Can somebody help me to optimize this huge query?

Hi,

here is a query on two tables whith lots of self joins which just
takes hours to complete on 7.2.1. I use multi dimensional
indices which are shown in the explain comments. My question is how
can I use explicit join syntax to let the planner do better. I
think Geoq does not match yet because there are only 2 tables. The
schema behind models abtract document objects.

Here is the query:

SELECT DISTINCT t_sek.docindex, t_sek.envelope, bt.oid, bt.time
FROM boxinfo bt, boxinfo bd, boxinfo bo, docobj t_sek, docobj t_pgr, docobj t_sta, docobj t_sol, docobj d_pnr, docobj
d_sta,docobj o_sek, docobj o_pgr, docobj o_pnr
 
WHERE t_sek.docspec=124999684 and t_pgr.docspec=124999684 and t_sol.docspec=124999684 and t_sta.docspec=124999684 and
 d_pnr.docspec=15378692 and d_sta.docspec=15378692 and o_sek.docspec=125075754 and o_pgr.docspec=125075754 and
o_pnr.docspec=125075754and bt.community=15042052 and bd.community=15042052 and bo.community=15042052 and
 
 bt.member=111459733 and bd.member=111459733 and bo.member=111459733 and bt.hide=FALSE and bd.hide=FALSE and
bo.hide=FALSEand
 
 o_sek.attrid=1 and o_pgr.attrid=4 and t_sek.attrid=0 and t_pgr.attrid=2 and t_sta.attrid=9 and t_sol.attrid=4 and
d_pnr.attrid=6and d_sta.attrid=16 and abstime(bd.time)::date > t_sol.val_date and t_sol.val_date <= now()::date and
 
 o_sek.val_str=t_sek.val_str and o_pgr.val_str=t_pgr.val_str and o_pnr.val_str=d_pnr.val_str and
t_sta.val_str=d_sta.val_strand
 
 o_sek.envelope=o_pgr.envelope and o_sek.envelope=o_pnr.envelope and o_sek.docindex=o_pgr.docindex and
o_sek.docindex=o_pnr.docindexand
 
 t_sek.envelope=t_pgr.envelope and t_sek.envelope=t_sta.envelope and t_sek.envelope=t_sol.envelope and
t_sek.docindex=t_pgr.docindexand t_sek.docindex=t_sta.docindex and t_sek.docindex=t_sol.docindex and
 
 d_pnr.envelope=d_sta.envelope and d_pnr.docindex=d_sta.docindex and
 bt.envelope=t_sek.envelope and  bd.envelope=d_pnr.envelope and bo.envelope=o_sek.envelope


Here is what explain says:
Unique  (cost=3395.39..3395.40 rows=1 width=212) ->  Sort  (cost=3395.39..3395.39 rows=1 width=212)       ->  Nested
Loop (cost=0.00..3395.38 rows=1 width=212)             ->  Nested Loop  (cost=0.00..3389.37 rows=1 width=190)
       ->  Nested Loop  (cost=0.00..3383.35 rows=1 width=168)                         ->  Nested Loop
(cost=0.00..3369.99rows=1 width=146)                               ->  Nested Loop  (cost=0.00..3363.98 rows=1
width=124)                                    ->  Nested Loop  (cost=0.00..3149.05 rows=36 width=102)
                       ->  Nested Loop  (cost=0.00..2727.76 rows=1 width=94)
    ->  Nested Loop  (cost=0.00..2719.21 rows=1 width=82)                                                       ->
NestedLoop  (cost=0.00..1813.58 rows=107 width=60)                                                             ->
NestedLoop  (cost=0.00..1392.83 rows=1 width=48)                                                                   ->
NestedLoop  (cost=0.00..1325.31 rows=11 width=26)
 ->  Index Scan using boxinfo_j_index on boxinfo bo  (cost=0.00..419.68 rows=107 width=4)
                                         ->  Index Scan using docobj_j_index on docobj o_sek  (cost=0.00..8.44 rows=1
width=22)                                                                  ->  Index Scan using docobj_j_index on
docobjo_pgr  (cost=0.00..6.00 rows=1 width=22)                                                             ->  Index
Scanusing boxinfo_j_index on boxinfo bt  (cost=0.00..419.68 rows=107 width=12)
            ->  Index Scan using docobj_j_index on docobj t_sta  (cost=0.00..8.44 rows=1 width=22)
                          ->  Index Scan using docobj_j_index on docobj t_sol  (cost=0.00..6.01 rows=1 width=12)
                                  ->  Index Scan using boxinfo_j_index on boxinfo bd  (cost=0.00..419.68 rows=107
 
width=8)                                     ->  Index Scan using docobj_j_index on docobj t_pgr  (cost=0.00..6.00
rows=1width=22)                                ->  Index Scan using docobj_j_index on docobj o_pnr  (cost=0.00..5.99
rows=1width=22)                         ->  Index Scan using docobj_env_index on docobj d_pnr  (cost=0.00..13.34 rows=2
width=22)                  ->  Index Scan using docobj_j_index on docobj t_sek  (cost=0.00..6.00 rows=1 width=22)
     ->  Index Scan using docobj_j_index on docobj d_sta  (cost=0.00..6.00 rows=1 width=22)
 


Maybe there are just too many joins :/

Dirk