> [EMAIL PROTECTED] writes:
>> I suspect that analyze only samples a very small amount of the database
>> and gets the wrong idea about it. Is there a way to force analyze to
>> sample more rows?
>
> default_statistics_target. But let's see the pg_stats rows for these
> columns before assuming that analyze is getting it wrong.
Some more info:
I did a select count(distinct(tlid)) from rt2, and updated the statistics
with the result:
tiger=# update pg_statistic set stadistinct = 23656799 where starelid =
17236 and staattnum = 1;
UPDATE 1
tiger=# explain select * from rt1, rt2 where rt1.tlid = rt2.tlid and (zipr
tiger(# = 2186 or zipl=2186);
QUERY PLAN
-----------------------------------------------------------------------------------------------
Nested Loop (cost=0.00..425517.95 rows=21315 width=520)
-> Index Scan using rt1_zipr, rt1_zipl on rt1 (cost=0.00..121893.93
rows=30835 width=302)
Index Cond: ((zipr = 2186) OR (zipl = 2186))
-> Index Scan using rt2_tlid on rt2 (cost=0.00..9.82 rows=2 width=218)
Index Cond: ("outer".tlid = rt2.tlid)
(5 rows)
tiger=# SELECT attname, n_distinct, most_common_vals FROM pg_stats
WHERE tablename = 'rt1';
attname | n_distinct |
most_common_vals
-----------+------------+-----------------------------------------------------------------------------------------------------------------------
tlid | -1 |
side1 | 1 | {1}
source | 9 | {B,J,A,K,L,N,O,M,C}
fedirp | 8 | {N,E,S,W,SW,NE,NW,SE}
fename | 2590 | {Main,1st,Oak,2nd,9th,"Burlington Northern Santa
Fe R",Park,4th,11th,8th}
fetype | 26 | {Rd,St,Ave,Dr}
fedirs | 9 | {NE,SE,N,E,NW,SW,W,S,O}
cfcc | 51 | {A41,H12,H11,F10,A74,A31,H01}
fraddl | 767 | {1,101,2,201,301,401,100,701,298,500}
toaddl | 805 | {199,399,299,499,98,198,99,1,100,2}
fraddr | 765 | {2,1,100,200,400,300,700,101,501,299}
toaddr | 772 | {198,398,298,498,99,98,199,101,1,1098}
friaddl | 3 | {0,1,2}
toiaddl | 3 | {0,1,2}
friaddr | 3 | {0}
toiaddr | 3 | {0}
zipl | 925 |
zipr | 899 |
aianhhfpl | 42 |
aianhhfpr | 43 |
aihhtlil | 2 |
aihhtlir | 2 |
statel | 55 | {48,06,12,37,29,42,17,36,13,39}
stater | 55 | {48,06,12,37,29,42,17,36,13,39}
countyl | 189 | {005,059,013,029,003,001,017,009,031,043}
countyr | 191 | {005,059,013,001,003,029,017,025,031,043}
cousubl | 2568 |
{92601,91800,90270,90240,90468,90572,91508,91750,60000,90324}
cousubr | 2598 |
{92601,91800,90270,90240,90468,90572,91248,91750,60000,90324}
submcdl | -1 |
submcdr | -1 |
placel | 778 |
{51000,65000,44000,12000,38000,60000,63460,07000,04000,22000}
placer | 787 |
{51000,65000,12000,44000,60000,07000,38000,55000,63460,04000}
tractl | 1370 |
{950200,950100,950300,000100,970100,960100,980100,950700,970300,990100}
tractr | 1354 |
{950200,950100,950300,000100,970100,960100,990100,950700,980100,970300}
blockl | 1050 | {1000,2000,1001,1003,1005,2001,1009,2006,1002,1004}
blockr | 1055 | {1000,2000,1001,1002,1003,1005,1004,1009,2004,2002}
frlong | 134476 |
{-120.214657,-113.074100,-106.494480,-103.306945,-100.184470,-100.083614,-99.476994,-98.420248,-97.325498,-93.349865}
frlat | 143222 |
{27.759896,29.251454,29.898585,30.093247,31.814071,31.950913,32.055726,32.377503,32.523607,32.607387}
tolong | 317744 |
{-123.330861,-111.673035,-107.596898,-103.164000,-100.945693,-100.080307,-99.576886,-99.492719,-97.743722,-93.870222}
tolat | 278079 |
{27.493816,27.904316,29.691644,32.731410,33.350429,34.490563,35.551053,35.868297,39.139185,40.068098}
(40 rows)
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