![]() ![]() The script then sorts the data within each category in descending order, displaying the top 25 queries with the highest average values.ĭisplaying the Results: To present the data in a user-friendly format, the script employs PowerShell's Out-GridView cmdlet. It calculates average values for each category, allowing database administrators to identify performance bottlenecks and areas of improvement. ![]() Additionally, the sys.dm_exec_sql_text DMV is employed to extract the actual SQL text associated with each query for better visibility.Ĭategorization and Sorting: The script groups the query performance data based on the five key categories mentioned earlier. These statistics include execution counts, total worker time, total elapsed time, logical reads, physical reads, and rows affected. Querying the Dynamic Management Views (DMVs): Within the script, the queries are constructed to retrieve query performance statistics from the sys.dm_exec_query_stats DMV. By making use of this function, the script becomes resilient and can withstand intermittent network or database-related disruptions. This function incorporates a retry mechanism, which ensures that the script can gracefully handle transient connection issues or query timeouts. Invoke-SqlCommandWithRetry Function: The script includes a robust function called Invoke-SqlCommandWithRetry, responsible for establishing and maintaining a connection to the Azure SQL Database. Each category represents a crucial aspect of query performance, providing valuable insights into query efficiency, resource utilization, and execution frequency. It then processes and organizes this data into five distinct categories: AvgWorkerTime, AvgDOP (Degree of Parallelism), AvgLogicalReads, AvgPhysicalReads, and AvgRows. The PowerShell script utilizes the sys.dm_exec_query_stats and sys.dm_exec_sql_text dynamic management views (DMVs) to gather vital information about query execution statistics and their associated SQL text. We'll delve into the script's inner workings, explain the key components, and discuss why this monitoring approach is essential for optimizing your database performance. By using this script, you can keep a close eye on the execution statistics of various queries running on your Azure SQL Database. In this article, we will explore a PowerShell script that serves as an Activity Monitor for Azure SQL Database query performance. ![]()
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