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This section covers some Oracle-specific extensions of the SQL language. Although they might appear slightly off topic, the flashback features are simply too valuable to remain uncovered in this book. In 6, we talked about the concept of read consistency. Read consistency means that your SQL statements always get a consistent view of the data, regardless of what other database users or applications do with the same data at the same time. The Oracle DBMS provides a snapshot of the data at the point in time when the statement execution started. In the same chapter, you also saw that you can change your session to be READ ONLY, so that your query results depend on the data as it was at the beginning of your session. The Oracle DBMS has its methods to achieve this, without using any locking techniques affecting other database users or applications. How this is done is irrelevant for this book. This section shows some interesting ways to use the same technique, by stating explicitly in your queries that you want to go back in time.

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When you use table-driven methods, you have to address two issues: First you have to address the question of how to look up entries in the table. You can use some data to access a table directly. If you need to classify data by month, for example, keying into a month table is straightforward. You can use an array with indexes 1 through 12. Other data is too awkward to be used to look up a table entry directly. If you need to classify data by social security number, for example, you can t use the social security number to key into the table directly unless you can afford to store 999-99-9999 entries in your table. You re forced to use a more complicated approach. Here s a list of ways to look up an entry in a table:

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Each of these kinds of accesses is described in more detail in later subsections. The second issue you have to address if you re using a table-driven method is what you should store in the table. In some cases, the result of a table lookup is data. If that s the case, you can store the data in the table. In other cases, the result of a table lookup is an action. In such a case, you can store a code that describes the action or, in some languages, you can store a reference to the routine that implements the action. In either of these cases, tables become more complicated.

Note The flashback query feature may need some configuration efforts before you can use it. This is the task of a database administrator. Therefore, it is not covered in this book. See the Oracle documentation for more details.

Myth: There s no need for me to use graphical cues to point out the organization of the presentation. Truth: Research shows that people learn better when you use visual cues to highlight a presentation s organization.

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Like all lookup tables, direct-access tables replace more complicated logical control structures. They are direct access because you don t have to jump through any complicated hoops to find the information you want in the table. As Figure 18-1 suggests, you can pick out the entry you want directly.

(age, year)

Before we start our flashback query experiments, we first create a temporary copy of the EMPLOYEES table, as shown in Listing 9-31. (The listing is generated using SQL*Plus). This allows us to perform various experiments without destroying the contents of the real EMPLOYEES table. We also change the NLS_TIMESTAMP_FORMAT parameter with the ALTER SESSION command, to influence how timestamp values are displayed on the screen. Listing 9-31. Preparing for the Flashback Examples SQL> create table e as select * from employees; Table created. SQL> alter session set nls_timestamp_format='DD-MON-YYYY HH24:MI:SS.FF3'; Session altered. SQL> select localtimestamp as table_created from dual; TABLE_CREATED -----------------------------------------------------01-OCT-2004 10:53:42.746 SQL> update e set msal = msal + 10; 14 rows updated. SQL> commit; Commit complete.

Figure 18-1 As the name suggests, a direct access table allows you to access the table element you re interested in directly.

See Also For more information about the research described in the Myth vs. Truth sidebars in this chapter, see Richard E. Mayer, Ed., The Cambridge Handbook of Multimedia Learning (Cambridge University Press, 2005). Looking at this big-picture view of the presentation, you can t see immediately the location of the most important slides. Instead, every idea has equal visual weight, and there are no cues given by the slide backgrounds about relative importance of ideas. Working memory, with its limited capacity to process new information, has to sort things out on its own and is presented here with the impossible task of holding all this new information while it gures out what s most important to know.

Suppose you need to determine the number of days per month (forgetting about leap year, for the sake of argument). A clumsy way to do it, of course, is to write a large if statement.

SQL> select localtimestamp as after_update_1 from dual; AFTER_UPDATE_1 ------------------------------------------------------01-OCT-2004 10:54:26.138 SQL> update e set msal = msal - 20 where 3 rows updated. SQL> commit; Commit complete. deptno = 10;

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