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

SQL Code

1select	name
2,	detected_usages
3from	dba_feature_usage_statistics
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.

Key Points:

  • 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:

  • Optimization:

    • Understanding feature usage can guide optimization efforts, such as disabling unused features to conserve resources or tuning those with high usage for better performance.
  • License Management:

    • 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.
  • Customization:

    • Can be modified to filter for specific features or usage thresholds based on analysis needs.
  • Regular Monitoring:

    • Incorporating this query into regular database monitoring and reporting can provide ongoing insights into feature usage trends and potential changes over time.

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