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Calculates the difference in years. DateDiff subtracts the year portion of the first date from the year portion of the second date, so DateDiff("yyyy", #31 DEC 2002#, #01 JAN 2003#) returns 1. Calculates the difference in quarters. If the two dates are in the same calendar quarter, the result is 0. Calculates the difference in months. DateDiff subtracts the month portion of the first date from the month portion of this second date, so DateDiff("m", #31 DEC 2002#, #01 JAN 2003#) returns 1. Calculates the difference in days. DateDiff handles this option the same as "d" below. (For other functions, this extracts the day of the year.) Calculates the difference in days. Calculates the difference in weeks based on the day of the week of <date1>. If, for example, the day of the week of the first date is a Tuesday, DateDiff counts the number of Tuesdays between the first date and the second date. For example, April 30, 2003, is a Wednesday, and May 5, 2003, is a Monday, so DateDiff("w", #30 APR 2003#, #05 MAY 2003#) returns 0. Calculates the difference in weeks. When the first day of week is Sunday (the default), DateDiff counts the number of Sundays greater than the first date and less than or equal to the second date. For example, April 30, 2003, is a Wednesday, and May 5, 2003, is a Monday, so DateDiff("ww", #30 APR 2003#, #05 MAY 2003#) returns 1. Calculates the difference in hours. Calculates the difference in minutes. Calculates the difference in seconds.

"yyyy"

var books = dataContext.GetTable<Book>(); var query = from book in books where book.Price < 30 select book;

"q" "m"

Isolation Although transactional file operations are opt-in, just like the transactional registry (TxR) operations described in 4, TxF has an impact on regular applications that are not transaction-aware because it ensures that the transactional operations are isolated. For example, if an antivirus program is scanning a file that s currently being modified by another application via a transacted operation, TxF must make sure that the scanner reads the pretransaction data, while applications that access the file within the transaction work with the modified data. This model is called read-committed isolation.

"y" "d" "w"

"ww"

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The object-based query we started with fetched all rows from the database. When using LINQ to SQL, we re able to translate the filtering clause into a parameterized query that is executed on the server, limiting the results to rows that meet our criteria.

"h" "n" "s"

The second way to calculate the number of days is to simply subtract one date from the other. Remember that the integer portion of a Date/Time data type is number of days. If you re sure that the fields do not contain any time value, subtract the check-in date from the check-out date to find the number of days. Let s see how this works in the sample database.

Creating and Working with Simple Queries Open the HousingDataCopy.mdb database and start a new query on tblReservations. Add EmployeeNumber, FacilityID, RoomNumber, CheckInDate, CheckOutDate, and TotalCharge to the query design grid. You need to enter your expression in a blank column on the Field row. Using DateDiff, start the expression by entering:

DateDiff("d", [CheckInDate], [CheckOutDate])

Additionally, by using parameterized queries, we solve a couple of common issues. First, one of the biggest security vulnerabilities is the ability to inject functionality into a query (like dropping a table).1 One of the easiest ways to thwart this kind of vulnerability, called a SQL injection attack, is to use parameterized queries or stored procedures. Another advantage of using parameterized queries is the fact that we can take advantage of SQL Server s query plan caching. By reusing queries where the only change is the input parameters, SQL Server can determine an appropriate execution plan and cache it for later use. On subsequent requests, the server will use the cached plan rather than reevaluating the expression. If we concatenated the request SQL, the server would need to parse the expression each time to determine the most efficient execution plan based on the indexes available. Some SQL filtering options do not have a direct translation to keywords in the .NET Framework. In many cases, there is an alternative that performs the same or similar function. When it can, LINQ will translate the function call to the SQL equivalent. Let s consider the SQL LIKE clause. LIKE finds records based on a patternmatching scheme. Instead, the String type has three methods that serve the same function StartsWith, EndsWith, and Contains. LINQ to SQL has been designed to map these functions to the LIKE expression using the SqlMethods.Like method and inserts the wildcard matching pattern as appropriate. Thus in order to find all books containing the string "on", we use the LINQ expression shown in listing 6.11.

To calculate the number of days by subtracting, the expression is:

[CheckOutDate] - [CheckInDate]

To calculate the amount owed at the daily rate, multiply either of the previous expressions by the DailyRate field. With DateDiff, the final expression is:

DateDiff("d", [CheckInDate], [CheckOutDate]) * [DailyRate]

var books = dataContext.GetTable<Book>(); var query = from book in books where book.Title.Contains("on") select book.Title;

If you want to use subtraction, you must enter:

([CheckOutDate] - [CheckInDate]) * [DailyRate]

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