fix(cnpg): add exception handlers for missing CAGGs in migration (#2065) #2512
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carverauto/serviceradar!2512
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Imported from GitHub pull request.
Original GitHub pull request: #2066
Original author: @mfreeman451
Original URL: https://github.com/carverauto/serviceradar/pull/2066
Original created: 2025-12-05T07:36:05Z
Original updated: 2025-12-05T16:36:33Z
Original head: carverauto/serviceradar:update/cagg_fix
Original base: main
Original merged: 2025-12-05T16:36:27Z by @mfreeman451
User description
Wrap policy removal calls in exception handlers so the migration can handle cases where CAGGs don't exist or have corrupted metadata.
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PR Type
Bug fix
Description
Wrap policy removal calls in exception handlers for robustness
Handle missing or corrupted CAGGs gracefully during migration
Log errors as notices instead of failing migration
Prevents "cache lookup failed for function" errors
Diagram Walkthrough
File Walkthrough
00000000000018_recreate_device_metrics_caggs.up.sql
Add exception handlers for CAGG policy removalpkg/db/cnpg/migrations/00000000000018_recreate_device_metrics_caggs.up.sql
remove_continuous_aggregate_policy()calls inDO $$...END$$blocks with exception handlersremove_retention_policy()calls inDO $$...END $$blockswith exception handlers
EXCEPTION WHEN OTHERS THEN RAISE NOTICEclauses to log errorswithout failing migration
if_exists => TRUEparameters for safer executionImported GitHub PR comment.
Original author: @qodo-code-review[bot]
Original URL: https://github.com/carverauto/serviceradar/pull/2066#issuecomment-3615646586
Original created: 2025-12-05T07:36:29Z
PR Compliance Guide 🔍
Below is a summary of compliance checks for this PR:
No security concerns identified
No security vulnerabilities detected by AI analysis. Human verification advised for critical code.🎫 No ticket provided
Codebase context is not defined
Follow the guide to enable codebase context checks.
Generic: Meaningful Naming and Self-Documenting Code
Objective: Ensure all identifiers clearly express their purpose and intent, making code
self-documenting
Status: Passed
Generic: Robust Error Handling and Edge Case Management
Objective: Ensure comprehensive error handling that provides meaningful context and graceful
degradation
Status: Passed
Generic: Secure Logging Practices
Objective: To ensure logs are useful for debugging and auditing without exposing sensitive
information like PII, PHI, or cardholder data.
Status: Passed
Generic: Security-First Input Validation and Data Handling
Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent
vulnerabilities
Status: Passed
Generic: Comprehensive Audit Trails
Objective: To create a detailed and reliable record of critical system actions for security analysis
and compliance.
Status:
Limited auditing: The migration logs errors as notices but does not include user identity or structured
audit details for these critical policy-removal actions.
Referred Code
Generic: Secure Error Handling
Objective: To prevent the leakage of sensitive system information through error messages while
providing sufficient detail for internal debugging.
Status:
Notice leaks detail: Using RAISE NOTICE with SQLERRM may surface internal database error text to migration
output; verify this output is not user-facing in production environments.
Referred Code
Compliance status legend
🟢 - Fully Compliant🟡 - Partial Compliant
🔴 - Not Compliant
⚪ - Requires Further Human Verification
🏷️ - Compliance label
Imported GitHub PR comment.
Original author: @qodo-code-review[bot]
Original URL: https://github.com/carverauto/serviceradar/pull/2066#issuecomment-3615648655
Original created: 2025-12-05T07:37:18Z
PR Code Suggestions ✨
Explore these optional code suggestions:
Consolidate repetitive blocks into one
Consolidate the six repetitive
DOblocks into a single block using aFOREACHloop to iterate over the policy names. This will make the SQL script more
concise and easier to maintain.
pkg/db/cnpg/migrations/00000000000018_recreate_device_metrics_caggs.up.sql [7-47]
Suggestion importance[1-10]: 6
__
Why: The suggestion correctly identifies significant code repetition and proposes a valid, more concise, and maintainable solution using a loop, which improves code quality.