![]() This has implications with respect to testability, manageability, and portability of the application. One of the main drawbacks of performing transactions in the context of an application server is that the application becomes tightly coupled with the server. This provides precise control to the application in marking the boundaries of the transaction, albeit at the cost of more complexity. Bean-managed Transaction: Contrary to the container-managed transaction, in a bean-managed transaction EJBs contain the explicit statements to define the transaction demarcation.However, this does not provide enough flexibility for the application. This simplifies the development of Enterprise Java Beans (EJB) as it does not include statements related to transaction demarcation and relies solely on the container to do so. Container-managed Transaction: As the name suggests, here the transaction boundary is set by the application server.We further use Session to define transaction boundaries using the methods commit and rollback. We get the Destination from the Session we created earlier. Here, we’re creating a MessageProducer for the Destination of the type of topic. MessageProducer producer = session.createProducer(destination) Session session = connection.createSession(true, 0) ĭestination = destination = session.createTopic("TEST.FOO") Let’s see how we can create a transacted Session to send multiple messages under a transaction: ActiveMQConnectionFactory connectionFactory = new ActiveMQConnectionFactory(CONNECTION_URL) Ĭonnection connection = connectionFactory.createConnection() For non-transaction Sessions, we can further define an appropriate acknowledge mode as well. We have an option to create a Session that is transacted or not. JMS allows us to create a Session from a Connection that we obtain from a vendor-specific ConnectionFactory. The scope of the transaction remains between the client and the JMS provider: However, by the nature of message-based integration architecture, production and consumption of a message cannot be part of the same transaction. The JMS API supports bundling multiple send or receives operations in a single transaction. Then we’re defining the transaction boundary with begin, commit, and rollback methods. ![]() Here, we’re creating an EntityManager from EntityManagerFactory within the context of a transaction-scoped persistence context. Let’s see how can we create an EntityManager and define a transaction boundary manually: EntityManagerFactory entityManagerFactory = Persistence.createEntityManagerFactory("jpa-example") ĮntityManager entityManager = entityManagerFactory.createEntityManager() ĮntityManager.getTransaction().rollback() The default scope of a persistence context is transaction-scope. ![]() While the extended-scoped persistence context can span across multiple transactions. A transaction-scoped persistence context is bound to a single transaction. The persistence context here can be of two types, transaction-scoped or extended-scoped. JDBC also allows us to set a Savepoint that provides us more control over how much to rollback. Hence, we can manually define the transaction boundary and perform a commit or rollback. Here, we have disabled the auto-commit mode of Connection. ![]() PreparedStatement secondStatement = connection. PreparedStatement firstStatement = connection. However, if we wish to bundle multiple statements in a single transaction, this is possible to achieve as well: Connection connection = DriverManager.getConnection(CONNECTION_URL, USER, PASSWORD) To clarify, what this means is that every single statement is treated as a transaction and is automatically committed right after execution. The default behavior of a Connection is auto-commit. JDBC provides us the options to execute statements under a transaction.
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