17973440. FINE-GRAINED DECISION ON PROPAGATION OF REVALIDATION simplified abstract (SAP SE)
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FINE-GRAINED DECISION ON PROPAGATION OF REVALIDATION
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Inventor(s)
FINE-GRAINED DECISION ON PROPAGATION OF REVALIDATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17973440 titled 'FINE-GRAINED DECISION ON PROPAGATION OF REVALIDATION
- Simplified Explanation:**
The patent application describes systems and methods for selectively revalidating data objects in a database system based on changes to object properties.
- Key Features and Innovation:**
- Updating target data objects according to a definition statement
- Determining changes to object properties
- Revalidating data objects based on changes
- Improving database management performance and speed
- Potential Applications:**
This technology could be applied in various industries such as finance, healthcare, e-commerce, and more where databases are used to store and manage large amounts of data.
- Problems Solved:**
This technology addresses the need for efficient and selective revalidation of data objects in a database system to improve performance while ensuring data validity.
- Benefits:**
- Improved database management performance
- Faster data revalidation process
- Maintaining data object validity
- Enhanced overall system efficiency
- Commercial Applications:**
Potential commercial applications include database management software, data analytics platforms, and enterprise resource planning systems.
- Prior Art:**
Prior art related to this technology may include research papers, patents, and industry publications on database management, data validation, and performance optimization.
- Frequently Updated Research:**
Researchers may be exploring ways to further enhance the efficiency and effectiveness of selective revalidation processes in database systems.
- Questions about Selective Revalidation of Data Objects:**
1. How does selective revalidation of data objects impact overall database performance? 2. What are the potential challenges in implementing selective revalidation processes in large-scale database systems?
Original Abstract Submitted
Various systems and methods for selective revalidation of data objects are provided. In one example, a computer-implemented method includes updating a target data object of a database system according to a definition statement, and determining whether the definition statement changes one or more object properties of the target data object. In response to determining that the definition statement changes the one or more object properties of the target data object, the method includes revalidating data objects depending on the target data object. In response to determining that the definition statement does not change the one or more object properties of the target data object, the method includes not revalidating the data objects depending on the target data object. In this way, database management performance and speed may be improved while maintaining validity of data objects in a database.
