公开(公告)号：US11537616B1

公开(公告)日：2022-12-27

申请号：US16915928

申请日：2020-06-29

Applicant: Amazon Technologies, Inc.

Inventor： Chunbin Lin ,  Naresh Chainani ,  Gaurav Saxena ,  George Constantin Caragea ,  Mohammad Rezaur Rahman

IPC: G06F7/00 ,  G06F16/2453 ,  G06N5/04 ,  G06N20/00

Abstract: Performance measures are predicted for queries to prioritize query performance at a database system. A trained machine learning model for the database system may be applied to a query to determine a predicted performance measure for the query. The predicted performance measure may be compared with other predicted performance measures for other waiting queries to determine a priority for executing the query.

公开(公告)号：US11762860B1

公开(公告)日：2023-09-19

申请号：US17118288

申请日：2020-12-10

Applicant: Amazon Technologies, Inc.

Inventor： Mohammad Rezaur Rahman ,  George Constantin Caragea ,  Raj Narayan Sett ,  Gaurav Saxena ,  Naresh Chainani ,  Chunbin Lin

IPC: G06F16/2455 ,  G06F16/2453 ,  G06N20/00 ,  G06F16/23 ,  G06F18/214 ,  G06F11/34

CPC classification number: G06F16/24568 ,  G06F11/3409 ,  G06F16/2308 ,  G06F16/24539 ,  G06F16/24542 ,  G06F18/214 ,  G06N20/00

Abstract: Database systems may dynamically management concurrency levels for performing queries. A query may be received at a database system and a memory usage for the query may be predicted. A determination may be made as to whether available memory is enough to satisfy the predicted memory usage for the query. If the available memory is enough to satisfy the predicted memory usage for the query, then an increase in a concurrency level for performing queries at the database system may be made. The query may be allowed to execute concurrently with other queries according to the increased concurrency level.