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.
Have more questions on BigQuery?
Check out our event, Create Valuable Business Insights with BigQuery on May 26th with Customer Engineer Dylan Zuniga.
Sign up here: