4297. Binlog & CDC: change-stream reconciliation — Harden the workflow against privilege or data-exposure risks. — messaging — Go database/sql

DBMS Published 30 Sept 2026 Updated 30 Sept 2026 0 Views Verified

Scenario: A messaging application must handle change-stream reconciliation. Harden the workflow against privilege or data-exposure risks. 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

4 Answers

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Option 1: Use unparameterized dynamic SQL and rely only on application-side validation for

Use unparameterized dynamic SQL and rely only on application-side validation for change-stream reconciliation.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.

Verified

Option 2: Disable database protections and repair inconsistent rows manually after change-

Disable database protections and repair inconsistent rows manually after change-stream reconciliation runs.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.

Verified

Option 3: Run change-stream reconciliation without defining transaction boundaries, retry

Run change-stream reconciliation without defining transaction boundaries, retry behavior, or production validation.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.

Verified Correct Answer

Option 4: Use a parameterized, transaction-aware MySQL 8 implementation for change-stream

Use a parameterized, transaction-aware MySQL 8 implementation for change-stream reconciliation, validate the invariant, and explicitly test concurrency, retries and recovery.

Additional Explanation

Correctness depends on explicit invariants, safe SQL, transaction/concurrency handling and verification.