.NET/ASP.NET/C#/VB.NET PDF Document SDK

Note Hardware and software verification are highly active areas of research and one of the most important applications of symbolic programming techniques in the industrial arena. The verifications performed here aim to give you a taste of how symbolic techniques can prove nontrivial results about circuits in a matter of seconds. We ve omitted some simple techniques that can make these verifications scale to very large circuits; for example, we expand equivalence nodes in propositional formulae. Preserving them can lead to smaller symbolic descriptions and more efficient processing with BDDs. You can find out more about the applications of F# and functional programming to verification problems at http://www.expert-fsharp.com/ Topics/Verification.

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// release JDBC-related resources in the finally clause. JDBCUtil.close( rset ); JDBCUtil.close( pstmt ); } } The method _demoCstmtFetchSize() is similar to the method _demoPstmtFetchSize(), except that here we set the fetch size at the CallableStatement level by invoking our procedure prefetch_pkg.get_details() (the setting of fetch size won t really work, as you ll see shortly). Note also that we create the SQL tag with the Connection level and CallableStatement-level fetch size information, and pass it to the PL/SQL procedure: private static void _demoCstmtFetchSize( Connection conn, int connLevelDefaultPrefetch, int stmtLevelFetchSize ) throws SQLException { System.out.println( "Inside _demoCstmtFetchSize" ); String sqlTag = "/*+" + "(CONN=" + connLevelDefaultPrefetch + ")" + "(CSTMT=" + stmtLevelFetchSize + ")" + "*/"; String stmtString = "{ call prefetch_pkg.get_details ( , , ) }"; CallableStatement cstmt = null; ResultSet rset = null; try { cstmt = conn.prepareCall( stmtString ); System.out.println( "\tDefault statement fetch size: " + cstmt.getFetchSize()); cstmt.setFetchSize( stmtLevelFetchSize ); System.out.println( "\tnew statement fetch size: " + cstmt.getFetchSize()); cstmt.setInt( 1, 100); // number of rows to be fetched cstmt.setString( 2, sqlTag ); cstmt.registerOutParameter( 3, OracleTypes.CURSOR ); // execute the query cstmt.execute(); rset = (ResultSet) cstmt.getObject( 3 ); System.out.println( "\tresult set fetch size: " + rset.getFetchSize()); System.out.println( "\tHowever, in case of callable statement, " + "the real fetch size for all result sets obtained from the statement" + " is the same as the one set at the connection level." ); int i=0; while (rset.next()) { i++; } System.out.println( "\tnumber of times in the loop: " + i ); }

Summary

Using the object view, we can directly materialize the rows of the underlying relational tables as an object. Let s look at some examples of this. The first example performs a select that returns all rows in our object view. Notice how the data inserted into the underlying relational tables is materialized as objects: benchmark@ORA10G> select * from components_or_view; COMPONENT_ID COMPONENT_NAME PARTS(COMPONENT_ID, PART_ID, PART_NAME, PART_DESC) -------------------------------------------------1 component1 PART_TYPE_TAB(PART_TYPE(1, 1,'part11','part 11 desc'), PART_TYPE(1, 2, 'part12', 'part 12 desc')) 2 component2 PART_TYPE_TAB(PART_TYPE(2, 3,'part21','part 21 desc'), PART_TYPE(2, 4, 'part22', 'part 22 desc'))

Another holdover from classic ASP While ResponseWrite should not be used anymore, there are actually many useful things that can be done with the type, such as setting the content type of the response, serializing binary data to the client, or creating cookies A few useful methods are available on this type that weren t available in classic ASP For example, there s a Transfer method exposed by this type that moves execution to a different page as ResponseRedirect did in classic ASP Unlike redirection, however, Transfer moves execution to another page without causing another round-trip to the client Stores user specific session information This object is actually not available through much of the pipeline, as part of the work done during pipeline processing is the restoration of session state.

In this chapter, you looked at two applications of language-oriented symbolic programming. The first was algebraic symbolic differentiation and visualization, where you learned how to differentiate, simplify, and display algebraic expressions. The second was hardware modeling and verification using propositional logic and binary decision diagrams, where you saw how to use symbolic techniques to describe circuits as propositional logic formulae and then used brute-force and/or binary decision diagram techniques to analyze these for correctness.