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The following tips will help you optimize SQL*Loader during data loads, especially when the data loads are large and/or you have multiple indexes and constraints on the tables in your database Try to use the direct-path loading method as much as possible It s much faster than conventional data loading Use the UNRECOVERABLE=true option wherever possible (in direct loads) This will save you considerable time, because the newly loaded data doesn t need to be logged in the redo log file Media recovery is still in force for all the other users of the database, and you can always start a new SQL*Loader run if there s a problem Keep the use of the NULLIF and DEFAULTIF parameters to a minimum These clauses must be tested for every single row on which they re used Minimize the number of data type and character set conversions, as they slow down processing.

select count(*) from t where trunc(created,'y') = to_date('01-jan-2005','dd-mon-yyyy') call count ------- -----Parse 4 Execute 4 Fetch 8 ------- -----total 16 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 0.00 0.00 0 0 0 0.04 0.16 0 372 0 -------- ---------- ---------- ---------- ---------0.04 0.16 0 372 0 rows ---------0 0 4 ---------4

2 2 2 2

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Wherever possible, use positional fields rather than delimited fields SQL*Loader can move from field to field much faster if it s given the position of the field Map physical and logical records on a one-to-one basis Disable constraints before the load, as the constraints will slow down the loading Of course, you may sometimes end up with errors while enabling the constraints, but it s a small price to pay for a much faster data load, especially for large tables If you re using the direct-path loading method, specify the SORTED_INDEXES clause to optimize the load performance If you re doing large data loads, it s smart to drop the indexes on the tables before the load Index maintenance will slow down your SQL*Loader session If it isn t possible to drop the indexes, you can make them unusable and use the SKIP_UNUSABLE_INDEXES clause during the load.

If it s a direct load, use the SKIP_INDEX_ MAINTENANCE clause..

We can see that as we added significant digits to X, the amount of storage required took increasingly more room. Every two significant digits added another byte of storage. But a number just one larger consistently took 2 bytes. When Oracle stores a number, it does so by storing as little as it can to represent that number. It does this by storing the significant digits, an exponent used to place the decimal place, and information regarding the sign of the number (positive or negative). So, the more significant digits a number contains, the more storage it consumes. That last fact explains why it is useful to know that numbers are stored in varying width fields. When attempting to size a table (e.g., to figure out how much storage 1,000,000 rows would need in a table), you have to consider the NUMBER fields carefully. Will your numbers take 2 bytes or 20 bytes What is the average size This makes accurately sizing a table without representative test data very hard. You can get the worst-case size and the best-case size, but the real size will likely be some value in between.

You can see the obvious difference. Using TO_CHAR consumed an order of magnitude more CPU than using TRUNC. That is because TO_CHAR must convert the date to a string, using a much larger code path, taking all of the NLS we have in place to do so. Then we had to compare a string to a string. The TRUNC, on the other hand, just had to set the last 5 bytes to 1. Then it compared 7 binary bytes to 7 binary bytes, and it was done. So, you should never use TO_CHAR on a DATE column simply to truncate it. Additionally, avoid applying a function at all to the DATE column when possible. Taking the preceding example one step further, we can see that the goal was to retrieve all data in the year 2005. Well, what if CREATED had an index on it and a very small fraction of the values in that table were in the year 2005 We would like to be able to use that index by avoiding a function on the database and column using a simple predicate: select count(*) from t where created >= to_date('01-jan-2005','dd-mon-yyyy') and created < to_date('01-jan-2006','dd-mon-yyyy'); We would achieve two things: An index on CREATED could be considered. The TRUNC function would not have to be invoked at all, and that overhead would go away entirely. This technique of using a range comparison instead of TRUNC or TO_CHAR applies equally to the TIMESTAMP type discussed shortly. When you can avoid applying a function to a database column in a query, you should. In general, avoiding the function will be more performant and allow the optimizer to choose from a wider variety of access paths.

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