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to load tables. Since the direct-path loading method doesn t contend for database resources, it will load data much faster than a conventional data load. For larger data loads, the direct-path loading method works best, and it may be the only viable method of loading data into tables for the simple reason that a conventional load may require more time than is available. Besides the obvious advantages of a shorter load time, direct loading also helps you rebuild indexes and presort table data. Using the direct-path loading method as opposed to the conventional loading method has the following advantages: The load is much faster than in the conventional loading method because you aren t using SQL INSERT statements for the load. The direct load uses multiblock asynchronous I/O for database writes, so the writing is fast. You have the option of presorting data using efficient sorting routines with the direct load. By setting the UNRECOVERABLE=Y parameter, you can avoid the writing of any redo data during a direct load. By using temporary storage, you can build indexes more efficiently during a direct load than when you re using the conventional load method.

Note A conventional load will always generate redo entries, whereas the direct-path loading method will generate such entries only under specific conditions. A direct load also won t fire any insert triggers, unlike the conventional load, which fires the triggers during the load. Users can t make any changes when a table is being loaded using a direct load, unlike in a conventional load.

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The DATE type is a fixed-width 7-byte date/time datatype. It will always contain the seven attributes of the century, the year within the century, the month, the day of the month, the hour, the minute, and the second. Oracle uses an internal format to represent that information, so it is not really storing 20, 05, 06, 25, 12, 01, 00 for June 25, 2005, at 12:01:00. Using the built-in DUMP function, we can see what Oracle really stores: ops$tkyte@ORA10G> create table t ( x date ); Table created. ops$tkyte@ORA10G> insert into t (x) values 2 ( to_date( '25-jun-2005 12:01:00', 3 'dd-mon-yyyy hh24:mi:ss' ) ); 1 row created. ops$tkyte@ORA10G> select x, dump(x,10) d from t; X D --------- ----------------------------------25-JUN-05 Typ=12 Len=7: 120,105,6,25,13,2,1 The century and year bytes (the 120,105 in the DUMP output) are stored in an excess-100 notation. You would have to subtract 100 from them to determine the correct century and year. The reason for the excess-100 notation is support of BC and AD dates. If you subtract 100 from the century byte and get a negative number, it is a BC date, for example: ops$tkyte@ORA10G> insert into t (x) values 2 ( to_date( '01-jan-4712bc', 3 'dd-mon-yyyybc hh24:mi:ss' ) ); 1 row created. ops$tkyte@ORA10G> select x, dump(x,10) d from t; X --------25-JUN-05 01-JAN-12 D ----------------------------------Typ=12 Len=7: 120,105,6,25,13,2,1 Typ=12 Len=7: 53,88,1,1,1,1,1

100 100 1234600

However, direct-path loads have some serious limitations. You can t use this method under the following conditions: You re using clustered tables. You re loading parent and child tables together. You re loading VARRAY or BFILE columns. You re loading across heterogeneous platforms using Oracle Net. You want to apply SQL functions during the load.

Note In a direct load, you can t use any SQL functions. If you need to perform a large data load and also transform the data during the load, you have a problem. The conventional data load will let you use SQL functions to transform data, but the method is very slow compared to the direct load. Thus, for large data loads, you may want to consider using one of the newer load/transform techniques, such as external tables or table functions.

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