Oracle International Corporation

Henrik Michael Ammer

Prashant Singh

Rasika Vaidya Kaura

Techniques for modifying queries in a set of nested queries are disclosed. A graphical user interface displays a query detail region alongside a nested query display region. The graphical user interface includes functionality to provide for modification of queries in the nested set of queries. Based on a selection by a user, a query modification tool promotes a query attribute from a child query to one or more parent queries. Based on another selection by a user associated with one query in the set of nested queries, the system deletes an attribute from each query in the set of nested queries. Responsive to a selection to create multiple conditions for a query rule, the system modifies the functionality of the user interface to enable entry of multiple condition characteristics. Based on a further selection, the system creates the multiple conditions for the query rule.

Nested query modification tool

Techniques for generating an interactive visualization tool for building nested queries are disclosed. The interactive nested query visualization tool allows a user to observe, analyze, and modify query characteristics and attributes of a set of nested queries. A system displays an interactive visual depiction of a set of nested queries. Visual representations of the nested queries are positioned relative to each other based on the relationships between the nested queries. The system displays, simultaneously with the set of nested queries, editable fields for a selected query. The system modifies a functionality of a user interface based on which of the nested queries is selected.

Visualization tool for building nested queries

Techniques for tracing attributes through queries in a set of nested queries are disclosed. A graphical user interface displays individual sub-queries as separate visual representations. Based on detecting a selection, a system analyzes data underlying the visual representations to identify queries, among the set of nested queries, that are associated with a particular attribute. One selection results in the system analyzing the underlying data to identify an origin query for an attribute, from among the set of nested queries. Another selection results in the system analyzing the underlying data to identify queries, from among the set of nested queries, that use the attribute received from a selected query. Another selection results in the system generating SQL code for a selected subset of queries, among the set of nested queries.

Nested query analysis tool

Techniques for executing operations associated with sub-sets of queries in a set of nested queries are disclosed. A graphical user interface displays individual sub-queries as separate visual representations. Based on detecting a selection, a system executes a selected query in the set of nested queries, without executing parent queries in the set of nested queries. Based on detecting another selection, the system exports a selected query without exporting parent queries of the selected query. The system copies the metadata describing the selected query and transfers the metadata to another set of nested queries. Based on detecting another selection, the system displays a results count for a selected query. The system displays a number representing the number of results returned by the selected query, without displaying the query results.

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Auburn, WA, United States of America

Henrik Michael Ammer