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hoosing the right datatype seems so easy and straightforward, but many times I see it done incorrectly. The most basic decision what type you use to store your data in will have repercussions on your applications and data for years to come. Choosing the appropriate datatype is paramount and hard to change after the fact that is, once you implement it you might be stuck with it for quite a while. In this chapter, we ll take a look at all of the Oracle basic datatypes available and discuss how they are implemented and when each might be appropriate to use. We won t examine user-defined datatypes, as they re simply compound objects derived from the built-in Oracle datatypes. We ll investigate what happens when you use the wrong datatype for the job, or even just the wrong parameters to the datatype (length, precision, scale, and so on). By the end of this chapter, you ll have an understanding of the types available to you, how they re implemented, when to use each type and, as important, why using the right type for the job is key.

You could also use a DDL trigger to capture changes made to objects by users, including modification, creation, and deletion of various types of objects. You can capture a large number of attributes about the event and the user that sets off a DDL trigger. To capture some of the important attributes of a user event, you first need to create a table to log DDL changes. Once you have done that, you can create a DDL trigger like the one shown in Listing 12-16. In this example, the table is named DDL_LOG and the trigger is DDL_LOG_TRIG. Listing 12-16. Using DDL Triggers to Audit Users SQL> 2 3 4 5 6 CREATE OR REPLACE TRIGGER ddl_log_trig AFTER DDL ON DATABASE BEGIN INSERT INTO ddl_log (username,

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If we run a query that needs a relatively small percentage of the table, as follows ops$tkyte@ORA11GR2> set autotrace on explain ops$tkyte@ORA11GR2> select count(y) from t where x < 50; COUNT(Y) ---------49 Execution Plan ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=3 Card=1 Bytes=28) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (BY INDEX ROWID) OF 'T' (TABLE) (Cost=3 Card=41 Bytes=1148) 3 2 INDEX (RANGE SCAN) OF 'SYS_C009167' (INDEX (UNIQUE)) (Cost=2 Card=41) it will happily use the index; however, we ll find that when the estimated number of rows to be retrieved via the index crosses a threshold (which varies depending on various optimizer settings, physical statistics, and so on), we ll start to observe a full table scan ops$tkyte@ORA11GR2> select count(y) from t where x < 15000; COUNT(Y) ---------14999 Execution Plan ---------------------------------------------------------0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=57 Card=1 Bytes=28) 1 0 SORT (AGGREGATE) 2 1 TABLE ACCESS (FULL) OF 'T' (TABLE) (Cost=57 Card=14994 Bytes=419832) This example shows the optimizer won t always use an index and, in fact, it makes the right choice in skipping indexes. While tuning your queries, if you discover that an index isn t used when you think it ought to be, don t just force it to be used test and prove first that the index is indeed faster (via elapsed and I/O counts) before overruling the CBO. Reason it out.

7 change_date, 8 object_type, 9 object_owner, 10 database 11 ) 12 VALUES 13 (ora_login_user, 14 sysdate, 15 ora_dict_obj_type, 16 ora_dict_obj_owner, 17 ora_database_name) 16* END; Trigger created. SQL> Once the trigger is in use, you can query the DDL_LOG table to see the changes. As you can see here, users HR and SYSTEM have made several DDL-based changes to the database: SQL> SELECT * FROM ddl_log; USERNAME CHANGE_DATE OBJECT_TYPE -------- ----------- --------------HR 24-MAR-08 SYNONYM SYSTEM 24-MAR-08 OBJECTPRIVILEGE HR 24-MAR-08 TRIGGER SQL> OBJECT_OWNER ------------HR SYSTEM HR DATABASE_NAME ------------NINA NINA NINA

Oracle provides 22 different SQL data types for us to use. Briefly, they are as follows: CHAR: A fixed-length character string that will be blank padded with spaces to its maximum length. A non-null CHAR(10) will always contain 10 bytes of information using the default National Language Support (NLS) settings. We will cover NLS implications in more detail shortly. A CHAR field may store up to 2,000 bytes of information. NCHAR: A fixed-length character string that contains UNICODE formatted data. Unicode is a character-encoding standard developed by the Unicode Consortium with the aim of providing a universal way of encoding characters of any language, regardless of the computer system or platform being used. The NCHAR type allows a database to contain data in two different character sets: the CHAR type and NCHAR type use the database s character set and the national character set, respectively. A non-null NCHAR(10) will always contain 10 characters of information (note that it differs from the CHAR type in this respect). An NCHAR field may store up to 2,000 bytes of information.

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