Your organization manages several BigQuery projects. Interactive queries that refresh the executive dashboard in the prod-analytics project start at 09:00 each weekday and must finish within seconds. During the rest of the day, development and ad-hoc queries from other projects may use any spare capacity, but the dashboard must never be slowed when it runs. What is the most cost-effective way to guarantee performance for the dashboard while still letting the other projects use leftover capacity?
Purchase a 1-year commitment for 1,000 slots, place them in a dedicated reservation assigned to prod-analytics, create a second 0-slot reservation for the other projects so they can opportunistically borrow idle slots.
Run the dashboard queries with batch priority and enable query result caching so they do not compete with other workloads.
Upgrade every BigQuery project to Enterprise Plus edition and rely on automatic slot scaling to handle the 09:00 dashboard workload.
Buy Flex slots at 08:55 each morning for prod-analytics and delete them after the dashboard finishes; keep all projects on on-demand pricing for the rest of the day.
A one-year slot commitment provides the lowest unit cost when the same capacity is required every workday. Create a reservation that holds the 1,000 committed slots and assign only the prod-analytics project to it. Then create a second reservation that owns 0 slots and assign the other projects to that reservation. BigQuery automatically lets the 0-slot reservation borrow any idle slots from the 1,000-slot reservation, but when the dashboard starts, the full 1,000 slots are immediately reclaimed for prod-analytics, ensuring its performance target. Flex slots are more expensive per hour and would require daily provisioning, while upgrading editions or lowering query priority would not reserve capacity and therefore cannot guarantee the required latency.
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