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_lens_input
Usage
powerpipe query aws_well_architected.query.wellarchitected_lens_input
Steampipe Tables
SQL
select l.title as label, l.arn as value, json_build_object( 'account_id', l.account_id, 'region', l.region, 'lens_alias', l.lens_alias ) as tagsfrom aws_wellarchitected_workload w, aws_wellarchitected_lens l, jsonb_array_elements_text(w.lenses) lawhere (la = l.lens_alias or la = l.arn) and l.account_id = w.account_id and l.region = w.region and w.workload_id = $1order by l.title;