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

It calls to question, What s out there When do I use it How does it work Distributed applications are also complex A layered architecture results in an application with a lot of moving parts Simply displaying a data point within a web browser can involve using an object graph with dozens of instances, a call stack that s easily five layers deep, code involving markup, one or more managed languages, Structured Query Language (SQL), and maybe even a proprietary database language such as Transact SQL (TSQL) The path of this stack may span processes, machines within a LAN, platforms and operating systems, and maybe even several LANs As the architect, you have the task of designing the path of these requests and the rules of interaction for each step of the way You ll need to consider more than the business-based, functional requirements.

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If you specify, for example, an updatable ResultSet, but the JDBC driver cannot fulfill this request due to the nature of the query, then the result set type will be silently downgraded to the nearest equivalent. These downgrade rules are as follows: If the specified result set type is TYPE_SCROLL_SENSITIVE, but the JDBC driver cannot fulfill that request, then the driver attempts a downgrade to TYPE_SCROLL_INSENSITIVE. If the specified (or downgraded) result set type is TYPE_SCROLL_INSENSITIVE, but the JDBC driver cannot fulfill that request, then the driver attempts a downgrade to TYPE_FORWARD_ONLY. If the specified (or downgraded) concurrency type is CONCUR_UPDATABLE, but the JDBC driver cannot fulfill that request, then the driver attempts a downgrade to CONCUR_READ_ONLY.

Computation expressions are the F# equivalent of monadic syntax in the programming language Haskell Monads are a powerful and expressive design pattern and are characterized by a generic type M<'a> combined with at least two operations: bind : M<'a> -> ('a -> M<'b>) -> M<'b> return : 'a -> M<'a> These correspond to the primitives let! and return in the F# computation expression syntax Several other elements of the computation expression syntax can be implemented in terms of these primitives, though the F# de-sugaring process leaves this up to the implementer of the workflow, since sometimes derived operations can have more efficient implementations Well-behaved monads should satisfy three important rules called the monad laws You can find out more about these at http://wwwexpert-fsharpcom/Topics/ Workflows F# uses the terms computation expression and workflow for three reasons.

Prior to running the SQL*Plus code examples in this book, the script issues the set echo on command: SQL> set echo on The effect of this on SQL*Plus output can be explained by the following simple example. Suppose we are running a script, demo_echo_option.sql, the contents of which are as follows: set echo on drop table t1; create table t1 ( x number, y varchar2(30), z date ); The output of the preceding script when executed as the user SCOTT looks like this: scott@ORA10G> set echo on scott@ORA10G> drop table t1; Table dropped. scott@ORA10G> create table t1 2 ( 3 x number, 4 y varchar2(30), 5 z date 6 ); Table created.

When you re designing the architecture, functional requirements may be relevant, but they re usually secondary to other application requirements, which aren t captured in the Use Cases You ll also need to address a multitude of questions: What are the scalability requirements for the application How available must the application be, and how will someone know when it s down Is it customizable, and if so, when and by whom Is it easy to deploy, upgrade, and maintain over time Are there development cost constraints What connectivity mechanisms will it employ (ie, will users be fully connected, be partially connected/mobile, use PDAs, etc).