Re: Append Cost in query planners

Heikki,

Thanks for your reply. Will try to do the changes and rivert back. I had one
more requirement for partitioning.

I wanted to inherit two different tables for partition. Below is the query
used to create the table, an crete the inheritance.

CREATE TABLE metrics_d20070601 (CHECK (sqldate = '20070601')) INHERITS
(metrics, date);

Further more we are using the below mentioned query:

SELECT rs.id AS sid, rs.name AS sname, rc.id AS cid, rc.name AS cname,
rc.type AS rtype, rc.act_type AS acttype, ra.id AS adid, ra.name AS avname,
rch.id AS chid, rch.name AS chname, rcr.dim AS dim, SUM(metrics.imp_del) AS
imp, SUM(metrics.clidel) AS cli, date.sqldate AS date, rg.id AS gid
FROM metrics, rn CROSS JOIN date, ra, rs, rc, rch, rcr, rg
WHERE metrics.netkey = rn.key
AND rn.id = 10
AND metrics.advkey = ra.key
AND metrics.campkey = rc.key
AND metrics.skey = rs.key
AND metrics.chkey = rch.key
AND metrics.cr_key = rcr.key
AND date.sqldate BETWEEN '6/01/2007' AND '6/01/2007'
AND metrics.gkey = rg.key
GROUP BY date.sqldate, rs.id, rs.name, ra.id, ra.name, rc.id, rc.name,
rc.rev_type, rc.act_type, rch.id, rch.name, rcr.dim, rg.id;

And the query execution plan is as below

QUERY
PLAN

------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
GroupAggregate (cost=589766.28..651315.41 rows=1119075 width=127)
-> Sort (cost=589766.28..592563.97 rows=1119075 width=127)
Sort Key: public.date.sqldate, rs.id, rs.name, ra.id, ra.name,
rc.id, rc.name, rc.rtype, rc.act_type, rch.id, rch.name, rcr.dim, rg.id
-> Hash Join (cost=64914.87..433619.51 rows=1119075 width=127)
Hash Cond: ("outer".adv_key = "inner"."key")
-> Hash Join (cost=64419.08..402349.16 rows=1119075
width=111)
Hash Cond: ("outer".s_key = "inner"."key")
-> Hash Join (cost=63827.54..368185.38 rows=1119075
width=96)
Hash Cond: ("outer".campkey = "inner"."key")
-> Hash Join
(cost=61339.00..323731.53rows=1119075 width=66)
Hash Cond: ("outer".chkey = "inner"."key")
-> Hash Join
(cost=59480.62..293896.26rows=1119075 width=46)
Hash Cond: ("outer".cr_key =
"inner"."key")
-> Hash Join (cost=
51298.73..243749.06 rows=1119075 width=48)
Hash Cond: ("outer".gkey =
"inner"."key")
-> Hash Join (cost=
51051.50..204334.21 rows=1119075 width=48)
Hash Cond:
(("outer".netkey = "inner"."key") AND ("outer".date_key = "inner"."key"))
-> Append (cost=
0.00..51795.56 rows=1901256 width=48)
-> Seq Scan on
metrics (cost=0.00..25614.71 rows=940271 width=48)
-> Seq Scan on
metrics_d20070601 metrics (cost=0.00..26180.85 rows=960985 width=48)
-> Hash (cost=
40615.57..40615.57 rows=960986 width=16)
-> Nested Loop
(cost=0.00..40615.57 rows=960986 width=16)
-> Index
Scan using rpt_netw_key_idx on rn (cost=0.00..16.92 rows=1 width=4)
Filter:
(id = 10)
-> Append
(cost=0.00..30988.79 rows=960986 width=12)
->
Index Scan using rpt_dt_sqldt_idx on date (cost=0.00..3.02 rows=1 width=12)

Index Cond: ((sqldate >= '2007-06-01 00:00:00'::timestamp without time zone)
AND (sqldate <= '2007-06-01 00:00:00'::timestamp without time zone))
-> Seq
Scan on metrics_d20070601 rpt_date (cost=0.00..30985.78 rows=960985
width=12)

Filter: ((sqldate >= '2007-06-01 00:00:00'::timestamp without time zone) AND
(sqldate <= '2007-06-01 00:00:00'::timestamp without time zone))
-> Hash
(cost=223.18..223.18rows=9618 width=8)
-> Seq Scan on rg
(cost=0.00..223.18 rows=9618 width=8)
-> Hash
(cost=7367.71..7367.71rows=325671 width=6)
-> Seq Scan on rc (cost=
0.00..7367.71 rows=325671 width=6)
-> Hash (cost=1652.51..1652.51 rows=82351
width=28)
-> Seq Scan on rch (cost=
0.00..1652.51 rows=82351 width=28)
-> Hash (cost=2283.83..2283.83 rows=81883
width=38)
-> Seq Scan on rc
(cost=0.00..2283.83rows=81883 width=38)
-> Hash (cost=520.63..520.63 rows=28363 width=23)
-> Seq Scan on rs (cost=0.00..520.63 rows=28363
width=23)
-> Hash (cost=435.63..435.63 rows=24063 width=24)
-> Seq Scan on radv (cost=0.00..435.63 rows=24063
width=24)
(41 rows)

Can you let me know how we can avoid the double looping on the metrics
table. This been a big table causes the queries to slowdown.

Regards & Thanks,
Nimesh.

On 10/28/07, Heikki Linnakangas <heikki(at)enterprisedb(dot)com> wrote:
>
> Nimesh Satam wrote:
> > Following is the full plan of the query using partition. Let me know if
> you
> > need any further information.
>
> What indexes are there on the table partitions? You didn't post the
> query, but it looks like your doing a join between rpt_network and the
> partitioned table. An index on the join key might help...
>
> --
> Heikki Linnakangas
> EnterpriseDB http://www.enterprisedb.com
>