wellarchitected_lens_inputwellarchitected_workload_answered_question_countwellarchitected_workload_countwellarchitected_workload_high_issue_countwellarchitected_workload_high_medium_risk_countswellarchitected_workload_high_risk_countwellarchitected_workload_inputwellarchitected_workload_lens_risk_tablewellarchitected_workload_medium_issue_countwellarchitected_workload_medium_risk_countwellarchitected_workload_milestone_lens_review_risk_countswellarchitected_workload_milestone_risk_countswellarchitected_workload_milestone_risk_tablewellarchitected_workload_milestone_unanswered_tablewellarchitected_workload_no_improvements_risk_countwellarchitected_workload_not_applicable_risk_countwellarchitected_workload_pillar_risk_tablewellarchitected_workload_risk_count_tablewellarchitected_workload_risks_by_lenswellarchitected_workload_risks_by_milestonewellarchitected_workload_risks_by_pillarwellarchitected_workload_unanswered_by_milestonewellarchitected_workload_with_high_issue_countwellarchitected_workload_with_medium_issue_count
Query: wellarchitected_workload_risks_by_pillar
Usage
powerpipe query aws_well_architected.query.wellarchitected_workload_risks_by_pillar
Steampipe Tables
SQL
select p ->> 'PillarName' as pillar_name, sum((p -> 'RiskCounts' ->> 'HIGH')::int) as high_risks, sum((p -> 'RiskCounts' ->> 'MEDIUM')::int) as medium_risks, sum((p -> 'RiskCounts' ->> 'NONE')::int) as no_improvements_risks, sum((p -> 'RiskCounts' ->> 'NOT_APPLICABLE')::int) as not_applicable_risksfrom aws_wellarchitected_lens_review as r, jsonb_array_elements(r.pillar_review_summaries) as pwhere r.workload_id = $1 and r.lens_arn = any(string_to_array($2, ','))group by pillar_nameorder by pillar_name
Params
Args | Name | Default | Description | Variable |
---|---|---|---|---|
$1 | workload_id | |||
$2 | lens_arn |
Dashboards
The query is used in the dashboards: