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CHAPTER 6 MANIPULATING DATA
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INSERT INTO dbo.demoTRANSACTION (col1) VALUES (2); 2. Switch to window 2, and run this code: USE AdventureWorksLT2008; GO SELECT col1 FROM dbo.demoTransaction; 3. At this point, you will see nothing returned from the code from step 2 as it continues to execute. Switch to window 1, and run this code: COMMIT TRAN 4. Switch back to window 2 to view the results.
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Once you committed the transaction in step 3, the SELECT statement in window 2 could complete. To learn more about locks, transactions, and isolation levels, read the book SQL Server 2008 Transact-SQL Recipes by Joseph Sack (Apress, 2008). You will learn how to add conditional logic to your transactions in 7. For now, practice what you have learned by completing Exercise 6-4.
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Exercise 6-4
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Use the AdventureWorksLT2008 database to complete this exercise. Run the following script to create a table for this exercise. You can find the solutions in the appendix.
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IF OBJECT_ID('dbo.Demo') IS NOT NULL BEGIN DROP TABLE dbo.Demo; END; GO CREATE TABLE dbo.Demo(ID INT PRIMARY KEY, Name VARCHAR(25));
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1. Write a transaction that includes two INSERT statements to add two rows to the dbo.Demo table. 2. Write a transaction that includes two INSERT statements to add two more rows to the dbo.Demo table. Attempt to insert a letter instead of a number into the ID column in one of the statements. Select the data from the dbo.Demo table to see which rows made it to the table.
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Thinking About Performance
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SQL Server performs best when working on sets of data instead of one row at a time. Often developers write code that loops through a record set and performs an update or insert for each pass through the loop. The example code in Listing 6-19 demonstrates the difference in performance between the two techniques. Download and run the code from this book s page on http://www.apress.com. You may need to stop the code execution after a few minutes.
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Listing 6-19. The Difference Between the Set-Based and Iterative Approaches USE AdventureWorks2008; GO --Create a work table IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(N'[dbo].[demoPerformance]') AND type in (N'U')) DROP TABLE [dbo].[demoPerformance]; GO CREATE TABLE [dbo].[demoPerformance]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, CONSTRAINT [PK_demoPerformance] PRIMARY KEY CLUSTERED ( [SalesOrderID] ASC, [SalesOrderDetailID] ASC )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] ) ON [PRIMARY]
GO PRINT 'Insert all rows start'; PRINT getdate(); --Insert all rows from the Sales.SalesOrderDetail table at once INSERT INTO dbo.demoPerformance(SalesOrderID, SalesOrderDetailID) SELECT SalesOrderID, SalesOrderDetailID FROM Sales.SalesOrderDetail; PRINT 'Insert all rows end'; PRINT getdate(); --Remove all rows from the first insert TRUNCATE TABLE [dbo].[demoPerformance]; PRINT 'Insert rows one at a time begin'; PRINT getdate();
CHAPTER 6 MANIPULATING DATA
--Set up a loop to insert one row at a time WHILE EXISTS( SELECT * FROM Sales.SalesOrderDetail AS d LEFT JOIN dbo.demoPerformance AS p ON d.SalesOrderID = p.SalesOrderID AND d.SalesOrderDetailID = p.SalesOrderDetailID WHERE p.SalesOrderID IS NULL) BEGIN
INSERT INTO dbo.demoPerformance (SalesOrderID,SalesOrderDetailID) SELECT TOP 1 d.SalesOrderID, d.SalesOrderDetailID FROM Sales.SalesOrderDetail AS d LEFT JOIN dbo.demoPerformance AS p ON d.SalesOrderID = p.SalesOrderID AND d.SalesOrderDetailID = p.SalesOrderDetailID WHERE p.SalesOrderID IS NULL; END PRINT 'Insert rows one at a time end'; PRINT getdate(); After the code executes or you stop execution after a few minutes, click the Messages tab to see the results (Figure 6-19). Run this statement to see how many rows were actually inserted from the loop: USE AdventureWorks2008; GO SELECT COUNT(*) FROM dbo.demoPerformance; The loop inserted only 10,000 rows for me in almost 4 minutes! The first INSERT statement, inserting more than a million rows, took less than a second to run.
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