Snowflake inc. (20240256540). INTERLEAVED EXECUTION INFRASTRUCTURE IN DATABASE ENGINES simplified abstract

INTERLEAVED EXECUTION INFRASTRUCTURE IN DATABASE ENGINES

Organization Name

snowflake inc.

Inventor(s)

Thierry Cruanes of San Mateo CA (US)

Benoit Dageville of San Mateo CA (US)

Igor Demura of Mountain View CA (US)

Brian Charles Forney of Mountain View CA (US)

Weili Gu of Sunnyvale CA (US)

Yujie Li of Santa Clara CA (US)

Mohammad Saber Mirzaei of Seattle WA (US)

Jaeyun Noh of Sunnyvale CA (US)

Jiaqi Yan of Menlo Park CA (US)

INTERLEAVED EXECUTION INFRASTRUCTURE IN DATABASE ENGINES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240256540 titled 'INTERLEAVED EXECUTION INFRASTRUCTURE IN DATABASE ENGINES

The abstract of this patent application describes an interleaved infrastructure that allows for the interleaving of fragment execution during query compilation. This means that compilation can be paused, and a plan fragment can be executed. The results of this fragment can then be fed back into the compiler to modify the compilation based on the execution results. This workflow provides a flexible and robust infrastructure that can enhance various database features and query optimizations.

• Key Features and Innovation:

 - Interleaved infrastructure for fragment execution during query compilation.
 - Pausing compilation to execute plan fragments.
 - Feedback loop between fragment execution and compiler modification.
 - Flexible and robust infrastructure for database features and query optimizations.

• Potential Applications:

 - Database management systems.
 - Query optimization tools.
 - Data analytics platforms.

• Problems Solved:

 - Enhancing database performance.
 - Improving query optimization processes.
 - Increasing flexibility in query compilation.

• Benefits:

 - Improved database efficiency.
 - Enhanced query performance.
 - Flexibility in modifying query compilation.

• Commercial Applications:

 - Database software companies.
 - Data analytics firms.
 - Cloud computing providers.

• Prior Art:

 - Prior research on query compilation and optimization techniques.
 - Existing database management systems with similar features.

• Frequently Updated Research:

 - Ongoing developments in query compilation and optimization.
 - Latest trends in database management systems.

Questions about Interleaved Infrastructure: 1. How does interleaved infrastructure improve query compilation processes? 2. What are the potential drawbacks of using interleaved infrastructure in database management systems?

1. A relevant generic question not answered by the article, with a detailed answer: How does interleaved infrastructure compare to traditional query compilation methods in terms of performance and efficiency? Interleaved infrastructure offers the advantage of pausing compilation to execute plan fragments, allowing for real-time feedback and modification. This can lead to improved query performance and optimization compared to traditional methods that do not have this interleaved approach.

2. Another relevant generic question, with a detailed answer: What are the key considerations for implementing interleaved infrastructure in database management systems? Implementing interleaved infrastructure requires careful planning and coordination between the compiler and fragment execution processes. It is essential to ensure seamless integration and efficient communication to maximize the benefits of this approach in enhancing database features and query optimizations.

Original Abstract Submitted

interleaved infrastructure can interleave fragment execution during query compilation. for example, compilation can be paused, and a plan fragment is executed. the results of the plan fragment can be fed back into the compiler, which can then restart the compilation and modify the compilation based on the results of the plan fragment execution. the interleaved workflow provides a flexible, robust infrastructure, which can enable and improve a variety of database features and query optimizations.