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select * from WORKER_OT where name = 'DOE, JOHN J.' order by 1; Next, I execute xp.sql in SQL*Plus, passing it the filename as follows: SQL> xp.sql select_worker_ot_equalto.sql This produces the following plan: Explained. Plan hash value: 2430037530 ----------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | ----------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 61 | | 1 | SORT ORDER BY | | 1 | 61 | | 2 | TABLE ACCESS BY INDEX ROWID| WORKER_OT | 1 | 61 | |* 3 | INDEX RANGE SCAN | WORKER_OT_UK2 | 1 | | --------------------------------------------------------------------------------------------Cost (%CPU)| Time | ----------------------5 (20)| 00:00:01 | 5 (20)| 00:00:01 | 4 (0)| 00:00:01 | 3 (0)| 00:00:01 | ----------------------Predicate Information (identified by operation id): --------------------------------------------------3 - access("NAME"='DOE, JOHN J.') 15 rows selected. If you examine the plan, you ll see that the query is retrieving the values from the database by first scanning index WORKER_OT_UK2. Since I know how the indexes were built, I can be assured by looking at the plan that the Optimizer has chosen the best plan for accessing the WORKER_OT table. Now let s see what the Optimizer decides to do when I change the query from an equal to to a like literal ending with a wildcard query. First, I save the following query in file select_worker_ot_likepct.sql.

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select * from WORKER_OT where name like 'DOE%' order by 1; Next, I execute xp.sql against that filename as follows: SQL> xp.sql select_worker_ot_likepct.sql This produces the following plan: Explained. Plan hash value: 2430037530 ----------------------------------------------------------------------| Id | Operation | Name | Rows | Bytes | ----------------------------------------------------------------------| 0 | SELECT STATEMENT | | 1 | 61 | | 1 | SORT ORDER BY | | 1 | 61 | | 2 | TABLE ACCESS BY INDEX ROWID| WORKER_OT | 1 | 61 | |* 3 | INDEX RANGE SCAN | WORKER_OT_UK2 | 1 | | --------------------------------------------------------------------------------------------Cost (%CPU)| Time | ----------------------6 (17)| 00:00:01 | 6 (17)| 00:00:01 | 5 (0)| 00:00:01 | 3 (0)| 00:00:01 | ----------------------Predicate Information (identified by operation id): --------------------------------------------------3 - access("NAME" LIKE 'DOE%') filter("NAME" LIKE 'DOE%') 16 rows selected. The Optimizer chose the same plan for this query as it did that last one. Now let s try a worst-case scenario for any LIKE statement. I ll use the (%) wildcard on both sides of the literal. I would assume that this SQL statement will lead to a full index scan, instead of an index range scan. Does it First, I save the following query in file select_worker_ot_pctlikepct.sql.

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