In this blog, the Google Cloud team will equip you with an easy way to analyze and decipher the key BigQuery metrics using the Information Schema.
The blog covers a couple of use cases:
Analyze BigQuery Slot Consumption and Concurrency for a Point in Time
Analyze Query Throughput and % Busy for a Time Period
One important highlight is to note the difference between “Concurrent Query Count” and “Query Throughput Count”.
“Concurrent Query Count” represents the actual number of queries running at a specific point in time.
“Query Count” which is often used to describe the number of queries running over some interval of time.
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