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Other than the clause, the entire query expression including the clause, the clause, and the anonymous type is identical This fact is emphasized again in the next chapter, which discusses the unitive principle of LINQ development Despite the similar syntax, the LINQ to SQL example is, in fact, very different from the LINQ to Objects example In LINQ to Objects, the data is pulled from a collection in your program In LINQ to SQL, the entire query expression is converted into a SQL statement, and the statement is executed against a database that resides in a different process Finally, the data returned from the query is ferried between processes and is converted into object instances of the One of this book s primary goals is to explain exactly how LINQ to SQL works To fully understand that subject, you need to study lambdas, expression trees, and extension methods You also need to understand how and are implemented, and why they were implemented All of that lies before us This chapter s purpose, however, is simply to give you a working example of LINQ to SQL and to point out some of its most salient features If you now also nd yourself anticipating the unveiling of some of the secrets behind this fascinating technology, all the better I d like to close this section by showing you a simple program that I do not expect you to compile In Listing 23, you saw the declaration for the entity class and learned how it was mapped to a class in the database The average database in a line-of-business application might have more than 100 tables, and many of those tables might have as many as 20 or more elds Clearly, it would be a major undertaking to map each of those tables to handmade C# classes.

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server started for nil /clientrb:5: undefined method 'say_hi' for nil:NilClass (NoMethodError)

One core aspect of a relational database is that data in one entity can reference data in another entity When this scenario occurs, there is almost always a requirement that the relationship be maintained; the data must be consistent between the relevant entities This concept, referred to as referential integrity (RI), is usually enforced in the physical implementa-

far, the TVF-mapped method can be composed inside an expression tree that is translated into SQL only when the results are consumed Pressing the Enter key provides the following results As in the previous results, Customer entities beyond the rst one are elided in the following listing:

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Using Scalar-Valued Functions Scalar-valued functions return a single value, such as an integer, string, or Like their table-valued counterparts, scalar-valued functions are also free from side effects; hence, they can be composed into a SQL query Hence, LINQ to SQL also supports scalar-valued functions in LINQ queries Let s add the following scalar-valued function to a copy of the sample Northwind database using the steps described in the previous sections The returns the average price function for the given product category

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Oops! That certainly didn t have the outcome we expected In fact, it seemed to make matters worse This appears to be one of the biggest quirks with Starfish When you use the binary it comes with, it names the server after the filename So, in our example the server that is hosting our Hello World application is named serverrb, because that s what the file it was started on was called Because our client is called clientrb, it is searching for a server with that name, which doesn t exist So how do we solve this problem Well, we can rename clientrb to serverrb, but most file systems, at least the ones I know of, don t like to have two files in the same location named the same thing Plus, it would be weird to have a client named serverrb We ll just have to find a better way Here s how we fix it:

tion using database objects such as constraints and keys However, RI is documented in the logical model to ensure that business rules (as well as general data consistency) are followed within the database Suppose you are designing a database that stores information about the inventory of a library In the logical model, you might have an Author entity, a Publisher entity, and a Title entity, among many others Any given author may have more than one title in the inventory; in contrast, a title probably has been published by only one publisher, although one publisher may have published many titles If users need to remove an author, simply deleting that author would leave at least one title orphaned Similarly, deleting a publisher would leave at least one title orphaned Thus, you need to create definitions of the actions that are enforced when these updates occur Referential integrity provides these definitions With RI in place, you can specify that when an author is deleted, all related titles are also deleted You could also specify that the addition of a title fails when there is no corresponding author These might not be the most realistic examples, but they clearly illustrate the need to handle the interrelation between data in multiple entities You document referential integrity in the logical model via PK and FK relationships Because each entity should have a key attribute that uniquely identifies each record the entity contains, you can relate key attributes in parent and child entities based on those keys For example, take a look at Figure 21

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