DBA Result Cache Statistics

DBA Result Cache Statistics

Description:

Result cache statistics with size values in MB.

If the 'Maximum Size' is big enough, 'Create Count Failure' should be zero or low, same as 'Delete Count Valid', which depicts the number of valid cache results flushed out. 'Find Count' shows the number of cached results used (instead of executing the underlying sql/plsql) and should hence be as high as possible for maximum performance improvement.

A high number of 'Invalidation Count' or 'Delete Count Invalid' relative to 'Find Count' should get investigated further as it indicates a result_cache specified for code where the underlying data changes too frequently.

alter system set result_cache_max_size=600M scope=both

Parameters

Used tables

gv$result_cache_statistics

Categories

Enginatics

Related reports

DBA SGA+PGA Memory Configuration

Dependencies

If you would like to try one of these Oracle EBS SQLs without having Blitz Report installed, note that some of the reports require functions from utility package xxen_util.

Example Report

DBA Result Cache Statistics 18-Jan-2018 225229.xlsx

Report SQL

www.enginatics.com/reports/dba-result-cache-statistics/

Blitz Report™ import options

DBA_Result_Cache_Statistics.xml

Case Study & Technical Analysis

Abstract

The DBA Result Cache Statistics report offers a high-level overview of the health and efficiency of the Oracle Server Result Cache. Unlike the object-level detail report, this analysis focuses on global statistics such as total memory usage, hit/miss ratios, and invalidation counts. It is the primary tool for sizing the result cache and determining if the feature is providing a net benefit to the database workload.

Technical Analysis

Key Metrics

• Create Count Failure: Indicates if the cache is too small to accommodate new results. A non-zero value suggests RESULT_CACHE_MAX_SIZE may need to be increased.
• Find Count: Represents cache hits. A high value indicates the cache is effectively serving data from memory, bypassing SQL execution.
• Invalidation Count: The number of times cached results were purged due to data changes. High invalidation rates relative to find counts suggest that the result cache is being used on volatile data, which is an anti-pattern.
• Delete Count Valid: Results flushed due to LRU (Least Recently Used) pressure, further indicating potential sizing issues.

Configuration Context

The report helps validate the setting of the initialization parameter:

alter system set result_cache_max_size=600M scope=both;

If the allocated memory is consistently full and valid results are being evicted, increasing this parameter may yield performance gains.

Key View

• GV$RESULT_CACHE_STATISTICS: Provides the global counters for the result cache subsystem across all RAC instances.

Operational Use Cases

• Capacity Planning: determining the optimal memory allocation for the result cache.
• Efficiency Monitoring: Calculating the "Hit Ratio" of the result cache.
• Workload Characterization: Understanding if the workload is read-mostly (good for caching) or write-intensive (bad for caching).

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