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job-health.yaml
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job-health.yaml
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metric: job-health
description: Calculate daily health metrics for jobs
query: |
#standardSQL
select
unix_seconds(start_day) as day,
job_name as job,
runs,
passed_runs,
if(runs != 0,
round(1 - (passed_runs / runs), 3),
0) as failure_rate,
tests,
failed_tests,
if (tests != 0,
round(failed_tests / tests, 3),
0) as test_failure_rate,
p99_duration,
p75_duration,
p50_duration
from (
select
start_day,
job_name,
count(*) as runs,
countif(passed) as passed_runs,
sum(tests_run) as tests,
sum(tests_failed) as failed_tests,
round(max(_p99_duration), 3) as p99_duration,
round(max(_p75_duration), 3) as p75_duration,
round(max(_p50_duration), 3) as p50_duration
from (
select
timestamp_trunc(b.started, day) start_day,
b.job job_name,
percentile_cont(b.elapsed, 0.50) over(partition by b.job, timestamp_trunc(b.started, day)) / 60.0 as _p50_duration,
percentile_cont(b.elapsed, 0.75) over(partition by b.job, timestamp_trunc(b.started, day)) / 60.0 as _p75_duration,
percentile_cont(b.elapsed, 0.99) over(partition by b.job, timestamp_trunc(b.started, day)) / 60.0 as _p99_duration,
b.tests_run tests_run,
b.tests_failed tests_failed,
b.passed passed
from
`kubernetes-public.k8s_infra_kettle.all` AS b
where
b.started > timestamp_seconds(<LAST_DATA_TIME>)
and started < timestamp_trunc(current_timestamp(), day)
and b.elapsed is not null
)
group by
start_day, job_name
)
order by
start_day, job_name
jqfilter: |
([(.[] | .day|tonumber)] | max) as $newestday |
[(.[] | select((.day|tonumber)==$newestday) | {
day: (.day|tonumber|todateiso8601[:10]),
job: .job,
runs: (.runs|tonumber),
failure_rate: (.failure_rate|tonumber),
tests: (.tests|tonumber),
test_failure_rate: (.test_failure_rate|tonumber),
p50_duration: (.p50_duration|tonumber),
p75_duration: (.p75_duration|tonumber),
p99_duration: (.p99_duration|tonumber),
})]