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First, when the designers of F# talked with the designers of Haskell about this, they agreed that the word monad is a bit obscure and sounds a little daunting and that using other names might be wise Second, there are some technical differences: for example, some F# workflows can be combined with imperative programming, utilizing the fact that workflows can have side effects not tracked by the F# type system In Haskell, all side-effecting operations must be lifted into the corresponding monad The Haskell approach has some important advantages: you can know for sure what side effects a function can have by looking at its type However, it also makes it more difficult to use external libraries from within a computation expression Third, F# workflows can be reified using F# quotations, giving a way to execute the workflow by alternative means, for example, by translation to SQL.

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Note in particular the SQL prompt (due to the login.sql script) and the fact that the line numbers are shown. You need to be familiar with the preceding form of output, as all SQL*Plus examples in this book use it.

This gives them a different role in practice, since they can be used to model both concrete languages and computational languages..

Many of the examples in this book draw on the emp/dept tables in the SCOTT schema. I recommend that you install your own copy of these tables in some account other than SCOTT to avoid side effects caused by other users using and modifying the same data. In Oracle9i and earlier, follow these steps to create the SCOTT demonstration tables in your own schema: 1. From the command line, run cd [ORACLE_HOME]/sqlplus/demo. 2. Log into SQL*Plus as the required user. 3. Run @demobld.sql. The demobld.sql script will create and populate five tables for you. When the script is complete, it exits SQL*Plus automatically, so don t be surprised when SQL*Plus disappears after running the script. If you would like to drop this schema at any time to clean up, simply execute [ORACLE_HOME]/sqlplus/demo/demodrop.sql. In 10g, you install the SCOTT schema by executing [ORACLE_HOME]/rdbms/admin/utlsampl.sql.

However, this did not solve the problem of interoperability With everyone writing their own SOAP stacks, interoperability could only be achieved between groups that had direct buy-in to the design What was needed was an industry-wide specification that could provide a standards-based approach of how to attain platform interoperability The standards bodies went to work And work And work And work It took so long for the W3C to come up with the standard for XML Schemas that Microsoft invented their own, called XML Schema Reduced (XDR) We ll ditch this when the W3C is done, and we ll support the standard, we swear! Right now, we just need to ship some product! When XML Schema was finally complete, Microsoft did adopt it They even provided migration tools to move from XDR to XML Schema, but as with all things that get adopted (think ODBC), XDR lingers.

Some of the code examples in this book have a user called BENCHMARK with the password BENCHMARK. You can install this user by executing the script cr_benchmark_user.sql in the directory code\mysqlscripts. You can find this script in the code download area for this book at http://www.apress.com. The content of the script follows. As you can see, the script also contains various grants and privileges used when I discuss concepts in different chapters, and also required by some utilities that we execute as the user BENCHMARK: create user benchmark identified by benchmark default tablespace users quota unlimited on users; grant create create create create create create create create create create any directory, session, table, view, synonym, materialized view, procedure, trigger, sequence, type to benchmark;

The errorEstimate function converts the input expression to a raw expression, which is an untyped abstract syntax representation of the expression designed for further processing. It then calls errorEstimateRaw. Traversals are generally much easier to perform using raw terms. The errorEstimateRaw function then checks that the expression given is a lambda expression, using the active pattern Lambda provided by the Microsoft.FSharp.Quotations.Raw module. The errorEstimateRaw function then calls the auxiliary function errorEstimateAux. This function keeps track of a mapping from variables to value/error estimate pairs. It recursively analyzes the expression looking for +, -, *, /, and abs operations. These are all overloaded operators, and hence called generic functions in F# terminology, so it uses the active pattern GenericTopDefnApp to detect applications of these operators. At each point it performs the appropriate error estimation. For variables, the environment map env is consulted. For constants, the error is zero. Two additional cases are covered in errorEstimateAux and errorEstimateRaw. The Let pattern allows you to include expressions of the form let x = e1 in e2 in the subset accepted by the quotation analyzer. The ResolvedTopDefnUse pattern case allows you to perform analyses on some function calls, as you ll see next.