Abstract: In accordance with a first aspect, a software component is equipped to identify looked-up table fields in a data processing statement, and automatically includes with a SQL statement one or more appropriate JOIN clauses joining one or more target tables from which the table fields are to be looked up with a basis table. In one embodiment, the looked-up table fields are expressed in a multi-part form. In accordance with a second aspect, a software component is equipped to automatically expand table fields available for inclusion in a data processing operation to include table fields of a target table of a look-up table field, in response to the selection of the look-up table field. In one embodiment, the second aspect is practiced in conjunction with the automatic inclusion of appropriate JOIN clauses to a SQL statement of the first aspect.

Abstract: In accordance with a first aspect, a software component is equipped to identify non-looked-up table fields and looked-up table fields to be grouped, and table fields having aggregate functions to be performed in their row values in a data processing statement, and automatic inclusion with a SQL statement a subquery to generate a grouped derivative table comprising grouped non-looked-up table fields and aggregated table fields, and one or more appropriate JOIN clauses joining one or more target tables from which the table fields are to be looked up with the grouped derivative table. In one embodiment, the looked-up table fields are expressed in a multi-part form. In accordance with a second aspect, a software component is equipped to automatically expand table fields available for inclusion in a data processing operation to include table fields of a target table of a look-up table field, and selection of aggregation function.

Abstract: In accordance with a first aspect, a software component is equipped to identify looked-up table fields in a data processing statement, and automatically includes with a SQL statement one or more appropriate JOIN clauses joining one or more target tables from which the table fields are to be looked up with a basis table. In one embodiment, the looked-up table fields are expressed in a multi-part form. In accordance with a second aspect, a software component is equipped to automatically expand table fields available for inclusion in a data processing operation to include table fields of a target table of a look-up table field, in response to the selection of the look-up table field. In one embodiment, the second aspect is practiced in conjunction with the automatic inclusion of appropriate JOIN clauses to a SQL statement of the first aspect.

Abstract: In accordance with a first aspect, a software component is equipped to identify looked-up table fields in a data processing statement, and automatically includes with a SQL statement one or more appropriate JOIN clauses joining one or more target tables from which the table fields are to be looked up with a basis table. In one embodiment, the looked-up table fields are expressed in a multi-part form. In accordance with a second aspect, a software component is equipped to automatically expand table fields available for inclusion in a data processing operation to include table fields of a target table of a look-up table field, in response to the selection of the look-up table field. In one embodiment, the second aspect is practiced in conjunction with the automatic inclusion of appropriate JOIN clauses to a SQL statement of the first aspect.

Abstract: In accordance with a first aspect, a software component is equipped to identify looked-up table fields in a data processing statement, and automatically includes with a SQL statement one or more appropriate JOIN clauses joining one or more target tables from which the table fields are to be looked up with a basis table. In one embodiment, the looked-up table fields are expressed in a multi-part form. In accordance with a second aspect, a software component is equipped to automatically expand table fields available for inclusion in a data processing operation to include table fields of a target table of a look-up table field, in response to the selection of the look-up table field. In one embodiment, the second aspect is practiced in conjunction with the automatic inclusion of appropriate JOIN clauses to a SQL statement of the first aspect.

Abstract: In accordance with a first aspect, a software component is equipped to identify non-looked-up table fields and looked-up table fields to be grouped, and table fields having aggregate functions to be performed in their row values in a data processing statement, and automatic inclusion with a SQL statement a subquery to generate a grouped derivative table comprising grouped non-looked-up table fields and aggregated table fields, and one or more appropriate JOIN clauses joining one or more target tables from which the table fields are to be looked up with the grouped derivative table. In one embodiment, the looked-up table fields are expressed in a multi-part form. In accordance with a second aspect, a software component is equipped to automatically expand table fields available for inclusion in a data processing operation to include table fields of a target table of a look-up table field, and selection of aggregation function.

Abstract: A method and system for displaying results of multiple level aggregation queries and providing hierarchical table sets in response to multiple level aggregation queries. In a preferred embodiment, a database engine program receives multiple-level aggregation queries from a database front-end program. A multiple level aggregation query defines two or more data aggregation levels. In response to a multiple-level aggregation query, the engine creates a hierarchical table set, which contains a separate table for each level of aggregation specified by the multiple-level aggregation query. Each table in the hierarchical table set contains the aggregation information for one level of the multiple-level aggregation query. In a preferred embodiment, the front-end uses the tables in the hierarchical table set to generate a hierarchical window display that the user can view.

Abstract: A method and system for supporting scrollable, updatable database queries is provided. In a preferred embodiment, a database engine receives a query request specifying the retrieval of data from a source table stored by the engine. The engine then generates a query table that contains references to rows of a source table that satisfy the query request. The engine then receives one or more retrieve requests requesting that data specified by the query be provided by the engine. For each retrieval request, the engine retrieves data from the source table using one Or more references from the query table.

Abstract: A method and system for efficiently joining database tables using compact row mapping structures is provided. In a preferred embodiment, a one-table row mapping structure is used to join two source tables while enforcing a restriction against a column of one of the source tables. Where the restricted column value satisfies the restriction, an indication is stored in the one-table mapping structure that the source table rows listed in that row of the index satisfy the restriction. When the source tables are joined by merging indices on the join columns of the two tables, only rows of the restricted source table for which an indication is stored in the one-table row mapping structure that it satisfies the restriction are merged. In a further embodiment, an arbitrary number of source tables are joined using a series of two-table row mapping structures, each constructed to represent the joining of two adjacent tables by mapping from rows of one of the adjacent table to rows of the other adjacent table.