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Oracle Tips 

by Burleson Consulting

The Data Warehouse Development Life Cycle

Parallelism And Oracle Data Warehousing

Tuning The Parallel Server

Here is a very simple approach to the tuning of a parallel server warehouse.

* Monitor statistics independently for each Oracle instance. The goal should be to minimize physical I/O by tuning the buffer cache and providing input into an overall load plan. For example, if we discover one instance is heavily loaded when compared to other instances, we can take a look at the partitioning of tasks and rebalance the load by moving tasks onto other instances.

* Monitor each instance's buffer cache, looking for common data blocks. If the same data blocks show up in multiple buffer caches, move one of the tasks into a common Oracle instance. Remember, the idea of tuning parallel server is to segregate common tasks into common instances.

* Monitor for multiple tasks that modify rows on the same block. When multiple tasks contend for the updating of rows on the same data block, adding freelists or freelist groups may relieve the bottleneck.

* Monitor the DLM for lock conversions. If the maximum lock convert rate for your DLM has been reached, you will need to repartition the application to balance “alike” transactions into common instances.

It should be apparent that the inherent complexity of parallel processing makes it very difficult to come up with generic tuning techniques. Every parallel system is unique, and the Oracle professional must analyze each system carefully, considering its unique structure and behavior.


This is an excerpt from "High Performance Data Warehousing".

If you like Oracle tuning, you may enjoy the book Oracle Tuning: The Definitive Reference , with over 900 pages of BC's favorite tuning tips & scripts. 

You can buy it directly from the publisher and save 30%, and get instant access to the code depot of Oracle tuning scripts.

 


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