fix: optimize the median calculation logic of sql (#4311)
* fix: optimize the median calculation logic of sql
* fix: optimize the median calculation logic of sql
diff --git a/grafana/dashboards/DORA.json b/grafana/dashboards/DORA.json
index 412a423..832e437 100644
--- a/grafana/dashboards/DORA.json
+++ b/grafana/dashboards/DORA.json
@@ -15,8 +15,8 @@
"editable": true,
"gnetId": null,
"graphTooltip": 0,
- "id": 27,
- "iteration": 1671764269365,
+ "id": 28,
+ "iteration": 1675408051556,
"links": [],
"panels": [
{
@@ -143,7 +143,7 @@
"metricColumn": "none",
"queryType": "randomWalk",
"rawQuery": true,
- "rawSql": "-- Metric 1: Deployment Frequency\nwith last_few_calendar_months as(\n-- get the last few months within the selected time period in the top-right corner\n\tSELECT CAST((SYSDATE()-INTERVAL (H+T+U) DAY) AS date) day\n\tFROM ( SELECT 0 H\n\t\t\tUNION ALL SELECT 100 UNION ALL SELECT 200 UNION ALL SELECT 300\n\t\t) H CROSS JOIN ( SELECT 0 T\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 20 UNION ALL SELECT 30\n\t\t\tUNION ALL SELECT 40 UNION ALL SELECT 50 UNION ALL SELECT 60\n\t\t\tUNION ALL SELECT 70 UNION ALL SELECT 80 UNION ALL SELECT 90\n\t\t) T CROSS JOIN ( SELECT 0 U\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t) U\n\tWHERE\n\t\t(SYSDATE()-INTERVAL (H+T+U) DAY) > $__timeFrom()\n),\n\n_days_weeks_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -WEEKDAY(last_few_calendar_months.day) DAY)) as week,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as week_deployed,\n\t\t\tCOUNT(distinct deployments.day) as days_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY week\n\t),\n\n_monthly_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -DAY(last_few_calendar_months.day)+1 DAY)) as month,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as months_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY month\n\t),\n\n_median_number_of_deployment_days_per_week as (\n\tSELECT x.days_deployed as median_number_of_deployment_days_per_week from _days_weeks_deploy x, _days_weeks_deploy y\n\tGROUP BY x.days_deployed\n\tHAVING SUM(SIGN(1-SIGN(y.days_deployed-x.days_deployed)))/COUNT(*) > 0.5\n\tLIMIT 1\n),\n\n_median_number_of_deployment_days_per_month as (\n\tSELECT x.months_deployed as median_number_of_deployment_days_per_month from _monthly_deploy x, _monthly_deploy y\n\tGROUP BY x.months_deployed\n\tHAVING SUM(SIGN(1-SIGN(y.months_deployed-x.months_deployed)))/COUNT(*) > 0.5\n\tLIMIT 1\n),\n\n_metric_deployment_frequency as (\n\tSELECT \n\t\t'Deployment frequency' as metric,\n\t\tCASE \n\t\t\tWHEN median_number_of_deployment_days_per_week >= 3 THEN 'On-demand'\n\t\t\tWHEN median_number_of_deployment_days_per_week >= 1 THEN 'Between once per week and once per month'\n\t\t\tWHEN median_number_of_deployment_days_per_month >= 1 THEN 'Between once per month and once every 6 months'\n\t\t\tELSE 'Fewer than once per six months' END AS value\n\tFROM _median_number_of_deployment_days_per_week, _median_number_of_deployment_days_per_month\n),\n\n-- Metric 2: median change lead time\n_pr_stats as (\n-- get PRs' cycle time in the selected period\n\tSELECT\n\t\tdistinct pr.id,\n\t\tprm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr\n\t\tjoin project_pr_metrics prm on prm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project) \n\t\tand pr.merged_date is not null\n\t\tand prm.pr_cycle_time is not null\n\t\tand $__timeFilter(pr.merged_date)\n),\n\n_median_change_lead_time as (\n-- use median PR cycle time as the median change lead time\n\tSELECT x.pr_cycle_time as median_change_lead_time from _pr_stats x, _pr_stats y\n\tGROUP BY x.pr_cycle_time\n\tHAVING SUM(SIGN(1-SIGN(y.pr_cycle_time-x.pr_cycle_time)))/COUNT(*) > 0.5\n\tLIMIT 1\n),\n\n_metric_change_lead_time as (\n\tSELECT \n\t\t'Lead time for changes' as metric,\n\t\tCASE\n\t\t\tWHEN median_change_lead_time < 60 then \"Less than one hour\"\n\t\t\tWHEN median_change_lead_time < 7 * 24 * 60 then \"Less than one week\"\n\t\t\tWHEN median_change_lead_time < 180 * 24 * 60 then \"Between one week and six months\"\n\t\t\tELSE \"More than six months\"\n\t\t\tEND as value\nFROM _median_change_lead_time\n),\n\n\n-- Metric 3: Median time to restore service \n_incidents as (\n-- get the incidents created within the selected time period in the top-right corner\n\tSELECT\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_median_mttr as (\n\tSELECT \n\t\tx.lead_time_minutes as med_time_to_resolve\n\tfrom _incidents x, _incidents y\n\tWHERE x.lead_time_minutes is not null and y.lead_time_minutes is not null\n\tGROUP BY x.lead_time_minutes\n\tHAVING SUM(SIGN(1-SIGN(y.lead_time_minutes-x.lead_time_minutes)))/COUNT(*) > 0.5\n\tLIMIT 1\n),\n\n\n_metric_mttr as (\n\tSELECT \n\t\t'Time to restore service' as metric,\n\t\tcase\n\t\t\tWHEN med_time_to_resolve < 60 then \"Less than one hour\"\n\t\t\tWHEN med_time_to_resolve < 24 * 60 then \"Less than one Day\"\n\t\t\tWHEN med_time_to_resolve < 7 * 24 * 60 then \"Between one day and one week\"\n\t\t\tELSE \"More than one week\"\n\t\t\tEND as value\n\tFROM \n\t\t_median_mttr\n),\n\n-- Metric 4: change failure rate\n_deployment_count as (\n-- get the deployment deployed within the selected time period in the top-right corner\n\tSELECT\n\t\tCOUNT(distinct id) AS deployment_count\n\tFROM\n\t\tcicd_tasks ct\n\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand type = 'DEPLOYMENT'\n\t\tand result = 'SUCCESS'\n and $__timeFilter(finished_date)\n),\n\n_incident_count as (\n-- get the incident created within the selected time period in the top-right corner\n\tSELECT\n\t\tCOUNT(distinct i.id) AS incident_count\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project) \n\t and i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_metric_cfr as (\n\tSELECT \n\t\t'Change failure rate' as metric,\n\t\tcase \n\t\t\twhen deployment_count is null or incident_count is null or deployment_count = 0 then NULL \n\t\t\twhen incident_count/deployment_count <= .15 then \"0-15%\"\n\t\t\twhen incident_count/deployment_count <= .20 then \"16%-20%\"\n\t\t\twhen incident_count/deployment_count <= .30 then \"21%-30%\"\n\t\t\telse \"> 30%\"\n\t\t\tend as value\n\tFROM \n\t\t_deployment_count, _incident_count\n),\n\n_final_results as (\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m1.metric as _metric, m1.value FROM dora_benchmarks db\n\tleft join _metric_deployment_frequency m1 on db.metric = m1.metric\n\tWHERE m1.metric is not null\n\t\n\tunion \n\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m2.metric as _metric, m2.value FROM dora_benchmarks db\n\tleft join _metric_change_lead_time m2 on db.metric = m2.metric\n\tWHERE m2.metric is not null\n\t\n\tunion \n\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m3.metric as _metric, m3.value FROM dora_benchmarks db\n\tleft join _metric_mttr m3 on db.metric = m3.metric\n\tWHERE m3.metric is not null\n\t\n\tunion \n\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m4.metric as _metric, m4.value FROM dora_benchmarks db\n\tleft join _metric_cfr m4 on db.metric = m4.metric\n\tWHERE m4.metric is not null\n)\n\n\nSELECT \n\tmetric,\n\tcase when low = value then low else null end as low,\n\tcase when medium = value then medium else null end as medium,\n\tcase when high = value then high else null end as high,\n\tcase when elite = value then elite else null end as elite\nFROM _final_results\nORDER BY id",
+ "rawSql": "-- Metric 1: Deployment Frequency\nwith last_few_calendar_months as(\n-- get the last few months within the selected time period in the top-right corner\n\tSELECT CAST((SYSDATE()-INTERVAL (H+T+U) DAY) AS date) day\n\tFROM ( SELECT 0 H\n\t\t\tUNION ALL SELECT 100 UNION ALL SELECT 200 UNION ALL SELECT 300\n\t\t) H CROSS JOIN ( SELECT 0 T\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 20 UNION ALL SELECT 30\n\t\t\tUNION ALL SELECT 40 UNION ALL SELECT 50 UNION ALL SELECT 60\n\t\t\tUNION ALL SELECT 70 UNION ALL SELECT 80 UNION ALL SELECT 90\n\t\t) T CROSS JOIN ( SELECT 0 U\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t) U\n\tWHERE\n\t\t(SYSDATE()-INTERVAL (H+T+U) DAY) > $__timeFrom()\n),\n\n_days_weeks_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -WEEKDAY(last_few_calendar_months.day) DAY)) as week,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as week_deployed,\n\t\t\tCOUNT(distinct deployments.day) as days_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY week\n\t),\n\n_monthly_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -DAY(last_few_calendar_months.day)+1 DAY)) as month,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as months_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY month\n\t),\n\n_median_number_of_deployment_days_per_week_ranks as(\n\tSELECT *, percent_rank() over(order by days_deployed) as ranks\n\tFROM _days_weeks_deploy\n),\n\n_median_number_of_deployment_days_per_week as(\n\tSELECT max(days_deployed) as median_number_of_deployment_days_per_week\n\tFROM _median_number_of_deployment_days_per_week_ranks\n\tWHERE ranks <= 0.5\n),\n\n_median_number_of_deployment_days_per_month_ranks as(\n\tSELECT *, percent_rank() over(order by months_deployed) as ranks\n\tFROM _monthly_deploy\n),\n\n_median_number_of_deployment_days_per_month as(\n\tSELECT max(months_deployed) as median_number_of_deployment_days_per_month\n\tFROM _median_number_of_deployment_days_per_month_ranks\n\tWHERE ranks <= 0.5\n),\n\n_metric_deployment_frequency as (\n\tSELECT \n\t\t'Deployment frequency' as metric,\n\t\tCASE \n\t\t\tWHEN median_number_of_deployment_days_per_week >= 3 THEN 'On-demand'\n\t\t\tWHEN median_number_of_deployment_days_per_week >= 1 THEN 'Between once per week and once per month'\n\t\t\tWHEN median_number_of_deployment_days_per_month >= 1 THEN 'Between once per month and once every 6 months'\n\t\t\tELSE 'Fewer than once per six months' END AS value\n\tFROM _median_number_of_deployment_days_per_week, _median_number_of_deployment_days_per_month\n),\n\n-- Metric 2: median change lead time\n_pr_stats as (\n-- get PRs' cycle time in the selected period\n\tSELECT\n\t\tdistinct pr.id,\n\t\tprm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr\n\t\tjoin project_pr_metrics prm on prm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project) \n\t\tand pr.merged_date is not null\n\t\tand prm.pr_cycle_time is not null\n\t\tand $__timeFilter(pr.merged_date)\n),\n\n_median_change_lead_time_ranks as(\n\tSELECT *, percent_rank() over(order by pr_cycle_time) as ranks\n\tFROM _pr_stats\n),\n\n_median_change_lead_time as(\n-- use median PR cycle time as the median change lead time\n\tSELECT max(pr_cycle_time) as median_change_lead_time\n\tFROM _median_change_lead_time_ranks\n\tWHERE ranks <= 0.5\n),\n\n_metric_change_lead_time as (\n\tSELECT \n\t\t'Lead time for changes' as metric,\n\t\tCASE\n\t\t\tWHEN median_change_lead_time < 60 then \"Less than one hour\"\n\t\t\tWHEN median_change_lead_time < 7 * 24 * 60 then \"Less than one week\"\n\t\t\tWHEN median_change_lead_time < 180 * 24 * 60 then \"Between one week and six months\"\n\t\t\tELSE \"More than six months\"\n\t\t\tEND as value\nFROM _median_change_lead_time\n),\n\n\n-- Metric 3: Median time to restore service \n_incidents as (\n-- get the incidents created within the selected time period in the top-right corner\n\tSELECT\n\t distinct i.id,\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_median_mttr_ranks as(\n\tSELECT *, percent_rank() over(order by lead_time_minutes) as ranks\n\tFROM _incidents\n),\n\n_median_mttr as(\n\tSELECT max(lead_time_minutes) as med_time_to_resolve\n\tFROM _median_mttr_ranks\n\tWHERE ranks <= 0.5\n),\n\n\n_metric_mttr as (\n\tSELECT \n\t\t'Time to restore service' as metric,\n\t\tcase\n\t\t\tWHEN med_time_to_resolve < 60 then \"Less than one hour\"\n\t\t\tWHEN med_time_to_resolve < 24 * 60 then \"Less than one Day\"\n\t\t\tWHEN med_time_to_resolve < 7 * 24 * 60 then \"Between one day and one week\"\n\t\t\tELSE \"More than one week\"\n\t\t\tEND as value\n\tFROM \n\t\t_median_mttr\n),\n\n-- Metric 4: change failure rate\n_deployment_count as (\n-- get the deployment deployed within the selected time period in the top-right corner\n\tSELECT\n\t\tCOUNT(distinct id) AS deployment_count\n\tFROM\n\t\tcicd_tasks ct\n\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand type = 'DEPLOYMENT'\n\t\tand result = 'SUCCESS'\n and $__timeFilter(finished_date)\n),\n\n_incident_count as (\n-- get the incident created within the selected time period in the top-right corner\n\tSELECT\n\t\tCOUNT(distinct i.id) AS incident_count\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project) \n\t and i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_metric_cfr as (\n\tSELECT \n\t\t'Change failure rate' as metric,\n\t\tcase \n\t\t\twhen deployment_count is null or incident_count is null or deployment_count = 0 then NULL \n\t\t\twhen incident_count/deployment_count <= .15 then \"0-15%\"\n\t\t\twhen incident_count/deployment_count <= .20 then \"16%-20%\"\n\t\t\twhen incident_count/deployment_count <= .30 then \"21%-30%\"\n\t\t\telse \"> 30%\"\n\t\t\tend as value\n\tFROM \n\t\t_deployment_count, _incident_count\n),\n\n_final_results as (\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m1.metric as _metric, m1.value FROM dora_benchmarks db\n\tleft join _metric_deployment_frequency m1 on db.metric = m1.metric\n\tWHERE m1.metric is not null\n\t\n\tunion \n\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m2.metric as _metric, m2.value FROM dora_benchmarks db\n\tleft join _metric_change_lead_time m2 on db.metric = m2.metric\n\tWHERE m2.metric is not null\n\t\n\tunion \n\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m3.metric as _metric, m3.value FROM dora_benchmarks db\n\tleft join _metric_mttr m3 on db.metric = m3.metric\n\tWHERE m3.metric is not null\n\t\n\tunion \n\t\n\tSELECT distinct db.id,db.metric,db.low,db.medium,db.high,db.elite,m4.metric as _metric, m4.value FROM dora_benchmarks db\n\tleft join _metric_cfr m4 on db.metric = m4.metric\n\tWHERE m4.metric is not null\n)\n\n\nSELECT \n\tmetric,\n\tcase when low = value then low else null end as low,\n\tcase when medium = value then medium else null end as medium,\n\tcase when high = value then high else null end as high,\n\tcase when elite = value then elite else null end as elite\nFROM _final_results\nORDER BY id",
"refId": "A",
"select": [
[
@@ -242,7 +242,7 @@
"metricColumn": "none",
"queryType": "randomWalk",
"rawQuery": true,
- "rawSql": "-- Metric 1: Deployment Frequency\nwith last_few_calendar_months as(\n-- get the last few months within the selected time period in the top-right corner\n\tSELECT CAST((SYSDATE()-INTERVAL (H+T+U) DAY) AS date) day\n\tFROM ( SELECT 0 H\n\t\t\tUNION ALL SELECT 100 UNION ALL SELECT 200 UNION ALL SELECT 300\n\t\t) H CROSS JOIN ( SELECT 0 T\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 20 UNION ALL SELECT 30\n\t\t\tUNION ALL SELECT 40 UNION ALL SELECT 50 UNION ALL SELECT 60\n\t\t\tUNION ALL SELECT 70 UNION ALL SELECT 80 UNION ALL SELECT 90\n\t\t) T CROSS JOIN ( SELECT 0 U\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t) U\n\tWHERE\n\t\t(SYSDATE()-INTERVAL (H+T+U) DAY) > $__timeFrom()\n),\n\n_days_weeks_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -WEEKDAY(last_few_calendar_months.day) DAY)) as week,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as week_deployed,\n\t\t\tCOUNT(distinct deployments.day) as days_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY week\n\t),\n\n_monthly_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -DAY(last_few_calendar_months.day)+1 DAY)) as month,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as months_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY month\n\t),\n\n_median_number_of_deployment_days_per_week as (\n\tSELECT x.days_deployed as median_number_of_deployment_days_per_week from _days_weeks_deploy x, _days_weeks_deploy y\n\tGROUP BY x.days_deployed\n\tHAVING SUM(SIGN(1-SIGN(y.days_deployed-x.days_deployed)))/COUNT(*) > 0.5\n\tLIMIT 1\n),\n\n_median_number_of_deployment_days_per_month as (\n\tSELECT x.months_deployed as median_number_of_deployment_days_per_month from _monthly_deploy x, _monthly_deploy y\n\tGROUP BY x.months_deployed\n\tHAVING SUM(SIGN(1-SIGN(y.months_deployed-x.months_deployed)))/COUNT(*) > 0.5\n\tLIMIT 1\n)\n\nSELECT \n\tCASE \n\t\tWHEN median_number_of_deployment_days_per_week >= 3 THEN 'On-demand'\n\t\tWHEN median_number_of_deployment_days_per_week >= 1 THEN 'Between once per week and once per month'\n\t\tWHEN median_number_of_deployment_days_per_month >= 1 THEN 'Between once per month and once every 6 months'\n\t\tELSE 'Fewer than once per six months' END AS 'Deployment Frequency'\nFROM _median_number_of_deployment_days_per_week, _median_number_of_deployment_days_per_month\n",
+ "rawSql": "-- Metric 1: Deployment Frequency\nwith last_few_calendar_months as(\n-- get the last few months within the selected time period in the top-right corner\n\tSELECT CAST((SYSDATE()-INTERVAL (H+T+U) DAY) AS date) day\n\tFROM ( SELECT 0 H\n\t\t\tUNION ALL SELECT 100 UNION ALL SELECT 200 UNION ALL SELECT 300\n\t\t) H CROSS JOIN ( SELECT 0 T\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 20 UNION ALL SELECT 30\n\t\t\tUNION ALL SELECT 40 UNION ALL SELECT 50 UNION ALL SELECT 60\n\t\t\tUNION ALL SELECT 70 UNION ALL SELECT 80 UNION ALL SELECT 90\n\t\t) T CROSS JOIN ( SELECT 0 U\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t) U\n\tWHERE\n\t\t(SYSDATE()-INTERVAL (H+T+U) DAY) > $__timeFrom()\n),\n\n_days_weeks_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -WEEKDAY(last_few_calendar_months.day) DAY)) as week,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as week_deployed,\n\t\t\tCOUNT(distinct deployments.day) as days_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY week\n\t),\n\n_monthly_deploy as(\n\tSELECT\n\t\t\tdate(DATE_ADD(last_few_calendar_months.day, INTERVAL -DAY(last_few_calendar_months.day)+1 DAY)) as month,\n\t\t\tMAX(if(deployments.day is not null, 1, 0)) as months_deployed\n\tFROM \n\t\tlast_few_calendar_months\n\t\tLEFT JOIN(\n\t\t\tSELECT\n\t\t\t\tdistinct DATE(finished_date) AS day,\n\t\t\t\tid\n\t\t\tFROM cicd_tasks ct\n\t\t\tjoin project_mapping pm on ct.cicd_scope_id = pm.row_id\n\t\t\tWHERE\n\t\t\t pm.project_name in ($project)\n\t\t\t\tand type = 'DEPLOYMENT'\n\t\t\t\tand result = 'SUCCESS') deployments ON deployments.day = last_few_calendar_months.day\n\tGROUP BY month\n\t),\n\n_median_number_of_deployment_days_per_week_ranks as(\n\tSELECT *, percent_rank() over(order by days_deployed) as ranks\n\tFROM _days_weeks_deploy\n),\n\n_median_number_of_deployment_days_per_week as(\n\tSELECT max(days_deployed) as median_number_of_deployment_days_per_week\n\tFROM _median_number_of_deployment_days_per_week_ranks\n\tWHERE ranks <= 0.5\n),\n\n_median_number_of_deployment_days_per_month_ranks as(\n\tSELECT *, percent_rank() over(order by months_deployed) as ranks\n\tFROM _monthly_deploy\n),\n\n_median_number_of_deployment_days_per_month as(\n\tSELECT max(months_deployed) as median_number_of_deployment_days_per_month\n\tFROM _median_number_of_deployment_days_per_month_ranks\n\tWHERE ranks <= 0.5\n)\n\nSELECT \n\tCASE \n\t\tWHEN median_number_of_deployment_days_per_week >= 3 THEN 'On-demand'\n\t\tWHEN median_number_of_deployment_days_per_week >= 1 THEN 'Between once per week and once per month'\n\t\tWHEN median_number_of_deployment_days_per_month >= 1 THEN 'Between once per month and once every 6 months'\n\t\tELSE 'Fewer than once per six months' END AS 'Deployment Frequency'\nFROM _median_number_of_deployment_days_per_week, _median_number_of_deployment_days_per_month\n",
"refId": "A",
"select": [
[
@@ -341,7 +341,7 @@
"metricColumn": "none",
"queryType": "randomWalk",
"rawQuery": true,
- "rawSql": "-- Metric 2: median change lead time\nwith _pr_stats as (\n-- get PRs' cycle time in the selected period\n\tSELECT\n\t\tdistinct pr.id,\n\t\tprm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr \n\t\tjoin project_pr_metrics prm on prm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project) \n\t\tand pr.merged_date is not null\n\t\tand prm.pr_cycle_time is not null\n\t\tand $__timeFilter(pr.merged_date)\n),\n\n_median_change_lead_time as (\n-- use median PR cycle time as the median change lead time\n\tSELECT x.pr_cycle_time as median_change_lead_time from _pr_stats x, _pr_stats y\n\tGROUP BY x.pr_cycle_time\n\tHAVING SUM(SIGN(1-SIGN(y.pr_cycle_time-x.pr_cycle_time)))/COUNT(*) > 0.5\n\tLIMIT 1\n)\n\nSELECT \n CASE\n WHEN median_change_lead_time < 60 then \"Less than one hour\"\n WHEN median_change_lead_time < 7 * 24 * 60 then \"Less than one week\"\n WHEN median_change_lead_time < 180 * 24 * 60 then \"Between one week and six months\"\n ELSE \"More than six months\"\n END as median_change_lead_time\nFROM _median_change_lead_time",
+ "rawSql": "-- Metric 2: median change lead time\nwith _pr_stats as (\n-- get PRs' cycle time in the selected period\n\tSELECT\n\t\tdistinct pr.id,\n\t\tprm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr \n\t\tjoin project_pr_metrics prm on prm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project) \n\t\tand pr.merged_date is not null\n\t\tand prm.pr_cycle_time is not null\n\t\tand $__timeFilter(pr.merged_date)\n),\n\n_median_change_lead_time_ranks as(\n\tSELECT *, percent_rank() over(order by pr_cycle_time) as ranks\n\tFROM _pr_stats\n),\n\n_median_change_lead_time as(\n-- use median PR cycle time as the median change lead time\n\tSELECT max(pr_cycle_time) as median_change_lead_time\n\tFROM _median_change_lead_time_ranks\n\tWHERE ranks <= 0.5\n)\n\nSELECT \n CASE\n WHEN median_change_lead_time < 60 then \"Less than one hour\"\n WHEN median_change_lead_time < 7 * 24 * 60 then \"Less than one week\"\n WHEN median_change_lead_time < 180 * 24 * 60 then \"Between one week and six months\"\n WHEN median_change_lead_time >= 180 * 24 * 60 then \"More than six months\"\n ELSE \"N/A.Please check if you have collected deployments/incidents.\"\n END as median_change_lead_time\nFROM _median_change_lead_time",
"refId": "A",
"select": [
[
@@ -444,7 +444,7 @@
"metricColumn": "none",
"queryType": "randomWalk",
"rawQuery": true,
- "rawSql": "-- Metric 3: Median time to restore service \nwith _incidents as (\n-- get the incidents created within the selected time period in the top-right corner\n\tSELECT\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_median_mttr as (\n\tSELECT \n\t\tx.lead_time_minutes as med_time_to_resolve\n\tfrom _incidents x, _incidents y\n\tWHERE x.lead_time_minutes is not null and y.lead_time_minutes is not null\n\tGROUP BY x.lead_time_minutes\n\tHAVING SUM(SIGN(1-SIGN(y.lead_time_minutes-x.lead_time_minutes)))/COUNT(*) > 0.5\n\tLIMIT 1\n)\n\nSELECT \n\tcase\n\t\tWHEN med_time_to_resolve < 60 then \"Less than one hour\"\n WHEN med_time_to_resolve < 24 * 60 then \"Less than one Day\"\n WHEN med_time_to_resolve < 7 * 24 * 60 then \"Between one day and one week\"\n ELSE \"More than one week\"\n END as med_time_to_resolve\nFROM \n\t_median_mttr",
+ "rawSql": "-- Metric 3: Median time to restore service \nwith _incidents as (\n-- get the incidents created within the selected time period in the top-right corner\n\tSELECT\n\t distinct i.id,\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand $__timeFilter(i.created_date)\n),\n\n_median_mttr_ranks as(\n\tSELECT *, percent_rank() over(order by lead_time_minutes) as ranks\n\tFROM _incidents\n),\n\n_median_mttr as(\n\tSELECT max(lead_time_minutes) as med_time_to_resolve\n\tFROM _median_mttr_ranks\n\tWHERE ranks <= 0.5\n)\n\nSELECT \n\tcase\n\t\tWHEN med_time_to_resolve < 60 then \"Less than one hour\"\n WHEN med_time_to_resolve < 24 * 60 then \"Less than one Day\"\n WHEN med_time_to_resolve < 7 * 24 * 60 then \"Between one day and one week\"\n WHEN med_time_to_resolve >= 7 * 24 * 60 then \"More than one week\"\n ELSE \"N/A.Please check if you have collected deployments/incidents.\"\n END as med_time_to_resolve\nFROM \n\t_median_mttr",
"refId": "A",
"select": [
[
@@ -727,7 +727,7 @@
"hide": false,
"metricColumn": "none",
"rawQuery": true,
- "rawSql": "-- Metric 2: median change lead time per month\nwith _pr_stats as (\n-- get PRs' cycle lead time in each month\n\tSELECT\n\t\tdistinct pr.id,\n\t\tdate_format(pr.merged_date,'%y/%m') as month,\n\t\tprm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr\n\t\tjoin project_pr_metrics prm on prm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\tWHERE\n\t\tpr.merged_date is not null\n\t\tand prm.pr_cycle_time is not null\n\t\tand $__timeFilter(pr.merged_date)\n),\n\n_find_median_clt_each_month as (\n\tSELECT x.month, x.pr_cycle_time as med_change_lead_time \n\tFROM _pr_stats x JOIN _pr_stats y ON x.month = y.month\n\tGROUP BY x.month, x.pr_cycle_time\n\tHAVING SUM(SIGN(1-SIGN(y.pr_cycle_time-x.pr_cycle_time)))/COUNT(*) > 0.5\n),\n\n_find_clt_rank_each_month as (\n\tSELECT\n\t\t*,\n\t\trank() over(PARTITION BY month ORDER BY med_change_lead_time) as _rank \n\tFROM\n\t\t_find_median_clt_each_month\n),\n\n_clt as (\n\tSELECT\n\t\tmonth,\n\t\tmed_change_lead_time\n\tfrom _find_clt_rank_each_month\n\tWHERE _rank = 1\n),\n\n_calendar_months as(\n-- to\tdeal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcase \n\t\twhen _clt.med_change_lead_time is null then 0 \n\t\telse _clt.med_change_lead_time/60 end as med_change_lead_time_in_hour\nFROM \n\t_calendar_months cm\n\tleft join _clt on cm.month = _clt.month\nORDER BY 1",
+ "rawSql": "-- Metric 2: median change lead time per month\nwith _pr_stats as (\n-- get PRs' cycle lead time in each month\n\tSELECT\n\t\tdistinct pr.id,\n\t\tdate_format(pr.merged_date,'%y/%m') as month,\n\t\tprm.pr_cycle_time\n\tFROM\n\t\tpull_requests pr\n\t\tjoin project_pr_metrics prm on prm.id = pr.id\n\t\tjoin project_mapping pm on pr.base_repo_id = pm.row_id\n\tWHERE\n\t\tpr.merged_date is not null\n\t\tand prm.pr_cycle_time is not null\n\t\tand $__timeFilter(pr.merged_date)\n),\n\n_find_median_clt_each_month_ranks as(\n\tSELECT *, percent_rank() over(PARTITION BY month order by pr_cycle_time) as ranks\n\tFROM _pr_stats\n),\n\n_find_median_clt_each_month as(\n\tSELECT month, max(pr_cycle_time) as med_change_lead_time\n\tFROM _find_median_clt_each_month_ranks\n\tWHERE ranks <= 0.5\n\tgroup by month\n),\n\n_find_clt_rank_each_month as (\n\tSELECT\n\t\t*,\n\t\trank() over(PARTITION BY month ORDER BY med_change_lead_time) as _rank \n\tFROM\n\t\t_find_median_clt_each_month\n),\n\n_clt as (\n\tSELECT\n\t\tmonth,\n\t\tmed_change_lead_time\n\tfrom _find_clt_rank_each_month\n\tWHERE _rank = 1\n),\n\n_calendar_months as(\n-- to\tdeal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcase \n\t\twhen _clt.med_change_lead_time is null then 0 \n\t\telse _clt.med_change_lead_time/60 end as med_change_lead_time_in_hour\nFROM \n\t_calendar_months cm\n\tleft join _clt on cm.month = _clt.month\nORDER BY 1",
"refId": "A",
"select": [
[
@@ -841,7 +841,7 @@
"hide": false,
"metricColumn": "none",
"rawQuery": true,
- "rawSql": "-- Metric 3: median time to restore service - MTTR\nwith _incidents as (\n-- get the incident count each month\n\tSELECT\n\t\tdate_format(i.created_date,'%y/%m') as month,\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n),\n\n_find_median_mttr_each_month as (\n\tSELECT \n\t\tx.*\n\tfrom _incidents x join _incidents y on x.month = y.month\n\tWHERE x.lead_time_minutes is not null and y.lead_time_minutes is not null\n\tGROUP BY x.month, x.lead_time_minutes\n\tHAVING SUM(SIGN(1-SIGN(y.lead_time_minutes-x.lead_time_minutes)))/COUNT(*) > 0.5\n),\n\n_find_mttr_rank_each_month as (\n\tSELECT\n\t\t*,\n\t\trank() over(PARTITION BY month ORDER BY lead_time_minutes) as _rank \n\tFROM\n\t\t_find_median_mttr_each_month\n),\n\n_mttr as (\n\tSELECT\n\t\tmonth,\n\t\tlead_time_minutes as med_time_to_resolve\n\tfrom _find_mttr_rank_each_month\n\tWHERE _rank = 1\n),\n\n_calendar_months as(\n-- deal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcase \n\t\twhen m.med_time_to_resolve is null then 0 \n\t\telse m.med_time_to_resolve/60 end as med_time_to_resolve_in_hour\nFROM \n\t_calendar_months cm\n\tleft join _mttr m on cm.month = m.month\nORDER BY 1",
+ "rawSql": "-- Metric 3: median time to restore service - MTTR\nwith _incidents as (\n-- get the incident count each month\n\tSELECT\n\t distinct i.id,\n\t\tdate_format(i.created_date,'%y/%m') as month,\n\t\tcast(lead_time_minutes as signed) as lead_time_minutes\n\tFROM\n\t\tissues i\n\t join board_issues bi on i.id = bi.issue_id\n\t join boards b on bi.board_id = b.id\n\t join project_mapping pm on b.id = pm.row_id\n\tWHERE\n\t pm.project_name in ($project)\n\t\tand i.type = 'INCIDENT'\n\t\tand i.lead_time_minutes is not null\n),\n\n_find_median_mttr_each_month_ranks as(\n\tSELECT *, percent_rank() over(PARTITION BY month order by lead_time_minutes) as ranks\n\tFROM _incidents\n),\n\n_find_median_mttr_each_month as(\n\tSELECT month, max(lead_time_minutes) as lead_time_minutes\n\tFROM _find_median_mttr_each_month_ranks\n\tWHERE ranks <= 0.5\n\tGROUP BY month\n),\n\n_find_mttr_rank_each_month as (\n\tSELECT\n\t\t*,\n\t\trank() over(PARTITION BY month ORDER BY lead_time_minutes) as _rank \n\tFROM\n\t\t_find_median_mttr_each_month\n),\n\n_mttr as (\n\tSELECT\n\t\tmonth,\n\t\tlead_time_minutes as med_time_to_resolve\n\tfrom _find_mttr_rank_each_month\n\tWHERE _rank = 1\n),\n\n_calendar_months as(\n-- deal with the month with no incidents\n\tSELECT date_format(CAST((SYSDATE()-INTERVAL (month_index) MONTH) AS date), '%y/%m') as month\n\tFROM ( SELECT 0 month_index\n\t\t\tUNION ALL SELECT 1 UNION ALL SELECT 2 UNION ALL SELECT 3\n\t\t\tUNION ALL SELECT 4 UNION ALL SELECT 5 UNION ALL SELECT 6\n\t\t\tUNION ALL SELECT 7 UNION ALL SELECT 8 UNION ALL SELECT 9\n\t\t\tUNION ALL SELECT 10 UNION ALL SELECT 11\n\t\t) month_index\n\tWHERE (SYSDATE()-INTERVAL (month_index) MONTH) > SYSDATE()-INTERVAL 6 MONTH\t\n)\n\nSELECT \n\tcm.month,\n\tcase \n\t\twhen m.med_time_to_resolve is null then 0 \n\t\telse m.med_time_to_resolve/60 end as med_time_to_resolve_in_hour\nFROM \n\t_calendar_months cm\n\tleft join _mttr m on cm.month = m.month\nORDER BY 1",
"refId": "A",
"select": [
[
@@ -1029,5 +1029,5 @@
"timezone": "",
"title": "DORA",
"uid": "qNo8_0M4z",
- "version": 8
+ "version": 7
}
\ No newline at end of file
