Re: What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
- From: "Niall Litchfield" <niall.litchfield@xxxxxxxxx>
- To: sac@xxxxxxxxxxxxx
- Date: Fri, 2 Jun 2006 20:05:35 +0100
Hi
It isn't documented and is subject to change from version to version and
patchset to patchset. That all said sql_trace can be enlightening here. You
even get some curious hints to play with in your sandbox.
cheers
Niall
On 6/2/06, Schultz, Charles <sac@xxxxxxxxxxxxx> wrote:
I am curious how the algorithms behind DBMS_STATS.AUTO_SAMPLE_SIZE actually
pick a sample size (10.2.0.1). We have witnessed a case where the sample
size for a particular column was reduced 91.6%, causing the number of
distinct values to be inaccurate, further causing a query to choose an FTS
rather than an index. As far as I can tell, the skew has not changed that
much, if at all, and the overall volume has increased by ~1%.
I am aware of workarounds (compute stats, lock stats, use an outline,
etc), but like I said, I am really curious why the algorithm made such a
drastic jump in the first place. I could not easily locate an appropriate
white paper on metalinks, and I get too many hits on Google. Can anyone help
satiate my burning desire to know? =)
*charles schultz*
*oracle dba*
*aits - adsd*
*university of illinois*
--
Niall Litchfield
Oracle DBA
http://www.orawin.info
- References:
- What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
- From: Schultz, Charles
Other related posts:
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- » RE: What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
- » RE: What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
- » RE: What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
- » Re: What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
I am curious how the algorithms behind DBMS_STATS.AUTO_SAMPLE_SIZE actually pick a sample size (10.2.0.1). We have witnessed a case where the sample size for a particular column was reduced 91.6%, causing the number of distinct values to be inaccurate, further causing a query to choose an FTS rather than an index. As far as I can tell, the skew has not changed that much, if at all, and the overall volume has increased by ~1%.
I am aware of workarounds (compute stats, lock stats, use an outline, etc), but like I said, I am really curious why the algorithm made such a drastic jump in the first place. I could not easily locate an appropriate white paper on metalinks, and I get too many hits on Google. Can anyone help satiate my burning desire to know? =)
*charles schultz* *oracle dba* *aits - adsd* *university of illinois*
- What are the gory details behind DBMS_STATS.AUTO_SAMPLE_SIZE?
- From: Schultz, Charles