Snowflake inc. (20240232213). FUTURE SCHEDULER FOR DATABASE SYSTEMS simplified abstract
Contents
FUTURE SCHEDULER FOR DATABASE SYSTEMS
Organization Name
Inventor(s)
Marco H. Kroll Et Al. of Berlin (DE)
Mariusz Kwiczala of Berlin (DE)
Prayag Chandran Nirmala of Seattle WA (US)
William Waddington of Stateline NV (US)
FUTURE SCHEDULER FOR DATABASE SYSTEMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232213 titled 'FUTURE SCHEDULER FOR DATABASE SYSTEMS
The abstract of the patent application describes a technology that receives a query with a set of query statements. The technology determines the resources to be used for executing the query from a slot provided by a virtual warehouse. It then schedules the execution of the query using the slot and executes the query using an available slot from the virtual warehouse.
- The technology efficiently allocates resources for query execution using a virtual warehouse.
- It schedules the execution of queries to optimize resource utilization.
- The technology seamlessly executes queries using available slots from the virtual warehouse.
Potential Applications: - Cloud computing platforms - Data processing systems - Resource management tools
Problems Solved: - Efficient resource allocation for query execution - Optimized scheduling of query execution - Seamless execution of queries using available resources
Benefits: - Improved performance of query execution - Cost-effective resource utilization - Enhanced scalability of data processing systems
Commercial Applications: Optimizing resource allocation and scheduling in cloud computing platforms can lead to cost savings and improved performance, making the technology attractive for businesses looking to enhance their data processing capabilities.
Questions about the technology: 1. How does the technology ensure efficient resource allocation for query execution? 2. What are the key advantages of using a virtual warehouse for scheduling query execution?
Frequently Updated Research: Stay updated on advancements in cloud computing resource management and data processing optimization to enhance the efficiency of the technology.
Original Abstract Submitted
the subject technology receives a query, the query comprising a set of query statements. the subject technology determines that a set of resources to be utilized by the query during execution is provided by a slot, the slot comprising an allocation of resources provided by a virtual warehouse. the subject technology performs a first scheduling process for execution of the query using the slot. the subject technology determines that an available slot is provided by the virtual warehouse. the subject technology executes, using the virtual warehouse, the query using the available slot.
