Professional Data EngineerEnsuring solution qualityMedium
A global e-commerce company uses BigQuery for its data warehouse. They experience peak loads during seasonal sales events, which can cause query performance degradation and potential service disruptions if not managed properly. The data engineering team needs to design a solution that automatically scales BigQuery resources to handle these fluctuating workloads efficiently, ensuring consistent query performance without manual intervention. Which BigQuery pricing model and feature combination should they prioritize to meet these requirements?
- AOn-demand pricing with BI Engine
- BFlat-rate pricing with baseline slots
- CFlat-rate pricing with autoscaling slots
- DOn-demand pricing with slot reservations
Show answer & explanationAnswer & explanation
Correct answer: C. Flat-rate pricing with autoscaling slots
Flat-rate pricing with autoscaling slots is the optimal choice. Flat-rate pricing provides predictable costs, while autoscaling slots dynamically adjust the number of BigQuery slots (compute capacity) based on workload demand, ensuring consistent performance during peak loads without manual intervention. This directly addresses the need for automatic scaling and predictable performance under fluctuating workloads.
Why the other options are wrong
- A. BI Engine accelerates SQL queries for dashboarding and reporting, but doesn't manage overall BigQuery compute capacity for varying workloads.
- B. Flat-rate pricing with baseline slots provides a fixed capacity, which won't automatically scale to handle peak loads, potentially leading to performance degradation.
- D. On-demand pricing charges per query, which can become unpredictable and expensive during peak loads, and slot reservations are fixed, not autoscaling.
BigQuery Autoscaling Slots
A feature of BigQuery's flat-rate pricing that automatically adjusts the number of slots (compute capacity) allocated to a project or organization based on real-time workload demand.
- Dynamically scales compute capacity up or down.
- Aims to maintain consistent query performance.
- Available with BigQuery flat-rate pricing.
Memory trick: Scale Smoothly, Save Smartly.