A Lakeflow Job runs on an autoscaling job cluster configured with minimum 2 workers and maximum 8. At the start of a large backfill, thousands of tasks are queued, but the cluster runs with only 2 workers for several minutes before more nodes join. The engineer expected 8 workers immediately. What explains the behavior?
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Correct answer: Autoscaling adds nodes gradually as task queues and utilization justify them; the minimum is only a guaranteed baseline
Reference: https://docs.databricks.com/aws/en/compute/configure
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Official Answer (B): Autoscaling adds nodes gradually as task queues and utilization justify them; the minimum is only a guaranteed baseline
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