What problem does it solve?
Manually diagnosing Microsoft Fabric Data Warehouse performance bottlenecks—including slow queries, SQL pool pressure events, cold cache issues, and suboptimal data clustering—is time-consuming and requires deep platform-specific knowledge of queryinsights views and system DMVs. This Skill automates the analysis of built-in diagnostic metrics to quickly identify root causes and actionable optimization steps.
Core Features & Use Cases
- Performance Diagnostics: Analyze slow queries, top CPU/storage resource consumers, user query patterns, and performance regressions against historical baselines using read-only T-SQL queries executed via sqlcmd.
- Deep Root-Cause Analysis: Identify SQL pool pressure windows, cache warmth inefficiencies, and query plan bottlenecks to pinpoint why workloads are experiencing degraded performance.
- Clustering Optimization: Generate data clustering key recommendations for high-scanned tables, with step-by-step guidance for implementing clustering via CTAS to improve query performance.
Use case: A data engineer noticing warehouse slowdowns can use this Skill to quickly identify the top slowest queries, check for concurrent pressure events, and get recommended clustering keys for high-volume fact tables without manually writing complex diagnostic queries.
Quick Start
Use the sqldw-operations-cli skill to analyze the slowest queries in your Fabric Data Warehouse over the last 24 hours and get actionable optimization recommendations.