| Patent application number | Description | Published |
| 20090077016 | FULLY AUTOMATED SQL TUNING - Techniques are provided for a fully-automated process for tuning database query language statements that selects database query language statements for tuning, tunes the database query language statements and generates tuning recommendations, tests the tuning recommendations, and determines whether to implement the tuning recommendations based on the test results. The fully-automated tuning process may also automatically implement certain tuning recommendations and monitor the performance of the database query language statements for which tuning recommendations have been implemented. | 03-19-2009 |
| 20090106219 | SQL Execution Plan Verification - Approaches, techniques, and mechanisms are disclosed for ensuring that a database command is executed according to a query plan that has been verified to be actually optimal. Except in rare circumstances, a database server does not execute a query plan unless it is first verified by the database server. The database server receives a request to execute a database command. The database server determines an unverified plan is the best plan for satisfying the request. Rather than risk the unknown behavior of an unverified plan, the database server instead satisfies the request according to a verified plan. Subsequently—for example as part of a scheduled job—the database server executes the unverified plan to determine performance statistics. Based at least on the performance statistics, the database server determines whether or not to verify the unverified plan. Techniques for concurrent and optimistic verifications are also disclosed. | 04-23-2009 |
| 20090106306 | SQL Execution Plan Baselines - Approaches, techniques, and mechanisms are disclosed for maintaining a set of baseline query plans for a database command. Except in rare circumstances, a database server may only execute a command according to a baseline plan, even if the database server predicts that a different plan has a lower cost. The set of baseline plans are plans that, for one reason or another, have been determined to provide acceptable actual performance in at least one execution context. When the database server receives a request to execute a particular command, the database server, if possible, always executes the command according to the lowest predicted cost baseline plan. The database server may evolve the plan baseline to include additional plans by generating and testing new plans in response to new requests to execute the database command, or as part of a query optimization or tuning process. | 04-23-2009 |
| 20100005340 | Test execution of user SQL in database server code - Systems, methods, and other embodiments associated with test execution of user SQL in server code are described. One example method includes producing a reproduced execution environment that reproduces a portion of an execution environment in which a user SQL runs. The example method may also include running the user SQL in the reproduced execution environment and capturing a statistic associated with performance of the user SQL while the user SQL runs in the reproduced execution environment. The method may conclude by storing, displaying, and/or providing a signal concerning the statistic. | 01-07-2010 |
| 20100030758 | Hybrid optimization strategies in automatic SQL tuning - Systems, methods, and other embodiments associated with hybrid optimization strategies in automatic SQL tuning are described. One example method includes receiving a first (e.g., cost-based) execution plan for a user structured query language statement (User SQL) from a first (e.g., cost-based) optimizer. The example method may also include receiving a second (e.g., rules-based) execution plan for the User SQL from a second, different (e.g., rules-based) query optimizer. The method may include identifying a preferred execution plan based on data produced by test executing the execution plans in a reproduced execution environment that reproduces at least a portion of an execution environment in which the user SQL runs. The method may also include controlling a database to execute the User SQL using the preferred execution plan. | 02-04-2010 |