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
- Navigate to your Lakehouse in the Fabric workspace.
- Click on the SQL Analytics Endpoint tab.
- Open the Monitor section from the left panel.
- Choose Query History or Performance dashboards.
📊 Analyze Long-Running Queries
- Sort the query history by
Durationto 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 Hashto 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.