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BigQuery makes use of a distributed parallel architecture to run queries. This charge applies even when the job that causes BigQuery to scale up fails. In the following example, slots casino scale from a specified baseline amount. If there is no such thing as a new peak throughout this scale-down window, your workload begins to scale down at the tip of the 60 seconds. However, if 60 seconds or extra have passed because the final capacity increase and there may be much less demand, the system reduces the capability without resetting the scale-down window, enabling consecutive decreases without an imposed delay.
Data is passed between phases through the use of a distributed shuffle architecture, which is mentioned in more element in this Google Cloud blog post.
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