2e75adb04c
Prior to this commit, the support for SQL script execution via @Sql provided an algorithm for looking up a required PlatformTransactionManager to use to drive transactions. However, a transaction manager is not actually required for all testing scenarios. This commit improves the transaction management support for @Sql so that SQL scripts can be executed without a transaction if a transaction manger is not present in the ApplicationContext. The updated algorithm now supports the following use cases. - If a transaction manager and data source are both present (i.e., explicitly specified via the transactionManager and dataSource attributes of @SqlConfig or implicitly discovered in the ApplicationContext based on conventions), both will be used. - If a transaction manager is not explicitly specified and not implicitly discovered based on conventions, SQL scripts will be executed without a transaction but requiring the presence of a data source. If a data source is not present, an exception will be thrown. - If a data source is not explicitly specified and not implicitly discovered based on conventions, an attempt will be made to retrieve it by using reflection to invoke a public method named getDataSource() on the transaction manager. If this attempt fails, an exception will be thrown. - If a data source can be retrieved from the resolved transaction manager using reflection, an exception will be thrown if the resolved data source is not the data source associated with the resolved transaction manager. This helps to avoid possibly unintended configuration errors. - If @SqlConfig.transactionMode is set to ISOLATED, an exception will be thrown if a transaction manager is not present. Issue: SPR-11911
Spring Framework
The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform. A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
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