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(4) Schema Re nement: The fourth step in database design is to analyze the collection of relations in our relational database schema to identify potential problems, and to re ne it In contrast to the requirements analysis and conceptual design steps, which are essentially subjective, schema re nement can be guided by some elegant and powerful theory We discuss the theory of normalizing relations restructuring them to ensure some desirable properties in 15 (5) Physical Database Design: In this step we must consider typical expected workloads that our database must support and further re ne the database design to ensure that it meets desired performance criteria This step may simply involve building indexes on some tables and clustering some tables, or it may involve a substantial redesign of parts of the database schema obtained from the earlier design steps We discuss physical design and database tuning in 16 (6) Security Design: In this step, we identify di erent user groups and di erent roles played by various users (eg, the development team for a product, the customer support representatives, the product manager) For each role and user group, we must identify the parts of the database that they must be able to access and the parts of the database that they should not be allowed to access, and take steps to ensure that they can access only the necessary parts A DBMS provides several mechanisms to assist in this step, and we discuss this in 17 In general, our division of the design process into steps should be seen as a classi cation of the kinds of steps involved in design Realistically, although we might begin with the six step process outlined here, a complete database design will probably require a subsequent tuning phase in which all six kinds of design steps are interleaved and repeated until the design is satisfactory Further, we have omitted the important steps of implementing the database design, and designing and implementing the application layers that run on top of the DBMS In practice, of course, these additional steps can lead to a rethinking of the basic database design The concepts and techniques that underlie a relational DBMS are clearly useful to someone who wants to implement or maintain the internals of a database system However, it is important to recognize that serious users and DBAs must also know how a DBMS works A good understanding of database system internals is essential for a user who wishes to take full advantage of a DBMS and design a good database; this is especially true of physical design and database tuning.

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Use of unassigned local variable 'myInt'

Sec 9-4

You can t use an uninitialized variable in C#; doing so violates the rule of definite assignment. In this case, using the variable myInt means passing it to WriteLine( ). So, does this mean you must initialize every variable No, but if you don t initialize your variable, you must assign a value to it before you attempt to use it. Example 3-3 illustrates a corrected program.

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An associative relation, if required, has to be made a nest of either one of the owners as shown in Fig 9-7 Access from outside of the implemented hierarchy requires a search, through an index if needed for speed, as it does in a relational implementation Since the situation is not symmetric, the user has to be aware of the design decisions and their implementation E ciency considerations create the temptation to put the data which is functionally dependent on the nonhierarchical owner (here Parts) into the nest (Parts skill required) Two considerations prohibit this:

using using using using System; System.Collections.Generic; System.Linq; System.Text;

Nonhierarchical Relations Orphans Members in a hierarchy cannot be kept around without their owner If a part is not required at one point on the production cycle by any of the auto sections, information about this part kept in the nest would be lost The lack of a distinct Part relation also makes it impossible to store data about a new part not yet used by any auto section

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namespace Example_3_3_ _ _ _Definite_assignment { class Values { static void Main( ) { int myInt; //other code here... myInt = 7; // assign to it System.Console.WriteLine("Assigned, myInt: {0}", myInt); myInt = 5; System.Console.WriteLine("Reassigned, myInt: {0}", myInt); } } }

There will be multiple Parts skill required records for each Parts record Inclusion of a part description with several dependent elds in each instance of the Parts skill required increases update e orts If updating of the descriptions of one part is required, many records of Parts skill required have to be modi ed Also, if the part description is at all voluminous, much space is wasted due to the redundancy The design problems shown here are common to all bound databases In a system which is strictly hierarchical the binding of associations is not completed until the time that the query is being processed

An entity is an object in the real world that is distinguishable from other objects Examples include the following: the Green Dragonzord toy, the toy department, the manager of the toy department, the home address of the manager of the toy depart-

You can even assign the same value to multiple variables, like this:

Redundancy Example 9-15

int a, b, c, d; a = b = c = d = 5;

fieldnumber,fieldname (data type, format(length) IN owner segment)

In this case, a, b, c, and d would all have the value 5. This works because the C# compiler performs the rightmost assignment first; that is, d = 5. That assignment itself returns a value, the value 5. The compiler then assigns that returned value to c. That second assignment also returns a value, and so on, until all the variables have been assigned.

1* 2* 3* 4* 5* 6* 7* 8* 9* name (NAME X(16)) birthdate (DATE) height (DECIMAL NUMBER 999) weight (NON-KEY INTEGER NUMBER 999) children (REPEATING GROUP) child (NAME X IN 5) age c (INTEGER NUMBER 99 IN 5) education (REPEATING GROUP) school type (NAME X(10) IN 8)

There s one additional type of variable we can discuss, now that you understand assignment: the implicitly typed variable. The C# compiler can determine the type of a variable by analyzing the type of the value that you assign to it. For example, look at these assignment statements:

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