{"id":3399,"date":"2025-12-24T10:00:40","date_gmt":"2025-12-24T15:00:40","guid":{"rendered":"https:\/\/www.mymiller.name\/wordpress\/?p=3399"},"modified":"2025-12-24T10:00:40","modified_gmt":"2025-12-24T15:00:40","slug":"spring-acid","status":"publish","type":"post","link":"https:\/\/www.mymiller.name\/wordpress\/spring_databases\/spring-acid\/","title":{"rendered":"Spring ACID"},"content":{"rendered":"

In the context of Spring Java, transactional behavior is managed using the Spring Framework’s transaction management capabilities. Transactional behavior ensures that a group of database operations either succeed as a whole (commit) or fail as a whole (rollback). Transactional behavior helps maintain data consistency and integrity.<\/p>\n

Transaction acidity refers to the guarantee of the properties of a transaction, which are commonly referred to as ACID properties. ACID stands for Atomicity, Consistency, Isolation, and Durability. Let’s explore each of these properties:<\/p>\n

    \n
  1. \n

    Atomicity: An atomic transaction is indivisible and considered as a single unit of work. It means that either all the operations within the transaction are successfully completed, or none of them take effect. If any part of the transaction fails, all changes made within the transaction are rolled back, and the database is left unchanged.<\/p>\n<\/li>\n

  2. \n

    Consistency: Consistency ensures that the database remains in a valid state before and after the transaction. The database must follow certain integrity constraints defined by the schema. If a transaction violates any of these constraints, the changes made by the transaction are rolled back, and the database returns to a consistent state.<\/p>\n<\/li>\n

  3. \n

    Isolation: Isolation ensures that each transaction operates independently of other concurrent transactions. It prevents interference between transactions, ensuring that each transaction sees a consistent and isolated snapshot of the data. Isolation levels, such as Read Uncommitted, Read Committed, Repeatable Read, and Serializable, define the trade-offs between concurrency and data consistency.<\/p>\n<\/li>\n

  4. \n

    Durability: Durability guarantees that once a transaction is committed, its changes are permanent and will survive any subsequent failures, such as power outages or system crashes. The changes made by the transaction are stored safely and can be recovered even if the system fails.<\/p>\n<\/li>\n<\/ol>\n

    In Spring Java, you can manage transaction acidity using annotations or XML configuration. The @Transactional<\/code> annotation is commonly used to mark methods or classes that should be executed within a transaction. By default, transactions are managed at the method level, but you can also define transactions at the class level.<\/p>\n

    Here’s an example of using the @Transactional<\/code> annotation in Spring:<\/p>\n

    @Transactional\npublic void performTransaction() {\n    \/\/ Transactional code\n    \/\/ This method and any database operations within it will be executed in a transaction\n}\n<\/code><\/pre>\n
    You can also customize the behavior of transactions by specifying attributes for the @Transactional<\/code> annotation. For example, you can define the propagation behavior, isolation level, rollback rules, and more.<\/p>\n
    By ensuring transaction acidity through the ACID properties, Spring Java helps maintain data integrity and provides a reliable mechanism for managing database operations within your application.
    \nThe @Transactional<\/code> annotation in Spring Java provides several attributes that allow you to customize the behavior of transactions. These attributes enable you to define propagation behavior, isolation level, rollback rules, and more. Let’s explore some of the commonly used attributes:<\/p>\n
      \n
    1. \n
      propagation<\/code>: This attribute defines the propagation behavior of the transaction. It determines how the transaction should behave when invoked by a method that is already running within a transaction. Some common propagation options include:<\/p>\n
        \n
      • REQUIRED<\/code> (default): If a transaction exists, the method will run within that transaction. Otherwise, a new transaction will be created.<\/li>\n
      • REQUIRES_NEW<\/code>: A new transaction will always be created for the method, suspending the current transaction if one exists.<\/li>\n
      • SUPPORTS<\/code>: If a transaction exists, the method will run within that transaction. If no transaction exists, the method will run non-transactionally.<\/li>\n<\/ul>\n<\/li>\n
      • \n
        isolation<\/code>: This attribute specifies the isolation level of the transaction. Isolation levels determine how concurrent transactions should interact with each other. Some common isolation options include:<\/p>\n
          \n
        • DEFAULT<\/code> (default): The default isolation level of the underlying database will be used.<\/li>\n
        • READ_UNCOMMITTED<\/code>: Allows dirty reads, meaning a transaction can see uncommitted changes made by other transactions.<\/li>\n
        • READ_COMMITTED<\/code>: Allows non-repeatable reads, meaning a transaction can’t see changes made by other transactions until they are committed.<\/li>\n
        • REPEATABLE_READ<\/code>: Ensures repeatable reads, meaning a transaction sees a consistent snapshot of data even if other transactions modify it.<\/li>\n
        • SERIALIZABLE<\/code>: Provides the highest level of isolation, ensuring serializable transactions.<\/li>\n<\/ul>\n<\/li>\n
        • \n
          readOnly<\/code>: This attribute indicates whether the transaction is read-only or not. Setting it to true<\/code> can provide performance optimizations, as the database doesn’t need to track changes for rollback purposes.<\/p>\n<\/li>\n
        • \n
          timeout<\/code>: This attribute specifies the timeout value in seconds for the transaction. If the transaction takes longer than the specified timeout, it will be rolled back.<\/p>\n<\/li>\n
        • \n
          rollbackFor<\/code> and noRollbackFor<\/code>: These attributes define the exceptions that trigger a transaction rollback or exclude them from rollback, respectively. You can specify exceptions or a list of exceptions using these attributes.<\/p>\n<\/li>\n
        • \n
          rollbackForClassName<\/code> and noRollbackForClassName<\/code>: Similar to rollbackFor<\/code> and noRollbackFor<\/code>, these attributes allow you to specify exception class names as strings instead of using the actual exception classes.<\/p>\n<\/li>\n<\/ol>\n
          These are just a few of the available attributes of the @Transactional<\/code> annotation in Spring Java. Depending on your specific requirements, you can use these attributes to fine-tune the behavior of transactions within your application.<\/p>\n","protected":false},"excerpt":{"rendered":"
          In the context of Spring Java, transactional behavior is managed using the Spring Framework’s transaction management capabilities. Transactional behavior ensures that a group of database operations either succeed as a whole (commit) or fail as a whole (rollback). Transactional behavior helps maintain data consistency and integrity. Transaction acidity refers to the guarantee of the properties […]<\/p>\n","protected":false},"author":1,"featured_media":3432,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[435],"tags":[319],"series":[397],"class_list":["post-3399","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-spring_databases","tag-spring","series-spring"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/www.mymiller.name\/wordpress\/wp-content\/uploads\/2023\/11\/safety-44424_640.png?fit=640%2C482&ssl=1","jetpack-related-posts":[{"id":3928,"url":"https:\/\/www.mymiller.name\/wordpress\/spring_databases\/%f0%9f%92%a1-implementing-cqrs-with-spring-boot-and-kafka\/","url_meta":{"origin":3399,"position":0},"title":"\ud83d\udca1 Implementing CQRS with Spring Boot and Kafka","author":"Jeffery Miller","date":"April 20, 2026","format":false,"excerpt":"As a software architect, I constantly look for patterns that enhance the scalability and maintainability of microservices. 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