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This chapter can provide only a basic overview of designing a physical database and many of the trade-offs that you must consider. For an in-depth treatment of the subject, we feel that the Hand book of Relational Database Design by Fleming and Halle (Addison-Wesley, 1989) is an essential addition to any database professional s library.

The single most important decision that you make when designing a table is about the data types to define for columns and the properties that are attached to a column. Data types constrain the range of possible values that can be stored in a column while also determining how much storage space and memory each row consumes.

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Data types limit the type of data that is allowed to be stored in a column and, in some cases, even limit the range of possible values. The choice of a data type for a column is the most critical decision that is ever made within a database. Choose a data type that is too restrictive, and applications cannot store data they are intended to process, leading to a large effort to redesign everything. Choose too broad a data type, and your table winds up consuming more space on disk as well as in memory than necessary, which can create a resource and performance issue. When selecting a data type for a column, you should choose the data type that enables you to store all the data values that you expect while doing so in the smallest amount of space possible. Choices that are made when the table is designed affect the amount of space that is consumed on disk and the amount of memory that is con sumed when processing data and can affect the queries that are required to manipu late the data for application use.

You use exact numeric data types to store numbers with zero or more decimal places. Numbers stored in these data types can be manipulated using any mathematical operation without requiring any special handling. The stor age is also precisely defined so that any data stored in these data types returns and cal culates to the same value on either an Intel or AMD processor architecture. Data Type bigint Storage 8 bytes Value Range -2E63 to 2E63 1 -2E31 to 2E31 1 -32768 to 32767 0 to 255 -10E38 + 1 to 10E38 1 Purpose Stores very large whole num bers that can be positive or negative Stores whole numbers that can be positive or negative Stores whole numbers that can be positive or negative Stores a small range of posi tive whole numbers Stores decimals with up to a maximum of 38 places

int smallint tinyint decimal(p,s)

12

Data Type numeric(p,s)

void PrintLatLongReport(ILatLongReport *pLatLongReport) { DOUBLE latitude = 0, longitude = 0, altitude = 0, errorRadius = 0, altitudeError = 0; wprintf(L"\nReport:\n"); // Print the Latitude if (SUCCEEDED(pLatLongReport->GetLatitude(&latitude))) { wprintf(L"Latitude: %f\n", latitude); } else { /* handle error */ } // Print the Longitude if (SUCCEEDED(pLatLongReport->GetLongitude(&longitude)))

The decimal and numeric data types accept parameters to complete the definition. These parameters define the precision and scale for the data type. For example, a dec imal(12,4) defines a decimal value that can have up to 12 total digits, with 4 of those digits after the decimal. The most common data types from this group are int and decimal. You can use a dec imal data type to store integer values; however, it requires extra bytes of storage per row and you should not use it for this purpose. Although integer data types can store both positive and negative numbers, the nega tive portion is rarely used. The integer types are commonly used and also often mis used. If the range of values that will be stored in a column will not exceed 32,767, you can save 2 bytes for every row by using a smallint type instead. If the values range only between 0 and 255, you can save 3 bytes for every row.

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