ASP.NET PDF Viewer using C#, VB/NET

The tool fsyacc generates LALR(1) parsers, which are a special subset of LR(1) parsers where the state table is compressed by merging similar states. This in practice does not limit the languages that can be parsed, but it does result in significant savings over the parse table size. The generated parser automaton performs one of four distinct operations in any state based on the look-ahead token, and these are important to understand if you have various grammar conflicts to fix. It can shift the look-ahead (always a terminal symbol) to its stack, reduce a number of stack entries by a grammar rule leaving the head symbol in their place, accept the input as syntactically correct, or reject in the opposite case. Parsing proceeds until an accept or a reject state is reached.

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The Place code in separate file check box lets you choose between the code-behind model and putting code inline with your markup within server-side script elements. Probably the single biggest improvement in this whole arena is the addition of IntelliSense support to script blocks within the integrated development environment (IDE), shown in Figure 3-4.

The sql_trace facility is used to trace all SQL activity of a specified database session or instance down to a trace file in the database server operating system. Each entry in the trace file records a specific operation performed while the Oracle server process is processing a SQL statement. sql_trace was originally intended for debugging, and it s still well suited for that purpose, but it can just as easily be used to analyze the SQL activity of the database for tuning purposes.

We ll first show how to develop a parser for a simple programming language. A sample fragment of the BASIC-like language we want to parse is shown here: a := 1; b := 0; if a then d := 20 + 20; if b then d := 40 * 20 + 20; print d; while d do begin d := d + 1; print d end; print d For simplicity we will call this language Kitty. As the previous example shows, Kitty supports naming values, printing values, basic arithmetic operators, and a while and conditional construct. The Ast module (shown in Listing 16-5) defines the internal representation for Kitty programs. Listing 16-5. kittyAst.fs: Defining the AST for Kitty Programs type expr = | Val | Int | Plus | Minus | Times

Setting Up sql_trace sql_trace can be enabled for either a single session or a whole database instance It is, however, rarely enabled at a database level, because that would cause serious performance problems Remember that sql_trace writes down every SQL statement processed down to a log file, with accompanying input/output (I/O) activity To enable tracing for the current session, issue alter session, as shown here: SQL> alter session set sql_trace=true; Enable tracing for a session at a selected interval and avoid having tracing in effect for long periods of time To disable the current trace operation, execute the following: SQL> alter session set sql_trace=false; In this book, I use the following command to set SQL tracing; this gives the maximum level of tracing output You can read more about it in Cary Millsap s article at http://wwworaclecom/technology/oramag/oracle/04-jan/o14tech_perfhtml.

Figure 3-4. IntelliSense using inline code with Visual Studio .NET 2005 The inline coding model (and Web Matrix) is severely limiting with its lack of support for IntelliSense, especially once you become used to this feature. In Visual Studio .NET 2005, using inline code is now a viable option. There still are some real benefits to separating code from content, especially in a team development environment where there are web designers and a source control system present. But the inline code model is certainly easier to use in VS .NET 2K5. So how does the markup in the ASPX file become a class at runtime And how does the work that is done in the code-behind the page manifest in that markup

Listing 16-6 shows a lexer for the language in the file kittyLexer.fsl. It is similar to lexers developed earlier in this chapter. The one exception is that we use a keyword table. Matching against lexemes to identify tokens is a sensible solution only if there are relatively few cases. Tokenizing a large set of keywords and operators using explicit rules can lead to large lexers. This situation is often handled using tables that contain the possible lexeme matches and the tokens to be returned. Listing 16-6 uses simple dictionaries (maps).