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

Before we tackle the problem of representing hardware using propositional logic, we first show you some naive approaches for working with propositional logic formulae. Listing 12-14 shows

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Take a look at what happens when you move the data to the client First, you ll pull that data access out into a helper method, centralizing the command and caching logic (see SortIEaspx in Web10) private DataSet GetAuthors() { DataSet ds; ds = (DataSet)Cache["AuthorData"]; if (ds == null) { ds = new DataSet(); SqlConnection cn = new SqlConnection ("server=;database=pubs;uid=sa;pwd=123123"); SqlCommand cm = new SqlCommand("select * from authors", cn); new SqlDataAdapter(cm)Fill(ds); CacheInsert("AuthorData", ds); } return ds; }.

In this chapter, you ll learn how to materialize Oracle objects as weakly typed objects in Java. A weakly typed object refers to a Java object that represents objects using an array of attributes.

routines that evaluate formulae given an assignment of variables and that generate the rows of a truth table for a Prop formula. Listing 12-14. Evaluating Propositional Logic Formulae let rec eval (env : Map<Var,bool>) inp = match inp with | Exists(v,p) -> eval (env.Add(v,false)) p || eval (env.Add(v,true)) p | And(p1,p2) -> eval env p1 && eval env p2 | Var(v) -> if env.ContainsKey(v) then env.[v] else failwithf "env didn't contain a value for %A" v | Not(p) -> not (eval env p) | False -> false let rec support f match f with | And(x,y) | Exists(v,p) | Var(p) | Not(x) | False = -> -> -> -> -> Set.union (support x) (support y) (support p).Remove(v) Set.singleton p support x Set.empty

Then you ll modify BindGrid to use the cached data from the DataSet instead of a data reader. You ll use the construction semantics of the DataView to apply the sort the user has requested (see SortIE.aspx in Web10). private void BindGrid(string sortExpr) { gvAuthors.DataSource = new DataView( GetAuthors().Tables[0], "", sortExpr, DataViewRowState.CurrentRows); gvAuthors.DataBind(); } This method yields an average of about 126 requests per second, but from the chart displayed in Figure 10-3, you can see this processing is really erratic. The server can handle about 145 requests per second; there are just consistent drops in the processing.

Here, you ll learn how to materialize objects as strongly typed objects in Java. A strongly typed object refers to an object belonging to a custom Java class specifically created to represent a given database object type in Java. Along the way, you ll learn how to use the JPublisher utility to generate custom classes representing Oracle objects.

let rec cases supp = seq { match supp with | [] -> yield Map.empty | v::rest -> yield! rest |> cases |> Seq.map (Map.add v false) yield! rest |> cases |> Seq.map (Map.add v true) } let truthTable x = x |> support |> Set.to_list |> cases |> Seq.map (fun env -> env,eval env x) let satisfiable x = x |> truthTable |> Seq.exists(fun (env,res) -> res) let tautology x = x |> truthTable |> Seq.for_all (fun (env,res) -> res) let tautologyWithCounterExample x = x |> truthTable |> Seq.tryfind (fun (env,res) -> not res) |> Option.map fst let printCounterExample = (function None -> printfn "tautology verified OK" | Some env -> printfn "tautology failed on %A" (Seq.to_list env)) The types of these functions are as follows:

This chapter explains how to retrieve the collections in Oracle as either a weakly typed or strongly typed array of custom class objects (generated using the JPublisher utility). You ll critically examine some of the performance extensions Oracle provides you with, and you ll also study suitable benchmarks evaluating the effectiveness of these extensions. You ll then move on to learn about references, and how to access and manipulate them using JDBC.