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06-30-2025 07:30 PM
Hi,
I'm trying to extract usage cost per user (run_by) for workloads that utilize all-purpose clusters and SQL warehouses. I’ve been exploring the system.billing.usage table but noticed some challenges:
1. For records related to all-purpose clusters and SQL warehouses, the identity_metadata column often has null values for the run_as key.
2. The usage_metadata column also lacks identifying information like job_id, job_run_id, notebook_id, or job_name, making it hard to determine how the compute was used.
While joining system.billing.usage with system.access.audit on cluster_id and event_date helps retrieve some additional context, there are still many rows with no user info (run_by and run_as are both null).
Given that both all-purpose clusters and SQL warehouses can be used by multiple users (including ad hoc usage), I’m trying to determine:
Is there a reliable way to distinguish whether a usage entry was triggered via a job or individual user activity?
More importantly, is there any way to consistently populate run_by or run_as for all-purpose cluster and SQL warehouse entries, so we can compute cost per user accurately?
Any insights, best practices, or workarounds would be appreciated.
Thanks in advance.