| Time |
Node |
| Node (ms) |
Percent |
| 34.266 |
100.00% |
¶ |
Aggregate (cost=221.93..221.93 rows=1 width=4) (actual time=34.262..34.266 rows=1 loops=1)
|
| 34.237 |
99.92% |
¶ |
-> Hash Left Join (cost=9.07..220.86 rows=426 width=4) (actual time=34.237..34.237 rows=0 loops=1)
Hash Cond: ("outer".tid = "inner".tid)
Filter: ("inner".tid IS NULL)
|
| 0.512 |
1.49% |
¶ |
-> Index Scan using axp_temp_order_match_idx1 on axp_temp_order_match a (cost=0.0..209.65 rows=426 width=4) (actual time=0.277..0.512 rows=6 loops=1)
Index Cond: (sid = 16072)
|
| 32.777 |
95.65% |
¶ |
-> Hash (cost=9.07..9.07 rows=1 width=4) (actual time=32.777..32.777 rows=0 loops=1)
|
| 31.563 |
92.11% |
¶ |
-> Nested Loop (cost=0.0..9.07 rows=1 width=4) (actual time=0.208..31.563 rows=284 loops=1)
|
| 20.684 |
60.36% |
¶ |
-> Nested Loop (cost=0.0..6.05 rows=1 width=4) (actual time=0.178..20.684 rows=552 loops=1)
|
| 3.973 |
11.59% |
¶ |
-> Index Scan using axp_dayschedule_day_idx on axp_dayschedule ds (cost=0.0..3.02 rows=1 width=8) (actual time=0.036..3.973 rows=610 loops=1)
Index Cond: (("day" >= '2005-05-12'::date) AND ("day" <= '2005-05-12'::date))
Filter: (used = B'1'::"bit")
|
| 7.930 |
23.14% |
¶ |
-> Index Scan using axp_order_orid_key on axp_order o (cost=0.0..3.02 rows=1 width=4) (actual time=0.009..0.013 rows=1 loops=610)
Index Cond: ("outer".orid = o.orid)
Filter: (status >= 100)
|
| 4.416 |
12.89% |
¶ |
-> Index Scan using axp_order_line_pk on axp_order_line ol (cost=0.0..3.01 rows=1 width=8) (actual time=0.006..0.008 rows=1 loops=552)
Index Cond: (ol.olid = "outer".olid)
|
ANALYZEto update the server's statistics.EXPLAINand interpreting its output, see the Postgres documentation, in particular theEXPLAINandANALYZEreferences pages, and Using Explain.