Oracle Performance Firefighting
by Craig Shallahamer

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The text below is an except from the book, Oracle Performance Firefighting, written by Craig Shallahamer of OraPub, Inc. Figures and tables are not included on this page, only their reference.
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©2009, 2010 by Craig Shallahamer. This is copyrighted material.
Please—Out of respect for those involved in the creation of the book and also for their familes, we ask you to respect the copyright both in intent and deed. Thank you.

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This is indeed the situation with Oracle! Oracle blocks are not randomly accessed because SQL is not randomly run from random users doing random tasks (at least, we hope not). So unless Oracle uses a more advanced hashing algorithm, the hashed results can easily look like those in Figure 6-8. This forces Oracle to develop a specific hashing function to transform a Figure 6-8 situation into a Figure 6-7 situation. As you might expect, Oracle's buffer hashing algorithm is proprietary information, but I would be willing to wager that prime numbers are involved somehow.

Figure 6-8. Given nonrandom numbers, a simple modulus hash function is not likely to produce an even distribution, but more like what this figure shows. This graph is based on 1,000 inputs, the first 500 between 0 and 5, and the remaining 500 between 0 and 1,000.

When Oracle is searching for a buffer, the hash value is created based on a combination of the block's file number and block number, which is known as the data block address (DBA). So the hash function essentially hashes on the buffer's file number and block number. It is a very convenient situation and allows for a very quick hash.

©2009, 2010 by Craig Shallahamer. This is copyrighted material.
Please—Out of respect for those involved in the creation of the book and also for their familes, we ask you to respect the copyright both in intent and deed. Thank you.


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