Specifies the preferred optimizer strategy for statements that specify a select expression. The following options are available: o FAST FIRST A query optimized for FAST FIRST returns data to the user as quickly as possible, even at the expense of total throughput. If a query can be cancelled prematurely, you should specify FAST FIRST optimization. A good candidate for FAST FIRST optimization is an interactive application that displays groups of records to the user, where the user has the option of aborting the query after the first few screens. For example, singleton SELECT statements default to FAST FIRST optimization. If the optimization level is not explicitly set, FAST FIRST is the default. o TOTAL TIME If your application runs in batch, accesses all the records in the query, and performs updates or writes a report, you should specify TOTAL TIME optimization. Most queries benefit from TOTAL TIME optimization. The following examples illustrate the DECLARE CURSOR syntax for setting a preferred optimization mode: SQL> DECLARE TEMP1 TABLE CURSOR cont> FOR cont> SELECT * cont> FROM EMPLOYEES cont> WHERE EMPLOYEE_ID > '00400' cont> OPTIMIZE FOR FAST FIRST; SQL> -- SQL> DECLARE TEMP2 TABLE CURSOR cont> FOR cont> SELECT LAST_NAME, FIRST_NAME cont> FROM EMPLOYEES cont> ORDER BY LAST_NAME cont> OPTIMIZE FOR TOTAL TIME; o SEQUENTIAL ACCESS Forces the use of sequential access. This is particularly valuable for tables that use the strict partitioning functionality. When the storage map of a table has the attribute PARTITIONING IS NOT UPDATABLE, the mapping of data to a storage area is strictly enforced. This is known as strict partitioning. When queries on such tables use sequential access, the optimizer can eliminate partitions which do not match the WHERE restriction rather than scan every partition. The following example shows a query that deletes selected rows from a specific partition. This table also includes several indexes, which may be chosen by the optimizer. Therefore, the OPTIMIZE clause forces sequential access. SQL> delete from PARTS_LOG cont> where parts_id between 10000 and 20000 cont> and expire_date < :purge_date cont> optimize for sequential access; Note that all access performed by such queries will be sequential. Care should be taken that the I/O being used is acceptable by comparing similar queries using index access.