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The store_sos plugin was recently modified to prevent assertion failures when type mismatches occur between LDMS metrics and SOS attributes (Issue 1524). While this prevents crashes, it introduces a new issue where sets with mismatched types are not stored at all.
A proposed solution involves storing the Set digest (SHA Hash) in the SOS Schema in the database. However, this proposal needs further discussion on how to handle digest mismatches when they occur.
Current Behavior
Assertion failures are prevented when type mismatches occur
Sets with mismatched types are not stored
We Need Your Input
Schema Change Scenarios
Please describe scenarios you've encountered where schema definitions have changed in your LDMS deployments:
What caused the schema change?
What types of schema changes occur, e.g., adding new metrics, removing new metrics, changing metric type, others?
Data Usage Patterns
Please describe how you use the stored data:
How do you query or analyze the historical data?
Do you need to correlate data across different schema versions?
What are your typical data access patterns?
Operational Requirements
What behavior would be most helpful when a schema change is detected?
How important is historical data access?
What kind of visibility or notification would you need?
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Background
The
store_sos
plugin was recently modified to prevent assertion failures when type mismatches occur between LDMS metrics and SOS attributes (Issue 1524). While this prevents crashes, it introduces a new issue where sets with mismatched types are not stored at all.A proposed solution involves storing the Set digest (SHA Hash) in the SOS Schema in the database. However, this proposal needs further discussion on how to handle digest mismatches when they occur.
Current Behavior
We Need Your Input
Schema Change Scenarios
Please describe scenarios you've encountered where schema definitions have changed in your LDMS deployments:
Data Usage Patterns
Please describe how you use the stored data:
Operational Requirements
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