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Since there is a three-hour time difference between those two time zones, even though they show the same time of 17:02:32.212, the interval reported is a three-hour difference. When performing TIMESTAMP arithmetic on TIMESTAMPS WITH TIME ZONE types, Oracle automatically converts both types to UTC time first and then performs the operation.

Rather than unconditionally inserting or updating all the table rows, you may want to insert or update data only when certain conditions are met. The MERGE statement allows you to conditionally insert or delete data. Now, Oracle allows you to use a WHERE clause in a MERGE statement s UPDATE or INSERT clause to conditionally update or insert data, as shown in Listing 13-9 (note the USING clause in the MERGE statement). Listing 13-9. Using UPDATE and INSERT Clauses in a MERGE Statement SQL> MERGE INTO products p /* Destination table USING product_changes s /* Source table ON (p.prod_id = s.prod_id) /* Search/join condition WHEN MATCHED THEN UPDATE /* Update if join SET p.prod_list_price = s.prod_new_price WHERE p.prod_status <> 'EXPIRED' /* Conditional update WHEN NOT MATCHED THEN INSERT /* Insert if not join SET p.prod_list_price = s.prod_new_price WHERE s.prod_status <> 'EXPIRED' /* Conditional insert Note that Oracle will skip the INSERT or UPDATE operation if the statement doesn t satisfy the WHERE condition. Both the INSERT and UPDATE operations would occur only if the product is not an expired item (WHERE s.prod_status <> "EXPIRED").

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The native Oracle datatypes of DATE, TIMESTAMP, and INTERVAL are closely related. The DATE and TIMESTAMP types store fixed date/times with varying degrees of precision. The INTERVAL type is used to store an amount of time, such as 8 hours or 30 days, easily. The result of subtracting two timestamps might be an interval, the result of adding an interval of 8 hours to a TIMESTAMP results in a new TIMESTAMP that is 8 hours later. The DATE datatype has been part of Oracle for many releases as far back as my experience with Oracle goes, which means at least back to version 5 and probably before. The TIMESTAMP and INTERVAL types are relative newcomers to the scene by comparison, as they were introduced with Oracle9i Release 1. For this simple reason, you will find the DATE datatype to be the most prevalent type for storing date/time information. But many new applications are using the TIMESTAMP type for two reasons: it has support for fractions of seconds (the DATE type does not) and it has support for time zones (something the DATE type also does not have). We ll take a look at each type after discussing DATE/TIMESTAMP formats and their uses.

You can now use the MERGE statement with an optional DELETE clause. However, you can t use the DELETE clause independently in a MERGE statement, as with the UPDATE or INSERT clause. You must embed the DELETE statement inside the UPDATE statement. This means that the DELETE statement isn t a global clause, but rather works in the confines of the data affected by the UPDATE clause of the MERGE statement. Listing 13-10 shows how the DELETE clause is embedded within the UPDATE clause. Listing 13-10. Using the DELETE Clause in a MERGE Statement SQL> MERGE INTO products p USING product_changes s ON (p.prod_id = s.prod_id) WHEN MATCHED THEN UPDATE SET p.prod_list_price = s.prod_new_price, p.prod_status = s.prod_new_status DELETE WHERE (p.prod_status = 'OLD_ITEM') WHEN NOT MATCHED THEN INSERT (prod_id, prod_list_price, prod_status) VALUES (s.prod_id, s.prod_new_price, s.prod_new_status); This MERGE statement will first update the prod_list_price and the prod_status columns of the products table wherever the join condition is true. The join condition (p.prod_id = s.prod_id) joins the two tables: product (the source table) and product_changes (the destination table). Here are a couple of considerations when using the DELETE statement: The DELETE clause affects only the rows that were updated by the MERGE statement. The MERGE statement will delete only the rows included in the join condition specified by the ON clause. In the example, when you use this MERGE statement, the UPDATE clause fires first, and it may set some of the prod_new_status values to expired. The DELETE clause will then remove all the rows whose prod_new_status value was set to expired by the UPDATE clause. The DELETE clause will not remove any other rows with the expired status, unless they are part of the join defined in the ON clause.

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