4590. Optimizer Engineering: statistics sampling test — Review the design for production readiness and required changes. — HRMS — Python + FastAPI + mysql-connector

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

Scenario: A HRMS application must handle statistics sampling test. Review the design for production readiness and required changes. 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 statist

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

Additional Explanation

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

Verified

Option 2: Run statistics sampling test without defining transaction boundaries, retry beha

Run statistics sampling test 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 statistics sam

Use a parameterized, transaction-aware MySQL 8 implementation for statistics sampling test, 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 statistics sampling test.

Additional Explanation

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