4279. Binlog & CDC: dead-letter change handling — Build success, failure, concurrency and scale tests. — messaging — Go database/sql
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Scenario: A messaging application must handle dead-letter change handling. Build success, failure, concurrency and scale tests. Explain the invariant, SQL strategy, transaction/locking behavior, failure handling, observability and test plan. Use MySQL 8-oriented syntax where applicable.
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Answer & Explanation
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Option 1: Run dead-letter change handling without defining transaction boundaries, retry b
Run dead-letter change handling without defining transaction boundaries, retry behavior, or production validation.
Additional Explanation
Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.
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Correct Answer
Option 2: Use a parameterized, transaction-aware MySQL 8 implementation for dead-letter ch
Use a parameterized, transaction-aware MySQL 8 implementation for dead-letter change handling, validate the invariant, and explicitly test concurrency, retries and recovery.
Additional Explanation
Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.
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Option 3: Use unparameterized dynamic SQL and rely only on application-side validation for
Use unparameterized dynamic SQL and rely only on application-side validation for dead-letter change handling.
Additional Explanation
Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.
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Option 4: Disable database protections and repair inconsistent rows manually after dead-le
Disable database protections and repair inconsistent rows manually after dead-letter change handling runs.
Additional Explanation
Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.