Tracking Database Feature Usage in Oracle
Show all the Oracle database used or installed Oracle features
Show all the Oracle database installed features for an instance
4where detected_usages > 0
Sample Oracle Output:
- To identify and display database features that have been actively used within a specified period, providing insights into feature adoption, usage patterns, and potential areas for optimization or license management.
Querying Feature Usage Data:
* `select name, detected_usages from dba_feature_usage_statistics`: Retrieves information from the `dba_feature_usage_statistics` view, which stores statistics about database feature usage.
* Selects two columns:
* `name`: Name of the database feature.
* `detected_usages`: Number of times the feature has been detected as used during the monitoring period.
Filtering for Used Features:
* `where detected_usages > 0`: Focuses the results on features that have been actively used, excluding those with zero usage counts.
Displaying Final Output:
* Presents a list of feature names and their corresponding usage counts, highlighting those that have been employed in the database environment.
- Feature Adoption Insights: Reveals which features are being utilized and to what extent, informing decisions about feature configuration, optimization, and potential license management.
- Usage Patterns: Helps understand how features are being employed, potentially identifying areas for improvement or optimization in their usage.
- Feature Enablement: Can be used to verify if expected features are actually being used, ensuring they are enabled and configured correctly.
Insights and Explanations:
- Understanding feature usage can guide optimization efforts, such as disabling unused features to conserve resources or tuning those with high usage for better performance.
- In environments with licensed features, this information can help track usage and ensure compliance with licensing terms.
Feature Testing and Evaluation:
- Can aid in assessing the impact and value of newly introduced features or those under consideration for implementation.
- Can be modified to filter for specific features or usage thresholds based on analysis needs.
- Incorporating this query into regular database monitoring and reporting can provide ongoing insights into feature usage trends and potential changes over time.