In this section of the lab, we will see the same type of query plan regression behavior as before except this time with Automatic Tuning enabled, SQL Server will automatically resolve the problem. Note: Do not run setup.sql or initialize.sql again for this part of the lab. Open up and execute the script autotune.sql. Jan 16, 2010 its funny i was in the studio the other day, i was mixing a track for an RnB singer and she said can i auto tune it, im like why. Shes like i want the to sound like t-pain. So i do my thing and use gsnap. This satrted an argument. I dont pay u to sit around and add the gsnap what ever the F.ck this shit is. When she finshed screaming at me, i.
STOP: This lab requires you have already followed the instructions in the prelab
This self-paced lab demonstrates the Automatic Tuning (Auto Plan Correction) feature of SQL Server on Linux. As part of this lab you will learn fundamentals of using SQL Operations Studio, which you should have installed as part of the prelab.
Automatic Tuning in SQL Server is a feature that uses the rich telemetry of Query Store to detect query plan regression issues. By default, if the Query Store is enabled for a database, SQL Server can detect query plan regression problems and provide recommendations through a Dynamic Management View. In addition, if the Automatic Tuning feature is enabled for a database, SQL Server can detect the query plan regression and correct it automatically by reverting to a previous 'known good' plan.
You can watch a demonstration of this lab on YouTube at https://www.youtube.com/watch?v=Sh8W7IFX390
Lab Setup
We will use the WideWorldImporters full sample database for this lab. If you have already restored this in the deploy_and_explore lab you can skip the Lab Setup section. This lab assumes you have already installed SQL Server for Linux on RHEL (requires Developer or Enterprise Edition) and SQL Server command line tools.
Query Plan Regression Recommendations
Here is the scenario this lab is trying to demonstrate. When you execute a stored procedure in SQL Server, the engine can use a technique called parameter sniffing to compile a query plan based on parameter values of the stored procedure. If the value of the parameter from the procedure is used in a query comparing to a column that has skewed values, the query plan chosen when the query is compiled may not be optimal.
This can result in a situation where the initial query plan is fine based on a value that is not skewed, but then an unexpected event could cause the plan to be evicted from cache (Ex. memory pressure) and a new plan could be compiled based on a parameter value that is skewed. And it is possible this new plan may not perform well for all users. If this problem occurs, it is considered a query plan regression. This is because a new query plan for the same query yields in poor performance vs previous version of the query plan.
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For this lab, we will create a new stored procedure that will accept an integer parameter value and query tables in the WideWorldImporters database that may result in a query plan regression problem. For this section of the lab, we will execute T-SQL scripts in SQL Operations Studio
You now have observed how with Query Store enabled SQL Server can detect and recommend query plan regression problems. You also have recommendations on how to resolve the problem yourself manually. Garageband 9. 3. 5 for mac.
Automatic Tuning in Action
In this section of the lab, we will see the same type of query plan regression behavior as before except this time with Automatic Tuning enabled, SQL Server will automatically resolve the problem.
Note: Do not run setup.sql or initialize.sql again for this part of the lab. Dmg file opener windows.
You have seen that by default if Query Store is enabled, SQL Server can pinpoint and recommend query plan regression performance problems. Then, if you are comfortable, you can enable automatic tuning and let SQL Server correct these types of problems automatically.
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