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CREATE TABLE statement for external table: -----------------------------------------------------------------------CREATE TABLE "SYS_SQLLDR_X_EXT_TEST_EMP" ( "EMPLOYEE_ID" NUMBER, "FIRST_NAME" VARCHAR2(20), "LAST_NAME" VARCHAR2(20), "HIRE_DATE" DATE, "SALARY" NUMBER, "MANAGER_ID" NUMBER ) ORGANIZATION external ( TYPE oracle_loader DEFAULT DIRECTORY SYS_SQLLDR_XT_TMPDIR_00000 ACCESS PARAMETERS ( RECORDS DELIMITED BY NEWLINE CHARACTERSET US7ASCII BADFILE 'SYS_SQLLDR_XT_TMPDIR_00000':'test.bad' LOGFILE 'test.log_xt' READSIZE 1048576 SKIP 6 FIELDS TERMINATED BY "," OPTIONALLY ENCLOSED BY '"' LDRTRIM REJECT ROWS WITH ALL NULL FIELDS ( "EMPLOYEE_ID" CHAR(255) TERMINATED BY "," OPTIONALLY ENCLOSED BY '"', "FIRST_NAME" CHAR(255) TERMINATED BY "," OPTIONALLY ENCLOSED BY '"', "LAST_NAME" CHAR(255) TERMINATED BY "," OPTIONALLY ENCLOSED BY '"', "HIRE_DATE" CHAR(255) TERMINATED BY "," OPTIONALLY ENCLOSED BY '"', "SALARY" CHAR(255) TERMINATED BY "," OPTIONALLY ENCLOSED BY '"', "MANAGER_ID" CHAR(255) TERMINATED BY "," OPTIONALLY ENCLOSED BY '"' ) ) location ( 'test.ctl' ) )REJECT LIMIT UNLIMITED INSERT statements used to load internal tables: -------------------------------------------------------------INSERT /*+ append */ INTO TEST_EMP ( EMPLOYEE_ID, FIRST_NAME, LAST_NAME, HIRE_DATE, SALARY, MANAGER_ID

varchar2(4000); number;

) SELECT "EMPLOYEE_ID", "FIRST_NAME", "LAST_NAME", "HIRE_DATE", "SALARY", "MANAGER_ID" FROM "SYS_SQLLDR_X_EXT_TEST_EMP" Run began on Sun Mar 06 13:49:39 2009 Run ended on Sun Mar 06 13:49:40 2009 Elapsed time was: 00:00:01.22 CPU time was: 00:00:00.27 You can see that it s a lot easier to generate the CREATE TABLE statements for the external tables this way, rather than creating them from scratch.

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DT2-DT1 --------------------------------------------------------------------------+000000380 10:20:29.878000000 The difference between two TIMESTAMP values is an INTERVAL, and this shows us the number of days and hours/minutes/seconds between the two. If we desire to have the years, months, and so forth, we are back to using a query similar to the one we used with dates: ops$tkyte@ORA10G> select numtoyminterval 2 (months_between(dt2,dt1),'month') 3 years_months, 4 dt2-add_months(dt1,trunc(months_between(dt2,dt1))) 5 days_hours 6 from (select to_timestamp('29-feb-2000 01:02:03.122000', 7 'dd-mon-yyyy hh24:mi:ss.ff') dt1, 8 to_timestamp('15-mar-2001 11:22:33.000000', 9 'dd-mon-yyyy hh24:mi:ss.ff') dt2 10 from dual ) 11 / YEARS_MONTHS DAYS_HOURS ------------- ----------------------------+000000001-00 +000000015 10:20:30.000000000 Note in this case, since we used ADD_MONTHS, DT1 was converted implicitly into a DATE type and we lost the fractional seconds. We would have to add yet more code to preserve them. We could use NUMTOYMINTERVAL to add the months and preserve the TIMESTAMP; however, we would be subject to runtime errors:

In most cases, especially in data warehouse environments, the data you re loading needs to be transformed to make it more meaningful for analysis. Oracle Database 11g can help you perform sophisticated and efficient data transformation within the database itself, so you don t need to rely on external processes or tools. You have several ways of performing data transformations in Oracle Database 11g. The following are the most commonly used techniques: Derive the data from existing tables. You can use joins or aggregations of data from tables in the same database, or you can gather the data from tables located in external Oracle or nonOracle databases. Use SQL to transform data. SQL techniques including the MERGE statement, multiple-table inserts, and table functions to transform data during the loading process. Use the MODEL statement, which helps you perform highly expressive computations using sets of interrelated formulas. Using the MODEL clause, you can now treat an Oracle table as an n-dimensional array and specify interrow references without SQL joins and unions.

Now, the first thing our code does is a sanity check on the P_FROM and P_FOR inputs. P_FROM must be a number greater than or equal to 1, and P_FOR must be between 1 and 4,000 just like the built-in function SUBSTR: 34 35 36 37 38 39 40 41 42 43 44 if ( nvl(p_from,0) <= 0 ) then raise_application_error (-20002, 'From must be >= 1 (positive numbers)' ); end if; if ( nvl(p_for,0) not between 1 and 4000 ) then raise_application_error (-20003, 'For must be between 1 and 4000' ); end if;

Note You can also use PL/SQL procedural techniques to perform complex data transformations. The real issue here is whether you have the time and expertise at your disposal to code the transformation. In addition, when you re dealing with very large data sets, the use of PL/SQL is not very efficient when you compare it to some of the alternatives.

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