Click here to view and discuss this page in DocCommentXchange. In the future, you will be sent there automatically.

SQL Anywhere 11.0.1 (Français) » SQL Anywhere Server - SQL Usage » Creating Databases » Using transactions and isolation levels

 

Introduction to concurrency

Concurrency is the ability of the database server to process multiple transactions at the same time. Were it not for special mechanisms within the database server, concurrent transactions could interfere with each other to produce inconsistent and incorrect information. For example, a database system in a department store must allow many clerks to update customer accounts concurrently. Each clerk must be able to update the status of the accounts as they assist each customer: they cannot afford to wait until no one else is using the database.

Who needs to know about concurrency

Concurrency is a concern to all database administrators and developers. Even if you are working with a single-user database, you must be concerned with concurrency if you want to process requests from multiple applications or even from multiple connections from a single application. These applications and connections can interfere with each other in exactly the same way as multiple users in a network setting.

Transaction size affects concurrency

The way you group SQL statements into transactions can have significant effects on data integrity and on system performance. If you make a transaction too short and it does not contain an entire logical unit of work, then inconsistencies can be introduced into the database. If you write a transaction that is too long and contains several unrelated actions, then there is a greater chance that a ROLLBACK will unnecessarily undo work that could have been committed quite safely into the database.

If your transactions are long, they can lower concurrency by preventing other transactions from being processed concurrently.

There are many factors that determine the appropriate length of a transaction, depending on the type of application and the environment.

To learn more about running concurrent SQL Anywhere database servers, see Introduction to running SQL Anywhere database servers.