In the Snowflake query profiler, what does the Processing statistic represent?

• A. The time spent on data processing by the CPU.
• B. The time when the processing was waiting for network data transfer.
• C. The time when the processing was blocked by local disk access.
• D. The time spent on queueing during processing.

Answer: (A)

Processing measures the time the compute engine spends actively processing data—the CPU time consumed by the query operators during execution. It reflects how much work the CPU is doing to perform scans, joins, filters, aggregates, and other operations. This is different from time spent waiting for data to transfer (network or I/O waits) or time spent waiting in a queue for resources. So when you see a high Processing value, it indicates the query is CPU-bound and the workload is demanding compute cycles. If you see low processing but high waits or queue times, the bottleneck is not the CPU but data transfer or resource contention.