International Business Machines Corporation

Patrick Michael Malone

Thomas Abel Beavin

Jerry Mukai

Jeffrey Ralph Ruggles

Yun Yu Wang

Guogen Zhang

Shuanglin Guo

Christopher John Crone

Randy Mitchell Nakagawa

Hsiuying Yen Cheng

Stephen Yao Ching Chen

Desai Paramesh Sampatrai

Brian Tran

Xun Li

Xiazhen Wang

A method, apparatus, and article of manufacture for improving the performance of evaluating predicates with non-matching operands by aggressively casting the input value to the data type of the target column before the data of the target column is accessed.

High performance predicate push-down for non-matching predicate operands

A technique for optimizing execution of a query that accesses data stored on a data store connected to a computer. Query predicates involving different data types are identified. A second query predicate is generated which includes matching data types, and if necessary, converted operators. The second query predicate with the matching data types and/or converted operators is executed to obtain a subset of records using an index manager or data manager. The subset of records is converted to the data types of the remaining query predicates. The first query predicate is applied against the subset of records to obtain a result, and the remaining query predicates of the original query are applied to the result of the first query predicate and any other additional converted query predicates to obtain a final result.

Optimization of SQL queries using filtering predicates

Disclosed is a method, system, and program for performing a join operation on a multi-column table and at least two satellite tables having a join condition. Each satellite table is comprised of multiple rows and at least one join column. The multi-column table is comprised of multiple rows and at least one column corresponding to the join column in each satellite table. A join operation is performed on the rows of the satellite tables to generate concatenated rows of the satellite tables. One of the concatenated rows is joined to the multi-column table and a returned entry from the multi-column table is received. A determination is then made as to whether the returned entry matches the search criteria. If so, a determination is made as to whether one of the satellite tables has duplicates of values in the join column of the returned matching entry or the multi-column table has duplicate entries in the join columns. Returned matching entries are generated for each duplicate value in the satellite tables and duplicate entry in the multi-column table.

Method, system, and program for a join operation on a multi-column table and satellite tables including duplicate values

A method, apparatus and article of manufacture for computer implemented method of efficiently executing built-in functions is defined. Function modules are defined to process a single data type class and to process as many functions as possible before returning to the caller. Functions related to a query are each assigned a key, a type of code, to indicate the data type class to which the function belongs. The functions are then ordered so that a particular module scope can be held as long as possible. Further, data fields, another type of code containing optimization information, can be added to the functions to further enable the holding of module scope. Finally, the functions are executed at runtime. During execution, the database system looks ahead at upcoming functions in an attempt anticipate the next course of action by examining the keys and data fields. Various additional optimization techniques can then be used to enhance runtime performance.

Method and apparatus for efficiently executing built-in functions

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San Jose, CA, United States of America

Patrick Michael Malone