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Limit the length of the inputs when possible For example, a user name or password should not be hundreds or thousands of characters long Such limitations are an effortless way to prevent many SQL injection attempts Note, though, that some hacking techniques rely on truncation of the inputs; for example, if you set a variable defined as NVARCHAR(128) with a value that is longer than 128 characters, SQL Server will truncate the input beyond the 128th character Such techniques and ways to block them are described in the article on SQL injection article in SQL Server Books Online Use stored procedures Stored procedures help by encapsulating input, type-checking it (good for integers and date inputs), allowing permissions settings, and so on Avoid using dynamic SQL when possible Static code is safe, especially if you write it yourself giving attention to security issues .

For example, I discussed techniques to split an array of elements into multiple rows using a static query in 2 You can create a function that accepts an array and invokes a static query that splits it into elements, returning a table with the different elements in separate rows You can then use this function, joining its result table with the data table to return the order attributes Such an implementation not only prevents SQL injection attacks, but it also reuses the same execution plan for multiple invocations of the code The current implementation of the stored procedure will produce a different execution plan for each unique input Imagine the performance effect of invoking such a stored procedure thousands of times a day You can use thousands of plans or one plan I provided the static function implementation in 2 .

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Also be careful with CLR routines, which could have dynamic SQL hidden in them When you need to quote inputs, don t do it explicitly Rather, use the QUOTENAME function for this purpose, or to be even safer, replace CHAR(39) with CHAR(39)+CHAR(39) QUOTENAME has some limitations, which you can read about in the SQL Injection article in SQL Server Books Online The function will double each explicit quote that a hacker specifies, practically ensuring that the input is treated as an input string argument and not as part of your code To demonstrate this, I ll use PRINT to return the code string that is generated In practice, there will be an EXEC or sp_executesql invocation The following code doesn t use the QUOTENAME function to quote the input value:.

DECLARE @lastname AS NVARCHAR(40), @sql AS NVARCHAR(200); SET @lastname = N'Davis'; SET @sql = N'SELECT * FROM HR.Employees WHERE lastname = N''' + @lastname + ''';'; PRINT @sql;

Shows a catalog containing a single product. The product information includes its name, SKU number, description, and price. Note that the document contains multiple price and description nodes, each of which is specific to a locale. Classifying XML technologies There are numerous derivative XML standards and technologies currently under development. These are not specific to Java, or any other implementation

I ll use simple T1 and T2 tables, which you create and populate by running the following code:

USE testdb; IF OBJECT_ID('dbo.T1', 'U') IS NOT NULL DROP TABLE dbo.T1; IF OBJECT_ID('dbo.T2', 'U') IS NOT NULL DROP TABLE dbo.T2; CREATE TABLE dbo.T1(col1 INT); INSERT INTO dbo.T1 VALUES(1); CREATE TABLE dbo.T2(col1 INT); INSERT INTO dbo.T2 VALUES(1);

We will look at two processes that access tables T1 and T2 . Those processes will always succeed individually, but will cause a deadlock if run concurrently, because they access T1 and T2 in opposite orders . First, examine the code in Listing 6-5, and for now, ignore the mention of the snapshot isolation level . Focus only on the deadlock treatment here .

language for that matter. They are being developed to make the use of XML easier, more standardized, and more manageable. The widespread adoption of many of them is critical to the success of XML and related standards. This section provides a brief overview of the most promising specifications in this area. Since it is impossible to provide exhaustive tutorials for each of these in this section, we recommend you visit http://www.zvon.org, a web site with excellent online tutorials for many of these technologies.

SET NOCOUNT ON; USE testdb; GO -- SET TRANSACTION ISOLATION LEVEL SNAPSHOT; SET LOCK_TIMEOUT 30000; DECLARE @retry AS INT, @i AS INT, @j AS INT, @maxretries AS INT; SELECT @retry = 1, @i = 0, @maxretries = 3; WHILE @retry = 1 AND @i <= @maxretries BEGIN SET @retry = 0; BEGIN TRY BEGIN TRAN SET @j = (SELECT SUM(col1) FROM dbo.T1); WAITFOR DELAY '00:00:05'; UPDATE dbo.T1 SET col1 += 1; WAITFOR DELAY '00:00:05'; SET @j = (SELECT SUM(col1) FROM dbo.T2); COMMIT TRAN PRINT 'Transaction completed successfully.'; END TRY BEGIN CATCH -- Lock timeout IF ERROR_NUMBER() = 1222 BEGIN PRINT 'Lock timeout detected.'; IF XACT_STATE() <> 0 ROLLBACK; END -- Deadlock / Update conflict

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