Abstract: New techniques for automated database deployment are disclosed. Change SQL files intended for any target database are checked into a designated source code control repository. A pre-validation process is applied to the proposed changes and reports all errors therein, not just the first error found. A tracking mechanism may find and report changes that have been done against a database since the last deployment, including changes applied without following source control procedure. All recent SQL files since previous promotion can be automatically gathered and built into a master run book SQL for execution in a correct sequence. Backout SQL may also be automatically generated and validated. A pre-test or mock deployment may be performed during regular business hours against an automatically generated copy of the target database. With these techniques, deployments and maintenance of databases become more efficient, and failure rates and failover responses could be significantly improved.

Abstract: New techniques for automated database deployment are disclosed. Change SQL files intended for any target database are checked into a designated source code control repository. A pre-validation process is applied to the proposed changes and reports all errors therein, not just the first error found. A tracking mechanism may find and report changes that have been done against a database since the last deployment, including changes applied without following source control procedure. All recent SQL files since previous promotion can be automatically gathered and built into a master run book SQL for execution in a correct sequence. Backout SQL may also be automatically generated and validated. A pre-test or mock deployment may be performed during regular business hours against an automatically generated copy of the target database. With these techniques, deployments and maintenance of databases become more efficient, and failure rates and failover responses could be significantly improved.