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"# **SQL Modernization What The Hack**\n",
"\n",
"## **Challenge 2 - Intelligent Query Processing**"
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"## Introduction\n",
"\n",
"Wide World Importers has been motivated by the migration to the cloud to better understand database performance and requires your team's expertise. They are hoping to understand how to better evaluate problem spots, and take advantage of features within SQL Server 2019+ that might help. Additionally, as part of their modernization effort, they feel this an ideal time to leverage Notebooks."
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"## Step 0 - Configuration\n",
"\n",
"To isolate the difference in performance the team is seeing, all of these tests should be performed on the team's \"on-premises\" server -- we will switch database compatability appropriately to illustrate how the query performs on SQL 2016 vs SQL 2019, and the actual execution time is easier to compare as the hardware is identical. Further, it will be easier to visualize the performance changes by using Query Store. This may also be tested between on premises and the migrated server, but there may be other performance characteristics that impact performance."
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"## Step 1 - Create the test stored procedure\n",
"\n",
"To demonstrate one of the performance anomalies WWI's developers are seeing, they've created the following code snippet that is similar to what is used in some of their analytical queries. \n",
"\n",
"This procedure uses a table variable populated from a user table and then joins it with a user table to provide output. T-SQL functions like COUNT and SUM are often seen in analytic queries. Note: In this example the TOP 1 T-SQL syntax is used so that the procedure only produces 1 row. This is only done to make the output easier to read in this workshop since this procedure will be executed multiple times. Normal execution of this procedure may not include TOP.\n",
"\n",
"There is also a query to bring all pages from Sales.Invoices into buffer pool cache to ensure the comparisons are fair."
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"USE WideWorldImporters\r\n",
"GO\r\n",
"CREATE or ALTER PROCEDURE [Sales].[CustomerProfits]\r\n",
"AS\r\n",
"BEGIN\r\n",
"-- Declare the table variable\r\n",
"DECLARE @ilines TABLE\r\n",
"(\t[InvoiceLineID] [int] NOT NULL primary key,\r\n",
"\t[InvoiceID] [int] NOT NULL,\r\n",
"\t[StockItemID] [int] NOT NULL,\r\n",
"\t[Description] [nvarchar](100) NOT NULL,\r\n",
"\t[PackageTypeID] [int] NOT NULL,\r\n",
"\t[Quantity] [int] NOT NULL,\r\n",
"\t[UnitPrice] [decimal](18, 2) NULL,\r\n",
"\t[TaxRate] [decimal](18, 3) NOT NULL,\r\n",
"\t[TaxAmount] [decimal](18, 2) NOT NULL,\r\n",
"\t[LineProfit] [decimal](18, 2) NOT NULL,\r\n",
"\t[ExtendedPrice] [decimal](18, 2) NOT NULL,\r\n",
"\t[LastEditedBy] [int] NOT NULL,\r\n",
"\t[LastEditedWhen] [datetime2](7) NOT NULL\r\n",
")\r\n",
"\r\n",
"-- Insert all the rows from InvoiceLines into the table variable\r\n",
"INSERT INTO @ilines SELECT * FROM Sales.InvoiceLines\r\n",
"\r\n",
"-- Find my total profile by customer\r\n",
"SELECT TOP 1 COUNT(i.CustomerID) as customer_count, SUM(il.LineProfit) as total_profit\r\n",
"FROM Sales.Invoices i\r\n",
"INNER JOIN @ilines il\r\n",
"ON i.InvoiceID = il.InvoiceID\r\n",
"GROUP By i.CustomerID\r\n",
"END\r\n",
"GO\r\n",
"-- Pull these pages into cache to make the comparison fair based on a warm buffer pool cache\r\n",
"SELECT COUNT(*) FROM Sales.Invoices"
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"## Step 2 - Run the stored procedure with database compatibility of 130\n",
"\n",
"To begin, the script will ensure the database is in a compatibility mode of 130 (SQL 2016). The script also turns off rowcount messages to be returned to the client to reduce network traffic for this test. Then the script executes the stored procedure. Notice the syntax of **GO 25**. This is a client tool tip that says to run the batch 25 times (avoids having to construct a loop).\n",
"\n",
"When you click Play to run the script look for these messages on the total elapsted time (your time may vary)\n",
"\n",
"```\n",
"Beginning execution loop\n",
"Batch execution completed 25 times...\n",
"Total execution time: 00:00:40.3520665\n",
"```"
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"USE master\r\n",
"GO\r\n",
"ALTER DATABASE wideworldimporters SET compatibility_level = 130\r\n",
"GO\r\n",
"USE WideWorldImporters\r\n",
"GO\r\n",
"SET NOCOUNT ON\r\n",
"GO\r\n",
"EXEC [Sales].[CustomerProfits]\r\n",
"GO 25\r\n",
"SET NOCOUNT OFF\r\n",
"GO"
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"## Step 3 - Run the stored procedure with database compatibility of 150\n",
"\n",
"Now let's run the same exact test but with database compatibility of 150. You will not make any changes to the stored procedure.\n",
"\n",
"The script should execute far faster than before. \n",
"\n",
"When you click Play to run the script look for these messages on the total elapsted time (your time may vary)\n",
"\n",
"```\n",
"Beginning execution loop\n",
"Batch execution completed 25 times...\n",
"Total execution time: 00:00:10.9975239\n",
"```"
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"GO\r\n",
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"GO\r\n",
"USE WideWorldImporters\r\n",
"GO\r\n",
"SET NOCOUNT ON\r\n",
"GO\r\n",
"EXEC [Sales].[CustomerProfits]\r\n",
"GO 25\r\n",
"SET NOCOUNT OFF\r\n",
"GO"
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"Compare the total execution time with a compat level of 130 vs 150. Now that we've (hopefully) seen the performance is substantially better on SQL 2019, it's time to analyze why so WWI can learn how to optimize their queries. To complete this exercise, use Query Store to evaluate the different queries. What is different about the execution plans? What accounts for the difference?"
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