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As a DBA or developer, you sometimes need a Transact-SQL script to run against several objects within a database or against several databases across a SQL Server instance. Or perhaps you have a very large table with several columns, which you need to validate in search conditions, but you don t want to have to hand type each column. This next recipe offers a time-saving technique, using SELECT to write out Transact-SQL for you. You can adapt this recipe to all sorts of purposes. In this example, assume that you wish to check for rows in a table where all values are NULL. There are many columns in the table, and you want to avoid hand-coding them. Instead, you can create a script to do the work for you: SELECT column_name + ' IS NULL AND ' FROM INFORMATION_SCHEMA.columns WHERE table_name = 'Employee' ORDER BY ORDINAL_POSITION This returns code that you can integrate into a WHERE clause (after you remove the trailing AND at the last WHERE condition): ------------------------------EmployeeID IS NULL AND NationalIDNumber IS NULL AND ContactID IS NULL AND LoginID IS NULL AND ManagerID IS NULL AND Title IS NULL AND BirthDate IS NULL AND MaritalStatus IS NULL AND Gender IS NULL AND HireDate IS NULL AND SalariedFlag IS NULL AND VacationHours IS NULL AND SickLeaveHours IS NULL AND CurrentFlag IS NULL AND rowguid IS NULL AND ModifiedDate IS NULL AND (16 row(s) affected)

As mentioned earlier in this chapter in the section titled Verifying Software Requirements, you must have the GMP and MPFR libraries installed on your system or the configuration step will fail.

The example used string concatenation and the INFORMATION_SCHEMA.columns system view to generate a list of columns from the Employee table. For each column, IS NULL AND was concatenated to its name. The results can then be copied to the WHERE clause of a query, allowing you to query for rows where each column has a NULL value. This general technique of concatenating SQL commands to various system data columns can be used in numerous ways, including for creating scripts against tables or other database objects. Do be careful when scripting an action against multiple objects or databases make sure that the change is what you intended, and that you are fully aware of the script s outcome.

If you are building the GCC Java compiler but either do not want to rebuild the runtime libraries or wish to rely on some other Java runtime libraries, you can specify the --disable-libgcj option. One common use of --disable-libgcj is when you want to use the gcj compiler with another Java compiler s runtime libraries. (See https://www.redhat.com/magazine/012oct05/features/java/ and http:// lists.gnu.org/archive/html/classpath/2003-12/msg00120.html for information about doing this and other Java runtimes available for Linux.) You must use the GNU Java runtime to use other bindings that explicitly depend on it, such as the Java-GNOME bindings for Java.

Keep in mind that there are also several other requirements which can determine whether or not an index can be created on top of a view. The exhaustive list won t be rehashed in this chapter, so be sure to check out the complete requirements in SQL Server 2005 Books Online.

If you are compiling the Objective-C or Objective-C++ compilers, GCC 4.x provides support for a memory management policy implemented by the Boehm-Demers-Weiser conservative garbage collector. As mentioned in Table 11-2, this garbage collector is available in source form from http://www.hpl.hp.com/personal/Hans_Boehm/gc/ and must be built and installed before configuring GCC or compiling its Objective-C or Objective-C++ compilers. Once the garbage collector is built and installed, you can configure GCC to use it through the --enable-objc-gc option to the configure command. Specifying this option and building the Objective-C or Objective-C++ compilers will build an additional runtime library, libobjc_gc.a, which has several enhancements to support the garbage collector and has a new name so as not to conflict with the name of the default objective-C runtime library (libobjc.a).

The recipe begins by creating a new view with the SCHEMABINDING option: CREATE VIEW dbo.v_Product_Sales_By_LineTotal WITH SCHEMABINDING AS SELECT p.ProductID, p.Name ProductName, SUM(LineTotal) LineTotalByProduct, COUNT_BIG(*) LineItems FROM Sales.SalesOrderDetail s INNER JOIN Production.Product p ON s.ProductID = p.ProductID GROUP BY p.ProductID, p.Name GO Before creating an index, we ll demonstrate querying the regular view, returning the query I/O cost statistics using the SET STATISTICS IO command (see 28 for more info on this command): SET STATISTICS IO ON GO SELECT TOP 5 ProductName, LineTotalByProduct FROM v_Product_Sales_By_LineTotal ORDER BY LineTotalByProduct DESC This returns the following results: ProductName Mountain-200 Mountain-200 Mountain-200 Mountain-200 Mountain-200 LineTotalByProduct 4400592.800400 4009494.761841 3693678.025272 3438478.860423 3434256.941928

# # If a directory is specified and there is an action=commit, then the # metadata is committed and the images are moved to their destination, # with any conversion that might be needed # # If a directory is specified and there is an action=image, then the # full-sized image is returned This needs the filename for the image to # be provided as well This command also supports a rotate option as well # # If a directory is specified and there is an action=thumbnail, then a # small-sized image is returned This needs the filename for the image to # be provided as well This command also supports a rotate command If no arguments are specified, then a list of directories is displayed The user selects one of these directories, and a page of thumbnails and metadata is displayed.

Black, 38 Black, 42 Silver, 38 Silver, 42 Silver, 46