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66 changes: 44 additions & 22 deletions sql/metrics/actions-summary.sql
Original file line number Diff line number Diff line change
@@ -1,28 +1,50 @@
/*
* This query generates a monthly summary of runtime hours, seconds waiting
* in queue before dispatch, and job count for GitHub Actions usage.
* GitHub Actions Monthly Summary Report
* -------------------------------------
* This query generates a summary of GitHub Actions usage, grouped by month and year.
* It includes:
* - Total compute hours (from job start to completion)
* - Average queue time in seconds (from queued to start)
* - Total number of jobs completed
*
* Assumptions:
* - Timestamps are in UTC and stored in columns: completed_at, started_at, queued_at, and created_at.
* - Jobs may not have a started_at timestamp, in which case queued_at or created_at is used as fallback.
*/

SELECT
month(j.completed_at) as month,
year(j.completed_at) as year,
round(
sum(
unix_timestamp(j.completed_at) - unix_timestamp(
coalesce(j.started_at, j.queued_at, j.created_at)
)
) / 3600
) as compute_hours,
round(
avg(
unix_timestamp(j.started_at) - unix_timestamp(j.queued_at)
)
) as seconds_queued,
count(j.completed_at) as job_count
-- Extract the month of job completion
MONTH(j.completed_at) AS month,

-- Extract the year of job completion
YEAR(j.completed_at) AS year,

-- Calculate total compute hours by summing the duration of each job
ROUND(
SUM(
UNIX_TIMESTAMP(j.completed_at) - UNIX_TIMESTAMP(
COALESCE(j.started_at, j.queued_at, j.created_at)
)
) / 3600
) AS compute_hours,

-- Calculate average time (in seconds) that jobs spent in queue before starting
ROUND(
AVG(
UNIX_TIMESTAMP(j.started_at) - UNIX_TIMESTAMP(j.queued_at)
)
) AS seconds_queued,

-- Count the number of jobs that completed in each month
COUNT(j.completed_at) AS job_count

FROM
github_enterprise.workflow_builds j
github_enterprise.workflow_builds j

GROUP BY
month,
year
month,
year

ORDER BY
year,
month
year,
month;