Hi,
I have that:
1)
db=> explain select pxygy_pid from prog_dgy_xy where pxygy_pid=12121;
NOTICE: QUERY PLAN:
Group (cost=0.00..29970.34 rows=921 width=4) -> Index Scan using progdgyxy_idx2 on prog_dgy_xy
(cost=0.00..29947.32 rows=9210 width=4)
than:
2)
db=> explain select pxygy_pid from prog_dgy_xy where pxygy_pid>12121;
NOTICE: QUERY PLAN:
Group (cost=66927.88..67695.39 rows=30700 width=4) -> Sort (cost=66927.88..66927.88 rows=307004 width=4) ->
SeqScan on prog_dgy_xy (cost=0.00..32447.66 rows=307004
width=4)
I making some banchmarks on: oracle vs postgres vs mysql. And this is
breaking me now;) Mysql and oracle width same table and index use that
index on pxygy_pid;
I had vacuum before.
Time with mysql:
bash-2.04$ time echo " select count(*) from PROG_DGY_XY where
pxygy_pid>12121;" | mysql -uuser -ppasswd db
count(*)
484984
real 0m13.761s
user 0m0.008s
sys 0m0.019s
Time with postgres:
bash-2.04$ time echo "select count(*) from PROG_DGY_XY where
pxygy_pid>12121 " | psql -Uuser db count
-------- 484984
(1 row)
real 0m22.480s
user 0m0.011s
sys 0m0.021s
And this is just a little part of another selects joining tables, but
because this index is not used, selecting from 2 tables (which has
indexes, and keys on joining collumns) takes extrem time for postgres:
2m14.978s while for mysql it takes: 0m0.578s !!!
this select is: select distinct
PROG_ID,PROG_FTYPE,PROG_FCASTHOUR,PROG_DATE from PROG_DATA, PROG_DGY_XY where prog_id=pxygy_pid order by
prog_date,prog_ftype,prog_fcasthour
indexes:
PROG_DATA:
create index prod_data_idx1 on prog_data
(prog_date,prog_ftype,prog_fcasthour);
prog_id is primary key
PROG_DGY_XY:
create unique index progdgyxy_idx1 on PROG_DGY_XY
(PXYGY_PID,PXYGY_X,PXYGY_Y);
create index progdgyxy_idx2 on PROG_DGY_XY (PXYGY_PID);
Thx
CoL
