Default enabling means that Microsoft takes responsibility for any side effects caused by this feature. Query Store has gone through several versions and is enabled by default in SQL Server 2022. Go live, observe performance, and repeat optimization if the expected result is not received.Intervene manually to identify slow SQL queries.With Query Store, the previous DBA optimization method has been simplified as follows: In the example below, the SQL statement corresponds to only one execution plan, showing the related information such as 379 executions in one minute and CPU times. Execution plan statistics (I/O, CPU usage, etc.)įor instance, we can utilize Query Store to sort queries based on CPU usage and summarize them every minute.Multi-version information of execution plans.

However, since 2016, SQL Server has introduced Query Store, which allows for the persistence of various metadata related to executed SQL performance on disk. Traditionally, external collectors were used for this purpose. Additionally, it only provides aggregated data without detailed breakdown.īoth establishing a baseline and capturing slow SQL queries require data collection, which usually requires a certain SQL Server foundation and the deployment of additional components such as monitoring collection, data processing, and display. DBAs regularly capture statements that consume high resources for manual tuning.Īlthough SQL Server has many built-in DMV (Dynamic Management Views) for recording statistics, this information is memory-based and disappears after a restart. Similarly, when a system experiences bottlenecks, comparing the current indicators with the baseline can help quickly identify the troubleshooting scope.Īnother task in performance optimization is capturing slow SQL queries. When a person feels uncomfortable, comparing the checked data with the indicators can quickly narrow down the possible causes. Establishing a baseline can be likened to regular physical check-ups, where healthy indicators serve as the baseline. In the past, one of the important tasks for Database Administrators (DBAs) was performance optimization, and 'establishing a baseline' was a crucial part of this process. It can be seen that Query Store is at the core of implementing these foundations. The overview of Build-In Query Intelligence is depicted in the following figure. On the other hand, if you enhance the kernel, you only need to enable or disable certain functions, which is more cost-effective. Many new features may require changes in application code, resulting in higher usage costs. On the contrary, enhancing a product's capabilities without changing how it is used is the most beneficial approach.įor instance, when the battery power of a mobile phone remains the same, manually turning off unused functions frequently to save power can be more costly than having the operating system automatically turn off unused functions based on specific rules. Most products require changes in usage to improve performance, which often comes with higher costs. Some of the new features introduced in SQL Server 2022 can immediately improve performance and provide the greatest enhancement. Sample database: Built-In Query Intelligence This means that only preliminary verification will be done, and the environment will be kept simple and released after use.ĪpsaraDB RDS for SQL Server 2022 Enterprise Cluster Edition This article will conduct tests on some new features but will not perform in-depth testing. The integration with Azure, S3 Blob, and the enhancements in terms of deployment for On Linux and Kubernetes are beyond the scope of this article. The focus of this article is on the SQL Server 2022 engine itself. However, as this article is only an overview, I will not delve into the details of each feature. In fact, SQL Server 2022 has made significant advancements in its engine, and each feature deserves a dedicated article for in-depth discussion. This article is an overview of the newly released features in SQL Server 2022 and my personal understanding of each function as a user.

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