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/*
* Copyright 2020 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* It is assumed that the following query will be run in the administration
* project where the reservations were created. If this is not the case,
* prepend the project id to the table name as follows:
* `{project_id}`.`region-{region_name}`.INFORMATION_SCHEMA.{table}
*/
/*
* Daily Utilization Report: Returns daily BigQuery usage
* by reservation, project, job type, and user
*/
SELECT
TIMESTAMP_TRUNC(jbo.period_start, DAY) AS usage_date,
jbo.reservation_id,
jbo.project_id,
jbo.job_type,
jbo.user_email,
-- Aggregate total_slots_ms used for all jobs on this day and divide
-- by the number of milliseconds in a day. Most accurate for days with
-- consistent slot usage
SUM(jbo.period_slot_ms) / (1000 * 60 * 60 * 24) AS average_daily_slot_usage
FROM
`region-{region_name}`.INFORMATION_SCHEMA.JOBS_TIMELINE_BY_ORGANIZATION jbo
WHERE (jbo.statement_type != "SCRIPT" OR jbo.statement_type IS NULL) -- Avoid duplicate byte counting in parent and children jobs.
GROUP BY
usage_date,
jbo.project_id,
jbo.job_type,
jbo.user_email,
jbo.reservation_id
ORDER BY
usage_date ASC