4553. Optimizer Engineering: statistics deployment — Prove correctness with targeted queries and assertions. — HRMS — Python + FastAPI + mysql-connector

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

Scenario: A HRMS application must handle statistics deployment. Prove correctness with targeted queries and assertions. 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: Use unparameterized dynamic SQL and rely only on application-side validation for

Use unparameterized dynamic SQL and rely only on application-side validation for statistics deployment.

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 statist

Disable database protections and repair inconsistent rows manually after statistics deployment runs.

Additional Explanation

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

Verified

Option 3: Run statistics deployment without defining transaction boundaries, retry behavio

Run statistics deployment 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 statistics dep

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

Additional Explanation

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