-many associations or collections of values. Because of the structure of a
Set
, Hibernate does not UPDATE
a row when an element is "changed". Changes to a Set
always work via INSERT
and DELETE
of individual rows. Once again, this consideration does not apply to one-to-many associations.
After observing that arrays cannot be lazy, you can conclude that lists, maps and idbags are the most performant (non-inverse) collection types, with sets not far behind. You can expect sets to be the most common kind of collection in Hibernate applications. This is because the "set" semantics are most natural in the relational model.
However, in well-designed Hibernate domain models, most collections are in fact one-to-many associations with
inverse="true"
. For these associations, the update is handled by the many-to-one end of the association, and so considerations of collection update performance simply do not apply.
There is a particular case, however, in which bags, and also lists, are much more performant than sets. For a collection with
inverse="true"
, the standard bidirectional one-to-many relationship idiom, for example, we can add elements to a bag or list without needing to initialize (fetch) the bag elements. This is because, unlike a set
, Collection.add()
or Collection.addAll()
must always return true for a bag or List
. This can make the following common code much faster:
Parent p = (Parent) sess.load(Parent.class, id); Child c = new Child(); c.setParent(p); p.getChildren().add(c); //no need to fetch the collection! sess.flush();
Deleting collection elements one by one can sometimes be extremely inefficient. Hibernate knows not to do that in the case of an newly-empty collection (if you called
list.clear()
, for example). In this case, Hibernate will issue a single DELETE
.
Suppose you added a single element to a collection of size twenty and then remove two elements. Hibernate will issue one
INSERT
statement and two DELETE
statements, unless the collection is a bag. This is certainly desirable.
하지만, 우리가 두 개의 요소들을 남겨둔채 18 개의 요소들을 제거하고 나서 세 개의 새로운 요소들을 추가한다고 가정하자. 두 가지 가능한 처리 방법들이 존재한다.
하나씩 열 여덟 개의 행들을 삭제한 다음에 세 개의 행들을 삽입시킨다
remove the whole collection in one SQL
DELETE
and insert all five current elements one by one
Hibernate cannot know that the second option is probably quicker. It would probably be undesirable for Hibernate to be that intuitive as such behavior might confuse database triggers, etc.
Fortunately, you can force this behavior (i.e. the second strategy) at any time by discarding (i.e. dereferencing) the original collection and returning a newly instantiated collection with all the current elements.
One-shot-delete does not apply to collections mapped
inverse="true"
.
최적화는 퍼포먼스 관련 숫자들에 대한 모니터링과 접근 없이는 많이 사용되지 않는다. Hibernate는 그것의 내부적인 오퍼레이션들에 대한 전체 영역의 특징들을 제공한다. Hibernate에서 Statistics는
SessionFactory
에 대해 이용 가능하다.
당신은 두 가지 방법들로
SessionFactory
metrics에 접근할 수 있다. 당신의 첫 번째 옵션은 sessionFactory.getStatistics()
를 호출하고 당신 스스로 Statistics
를 읽거나 디스플레이 하는 것이다.
Hibernate can also use JMX to publish metrics if you enable the
StatisticsService
MBean. You can enable a single MBean for all your SessionFactory
or one per factory. See the following code for minimalistic configuration examples:
// MBean service registration for a specific SessionFactory Hashtable tb = new Hashtable(); tb.put("type", "statistics"); tb.put("sessionFactory", "myFinancialApp"); ObjectName on = new ObjectName("hibernate", tb); // MBean object name StatisticsService stats = new StatisticsService(); // MBean implementation stats.setSessionFactory(sessionFactory); // Bind the stats to a SessionFactory server.registerMBean(stats, on); // Register the Mbean on the server
// MBean service registration for all SessionFactory's Hashtable tb = new Hashtable(); tb.put("type", "statistics"); tb.put("sessionFactory", "all"); ObjectName on = new ObjectName("hibernate", tb); // MBean object name StatisticsService stats = new StatisticsService(); // MBean implementation server.registerMBean(stats, on); // Register the MBean on the server
You can activate and deactivate the monitoring for a
SessionFactory
:
Statistics can be reset programmatically using the
clear()
method. A summary can be sent to a logger (info level) using the logSummary()
method.
Hibernate provides a number of metrics, from basic information to more specialized information that is only relevant in certain scenarios. All available counters are described in the
Statistics
interface API, in three categories:
열려진 세션들의 개수, 검색된 JDBC 커넥션들의 개수 등과 같은 일반적인
Session
사용에 관련된 metrics.Metrics related to the entities, collections, queries, and caches as a whole (aka global metrics).
특정한 엔티티, 콜렉션, 질의 또는 캐시 영역에 관련된 상세 metrics.
For example, you can check the cache hit, miss, and put ratio of entities, collections and queries, and the average time a query needs. Be aware that the number of milliseconds is subject to approximation in Java. Hibernate is tied to the JVM precision and on some platforms this might only be accurate to 10 seconds.
Simple getters are used to access the global metrics (i.e. not tied to a particular entity, collection, cache region, etc.). You can access the metrics of a particular entity, collection or cache region through its name, and through its HQL or SQL representation for queries. Please refer to the
Statistics
, EntityStatistics
, CollectionStatistics
, SecondLevelCacheStatistics
, and QueryStatistics
API Javadoc for more information. The following code is a simple example:
Statistics stats = HibernateUtil.sessionFactory.getStatistics(); double queryCacheHitCount = stats.getQueryCacheHitCount(); double queryCacheMissCount = stats.getQueryCacheMissCount(); double queryCacheHitRatio = queryCacheHitCount / (queryCacheHitCount + queryCacheMissCount); log.info("Query Hit ratio:" + queryCacheHitRatio); EntityStatistics entityStats = stats.getEntityStatistics( Cat.class.getName() ); long changes = entityStats.getInsertCount() + entityStats.getUpdateCount() + entityStats.getDeleteCount(); log.info(Cat.class.getName() + " changed " + changes + "times" );
You can work on all entities, collections, queries and region caches, by retrieving the list of names of entities, collections, queries and region caches using the following methods:
getQueries()
, getEntityNames()
, getCollectionRoleNames()
, and getSecondLevelCacheRegionNames()
.
Roundtrip engineering with Hibernate is possible using a set of Eclipse plugins, commandline tools, and Ant tasks.
Hibernate Tools currently include plugins for the Eclipse IDE as well as Ant tasks for reverse engineering of existing databases:
Mapping Editor: an editor for Hibernate XML mapping files that supports auto-completion and syntax highlighting. It also supports semantic auto-completion for class names and property/field names, making it more versatile than a normal XML editor.
Console: the console is a new view in Eclipse. In addition to a tree overview of your console configurations, you are also provided with an interactive view of your persistent classes and their relationships. The console allows you to execute HQL queries against your database and browse the result directly in Eclipse.
Development Wizards: several wizards are provided with the Hibernate Eclipse tools. You can use a wizard to quickly generate Hibernate configuration (cfg.xml) files, or to reverse engineer an existing database schema into POJO source files and Hibernate mapping files. The reverse engineering wizard supports customizable templates.
Please refer to the Hibernate Tools package documentation for more information.
However, the Hibernate main package comes bundled with an integrated tool : SchemaExport aka
hbm2ddl
.It can even be used from "inside" Hibernate.
DDL can be generated from your mapping files by a Hibernate utility. The generated schema includes referential integrity constraints, primary and foreign keys, for entity and collection tables. Tables and sequences are also created for mapped identifier generators.
You must specify a SQL
Dialect
via the hibernate.dialect
property when using this tool, as DDL is highly vendor-specific.
First, you must customize your mapping files to improve the generated schema. The next section covers schema customization.
Many Hibernate mapping elements define optional attributes named
length
, precision
and scale
. You can set the length, precision and scale of a column with this attribute.
<property name="zip" length="5"/>
<property name="balance" precision="12" scale="2"/>
Some tags also accept a
not-null
attribute for generating a NOT NULL
constraint on table columns, and a unique
attribute for generating UNIQUE
constraint on table columns.
<many-to-one name="bar" column="barId" not-null="true"/>
<element column="serialNumber" type="long" not-null="true" unique="true"/>
A
unique-key
attribute can be used to group columns in a single, unique key constraint. Currently, the specified value of the unique-key
attribute is not used to name the constraint in the generated DDL. It is only used to group the columns in the mapping file.
<many-to-one name="org" column="orgId" unique-key="OrgEmployeeId"/> <property name="employeeId" unique-key="OrgEmployee"/>
An
index
attribute specifies the name of an index that will be created using the mapped column or columns. Multiple columns can be grouped into the same index by simply specifying the same index name.
<property name="lastName" index="CustName"/> <property name="firstName" index="CustName"/>
A
foreign-key
attribute can be used to override the name of any generated foreign key constraint.
<many-to-one name="bar" column="barId" foreign-key="FKFooBar"/>
많은 매핑 요소들은 또한 하나의 자식
<column>
요소를 허용한다. 이것은 특히 다중 컬럼 타입들을 매핑하는데 유용하다:
<property name="name" type="my.customtypes.Name"/> <column name="last" not-null="true" index="bar_idx" length="30"/> <column name="first" not-null="true" index="bar_idx" length="20"/> <column name="initial"/> </property>
The
default
attribute allows you to specify a default value for a column.You should assign the same value to the mapped property before saving a new instance of the mapped class.
<property name="credits" type="integer" insert="false"> <column name="credits" default="10"/> </property>
<version name="version" type="integer" insert="false"> <column name="version" default="0"/> </property>
sql-type
속성은 SQL 데이터타입에 대한 Hibernate 타입의 디폴트 매핑을 오버라이드 시키는 것을 사용자에게 허용해준다.
<property name="balance" type="float"> <column name="balance" sql-type="decimal(13,3)"/> </property>
check
속성은 check 컨스트레인트를 지정하는 것을 당신에게 허용해준다.
<property name="foo" type="integer"> <column name="foo" check="foo > 10"/> </property>
<class name="Foo" table="foos" check="bar < 100.0"> ... <property name="bar" type="float"/> </class>
The following table summarizes these optional attributes.
<comment>
요소는 생성된 스키마에 대한 주석들을 지정하는 것을 당신에게 허용해준다.
<class name="Customer" table="CurCust">
<comment>Current customers only</comment>
...
</class>
<property name="balance">
<column name="bal">
<comment>Balance in USD</comment>
</column>
</property>
This results in a comment on table
or comment on column
statement in the generated DDL where supported.
SchemaExport
도구는 DDL 스크립트를 표준 출력으로 기록 하고/하거나 DDL 문장들을 실행시킨다.
The following table displays the
SchemaExport
command line options
java -cp
hibernate_classpaths org.hibernate.tool.hbm2ddl.SchemaExport
options mapping_files
You can even embed SchemaExport
in your application:
Configuration cfg = ....;
new SchemaExport(cfg).create(false, true);
Database properties can be specified:
-D
<property>를 가진 시스템 프로퍼티로서hibernate.properties
내에서--properties
를 가진 명명된 프로퍼티들 내에서
필요한 프로퍼티들은 다음과 같다:
당신은 당신의 Ant 빌드 스크립트에서
SchemaExport
를 호출할 수 있다:
<target name="schemaexport"> <taskdef name="schemaexport" classname="org.hibernate.tool.hbm2ddl.SchemaExportTask" classpathref="class.path"/> <schemaexport properties="hibernate.properties" quiet="no" text="no" drop="no" delimiter=";" output="schema-export.sql"> <fileset dir="src"> <include name="**/*.hbm.xml"/> </fileset> </schemaexport> </target>
The
SchemaUpdate
tool will update an existing schema with "incremental" changes. The SchemaUpdate
depends upon the JDBC metadata API and, as such, will not work with all JDBC drivers.
java -cp
hibernate_classpaths org.hibernate.tool.hbm2ddl.SchemaUpdate
options mapping_files
You can embed SchemaUpdate
in your application:
Configuration cfg = ....;
new SchemaUpdate(cfg).execute(false);
당신은 Ant 스크립트에서
SchemaUpdate
를 호출할 수 있다:
<target name="schemaupdate"> <taskdef name="schemaupdate" classname="org.hibernate.tool.hbm2ddl.SchemaUpdateTask" classpathref="class.path"/> <schemaupdate properties="hibernate.properties" quiet="no"> <fileset dir="src"> <include name="**/*.hbm.xml"/> </fileset> </schemaupdate> </target>
The
SchemaValidator
tool will validate that the existing database schema "matches" your mapping documents. The SchemaValidator
depends heavily upon the JDBC metadata API and, as such, will not work with all JDBC drivers. This tool is extremely useful for testing.
java -cp
hibernate_classpaths org.hibernate.tool.hbm2ddl.SchemaValidator
options mapping_files
You can embed SchemaValidator
in your application:
Configuration cfg = ....;
new SchemaValidator(cfg).validate();
당신은 Ant 스크립트에서
SchemaValidator
를 호출할 수 있다:
<target name="schemavalidate"> <taskdef name="schemavalidator" classname="org.hibernate.tool.hbm2ddl.SchemaValidatorTask" classpathref="class.path"/> <schemavalidator properties="hibernate.properties"> <fileset dir="src"> <include name="**/*.hbm.xml"/> </fileset> </schemavalidator> </target>
One of the first things that new users want to do with Hibernate is to model a parent/child type relationship. There are two different approaches to this. The most convenient approach, especially for new users, is to model both
Parent
and Child
as entity classes with a <one-to-many>
association from Parent
to Child
. The alternative approach is to declare the Child
as a <composite-element>
. The default semantics of a one-to-many association in Hibernate are much less close to the usual semantics of a parent/child relationship than those of a composite element mapping. We will explain how to use a bidirectional one-to-many association with cascades to model a parent/child relationship efficiently and elegantly.
Hibernate collections are considered to be a logical part of their owning entity and not of the contained entities. Be aware that this is a critical distinction that has the following consequences:
When you remove/add an object from/to a collection, the version number of the collection owner is incremented.
If an object that was removed from a collection is an instance of a value type (e.g. a composite element), that object will cease to be persistent and its state will be completely removed from the database. Likewise, adding a value type instance to the collection will cause its state to be immediately persistent.
Conversely, if an entity is removed from a collection (a one-to-many or many-to-many association), it will not be deleted by default. This behavior is completely consistent; a change to the internal state of another entity should not cause the associated entity to vanish. Likewise, adding an entity to a collection does not cause that entity to become persistent, by default.
Adding an entity to a collection, by default, merely creates a link between the two entities. Removing the entity will remove the link. This is appropriate for all sorts of cases. However, it is not appropriate in the case of a parent/child relationship. In this case, the life of the child is bound to the life cycle of the parent.
Parent
로부터 Child
로의 간단한 <one-to-many>
연관관계로 시작한다고 가정하자.
<set name="children"> <key column="parent_id"/> <one-to-many class="Child"/> </set>
If we were to execute the following code:
Parent p = .....; Child c = new Child(); p.getChildren().add(c); session.save(c); session.flush();
Hibernate는 두 개의 SQL 문장들을 실행할 것이다:
This is not only inefficient, but also violates any
NOT NULL
constraint on the parent_id
column. You can fix the nullability constraint violation by specifying not-null="true"
in the collection mapping:
<set name="children"> <key column="parent_id" not-null="true"/> <one-to-many class="Child"/> </set>
하지만 이것은 권장되는 해결책이 아니다.
The underlying cause of this behavior is that the link (the foreign key
parent_id
) from p
to c
is not considered part of the state of the Child
object and is therefore not created in the INSERT
. The solution is to make the link part of the Child
mapping.
<many-to-one name="parent" column="parent_id" not-null="true"/>
You also need to add the
parent
property to the Child
class.
Now that the
Child
entity is managing the state of the link, we tell the collection not to update the link. We use the inverse
attribute to do this:
<set name="children" inverse="true"> <key column="parent_id"/> <one-to-many class="Child"/> </set>
The following code would be used to add a new
Child
:
Parent p = (Parent) session.load(Parent.class, pid); Child c = new Child(); c.setParent(p); p.getChildren().add(c); session.save(c); session.flush();
Only one SQL
INSERT
would now be issued.
You could also create an
addChild()
method of Parent
.
public void addChild(Child c) { c.setParent(this); children.add(c); }
The code to add a
Child
looks like this:
Parent p = (Parent) session.load(Parent.class, pid); Child c = new Child(); p.addChild(c); session.save(c); session.flush();
You can address the frustrations of the explicit call to
save()
by using cascades.
<set name="children" inverse="true" cascade="all"> <key column="parent_id"/> <one-to-many class="Child"/> </set>
This simplifies the code above to:
Parent p = (Parent) session.load(Parent.class, pid); Child c = new Child(); p.addChild(c); session.flush();
Similarly, we do not need to iterate over the children when saving or deleting a
Parent
. The following removes p
and all its children from the database.
Parent p = (Parent) session.load(Parent.class, pid); session.delete(p); session.flush();
However, the following code:
Parent p = (Parent) session.load(Parent.class, pid); Child c = (Child) p.getChildren().iterator().next(); p.getChildren().remove(c); c.setParent(null); session.flush();
will not remove
c
from the database. In this case, it will only remove the link to p
and cause a NOT NULL
constraint violation. You need to explicitly delete()
the Child
.
Parent p = (Parent) session.load(Parent.class, pid); Child c = (Child) p.getChildren().iterator().next(); p.getChildren().remove(c); session.delete(c); session.flush();
In our case, a
Child
cannot exist without its parent. So if we remove a Child
from the collection, we do want it to be deleted. To do this, we must use cascade="all-delete-orphan"
.
<set name="children" inverse="true" cascade="all-delete-orphan"> <key column="parent_id"/> <one-to-many class="Child"/> </set>
Even though the collection mapping specifies
inverse="true"
, cascades are still processed by iterating the collection elements. If you need an object be saved, deleted or updated by cascade, you must add it to the collection. It is not enough to simply call setParent()
.
Suppose we loaded up a
Parent
in one Session
, made some changes in a UI action and wanted to persist these changes in a new session by calling update()
. The Parent
will contain a collection of children and, since the cascading update is enabled, Hibernate needs to know which children are newly instantiated and which represent existing rows in the database. We will also assume that both Parent
and Child
have generated identifier properties of type Long
. Hibernate will use the identifier and version/timestamp property value to determine which of the children are new. (See 10.7절. “자동적인 상태 검출”.) In Hibernate3, it is no longer necessary to specify an unsaved-value
explicitly.
The following code will update
parent
and child
and insert newChild
:
//parent and child were both loaded in a previous session parent.addChild(child); Child newChild = new Child(); parent.addChild(newChild); session.update(parent); session.flush();
This may be suitable for the case of a generated identifier, but what about assigned identifiers and composite identifiers? This is more difficult, since Hibernate cannot use the identifier property to distinguish between a newly instantiated object, with an identifier assigned by the user, and an object loaded in a previous session. In this case, Hibernate will either use the timestamp or version property, or will actually query the second-level cache or, worst case, the database, to see if the row exists.
The sections we have just covered can be a bit confusing. However, in practice, it all works out nicely. Most Hibernate applications use the parent/child pattern in many places.
We mentioned an alternative in the first paragraph. None of the above issues exist in the case of
<composite-element>
mappings, which have exactly the semantics of a parent/child relationship. Unfortunately, there are two big limitations with composite element classes: composite elements cannot own collections and they should not be the child of any entity other than the unique parent.
The persistent classes here represent a weblog and an item posted in a weblog. They are to be modelled as a standard parent/child relationship, but we will use an ordered bag, instead of a set:
package eg; import java.util.List; public class Blog { private Long _id; private String _name; private List _items; public Long getId() { return _id; } public List getItems() { return _items; } public String getName() { return _name; } public void setId(Long long1) { _id = long1; } public void setItems(List list) { _items = list; } public void setName(String string) { _name = string; } }
package eg; import java.text.DateFormat; import java.util.Calendar; public class BlogItem { private Long _id; private Calendar _datetime; private String _text; private String _title; private Blog _blog; public Blog getBlog() { return _blog; } public Calendar getDatetime() { return _datetime; } public Long getId() { return _id; } public String getText() { return _text; } public String getTitle() { return _title; } public void setBlog(Blog blog) { _blog = blog; } public void setDatetime(Calendar calendar) { _datetime = calendar; } public void setId(Long long1) { _id = long1; } public void setText(String string) { _text = string; } public void setTitle(String string) { _title = string; } }
The XML mappings are now straightforward. For example:
<?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping package="eg"> <class name="Blog" table="BLOGS"> <id name="id" column="BLOG_ID"> <generator class="native"/> </id> <property name="name" column="NAME" not-null="true" unique="true"/> <bag name="items" inverse="true" order-by="DATE_TIME" cascade="all"> <key column="BLOG_ID"/> <one-to-many class="BlogItem"/> </bag> </class> </hibernate-mapping>
<?xml version="1.0"?> <!DOCTYPE hibernate-mapping PUBLIC "-//Hibernate/Hibernate Mapping DTD 3.0//EN" "http://hibernate.sourceforge.net/hibernate-mapping-3.0.dtd"> <hibernate-mapping package="eg"> <class name="BlogItem" table="BLOG_ITEMS" dynamic-update="true"> <id name="id" column="BLOG_ITEM_ID"> <generator class="native"/> </id> <property name="title" column="TITLE" not-null="true"/> <property name="text" column="TEXT" not-null="true"/> <property name="datetime" column="DATE_TIME" not-null="true"/> <many-to-one name="blog" column="BLOG_ID" not-null="true"/> </class> </hibernate-mapping>
This chapters explores some more complex association mappings.
The following model of the relationship between
Employer
and Employee
uses an entity class (Employment
) to represent the association. You can do this when there might be more than one period of employment for the same two parties. Components are used to model monetary values and employee names.
Here is a possible mapping document:
<hibernate-mapping> <class name="Employer" table="employers"> <id name="id"> <generator class="sequence"> <param name="sequence">employer_id_seq</param> </generator> </id> <property name="name"/> </class> <class name="Employment" table="employment_periods"> <id name="id"> <generator class="sequence"> <param name="sequence">employment_id_seq</param> </generator> </id> <property name="startDate" column="start_date"/> <property name="endDate" column="end_date"/> <component name="hourlyRate" class="MonetaryAmount"> <property name="amount"> <column name="hourly_rate" sql-type="NUMERIC(12, 2)"/> </property> <property name="currency" length="12"/> </component> <many-to-one name="employer" column="employer_id" not-null="true"/> <many-to-one name="employee" column="employee_id" not-null="true"/> </class> <class name="Employee" table="employees"> <id name="id"> <generator class="sequence"> <param name="sequence">employee_id_seq</param> </generator> </id> <property name="taxfileNumber"/> <component name="name" class="Name"> <property name="firstName"/> <property name="initial"/> <property name="lastName"/> </component> </class> </hibernate-mapping>
Here is the table schema generated by
SchemaExport
.
create table employers ( id BIGINT not null, name VARCHAR(255), primary key (id) ) create table employment_periods ( id BIGINT not null, hourly_rate NUMERIC(12, 2), currency VARCHAR(12), employee_id BIGINT not null, employer_id BIGINT not null, end_date TIMESTAMP, start_date TIMESTAMP, primary key (id) ) create table employees ( id BIGINT not null, firstName VARCHAR(255), initial CHAR(1), lastName VARCHAR(255), taxfileNumber VARCHAR(255), primary key (id) ) alter table employment_periods add constraint employment_periodsFK0 foreign key (employer_id) references employers alter table employment_periods add constraint employment_periodsFK1 foreign key (employee_id) references employees create sequence employee_id_seq create sequence employment_id_seq create sequence employer_id_seq
Consider the following model of the relationships between
Work
, Author
and Person
. In the example, the relationship between Work
and Author
is represented as a many-to-many association and the relationship between Author
and Person
is represented as one-to-one association. Another possibility would be to have Author
extend Person
.
다음 매핑 문서는 이들 관계들을 정확하게 표현한다:
<hibernate-mapping> <class name="Work" table="works" discriminator-value="W"> <id name="id" column="id"> <generator class="native"/> </id> <discriminator column="type" type="character"/> <property name="title"/> <set name="authors" table="author_work"> <key column name="work_id"/> <many-to-many class="Author" column name="author_id"/> </set> <subclass name="Book" discriminator-value="B"> <property name="text"/> </subclass> <subclass name="Song" discriminator-value="S"> <property name="tempo"/> <property name="genre"/> </subclass> </class> <class name="Author" table="authors"> <id name="id" column="id"> <!-- The Author must have the same identifier as the Person --> <generator class="assigned"/> </id> <property name="alias"/> <one-to-one name="person" constrained="true"/> <set name="works" table="author_work" inverse="true"> <key column="author_id"/> <many-to-many class="Work" column="work_id"/> </set> </class> <class name="Person" table="persons"> <id name="id" column="id"> <generator class="native"/> </id> <property name="name"/> </class> </hibernate-mapping>
There are four tables in this mapping:
works
, authors
and persons
hold work, author and person data respectively. author_work
is an association table linking authors to works. Here is the table schema, as generated by SchemaExport
:
create table works ( id BIGINT not null generated by default as identity, tempo FLOAT, genre VARCHAR(255), text INTEGER, title VARCHAR(255), type CHAR(1) not null, primary key (id) ) create table author_work ( author_id BIGINT not null, work_id BIGINT not null, primary key (work_id, author_id) ) create table authors ( id BIGINT not null generated by default as identity, alias VARCHAR(255), primary key (id) ) create table persons ( id BIGINT not null generated by default as identity, name VARCHAR(255), primary key (id) ) alter table authors add constraint authorsFK0 foreign key (id) references persons alter table author_work add constraint author_workFK0 foreign key (author_id) references authors alter table author_work add constraint author_workFK1 foreign key (work_id) references works
In this section we consider a model of the relationships between
Customer
, Order
, Line Item
and Product
. There is a one-to-many association between Customer
and Order
, but how can you represent Order
/ LineItem
/ Product
? In the example, LineItem
is mapped as an association class representing the many-to-many association between Order
and Product
. In Hibernate this is called a composite element.
The mapping document will look like this:
<hibernate-mapping> <class name="Customer" table="customers"> <id name="id"> <generator class="native"/> </id> <property name="name"/> <set name="orders" inverse="true"> <key column="customer_id"/> <one-to-many class="Order"/> </set> </class> <class name="Order" table="orders"> <id name="id"> <generator class="native"/> </id> <property name="date"/> <many-to-one name="customer" column="customer_id"/> <list name="lineItems" table="line_items"> <key column="order_id"/> <list-index column="line_number"/> <composite-element class="LineItem"> <property name="quantity"/> <many-to-one name="product" column="product_id"/> </composite-element> </list> </class> <class name="Product" table="products"> <id name="id"> <generator class="native"/> </id> <property name="serialNumber"/> </class> </hibernate-mapping>
customers
, orders
, line_items
그리고 products
는 각각 고객 데이터, 주문 데이터, 주문 라인 아이템 데이터, 그리고 제품 데이터를 보관한다. line_items
는 또한 주문들을 제품들과 연결시키는 연관 테이블로서 동작한다.
create table customers ( id BIGINT not null generated by default as identity, name VARCHAR(255), primary key (id) ) create table orders ( id BIGINT not null generated by default as identity, customer_id BIGINT, date TIMESTAMP, primary key (id) ) create table line_items ( line_number INTEGER not null, order_id BIGINT not null, product_id BIGINT, quantity INTEGER, primary key (order_id, line_number) ) create table products ( id BIGINT not null generated by default as identity, serialNumber VARCHAR(255), primary key (id) ) alter table orders add constraint ordersFK0 foreign key (customer_id) references customers alter table line_items add constraint line_itemsFK0 foreign key (product_id) references products alter table line_items add constraint line_itemsFK1 foreign key (order_id) references orders
These examples are available from the Hibernate test suite. You will find many other useful example mappings there by searching in the
test
folder of the Hibernate distribution.
Write fine-grained classes and map them using
<component>
:street
,suburb
,state
,postcode
를 캡슐화 시키는데Address
클래스를 사용하라. 이것은 코드 재사용성을 촉진시키고 리팩토링을 단순화 시킨다.Declare identifier properties on persistent classes:
Hibernate makes identifier properties optional. There are a range of reasons why you should use them. We recommend that identifiers be 'synthetic', that is, generated with no business meaning.
Identify natural keys:
모든 엔티티들에 대해 고유 키들을 식별하고,
<natural-id>
를 사용하여 그것들을 매핑하라. 고유 키를 구성하는 프로퍼티들을 비교하기 위해equals()
와hashCode()
를 구현하라.Place each class mapping in its own file:
Do not use a single monolithic mapping document. Map
com.eg.Foo
in the filecom/eg/Foo.hbm.xml
. This makes sense, particularly in a team environment.Load mappings as resources:
그것들이 매핑하는 클래스들에 따라서 매핑들을 배치하라
Consider externalizing query strings:
This is recommended if your queries call non-ANSI-standard SQL functions. Externalizing the query strings to mapping files will make the application more portable.
바인드 변수들을 사용하라.
As in JDBC, always replace non-constant values by "?". Do not use string manipulation to bind a non-constant value in a query. You should also consider using named parameters in queries.
Do not manage your own JDBC connections:
Hibernate allows the application to manage JDBC connections, but his approach should be considered a last-resort. If you cannot use the built-in connection providers, consider providing your own implementation of
org.hibernate.connection.ConnectionProvider
.Consider using a custom type:
Suppose you have a Java type from a library that needs to be persisted but does not provide the accessors needed to map it as a component. You should consider implementing
org.hibernate.UserType
. This approach frees the application code from implementing transformations to/from a Hibernate type.Use hand-coded JDBC in bottlenecks:
In performance-critical areas of the system, some kinds of operations might benefit from direct JDBC. Do not assume, however, that JDBC is necessarily faster. Please wait until you know something is a bottleneck. If you need to use direct JDBC, you can open a Hibernate
Session
and usingfile:///usr/share/doc/HTML/en-US/index.html that JDBC connection. This way you can still use the same transaction strategy and underlying connection provider.Understand
Session
flushing:Sometimes the Session synchronizes its persistent state with the database. Performance will be affected if this process occurs too often. You can sometimes minimize unnecessary flushing by disabling automatic flushing, or even by changing the order of queries and other operations within a particular transaction.
In a three tiered architecture, consider using detached objects:
When using a servlet/session bean architecture, you can pass persistent objects loaded in the session bean to and from the servlet/JSP layer. Use a new session to service each request. Use
Session.merge()
orSession.saveOrUpdate()
to synchronize objects with the database.In a two tiered architecture, consider using long persistence contexts:
Database Transactions have to be as short as possible for best scalability. However, it is often necessary to implement long running application transactions, a single unit-of-work from the point of view of a user. An application transaction might span several client request/response cycles. It is common to use detached objects to implement application transactions. An appropriate alternative in a two tiered architecture, is to maintain a single open persistence contact session for the whole life cycle of the application transaction. Then simply disconnect from the JDBC connection at the end of each request and reconnect at the beginning of the subsequent request. Never share a single session across more than one application transaction or you will be working with stale data.
Do not treat exceptions as recoverable:
This is more of a necessary practice than a "best" practice. When an exception occurs, roll back the
Transaction
and close theSession
. If you do not do this, Hibernate cannot guarantee that in-memory state accurately represents the persistent state. For example, do not useSession.load()
to determine if an instance with the given identifier exists on the database; useSession.get()
or a query instead.Prefer lazy fetching for associations:
Use eager fetching sparingly. Use proxies and lazy collections for most associations to classes that are not likely to be completely held in the second-level cache. For associations to cached classes, where there is an a extremely high probability of a cache hit, explicitly disable eager fetching using
lazy="false"
. When join fetching is appropriate to a particular use case, use a query with aleft join fetch
.Use the open session in view pattern, or a disciplined assembly phase to avoid problems with unfetched data:
Hibernate frees the developer from writing tedious Data Transfer Objects (DTO). In a traditional EJB architecture, DTOs serve dual purposes: first, they work around the problem that entity beans are not serializable; second, they implicitly define an assembly phase where all data to be used by the view is fetched and marshalled into the DTOs before returning control to the presentation tier. Hibernate eliminates the first purpose. Unless you are prepared to hold the persistence context (the session) open across the view rendering process, you will still need an assembly phase. Think of your business methods as having a strict contract with the presentation tier about what data is available in the detached objects. This is not a limitation of Hibernate. It is a fundamental requirement of safe transactional data access.
Consider abstracting your business logic from Hibernate:
Hide Hibernate data-access code behind an interface. Combine the DAO and Thread Local Session patterns. You can even have some classes persisted by handcoded JDBC associated to Hibernate via a
UserType
. This advice is, however, intended for "sufficiently large" applications. It is not appropriate for an application with five tables.Do not use exotic association mappings:
Practical test cases for real many-to-many associations are rare. Most of the time you need additional information stored in the "link table". In this case, it is much better to use two one-to-many associations to an intermediate link class. In fact, most associations are one-to-many and many-to-one. For this reason, you should proceed cautiously when using any other association style.
Prefer bidirectional associations:
단방향 연관들은 질의하기가 더 어렵다. 많은 어플리케이션에서, 거의 모든 연관들은 질의들 내에서 양 방향으로 네비게이트 가능해야 한다.
One of the selling points of Hibernate (and really Object/Relational Mapping as a whole) is the notion of database portability. This could mean an internal IT user migrating from one database vendor to another, or it could mean a framework or deployable application consuming Hibernate to simultaneously target multiple database products by their users. Regardless of the exact scenario, the basic idea is that you want Hibernate to help you run against any number of databases without changes to your code, and ideally without any changes to the mapping metadata.
The first line of portability for Hibernate is the dialect, which is a specialization of the
org.hibernate.dialect.Dialect
contract. A dialect encapsulates all the differences in how Hibernate must communicate with a particular database to accomplish some task like getting a sequence value or structuring a SELECT query. Hibernate bundles a wide range of dialects for many of the most popular databases. If you find that your particular database is not among them, it is not terribly difficult to write your own.
Originally, Hibernate would always require that users specify which dialect to use. In the case of users looking to simultaneously target multiple databases with their build that was problematic. Generally this required their users to configure the Hibernate dialect or defining their own method of setting that value.
Starting with version 3.2, Hibernate introduced the notion of automatically detecting the dialect to use based on the
java.sql.DatabaseMetaData
obtained from a java.sql.Connection
to that database. This was much better, expect that this resolution was limited to databases Hibernate know about ahead of time and was in no way configurable or overrideable.
Starting with version 3.3, Hibernate has a fare more powerful way to automatically determine which dialect to should be used by relying on a series of delegates which implement the
org.hibernate.dialect.resolver.DialectResolver
which defines only a single method:
public Dialect resolveDialect(DatabaseMetaData metaData) throws JDBCConnectionException
. The basic contract here is that if the resolver 'understands' the given database metadata then it returns the corresponding Dialect; if not it returns null and the process continues to the next resolver. The signature also identifies
org.hibernate.exception.JDBCConnectionException
as possibly being thrown. A JDBCConnectionException here is interpreted to imply a "non transient" (aka non-recoverable) connection problem and is used to indicate an immediate stop to resolution attempts. All other exceptions result in a warning and continuing on to the next resolver.
The cool part about these resolvers is that users can also register their own custom resolvers which will be processed ahead of the built-in Hibernate ones. This might be useful in a number of different situations: it allows easy integration for auto-detection of dialects beyond those shipped with HIbernate itself; it allows you to specify to use a custom dialect when a particular database is recognized; etc. To register one or more resolvers, simply specify them (seperated by commas, tabs or spaces) using the 'hibernate.dialect_resolvers' configuration setting (see the
DIALECT_RESOLVERS
constant on org.hibernate.cfg.Environment
).
When considering portability between databases, another important decision is selecting the identifier generation stratagy you want to use. Originally Hibernate provided the native generator for this purpose, which was intended to select between a sequence, identity, or table strategy depending on the capability of the underlying database. However, an insidious implication of this approach comes about when targtetting some databases which support identity generation and some which do not. identity generation relies on the SQL definition of an IDENTITY (or auto-increment) column to manage the identifier value; it is what is known as a post-insert generation strategy becauase the insert must actually happen before we can know the identifier value. Because Hibernate relies on this identifier value to uniquely reference entities within a persistence context it must then issue the insert immediately when the users requests the entitiy be associated with the session (like via save() e.g.) regardless of current transactional semantics.
The underlying issue is that the actual semanctics of the application itself changes in these cases.
Starting with version 3.2.3, Hibernate comes with a set of enhanced identifier generators targetting portability in a much different way.
참고
There are specifically 2 bundled enhancedgenerators:
org.hibernate.id.enhanced.SequenceStyleGenerator
org.hibernate.id.enhanced.TableGenerator
The idea behind these generators is to port the actual semantics of the identifer value generation to the different databases. For example, the
org.hibernate.id.enhanced.SequenceStyleGenerator
mimics the behavior of a sequence on databases which do not support sequences by using a table.
SQL functions can be referenced in many ways by users. However, not all databases support the same set of functions. Hibernate, provides a means of mapping a logical function name to a a delegate which knows how to render that particular function, perhaps even using a totally different physical function call.
This section scheduled for completion at a later date...
[PoEAA] Patterns of Enterprise Application Architecture. 0-321-12742-0. 지은이 Martin Fowler. 저작권 © 2003 Pearson Education, Inc.. Addison-Wesley Publishing Company.
[JPwH] Java Persistence with Hibernate. Second Edition of Hibernate in Action. 1-932394-88-5. http://www.manning.com/bauer2 . 저작권 © 2007 Manning Publications Co.. Manning Publications Co..
저작권 © 2004 Red Hat Middleware, LLC.