Overview
This page provides a walkthrough of common SQL performance issues and troubleshooting steps for Azure SQL. We will examine error logs, query optimization, and common bottlenecks.
This is a simplified example; real-world scenarios require deeper analysis.
Error Log Analysis
Review the error logs in the SQL Error Log for any recurring errors. Pay attention to timestamps, error codes, and potential causes.
Query Optimization
Identify slow-running queries. Consider adding indexes to frequently accessed columns. Use query profiling tools (e.g., SQL Server Profiler, Azure Database Migration Service) to analyze query performance.
Common Bottlenecks
Common bottlenecks can include: Slow queries, N+1 queries, table scans, index inefficiencies, and deadlocks.
Troubleshooting Steps
1. Examine the Error Logs: Focus on the most recent and critical errors.
2. Filter Queries: Using the SQL Server Management Studio (SSMS) or Azure SQL Editor, filter queries to identify those with a high execution time.
3. Add Indexes: Strategically add indexes to frequently used columns to speed up data retrieval.
4. Analyze Execution Plans: Use SQL Server Profiler to understand how the query is being executed, identifying potential bottlenecks and inefficient operations.
5. Review Statistics: Ensure that statistics are up-to-date – this helps the query optimizer make better decisions.
Resources
Azure SQL Performance Library - Azure documentation