Abstract: An SQL procedure deployment system deploys a query procedure comprising a procedural logic component and a database request component from a source system to a target system. At generation of the query procedure, the system generates a query procedure source code, a symbol table, and an encapsulated optimization results to regenerate run-time instructions for query statements of the database request component and make the query statements function with a deployed procedural logic component. The system maintains an association between the procedural logic component and the database request component during deployment. The system copies an internal representation of the procedural logic component to the target system without regeneration. The system regenerates the database request component to recreate the query procedure on the target system and to maintain a consistent interface between the procedural logic component and database request component.

Abstract: A method and system for efficiently identifying materialized view candidates for queries filters materialized views using certain criteria, using the materialized view signatures. This filtering rejects some of the unqualified materialized views prior to the performance of the query rewrite matching algorithm, resulting in a group of materialized view candidates. The query rewrite matching algorithm is then performed on the materialized view candidates. By first filtering the materialized views based on their signatures, the number of materialized views on which the query rewrite matching algorithm is performed is significantly reduced, improving performance.

Abstract: An SQL procedure deployment system deploys a query procedure comprising a procedural logic component and a database request component from a source system to a target system. At generation of the query procedure, the system generates a query procedure source code, a symbol table, and an encapsulated optimization results to regenerate run-time instructions for query statements of the database request component and make the query statements function with a deployed procedural logic component. The system maintains an association between the procedural logic component and the database request component during deployment. The system copies an internal representation of the procedural logic component to the target system without regeneration. The system regenerates the database request component to recreate the query procedure on the target system and to maintain a consistent interface between the procedural logic component and database request component.

Abstract: A method and system for using a procedure residing and executed entirely within a database system is disclosed. The procedure utilizes at least one variable, which has a plurality of attributes. The method and system include defining the at least one variable as at least one global variable prior to calling of the procedure. Defining the global variable(s) includes informing the database system of the plurality of attributes of the variable(s) and allowing the database system access to the at least one variable. The method and system also include tracking the global variable(s).

Abstract: A method, apparatus, and article of manufacture for optimizing a query in a computer system, wherein the query is performed by the computer system to retrieve data from a database stored on the computer system. The optimization includes: (a) combining join predicates from a query with local predicates from each branch of one or more UNION ALL views referenced by the query; (b) analyzing the combined predicates; and (c) not generating the join when the analysis step indicates that the combined predicates lead to an empty result.

Abstract: A method and system for efficiently identifying materialized view candidates for queries filters materialized views using certain criteria, using the materialized view signatures. This filtering rejects some of the unqualified materialized views prior to the performance of the query rewrite matching algorithm, resulting in a group of materialized view candidates. The query rewrite matching algorithm is then performed on the materialized view candidates. By first filtering the materialized views based on their signatures, the number of materialized views on which the query rewrite matching algorithm is performed is significantly reduced, improving performance.