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Listing 3-4. Modernized Sample Code with Command-Line Arguments ! ! Simple program to print a certain number of values ! in the Fibonacci sequence. ! ! Lifted the F(I) routine from: ! ! http://cubbi.org/serious/fibonacci/fortran.html ! ! Added command-line arg parsing, corrected fib ! value sequence in F SUBROUTINE to begin with 0, etc. ! ! NOTE: This code uses the intrinsic functions/subroutines ! iargc() and getarg() for command-line parsing. ! ! - wvh ! PROGRAM MAIN integer i integer iargc integer numarg character ( len = 80 ) arg numarg = iargc ( ) if (numarg .ne. 0) then call getarg ( 1, arg ) read(arg,*) j DO 100, K=0,j-1 i = k call f(i) print *,i 100 continue else print *,'Usage: fib_cmdline num-of-sequence-values-to-print' end if END PROGRAM ! ! Subroutine F(I) calculates the I'th Fibonacci number ! It uses ALGORITHM 2A-3: DATA STRUCTURE - SIMPLE LIST ! SUBROUTINE F(I) DIMENSION A(I+1) A(1)=0; A(2)=1 DO 1, J=3,I+1 A(J)=A(J-1)+A(J-2) 1 CONTINUE I=A(I+1) RETURN END SUBROUTINE Note that this program uses the same F(I) subroutine, but that the main section of the program has been rewritten to use the iargc() and getarg() extensions. The iargc() extension is a function that returns the number of command-line arguments provided when the program is executed. The code in Listing 3-4 also uses the getarg() extension to return the first command-line argument as a

If I have a very large query in a stored procedure that is taking too long to execute, I ll usually try breaking that query down into smaller intermediate result sets This usually results in a significantly faster generation of the final desired result set..

character scalar, and uses the standard Fortran write command to convert this from a sequence of characters to an integer. Fortran classicists will also notice that every possible liberty has been taken with the code, mixing both uppercase and lowercase variable names and subroutine calls to highlight the caseinsensitive nature of gfortran. This program compiles cleanly using the following command: $ gfortran -o fib_cmdline fib_cmdline.f90 Running this command with no arguments provides the following output: $ ./fib_cmdline

Use ORDER BY only if you need ordered results Sorting operations of larger result sets can incur additional overhead If it isn t necessary for your query, remove it Beware of testing in a vacuum When developing your database on a test SQL Server instance, it is very important that you populate the tables with a representative data set This means that you should populate the table with the estimated number of rows you would actually see in production, as well as a representative set of values Don t use dummy data in your development database and then expect the query to execute with similar performance in production SQL Server performance is highly dependent on indexes and statistics, and SQL Server will make decisions based on the actual values contained within a table.

If your test data isn t representative of real life data, you ll be in for a surprise when queries in production don t perform as you saw them perform on the test database I pushed this point hard in 10, and I think it is worth repeating here Stored procedures can often yield excellent performance gains over regular ad hoc query calls Stored procedures also promote query execution stability (reusing existing query execution plans) If you have a query that executes with unpredictable durations, consider encapsulating the query in a stored procedure When reading about SQL Server performance tuning (like you are now), be careful about the words never and always Instead, get comfortable with the answer it depends When it comes to query-tuning, results may vary There are certainly many good and bad practices to be aware of, but performance tuning is both art and science.