Advanced SQL Server Query Store - Custom Reports and Analysis

Introduction

SQL Server Query Store is a powerful feature that allows you to capture and analyze query performance data. This guide explores advanced techniques for creating custom reports and performing in-depth analysis using Query Store, including sample code and examples.

1. Query Store Overview

Understand the basics of Query Store, how it captures query data, and its role in performance analysis.

-- Enable Query Store on a Database
ALTER DATABASE YourDatabase
SET QUERY_STORE = ON;
    

2. Custom Query Store Reports

Create custom reports to extract specific insights from the Query Store data.

-- Sample Custom Report Query
SELECT q.query_id, q.query_text, r.avg_duration
FROM sys.query_store_query q
JOIN sys.query_store_runtime_stats r
ON q.query_id = r.query_id
WHERE r.avg_duration > 1000;
    

3. Query Performance Analysis

Analyze query performance metrics, including execution plans, wait statistics, and resource usage.

-- Identify High Resource Queries
SELECT q.query_id, q.query_text, r.avg_cpu_time
FROM sys.query_store_query q
JOIN sys.query_store_runtime_stats r
ON q.query_id = r.query_id
WHERE r.avg_cpu_time > 1000;
    

4. Plan Forcing and Query Tuning

Use Query Store data to identify poorly performing queries and implement plan forcing or query optimization.

-- Implement Plan Forcing
ALTER DATABASE YourDatabase
SET QUERY_STORE (OPERATION_MODE = READ_ONLY);
    

5. Historical Query Store Data

Access historical Query Store data to analyze query performance trends over time.

-- Retrieve Historical Query Store Data
SELECT *
FROM sys.query_store_plan
WHERE runtime_stats_start_time < '2023-01-01';
    

6. Advanced Use Cases

Query Store can be used for various advanced use cases, such as identifying regressions and optimizing query workloads.

-- Advanced Query Analysis
// Include advanced query analysis scenarios
// ...
    

Conclusion

Advanced Query Store usage enables database administrators and developers to create custom reports, perform in-depth query analysis, optimize query performance, and identify performance trends. By mastering these techniques, organizations can ensure efficient SQL Server query performance and minimize query-related issues.