Snowflake inc. (20240232173). DISTRIBUTED EXECUTION OF TRANSACTIONAL QUERIES simplified abstract
Contents
DISTRIBUTED EXECUTION OF TRANSACTIONAL QUERIES
Organization Name
Inventor(s)
Thierry Cruanes of San Mateo CA (US)
Lishi Jiang of Bellevue WA (US)
Alexander Miller of San Mateo CA (US)
DISTRIBUTED EXECUTION OF TRANSACTIONAL QUERIES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240232173 titled 'DISTRIBUTED EXECUTION OF TRANSACTIONAL QUERIES
The subject technology involves the execution of a transaction on linearizable storage, starting at a specific node. It determines if this node is a leader worker and initiates the transaction accordingly. The technology then shares a timestamp with other nodes and carries out operations from the transaction.
- Technology executes transactions on linearizable storage
- Determines leader worker node for transaction execution
- Shares read timestamp with other nodes
- Performs operations from the transaction
- Enhances distributed transaction processing efficiency
Potential Applications: - Distributed databases - Cloud computing platforms - Financial systems - E-commerce platforms
Problems Solved: - Ensures transaction consistency in distributed systems - Improves scalability of transaction processing - Enhances fault tolerance in distributed environments
Benefits: - Increased reliability of distributed transactions - Improved performance of transaction processing - Enhanced fault tolerance and resilience in distributed systems
Commercial Applications: Title: "Enhanced Distributed Transaction Processing Technology" This technology can be utilized in various industries such as finance, e-commerce, and cloud computing to improve the efficiency and reliability of distributed transaction processing. It can help companies handle large volumes of transactions securely and efficiently, leading to better customer experiences and operational effectiveness.
Questions about Enhanced Distributed Transaction Processing Technology: 1. How does this technology improve fault tolerance in distributed systems? 2. What are the key benefits of using this technology in cloud computing platforms?
Frequently Updated Research: Researchers are continuously exploring ways to optimize distributed transaction processing for various industries, focusing on enhancing scalability, performance, and fault tolerance. Stay updated on the latest advancements in distributed systems and transaction processing technologies to leverage the benefits of this innovative approach.
Original Abstract Submitted
the subject technology receives, at a first execution node, a first transaction, the first transaction to be executed on linearizable storage. the subject technology determines whether the first execution node corresponds to a rank indicating a leader worker. the subject technology, in response to the first execution node corresponding to the rank indicating the leader worker, performs, by the first execution node, an initialization process for executing the first transaction. the subject technology broadcasts a first read timestamp associated with the first transaction to a set of execution nodes, the set of execution nodes being different than the first execution node. the subject technology executes, by the first execution node, at least a first operation from the first transaction.
