https://cloud.google.com/blog/products/data-analytics/manage-bigquery-costs-with-custom-quotas.
Here's why creating a BigQuery reservation for the project is the most suitable solution:
Project-Level Reservation:BigQuery reservations are applied at the project level. This means that the reserved slots (processing capacity) are shared across all jobs and queries running within that project. Since your CDC process is a significant contributor to your BigQuery usage, reserving slots for the entire project ensures that your CDC process always has access to the necessary resources, regardless of other activities in the project.
Predictable Cost Model:Reservations provide a fixed, predictable cost model. Instead of paying the on-demand price for each query, you pay a fixed monthly fee for the reserved slots. This eliminates the variability of costs associated with on-demand billing, making it easier to budget and forecast your BigQuery expenses.
BigQuery Monitoring:You can use BigQuery Monitoring to analyze the historical usage patterns of your CDC process and other queries within your project. This informationhelps you determine the appropriate amount of slots to reserve, ensuring that you have enough capacity to handle your workload while optimizing costs.
Why other options are not suitable:
A. Create a BigQuery reservation for the job:BigQuery does not support reservations at the individual job level. Reservations are applied at the project or assignment level.
B. Create a BigQuery reservation for the service account running the job:While you can create reservations for assignments (groups of users or service accounts), it's less efficient than a project-level reservation in this scenario. A project-level reservation covers all jobs within the project, regardless of the service account used.
C. Create a BigQuery reservation for the dataset:BigQuery does not support reservations at the dataset level.
By creating a BigQuery reservation for your project based on your utilization analysis, you can achieve a predictable cost model while ensuring that your CDC process and other queries have the necessary resources to run smoothly.
