Monitor Long Running & Frequent Queries in Lakehouse Tables | Microsoft Fabric Tutorial for Beginners

Monitor Long Running & Frequent Queries in Lakehouse Tables

Microsoft Fabric Tutorial

📘 Overview

Performance tuning is a key part of maintaining a healthy analytics platform. In this tutorial, you'll learn how to monitor long-running and frequent queries against Lakehouse tables in Microsoft Fabric using built-in monitoring tools, helping you identify bottlenecks and optimize workloads effectively.

✅ Topics Covered

• How to access monitoring tools in Microsoft Fabric
• How to view historical query performance
• Identify bottlenecks and optimize slow queries
• Monitor frequent queries for performance tuning
• Use metrics for better resource management and debugging

🔍 Accessing Monitoring Tools

1. Navigate to your Lakehouse in the Fabric workspace.
2. Click on the SQL Analytics Endpoint tab.
3. Open the Monitor section from the left panel.
4. Choose Query History or Performance dashboards.

📊 Analyze Long-Running Queries

• Sort the query history by Duration to identify slow queries.
• Click on each query to view the execution plan and performance details.
• Look for high-cost operations like joins on unindexed columns or large shuffles.

🔁 Identify and Tune Frequent Queries

• Filter or group queries by Text Hash to identify frequently executed ones.
• Review their execution stats, I/O, and compute time.
• Optimize such queries by adding caching, reducing complexity, or restructuring joins.

📈 Metrics & Best Practices

• Use duration, rows read, and memory used to assess query impact.
• Capture performance baselines over time to detect anomalies.
• Schedule heavy queries during off-peak hours when possible.
• Document repetitive queries and use views to centralize logic.

🎥 Watch the Full Tutorial

Blog created with help from ChatGPT and Gemini.