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A qualified table name generally can be used in a SQL statement wherever a table name can appear. The ANSI/ISO SQL standard generalizes the notion of a qualified table name even further. It allows you to create a named collection of tables, called a schema. You can refer to a table in a specific schema by using a qualified table name. For example, the BIRTHDAYS table in the EMPLOYEE_INFO schema would be referenced as
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13 provides more information about schemas, users, and other aspects of SQL database structure. For now, keep in mind that users and schemas are not the same, and in fact, one user can be the owner of multiple schemas.
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When you specify a column name in a SQL statement, SQL can normally determine from the context which column you intend. However, if the statement involves two columns with the same name from two different tables, you must use a qualified column name to unambiguously identify the column you intend. A qualified column name specifies both the name of the table containing the column and the name of the column, separated by a period (.). For example, the column named SALES in the SALESREPS table has the qualified column name
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If the column comes from a table owned by another user, a qualified table name is used in the qualified column name. For example, the BIRTH_DATE column in the BIRTHDAYS table owned by the user SAM is specified by the fully qualified column name
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Qualified column names can generally be used in a SQL statement wherever a simple (unqualified) column name can appear; exceptions are noted in the descriptions of the individual SQL statements.
Part II:
Retrieving Data
Data Types
The ANSI/ISO SQL standard specifies the various types of data that can be stored in a SQL-based database and manipulated by SQL. The original SQL1 standard specified only a minimal set of data types. Subsequent versions of the standard expanded this list to include variable-length character strings, date and time data, bit strings, Extensible Markup Language (XML), and other types. Today, commercial DBMS products can process a rich variety of data, and there is considerable diversity in the particular data types supported across different DBMS brands. Typical data types include the following: Integers Columns holding this type of data typically store counts, quantities, ages, and so on. Integer columns are also frequently used to contain ID numbers, such as customer, employee, and order numbers. Decimal numbers Columns with this data type store numbers that have fractional parts and that must be calculated exactly, such as rates and percentages. They are also frequently used to store money amounts. Floating point numbers Columns with this data type are used to store scientific numbers that can be calculated approximately, such as weights and distances. Floating point numbers can represent a larger range of values than decimal numbers, but can produce round-off errors in computations. Fixed-length character strings Columns holding this type of data typically store character strings that are always the same length, such as postal codes, state/ province abbreviations, short descriptions, and so on. Whenever the string to be stored is smaller than the length defined for a fixed-length column, it is padded with spaces so it fits the exact storage length. Variable-length character strings This data type allows a column to store character strings that vary in length from row to row, up to some maximum length. (The SQL1 standard permitted only fixed-length character strings, which are easier for the DBMS to process but can waste considerable space.) Columns holding this type of data typically store names of people and companies, addresses, descriptions, and so on. Unlike fixed-length character strings, variable-length strings are not padded with spaces the exact number of characters provided is stored, along with the length of the data string. Money amounts Some SQL products support a MONEY or CURRENCY type, which is usually stored as a decimal or floating point number. Having a distinct money type allows the DBMS to properly format money amounts when they are displayed. However, the SQL Standard does not specify such a data type. Dates and times Support for date/time values is also common in SQL products, although the details can vary considerably from one product to another, largely because vendors implemented these data types before the SQL standard was developed. Various combinations of dates, times, timestamps, time intervals, and date/time arithmetic are generally supported. The SQL standard includes an elaborate specification for DATE, TIME, TIMESTAMP, and INTERVAL data types, including support for time zones and time precision (for example, tenths or hundredths of seconds).
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