View source for 17966749. PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS simplified abstract (Oracle International Corporation)

=PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS=


==Organization Name==

[[:Category:Oracle International Corporation|Oracle International Corporation]]


[[Category:Oracle International Corporation]]

==Inventor(s)==

[[:Category:Dennis Lui of San Jose CA (US)|Dennis Lui of San Jose CA (US)]][[Category:Dennis Lui of San Jose CA (US)]]

[[:Category:Allison L. Holloway of San Carlos CA (US)|Allison L. Holloway of San Carlos CA (US)]][[Category:Allison L. Holloway of San Carlos CA (US)]]

[[:Category:Shasank Kisan Chavan of Menlo Park CA (US)|Shasank Kisan Chavan of Menlo Park CA (US)]][[Category: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 17966749 titled 'PROCESSING TOP-K QUERIES ON DATA IN RELATIONAL DATABASE SYSTEMS

==Simplified Explanation==

The patent application describes techniques for processing top-K queries in a database system. Here is a simplified explanation of the abstract:

* A database statement is received requesting top-K results related to a database object, with two specified columns for partitioning and ordering the result set.
* A buffer is generated to store key values and update slots for each row in the database object.
* Key values associated with the specified columns are identified and used to update the buffer.
* A response to the database statement is generated based on the buffer.

== Potential Applications ==
The technology described in the patent application could be applied in various fields such as data analytics, e-commerce platforms, and search engines to efficiently retrieve and process top-K query results.

== Problems Solved ==
This technology addresses the challenge of efficiently processing top-K queries in large databases by optimizing the partitioning and ordering of the result set, leading to faster and more accurate query responses.

== Benefits ==
The benefits of this technology include improved query performance, reduced processing time, and enhanced scalability for handling large volumes of data in database systems.

== Potential Commercial Applications ==
The potential commercial applications of this technology include database management systems, data warehousing solutions, and online recommendation systems, where efficient processing of top-K queries is essential for providing relevant and timely information to users.

== Possible Prior Art ==
One possible prior art in this field is the use of indexing techniques and query optimization algorithms in database systems to improve query performance and retrieval efficiency. 

=== 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 existing methods or technologies for processing top-K queries. It would be helpful to understand the specific advantages and limitations of this new approach in comparison to traditional methods.

=== What are the potential limitations or constraints of implementing this technology in real-world database systems? ===
The article does not address the potential challenges or constraints that may arise when implementing this technology in practical database environments. It would be important to consider factors such as compatibility, scalability, and resource requirements for deploying this solution effectively.


==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.



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