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SQL Server MVP Erland Sommarskog said it best: dynamic SQL is a curse and a blessing. Put simply, dynamic SQL is a means of constructing SQL statements as strings in your server-side (or even client-side) applications and executing them dynamically, on the fly. When used properly, dynamic SQL can be used to generate complex queries at runtime, in some cases improve performance, and do tasks that just aren t possible (or are extremely difficult) in standard, nondynamic T-SQL. The downside is that there are numerous ways to shoot yourself in the foot with dynamic SQL. If not used properly, dynamic SQL can open up security holes in your system big enough to drive a truck through. Even as I began writing this book, I received a newsletter highlighting a recent spate of SQL injection attacks against over half a million web pages, including some United Nations owned web sites. In this section, I will discuss the various methods of executing dynamic SQL, as well as some of the risks and rewards that Erland alludes to.

ow we re talking No more messing around with containers and the like it s time for straightforward data manipulation! Now you will see the true power of the fully operational battle station that is SSIS The components available to the Data Flow design surface via the Toolbox form the ETL capabilities of SSIS: Extract: Data Flow sources Transform: Data Flow transformations Load: Data Flow destinations This chapter is all about data sources While they are an integral part of the Data Flow design, they do form the E in ETL and warrant a chapter of their own It s worth remembering that data staging is unnecessary as part of the Data Flow, because transformations are handled in memory You can still drop data into staging tables if you want to, but it s probably entirely unnecessary.

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The most basic form of server-side dynamic SQL is achieved by simply passing a SQL query or other instruction as a string to the EXECUTE statement (often abbreviated EXEC). The EXECUTE statement accepts a char, varchar, nchar, or nvarchar constant, variable, or expression that contains valid T-SQL statements. Listing 18-7 shows the most basic form of dynamic SQL with an EXECUTE statement and a string constant. Listing 18-7. Basic EXECUTE Statement EXECUTE (N'SELECT ProductID FROM Production.Product'); As you can see, there is no real advantage to performing dynamic SQL on a string constant. A simple SELECT statement without the EXECUTE would perform the same function and return the same result. The true power of dynamic SQL is that you can build a SQL statement or query dynamically and execute it. Listing 18-8 demonstrates how this can be done. Listing 18-8. More Complex Dynamic SQL Example DECLARE @min_product_id int = 500; DECLARE @sql_stmt nvarchar(128) = N'SELECT ProductID ' + N'FROM Production.Product ' + N'WHERE ProductID >= ' + CAST(@min_product_id AS nvarchar(10)); EXECUTE (@sql_stmt); Now that I ve given you this simple code sample, let s explore all the things that are wrong with it.

To define KPIs that will help in decision making, we ve found the following key principles to be good guidelines for whether a metric will be useful: The metric is specific. The metric is clearly owned by a given department or group. The metric is measurable. The metric can be produced in a timely manner.

In Listing 18 -9, the variable @sql_stmt contains the dynamic SQL query. The query is built dynamically by appending the minimum product ID to the WHERE clause. This is not the recommended method of performing this type of query, and I show it here to make a point.

By far the coolest part of using the Data Flow is that, after you use it for a short while, everything begins to click into place, make sense, and start to feel natural, almost organic The realization soon hits that there is probably an easier and more efficient method of getting the desired result, and within a breath the flow evolves Further glory comes when you execute the package and see task after task turn green in mere moments, even though many millions of rows are being processed by the pipelines Did I mention I m a big fan of SSIS Let s get into the thick of things by looking at the different kinds of default data sources SSIS provides As I introduce each data-source component in this chapter, I ll indicate the number of outputs available by default.

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