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Signed 4-byte integer that stores numbers from -2,147,483,648 to 2,147,483,647. You can also refer to it using the int and int4 aliases. Related types are bigint(8 bytes) and smallint (2 bytes). Stores numbers with exact precision. The precision specifies the total number of digits the number can have (including the digits to the right of the decimal point). The scale specifies the number of digits for the fractional part of the number. An integer number has a scale of 0. The PostgreSQL documentation gives as an example the number 23.5141, which has a precision of 6 and a scale of 4. You ll use the numeric type to store monetary information because it has exact precision. Stores date and time data from 4713 BC to 5874897 AD. Stores fixed-length character data. Strings shorter than the maximum value are completed with spaces, and longer strings are truncated. The trailing spaces aren t taken into account when comparing values of this type. A commonly used alias of this data type is char. Stores variable-length character data. A commonly used alias of this data type is varchar. The dimension you set represents the maximum length of strings it can accept (longer strings are truncated). Stores strings of unlimited value. The PostgreSQL documentation states that there are no performance differences between the text and character varying string data types. This is not a true data type, but a convention used to define an autonumbered integer column, similar to the AUTO_INCREMENT in MySQL or IDENTITY in SQL Server. In PostgreSQL 7.3 or newer, serial doesn t imply UNIQUE, and you must (and should) specify this explicitly if you want the column to store unique values. A variation of serial is the bigserial type, which implements the autonumbering feature over bigint.

It offers a training module as well:

MEMBER FUNCTION get_id return n_id begin select GENDER_ID_SEQ.nextval into n_id from SYS.DUAL; return n_id; end get_id;

numeric (precision, scale)

number is number;

C HA PTER 6 JUS T LIK E IT IS IN THE REA L WORLD!

To create a PivotChart from the data in the PivotTable, click the Chart Wizard button on the PivotTable toolbar. Excel charts the PivotTable report data in a separate worksheet, as shown in Figure 3-18.

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Keep in mind that data type names are case insensitive, so you might see them capitalized differently depending on the database console program you re using. Now let s get back to the department table and determine which data types to use. Don t worry that you don t have the table yet in your database; you ll create it a bit later. Figure 3-9 shows the design of department in pgAdmin III. department_id is a serial data type, and name and description are varchar data types.

116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 ... 184 185 186 187 188 189 ... 195 196 197 198 199 200 201 202 203 204 205 206 207 208

Figure 3-9. Designing the department table For character varying, the associated dimension such as in character varying(50) represents the maximum length of the stored strings. We ll choose to have 50 characters available for the department s name and 1,000 for the description. An integer record, as shown in the table, always occupies 4 bytes.

number;

Figure 3-18. Click the Chart button on the ChartWizard toolbar to create a PivotChart based on the current PivotTable report.

For each column of the table, you can specify whether it is allowed to be NULL. The best and shortest definition for NULL is undefined. For example, in your department table, only department_id and name are really required, whereas description is optional meaning that you are allowed to add a new department without supplying a description for it. If you add a new row of data without supplying a value for columns that allow nulls, NULL is automatically supplied for them. Especially for character data, there is a subtle difference between the NULL value and an empty value. If you add a product with an empty string for its description, this means that you actually set a value for its description; it s an empty string, not an undefined (NULL) value. The primary key field never allows NULL values. For the other columns, it s up to you to decide which fields are required and which are not. In some cases, instead of allowing NULLs, you ll prefer to specify default values. This way, if the value is unspecified when creating a new row, it will be supplied with the default value. The default value can be a literal value (such as 0 for a salary column or "unknown" for a description column), a system value, or a function.

id n_id GENDER_OT code = aiv_code;

Serial columns are autonumbered columns. When a column is declared a serial column, PostgreSQL automatically provides values for it when inserting new records into the table. Usually if max is the largest value currently in the table for that column, then the next generated value will be max+1. This way, the generated values are always unique, which makes them especially useful when used in conjunction with the PRIMARY KEY constraint. You already know that primary keys

return n_id; end get_id;

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