Oracle international corporation (20240126757). OUTER SEMI JOIN FOR DISJUNCTIVE SUBQUERY UNNESTING simplified abstract
Contents
- 1 OUTER SEMI JOIN FOR DISJUNCTIVE SUBQUERY UNNESTING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OUTER SEMI JOIN FOR DISJUNCTIVE SUBQUERY UNNESTING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
OUTER SEMI JOIN FOR DISJUNCTIVE SUBQUERY UNNESTING
Organization Name
oracle international corporation
Inventor(s)
Angela Amor of Menlo Park CA (US)
Mohamed Ziauddin of Pleasanton CA (US)
OUTER SEMI JOIN FOR DISJUNCTIVE SUBQUERY UNNESTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240126757 titled 'OUTER SEMI JOIN FOR DISJUNCTIVE SUBQUERY UNNESTING
Simplified Explanation
The abstract describes a new type of table join operation called outer semi join (osj) in a database management system. The osj operation combines the semantics of left outer-join and semi-join, introducing the concept of an anti-join marker (ajm) to specify when a matching row was not found between joined tables. It also supports unnesting of disjunctive subqueries for execution plan optimization, avoiding the need for a distinct operator on the right table and allowing the use of inequality in connecting conditions.
- Outer semi join (osj) operation combines left outer-join and semi-join semantics.
- Introduces anti-join marker (ajm) to specify when a matching row was not found.
- Supports unnesting of disjunctive subqueries for execution plan optimization.
- Avoids the need for a distinct operator on the right table.
- Allows the use of inequality in connecting conditions of subqueries.
Potential Applications
The technology can be applied in database management systems for optimizing query execution and improving performance.
Problems Solved
1. Optimizing execution plans in database management systems. 2. Enhancing performance by avoiding unnecessary operators and restrictions in subquery conditions.
Benefits
1. Improved query performance. 2. Enhanced optimization of execution plans. 3. Increased efficiency in handling complex queries.
Potential Commercial Applications
Optimizing database operations in various industries such as finance, healthcare, and e-commerce.
Possible Prior Art
There may be prior art related to optimizing table join operations in database management systems, but specific examples are not provided in the abstract.
Unanswered Questions
How does the osj operation compare to traditional join operations in terms of performance and efficiency?
The abstract does not provide a direct comparison between osj and traditional join operations in terms of performance and efficiency. Further research or experimentation may be needed to evaluate the effectiveness of osj in different scenarios.
Are there any limitations or constraints in implementing the osj operation in existing database management systems?
The abstract does not mention any limitations or constraints in implementing the osj operation in existing database management systems. It would be important to explore any potential challenges or compatibility issues that may arise during the integration of osj into different systems.
Original Abstract Submitted
a new type of table join operation, outer semi join (osj), is provided, which can be used by an optimizer layer and an execution layer of a database management system (dbms). osj combines the semantics of both left outer-join and semi-join. the concept of an anti-join marker (ajm) is also introduced, which specifies whether a matching row was not found between joined tables for each result row in an osj operation. the osj operation supports unnesting of a class of disjunctive any, all, exists, not exists, in, and not in subqueries for execution plan optimization. the disjunction may contain filter predicates. for unnesting, osj avoids the need of using a distinct operator on the right table and also supports using inequality (e.g. >, >=, <, <=) in connecting or correlating conditions of subqueries, rather than being limited to equality only.
