DBA SGA Target Advice – Oracle EBS SQL Report
Oracle E-Business Suite SQL report from the Enginatics Library powered by Blitz Report™.
Overview
Orace’s SGA target advice view. It shows an estimation of how an SGA resize would affect overall database time and IO.
Report Parameters
Oracle EBS Tables Used
Report Categories
Related Reports
DBA SGA+PGA Memory Configuration, DBA SGA Memory Allocation, DBA SGA SQL Performance Summary, FND Concurrent Requests 11i, DBA Session Longops, FND Concurrent Requests
Running This SQL Without Blitz Report
Some Oracle EBS SQL reports in this library require functions from the utility package xxen_util. Install it before running the SQL directly against your Oracle EBS database.
Download & Import Options
| Resource | Link |
|---|---|
| Excel Example Output | DBA SGA Target Advice 20-Nov-2018 144219.xlsx |
| Blitz Report™ XML Import | DBA_SGA_Target_Advice.xml |
| Full SQL on Enginatics | www.enginatics.com/reports/dba-sga-target-advice/ |
Case Study & Technical Analysis
Abstract
The DBA SGA Target Advice report exposes the internal simulations performed by the Oracle Memory Manager (MMAN). It predicts the impact of resizing the System Global Area (SGA) on the database’s physical I/O workload. This “what-if” analysis is vital for capacity planning and justifying hardware upgrades.
Technical Analysis
Core Metrics
- SGA_SIZE: The hypothetical size of the SGA.
- SGA_SIZE_FACTOR: The ratio of the hypothetical size to the current size (e.g., 0.5, 1.0, 2.0).
- ESTD_DB_TIME: Estimated reduction or increase in database time (DB Time).
- ESTD_PHYSICAL_READS: The predicted number of physical reads.
Interpretation
- Diminishing Returns: The report typically shows a curve where adding memory drastically reduces I/O up to a point (the “knee” of the curve), after which adding more memory yields negligible benefits.
- Undersized SGA: If the factor 2.0 shows a 50% reduction in physical reads, the SGA is likely significantly undersized.
Key View
GV$SGA_TARGET_ADVICE: The advisory view populated by the database’s internal statistics collection.
Operational Use Cases
- Hardware Sizing: Deciding if a server RAM upgrade will improve database performance.
- Virtualization: Determining if memory can be reclaimed from a VM without impacting the database (if the curve is flat).
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