
Archives of the TeradataForumMessage Posted: Mon, 26 Jan 2009 @ 13:46:27 GMT
Hi There, I need some important inputs on the way we collect statistics. Below is the example I have 4 tables, each with a single column Primary Index (assume all have same data volume ~ 5 million rows). Below are the tables and their PIs Table A (PI=x1) Table B (PI=y1) Table C (PI=y1) Table D (PI=x2) And, here is the query Select A.x1..., B..., C...., D... from A, B, C, D where A.x1=b.x1 and A.x2=D.x2 and A.x3=100 and A.x4='BMW' and B.y1=C.y1 and b.y2 in ('SFO','LAX') and C.z1 = 11 and C.z2 = '*' and D.r1 <> 'PAK' and D.r2 = '$135000'; Now, the queries follows 1. In the above query, what is the best way to collect stats? Is it on all columns individually? Like.. STATS ON A (x1) STATS ON A (x2) STATS ON A (x3) .... 2. Is it good to collect stats on combination of joining columns and filter columns separately as given below? Assume, we have stats on PI already STATS ON A (x1,x2) STATS ON A (x3,x4) STATS ON B (y2) STATS ON C (z1,z2) STATS on D (r1,r2) STATS on D (x2) ... 3. Or, combination of all columns of a table is good? STATS ON A (x1,x2,x3,x4) STATS ON B (y1,y2) STATS on C (z1,z2,y1) STATS on D (x2,r1,r2) 4. Since there is an inequality condition on D.r1 (D.r1 <> 'PAK'), how the stats should be? 5. Incase conditions the columns D.r1 and D.r2 are ORed together, then how the stats should be? ... and ( D.r1 <> 'PAK' OR D.r2 = '$135000' ) In short, Is it always good to collect stats on individual columns or combination of columns based on joining and filter conditions? In case of later, what is the best way of grouping the columns? Regards, Hari
 
 
Copyright 2016  All Rights Reserved  
Last Modified: 23 Jun 2019  