Invention Grant
- Patent Title: Scalable query processing
-
Application No.: US16889033Application Date: 2020-06-01
-
Publication No.: US11347735B2Publication Date: 2022-05-31
- Inventor: Thierry Cruanes , Igor Demura , Varun Ganesh , Prasanna Rajaperumal , Libo Wang , Jiaqi Yan
- Applicant: Snowflake Inc.
- Applicant Address: US MT Bozeman
- Assignee: Snowflake Inc.
- Current Assignee: Snowflake Inc.
- Current Assignee Address: US MT Bozeman
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F16/2453
- IPC: G06F16/2453

Abstract:
Embodiments of the present disclosure may provide a dynamic query execution model. This query execution model may provide acceleration by scaling out parallel parts of a query (also referred to as a fragment) to additional computing resources, for example computing resources leased from a pool of computing resources. Execution of the parts of the query may be coordinated by a parent query coordinator, where the query originated, and a fragment query coordinator.
Public/Granted literature
- US20210374135A1 SCALABLE QUERY PROCESSING Public/Granted day:2021-12-02
Information query