US 2023/0401228 A1 · TECHNIQUES FOR AUTOMATICALLY IDENTIFYING AND FIXING ONE WAY CORRECTNESS ISSUES BETWEEN TWO LARGE COMPUTING SYSTEMS

Abstract

A data processing system implements identifying one-way correctness issues in datasets of large computing systems including a first computing system and a second computing system. The second computing system is associated with a dependent dataset that includes references to data in a second datastore associated with the first computing system. These references updated in response to changes to the data referred to by these references. However, errors can cause the two datasets to become out of sync. The system herein implements automatically identifying unattached items in a dependent dataset that references items in a reference dataset that is no longer present in the reference dataset by comparing the dependent dataset with the reference dataset, and automatically causing the second computing system to delete the unattached items from the dependent dataset.

Claims20

Dependent claims

A data processing system comprising:

a processor;
and
a machine-readable medium storing executable instructions that, when executed, cause the processor to perform operations comprising:
automatically identifying unattached items in a dependent dataset that references items in a reference dataset by comparing the dependent dataset with the reference dataset, the unattached items referencing data that is no longer present in the reference dataset, the reference dataset being associated with a first computing system and the dependent dataset being associated with a second computing system;
and
automatically causing the first computing system to delete the unattached items from the dependent dataset.

3 more elements

A machine-readable medium on which are stored instructions that, when executed, cause a processor of a programmable device to perform operations of:

automatically identifying unattached items in a dependent dataset that references items in a reference dataset by comparing the dependent dataset with the reference dataset, the unattached items referencing data that is no longer present in the reference dataset, the reference dataset being associated with a first computing system and the dependent dataset being associated with a second computing system;
and
automatically causing the first computing system to delete the unattached items from the dependent dataset.

Dependencies are inferred from the claim text.

Techniques for automatically identifying and fixing one way correctness issues between two large computing systems

Life of this patent

Techniques for automatically identifying and fixing one way correctness issues between two large computing systems

Life of this patent

Abstract

Claims20