Add PowerQuery efficiency community dashboard - #106
Merged
marcorottigni-s1 merged 2 commits intoOct 2, 2026
Merged
marcorottigni-s1 merged 2 commits into
marcorottigni-s1 merged 2 commits into
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Monitors per-query performance (time, CPU, bytes scanned, selectivity, errors) from the data lake's own queryOutcome audit telemetry, with no connector or parser required.
Split into About (standalone description/how-to-read), Overview (KPIs incl. an error-rate gauge), Query Anatomy & Optimization (construct-usage and selectivity-tier donuts, origin x time heatmap), and Troubleshooting & Errors. Also fixes the purpose parameter, which had become a dead no-op filter during an earlier quoting-bug fix, and moves the bytes-by-origin panel off the undocumented "column" graphStyle onto the confirmed stacked_bar pattern.
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Summary
dashboards/community/PowerQuery-efficiency-latest/) that monitors per-query performance — execution time, CPU, bytes scanned, selectivity, and errors — using the data lake's ownqueryOutcomeaudit telemetry.metadata.yaml, the dashboard.conf, and aREADME.mdcovering field reference, PowerQuery identification (lrqTokenvs. marker-comment tracking), coverage caveats, and install steps.Test plan
.confinto a tenant console (Dashboards → New → Import) and confirm panels render against livequeryOutcomedatapq_idparameter substitution works for both anlrqTokenand a marker-comment value