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Azure SQL Database Documentation

Database Transactions in Azure SQL Database

Transactions are a fundamental concept in relational databases, ensuring data integrity and consistency. In Azure SQL Database, transactions are handled using the standard SQL transaction control language. A transaction is a logical unit of work that consists of one or more database operations. These operations are treated as a single, indivisible unit: either all operations within the transaction are completed successfully, or none of them are.

ACID Properties

Transactions in Azure SQL Database adhere to the ACID properties:

Transaction Control Language (TCL)

You control transactions using the following Transact-SQL statements:

Example of a Transaction

BEGIN TRANSACTION; UPDATE Accounts SET Balance = Balance - 100 WHERE AccountId = 101; UPDATE Accounts SET Balance = Balance + 100 WHERE AccountId = 202; // Check for sufficient funds before committing IF EXISTS ( SELECT 1 FROM Accounts WHERE AccountId = 101 AND Balance < 0 ) BEGIN ROLLBACK TRANSACTION; PRINT 'Transaction rolled back due to insufficient funds.'; END ELSE BEGIN COMMIT TRANSACTION; PRINT 'Transaction committed successfully.'; END;

Isolation Levels

Azure SQL Database supports the following standard SQL Server isolation levels:

You can set the isolation level for a specific transaction using the SET TRANSACTION ISOLATION LEVEL statement.

Performance Considerations

While higher isolation levels provide stronger data consistency guarantees, they can also lead to increased locking and contention, potentially impacting performance. It's crucial to choose an isolation level that balances your application's data integrity requirements with its performance needs.

Implicit Transactions

When implicit transactions are enabled, each individual DML statement is treated as its own transaction. This behavior can be changed using the SET IMPLICIT_TRANSACTIONS ON/OFF command. By default, implicit transactions are OFF, and you must explicitly use BEGIN TRANSACTION.

Best Practices

  • Keep transactions as short as possible to minimize blocking.
  • Perform only necessary operations within a transaction.
  • Use appropriate isolation levels.
  • Handle errors and rollbacks gracefully.
  • Avoid long-running transactions that hold locks for extended periods.