One query on two databases acts differently.
Hi - this is a doozy. I'd Ask Tom but I think he's busy...
Database-A = PRODUCTION
Database-B = TEST
Both databases run 9.2.0.8, the parameter files in use are the same (so all optimizer settings etc are equal). The table spaces were created equally.
One difference is that 'A' uses an overloaded SAN and 'B' is on a different one with plenty of bandwidth - though the problem sounds to me like a database optimizer issue, anyway...
'B' schema was created from export/import of 'A'.
The schemas have both been analyzed the same way (and both do each night).
The problem is here that on 'B' the query uses the PK index on one of the tables whereas on 'A' the same query does not use the PK index.
Note: There are slightly fewer rows in 'B' as 'A' is prod and getting updated.
Already ruled out:
optimizer_index_cost_adj: this is set to 100 on both databases and dropping it to 50, 10, 5 and 1 on 'A' does not make the optimizer favour the index.
Stored outlines may not be an option for this query as we cannot alter the application code and the query changes....
Any ideas where should I look next?
Ta!
Thanks to both the above comments.
I did think about the data clustering but I kept
coming back to why the optimizer on 'A' said "I want
a full table scan" and 'B' says, "oh hey, there's an
index, I'll use that".This has nothing to do with clustering data.
http://download.oracle.com/docs/cd/B19306_01/server.102/b14237/statviews_1069.htm#i1578369 - look for 'Clustering Factor'
Also see Note:39836.1
IN a nutshell - it tells the system how bad an index could be when considering the organization of the table. A table (not index) reorg could easily change the clustering factor, give the same index for the same table with exactly the same data (but different row order) a completely different value.
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SQL>Message was edited by:
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13 select 5555,'DEF',6667,'TST','CUST' from dual union all
14 select 5555,'DEF',9667,'TST','CUST' from dual union all
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16 )
17 select account_ID,
18 product_code,
19 cust_id,
20 relationship_code,
21 entity_code
22 from (
23 select account_ID,
24 product_code,
25 cust_id,
26 relationship_code,
27 entity_code,
28 case max(case relationship_code when 'SOL' then 1 else 0 end) over(partition by account_ID)
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34 where rnk = 1
35 /
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1111 ABC 1234 SOL CUST
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