Snowflake inc. (20240338366). DYNAMIC DATABASE PIPELINE SCHEDULER simplified abstract
Contents
DYNAMIC DATABASE PIPELINE SCHEDULER
Organization Name
Inventor(s)
[[:Category:Sebastian Bre� of Berlin (DE)|Sebastian Bre� of Berlin (DE)]][[Category:Sebastian Bre� of Berlin (DE)]]
DYNAMIC DATABASE PIPELINE SCHEDULER - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338366 titled 'DYNAMIC DATABASE PIPELINE SCHEDULER
Simplified Explanation: This patent application describes a database system that optimizes query execution by using an opportunistic scheduling approach. The system identifies contingent database operations within a query plan and schedules them using an opportunistic scheduler.
- The database system generates a query plan and identifies contingent database operations within it.
- Contingent operations are dependent on the completion of at least one additional operation.
- The system uses an opportunistic scheduler to schedule the contingent operations.
- The database system executes the query plan by processing the contingent database operations after the completion of the additional operation.
Key Features and Innovation:
- Optimization of query execution through opportunistic scheduling.
- Identification and scheduling of contingent database operations.
- Dependency of contingent operations on the completion of additional operations.
- Use of an opportunistic scheduler for efficient scheduling.
- Execution of query plan by processing contingent operations.
Potential Applications: The technology can be applied in various industries such as:
- Data analytics
- Business intelligence
- E-commerce platforms
- Financial services
- Healthcare systems
Problems Solved:
- Improved query execution efficiency
- Enhanced database performance
- Streamlined data processing
- Reduced latency in query processing
- Better resource utilization
Benefits:
- Faster query execution
- Increased database performance
- Optimal resource allocation
- Improved overall system efficiency
- Enhanced user experience
Commercial Applications: Title: "Optimizing Database Query Execution with Opportunistic Scheduling" This technology can be utilized in:
- Database management systems
- Cloud computing services
- Big data analytics platforms
- Online transaction processing systems
- Real-time data processing applications
Prior Art: Readers can explore prior art related to database query optimization, query scheduling algorithms, and database performance enhancement.
Frequently Updated Research: Stay updated on the latest advancements in database query optimization, query scheduling techniques, and database performance improvement.
Questions about Database Query Optimization with Opportunistic Scheduling: 1. How does the opportunistic scheduling approach improve query execution efficiency? 2. What are the key benefits of identifying and scheduling contingent database operations in a query plan?
Original Abstract Submitted
a database system configured to optimize query execution through an opportunistic scheduling approach. the database system generates a query plan and identifies a contingent database operation within the query plan, the contingent database operation being dependent on a completion of at least one additional operation. the database system schedules the contingent operation using an opportunistic scheduler. the database system executes the query plan comprising processing the contingent database operation after the completion of the at least one additional operation.
