Oracle international corporation (20240126760). PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS simplified abstract

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PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS

Organization Name

oracle international corporation

Inventor(s)

Dennis Lui of San Jose CA (US)

Allison L. Holloway of San Carlos CA (US)

Shasank Kisan Chavan of Menlo Park CA (US)

PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240126760 titled 'PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS

Simplified Explanation

The abstract of the patent application describes a technique for processing top-k queries in a database system. The technique involves generating a buffer to store results related to a database object based on specified columns for partitioning and ordering the result set.

  • Identification of key values associated with specified columns in each row of the database object.
  • Updating the buffer based on the identified key values.
  • Generating a response to the database statement using the buffer.

Potential Applications

This technology can be applied in various fields such as data analytics, business intelligence, and information retrieval systems.

Problems Solved

1. Efficient processing of top-k queries in a database system. 2. Improved performance in retrieving and organizing results based on specified columns.

Benefits

1. Faster retrieval of top-k results. 2. Enhanced scalability for handling large datasets. 3. Improved query performance and response times.

Potential Commercial Applications

Optimizing search engines, e-commerce platforms, and recommendation systems for better user experience and performance.

Possible Prior Art

One possible prior art for this technology could be the use of indexing and caching techniques in database systems to improve query performance and result retrieval.

Unanswered Questions

How does this technology compare to existing methods for processing top-k queries in databases?

This article does not provide a direct comparison with other techniques or technologies currently used for processing top-k queries. It would be helpful to understand the specific advantages and limitations of this approach compared to traditional methods.

What are the potential challenges or limitations of implementing this technology in real-world database systems?

The article does not address the practical considerations or obstacles that may arise when implementing this technique in production environments. It would be valuable to explore the potential challenges, such as integration with existing systems, scalability issues, and maintenance requirements.


Original Abstract Submitted

techniques for processing top-k queries are provided. in one technique, a database statement is received that requests top-k results related to a database object and that indicates two columns thereof: a first column by which to partition a result set and a second column by which to order the result set. a buffer is generated. for each of multiple rows in the database object: a first key value that associated with a first value in the first column of said each row is identified; a second key value that associated with a second value in the second column of said each entry is identified; a slot in the buffer is identified based on the first key value and the second key value; and the slot in the buffer may be updated based on the second key value. a response to the database statement is generated based on the buffer.