4282. Binlog & CDC: CDC backpressure control — Implement the workflow with safe SQL and application handling. — School ERP — Python + FastAPI + SQLAlchemy

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

Scenario: A School ERP application must handle CDC backpressure control. Implement the workflow with safe SQL and application handling. 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

Verified

Option 1: Disable database protections and repair inconsistent rows manually after CDC bac

Disable database protections and repair inconsistent rows manually after CDC backpressure control runs.

Additional Explanation

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

Verified

Option 2: Run CDC backpressure control without defining transaction boundaries, retry beha

Run CDC backpressure control 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 3: Use a parameterized, transaction-aware MySQL 8 implementation for CDC backpressu

Use a parameterized, transaction-aware MySQL 8 implementation for CDC backpressure control, validate the invariant, and explicitly test concurrency, retries and recovery.

Additional Explanation

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

Verified

Option 4: Use unparameterized dynamic SQL and rely only on application-side validation for

Use unparameterized dynamic SQL and rely only on application-side validation for CDC backpressure control.

Additional Explanation

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