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The performance gain from using a multitable insert is directly proportional to the complexity of the data and the number of target tables. Oracle claims that you can achieve a processing speed gain of 400 percent or more.

Note Refer back to 1 Developing Successful Oracle Applications for a really good security reason to

When you load all rows of a table, you can use either an unconditional all row insert or a conditional all row insert. In the following example, the source table is called sales_activity, whose data is loaded at the same time into two destination tables: sales and cost. The unconditional insert uses the keywords INSERT ALL, meaning that all the source rows (sales_activity) are loaded into the sales and cost tables. SQL> INSERT ALL INTO target1 VALUES (product_id, customer_id, sysdate, product_quantity) INTO target2 VALUES (product_id,sysdate,product_price,product_discount) SELECT s.product_id, s.customer_id, sysdate, s.product_quantity, s.product_price, s.product_discount FROM source s; After the INSERT ALL keywords, there are two INTO statements, each denoting an insert into a separate table. Notice that the SELECT statement contains all the necessary columns required by both INTO statements for inserting into the two tables. The conditional insert of all rows from the source table is similar to the unconditional version, except that the keyword WHEN indicates the conditions under which the inserts will be made. The following example shows how to perform a conditional all-row insert: SQL> INSERT ALL WHEN product_id IN(SELECT product_id FROM primary) THEN INTO target1 VALUES (product_id, customer_id, sysdate, product_quantity) WHEN product_id IN (SELECT product_id FROM secondary) THEN INTO target2 VALUES (product_id, sysdate, product_price, product_discount) SELECT s.product_id, s.customer_id, sysdate, s.product_quantity, s.product_price, s.product_discount FROM source s; This example still inserts all the rows from sales_data, because it uses the key phrase INSERT ALL.

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TS2: This column is assumed to be in the database s time zone, which is US/Eastern Now, 17:02:32 US/Pacific is 20:02:32 US/Eastern, so that is what was stored in the bytes ..21,3,33.. (excess-1 notation; remember to subtract 1) Since the TS1 column preserved the original time zone in the last 2 bytes, we ll see the following upon retrieval: ops$tkyte@ORA10G> select ts1, ts2 from t; TS1 ---------------------------------------TS2 ---------------------------------------05-JUN-05 050232212000 PM US/PACIFIC 05-JUN-05 080232212000 PM The database would be able to show that information, but the TS2 column with the LOCAL TIME ZONE (the time zone of the database) shows the time in the database s time zone, which is the assumed time zone for that column (and, in fact, all columns in this database with the LOCAL TIME ZONE).

Sometimes, you re interested in loading only some rows from a table, either based on a condition or unconditionally. You can do this in a multitable insert by using the keywords INSERT FIRST. Listing 13-11 shows how only some of the source table s rows are loaded into each target table, based on a separate condition for each table.

never use to_char/to_date without an explicit format. In that chapter, I described a SQL injection attack that was available to an end user simply because the developer forgot to use an explicit format. Additionally, performing date operations without using an explicit date format can and will lead to incorrect answers. In order to appreciate this, just tell me what date this string represents: 01-02-03 . Whatever you say it represents, I ll tell you that you are wrong. Never rely on defaults!

Listing 13-11. Partial Loading of Rows from the Source Table SQL> INSERT FIRST WHEN (quantity_sold > 10 AND product_id <1000) THEN INTO targetA VALUES (sysdate,product_id, customer_id, quantity_sold)) WHEN quantity_sold <= 10 and product_id >10000 THEN INTO targetB VALUES (sysdate,product_id, customer_id, quantity_sold) ELSE INTO targetC VALUES (time_id, cust_id, prod_id, sum_quantity_sold) SELECT s.time_id, s.cust_id, s.prod_id, p.prod_weight_class, SUM(amount_sold) AS sum_amount_sold, SUM(quantity_sold) AS sum_quantity_sold FROM sales s, products p WHERE s.prod_id = p.prod_id AND s.time_id = TRUNC(sysdate) GROUP BY s.time_id, s.cust_id, s.prod_id, p.prod_weight_class;

My database was in the US/Eastern time zone, so 17:02:32 US/Pacific on the way in is now displayed as 8:00 pm East Coast time on the way out The TIMESTAMP WITH LOCAL TIME ZONE provides sufficient support for most applications, if you need not remember the source time zone, but only need a datatype that provides consistent worldwide handling of date/time types Additionally, the TIMESTAMP(0) WITH LOCAL TIMEZONE provides you the equivalent of a DATE type with time zone support; it consumes 7 bytes of storage and allows you to store dates normalized in UTC form.

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