Questions in dbms_stats parameter

Hello, I am using oracle9i.
I have couple of questions when i read this help...
http://download.oracle.com/docs/cd/B19306_01/appdev.102/b14258/d_stats.htm#i1036461
I would appreciate if any one could answers my questions.
Question1
=======
Method_opt parameter.
- AUTO : Oracle determines the columns to collect histograms based on data distribution and the workload of the columns.
- SKEWONLY : Oracle determines the columns to collect histograms based on the data distribution of the columns.
I understand about SKEWONLY. In AUTO determine the column based on data distribution and workload of the columns... What is workload of the column? Is this based on how many queries run based on that column? How does oracle track this?
Question2
======
Method_opt Parameter.
SIZE integer
My understanding is, when we specify size 1, then it creates only one bucket. Even though, we have more then one distinct value in the column.
Let us say, we have 10 distinct values in a column, if we specify SIZE 5, then it creates only 5 bucket. But we have 10 distinct values... How does this work in this scenario?
Let us say, we have 5 distinct values in a column, if we specify SIZE 10, then it creates 10 bucket. But we have 5 distinct values... How does this work in this scenario?

There is a table called col_usage$ that stores information about column usage. The dbms_stats package uses this to determine whether on not a histogram will be gathered on a given column. How it determines whether or not to gather histograms from the given data I don't know exactly.
size 1 means that there is no histogram as all values are in a single bucket.
10 Distinct values and only 5 buckets, means you get height balanced histograms and you will evenly spread sampled values through the buckets.
You will have a max and min values. The optimizer uses a formula which estimates selectivity by a range of factors such as min max value in a bucket, size of the bucket, number of values per bucket, and how popular a given value is(number of buckets value appears in)
5 Distinct values and 10 buckets, give you a frequency histograms. You will only have 5 buckets each with 1 value. There is no point in having an empty bucket. Frequency histograms are more accurate as the exact number of occurrences of a given value are known. They calculate selectivity based on the number of occurrences of a value per bucket over the total number of occurrences of all values.

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Eric (guest) wrote:
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