Invention Publication
- Patent Title: OPTIMIZE WORKLOAD PERFORMANCE BY AUTOMATICALLY DISCOVERING AND IMPLEMENTING IN-MEMORY PERFORMANCE FEATURES
-
Application No.: US18374852Application Date: 2023-09-29
-
Publication No.: US20240111772A1Publication Date: 2024-04-04
- Inventor: Nirav Vyas , Hariharan Lakshmanan , Shasank Kisan Chavan , Gary Smith
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Main IPC: G06F16/2455
- IPC: G06F16/2455 ; G06F11/34

Abstract:
Techniques are provided for optimizing workload performance by automatically discovering and implementing performance optimizations for in-memory units (IMUs). A system maintains a set of IMUs for processing database operations in a database. The system obtains a database workload information for the database system and filters the database workload information to identify database operations in the database workload information that may benefit from performance optimizations. The system analyzes the database operations to identify a set of performance optimizations and ranks the performance optimizations based on their potential benefit. The system selects a subset of the performance optimizations, based on their ranking, and generates new versions of IMUs that reflect the performance optimizations. The system performs verification tests on the new versions of IMUs and analyzes the tests to determine whether the new versions of IMUs yield expected performance benefits. The system then categorizes the new set of IMUs into a first set of IMUs to be retained and a second set of IMUs to be discarded. The system then makes the first set of IMUs available to the current workload and discards the second set of IMUs.
Public/Granted literature
- US12229160B2 Optimize workload performance by automatically discovering and implementing in-memory performance features Public/Granted day:2025-02-18
Information query