SQL support / Database transactions |
A database transaction delimits a set of database operations (i.e. SQL statements), that are processed as a whole.
Database operations included inside a transaction are validated or canceled as a unique operation.
Figure 1. Database transaction
The database server is in charge of data concurrency and data consistency. Data concurrency allows the simultaneous access of the same data by many users, while data consistency gives each user a consistent view of the database.
Without adequate concurrency and consistency control, data can be changed improperly, compromising integrity of your database. If you want to write applications that can work with different kinds of database servers, you must adapt the program logic to the behavior of the database servers, regarding concurrency and consistency management. This requires good knowledge of multiuser database application programming, transactions, locking mechanisms, isolation levels and wait mode. If you are not familiar with these concepts, carefully read the documentation of each database server that covers this subject.
Usually, database servers set exclusive locks on rows that are modified or deleted inside a transaction. These locks are held until the end of the transaction to control concurrent access to that data. Some database servers implement row versioning (before modifying a row, the server makes a copy of the original row). This technique allows readers to see a consistent copy of the rows that are updated during a transaction not yet committed. When the isolation level is high (REPEATABLE READ) or when using a SELECT FOR UPDATE statement, the database server sets shared locks on fetched rows, to prevent other users from changing the rows fetched by the reader. These locks are held until the end of the transaction. Some database servers allow read locks to be held regardless of the transactions (WITH HOLD cursor option), but this is not a standard.
Programs accessing the database can change transaction parameters such as the isolation level or lock wait mode. To write portable applications, you must use a configuration that produces the same behavior on every database engine.
The recommended programming pattern regarding transactions is following:
To write portable SQL applications, programmers use the BEGIN WORK, COMMIT WORK and ROLLBACK WORK instructions described in this section to delimit transaction blocks and define concurrency parameters with SET ISOLATION and SET LOCK MODE. These instructions are part of the language syntax. At runtime, the database driver generates the appropriate SQL commands to be used with the target database server. This allows you to use the same source code for different kinds of database servers.
If you initiate a transaction with a BEGIN WORK statement, you must issue a COMMIT WORK at the end of the transaction. If one of the SQL statement fails in the transaction, you typically issue a ROLLBACK WORK to force the database server to cancel any modifications that the transaction made to the database. If you do not issue a BEGIN WORK statement to start a transaction, each statement executes within its own transaction. These single-statement transactions do not require either a BEGIN WORK statement or a COMMIT WORK statement.
Recent database engines support transaction savepoints, which allowing to set markers in the current transaction, in order to rollback to a specific point without canceling the complete transaction. The transaction savepoint instructions SAVEPOINT, ROLLBACK TO SAVEPOINT and RELEASE SAVEPOINT are part of the language syntax and can be directly used in the code.
Some database servers do not support a Data Definition Language (DDL) statements (like CREATE TABLE) inside transactions, and some commit automatically the transaction when such a statement is executed. Therefore, it is strongly recommended that you avoid DDL statements inside transactions.
A transaction that processes many rows can exceed the limits that your operating system or the database server configuration imposes on the maximum number of simultaneous locks. Include a limited number of SQL operations in a transaction blocks.