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CHAPTER 3 USING FUNCTIONS AND EXPRESSIONS
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Data Type Precedence
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When using operators, you must keep the data types of the values in mind. When performing an operation that involves two different data types, the expression will return values with the data type with the highest precedence if possible. What value can be rolled into the other value For example, an INT can be converted to a BIGINT, but not the other way around. In other words, if a value can be a valid INT, it is also a valid BIGINT. However, many valid BIGINT values are too big to be converted to INT. Therefore, when an operation is performed on a BIGINT and an INT, the result will be a BIGINT. It is not always possible to convert the lower precedence data type to the higher precedence data type. A character cannot always be converted to a numeric value. For a list of possible data types in order of precedence, see the article Data Type Precedence in SQL Server s help system, Books Online.
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So far, this chapter has covered using operators along with columns and literal values to create expressions. To get around issues concerning NULL values and incompatible data types within an expression, you were introduced to several functions: ISNULL, COALESCE, CAST, and CONVERT. This section covers many other built-in functions available with SQL Server 2008. The functions you will learn about in this chapter return a single value. The functions generally require one or more parameters. The data to be operated on can be a literal value, a column name, or the results of another function. This section covers functions to manipulate strings, dates, and numeric data. You will also learn about several system functions and how to nest one function within another function.
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You will find a very rich set of T-SQL functions for manipulating strings. You often have a choice of where a string will be manipulated. If the manipulation will occur on one of the columns in the selectlist, it might make sense to utilize the client to do the work if the manipulation is complex, but it is possible to do quite a bit of manipulation with T-SQL. You can use the string functions to clean up data before loading it into a database. This section covers many of the commonly used string functions. You can find many more in Books Online.
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RTRIM and LTRIM
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The RTRIM and LTRIM functions remove spaces from the right side (RTRIM) or left side (LTRIM) of a string. You may need to use these functions when working with fixed-length data types (CHAR and NCHAR) or to clean up flat-file data before it is loaded from a staging database into a data warehouse. The syntax is simple: RTRIM(<string>) LTRIM(<string>) Type in and execute the code in Listing 3-6. The data in the AdventureWorks2008 does not contain any extra spaces, so the first part of the code creates and populates a temporary table. Don t worry about understanding that part of the code at this point.
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CHAPTER 3 USING FUNCTIONS AND EXPRESSIONS
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Listing 3-6. Using RTRIM and LTRIM --Create the temp table CREATE TABLE #trimExample (COL1 VARCHAR(10)); GO --Populate the table INSERT INTO #trimExample (COL1) VALUES ('a'),('b '),(' c'),(' d '); --Select the values using the functions SELECT COL1, '*' + RTRIM(COL1) + '*' AS "RTRIM", '*' + LTRIM(COL1) + '*' AS "LTRIM" FROM #trimExample; --Clean up DROP TABLE #trimExample; Figure 3-6 shows the results of the code. The INSERT statement added four rows to the table with no spaces (a), spaces on the right (b), spaces on the left (c), and spaces on both (d). Inside the SELECT statement, you will see that asterisks surround the values to make it easier to see the spaces in the results. The RTRIM function removed the spaces from the right side; the LTRIM function removed the spaces from the left side. T-SQL does not contain a native function that removes the spaces from both sides of the string, but you will learn how to get around this problem in the section Nesting Functions later in the chapter.
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