Ok, I'm a bit at a loss to explain this..... I have two tables, ADDS_USERS, which has AUSR_ID as the primary key, and AUTHORIZED_IP_ADDRESSES. Now, my original query looks like this: SELECT A.AUSR_LOGIN_SCREEN_NAME FROM ADDS_USERS A, AUTHORIZED_IP_ADDRESSES B WHERE A.AUSR_ID =3D B.AUSR_ID AND :B1 BETWEEN B.AIA_IP_ADDRESS_START AND B.AIA_IP_ADDRESS_END; and when run w/ autotrace set to traceonly, produces the following output: Execution Plan ---------------------------------------------------------- 0 SELECT STATEMENT Optimizer=3DCHOOSE (Cost=3D13 Card=3D110 = Bytes=3D46 20) 1 0 NESTED LOOPS (Cost=3D13 Card=3D110 Bytes=3D4620) 2 1 INDEX (RANGE SCAN) OF 'AIA_INDX_PR01' (NON-UNIQUE) (Cost =3D4 Card=3D110 Bytes=3D3080) 3 1 TABLE ACCESS (BY INDEX ROWID) OF 'ADDS_USERS' (Cost=3D2 Ca rd=3D1 Bytes=3D14) 4 3 INDEX (UNIQUE SCAN) OF 'AUSR_PK' (UNIQUE) Statistics ---------------------------------------------------------- 0 recursive calls 0 db block gets 1321 consistent gets 864 physical reads 0 redo size 513 bytes sent via SQL*Net to client 652 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed Now, that plan looks quite reasonable, but, 1321 buffer gets is too many, not to mention the physical I/O. This is a very frequently called SQL statement. So, I tried: re-creating ADDS_USERS ordered by AUSR_ID, to improve AUSR_PK index clustering factor. No use. creating AUTHORIZED_IP_ADDRESSES as an IOT. Also useless. So, I went back to SQL hacking, and finally came up with the somewhat odd looking, but effective: SELECT (select A.AUSR_LOGIN_SCREEN_NAME FROM ADDS_USERS A where a.ausr_id =3D b.ausr_id) from AUTHORIZED_IP_ADDRESSES B WHERE :B1 BETWEEN B.AIA_IP_ADDRESS_START AND B.AIA_IP_ADDRESS_END; which produces an output like: Execution Plan ---------------------------------------------------------- 0 SELECT STATEMENT Optimizer=3DCHOOSE (Cost=3D2 Card=3D110 = Bytes=3D308 0) 1 0 TABLE ACCESS (BY INDEX ROWID) OF 'ADDS_USERS' (Cost=3D2 Card =3D1 Bytes=3D14) 2 1 INDEX (UNIQUE SCAN) OF 'AUSR_PK' (UNIQUE) (Cost=3D1 = Card=3D1 ) 3 0 INDEX (RANGE SCAN) OF 'AIA_INDX_PR01' (NON-UNIQUE) (Cost=3D4 Card=3D110 Bytes=3D3080) Statistics ---------------------------------------------------------- 0 recursive calls 0 db block gets 67 consistent gets 0 physical reads 0 redo size 562 bytes sent via SQL*Net to client 652 bytes received via SQL*Net from client 2 SQL*Net roundtrips to/from client 0 sorts (memory) 0 sorts (disk) 1 rows processed Now, that's a bit odd looking plan, but, look at those consistent gets! Down to 67 from 1321! So, I guess what I'm wondering is why this re-write is so effective? I'm happy that I found a solution, but, I'm curious what's going on here. Intuitively, I'm thinking that all I'm doing with the re-write is forcing the optimizer to do what it seems to claim to be already doing with the original version . With the scalar subquery, it seems the nested loop join is implicit in the select statement. Well, anyhow, I thought this was pretty odd. Thoughts, anyone? -Mark -- Mark J. Bobak Oracle DBA ProQuest Company Ann Arbor, MI "On two occasions, I have been asked [by members of Parliament], "Pray, Mr. Babbage, if you put into the machine wrong figures, will the right answers come out?' I am not able to rightly apprehend the kind of confusion of ideas that could provoke such a question." -- Charles Babbage (1791-1871) -- //www.freelists.org/webpage/oracle-l