BUG #14948: cost overflow
От | jasc@gmx.net |
---|---|
Тема | BUG #14948: cost overflow |
Дата | |
Msg-id | 20171205105924.27108.93509@wrigleys.postgresql.org обсуждение исходный текст |
Ответы |
Re: BUG #14948: cost overflow
(Alvaro Herrera <alvherre@2ndquadrant.com>)
Re: BUG #14948: cost overflow (Tom Lane <tgl@sss.pgh.pa.us>) |
Список | pgsql-bugs |
The following bug has been logged on the website: Bug reference: 14948 Logged by: Jan Schulz Email address: jasc@gmx.net PostgreSQL version: 10.1 Operating system: Linux (Ubuntu 16.04 LTS + HWE) Description: Hello, I was asked on twitter to post this issue to the bugs list. We have a server which reports negative costs in a query plan: GroupAggregate (cost=-25142102027752040829944596389028691968.00..-25142102027752040829944596389028691968.00 rows=1600000000 width=254) On one system it looks funny, on other systems it looks normal (see query plans for the same query on different systems/environments). The background for this is a server getting killed by OOM killer and we are currently debugging this: we have work_mem set to 2GB and since a few days we have crashes with these settings which we haven't yet pin to a root cause -> this might be related to these crashes or it might be a result of this crashes, but it looks funny in any case. Thanks, Jan Full EXPLAIN (ANALYSE BUFFERS) on the funny looking system: GroupAggregate (cost=-25142102027752040829944596389028691968.00..-25142102027752040829944596389028691968.00 rows=1600000000 width=254) (actual time=1.640..1.640 rows=0 loops=1) Group Key: "*SELECT* 1".sendid_fk, "*SELECT* 1".campaign_fk, ('-1'::smallint), (('-1'::smallint)::integer) Buffers: shared hit=11 -> Sort (cost=-25142102027752040829944596389028691968.00..-25142102027752040829944596389028691968.00 rows=16812456500 width=120) (actual time=1.638..1.638 rows=0 loops=1) Sort Key: "*SELECT* 1".sendid_fk, "*SELECT* 1".campaign_fk, ('-1'::smallint), (('-1'::smallint)::integer) Sort Method: quicksort Memory: 25kB Buffers: shared hit=11 -> Append (cost=329985.38..-25142102027752040829944596389028691968.00 rows=16812456500 width=120) (actual time=1.621..1.621 rows=0 loops=1) Buffers: shared hit=11 -> Subquery Scan on "*SELECT* 1" (cost=329985.38..462708.80 rows=3537400 width=120) (actual time=0.077..0.077 rows=0 loops=1) Buffers: shared hit=6 -> Merge Right Join (cost=329985.38..418491.30 rows=3537400 width=118) (actual time=0.076..0.076 rows=0 loops=1) Merge Cond: (cm.campaign_name = ev.campaign_name) Buffers: shared hit=6 -> Index Scan using campaign__campaign_name on campaign cm (cost=0.15..67.80 rows=1310 width=34) (actual time=0.015..0.015 rows=1 loops=1) Buffers: shared hit=2 -> Sort (cost=329985.23..331335.38 rows=540061 width=74) (actual time=0.058..0.058 rows=0 loops=1) Sort Key: ev.campaign_name Sort Method: quicksort Memory: 25kB Buffers: shared hit=4 -> Merge Right Join (cost=270456.49..278563.96 rows=540061 width=74) (actual time=0.049..0.049 rows=0 loops=1) Merge Cond: (et.event_type_name = ev.event_type) Buffers: shared hit=4 -> Sort (cost=90.93..94.20 rows=1310 width=32) (actual time=0.025..0.025 rows=1 loops=1) Sort Key: et.event_type_name Sort Method: quicksort Memory: 25kB Buffers: shared hit=1 -> Seq Scan on event_type et (cost=0.00..23.10 rows=1310 width=32) (actual time=0.006..0.007 rows=5 loops=1) Buffers: shared hit=1 -> Sort (cost=270365.57..270571.70 rows=82452 width=74) (actual time=0.023..0.023 rows=0 loops=1) Sort Key: ev.event_type Sort Method: quicksort Memory: 25kB Buffers: shared hit=3 -> Hash Left Join (cost=40461.31..263632.84 rows=82452 width=74) (actual time=0.014..0.014 rows=0 loops=1) Hash Cond: (ev.click_subscriber_key = csu.subscriber_name) Buffers: shared hit=3 -> Hash Left Join (cost=21328.11..243458.68 rows=82452 width=102) (actual time=0.013..0.013 rows=0 loops=1) Hash Cond: (ev.open_subscriber_key = osu.subscriber_name) Buffers: shared hit=3 -> Hash Left Join (cost=2194.91..223284.53 rows=82452 width=130) (actual time=0.012..0.012 rows=0 loops=1) Hash Cond: (ev.sendid = si.sendid_name) Buffers: shared hit=3 -> Bitmap Heap Scan on event ev (cost=2155.44..222204.65 rows=82452 width=160) (actual time=0.012..0.012 rows=0 loops=1) Recheck Cond: (event_day_fk = 20171120) Buffers: shared hit=3 -> Bitmap Index Scan on event__event_day_fk (cost=0.00..2134.82 rows=82452 width=0) (actual time=0.009..0.009 rows=0 loops=1) Index Cond: (event_day_fk = 20171120) Buffers: shared hit=3 -> Hash (cost=23.10..23.10 rows=1310 width=34) (never executed) -> Seq Scan on sendid si (cost=0.00..23.10 rows=1310 width=34) (never executed) -> Hash (cost=11259.20..11259.20 rows=629920 width=36) (never executed) -> Seq Scan on subscriber osu (cost=0.00..11259.20 rows=629920 width=36) (never executed) -> Hash (cost=11259.20..11259.20 rows=629920 width=36) (never executed) -> Seq Scan on subscriber csu (cost=0.00..11259.20 rows=629920 width=36) (never executed) -> Merge Left Join (cost=-25142102027752040829944596389028691968.00..-25142102027752040829944596389028691968.00 rows=16808919100 width=120) (actual time=1.543..1.543 rows=0 loops=1) Merge Cond: (t.customer_fk = cu.customer_id) Buffers: shared hit=5 -> Sort (cost=-25142102027752040829944596389028691968.00..-25142102027752040829944596389028691968.00 rows=16808919100 width=82) (actual time=1.543..1.543 rows=0 loops=1) Sort Key: t.customer_fk Sort Method: quicksort Memory: 25kB Buffers: shared hit=5 -> Nested Loop (cost=-2021924571963149.75..-25142102027752040829944596389028691968.00 rows=16808919100 width=82) (actual time=1.537..1.537 rows=0 loops=1) Join Filter: (si_1.sendid_name = ev_1.sendid) Buffers: shared hit=5 -> HashAggregate (cost=239661.55..242267.55 rows=260600 width=34) (actual time=1.536..1.536 rows=0 loops=1) Group Key: ev_1.sendid, cm_1.campaign_id Buffers: shared hit=5 -> Merge Join (cost=228900.82..236989.10 rows=534491 width=34) (actual time=0.016..0.016 rows=0 loops=1) Merge Cond: (cm_1.campaign_name = ev_1.campaign_name) Buffers: shared hit=5 -> Index Scan using campaign__campaign_name on campaign cm_1 (cost=0.15..67.80 rows=1303 width=34) (actual time=0.007..0.007 rows=1 loops=1) Filter: (campaign_id IS NOT NULL) Buffers: shared hit=2 -> Sort (cost=228900.67..229105.77 rows=82040 width=64) (actual time=0.008..0.008 rows=0 loops=1) Sort Key: ev_1.campaign_name Sort Method: quicksort Memory: 25kB Buffers: shared hit=3 -> Bitmap Heap Scan on event ev_1 (cost=2155.34..222204.55 rows=82040 width=64) (actual time=0.002..0.002 rows=0 loops=1) Recheck Cond: (event_day_fk = 20171120) Filter: (sendid IS NOT NULL) Buffers: shared hit=3 -> Bitmap Index Scan on event__event_day_fk (cost=0.00..2134.82 rows=82452 width=0) (actual time=0.002..0.002 rows=0 loops=1) Index Cond: (event_day_fk = 20171120) Buffers: shared hit=3 -> Nested Loop (cost=-2021924572202811.25..-96477751449547350295223172333568.00 rows=84496365 width=144) (never executed) Join Filter: (ad.ad_group_name = si_1.sendid_name) -> Seq Scan on sendid si_1 (cost=0.00..23.10 rows=1303 width=34) (never executed) Filter: (sendid_id IS NOT NULL) -> Nested Loop (cost=-2021924572202811.25..-74042786991210548153116786688.00 rows=84929134 width=110) (never executed) Join Filter: (t.ad_fk = ad.ad_id) -> Index Scan using ad__ad_group_name on ad (cost=0.42..1415932.35 rows=2157 width=40) (never executed) Filter: (channel_name = 'Email'::text) -> Nested Loop Left Join (cost=-2021924572202811.75..-34326744084937666832891904.00 rows=16977262428 width=86) (never executed) -> Merge Left Join (cost=767470.10..256025144.48 rows=16977262428 width=92) (never executed) Merge Cond: (t.touchpoint_id = rp.touchpoint_fk) -> Merge Left Join (cost=595487.90..1108803.95 rows=34168763 width=68) (never executed) Merge Cond: (t.touchpoint_id = ap.touchpoint_fk) -> Sort (cost=509005.69..509397.99 rows=156921 width=44) (never executed) Sort Key: t.touchpoint_id -> Append (cost=0.00..495463.66 rows=156921 width=44) (never executed) -> Seq Scan on touchpoint t (cost=0.00..0.00 rows=1 width=44) (never executed) Filter: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_0 t_1 (cost=353.49..33026.70 rows=10460 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_0__day_fk (cost=0.00..350.88 rows=10460 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_1 t_2 (cost=353.31..32951.98 rows=10436 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_1__day_fk (cost=0.00..350.70 rows=10436 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_2 t_3 (cost=353.51..33033.17 rows=10462 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_2__day_fk (cost=0.00..350.89 rows=10462 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_3 t_4 (cost=353.21..32910.10 rows=10423 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_3__day_fk (cost=0.00..350.60 rows=10423 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_4 t_5 (cost=353.62..33075.49 rows=10476 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_4__day_fk (cost=0.00..351.00 rows=10476 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_5 t_6 (cost=358.10..33273.80 rows=10538 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_5__day_fk (cost=0.00..355.46 rows=10538 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_6 t_7 (cost=353.21..32913.40 rows=10424 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_6__day_fk (cost=0.00..350.61 rows=10424 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_7 t_8 (cost=353.48..33023.38 rows=10459 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_7__day_fk (cost=0.00..350.87 rows=10459 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_8 t_9 (cost=353.53..33042.77 rows=10465 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_8__day_fk (cost=0.00..350.92 rows=10465 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_9 t_10 (cost=353.66..33094.94 rows=10482 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_9__day_fk (cost=0.00..351.04 rows=10482 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_10 t_11 (cost=353.35..32968.57 rows=10442 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_10__day_fk (cost=0.00..350.74 rows=10442 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_11 t_12 (cost=353.66..33094.59 rows=10482 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_11__day_fk (cost=0.00..351.04 rows=10482 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_12 t_13 (cost=357.94..33211.98 rows=10518 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_12__day_fk (cost=0.00..355.31 rows=10518 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_13 t_14 (cost=352.93..32799.96 rows=10388 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_13__day_fk (cost=0.00..350.34 rows=10388 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Bitmap Heap Scan on touchpoint_14 t_15 (cost=353.53..33042.83 rows=10465 width=44) (never executed) Recheck Cond: (day_fk = 20171120) -> Bitmap Index Scan on touchpoint_14__day_fk (cost=0.00..350.92 rows=10465 width=0) (never executed) Index Cond: (day_fk = 20171120) -> Sort (cost=86482.21..86591.08 rows=43549 width=32) (never executed) Sort Key: ap.touchpoint_fk -> Append (cost=0.00..83126.68 rows=43549 width=32) (never executed) -> Seq Scan on acquisition_performance ap (cost=0.00..0.00 rows=1 width=32) (never executed) Filter: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_0 ap_1 (cost=50.91..5537.62 rows=2901 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_0__performance_attribution_model_fk (cost=0.00..50.18 rows=2901 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_1 ap_2 (cost=50.95..5548.79 rows=2907 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_1__performance_attribution_model_fk (cost=0.00..50.23 rows=2907 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_2 ap_3 (cost=50.95..5547.08 rows=2906 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_2__performance_attribution_model_fk (cost=0.00..50.22 rows=2906 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_3 ap_4 (cost=50.87..5528.44 rows=2896 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_3__performance_attribution_model_fk (cost=0.00..50.14 rows=2896 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_4 ap_5 (cost=50.91..5537.32 rows=2901 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_4__performance_attribution_model_fk (cost=0.00..50.18 rows=2901 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_5 ap_6 (cost=50.95..5546.79 rows=2906 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_5__performance_attribution_model_fk (cost=0.00..50.22 rows=2906 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_6 ap_7 (cost=50.92..5539.61 rows=2902 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_6__performance_attribution_model_fk (cost=0.00..50.19 rows=2902 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_7 ap_8 (cost=50.88..5530.15 rows=2897 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_7__performance_attribution_model_fk (cost=0.00..50.15 rows=2897 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_8 ap_9 (cost=50.88..5530.15 rows=2897 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_8__performance_attribution_model_fk (cost=0.00..50.15 rows=2897 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_9 ap_10 (cost=50.95..5547.08 rows=2906 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_9__performance_attribution_model_fk (cost=0.00..50.22 rows=2906 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_10 ap_11 (cost=50.88..5530.73 rows=2897 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_10__performance_attribution_model_fk (cost=0.00..50.15 rows=2897 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_11 ap_12 (cost=50.99..5555.96 rows=2911 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_11__performance_attribution_model_fk (cost=0.00..50.26 rows=2911 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_12 ap_13 (cost=50.99..5558.25 rows=2912 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_12__performance_attribution_model_fk (cost=0.00..50.27 rows=2912 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_13 ap_14 (cost=50.92..5539.91 rows=2902 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_13__performance_attribution_model_fk (cost=0.00..50.19 rows=2902 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on acquisition_performance_14 ap_15 (cost=50.95..5548.79 rows=2907 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on acquisition_performance_14__performance_attribution_model_fk (cost=0.00..50.23 rows=2907 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Sort (cost=171982.20..172230.63 rows=99373 width=32) (never executed) Sort Key: rp.touchpoint_fk -> Append (cost=0.00..163733.96 rows=99373 width=32) (never executed) -> Seq Scan on reactivation_performance rp (cost=0.00..0.00 rows=1 width=32) (never executed) Filter: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_0 rp_1 (cost=111.52..10860.88 rows=6592 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_0__performance_attribution_model_fk (cost=0.00..109.87 rows=6592 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_1 rp_2 (cost=111.11..10775.38 rows=6540 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_1__performance_attribution_model_fk (cost=0.00..109.48 rows=6540 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_2 rp_3 (cost=111.49..10855.79 rows=6589 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_2__performance_attribution_model_fk (cost=0.00..109.84 rows=6589 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_3 rp_4 (cost=111.30..10814.83 rows=6564 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_3__performance_attribution_model_fk (cost=0.00..109.66 rows=6564 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_4 rp_5 (cost=111.62..10883.29 rows=6606 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_4__performance_attribution_model_fk (cost=0.00..109.97 rows=6606 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_5 rp_6 (cost=119.65..11740.46 rows=7126 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_5__performance_attribution_model_fk (cost=0.00..117.87 rows=7126 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_6 rp_7 (cost=110.50..10646.17 rows=6461 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_6__performance_attribution_model_fk (cost=0.00..108.88 rows=6461 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_7 rp_8 (cost=111.42..10841.49 rows=6580 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_7__performance_attribution_model_fk (cost=0.00..109.78 rows=6580 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_8 rp_9 (cost=111.04..10761.08 rows=6531 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_8__performance_attribution_model_fk (cost=0.00..109.41 rows=6531 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_9 rp_10 (cost=116.87..11151.48 rows=6767 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_9__performance_attribution_model_fk (cost=0.00..115.18 rows=6767 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_10 rp_11 (cost=110.49..10644.25 rows=6460 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_10__performance_attribution_model_fk (cost=0.00..108.88 rows=6460 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_11 rp_12 (cost=117.28..11238.07 rows=6820 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_11__performance_attribution_model_fk (cost=0.00..115.58 rows=6820 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_12 rp_13 (cost=117.45..11273.68 rows=6842 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_12__performance_attribution_model_fk (cost=0.00..115.74 rows=6842 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_13 rp_14 (cost=109.69..10476.41 rows=6357 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_13__performance_attribution_model_fk (cost=0.00..108.10 rows=6357 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on reactivation_performance_14 rp_15 (cost=111.09..10770.70 rows=6537 width=32) (never executed) Recheck Cond: (performance_attribution_model_fk = 2) -> Bitmap Index Scan on reactivation_performance_14__performance_attribution_model_fk (cost=0.00..109.45 rows=6537 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Bitmap Heap Scan on converting_touchpoints_attribution conv (cost=-2021924572970281.75..-2021924572970244.00 rows=1 width=10) (never executed) Recheck Cond: ((t.touchpoint_id = touchpoint_fk) AND (performance_attribution_model_fk = 2)) -> BitmapAnd (cost=-2021924572970281.75..-2021924572970281.75 rows=1850 width=0) (never executed) -> Bitmap Index Scan on converting_touchpoints_attribution__touchpoint_fk (cost=0.00..-2021911688068401.00 rows=1850 width=0) (never executed) Index Cond: (t.touchpoint_id = touchpoint_fk) -> Bitmap Index Scan on converting_touchpoints_attribution__performance_attribution_mod (cost=0.00..-12884901880.97 rows=1850 width=0) (never executed) Index Cond: (performance_attribution_model_fk = 2) -> Sort (cost=696479.79..707910.70 rows=4572361 width=6) (never executed) Sort Key: cu.customer_id -> Seq Scan on customer cu (cost=0.00..190673.61 rows=4572361 width=6) (never executed) Planning time: 7.154 ms Execution time: 6.358 ms ############## # query (which is usually run in parallel for multiple day_fks): ############## EXPLAIN ( ANALYSE, BUFFERS ) SELECT -- dimensions 20170920 AS day_fk, sendID_fk AS sendID_fk, campaign_fk AS campaign_fk, region_fk AS region_fk, customer_segment_fk AS customer_segment_fk, -- touchpoint hll_union_agg(hll_add(hll_empty(14, 5), hll_hash_bigint( visitor_id))) :: hll(14, 5) AS visitors, hll_union_agg(hll_add(hll_empty(14, 5), hll_hash_bigint( customer_fk))) :: hll(14, 5) AS customers, sum( number_of_touchpoints) AS number_of_touchpoints, sum( number_of_converting_touchpoints) AS number_of_converting_touchpoints, sum( number_of_bounces) AS number_of_bounces, sum( number_of_sent) AS number_of_sent, sum( number_of_open) AS number_of_opens, sum( number_of_clicks) AS number_of_clicks, -- this is https://github.com/citusdata/postgresql-hll hll_union_agg(hll_add(hll_empty(12, 5), hll_hash_integer(click_subscriber_fk))) :: hll (12, 5) AS number_of_unique_clicks, hll_union_agg(hll_add(hll_empty(12, 5), hll_hash_integer(open_subscriber_fk))) :: hll (12, 5) AS number_of_unique_opens, sum( number_of_net_orders) AS number_of_net_orders, sum( number_of_first_net_orders) AS number_of_first_net_orders, sum( number_of_recurring_net_orders) AS number_of_recurring_net_orders, sum( contribution_margin_1) AS contribution_margin_1, sum( net_revenue) AS net_revenue, sum( net_revenue_first_net_orders) AS net_revenue_first_net_orders, sum( net_revenue_recurring_net_orders) AS net_revenue_recurring_net_orders, sum( promotion_discount_value) AS promotion_discount_value FROM ( -- data from salesforce SELECT si.sendID_id AS sendID_fk, cm.campaign_id AS campaign_fk, -1 :: SMALLINT AS region_fk, -1 :: SMALLINT AS customer_segment_fk, NULL AS visitor_id, NULL AS customer_fk, NULL AS number_of_touchpoints, NULL AS number_of_converting_touchpoints, CASE WHEN et.event_type_name = 'Bounce' THEN 1 ELSE 0 END AS number_of_bounces, CASE WHEN et.event_type_name = 'Sent' THEN 1 ELSE 0 END AS number_of_sent, CASE WHEN et.event_type_name = 'Open' THEN 1 ELSE 0 END AS number_of_open, CASE WHEN et.event_type_name = 'Click' THEN 1 ELSE 0 END AS number_of_clicks, csu.subscriber_id AS click_subscriber_fk, osu.subscriber_id AS open_subscriber_fk, NULL AS number_of_net_orders, NULL AS number_of_first_net_orders, NULL AS number_of_recurring_net_orders, NULL AS contribution_margin_1, NULL AS net_revenue, NULL AS net_revenue_first_net_orders, NULL AS net_revenue_recurring_net_orders, NULL AS promotion_discount_value FROM sf_tmp.event ev LEFT JOIN sf_dim.campaign cm ON ev.campaign_name = cm.campaign_name LEFT JOIN sf_dim.event_type et ON ev.event_type = et.event_type_name LEFT JOIN sf_dim.sendid si ON ev.Sendid = si.sendid_name LEFT JOIN sf_dim.subscriber osu ON ev.open_subscriber_key = osu.subscriber_name LEFT JOIN sf_dim.subscriber csu ON ev.click_subscriber_key = csu.subscriber_name WHERE ev.event_day_fk = 20171120 -- data from ad performance UNION ALL SELECT si.sendid_id AS sendID_fk, sendid_campaign_match.campaign_fk AS campaign_fk, t.region_fk, COALESCE(cu.customer_segment_fk, -10), t.visitor_id, t.customer_fk, t.number_of_touchpoints, conv.converting_click :: INTEGER AS number_of_converting_touchpoints, NULL AS number_of_bounces, NULL AS number_of_sent, NULL AS number_of_open, NULL AS number_of_clicks, NULL AS click_subscriber_fk, NULL AS open_subscriber_fk, coalesce(ap.number_of_first_net_orders, 0.0) + coalesce(rp.number_of_recurring_net_orders, 0.0) AS number_of_net_orders, ap.number_of_first_net_orders AS number_of_first_net_orders, rp.number_of_recurring_net_orders AS number_of_recurring_net_orders, coalesce(ap.contribution_margin_1_first_net_orders, 0.0) + coalesce(rp.contribution_margin_1_recurring_net_orders, 0.0) AS contribution_margin_1, coalesce(ap.net_revenue_first_net_orders, 0.0) + coalesce(rp.net_revenue_recurring_net_orders, 0.0) AS net_revenue, ap.net_revenue_first_net_orders AS net_revenue_first_net_orders, rp.net_revenue_recurring_net_orders AS net_revenue_recurring_net_orders, t.promotion_discount_value FROM m_dim.touchpoint t JOIN m_dim.ad ON ad.ad_id = t.ad_fk AND ad.channel_name = 'Email' LEFT JOIN sf_dim.sendid si ON si.Sendid_name = ad.ad_group_name LEFT JOIN ( SELECT DISTINCT ev.sendid, cm.campaign_id AS campaign_fk FROM sf_tmp.event ev LEFT JOIN sf_dim.campaign cm ON ev.campaign_name = cm.campaign_name WHERE EVENT_day_fk = 20171120 AND ev.sendid IS NOT NULL) sendid_campaign_match ON sendid_campaign_match.sendid = si.sendid_name LEFT JOIN os_dim.customer cu ON cu.customer_id = t.customer_fk LEFT JOIN m_dim.acquisition_performance ap ON ap.touchpoint_fk = t.touchpoint_id AND ap.performance_attribution_model_fk = 2 LEFT JOIN m_dim.reactivation_performance rp ON rp.touchpoint_fk = t.touchpoint_id AND rp.performance_attribution_model_fk = 2 LEFT JOIN m_dim.converting_touchpoints_attribution conv ON t.touchpoint_id = conv.touchpoint_fk AND conv.performance_attribution_model_fk = 2 WHERE t.day_fk = 20171120 AND si.sendid_id IS NOT NULL AND campaign_fk IS NOT NULL ) q GROUP BY sendID_fk, campaign_fk, region_fk, customer_segment_fk; ############## # On a different system it looks like this (much more sane): ############## GroupAggregate (cost=384347.08..414413.11 rows=37349 width=254) (actual time=5343.214..5417.604 rows=1194 loops=1) Group Key: "*SELECT* 1".sendid_fk, "*SELECT* 1".campaign_fk, ('-1'::smallint), (('-1'::smallint)::integer) Buffers: shared hit=421793 read=26153, temp read=1561 written=1717 -> Sort (cost=384347.08..385280.81 rows=373491 width=120) (actual time=5343.180..5351.390 rows=55816 loops=1) Sort Key: "*SELECT* 1".sendid_fk, "*SELECT* 1".campaign_fk, ('-1'::smallint), (('-1'::smallint)::integer) Sort Method: external merge Disk: 2880kB Buffers: shared hit=421793 read=26153, temp read=1561 written=1717 -> Append (cost=140964.58..319780.25 rows=373491 width=120) (actual time=2319.179..5287.481 rows=55816 loops=1) Buffers: shared hit=421787 read=26153, temp read=1201 written=1356 -> Subquery Scan on "*SELECT* 1" (cost=140964.58..155107.05 rows=373160 width=120) (actual time=2319.178..2358.269 rows=51664 loops=1) Buffers: shared hit=19573 read=20783, temp read=1201 written=1356 -> Merge Right Join (cost=140964.58..150442.55 rows=373160 width=118) (actual time=2319.176..2350.994 rows=51664 loops=1) Merge Cond: (et.event_type_name = ev.event_type) Buffers: shared hit=19573 read=20783, temp read=1201 written=1356 -> Sort (cost=90.93..94.20 rows=1310 width=32) (actual time=1.088..1.090 rows=5 loops=1) Sort Key: et.event_type_name Sort Method: quicksort Memory: 25kB Buffers: shared read=1 -> Seq Scan on event_type et (cost=0.00..23.10 rows=1310 width=32) (actual time=1.065..1.066 rows=5 loops=1) Buffers: shared read=1 -> Materialize (cost=140873.65..141158.50 rows=56971 width=17) (actual time=2318.081..2331.993 rows=51664 loops=1) Buffers: shared hit=19573 read=20782, temp read=1201 written=1356 -> Sort (cost=140873.65..141016.08 rows=56971 width=17) (actual time=2318.076..2323.706 rows=51664 loops=1) Sort Key: ev.event_type Sort Method: external merge Disk: 1312kB Buffers: shared hit=19573 read=20782, temp read=1201 written=1205 -> Hash Left Join (cost=90861.89..135705.53 rows=56971 width=17) (actual time=1897.747..2291.303 rows=51664 loops=1) Hash Cond: (ev.campaign_name = cm.campaign_name) Buffers: shared hit=19573 read=20782, temp read=1037 written=1040 -> Hash Left Join (cost=90858.44..134918.72 rows=56971 width=38) (actual time=1897.709..2277.430 rows=51664 loops=1) Hash Cond: (ev.sendid = si.sendid_name) Buffers: shared hit=19572 read=20782, temp read=1037 written=1040 -> Merge Right Join (cost=90848.40..134190.85 rows=56971 width=42) (actual time=1897.586..2263.942 rows=51664 loops=1) Merge Cond: (osu.subscriber_name = ev.open_subscriber_key) Buffers: shared hit=19571 read=20781, temp read=1037 written=1040 -> Index Scan using subscriber__subscriber_name on subscriber osu (cost=0.43..39487.86 rows=1323362 width=36) (actual time=0.010..216.141 rows=1323194 loops=1) Buffers: shared hit=19562 -> Materialize (cost=90847.98..91132.83 rows=56971 width=70) (actual time=1897.564..1916.819 rows=51664 loops=1) Buffers: shared hit=9 read=20781, temp read=1037 written=1040 -> Sort (cost=90847.98..90990.40 rows=56971 width=70) (actual time=1897.561..1911.064 rows=51664 loops=1) Sort Key: ev.open_subscriber_key Sort Method: external merge Disk: 4112kB Buffers: shared hit=9 read=20781, temp read=1037 written=1040 -> Merge Right Join (cost=41811.94..85011.85 rows=56971 width=70) (actual time=215.181..1861.479 rows=51664 loops=1) Merge Cond: (csu.subscriber_name = ev.click_subscriber_key) Buffers: shared hit=9 read=20781, temp read=523 written=523 -> Index Scan using subscriber__subscriber_name on subscriber csu (cost=0.43..39487.86 rows=1323362 width=36) (actual time=0.005..1510.625 rows=1323194 loops=1) Buffers: shared hit=9 read=19553 -> Materialize (cost=41778.04..42062.89 rows=56971 width=98) (actual time=214.084..225.830 rows=51664 loops=1) Buffers: shared read=1228, temp read=523 written=523 -> Sort (cost=41778.04..41920.47 rows=56971 width=98) (actual time=214.080..220.578 rows=51664 loops=1) Sort Key: ev.click_subscriber_key Sort Method: external sort Disk: 4184kB Buffers: shared read=1228, temp read=523 written=523 -> Index Scan using event__event_day_fk on event ev (cost=0.56..35495.92 rows=56971 width=98) (actual time=3.877..192.397 rows=51664 loops=1) Index Cond: (event_day_fk = 20171120) Buffers: shared read=1228 -> Hash (cost=5.57..5.57 rows=357 width=7) (actual time=0.103..0.103 rows=357 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 22kB Buffers: shared hit=1 read=1 -> Seq Scan on sendid si (cost=0.00..5.57 rows=357 width=7) (actual time=0.013..0.059 rows=357 loops=1) Buffers: shared hit=1 read=1 -> Hash (cost=2.09..2.09 rows=109 width=26) (actual time=0.032..0.032 rows=109 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 15kB Buffers: shared hit=1 -> Seq Scan on campaign cm (cost=0.00..2.09 rows=109 width=26) (actual time=0.007..0.013 rows=109 loops=1) Buffers: shared hit=1 -> Hash Join (cost=37715.40..164669.88 rows=331 width=120) (actual time=264.900..2924.332 rows=4152 loops=1) Hash Cond: (ad.ad_group_name = si_1.sendid_name) Buffers: shared hit=402214 read=5370 -> Nested Loop Left Join (cost=37705.37..164655.25 rows=37 width=115) (actual time=264.770..2919.386 rows=4152 loops=1) Buffers: shared hit=402212 read=5370 -> Nested Loop Left Join (cost=37705.37..163946.79 rows=16 width=99) (actual time=210.937..2437.542 rows=4152 loops=1) Buffers: shared hit=214029 read=5076 -> Nested Loop Left Join (cost=37705.37..163597.96 rows=8 width=75) (actual time=173.726..2018.663 rows=4152 loops=1) Buffers: shared hit=27013 read=4975 -> Nested Loop Left Join (cost=37704.81..163579.72 rows=8 width=73) (actual time=96.881..1909.229 rows=4152 loops=1) Buffers: shared hit=9961 read=4896 -> Hash Join (cost=37704.38..163562.73 rows=8 width=71) (actual time=96.873..1877.702 rows=4152 loops=1) Hash Cond: (ad.ad_group_name = sendid_campaign_match.sendid) Buffers: shared hit=1232 read=4896 -> Hash Join (cost=304.31..126040.79 rows=38 width=63) (actual time=60.935..1839.130 rows=4285 loops=1) Hash Cond: (t.ad_fk = ad.ad_id) Buffers: shared hit=3 read=4896 -> Append (cost=0.00..124157.87 rows=125038 width=44) (actual time=48.277..1810.384 rows=123117 loops=1) Buffers: shared read=4855 -> Seq Scan on touchpoint t (cost=0.00..0.00 rows=1 width=44) (actual time=0.002..0.002 rows=0 loops=1) Filter: (day_fk = 20171120) -> Index Scan using touchpoint_0__day_fk on touchpoint_0 t_1 (cost=0.43..7616.82 rows=7654 width=44) (actual time=48.273..237.069 rows=8295 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=331 -> Index Scan using touchpoint_1__day_fk on touchpoint_1 t_2 (cost=0.43..8099.65 rows=8152 width=44) (actual time=3.415..83.608 rows=8257 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=341 -> Index Scan using touchpoint_2__day_fk on touchpoint_2 t_3 (cost=0.43..8207.70 rows=8262 width=44) (actual time=3.172..49.089 rows=8168 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=325 -> Index Scan using touchpoint_3__day_fk on touchpoint_3 t_4 (cost=0.43..8639.32 rows=8712 width=44) (actual time=3.443..141.148 rows=8377 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=330 -> Index Scan using touchpoint_4__day_fk on touchpoint_4 t_5 (cost=0.43..8540.24 rows=8608 width=44) (actual time=3.038..147.760 rows=8197 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=314 -> Index Scan using touchpoint_5__day_fk on touchpoint_5 t_6 (cost=0.43..7897.13 rows=7940 width=44) (actual time=3.870..42.844 rows=8264 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=324 -> Index Scan using touchpoint_6__day_fk on touchpoint_6 t_7 (cost=0.43..8156.89 rows=8211 width=44) (actual time=3.439..144.567 rows=8194 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=328 -> Index Scan using touchpoint_7__day_fk on touchpoint_7 t_8 (cost=0.43..8830.66 rows=8908 width=44) (actual time=4.362..143.630 rows=8068 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=322 -> Index Scan using touchpoint_8__day_fk on touchpoint_8 t_9 (cost=0.43..9695.86 rows=9808 width=44) (actual time=3.337..142.971 rows=8273 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=329 -> Index Scan using touchpoint_9__day_fk on touchpoint_9 t_10 (cost=0.43..8124.32 rows=8179 width=44) (actual time=3.349..150.226 rows=8167 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=325 -> Index Scan using touchpoint_10__day_fk on touchpoint_10 t_11 (cost=0.43..8356.39 rows=8418 width=44) (actual time=4.030..39.337 rows=8233 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=325 -> Index Scan using touchpoint_11__day_fk on touchpoint_11 t_12 (cost=0.43..7450.94 rows=7481 width=44) (actual time=3.529..45.088 rows=8140 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=319 -> Index Scan using touchpoint_12__day_fk on touchpoint_12 t_13 (cost=0.43..7753.21 rows=7790 width=44) (actual time=3.935..153.074 rows=8131 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=313 -> Index Scan using touchpoint_13__day_fk on touchpoint_13 t_14 (cost=0.43..8589.00 rows=8660 width=44) (actual time=3.264..145.147 rows=8255 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=318 -> Index Scan using touchpoint_14__day_fk on touchpoint_14 t_15 (cost=0.43..8199.74 rows=8254 width=44) (actual time=2.911..135.576 rows=8098 loops=1) Index Cond: (day_fk = 20171120) Buffers: shared read=311 -> Hash (cost=300.40..300.40 rows=313 width=35) (actual time=11.881..11.881 rows=1145 loops=1) Buckets: 2048 (originally 1024) Batches: 1 (originally 1) Memory Usage: 109kB Buffers: shared read=41 -> Index Scan using ad__channel_name on ad (cost=0.42..300.40 rows=313 width=35) (actual time=2.580..11.649 rows=1145 loops=1) Index Cond: (channel_name = 'Email'::text) Buffers: shared read=41 -> Hash (cost=37079.88..37079.88 rows=25615 width=8) (actual time=35.890..35.890 rows=115 loops=1) Buckets: 32768 Batches: 1 Memory Usage: 261kB Buffers: shared hit=1229 -> Subquery Scan on sendid_campaign_match (cost=36567.58..37079.88 rows=25615 width=8) (actual time=35.713..35.857 rows=115 loops=1) Buffers: shared hit=1229 -> HashAggregate (cost=36567.58..36823.73 rows=25615 width=8) (actual time=35.712..35.843 rows=115 loops=1) Group Key: ev_1.sendid, cm_1.campaign_id Buffers: shared hit=1229 -> Hash Join (cost=4.02..36282.72 rows=56971 width=8) (actual time=0.071..25.206 rows=51664 loops=1) Hash Cond: (ev_1.campaign_name = cm_1.campaign_name) Buffers: shared hit=1229 -> Index Scan using event__event_day_fk on event ev_1 (cost=0.56..35495.92 rows=56971 width=29) (actual time=0.024..12.175 rows=51664 loops=1) Index Cond: (event_day_fk = 20171120) Filter: (sendid IS NOT NULL) Buffers: shared hit=1228 -> Hash (cost=2.09..2.09 rows=109 width=26) (actual time=0.038..0.038 rows=109 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 15kB Buffers: shared hit=1 -> Seq Scan on campaign cm_1 (cost=0.00..2.09 rows=109 width=26) (actual time=0.010..0.020 rows=109 loops=1) Filter: (campaign_id IS NOT NULL) Buffers: shared hit=1 -> Index Scan using customer_pkey on customer cu (cost=0.43..2.12 rows=1 width=6) (actual time=0.007..0.007 rows=1 loops=4152) Index Cond: (customer_id = t.customer_fk) Buffers: shared hit=8729 -> Index Scan using converting_touchpoints_attribution__touchpoint_fk_performance_a on converting_touchpoints_attribution conv (cost=0.56..2.27 rows=1 width=10) (actual time=0.026..0.026 rows=0 loops=4152) Index Cond: ((t.touchpoint_id = touchpoint_fk) AND (performance_attribution_model_fk = 2)) Buffers: shared hit=17052 read=79 -> Append (cost=0.00..43.44 rows=16 width=32) (actual time=0.099..0.099 rows=0 loops=4152) Buffers: shared hit=187016 read=101 -> Seq Scan on acquisition_performance ap (cost=0.00..0.00 rows=1 width=32) (actual time=0.000..0.000 rows=0 loops=4152) Filter: ((performance_attribution_model_fk = 2) AND (touchpoint_fk = t.touchpoint_id)) -> Index Scan using acquisition_performance_0__touchpoint_fk on acquisition_performance_0 ap_1 (cost=0.42..2.90 rows=1 width=32) (actual time=0.027..0.027 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12456 read=9 -> Index Scan using acquisition_performance_1__touchpoint_fk on acquisition_performance_1 ap_2 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12500 read=7 -> Index Scan using acquisition_performance_2__touchpoint_fk on acquisition_performance_2 ap_3 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12451 read=6 -> Index Scan using acquisition_performance_3__touchpoint_fk on acquisition_performance_3 ap_4 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12455 read=8 -> Index Scan using acquisition_performance_4__touchpoint_fk on acquisition_performance_4 ap_5 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12480 read=9 -> Index Scan using acquisition_performance_5__touchpoint_fk on acquisition_performance_5 ap_6 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Buffers: shared hit=12451 read=5 -> Index Scan using acquisition_performance_6__touchpoint_fk on acquisition_performance_6 ap_7 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Buffers: shared hit=12516 read=6 -> Index Scan using acquisition_performance_7__touchpoint_fk on acquisition_performance_7 ap_8 (cost=0.42..2.90 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12451 read=6 -> Index Scan using acquisition_performance_8__touchpoint_fk on acquisition_performance_8 ap_9 (cost=0.42..2.89 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12455 read=8 -> Index Scan using acquisition_performance_9__touchpoint_fk on acquisition_performance_9 ap_10 (cost=0.42..2.89 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12473 read=7 -> Index Scan using acquisition_performance_10__touchpoint_fk on acquisition_performance_10 ap_11 (cost=0.42..2.89 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Buffers: shared hit=12451 read=5 -> Index Scan using acquisition_performance_11__touchpoint_fk on acquisition_performance_11 ap_12 (cost=0.42..2.90 rows=1 width=32) (actual time=0.027..0.027 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12451 read=6 -> Index Scan using acquisition_performance_12__touchpoint_fk on acquisition_performance_12 ap_13 (cost=0.42..2.89 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12523 read=8 -> Index Scan using acquisition_performance_13__touchpoint_fk on acquisition_performance_13 ap_14 (cost=0.42..2.89 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Buffers: shared hit=12451 read=5 -> Index Scan using acquisition_performance_14__touchpoint_fk on acquisition_performance_14 ap_15 (cost=0.42..2.89 rows=1 width=32) (actual time=0.003..0.003 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12452 read=6 -> Append (cost=0.00..44.12 rows=16 width=32) (actual time=0.105..0.115 rows=0 loops=4152) Buffers: shared hit=188183 read=294 -> Seq Scan on reactivation_performance rp (cost=0.00..0.00 rows=1 width=32) (actual time=0.000..0.000 rows=0 loops=4152) Filter: ((performance_attribution_model_fk = 2) AND (touchpoint_fk = t.touchpoint_id)) -> Index Scan using reactivation_performance_0__touchpoint_fk on reactivation_performance_0 rp_1 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12549 read=20 -> Index Scan using reactivation_performance_1__touchpoint_fk on reactivation_performance_1 rp_2 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12574 read=21 -> Index Scan using reactivation_performance_2__touchpoint_fk on reactivation_performance_2 rp_3 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12544 read=20 -> Index Scan using reactivation_performance_3__touchpoint_fk on reactivation_performance_3 rp_4 (cost=0.43..2.94 rows=1 width=32) (actual time=0.005..0.005 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12552 read=19 -> Index Scan using reactivation_performance_4__touchpoint_fk on reactivation_performance_4 rp_5 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12516 read=18 -> Index Scan using reactivation_performance_5__touchpoint_fk on reactivation_performance_5 rp_6 (cost=0.43..2.95 rows=1 width=32) (actual time=0.028..0.028 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12562 read=21 -> Index Scan using reactivation_performance_6__touchpoint_fk on reactivation_performance_6 rp_7 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12530 read=18 -> Index Scan using reactivation_performance_7__touchpoint_fk on reactivation_performance_7 rp_8 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12535 read=19 -> Index Scan using reactivation_performance_8__touchpoint_fk on reactivation_performance_8 rp_9 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12529 read=20 -> Index Scan using reactivation_performance_9__touchpoint_fk on reactivation_performance_9 rp_10 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12561 read=19 -> Index Scan using reactivation_performance_10__touchpoint_fk on reactivation_performance_10 rp_11 (cost=0.43..2.94 rows=1 width=32) (actual time=0.028..0.028 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12533 read=21 -> Index Scan using reactivation_performance_11__touchpoint_fk on reactivation_performance_11 rp_12 (cost=0.43..2.95 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12591 read=20 -> Index Scan using reactivation_performance_12__touchpoint_fk on reactivation_performance_12 rp_13 (cost=0.43..2.95 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12527 read=18 -> Index Scan using reactivation_performance_13__touchpoint_fk on reactivation_performance_13 rp_14 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12531 read=20 -> Index Scan using reactivation_performance_14__touchpoint_fk on reactivation_performance_14 rp_15 (cost=0.43..2.94 rows=1 width=32) (actual time=0.004..0.004 rows=0 loops=4152) Index Cond: (touchpoint_fk = t.touchpoint_id) Filter: (performance_attribution_model_fk = 2) Rows Removed by Filter: 0 Buffers: shared hit=12549 read=20 -> Hash (cost=5.57..5.57 rows=357 width=7) (actual time=0.105..0.105 rows=357 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 22kB Buffers: shared hit=2 -> Seq Scan on sendid si_1 (cost=0.00..5.57 rows=357 width=7) (actual time=0.014..0.057 rows=357 loops=1) Filter: (sendid_id IS NOT NULL) Buffers: shared hit=2 Planning time: 635.005 ms Execution time: 5423.894 ms
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От: Thomas MunroДата:
Сообщение: Re: BUG in 10.1 - dsa_area could not attach to a segment that hasbeen freed