Abstract: Requests to be executed in the database system are received, where a plurality of the requests are provided in a queue for later execution. Priority indicators are calculated for assignment to corresponding ones of the plurality of requests in the queue, where the priority indicators are calculated based on delay times and predefined priority levels of the requests. The requests in the queue are executed in order according to the calculated priority indicators.

Abstract: A computer-implemented method, apparatus and article of manufacture for optimizing a database query. A query execution plan is generated for the database query, which may be stored in an in-line query capture database. Execution of the query execution plan may be monitored in order to generate performance information, which also may be stored in the in-line query capture database. The data stored in in-line query capture database may be used during the initial generation of query execution plans, as well as for the re-optimization of a query execution plan, during the execution of the query execution plan.

Abstract: A filter receives a request to perform an operation in a database system, and the filter receives a resource estimate relating to the request from an optimizer. The filter determines whether the resource estimate exceeds an available resource of the database system, and if so, the filter rejects the request prior to execution of the request.

Abstract: Excess capacity available to a database system in a capacity controlled environment can be effectively managed for maintenance and/or tuning activities. In this context, excess capacity can be used as needed and/or on a temporary basis. Furthermore, maintenance and/or tuning activities can be performed without requiring the use of the configured or allotted capacity. As a result, these operations can be performed without adversely affecting other operations which may be deemed more critical by the users of databases. System maintenance and tuning (or fine tuning) of a database environment can, for example, include operations associated with “Physical Tuning,” and “Index Tuning”. Some exemplary operations include collecting Statistics, analyzing a database workload, sampling, analyzing an execution plan, creating indexes.

Abstract: Excess capacity available to a database system in a capacity controlled environment can be effectively managed for maintenance and/or tuning activities. In this context, excess capacity can be used as needed and/or on a temporary basis. Furthermore, maintenance and/or tuning activities can be performed without requiring the use of the configured or allotted capacity. As a result, these operations can be performed without adversely affecting other operations which may be deemed more critical by the users of databases. System maintenance and tuning (or fine tuning) of a database environment can, for example, include operations associated with “Physical Tuning,” and “Index Tuning”. Some exemplary operations include collecting Statistics, analyzing a database workload, sampling, analyzing an execution plan, creating indexes.

Abstract: For a given pool of database requests, a database system generates an integrated execution plan for multiple ones of the database requests in the pool. The database system determines whether to execute the integrated execution plan or individual execution plans corresponding to the respective multiple database queries. The determining is based on one or more criteria including performance goals corresponding to the respective multiple database requests.

Abstract: A computer-implemented method, apparatus and article of manufacture for optimizing execution of database queries in a computer system. In one embodiment, the steps and functions include: generating first and second query execution plans for first and second requests, wherein the first and second query execution plans are each comprised of one or more steps that scan a specified table in a database stored on the computer system in order to retrieve data from the table; and executing the first and second query execution plans, wherein intelligent query dispatching is performed on the steps of the first and second query execution plans to ensure that the steps share the data retrieved from the table and cached in memory.

Abstract: A computer-implemented apparatus, method, and article of manufacture for optimizing a database query. System conditions and operating environment events that occur during operation of the computer system are monitored. An n-dimensional optimizer matrix is used to identify at least one rule resulting from the monitored system conditions and operating environment events. An optimal query execution plan is selected from among a plurality of query execution plans generated for the query in response to the identified rule.

Abstract: A computer-implemented method, apparatus and article of manufacture for optimizing a database query. A query execution plan is generated for the database query, which may be stored in an in-line query capture database. Execution of the query execution plan may be monitored in order to generate performance information, which also may be stored in the in-line query capture database. The data stored in in-line query capture database may be used during the initial generation of query execution plans, as well as for the re-optimization of a query execution plan, during the execution of the query execution plan.

Abstract: A system emulation tool and method provides a user interface having various options that are selectable by a user for exporting environment information from one or more target database systems. The user interface in one arrangement includes multiple screens that are invoked in response to user action. Exported data from the one or more target database systems is stored in corresponding files. The user interface of the system emulation tool also provides options to enable a user to import the environment information to a test system. In the test system, the environment information is used to create an environment that emulates the environment of the target database system.