Kenneth Marshall wrote:
I agree with the goal of avoiding the need for a GUC. This needs to
be as automatic as possible. One idea I had had was computing a value
for the amount of cache data in the system by keeping a sum or a
weighted sum of the table usage in the system. Smaller tables and
indexes would contribute a smaller amount to the total, while larger
indexes and tables would contribute a larger amount. Then by comparing
this running total to the effective_cache_size, set the random and
sequential costs for a query. This would allow the case of many 4MB
tables to favor disk I/O more than memory I/O. The weighting could
be a function of simultaneous users of the table. I know this is a
bit of hand-waving but some sort of dynamic feedback needs to be
provided to the planning process as system use increases.

Regards,
Ken

Kenneth, you seem to be only concerned with the accuracy of the planning process, not with the plan stability. As a DBA who has to monitor real world applications, I find things like an execution plan changing with the use of the system to be my worst nightmare. The part where you say that "this needs to be as automatic as possible" probably means that I will not be able to do anything about it, if the optimizer, by any chance, doesn't get it right. That looks to me like an entirely wrong way to go. When application developer tunes the SQL both him and me expect that SQL to always perform that way, not to change the execution plan because the system is utilized more than it was 1 hour ago. Nobody seems to have taken my suggestion about having a parameter which would simply "invent" the percentage out of thin air seriously, because it's obviously not accurate. However, the planner accuracy is not the only concern. Running applications on the system usually requires plan stability. Means of external control of the execution plan, DBA knobs and buttons that can be turned and pushed to produce the desired plan are also very much desired.

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Mladen Gogala Sr. Oracle DBA
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New York, NY 10036
(212) 329-5251
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