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The diff command compares two files, returns the line(s) that are different, and tells you how to make the files the same. Here s an example: $ diff test.one test.two 0a1 > New Test. This diff command output tells you that if you add the line New Test. to the test.one file, you can make it identical to the test.two file. The first character, 0, is the line number to edit in test.one; the a indicates that the line should be added to test.one to match the first line, 1, of test.two.

There are two main types of variables in a UNIX or Linux system: user-created variables and shell variables. Let s briefly look at how you use both kinds of variables.

A user can create a variable and initialize it by providing a value for it. The variable name must consist of letters and numbers, and it must start with a letter. You can also use the export command to export variables, so that any shell you create in your current session can make use of your variables. Here s an example of a user-created variable (note how echoing the variable itself prints just the variable, not its value to show the variable s value, you must precede the variable s name with the $ sign in your echo command): $ database=nicko $ echo database database $ echo $database nicko $ In this example, I first created a new variable called database and assigned it the value of nicko. I then used the echo command to print the value of the database variable, and the echo command just prints the string database . The second time I used the echo command, I added the dollar sign ($) in front of the name of the variable ($database). When I did this, the value of the variable database was shown as nicko. To remove the value of the database variable, simply set it to null, as shown here: $ database= $ echo $database $

Agha, Gul, ACTORS: A Model of Concurrent Computation in Distributed Systems (Cambridge, MA: The MIT Press, 1986). Alexander, Christopher, The Timeless Way of Building (New York: Oxford University Press, 1979). Alexander, Christopher, Sara Ishikawa, and Murray Silverstein, A Pattern Language: Towns, Buildings, Construction (New York: Oxford University Press, 1977). Allen, Robert and David Garlan, A Formal Basis for Architectural Connection, ACM Transactions on Software Engineering and Methodology, July 1997. Allen, Robert and David Garlan, Formalizing Architectural Connection (proceedings of the 16th International Conference on Software Engineering, Sorrento, Italy, May 1994). Arnold, Matthew, Michael Hind, and Barbara Ryder, An Empirical Study of Adaptive Optimization (proceedings of the 13th International Workshop on Languages and Compilers for Parallel Computing, Yorktown Heights, NY, August 2000). Bacon, Jean, Ken Moody, John Bates, Richard Hayton, Chaoying Ma, Andrew McNeil, Oliver Seidel, and Mark Spiteri, Generic Support for Distributed Applications, IEEE Computer, March 2000. Bala, Vasanth, Evelyn Duesterwald, and Sanjeev Banerjia, Dynamo: A Transparent Dynamic Optimization System (proceedings of the SIGPLAN 2000 Conference on Programming Language Design and Implementation, Vancouver, British Columbia, Canada, June 2000). Banerjee, Suman, Bobby Bhattacharjee, and Christopher Kommareddy, P2P and Multicast session, Scalable Application Layer Multicast (proceedings of the 2002 conference on Applications, Technologies, Architectures, and Protocols for Computer Communications, Pittsburgh, August 2002). Barrett, Daniel J., Lori A. Clarke, Peri L. Tarr, and Alexander E. Wise, A Framework for EventBased Software Integration, ACM Transactions on Software Engineering and Methodology, October 1996. Bergstra, Jan A. and Paul Klint, The Discrete Time ToolBus: A Software Coordination Architecture, Science of Computer Programming, July 1998. Berners-Lee, Tim, Roy Fielding, and Henrik Frystyk Nielsen, Hypertext Transfer Protocol -HTTP/1.0, www.w3.org/Protocols/rfc1945/rfc1945 (technical report, 1996). Birman, Kenneth P., The Process Group Approach to Reliable Distributed Computing, Communications of the ACM, December 1993.

You use the DBMS_FGA Oracle package to enable fine-grained auditing With FGA, you can audit only specific rows within a table You can simulate a trigger for statements by executing a user-written procedure when an audit condition is met You can catch employee misuse of data You can also use FGA as an intrusion-detection device You don t need to turn on database-wide auditing to use FGA, and since the auditing is based on table access, it is virtually impossible to bypass FGA policies FGA records are accessible through the DBA_FGA_AUDIT_TRAIL and DBA_COMMON_AUDIT_TRAIL views, with the latter view combining both standard and fine-grained audit log records You use the DBMS_FGA package s ADD_POLICY procedure to add a fine-grained audit policy Listing 12-17 shows the structure of the ADD_POLICY procedure Listing 12-17 The ADD_POLICY Procedure SQL> EXECUTE DBMS_FGA.