Sybase, Inc.

David Walrath

Steven A Kirk

Roland F McKenney

Roger D MacNicol

Fang-Ying Yen

Kurt Wilhelm Deschler

A method may include accepting a database query including an operator requesting two or more incoming tuple streams be combined into a result tuple stream. At least one data value in the incoming tuple streams may be represented by an enumeration value. The method may include generating a query execution plan for the database query. The query execution plan may include encoding the enumeration value and a corresponding source identifier into a composite union enumeration. The source identifier may identify which of the two or more tuple streams corresponds to the enumeration value. The method may further include executing the database query according to the query execution plan to obtain the data value and providing the data value in response to the database query.

Accelerating database queries using composite union enumeration

A database query may include an operator requesting two or more incoming tuple streams be combined into a result tuple stream. Generating a query execution plan may include constructing an equivalence union enumeration lookup table for a result domain of an element within the result tuple stream by taking a set union of incoming tuple domains, wherein each distinct value within that result domain is assigned an enumeration value. Generating the query execution plan may include constructing a secondary enumeration for each incoming tuple stream, wherein each secondary enumeration maps enumerated values within the incoming tuple stream into secondary ordinal values that correspond to equivalence union enumeration values. Generating the query execution plan may include mapping an incoming enumeration value through the secondary enumeration to produce an equivalence union enumeration value, and/or mapping, with the equivalence union enumeration lookup table, the equivalence union enumeration value to a cell value.

Accelerating database queries using equivalence union enumeration

Systems, methods and articles of manufacture for accelerating database queries containing bitmap-based conditions are described herein. An embodiment includes determining a bitmap, where the bitmap represents a set of rows that have satisfied one or more conjunctive conditions which preceded a conjunct that is a disjunction in a query expression and restricting evaluation of a disjunct within the disjunction to the set of rows represented by the bitmap. Another embodiment includes determining a satisfaction bitmap, where the bitmap represents the result of one or more preceding disjuncts in a disjunction within a query expression and restricting scope of evaluation of a disjunct to a set of rows that are not within the determined satisfaction bitmap. In this way, embodiments of the present invention enable the acceleration of queries containing disjunctions of conditions on a database table, as well as reduce the temporary resources consumed for such queries.

Accelerating database queries containing bitmap-based conditions

A system, method, and computer program product for processing a database query are presented. Steps for identifying a table needed to resolve the query, creating an enumeration value, determining whether the enumeration value is semantically equivalent to data from a data field in the table, and using a temporary data structure to evaluate the query are disclosed.

Accelerating queries using delayed value projection of enumerated storage

A method, computer program product, and system are provided for accelerating a query in a database system. For example, an embodiment of the method may include generating a data structure identifying a set of rows that satisfy conditions local to a table prior to an evaluation of a query and modifying the query based on the data structure. In addition, the method may include repeating the steps with respect to generating the data structure and modifying the query, if one or more additional local conditions are inferred from modifying the query based on the data structure.

Accelerating queries based on exact knowledge of specific rows satisfying local conditions

A system, method, and computer program product for processing a database query are presented. Steps for creating a secondary enumeration when necessary and utilizing the secondary enumeration to improve query operations by processing enumeration values of the secondary enumeration instead of data represented by the enumeration values are disclosed.

Accelerating queries using secondary semantic column enumeration

A system, method, and computer program product are provided for sorting a set of records in a sort run. As the records are sorted, metadata regarding the sort run is gathered, and subsequently used to determine bounds of two or more disjoint subsets of the sort run. This enables the parallelization of several tasks over the sort run data using efficient, dynamic bounds determination, such as the outputting of sorted data from the disjoint subsets in parallel.

Method and system for determining boundary values dynamically defining key value bounds of two or more disjoint subsets of sort run-based parallel processing of data from databases

A system, method, and computer program product for processing a database query are presented. Steps for identifying a value expression comprising information needed in order to resolve a query, associating enumerated values with the set of distinct values for the value expression, evaluating the query utilizing the enumerated values, and deleting the association are disclosed.

Growing community of inventors

Stow, MA, United States of America

David Walrath