Snowflake: Warehouse Credit Usage Querys

All of the information below can be obtained from:

https://docs.snowflake.com/en/sql-reference/account-usage.html

Prerequisites:

Requires AccountAdmin role to access account_usage schema.

use database snowflake;
use schema account_usage;

Credits used by each warehouse in your account (month-to-date):

select warehouse_name,
       sum(credits_used) as total_credits_used
from warehouse_metering_history
where start_time >= date_trunc(month, current_date)
group by 1
order by 2 desc;

Credits used over time by each warehouse in your account (month-to-date):

select start_time::date as usage_date,
       warehouse_name,
       sum(credits_used) as total_credits_used
from warehouse_metering_history
where start_time >= date_trunc(month, current_date)
group by 1,2
order by 2,1;

Examples: Data Storage Usage

Billable terabytes stored in your account over time:

select date_trunc(month, usage_date) as usage_month
  , avg(storage_bytes + stage_bytes + failsafe_bytes) / power(1024, 4) as billable_tb
from storage_usage
group by 1
order by 1;

Examples: User Query Totals and Execution Times

Total jobs executed in your account (month-to-date):

select count(*) as number_of_jobs
from query_history
where start_time >= date_trunc(month, current_date);

Total jobs executed by each warehouse in your account (month-to-date):

select warehouse_name,
       count(*) as number_of_jobs
from query_history
where start_time >= date_trunc(month, current_date)
group by 1
order by 2 desc;

Average query execution time by user (month-to-date):

select user_name,
       avg(execution_time) as average_execution_time
from query_history
where start_time >= date_trunc(month, current_date)
group by 1
order by 2 desc;

Average query execution time by query type and warehouse size (month-to-date):

select query_type,
       warehouse_size,
       avg(execution_time) as average_execution_time
from query_history
where start_time >= date_trunc(month, current_date)
group by 1,2
order by 3 desc;

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