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There is something somewhat magical about this; you have been able to build a layer that has automatically done the impedance matching between the untyped world of a text file format into the typed world of F# programming Amazingly, the SchemaReader type itself is only about 50 lines of code The comments in Listing 9-10 show the basic steps being performed The essential features of this technique are as follows: 1 The schema information is passed to the SchemaReader as a type variable The SchemaReader then uses the typeof operator to extract a SystemType representation of the schema type 2 The information needed to drive the transformation process comes from custom attributes Extra information could also be supplied to the constructor of the SchemaReader type if necessary 3.

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ways to put obscure concurrency bugs in your program. The MSDN website has a good description of why Thread.Abort may not even succeed. One of the only compelling uses for Thread.Abort is to implement Ctrl+C in an interactive development environment for a general-purpose language such as F# Interactive.

meaning, layout, and use of the various internal data representations. The only way to overcome this is through familiarity. I encourage you to visit and read the documentation (MySQL reference and system internals manuals) and articles on the MySQL web site, blogs, and message forums. They are a wealth of information. While some are difficult to absorb the concepts presented become clearer with each reading. Resist the temptation to become frustrated with the documentation. Give it a rest, then go back later and read it again. I find nuggets of useful information every time I (re)read the technical material.

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Many multithreaded applications use mutable data structures shared between multiple threads. Without synchronization, these data structures will almost certainly become corrupt: threads may read data that has been only partially updated (because not all mutations are atomic), or two threads may write to the same data simultaneously (a race condition). Mutable data structures are usually protected by locks, although lock-free mutable data structures are also possible. Shared-memory concurrency is a difficult and complicated topic, and a considerable amount of good material on .NET shared-memory concurrency is available on the Web. All this material applies to F# when you re programming with mutable data structures such as reference cells, arrays, and hash tables and the data structures can be accessed from multiple threads simultaneously. F# mutable data structures map to .NET memory in fairly predictable ways; for example, mutable references become mutable fields in a .NET class, and mutable fields of word size can be assigned atomically.

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The let bindings of the SchemaReader type are effectively a form of precomputation (they can also be seen as a form of compilation)They precompute as much information as possible given the schema For example, the section analyzes the fields of the schema type and computes functions for creating objects of the field types It also computes the permutation from the text file columns to the record fields, using the type Microsoft FSharpCollectionsPermutation 4 The data objects are ultimately constructed using reflection functions, in this case a function computed by MicrosoftFSharpReflectionValueGetRecordConstructor or primitive values parsed using SystemInt32Parse and similar functions This and other functions for creating F# objects dynamically are in the MicrosoftFSharpReflection library Other functions for creating other NET objects dynamically are in the System Reflection library 5.

I built the database experiment project (DBXP) to allow you to explore the MySQL internals and to let you explore some alternative database system internal implementations. You can use this experiment to learn more about how database systems are constructed and how they work under the hood.

On modern microprocessors, multiple threads can see views of memory that aren t consistent; that is, not all writes are propagated to all threads immediately. The guarantees given are called a memory model and are usually expressed in terms of the ordering dependencies between instructions that read/write memory locations. This is, of course, deeply troubling, because you have to think about a huge number of possible reorderings of your code, and it s one of the main reasons why shared mutable data structures are difficult to work with. You can find further details on the .NET memory model at www.expert-fsharp.net/topics/MemoryModel.

The member bindings of SchemaReader interpret the residue of the precomputation stage, in this case using the information and computed functions to process the results of splitting the text of a line This technique has many potential applications and has been used for CSV file reading and database schema generation..

The DBXP is an experiment rather than a solution because it is incomplete. That is, the technologies are implemented with minimal error handling, a limited feature set, and low robustness.

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