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The SQL join operation combines information from two tables by forming pairs of related rows from the two tables. The row pairs that make up the joined table are those where the matching columns in each of the two tables have the same value. If one of the rows of a table is unmatched in this process, the join can produce unexpected results, as illustrated by these queries: List the salespeople and the offices where they work. SELECT NAME, REP_OFFICE FROM SALESREPS NAME -------------Bill Adams Mary Jones Sue Smith Sam Clark Bob Smith Dan Roberts Tom Snyder Larry Fitch Paul Cruz Nancy Angelli REP_OFFICE ---------13 11 21 11 12 12 NULL 21 12 22

Options Used with the BACKUP Command (continued)

employee_key employee_name ... PROCESSOR employee_key employee_name ... UNDERWRITER employee_key employee_name ...

List the salespeople and the cities where they work. SELECT NAME, CITY FROM SALESREPS, OFFICES WHERE REP_OFFICE = OFFICE NAME ------------Mary Jones Sam Clark Bob Smith Paul Cruz Dan Roberts Bill Adams Sue Smith Larry Fitch Nancy Angelli CITY -------New York New York Chicago Chicago Chicago Atlanta Los Angeles Los Angeles Denver

Function Instructs the backup operation to eject the tape (or other media) once the backup is complete.

SELECT officer.employee_name AS officer_name, processor.employee_name AS processor_name, underwriter.employee_name AS underwriter_name FROM -- Alias the employee table 3 times: -employee ALIAS officer, employee ALIAS processor, employee ALIAS underwriter, --mortgage_closing_facts WHERE --- join to each alias using correct key: -mortgage_closing_facts.employee_key_officer = officer.employee_key AND mortgage_closing_facts.employee_key_processor = processor.employee_key AND mortgage_closing_facts.employee_key_underwriter = underwriter.employee_key AND --mortgage_closing_facts.application_key = 77777

Table 6-4.

officer_name =============== Eve Adelson processor_name =============== Dan Roberts underwriter_name ================ Chiu Mieng

Based on the English-language descriptions of these two queries, you would probably expect them to produce the same number of rows. But the first query includes a row for each of the ten salespeople, while the second query produces only nine. Why Because Tom Snyder is currently unassigned and has a NULL value in the REP_OFFICE column (which is the matching column for the join). This NULL value doesn't match any of the office numbers in the OFFICES table, so Tom's row in the SALESREPS table is unmatched. As a result, it "vanishes" in the join. The standard SQL join thus has the potential to lose information if the tables being joined contain unmatched rows.

Options Used with the BACKUP Command (continued)

Figure 6-8

- 120 -

In this example, we ve set a minimum number of days to retain the information on the backup set. We also specified a media description and a media name. Additionally, the media device will be formatted, statistics will be displayed during the operation, and the tape will be ejected from the device when the operation is complete. FILE AND FILEGROUP BACKUPS The BACKUP command can also be used to back up only specific files or filegroups. The command format is similar to that for full backups, but it includes a specifier for files and filegroups: BACKUP DATABASE {database | @database_variable} <file_or_filegroup> [,...n] TO <backup_device> [,...n] [WITH [BLOCKSIZE = {blocksize | @blocksize_variable}] [[,] DESCRIPTION = {text | @text_variable}] [[,] EXPIREDATE = {date | @date_variable} | RETAINDAYS = {days | @days_variable}] [[,] FORMAT | NOFORMAT] [[,] {INIT | NOINIT}] [[,] MEDIADESCRIPTION = {text | @text_variable}] [[,] MEDIANAME = {media_name | @media_name_variable}] [[,] [NAME = {backup_set_name | @backup_set_name_variable}] [[,] {NOSKIP | SKIP}] [[,] {NOUNLOAD | UNLOAD}] [[,] [RESTART] [[,] STATS [= percentage]] ] <backup_device> ::= { {backup_device | @backup_device_variable} |

Many business intelligence and reporting tools have their own forms of aliasing. Typically, such tools will allow a table to be brought into a graphical diagram of the query multiple times, much the way employee appears three times at the top of Figure 6-8.