The Spring Framework provides integration with Hibernate, JPA, JDO and iBATIS SQL Maps: in terms of resource management, DAO implementation support, and transaction strategies. For example for Hibernate, there is first-class support with lots of IoC convenience features, addressing many typical Hibernate integration issues. All of these support packages for O/R (Object Relational) mappers can be configured through Dependency Injection, can participate in Spring's resource and transaction management and they comply with Spring's generic transaction and DAO exception hierarchies. The curently recommended integration style is to code DAOs against plain Hibernate/JPA/JDO/etc APIs. The older style of using Spring's DAO 'templates' is no longer recommended and the coverage of this style can be found in the Appendix. Spring adds significant support when using the O/R mapping layer of your choice to create data access applications. First of all, you should know that once you started using Spring's support for O/R mapping, you don't have to go all the way. No matter to what extent, you're invited to review and leverage the Spring approach, before deciding to take the effort and risk of building a similar infrastructure in-house. Much of the O/R mapping support, no matter what technology you're using may be used in a library style, as everything is designed as a set of reusable JavaBeans. Usage inside a Spring IoC container does provide additional benefits in terms of ease of configuration and deployment; as such, most examples in this section show configuration inside a Spring container. Some of the benefits of using the Spring Framework to create your ORM DAOs include: Ease of testing. Spring's IoC approach makes it easy to swap the implementations and config locations of Hibernate SessionFactory instances, JDBC DataSource instances, transaction managers, and mappes object implementations (if needed). This makes it much easier to isolate and test each piece of persistence-related code in isolation. Common data access exceptions. Spring can wrap exceptions from your O/R mapping tool of choice, converting them from proprietary (potentially checked) exceptions to a common runtime DataAccessException hierarchy. This allows you to handle most persistence exceptions, which are non-recoverable, only in the appropriate layers, without annoying boilerplate catches/throws, and exception declarations. You can still trap and handle exceptions anywhere you need to. Remember that JDBC exceptions (including DB specific dialects) are also converted to the same hierarchy, meaning that you can perform some operations with JDBC within a consistent programming model. General resource management. Spring application contexts can handle the location and configuration of Hibernate SessionFactory instances, JDBC DataSource instances, iBATIS SQL Maps configuration objects, and other related resources. This makes these values easy to manage and change. Spring offers efficient, easy and safe handling of persistence resources. For example: related code using Hibernate generally needs to use the same Hibernate Session for efficiency and proper transaction handling. Spring makes it easy to transparently create and bind a Session to the current thread, either by using an explicit 'template' wrapper class at the Java code level or by exposing a current Session through the Hibernate SessionFactory (for DAOs based on plain Hibernate API). Thus Spring solves many of the issues that repeatedly arise from typical Hibernate usage, for any transaction environment (local or JTA). Integrated transaction management. Spring allows you to wrap your O/R mapping code with either a declarative, AOP style method interceptor, or an explicit 'template' wrapper class at the Java code level. In either case, transaction semantics are handled for you, and proper transaction handling (rollback, etc) in case of exceptions is taken care of. As discussed below, you also get the benefit of being able to use and swap various transaction managers, without your Hibernate/JDO related code being affected: for example, between local transactions and JTA, with the same full services (such as declarative transactions) available in both scenarios. As an additional benefit, JDBC-related code can fully integrate transactionally with the code you use to do O/R mapping. This is useful for data access that's not suitable for O/R mapping, such as batch processing or streaming of BLOBs, which still needs to share common transactions with ORM operations. The PetClinic sample in the Spring distribution offers alternative DAO implementations and application context configurations for JDBC, Hibernate, and JPA. PetClinic can therefore serve as working sample app that illustrates the use of Hibernate and JPA in a Spring web application. It also leverages declarative transaction demarcation with different transaction strategies. Beyond the samples shipped with Spring, there are a variety of Spring-based O/R mapping samples provided by specific vendors.

This section highlights some common considerations regardles of which ORM technology you use. The Hibernate section provides more details and also show these features/configurations in a concrete context. The major goal is to allow for clear application layering, with any data access and transaction technology, and for loose coupling of application objects. No more business service dependencies on the data access or transaction strategy, no more hard-coded resource lookups, no more hard-to-replace singletons, no more custom service registries. One simple and consistent approach to wiring up application objects, keeping them as reusable and free from container dependencies as possible. All the individual data access features are usable on their own but integrate nicely with Spring's application context concept, providing XML-based configuration and cross-referencing of plain JavaBean instances that don't need to be Spring-aware. In a typical Spring application, many important objects are JavaBeans: data access templates, data access objects, transaction managers, business services (that use the data access objects and transaction managers), web view resolvers, web controllers (that use the business services),and so on.

Typical business applications are often cluttered with repetitive resource management code. Many projects try to invent their own solutions for this issue, sometimes sacrificing proper handling of failures for programming convenience. Spring advocates strikingly simple solutions for proper resource handling, namely IoC via templating in the case of JDBC and applying AOP interceptors for the ORM technologies. The infrastructure cares for proper resource handling, and for appropriate conversion of specific API exceptions to an unchecked infrastructure exception hierarchy. Spring introduces a DAO exception hierarchy, applicable to any data access strategy. For direct JDBC, the JdbcTemplate class mentioned in a previous section cares for connection handling, and for proper conversion of SQLException to the DataAccessException hierarchy, including translation of database-specific SQL error codes to meaningful exception classes. For ORM technologies, see the next section for how to get the same exception translation benefits. When it comes to transaction management the JdbcTemplate class hooks in to the Spring transaction support and supports both JTA and JDBC transactions, via respective Spring transaction managers. For the supported ORM technologies Spring offers Hibernate, JPA and JDO support via the Hibernate / JPA / JDO transaction managers as well as JTA support. For more details on the transaction support see the chapter.

Using Hibernate, JDO or JPA in a DAO means that you will have to decide how to handle the persistence technology's native exception classes. The DAO could potentially throw a subclass of a HibernateException, JDOException or PersistenceException depending on the technology in use. These exceptions are all run-time exceptions and does not have to be declared or caught. You would potentially also have to deal with IllegalArgumentException and IllegalStateException. This means that callers can only treat exceptions as generally fatal - unless they want to depend on the persistence technology's own exception structure. Catching specific causes such as an optimistic locking failure is not possible without tying the caller to the implementation strategy. This tradeoff might be acceptable to applications that are strongly ORM-based and/or do not need any special exception treatment. However, Spring offers a solution allowing exception translation to be applied transparently through the @Repository annotation: @Repository public class ProductDaoImpl implements ProductDao { // class body here... } <beans> <!-- Exception translation bean post processor --> <bean class="org.springframework.dao.annotation.PersistenceExceptionTranslationPostProcessor"/> <bean id="myProductDao" class="product.ProductDaoImpl"/> </beans> The postprocessor will automatically look for all exception translators (implementations of the PersistenceExceptionTranslator interface) and advise all beans marked with the @Repository annotation so that the discovered translators can intercept and apply the appropriate translation on the thrown exceptions. In summary: DAOs can be implemented based on the plain persistence technology's API and annotations, while still being able to benefit from Spring-managed transactions, dependency injection, and transparent exception conversion (if desired) to Spring's custom exception hierarchies.

We will start with a coverage of Hibernate 3 in a Spring environment, using it to demonstrate the approach that Spring takes towards integrating O/R mappers. This section will cover many issues in detail and show different variations of DAO implementations and transaction demarcation. Most of these patterns can be directly translated to all other supported ORM tools. The following sections in this chapter will then cover the other ORM technologies, showing briefer examples there. Note: As of Spring 2.5, Spring requires Hibernate 3.1 or higher. Neither Hibernate 2.1 nor Hibernate 3.0 are supported anymore.

To avoid tying application objects to hard-coded resource lookups, Spring allows you to define resources such as a JDBC DataSource or a Hibernate SessionFactory as beans in the Spring container. Application objects that need to access resources just receive references to such pre-defined instances via bean references (the DAO definition in the next section illustrates this). The following excerpt from an XML application context definition shows how to set up a JDBC DataSource and a Hibernate SessionFactory on top of it: <beans> <bean id="myDataSource" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close"> <property name="driverClassName" value="org.hsqldb.jdbcDriver"/> <property name="url" value="jdbc:hsqldb:hsql://localhost:9001"/> <property name="username" value="sa"/> <property name="password" value=""/> </bean> <bean id="mySessionFactory" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean"> <property name="dataSource" ref="myDataSource"/> <property name="mappingResources"> <list> <value>product.hbm.xml</value> </list> </property> <property name="hibernateProperties"> <value> hibernate.dialect=org.hibernate.dialect.HSQLDialect </value> </property> </bean> </beans> Note that switching from a local Jakarta Commons DBCP BasicDataSource to a JNDI-located DataSource (usually managed by an application server) is just a matter of configuration: <beans> <bean id="myDataSource" class="org.springframework.jndi.JndiObjectFactoryBean"> <property name="jndiName" value="java:comp/env/jdbc/myds"/> </bean> </beans> You can also access a JNDI-located SessionFactory, using Spring's JndiObjectFactoryBean to retrieve and expose it. However, that is typically not common outside of an EJB context.

Hibernate 3 provides a feature called "contextual Sessions", where Hibernate itself manages one current Session per transaction. This is roughly equivalent to Spring's synchronization of one Hibernate Session per transaction. A corresponding DAO implementation looks like as follows, based on the plain Hibernate API: public class ProductDaoImpl implements ProductDao { private SessionFactory sessionFactory; public void setSessionFactory(SessionFactory sessionFactory) { this.sessionFactory = sessionFactory; } public Collection loadProductsByCategory(String category) { return this.sessionFactory.getCurrentSession() .createQuery("from test.Product product where product.category=?") .setParameter(0, category) .list(); } } This style is very similar to what you will find in the Hibernate reference documentation and examples, except for holding the SessionFactory in an instance variable. We strongly recommend such an instance-based setup over the old-school static HibernateUtil class from Hibernate's CaveatEmptor sample application. (In general, do not keep any resources in static variables unless absolutely necessary.) The above DAO follows the Dependency Injection pattern: it fits nicely into a Spring IoC container, just like it would if coded against Spring's HibernateTemplate. Of course, such a DAO can also be set up in plain Java (for example, in unit tests): simply instantiate it and call setSessionFactory(..) with the desired factory reference. As a Spring bean definition, it would look as follows: <beans> <bean id="myProductDao" class="product.ProductDaoImpl"> <property name="sessionFactory" ref="mySessionFactory"/> </bean> </beans> The main advantage of this DAO style is that it depends on Hibernate API only; no import of any Spring class is required. This is of course appealing from a non-invasiveness perspective, and will no doubt feel more natural to Hibernate developers. However, the DAO throws plain HibernateException (which is unchecked, so does not have to be declared or caught), which means that callers can only treat exceptions as generally fatal - unless they want to depend on Hibernate's own exception hierarchy. Catching specific causes such as an optimistic locking failure is not possible without tieing the caller to the implementation strategy. This tradeoff might be acceptable to applications that are strongly Hibernate-based and/or do not need any special exception treatment. Fortunately, Spring's LocalSessionFactoryBean supports Hibernate's SessionFactory.getCurrentSession() method for any Spring transaction strategy, returning the current Spring-managed transactional Session even with HibernateTransactionManager. Of course, the standard behavior of that method remains: returning the current Session associated with the ongoing JTA transaction, if any (no matter whether driven by Spring's JtaTransactionManager, by EJB CMT, or by JTA). In summary: DAOs can be implemented based on the plain Hibernate 3 API, while still being able to participate in Spring-managed transactions.

Transactions can be demarcated in a higher level of the application, on top of such lower-level data access services spanning any number of operations. There are no restrictions on the implementation of the surrounding business service here as well, it just needs a Spring PlatformTransactionManager. Again, the latter can come from anywhere, but preferably as bean reference via a setTransactionManager(..) method - just like the productDAO should be set via a setProductDao(..) method. The following snippets show a transaction manager and a business service definition in a Spring application context, and an example for a business method implementation. <beans> <bean id="myTxManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="mySessionFactory"/> </bean> <bean id="myProductService" class="product.ProductServiceImpl"> <property name="transactionManager" ref="myTxManager"/> <property name="productDao" ref="myProductDao"/> </bean> </beans> public class ProductServiceImpl implements ProductService { private TransactionTemplate transactionTemplate; private ProductDao productDao; public void setTransactionManager(PlatformTransactionManager transactionManager) { this.transactionTemplate = new TransactionTemplate(transactionManager); } public void setProductDao(ProductDao productDao) { this.productDao = productDao; } public void increasePriceOfAllProductsInCategory(final String category) { this.transactionTemplate.execute(new TransactionCallbackWithoutResult() { public void doInTransactionWithoutResult(TransactionStatus status) { List productsToChange = this.productDao.loadProductsByCategory(category); // do the price increase... } } ); } }

Alternatively, one can use Spring's declarative transaction support, which essentially enables you to replace explicit transaction demarcation API calls in your Java code with an AOP transaction interceptor configured in a Spring container. This allows you to keep business services free of repetitive transaction demarcation code, and allows you to focus on adding business logic which is where the real value of your application lies. Furthermore, transaction semantics like propagation behavior and isolation level can be changed in a configuration file and do not affect the business service implementations. <beans> <bean id="myTxManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="mySessionFactory"/> </bean> <bean id="myProductService" class="org.springframework.aop.framework.ProxyFactoryBean"> <property name="proxyInterfaces" value="product.ProductService"/> <property name="target"> <bean class="product.DefaultProductService"> <property name="productDao" ref="myProductDao"/> </bean> </property> <property name="interceptorNames"> <list> <value>myTxInterceptor</value> <!-- the transaction interceptor (configured elsewhere) --> </list> </property> </bean> </beans> public class ProductServiceImpl implements ProductService { private ProductDao productDao; public void setProductDao(ProductDao productDao) { this.productDao = productDao; } // notice the absence of transaction demarcation code in this method // Spring's declarative transaction infrastructure will be demarcating transactions on your behalf public void increasePriceOfAllProductsInCategory(final String category) { List productsToChange = this.productDao.loadProductsByCategory(category); // ... } } Spring's TransactionInterceptor allows any checked application exception to be thrown with the callback code, while TransactionTemplate is restricted to unchecked exceptions within the callback. TransactionTemplate will trigger a rollback in case of an unchecked application exception, or if the transaction has been marked rollback-only by the application (via TransactionStatus). TransactionInterceptor behaves the same way by default but allows configurable rollback policies per method. The following higher level approach to declarative transactions doesn't use the ProxyFactoryBean, and as such may be easier to use if you have a large number of service objects that you wish to make transactional. You are strongly encouraged to read the section entitled if you have not done so already prior to continuing. <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-2.5.xsd"> <!-- SessionFactory, DataSource, etc. omitted --> <bean id="myTxManager" class="org.springframework.orm.hibernate3.HibernateTransactionManager"> <property name="sessionFactory" ref="mySessionFactory"/> </bean> <aop:config> <aop:pointcut id="productServiceMethods" expression="execution(* product.ProductService.*(..))"/> <aop:advisor advice-ref="txAdvice" pointcut-ref="productServiceMethods"/> </aop:config> <tx:advice id="txAdvice" transaction-manager="myTxManager"> <tx:attributes> <tx:method name="increasePrice*" propagation="REQUIRED"/> <tx:method name="someOtherBusinessMethod" propagation="REQUIRES_NEW"/> <tx:method name="*" propagation="SUPPORTS" read-only="true"/> </tx:attributes> </tx:advice> <bean id="myProductService" class="product.SimpleProductService"> <property name="productDao" ref="myProductDao"/> </bean> </beans>

Both TransactionTemplate and TransactionInterceptor delegate the actual transaction handling to a PlatformTransactionManager instance, which can be a HibernateTransactionManager (for a single Hibernate SessionFactory, using a ThreadLocal Session under the hood) or a JtaTransactionManager (delegating to the JTA subsystem of the container) for Hibernate applications. You could even use a custom PlatformTransactionManager implementation. So switching from native Hibernate transaction management to JTA, such as when facing distributed transaction requirements for certain deployments of your application, is just a matter of configuration. Simply replace the Hibernate transaction manager with Spring's JTA transaction implementation. Both transaction demarcation and data access code will work without changes, as they just use the generic transaction management APIs. For distributed transactions across multiple Hibernate session factories, simply combine JtaTransactionManager as a transaction strategy with multiple LocalSessionFactoryBean definitions. Each of your DAOs then gets one specific SessionFactory reference passed into its corresponding bean property. If all underlying JDBC data sources are transactional container ones, a business service can demarcate transactions across any number of DAOs and any number of session factories without special regard, as long as it is using JtaTransactionManager as the strategy. <beans> <bean id="myDataSource1" class="org.springframework.jndi.JndiObjectFactoryBean"> <property name="jndiName value="java:comp/env/jdbc/myds1"/> </bean> <bean id="myDataSource2" class="org.springframework.jndi.JndiObjectFactoryBean"> <property name="jndiName" value="java:comp/env/jdbc/myds2"/> </bean> <bean id="mySessionFactory1" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean"> <property name="dataSource" ref="myDataSource1"/> <property name="mappingResources"> <list> <value>product.hbm.xml</value> </list> </property> <property name="hibernateProperties"> <value> hibernate.dialect=org.hibernate.dialect.MySQLDialect hibernate.show_sql=true </value> </property> </bean> <bean id="mySessionFactory2" class="org.springframework.orm.hibernate3.LocalSessionFactoryBean"> <property name="dataSource" ref="myDataSource2"/> <property name="mappingResources"> <list> <value>inventory.hbm.xml</value> </list> </property> <property name="hibernateProperties"> <value> hibernate.dialect=org.hibernate.dialect.OracleDialect </value> </property> </bean> <bean id="myTxManager" class="org.springframework.transaction.jta.JtaTransactionManager"/> <bean id="myProductDao" class="product.ProductDaoImpl"> <property name="sessionFactory" ref="mySessionFactory1"/> </bean> <bean id="myInventoryDao" class="product.InventoryDaoImpl"> <property name="sessionFactory" ref="mySessionFactory2"/> </bean> <!-- this shows the Spring 1.x style of declarative transaction configuration --> <!-- it is totally supported, 100% legal in Spring 2.x, but see also above for the sleeker, Spring 2.0 style --> <bean id="myProductService" class="org.springframework.transaction.interceptor.TransactionProxyFactoryBean"> <property name="transactionManager" ref="myTxManager"/> <property name="target"> <bean class="product.ProductServiceImpl"> <property name="productDao" ref="myProductDao"/> <property name="inventoryDao" ref="myInventoryDao"/> </bean> </property> <property name="transactionAttributes"> <props> <prop key="increasePrice*">PROPAGATION_REQUIRED</prop> <prop key="someOtherBusinessMethod">PROPAGATION_REQUIRES_NEW</prop> <prop key="*">PROPAGATION_SUPPORTS,readOnly</prop> </props> </property> </bean> </beans> Both HibernateTransactionManager and JtaTransactionManager allow for proper JVM-level cache handling with Hibernate - without container-specific transaction manager lookup or JCA connector (as long as not using EJB to initiate transactions). HibernateTransactionManager can export the JDBC Connection used by Hibernate to plain JDBC access code, for a specific DataSource. This allows for high-level transaction demarcation with mixed Hibernate/JDBC data access completely without JTA, as long as you are just accessing one database! HibernateTransactionManager will automatically expose the Hibernate transaction as JDBC transaction if the passed-in SessionFactory has been set up with a DataSource (through the "dataSource" property of the LocalSessionFactoryBean class). Alternatively, the DataSource that the transactions are supposed to be exposed for can also be specified explicitly, through the "dataSource" property of the HibernateTransactionManager class.

Spring's resource management allows for simple switching between a JNDI SessionFactory and a local one, without having to change a single line of application code. The decision as to whether to keep the resource definitions in the container or locally within the application, is mainly a matter of the transaction strategy being used. Compared to a Spring-defined local SessionFactory, a manually registered JNDI SessionFactory does not provide any benefits. Deploying a SessionFactory through Hibernate's JCA connector provides the added value of participating in the J2EE server's management infrastructure, but does not add actual value beyond that. An important benefit of Spring's transaction support is that it isn't bound to a container at all. Configured to any other strategy than JTA, it will work in a standalone or test environment too. Especially for the typical case of single-database transactions, this is a very lightweight and powerful alternative to JTA. When using local EJB Stateless Session Beans to drive transactions, you depend both on an EJB container and JTA - even if you just access a single database anyway, and just use SLSBs for declarative transactions via CMT. The alternative of using JTA programmatically requires a J2EE environment as well. JTA does not just involve container dependencies in terms of JTA itself and of JNDI DataSource instances. For non-Spring JTA-driven Hibernate transactions, you have to use the Hibernate JCA connector, or extra Hibernate transaction code with the TransactionManagerLookup being configured for proper JVM-level caching. Spring-driven transactions can work with a locally defined Hibernate SessionFactory nicely, just like with a local JDBC DataSource - if accessing a single database, of course. Therefore you just have to fall back to Spring's JTA transaction strategy when actually facing distributed transaction requirements. Note that a JCA connector needs container-specific deployment steps, and obviously JCA support in the first place. This is far more hassle than deploying a simple web app with local resource definitions and Spring-driven transactions. And you often need the Enterprise Edition of your container, as for example WebLogic Express does not provide JCA. A Spring application with local resources and transactions spanning one single database will work in any J2EE web container (without JTA, JCA, or EJB) - like Tomcat, Resin, or even plain Jetty. Additionally, such a middle tier can be reused in desktop applications or test suites easily. All things considered: if you do not use EJB, stick with local SessionFactory setup and Spring's HibernateTransactionManager or JtaTransactionManager. You will get all of the benefits including proper transactional JVM-level caching and distributed transactions, without any container deployment hassle. JNDI registration of a Hibernate SessionFactory via the JCA connector really only adds value when used in conjunction with EJBs.

In some JTA environments with very strict XADataSource implementations -- currently only some WebLogic and WebSphere versions -- when using Hibernate configured without any awareness of the JTA PlatformTransactionManager object for that environment, it is possible for spurious warning or exceptions to show up in the application server log. These warnings or exceptions will say something to the effect that the connection being accessed is no longer valid, or JDBC access is no longer valid, possibly because the transaction is no longer active. As an example, here is an actual exception from WebLogic: java.sql.SQLException: The transaction is no longer active - status: 'Committed'. No further JDBC access is allowed within this transaction. This warning is easy to resolve by simply making Hibernate aware of the JTA PlatformTransactionManager instance, to which it will also synchronize (along with Spring). This may be done in two ways: If in your application context you are already directly obtaining the JTA PlatformTransactionManager object (presumably from JNDI via JndiObjectFactoryBean) and feeding it for example to Spring's JtaTransactionManager, then the easiest way is to simply specify a reference to this as the value of LocalSessionFactoryBean's jtaTransactionManager property. Spring will then make the object available to Hibernate. More likely you do not already have the JTA PlatformTransactionManager instance (since Spring's JtaTransactionManager can find it itself) so you need to instead configure Hibernate to also look it up directly. This is done by configuring an AppServer specific TransactionManagerLookup class in the Hibernate configuration, as described in the Hibernate manual. It is not necessary to read any more for proper usage, but the full sequence of events with and without Hibernate being aware of the JTA PlatformTransactionManager will now be described. When Hibernate is not configured with any awareness of the JTA PlatformTransactionManager, the sequence of events when a JTA transaction commits is as follows: JTA transaction commits Spring's JtaTransactionManager is synchronized to the JTA transaction, so it is called back via an afterCompletion callback by the JTA transaction manager. Among other activities, this can trigger a callback by Spring to Hibernate, via Hibernate's afterTransactionCompletion callback (used to clear the Hibernate cache), followed by an explicit close() call on the Hibernate Session, which results in Hibernate trying to close() the JDBC Connection. In some environments, this Connection.close() call then triggers the warning or error, as the application server no longer considers the Connection usable at all, since the transaction has already been committed. When Hibernate is configured with awareness of the JTA PlatformTransactionManager, the sequence of events when a JTA transaction commits is instead as follows: JTA transaction is ready to commit Spring's JtaTransactionManager is synchronized to the JTA transaction, so it is called back via a beforeCompletion callback by the JTA transaction manager. Spring is aware that Hibernate itself is synchronized to the JTA transaction, and behaves differently than in the previous scenario. Assuming the Hibernate Session needs to be closed at all, Spring will close it now. JTA Transaction commits Hibernate is synchronized to the JTA transaction, so it is called back via an afterCompletion callback by the JTA transaction manager, and can properly clear its cache.

Spring supports the standard JDO 2.0/2.1 API as data access strategy, following the same style as the Hibernate support. The corresponding integration classes reside in the org.springframework.orm.jdo package.

Spring provides a LocalPersistenceManagerFactoryBean class that allows for defining a local JDO PersistenceManagerFactory within a Spring application context: <beans> <bean id="myPmf" class="org.springframework.orm.jdo.LocalPersistenceManagerFactoryBean"> <property name="configLocation" value="classpath:kodo.properties"/> </bean> </beans> Alternatively, a PersistenceManagerFactory can also be set up through direct instantiation of a PersistenceManagerFactory implementation class. A JDO PersistenceManagerFactory implementation class is supposed to follow the JavaBeans pattern, just like a JDBC DataSource implementation class, which is a natural fit for a Spring bean definition. This setup style usually supports a Spring-defined JDBC DataSource, passed into the "connectionFactory" property. For example, for the open source JDO implementation DataNucleus (formerly JPOX) (http://www.datanucleus.org/): <beans> <bean id="dataSource" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close"> <property name="driverClassName" value="${jdbc.driverClassName}"/> <property name="url" value="${jdbc.url}"/> <property name="username" value="${jdbc.username}"/> <property name="password" value="${jdbc.password}"/> </bean> <bean id="myPmf" class="org.datanucleus.jdo.JDOPersistenceManagerFactory" destroy-method="close"> <property name="connectionFactory" ref="dataSource"/> <property name="nontransactionalRead" value="true"/> </bean> </beans> A JDO PersistenceManagerFactory can also be set up in the JNDI environment of a J2EE application server, usually through the JCA connector provided by the particular JDO implementation. Spring's standard JndiObjectFactoryBean can be used to retrieve and expose such a PersistenceManagerFactory. However, outside an EJB context, there is often no compelling benefit in holding the PersistenceManagerFactory in JNDI: only choose such setup for a good reason. See "container resources versus local resources" in the Hibernate section for a discussion; the arguments there apply to JDO as well.

DAOs can also be written against plain JDO API, without any Spring dependencies, directly using an injected PersistenceManagerFactory. A corresponding DAO implementation looks like as follows: public class ProductDaoImpl implements ProductDao { private PersistenceManagerFactory persistenceManagerFactory; public void setPersistenceManagerFactory(PersistenceManagerFactory pmf) { this.persistenceManagerFactory = pmf; } public Collection loadProductsByCategory(String category) { PersistenceManager pm = this.persistenceManagerFactory.getPersistenceManager(); try { Query query = pm.newQuery(Product.class, "category = pCategory"); query.declareParameters("String pCategory"); return query.execute(category); } finally { pm.close(); } } } As the above DAO still follows the Dependency Injection pattern, it still fits nicely into a Spring container, just like it would if coded against Spring's JdoTemplate: <beans> <bean id="myProductDao" class="product.ProductDaoImpl"> <property name="persistenceManagerFactory" ref="myPmf"/> </bean> </beans> The main issue with such DAOs is that they always get a new PersistenceManager from the factory. To still access a Spring-managed transactional PersistenceManager, consider defining a TransactionAwarePersistenceManagerFactoryProxy (as included in Spring) in front of your target PersistenceManagerFactory, passing the proxy into your DAOs. <beans> <bean id="myPmfProxy" class="org.springframework.orm.jdo.TransactionAwarePersistenceManagerFactoryProxy"> <property name="targetPersistenceManagerFactory" ref="myPmf"/> </bean> <bean id="myProductDao" class="product.ProductDaoImpl"> <property name="persistenceManagerFactory" ref="myPmfProxy"/> </bean> </beans> Your data access code will then receive a transactional PersistenceManager (if any) from the PersistenceManagerFactory.getPersistenceManager() method that it calls. The latter method call goes through the proxy, which will first check for a current transactional PersistenceManager before getting a new one from the factory. close() calls on the PersistenceManager will be ignored in case of a transactional PersistenceManager. If your data access code will always run within an active transaction (or at least within active transaction synchronization), it is safe to omit the PersistenceManager.close() call and thus the entire finally block, which you might prefer to keep your DAO implementations concise: public class ProductDaoImpl implements ProductDao { private PersistenceManagerFactory persistenceManagerFactory; public void setPersistenceManagerFactory(PersistenceManagerFactory pmf) { this.persistenceManagerFactory = pmf; } public Collection loadProductsByCategory(String category) { PersistenceManager pm = this.persistenceManagerFactory.getPersistenceManager(); Query query = pm.newQuery(Product.class, "category = pCategory"); query.declareParameters("String pCategory"); return query.execute(category); } } With such DAOs that rely on active transactions, it is recommended to enforce active transactions through turning TransactionAwarePersistenceManagerFactoryProxy's "allowCreate" flag off: <beans> <bean id="myPmfProxy" class="org.springframework.orm.jdo.TransactionAwarePersistenceManagerFactoryProxy"> <property name="targetPersistenceManagerFactory" ref="myPmf"/> <property name="allowCreate" value="false"/> </bean> <bean id="myProductDao" class="product.ProductDaoImpl"> <property name="persistenceManagerFactory" ref="myPmfProxy"/> </bean> </beans> The main advantage of this DAO style is that it depends on JDO API only; no import of any Spring class is required. This is of course appealing from a non-invasiveness perspective, and might feel more natural to JDO developers. However, the DAO throws plain JDOException (which is unchecked, so does not have to be declared or caught), which means that callers can only treat exceptions as generally fatal - unless they want to depend on JDO's own exception structure. Catching specific causes such as an optimistic locking failure is not possible without tying the caller to the implementation strategy. This tradeoff might be acceptable to applications that are strongly JDO-based and/or do not need any special exception treatment. In summary: DAOs can be implemented based on plain JDO API, while still being able to participate in Spring-managed transactions. This might in particular appeal to people already familiar with JDO, feeling more natural to them. However, such DAOs will throw plain JDOException; conversion to Spring's DataAccessException would have to happen explicitly (if desired).

To execute service operations within transactions, you can use Spring's common declarative transaction facilities. For example: <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-2.5.xsd"> <bean id="myTxManager" class="org.springframework.orm.jdo.JdoTransactionManager"> <property name="persistenceManagerFactory" ref="myPmf"/> </bean> <bean id="myProductService" class="product.ProductServiceImpl"> <property name="productDao" ref="myProductDao"/> </bean> <tx:advice id="txAdvice" transaction-manager="txManager"> <tx:attributes> <tx:method name="increasePrice*" propagation="REQUIRED"/> <tx:method name="someOtherBusinessMethod" propagation="REQUIRES_NEW"/> <tx:method name="*" propagation="SUPPORTS" read-only="true"/> </tx:attributes> </tx:advice> <aop:config> <aop:pointcut id="productServiceMethods" expression="execution(* product.ProductService.*(..))"/> <aop:advisor advice-ref="txAdvice" pointcut-ref="productServiceMethods"/> </aop:config> </beans> Note that JDO requires an active transaction when modifying a persistent object. There is no concept like a non-transactional flush in JDO, in contrast to Hibernate. For this reason, the chosen JDO implementation needs to be set up for a specific environment: in particular, it needs to be explicitly set up for JTA synchronization, to detect an active JTA transaction itself. This is not necessary for local transactions as performed by Spring's JdoTransactionManager, but it is necessary for participating in JTA transactions (whether driven by Spring's JtaTransactionManager or by EJB CMT / plain JTA). JdoTransactionManager is capable of exposing a JDO transaction to JDBC access code that accesses the same JDBC DataSource, provided that the registered JdoDialect supports retrieval of the underlying JDBC Connection. This is the case for JDBC-based JDO 2.0 implementations by default.

As an advanced feature, both JdoTemplate and interfacename support a custom JdoDialect, to be passed into the "jdoDialect" bean property. In such a scenario, the DAOs won't receive a PersistenceManagerFactory reference but rather a full JdoTemplate instance instead (for example, passed into JdoDaoSupport's "jdoTemplate" property). A JdoDialect implementation can enable some advanced features supported by Spring, usually in a vendor-specific manner: applying specific transaction semantics (such as custom isolation level or transaction timeout) retrieving the transactional JDBC Connection (for exposure to JDBC-based DAOs) applying query timeouts (automatically calculated from Spring-managed transaction timeout) eagerly flushing a PersistenceManager (to make transactional changes visible to JDBC-based data access code) advanced translation of JDOExceptions to Spring DataAccessExceptions See the JdoDialect Javadoc for more details on its operations and how they are used within Spring's JDO support.

Spring JPA (available under the org.springframework.orm.jpa package) offers comprehensive support for the Java Persistence API in a similar manner to the integration with Hibernate or JDO, while being aware of the underlying implementation in order to provide additional features.

Spring JPA offers three ways of setting up JPA EntityManagerFactory:

The LocalEntityManagerFactoryBean creates an EntityManagerFactory suitable for environments which solely use JPA for data access. The factory bean will use the JPA PersistenceProvider autodetection mechanism (according to JPA's Java SE bootstrapping) and, in most cases, requires only the persistence unit name to be specified: <beans> <bean id="myEmf" class="org.springframework.orm.jpa.LocalEntityManagerFactoryBean"> <property name="persistenceUnitName" value="myPersistenceUnit"/> </bean> </beans> This is the simplest but also most limited form of JPA deployment. There is no way to link to an existing JDBC DataSource and no support for global transactions, for example. Furthermore, weaving (byte-code transformation) of persistent classes is provider-specific, often requiring a specific JVM agent to specified on startup. All in all, this option is only really sufficient for standalone applications and test environments (which is exactly what the JPA specification designed it for). Only use this option in simple deployment environments like standalone applications and integration tests.

Obtaining an EntityManagerFactory from JNDI (for example in a Java EE 5 environment), is just a matter of changing the XML configuration: <beans> <jee:jndi-lookup id="myEmf" jndi-name="persistence/myPersistenceUnit"/> </beans> This assumes standard Java EE 5 bootstrapping, with the Java EE server autodetecting persistence units (i.e. META-INF/persistence.xml files in application jars) and persistence-unit-ref entries in the Java EE deployment descriptor (e.g. web.xml) defining environment naming context locations for those persistence units. In such a scenario, the entire persistence unit deployment, including the weaving (byte-code transformation) of persistent classes, is up to the Java EE server. The JDBC DataSource is defined through a JNDI location in the META-INF/persistence.xml file; EntityManager transactions are integrated with the server's JTA subsystem. Spring merely uses the obtained EntityManagerFactory, passing it on to application objects via dependency injection, and managing transactions for it (typically through JtaTransactionManager). Note that, in case of multiple persistence units used in the same application, the bean names of such a JNDI-retrieved persistence units should match the persistence unit names that the application uses to refer to them (e.g. in @PersistenceUnit and @PersistenceContext annotations). Use this option when deploying to a Java EE 5 server. Check your server's documentation on how to deploy a custom JPA provider into your server, allowing for a different provider than the server's default.

The LocalContainerEntityManagerFactoryBean gives full control over EntityManagerFactory configuration and is appropriate for environments where fine-grained customization is required. The LocalContainerEntityManagerFactoryBean will create a PersistenceUnitInfo based on the persistence.xml file, the supplied dataSourceLookup strategy and the specified loadTimeWeaver. It is thus possible to work with custom DataSources outside of JNDI and to control the weaving process. <beans> <bean id="myEmf" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> <property name="dataSource" ref="someDataSource"/> <property name="loadTimeWeaver"> <bean class="org.springframework.instrument.classloading.InstrumentationLoadTimeWeaver"/> </property> </bean> </beans> A typical persistence.xml file looks as follows: <persistence xmlns="http://java.sun.com/xml/ns/persistence" version="1.0"> <persistence-unit name="myUnit" transaction-type="RESOURCE_LOCAL"> <mapping-file>META-INF/orm.xml</mapping-file> <exclude-unlisted-classes/> </persistence-unit> </persistence> NOTE: The "exclude-unlisted-classes" element always indicates that NO scanning for annotated entity classes is supposed to happen, in order to support the <exclude-unlisted-classes/> shortcut. This is in line with the JPA specification (which suggests that shortcut) but unfortunately in conflict with the JPA XSD (which implies "false" for that shortcut). As a consequence, "<exclude-unlisted-classes> false </exclude-unlisted-classes/>" is not supported! Simply omit the "exclude-unlisted-classes" element if you would like entity class scanning to actually happen. This is the most powerful JPA setup option, allowing for flexible local configuration within the application. It supports links to an existing JDBC DataSource, supports both local and global transactions, etc. However, it also imposes requirements onto the runtime environment, such as the availability of a weaving-capable ClassLoader if the persistence provider demands byte-code transformation. Note that this option may conflict with the built-in JPA capabilities of a Java EE 5 server. So when running in a full Java EE 5 environment, consider obtaining your EntityManagerFactory from JNDI. Alternatively, specify a custom "persistenceXmlLocation" on your LocalContainerEntityManagerFactoryBean definition, e.g. "META-INF/my-persistence.xml", and only include a descriptor with that name in your application jar files. Since the Java EE 5 server will only look for default META-INF/persistence.xml files, it will ignore such custom persistence units and hence avoid conflicts with a Spring-driven JPA setup upfront. (This applies to Resin 3.1, for example.) Use this option for full JPA capabilities in a Spring-based application environment. This includes web containers such as Tomcat as well as standalone applications and integration tests with sophisticated persistence requirements. Not all JPA providers impose the need of a JVM agent (Hibernate being an example). If your provider does not require an agent or you have other alternatives (for example applying enhancements at build time through a custom compiler or an ant task) the load-time weaver should not be used. The LoadTimeWeaver interface is a Spring-provided class that allows JPA ClassTransformer instances to be plugged in a specific manner depending on the environment (web container/application server). Hooking ClassTransformers through a Java 5 agent is typically not efficient - the agents work against the entire virtual machine and inspect every class that is loaded - something that is typically undesirable in a production server enviroment. Spring provides a number of LoadTimeWeaver implementations for various environments, allowing ClassTransformer instances to be applied only per ClassLoader and not per VM. The following sections will discuss typical JPA weaving setup on Tomcat as well as using Spring's VM agent. See the AOP chapter section entitled for details on how to set up general load-time weaving, covering Tomcat and the VM agent as well as WebLogic, OC4J, GlassFish and Resin.

Apache Tomcat's default ClassLoader does not support class transformation but allows custom ClassLoaders to be used. Spring offers the TomcatInstrumentableClassLoader (inside the org.springframework.instrument.classloading.tomcat package) which extends the Tomcat ClassLoader (WebappClassLoader) and allows JPA ClassTransformer instances to 'enhance' all classes loaded by it. In short, JPA transformers will be applied only inside a specific web application (which uses the TomcatInstrumentableClassLoader). In order to use the custom ClassLoader on: Tomcat 5.0.x/5.5.x Copy spring-tomcat-weaver.jar into $CATALINA_HOME/server/lib (where $CATALINA_HOME represents the root of the Tomcat installation). Instruct Tomcat to use the custom ClassLoader (instead of the default one) by editing the web application context file: <Context path="/myWebApp" docBase="/my/webApp/location"> <Loader loaderClass="org.springframework.instrument.classloading.tomcat.TomcatInstrumentableClassLoader"/> </Context> Tomcat 5.0.x and 5.5.x series support several context locations: server configuration file ($CATALINA_HOME/conf/server.xml), the default context configuration ($CATALINA_HOME/conf/context.xml) that affects all deployed web applications and per-webapp configurations, deployed on the server ($CATALINA_HOME/conf/[enginename]/[hostname]/my-webapp-context.xml) side or along with the webapp (your-webapp.war/META-INF/context.xml). For efficiency, inside the web-app configuration style is recommended since only applications which use JPA will use the custom ClassLoader. See the Tomcat 5.x documentation for more details about available context locations. Note that versions prior to 5.5.20 contained a bug in the XML configuration parsing preventing usage of Loader tag inside server.xml (no matter if a ClassLoader is specified or not (be it the official or a custom one). See Tomcat's bugzilla for more details. If you are using Tomcat 5.5.20+ you can set useSystemClassLoaderAsParent to false to fix the problem: <Context path="/myWebApp" docBase="/my/webApp/location"> <Loader loaderClass="org.springframework.instrument.classloading.tomcat.TomcatInstrumentableClassLoader" useSystemClassLoaderAsParent="false"/> </Context> Tomcat 6.0.x Copy spring-tomcat-weaver.jar into $CATALINA_HOME/lib (where $CATALINA_HOME represents the root of the Tomcat installation). Instruct Tomcat to use the custom ClassLoader (instead of the default one) by editing the web application context file: <Context path="/myWebApp" docBase="/my/webApp/location"> <Loader loaderClass="org.springframework.instrument.classloading.tomcat.TomcatInstrumentableClassLoader"/> </Context> Tomcat 6.0.x (similar to 5.0.x/5.5.x) series support several context locations: server configuration file ($CATALINA_HOME/conf/server.xml), the default context configuration ($CATALINA_HOME/conf/context.xml) that affects all deployed web applications and per-webapp configurations, deployed on the server ($CATALINA_HOME/conf/[enginename]/[hostname]/my-webapp-context.xml) side or along with the webapp (your-webapp.war/META-INF/context.xml). For efficiency, inside the web-app configuration style is recommended since only applications which use JPA will use the custom ClassLoader. See the Tomcat 5.x documentation for more details about available context locations. The last step required on all Tomcat versions, is to use the appropriate the LoadTimeWeaver when configuring LocalContainerEntityManagerFactoryBean: <bean id="emf" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> <property name="loadTimeWeaver"> <bean class="org.springframework.instrument.classloading.ReflectiveLoadTimeWeaver"/> </property> </bean> Using this technique, JPA applications relying on instrumentation, can run in Tomcat without the need of an agent. This is important especially when hosting applications which rely on different JPA implementations since the JPA transformers are applied only at ClassLoader level and thus, are isolated from each other. If TopLink Essentials is being used a JPA provider under Tomcat, please place the toplink-essentials jar under $CATALINA_HOME/shared/lib folder instead of your war.

For environments where class instrumentation is required but are not supported by the existing LoadTimeWeaver implementations, a JDK agent can be the only solution. For such cases, Spring provides InstrumentationLoadTimeWeaver which requires a Spring-specific (but very general) VM agent (spring-agent.jar): <bean id="emf" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> <property name="loadTimeWeaver"> <bean class="org.springframework.instrument.classloading.InstrumentationLoadTimeWeaver"/> </property> </bean> Note that the virtual machine has to be started with the Spring agent, by supplying the following JVM options: -javaagent:/path/to/spring-agent.jar

Since Spring 2.5, a context-wide LoadTimeWeaver can be configured using the context:load-time-weaver configuration element. Such a 'global' weaver will be picked up by all JPA LocalContainerEntityManagerFactoryBeans automatically. This is the preferred way of setting up a load-time weaver, delivering autodetection of the platform (WebLogic, OC4J, GlassFish, Tomcat, Resin, VM agent) as well as automatic propagation of the weaver to all weaver-aware beans. <context:load-time-weaver/> <bean id="emf" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> ... </bean> See the section entitled for details on how to set up general load-time weaving, covering Tomcat and the VM agent as well as WebLogic, OC4J, GlassFish and Resin.

For applications that rely on multiple persistence units locations (stored in various jars in the classpath for example), Spring offers the PersistenceUnitManager to act as a central repository and avoid the (potentially expensive) persistence units discovery process. The default implementation allows multiple locations to be specified (by default, the classpath is searched for 'META-INF/persistence.xml' files) which are parsed and later on retrieved through the persistence unit name: <bean id="pum" class="org.springframework.orm.jpa.persistenceunit.DefaultPersistenceUnitManager"> <property name="persistenceXmlLocation"> <list> <value>org/springframework/orm/jpa/domain/persistence-multi.xml</value> <value>classpath:/my/package/**/custom-persistence.xml</value> <value>classpath*:META-INF/persistence.xml</value> </list> </property> <property name="dataSources"> <map> <entry key="localDataSource" value-ref="local-db"/> <entry key="remoteDataSource" value-ref="remote-db"/> </map> </property> <!-- if no datasource is specified, use this one --> <property name="defaultDataSource" ref="remoteDataSource"/> </bean> <bean id="emf" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> <property name="persistenceUnitManager" ref="pum"/> </bean> Note that the default implementation allows customization of the persistence unit infos before feeding them to the JPA provider declaratively through its properties (which affect all hosted units) or programmatically, through the PersistenceUnitPostProcessor (which allows persistence unit selection). If no PersistenceUnitManager is specified, one will be created and used internally by LocalContainerEntityManagerFactoryBean.

While EntityManagerFactory instances are thread-safe, EntityManager instances are not. The injected JPA EntityManager behave just like an EntityManager fetched from an application server's JNDI environment, as defined by the JPA specification. It will delegate all calls to the current transactional EntityManager, if any; else, it will fall back to a newly created EntityManager per operation, making it thread-safe. It is possible to write code against the plain JPA without using any Spring dependencies, using an injected EntityManagerFactory or EntityManager. Note that Spring can understand @PersistenceUnit and @PersistenceContext annotations both at field and method level if a PersistenceAnnotationBeanPostProcessor is enabled. A corresponding DAO implementation might look like this: public class ProductDaoImpl implements ProductDao { private EntityManagerFactory emf; @PersistenceUnit public void setEntityManagerFactory(EntityManagerFactory emf) { this.emf = emf; } public Collection loadProductsByCategory(String category) { EntityManager em = this.emf.createEntityManager(); try { Query query = em.createQuery("from Product as p where p.category = ?1"); query.setParameter(1, category); return query.getResultList(); } finally { if (em != null) { em.close(); } } } } The DAO above has no dependency on Spring and still fits nicely into a Spring application context. Moreover, the DAO takes advantage of annotations to require the injection of the default EntityManagerFactory: <beans> <!-- bean post-processor for JPA annotations --> <bean class="org.springframework.orm.jpa.support.PersistenceAnnotationBeanPostProcessor"/> <bean id="myProductDao" class="product.ProductDaoImpl"/> </beans> Note: As alternative to defining a PersistenceAnnotationBeanPostProcessor explicitly, consider using Spring 2.5's context:annotation-config XML element in your application context configuration. This will automatically register all of Spring's standard post-processors for annotation-based configuration (including CommonAnnotationBeanPostProcessor etc). <beans> <!-- post-processors for all standard config annotations --> <context:annotation-config/> <bean id="myProductDao" class="product.ProductDaoImpl"/> </beans> The main issue with such a DAO is that it always creates a new EntityManager via the factory. This can be easily overcome by requesting a transactional EntityManager (also called "shared EntityManager", since it is a shared, thread-safe proxy for the actual transactional EntityManager) to be injected instead of the factory: public class ProductDaoImpl implements ProductDao { @PersistenceContext private EntityManager em; public Collection loadProductsByCategory(String category) { Query query = em.createQuery("from Product as p where p.category = :category"); query.setParameter("category", category); return query.getResultList(); } } Note that the @PersistenceContext annotation has an optional attribute type, which defaults to PersistenceContextType.TRANSACTION. This default is what you need to receive a "shared EntityManager" proxy. The alternative, PersistenceContextType.EXTENDED, is a completely different affair: This results in a so-called "extended EntityManager", which is not thread-safe and hence must not be used in a concurrently accessed component such as a Spring-managed singleton bean. Extended EntityManagers are only supposed to be used in stateful components that, for example, reside in a session, with the lifecycle of the EntityManager not tied to a current transaction but rather being completely up to the application. Annotations that indicate dependency injections (such as @PersistenceUnit and @PersistenceContext) can be applied on field or methods inside a class, therefore the expression "method/field level injection". Field-level annotations concise and easier to use while method-level allow for processing the injected dependency. In both cases the member visibility (public, protected, private) does not matter. What about class level annotations? On the Java EE 5 platform, they are used for dependency declaration and not for resource injection. The injected EntityManager is Spring-managed (aware of the ongoing transaction). It is important to note that even though the new implementation prefers method level injection (of an EntityManager instead of an EntityManagerFactory), no change is required in the application context XML due to annotation usage. The main advantage of this DAO style is that it depends on Java Persistence API; no import of any Spring class is required. Moreover, as the JPA annotations are understood, the injections are applied automatically by the Spring container. This is of course appealing from a non-invasiveness perspective, and might feel more natural to JPA developers.

As an advanced feature JpaTemplate, JpaTransactionManager and subclasses of AbstractEntityManagerFactoryBean support a custom JpaDialect, to be passed into the "jpaDialect" bean property. In such a scenario, the DAOs won't receive an EntityManagerFactory reference but rather a full JpaTemplate instance instead (for example, passed into JpaDaoSupport's "jpaTemplate" property). A JpaDialect implementation can enable some advanced features supported by Spring, usually in a vendor-specific manner: applying specific transaction semantics (such as custom isolation level or transaction timeout) retrieving the transactional JDBC Connection (for exposure to JDBC-based DAOs) advanced translation of PersistenceExceptions to Spring DataAccessExceptions This is particularly valuable for special transaction semantics and for advanced translation of exception. Note that the default implementation used (DefaultJpaDialect) doesn't provide any special capabilities and if the above features are required, the appropriate dialect has to be specified. See the JpaDialect Javadoc for more details of its operations and how they are used within Spring's JPA support.

To execute service operations within transactions, you can use Spring's common declarative transaction facilities. For example: <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-2.5.xsd"> <bean id="myTxManager" class="org.springframework.orm.jpa.JpaTransactionManager"> <property name="entityManagerFactory" ref="myEmf"/> </bean> <bean id="myProductService" class="product.ProductServiceImpl"> <property name="productDao" ref="myProductDao"/> </bean> <aop:config> <aop:pointcut id="productServiceMethods" expression="execution(* product.ProductService.*(..))"/> <aop:advisor advice-ref="txAdvice" pointcut-ref="productServiceMethods"/> </aop:config> <tx:advice id="txAdvice" transaction-manager="myTxManager"> <tx:attributes> <tx:method name="increasePrice*" propagation="REQUIRED"/> <tx:method name="someOtherBusinessMethod" propagation="REQUIRES_NEW"/> <tx:method name="*" propagation="SUPPORTS" read-only="true"/> </tx:attributes> </tx:advice> </beans> Spring JPA allows a configured JpaTransactionManager to expose a JPA transaction to JDBC access code that accesses the same JDBC DataSource, provided that the registered JpaDialect supports retrieval of the underlying JDBC Connection. Out of the box, Spring provides dialects for the Toplink, Hibernate and OpenJPA JPA implementations. See the next section for details on the JpaDialect mechanism.

The iBATIS support in the Spring Framework much resembles the JDBC support in that it supports the same template style programming and just as with JDBC or other ORM technologies, the iBATIS support works with Spring's exception hierarchy and let's you enjoy the all IoC features Spring has. Transaction management can be handled through Spring's standard facilities. There are no special transaction strategies for iBATIS, as there is no special transactional resource involved other than a JDBC Connection. Hence, Spring's standard JDBC DataSourceTransactionManager or JtaTransactionManager are perfectly sufficient. Spring supports iBatis 2.x. The iBatis 1.x support classes were moved to the Spring Modules project as of Spring 2.0, and you are directed there for documentation.

If we want to map the previous Account class with iBATIS 2.x we need to create the following SQL map 'Account.xml': <sqlMap namespace="Account"> <resultMap id="result" class="examples.Account"> <result property="name" column="NAME" columnIndex="1"/> <result property="email" column="EMAIL" columnIndex="2"/> </resultMap> <select id="getAccountByEmail" resultMap="result"> select ACCOUNT.NAME, ACCOUNT.EMAIL from ACCOUNT where ACCOUNT.EMAIL = #value# </select> <insert id="insertAccount"> insert into ACCOUNT (NAME, EMAIL) values (#name#, #email#) </insert> </sqlMap> The configuration file for iBATIS 2 looks like this: <sqlMapConfig> <sqlMap resource="example/Account.xml"/> </sqlMapConfig> Remember that iBATIS loads resources from the class path, so be sure to add the 'Account.xml' file to the class path. We can use the SqlMapClientFactoryBean in the Spring container. Note that with iBATIS SQL Maps 2.x, the JDBC DataSource is usually specified on the SqlMapClientFactoryBean, which enables lazy loading. <beans> <bean id="dataSource" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close"> <property name="driverClassName" value="${jdbc.driverClassName}"/> <property name="url" value="${jdbc.url}"/> <property name="username" value="${jdbc.username}"/> <property name="password" value="${jdbc.password}"/> </bean> <bean id="sqlMapClient" class="org.springframework.orm.ibatis.SqlMapClientFactoryBean"> <property name="configLocation" value="WEB-INF/sqlmap-config.xml"/> <property name="dataSource" ref="dataSource"/> </bean> </beans>

The SqlMapClientDaoSupport class offers a supporting class similar to the SqlMapDaoSupport. We extend it to implement our DAO: public class SqlMapAccountDao extends SqlMapClientDaoSupport implements AccountDao { public Account getAccount(String email) throws DataAccessException { return (Account) getSqlMapClientTemplate().queryForObject("getAccountByEmail", email); } public void insertAccount(Account account) throws DataAccessException { getSqlMapClientTemplate().update("insertAccount", account); } } In the DAO, we use the pre-configured SqlMapClientTemplate to execute the queries, after setting up the SqlMapAccountDao in the application context and wiring it with our SqlMapClient instance: <beans> <bean id="accountDao" class="example.SqlMapAccountDao"> <property name="sqlMapClient" ref="sqlMapClient"/> </bean> </beans> Note that a SqlMapTemplate instance could also be created manually, passing in the SqlMapClient as constructor argument. The SqlMapClientDaoSupport base class simply pre-initializes a SqlMapClientTemplate instance for us. The SqlMapClientTemplate also offers a generic execute method, taking a custom SqlMapClientCallback implementation as argument. This can, for example, be used for batching: public class SqlMapAccountDao extends SqlMapClientDaoSupport implements AccountDao { public void insertAccount(Account account) throws DataAccessException { getSqlMapClientTemplate().execute(new SqlMapClientCallback() { public Object doInSqlMapClient(SqlMapExecutor executor) throws SQLException { executor.startBatch(); executor.update("insertAccount", account); executor.update("insertAddress", account.getAddress()); executor.executeBatch(); } }); } } In general, any combination of operations offered by the native SqlMapExecutor API can be used in such a callback. Any SQLException thrown will automatically get converted to Spring's generic DataAccessException hierarchy.

DAOs can also be written against plain iBATIS API, without any Spring dependencies, directly using an injected SqlMapClient. A corresponding DAO implementation looks like as follows: public class SqlMapAccountDao implements AccountDao { private SqlMapClient sqlMapClient; public void setSqlMapClient(SqlMapClient sqlMapClient) { this.sqlMapClient = sqlMapClient; } public Account getAccount(String email) { try { return (Account) this.sqlMapClient.queryForObject("getAccountByEmail", email); } catch (SQLException ex) { throw new MyDaoException(ex); } } public void insertAccount(Account account) throws DataAccessException { try { this.sqlMapClient.update("insertAccount", account); } catch (SQLException ex) { throw new MyDaoException(ex); } } } In such a scenario, the SQLException thrown by the iBATIS API needs to be handled in a custom fashion: usually, wrapping it in your own application-specific DAO exception. Wiring in the application context would still look like before, due to the fact that the plain iBATIS-based DAO still follows the Dependency Injection pattern: <beans> <bean id="accountDao" class="example.SqlMapAccountDao"> <property name="sqlMapClient" ref="sqlMapClient"/> </bean> </beans>