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DBA SGA Buffer Cache Object Usage – Oracle EBS SQL Report

Oracle E-Business Suite SQL report from the Enginatics Library powered by Blitz Report™. Oracle EBS module: Database Administration · all Database Administration reports

Overview

SGA buffer cache space usage by object names (in MB). ‘Object Percentage’ shows how much of one particular object is currently stored in the buffer cache. 100% means that the object is completely in the buffer cache.

Current SGA memory usage is also listed in views: select * from v$sga select * from v$sgainfo select * from v$sga_dynamic_components

Arup Nanda gives a good explanation on how the buffer cache works: http://arup.blogspot.ch/2014/11/cache-buffer-chains-demystified.html

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Report Parameters

Show Block Status

Oracle EBS Tables Used

gv$bh, dba_objects, dba_segments, v$parameter

Report Categories

Enginatics

DBA SGA SQL Execution Plan History, DBA Blocking Sessions, DBA SGA Blocking Session Summary, DBA AWR Blocking Session Summary, DBA AWR Active Session History, DBA SGA Active Session History, DBA ORDS Configuration Validation, DBA AWR System Metrics Summary, DBA Sessions

Running This SQL Without Blitz Report

The SQL source can be run in any SQL client. Some Oracle EBS SQL reports in this library use functions from the utility package xxen_util – install it first. Blitz Report™ adds parameters, Excel output with pivots, scheduling and security on top.

Download & Import Options

Resource Link
Excel Example Output DBA SGA Buffer Cache Object Usage 05-Apr-2020 014325.xlsx
Blitz Report™ XML Import DBA_SGA_Buffer_Cache_Object_Usage.xml
SQL Source DBA SGA Buffer Cache Object Usage.sql
Full Report on Enginatics www.enginatics.com/reports/dba-sga-buffer-cache-object-usage/

Case Study & Technical Analysis

Abstract

The DBA SGA Buffer Cache Object Usage report provides a detailed breakdown of how the Database Buffer Cache memory is being utilized. It identifies which database objects (tables, indexes, clusters) are currently resident in RAM. This insight is critical for verifying that the most frequently accessed data is being cached effectively and for identifying “cache pollution” where large, infrequently used segments are washing out critical data.

Technical Analysis

Core Metrics

Key View

Operational Use Cases


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