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The most common use of the ALTER TABLE statement is to add a column to an existing table. The column definition clause in the ALTER TABLE statement is just like the one in the CREATE TABLE statement, and it works the same way. The new column is added to the end of the column definitions for the table, and it appears as the rightmost column in subsequent queries. The DBMS normally assumes a NULL value for a newly added column in all existing rows of the table. If the column is declared to be NOT NULL with a default value, the DBMS instead assumes the default value. Note that you cannot simply declare the new column NOT NULL, because the DBMS would assume NULL values for the column in the existing rows, immediately violating the constraint! (When you add a new column, the DBMS doesn t actually go through all of the existing rows of the table adding a NULL or default value. Instead, it detects the fact that an existing row is too short for the new table definition when the row is retrieved, and extends it with a NULL or default value before displaying it or passing it to your program.) Some sample ALTER TABLE statements that add new columns are: Add a contact name and phone number to the CUSTOMERS table.

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ALTER TABLE CUSTOMERS ADD CONTACT_NAME VARCHAR(30)

If you are not sure where to get filters from, ask in a good photographic suppliers or stage lighting shop for colored gelatin. If this does not work, you could always use the clear colored plastic that some sweets are wrapped in, carefully joined with sticky tape ensuring that the joins are good and no additional light penetrates.

The existence of published SQL standards has spawned quite a few exaggerated claims about SQL and applications portability. Diagrams such as the one in Figure 3-1 are frequently drawn to show how an application using SQL can work interchangeably with any SQL-based database management system. In fact, the holes in the SQL-89 standard and the current differences between SQL dialects are significant enough that an application must always be modified when moved from one SQL database to

Figure 3-1.

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Usually, normalization starts with any rendering of data that is (or will be) presented to a user, such as web pages, application screens, reports, and so forth. Collectively, these are called user views. It may seem odd at rst, but it is common practice in the design of computer systems to start with the output that the user will see and work backward from there to gure how to produce the desired output.

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another These differences, many of which were eliminated by the SQL2 standard but have not yet been implemented in commercial products, include: I Error codes The SQL-89 standard does not specify the error codes to be returned when SQL detects an error, and all of the commercial implementations use their own set of error codes The SQL2 standard specifies standard error codes I Data types The SQL-89 standard defines a minimal set of data types, but it omits some of the most popular and useful types, such as variable-length character strings, dates and times, and money data The SQL2 standard addresses these, but not new data types such as graphics and multimedia objects I System tables The SQL-89 standard is silent about the system tables that provide information regarding the structure of the database itself.

Each vendor has its own structure for these tables, and even IBM s four SQL implementations differ from one another The tables are standardized in SQL2, but only at the higher levels of compliance, which are not yet provided by most vendors I Interactive SQL The standard specifies only the programmatic SQL used by an application program, not interactive SQL For example, the SELECT statement used to query the database in interactive SQL is absent from the SQL-89 standard Again, the SQL2 standard addressed this issue, but long after all of the major DBMS vendors had well-established interactive SQL capabilities I Programmatic interface The original standard specifies an abstract technique for using SQL from within an applications program written in COBOL, C, FORTRAN, and other programming languages No commercial SQL product uses this technique, and there is considerable variation in the actual programmatic interfaces used.

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