Sql server timeslice professional#

I execute a stored procedure multiple times for different parameter values against a large table that is not evenly distributed, then I cause recompiles to force SQL Server to generate a different execution plan. Performance Tuningįor this example, I will fabricate an issue for demo purposes. AUTO setting will capture the more “significant” parts of your workload and for this reason, I tend to opt for this setting. You will need to make your own decision as to what you think will suit your workload patterns because the side effect of setting this mode to ALL means everything is going to be collected, even the insignificant code. For Azure SQL Database, the default value is AUTO. The default value for SQL Server 2016 and SQL Server 2017 is ALL. The second setting to be aware of is called Query_Capture_Mode and there are subtle differences between on-premises SQL Server 2016 / 2017 and Azure SQL Database. The first configuration setting that I would suggest changing relates to increasing the size of the data space for Query Store, as you can see below I have changed the maximum size to 1GB. Looking at the settings from SQL Server Management Studio (SSMS) you can see many configuration tweaks are possible. To confirm successful setup and to review the settings such as maximum storage space allowed and data flush interval rates you can run the following select statement.

Query store is set up on a per database setting hence within the context of the master database for my database called Adventure DB I would execute the following code: With Query Store in your performance tuning tool-kit, you could follow a specific troubleshooting methodology as defined below by Microsoft, which will form the basis for the rest of the blog post.

Sql server timeslice professional#

The goal of this tool is to allow you as the data professional to not only troubleshoot your workloads but to stabilise it if required. The plan store which holds execution plan information and the runtime stats store which holds execution statistics information, both are in-memory objects. Much information is available for performance tuning analysis which is made possible by two stores held within Query Store. The Query Store is compared to that of an air flight black box recorder, more specifically when relating it to SQL Server it tracks what your queries are doing thus it is easy for you to see potential query plan changes that are impacting performance over varying time slice windows. Not only is this feature available with on-premises SQL Server but it is a key tool to use when troubleshooting performance issues in Azure SQL Database. The Query Store was introduced back in SQL Server 2016 and with the incoming release of SQL Server 2019, it remains a very important feature to know and understand to utilise in performance tuning exercises. Time to read: 9 minutes By Arun Sirpal (Microsoft MVP), Editorial Contributor