Usage and Billing¶
Administrators can view compute and storage consumption across all warehouses in the Admin Console at console.dev.actiandataplatform.com/admin/usage. The Usage table groups consumption by warehouses, displaying compute AU hours and storage gibibytes (GiB) per warehouse ID per day. You can export this data or view it in a dashboard format.
Spark ML consumption is reported separately from standard warehouse compute under the DWH_ML label. This separation allows administrators to distinguish Spark job costs from general warehouse costs at a glance.
Important
IMPORTANT!The AU hours displayed under DWH_ML reflect the requested resources per job, calculated as cores × memory × runtime duration, not the peak actual utilization. Because jobs are metered individually, the DWH_ML total represents the sum of all Spark job costs within the selected period. Right-sizing your executor configuration for each workload is the most effective way to manage these costs.