Oracle‘s patent involves a type restriction that modifies a data structure’s type descriptor without canceling its existing effects. The innovation allows for optional, empty, or limited value sets to be enforced independently of data type, enabling optimizations. The patent covers computer-readable media storing instructions for implementing this concept. GlobalData’s report on Oracle gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Oracle, Hybrid cloud mgmt was a key innovation area identified from patents. Oracle's grant share as of April 2024 was 70%. Grant share is based on the ratio of number of grants to total number of patents.

Type restriction for data structures based on context

Source: United States Patent and Trademark Office (USPTO). Credit: Oracle Corp

A recently granted patent (Publication Number: US11966798B2) discloses a method involving computer-readable media storing instructions for creating and accessing data structures within specific contexts. The method includes identifying commands to perform actions such as creating a data structure, determining the type of the data structure, and applying type restrictions to ensure the data structure only assumes predetermined values. The instructions further detail processes for allocating memory space, accessing data values, and generating errors based on the type restrictions. The patent covers scenarios where data structures are associated with different contexts, memory spaces, and types, providing a comprehensive framework for managing data structures efficiently.

The patent also addresses specific scenarios such as creating data structures as part of object creation, handling method parameters and return values, and managing type restrictions across different contexts. The instructions stored in the computer-readable media enable the identification of commands, determination of data structure types, and enforcement of type restrictions to maintain data integrity. By outlining processes for error generation, memory allocation, and data access, the patent offers a systematic approach to handling data structures within various programming contexts. Overall, the patent provides a detailed methodology for managing data structures effectively, ensuring compliance with type restrictions and optimizing memory usage in computing environments.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.