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This book is structured in two halves: s 2 to 10 deal with the F# language and basic techniques and libraries associated with the .NET Framework. s 11 to 19 deal with applied techniques ranging from building applications through to software engineering and design issues. Throughout this book we address both programming constructs and programming techniques. Our approach is driven by examples: we show code, and then we explain it. Frequently we give reference material describing the constructs used in the code and related constructs you might use in similar programming tasks. We ve found that an example-driven approach helps bring out the essence of a language and how the language constructs work together. You can find a complete syntax guide in the appendix, and we encourage you to reference this while reading the book. 2, Getting Started with F# and .NET, begins by introducing F# Interactive, a tool you can use to interactively evaluate F# expressions and declarations and that we encourage you to use while reading this book. In this chapter you will use F# Interactive to explore some basic F# and .NET constructs, and we introduce many concepts that are described in more detail in later chapters.

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individual tiers and the individual layers, the wrong choices for marshaling can impair your scalability on the one hand, and/or impair your dependability and availability on the other. The perils and importance of these decisions provide a fine segue into Microsoft s next generation messaging stack: Windows Communication Foundation (formerly known as Indigo). Windows Communication Foundation s design goal is to unify the call stack that s used whenever out-of-process communication occurs, be it across application domains, inter-process, across machine boundaries, or across the world. In Part 3, we move to the final critical tier of our application: the data access layer. This is where all the real action resides, where all the bits people actually want to see are housed, where even the nontechnical business users in your enterprise know the heart of the business lies. This is your critical resource in a distributed application, as it is the transactional nerve center of the enterprise. This is also the layer of a distributed application that tends to get the most reuse. Once you write something down, people tend to want to get to it. The decisions you make in this part of your architecture will make or break your suite of applications. ADO.NET exposes the data access object model in .NET. We ll examine the ins and outs of using these managed providers of data access, how to pick the right tool for the job, and how to employ best practices when using them. We ll also survey other data access services in .NET, and get a sneak peak at the next generation database server: SQL Server 2005.

Note According to the documentation, in case of a downgrade, the driver should issue a SQLWarning

3, Introducing Functional Programming, focuses on the basic constructs of typed functional programming, including arithmetic and string primitives, type inference, tuples, lists, options, function values, aggregate operators, recursive functions, function pipelines, function compositions, pattern matching, sequences, and some simple examples of type definitions 4, Introducing Imperative Programming, introduces the basic constructs used for imperative programming in F# Although the use of imperative programming is often minimized with F#, it is used heavily in some programming tasks such as scripting You will learn about loops, arrays, mutability mutable records, locals and reference cells, the imperative NET collections, exceptions, and the basics of NET I/O 5, Mastering Types and Generics, covers types in more depth, especially the more advanced topics of generic type variables and subtyping You will learn techniques you can use to make your code generic and how to understand and clarify type error messages reported by the F# compiler.

on the statement object with information on the reason the downgrade occurred. However, this did not work during my tests. A simple workaround is to always check the type and concurrency type at the ResultSet level.

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