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ops$tkyte@ORA10G> select numtoyminterval 2 (months_between(dt2,dt1),'month') 3 years_months, 4 dt2-(dt1 + numtoyminterval( trunc(months_between(dt2,dt1)),'month' )) 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 / dt2-(dt1 + numtoyminterval( trunc(months_between(dt2,dt1)),'month' )) * ERROR at line 4: ORA-01839: date not valid for month specified I personally find this unacceptable. The fact is, though, that by the time you are displaying information with years and months, the fidelity of the TIMESTAMP is destroyed already. A year is not fixed in duration (it may be 365 or 366 days in length) and neither is a month. If you are displaying information with years and months, the loss of microseconds is not relevant; having the information displayed down to the second is more than sufficient at that point.

You ll examine the main Oracle data transformation techniques in more detail in the following sections.

Next, we ll check to see if we are getting a new query that needs to be parsed. If the last query we parsed is the same as the current query, we can skip this step. It is very important to note that on line 47 we are verifying that the P_QUERY passed to us is just a SELECT we will use this package only to execute SQL SELECT statements. This check validates that for us: 45 46 47 48 49 50 51 52 53 54 if ( p_query <> g_query or g_query is NULL ) then if ( upper(trim(nvl(p_query,'x'))) not like 'SELECT%') then raise_application_error (-20001, 'This must be a select only' ); end if; dbms_sql.parse( g_cursor, p_query, dbms_sql.native ); g_query := p_query; end if;

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It s common to derive your new transformed data from existing tables in your database or other databases You have two basic methods you can use to derive data from another table If you re creating the table for the very first time, you can use the CTAS method to create new tables that meet your specifications If the table already exists in your database or another database, you can use the INSERT /* APPEND */ INTO SELECT method If the tables are in external databases, you can still use the CTAS method by using database links Using the CTAS method simply means that you create a new table from an existing table While you re creating the new table, you can apply certain SQL functions to the source table s columns, thereby transforming the data in the process.

The TIMESTAMP WITH TIME ZONE type inherits all of the qualities of the TIMESTAMP type and adds time zone support. The TIMESTAMP WITH TIME ZONE type consumes 13 bytes of storage, with the extra 2 bytes being used to preserve the time zone information. It differs from a TIMESTAMP structurally only by the addition of these 2 bytes: ops$tkyte@ORA10G> create table t 2 ( 3 ts timestamp, 4 ts_tz timestamp with time zone 5 ) 6 / Table created. ops$tkyte@ORA10G> insert into t ( ts, ts_tz ) 2 values ( systimestamp, systimestamp ); 1 row created. ops$tkyte@ORA10G> select * from t; TS TS_TZ ---------------------------- ----------------------------------28-JUN-05 01.45.08.087627 PM 28-JUN-05 01.45.08.087627 PM -04:00 ops$tkyte@ORA10G> select dump(ts), dump(ts_tz) from t;

We are ready to bind the inputs to this query. Any non-NULL names that were passed to us will be bound to the query, so when we execute it, it finds the right row: 55 56 57 58 59 bind_variable( bind_variable( bind_variable( bind_variable( p_name1, p_name2, p_name3, p_name4, p_bind1 p_bind2 p_bind3 p_bind4 ); ); ); );

The following is a simple example showing the use of the CTAS method: SQL> CREATE TABLE new_employees AS SELECT eempno, INITCAP(eename), esal*11, emgr, ddeptno, dloc, ddname FROM emp e, dept d WHERE edeptno=ddeptno; Table created SQL> The data transformations in this example state that the employee names will all start with a capital letter (INITCAP) and the salary column will be raised by a uniform 10 percent (sal * 11) The next example shows how to load data into an existing table from another table The use of the NOLOGGING and PARALLEL options in the example make the bulk insert run extremely fast.

SQL> INSERT /*APPEND NOLOGGING PARALLEL */ INTO sales_data SELECT product_id, customer_id, TRUNC(sales_date), discount_rate, sales_quantity, sale_price FROM sales_history; SQL> Note that even though you used the PARALLEL hint in the preceding INSERT statement, Oracle may not execute your INSERT statement in parallel because, by default, parallel mode is disabled You first must use the following statement so any DML statements you issue can be considered for parallel execution: SQL> ALTER SESSION ENABLE PARALLEL DML; Session altered SQL> Once you have enabled parallel DML in your session, you can use the PARALLEL hint in your DML statements, and Oracle will parallelize its execution..

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