Django FreeBSD 8.2虚拟机上两个PostgreSQL 8.4版本之间的巨大性能差异
我有一个关于PostgreSQL性能差异的问题 我正在MAC OS X系统上开发django web应用程序，该web应用程序必须部署在FreeBSD服务器上。在系统的页面上有一个ajax控制的数据输入字段。在此字段中，您可以输入城市名称，当您输入两个或更多字符时，系统开始在数据库中查找城市，并在字符串开头显示符合这两个（或更多）字符的城市下拉列表 在我将其部署到FreeBSD服务器之前，所有这些似乎都运行良好。第一次部署还可以，但第二次部署显示了巨大的性能差异 以下是测试结果列表：Django FreeBSD 8.2虚拟机上两个PostgreSQL 8.4版本之间的巨大性能差异,django,performance,postgresql,Django,Performance,Postgresql,我有一个关于PostgreSQL性能差异的问题 我正在MAC OS X系统上开发django web应用程序，该web应用程序必须部署在FreeBSD服务器上。在系统的页面上有一个ajax控制的数据输入字段。在此字段中，您可以输入城市名称，当您输入两个或更多字符时，系统开始在数据库中查找城市，并在字符串开头显示符合这两个（或更多）字符的城市下拉列表 在我将其部署到FreeBSD服务器之前，所有这些似乎都运行良好。第一次部署还可以，但第二次部署显示了巨大的性能差异 以下是测试结果列表： syste
system1 proc: Intel Core 2 Duo 3.06 GHz, mem: 8GB. :
OS: OS X 10.6.8, 10.8.0 Darwin Kernel Version 10.8.0: Tue Jun 7 16:33:36 PDT 2011;
root:xnu-1504.15.3~1/RELEASE_I386 i386
DB: PostgreSQL 8.4.5 on i386-apple-darwin10.5.0, compiled by GCC i686-apple-darwin10-gcc-4.2.1 (GCC) 4.2.1 (Apple Inc. build 5664), 64-bit
Tests system1:
query parameter time in ms
01 'de%' 909
02 'de%' 886
03 'den%' 132
04 'den %' 115
05 'den h%' 115
06 'den ha%' 117
07 'den haa%' 95
08 'den haag%' 100
host: system1
guest: parallels virtual machine, proc: 2 cpu, mem: 1 GB.
system2
OS: 8.2-RELEASE FreeBSD 8.2-RELEASE #0: Thu Feb 17 02:41:51 UTC 2011 root@mason.cse.buffalo.edu:/usr/obj/usr/src/sys/GENERIC amd64
DB: PostgreSQL 8.4.7 on amd64-portbld-freebsd8.2, compiled by GCC cc (GCC) 4.2.1 20070719 [FreeBSD], 64-bit
Tests system2:
query parameter time in ms
01 'de%' 1178
02 'de%' 857
03 'den%' 298
04 'den %' 233
05 'den h%' 134
06 'den ha%' 132
07 'den haa%' 132
08 'den haag%' 136
host: system1
guest: parallels virtual machine, proc: 2 cpu, mem: 1 GB.
system3
OS: 8.3-RELEASE FreeBSD 8.3-RELEASE #0: Mon Apr 9 21:23:18 UTC 2012 root@mason.cse.buffalo.edu:/usr/obj/usr/src/sys/GENERIC amd64
DB: PostgreSQL 8.4.11 on amd64-portbld-freebsd8.3, compiled by GCC cc (GCC) 4.2.2 20070831 prerelease [FreeBSD], 64-bit
Tests system3:
query parameter time in ms
01 'de%' 7096
02 'de%' 7012
03 'den%' 6228
04 'den %' 6237
05 'den h%' 6145
06 'den ha%' 5640
07 'den haa%' 5512
08 'den haag%' 5561
system1: PostgreSQL 8.4.5 on i386-apple-darwin10.5.0
"Limit (cost=3894.65..3894.70 rows=20 width=36) (actual time=1445.667..1445.671 rows=20 loops=1)"
" -> Sort (cost=3894.65..3903.99 rows=3736 width=36) (actual time=1445.666..1445.666 rows=20 loops=1)"
" Sort Key: public.geopoint_language.name_language,
" -> Seq Scan on geopoint (cost=0.00..618.94 rows=625 width=11) (actual time=0.018..6.277 rows=728 loops=1)"
" Filter: (((admin2_code)::text = ''::text) AND (country_id = 154))"
"Total runtime: 1446.377 ms"
system2: PostgreSQL 8.4.7 on amd64-portbld-freebsd8.2
"Limit (cost=3794.26..3794.31 rows=20 width=36) (actual time=64848.595..64848.903 rows=20 loops=1)"
" -> Sort (cost=3794.26..3800.41 rows=2460 width=36) (actual time=64848.583..64848.679 rows=20 loops=1)"
" Sort Key: public.geopoint_language.name_language, adm2_state_language.name_language, adm1_state_language.name_language"
" Sort Method: top-N heapsort Memory: 27kB"
" -> HashAggregate (cost=3704.20..3728.80 rows=2460 width=36) (actual time=64843.710..64846.020 rows=417 loops=1)"
" -> Append (cost=1055.08..3667.30 rows=2460 width=36) (actual time=1201.210..64839.849 rows=417 loops=1)"
" -> Hash Semi Join (cost=1055.08..1784.76 rows=163 width=48) (actual time=1201.199..64707.965 rows=362 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Merge Join (cost=1049.36..1776.47 rows=287 width=64) (actual time=1200.852..64703.138 rows=362 loops=1)"
" Merge Cond: (public.state.pstate_id = public.state.id)"
" -> Nested Loop (cost=843.55..3856.49 rows=470 width=72) (actual time=1199.848..64693.793 rows=362 loops=1)"
" -> Nested Loop (cost=843.55..2641.98 rows=4159 width=58) (actual time=39.390..64356.535 rows=13768 loops=1)"
" Join Filter: ((public.state.admin2_code)::text = (public.geopoint.admin2_code)::text)"
" -> Nested Loop Semi Join (cost=217.62..758.39 rows=8 width=51) (actual time=38.388..146.171 rows=862 loops=1)"
" -> Nested Loop (cost=217.62..754.28 rows=15 width=47) (actual time=38.361..124.606 rows=862 loops=1)"
" -> Nested Loop Semi Join (cost=217.62..616.50 rows=20 width=34) (actual time=38.332..87.939 rows=918 loops=1)"
" -> Merge Join (cost=217.62..606.79 rows=35 width=30) (actual time=38.300..58.248 rows=1066 loops=1)"
" Merge Cond: (adm1_state_language.state_id = public.state.pstate_id)"
" -> Index Scan using idx_state_language_1 on state_language adm1_state_language (cost=0.00..392.25 rows=7120 width=21) (actual time=0.019..16.666 rows=2826 loops=1)"
" Index Cond: (preferred = true)"
" -> Sort (cost=196.31..196.48 rows=68 width=9) (actual time=6.551..12.945 rows=1065 loops=1)"
" Sort Key: public.state.pstate_id"
" Sort Method: quicksort Memory: 45kB"
" -> Seq Scan on state (cost=0.00..194.24 rows=68 width=9) (actual time=0.019..3.928 rows=431 loops=1)"
" Filter: (((admin2_code)::text <> ''::text) AND (country_id = 154) AND ((admin3_code)::text = ''::text) AND ((admin4_code)::text = ''::text))"
" -> Index Scan using pk_language_all on language (cost=0.00..0.27 rows=1 width=4) (actual time=0.011..0.011 rows=1 loops=1066)"
" Index Cond: (public.language.id = adm1_state_language.language_id)"
" Filter: public.language.enabled"
" -> Index Scan using idx_state_language_1 on state_language adm2_state_language (cost=0.00..6.87 rows=1 width=21) (actual time=0.011..0.018 rows=1 loops=918)"
" Index Cond: ((adm2_state_language.state_id = public.state.id) AND (adm2_state_language.language_id = adm1_state_language.language_id) AND (adm2_state_language.preferred = true))"
" -> Index Scan using pk_language_all on language (cost=0.00..0.27 rows=1 width=4) (actual time=0.008..0.008 rows=1 loops=862)"
" Index Cond: (public.language.id = adm1_state_language.language_id)"
" Filter: public.language.enabled"
" -> Materialize (cost=625.93..695.80 rows=6987 width=12) (actual time=0.005..36.752 rows=6884 loops=862)"
" -> Seq Scan on geopoint (cost=0.00..618.94 rows=6987 width=12) (actual time=0.015..45.945 rows=6884 loops=1)"
" Filter: (((admin2_code)::text <> ''::text) AND (country_id = 154))"
" -> Index Scan using idx_geopoint_language_3 on geopoint_language (cost=0.00..0.28 rows=1 width=18) (actual time=0.013..0.013 rows=0 loops=13768)"
" Index Cond: ((public.geopoint_language.geopoint_id = public.geopoint.id) AND (public.geopoint_language.language_id = adm1_state_language.language_id))"
" Filter: (public.geopoint_language.endonym AND ((public.geopoint_language.name_language)::text ~~* 'de%%'::text))"
" -> Sort (cost=205.72..206.42 rows=282 width=4) (actual time=0.984..3.008 rows=342 loops=1)"
" Sort Key: public.state.id"
" Sort Method: quicksort Memory: 25kB"
" -> Seq Scan on state (cost=0.00..194.24 rows=282 width=4) (actual time=0.427..0.850 rows=12 loops=1)"
" Filter: ((country_id = 154) AND ((admin2_code)::text = ''::text) AND ((admin3_code)::text = ''::text) AND ((admin4_code)::text = ''::text))"
" -> Hash (cost=5.51..5.51 rows=17 width=4) (actual time=0.235..0.235 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.015..0.127 rows=17 loops=1)"
" Filter: enabled"
" -> Subquery Scan "*SELECT* 2" (cost=1844.22..1880.91 rows=2297 width=35) (actual time=125.544..127.175 rows=55 loops=1)"
" -> Merge Join (cost=1844.22..1857.94 rows=2297 width=35) (actual time=125.533..126.563 rows=55 loops=1)"
" Merge Cond: ((adm1_state_language.language_id = public.geopoint_language.language_id) AND ((public.state.admin1_code)::text = (public.geopoint.admin1_code)::text))"
" -> Sort (cost=392.00..392.29 rows=117 width=26) (actual time=82.529..82.647 rows=24 loops=1)"
" Sort Key: adm1_state_language.language_id, public.state.admin1_code"
" Sort Method: quicksort Memory: 26kB"
" -> Hash Join (cost=209.42..387.98 rows=117 width=26) (actual time=30.234..82.289 rows=25 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Hash Semi Join (cost=203.49..380.10 rows=206 width=22) (actual time=29.732..81.508 rows=25 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Hash Join (cost=197.77..371.13 rows=364 width=18) (actual time=29.442..80.926 rows=29 loops=1)"
" Hash Cond: (adm1_state_language.state_id = public.state.id)"
" -> Seq Scan on state_language adm1_state_language (cost=0.00..143.03 rows=7120 width=21) (actual time=0.008..39.728 rows=7120 loops=1)"
" Filter: preferred"
" -> Hash (cost=194.24..194.24 rows=282 width=5) (actual time=2.366..2.366 rows=12 loops=1)"
" -> Seq Scan on state (cost=0.00..194.24 rows=282 width=5) (actual time=1.185..2.271 rows=12 loops=1)"
" Filter: (((admin2_code)::text = ''::text) AND ((admin3_code)::text = ''::text) AND ((admin4_code)::text = ''::text) AND (country_id = 154))"
" -> Hash (cost=5.51..5.51 rows=17 width=4) (actual time=0.224..0.224 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.008..0.118 rows=17 loops=1)"
" Filter: enabled"
" -> Hash (cost=5.72..5.72 rows=17 width=4) (actual time=0.445..0.445 rows=17 loops=1)"
" -> HashAggregate (cost=5.55..5.72 rows=17 width=4) (actual time=0.233..0.323 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.010..0.125 rows=17 loops=1)"
" Filter: enabled"
" -> Sort (cost=1452.22..1453.21 rows=396 width=25) (actual time=42.856..43.140 rows=55 loops=1)"
" Sort Key: public.geopoint_language.language_id, public.geopoint.admin1_code"
" Sort Method: quicksort Memory: 29kB"
" -> Hash Join (cost=626.75..1435.14 rows=396 width=25) (actual time=23.266..42.430 rows=55 loops=1)"
" Hash Cond: (public.geopoint_language.geopoint_id = public.geopoint.id)"
" -> Seq Scan on geopoint_language (cost=0.00..802.94 rows=396 width=18) (actual time=3.081..25.949 rows=515 loops=1)"
" Filter: (endonym AND ((name_language)::text ~~* 'de %%'::text))"
" -> Hash (cost=618.94..618.94 rows=625 width=11) (actual time=13.194..13.194 rows=728 loops=1)"
" -> Seq Scan on geopoint (cost=0.00..618.94 rows=625 width=11) (actual time=0.015..8.770 rows=728 loops=1)"
" Filter: (((admin2_code)::text = ''::text) AND (country_id = 154))"
"Total runtime: 64850.211 ms"
system3: PostgreSQL 8.4.11 on amd64-portbld-freebsd8.3
"Limit (cost=2715.73..2715.78 rows=20 width=35) (actual time=28363.433..28363.721 rows=20 loops=1)"
" -> Sort (cost=2715.73..2716.02 rows=113 width=35) (actual time=28363.421..28363.516 rows=20 loops=1)"
" Sort Key: public.geopoint_language.name_language, adm2_state_language.name_language, adm1_state_language.name_language"
" Sort Method: top-N heapsort Memory: 27kB"
" -> HashAggregate (cost=2711.60..2712.73 rows=113 width=35) (actual time=28358.553..28360.849 rows=419 loops=1)"
" -> Append (cost=571.63..2709.90 rows=113 width=35) (actual time=349.502..28354.791 rows=419 loops=1)"
" -> Hash Semi Join (cost=571.63..884.24 rows=3 width=48) (actual time=349.492..28233.388 rows=362 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Nested Loop (cost=565.91..878.47 rows=5 width=64) (actual time=349.172..28228.620 rows=362 loops=1)"
" Join Filter: ((public.state.admin2_code)::text = (public.geopoint.admin2_code)::text)"
" -> Merge Join (cost=565.91..811.16 rows=25 width=61) (actual time=278.147..20849.826 rows=292218 loops=1)"
" Merge Cond: (public.state.pstate_id = adm1_state_language.state_id)"
" Join Filter: (adm1_state_language.language_id = adm2_state_language.language_id)"
" -> Nested Loop (cost=233.49..1199.63 rows=277 width=44) (actual time=12.014..10783.473 rows=292218 loops=1)"
" -> Nested Loop (cost=233.49..725.31 rows=1 width=26) (actual time=7.617..42.736 rows=862 loops=1)"
" -> Merge Join (cost=233.49..720.62 rows=1 width=13) (actual time=7.585..16.639 rows=431 loops=1)"
" Merge Cond: (public.state.id = public.state.pstate_id)"
" -> Index Scan using pk_state on state (cost=0.00..523.51 rows=282 width=4) (actual time=1.000..2.268 rows=12 loops=1)"
" Filter: ((country_id = 154) AND ((admin2_code)::text = ''::text) AND ((admin3_code)::text = ''::text) AND ((admin4_code)::text = ''::text))"
" -> Sort (cost=196.31..196.48 rows=68 width=9) (actual time=6.566..9.020 rows=431 loops=1)"
" Sort Key: public.state.pstate_id"
" Sort Method: quicksort Memory: 45kB"
" -> Seq Scan on state (cost=0.00..194.24 rows=68 width=9) (actual time=0.015..3.942 rows=431 loops=1)"
" Filter: (((admin2_code)::text <> ''::text) AND (country_id = 154) AND ((admin3_code)::text = ''::text) AND ((admin4_code)::text = ''::text))"
" -> Index Scan using idx_state_language_1 on state_language adm2_state_language (cost=0.00..4.68 rows=1 width=21) (actual time=0.012..0.026 rows=2 loops=431)"
" Index Cond: ((adm2_state_language.state_id = public.state.id) AND (adm2_state_language.preferred = true))"
" -> Index Scan using idx_geopoint_language_3 on geopoint_language (cost=0.00..471.76 rows=205 width=18) (actual time=2.051..8.854 rows=339 loops=862)"
" Index Cond: (public.geopoint_language.language_id = adm2_state_language.language_id)"
" Filter: (public.geopoint_language.endonym AND ((public.geopoint_language.name_language)::text ~~* 'de%%'::text))"
" -> Sort (cost=331.82..337.54 rows=2286 width=29) (actual time=237.631..3511.098 rows=625149 loops=1)"
" Sort Key: adm1_state_language.state_id"
" Sort Method: quicksort Memory: 746kB"
" -> Hash Join (cost=11.87..204.28 rows=2286 width=29) (actual time=0.996..192.413 rows=7023 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Hash Join (cost=5.94..180.49 rows=4035 width=25) (actual time=0.514..116.195 rows=7023 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Seq Scan on state_language adm1_state_language (cost=0.00..143.03 rows=7120 width=21) (actual time=0.007..38.638 rows=7120 loops=1)"
" Filter: preferred"
" -> Hash (cost=5.72..5.72 rows=17 width=4) (actual time=0.452..0.452 rows=17 loops=1)"
" -> HashAggregate (cost=5.55..5.72 rows=17 width=4) (actual time=0.260..0.350 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.008..0.136 rows=17 loops=1)"
" Filter: enabled"
" -> Hash (cost=5.72..5.72 rows=17 width=4) (actual time=0.425..0.425 rows=17 loops=1)"
" -> HashAggregate (cost=5.55..5.72 rows=17 width=4) (actual time=0.231..0.322 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.010..0.118 rows=17 loops=1)"
" Filter: enabled"
" -> Index Scan using pk_city on geopoint (cost=0.00..2.68 rows=1 width=12) (actual time=0.008..0.011 rows=1 loops=292218)"
" Index Cond: (public.geopoint.id = public.geopoint_language.geopoint_id)"
" Filter: (((public.geopoint.admin2_code)::text <> ''::text) AND (public.geopoint.country_id = 154))"
" -> Hash (cost=5.51..5.51 rows=17 width=4) (actual time=0.230..0.230 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.014..0.124 rows=17 loops=1)"
" Filter: enabled"
" -> Subquery Scan "*SELECT* 2" (cost=1014.04..1825.63 rows=110 width=35) (actual time=100.899..116.913 rows=57 loops=1)"
" -> Hash Join (cost=1014.04..1824.53 rows=110 width=35) (actual time=100.889..116.323 rows=57 loops=1)"
" Hash Cond: (((public.geopoint.admin1_code)::text = (public.state.admin1_code)::text) AND (public.geopoint_language.language_id = adm1_state_language.language_id))"
" -> Hash Join (cost=626.75..1432.19 rows=19 width=25) (actual time=19.280..34.017 rows=57 loops=1)"
" Hash Cond: (public.geopoint_language.geopoint_id = public.geopoint.id)"
" -> Seq Scan on geopoint_language (cost=0.00..802.94 rows=616 width=18) (actual time=1.942..16.204 rows=720 loops=1)"
" Filter: (endonym AND ((name_language)::text ~~* 'de%%'::text))"
" -> Hash (cost=618.94..618.94 rows=625 width=11) (actual time=13.437..13.437 rows=728 loops=1)"
" -> Seq Scan on geopoint (cost=0.00..618.94 rows=625 width=11) (actual time=0.012..8.923 rows=728 loops=1)"
" Filter: (((admin2_code)::text = ''::text) AND (country_id = 154))"
" -> Hash (cost=385.53..385.53 rows=117 width=26) (actual time=81.568..81.568 rows=25 loops=1)"
" -> Hash Join (cost=209.64..385.53 rows=117 width=26) (actual time=29.986..81.410 rows=25 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Hash Join (cost=203.70..378.69 rows=206 width=22) (actual time=29.457..80.612 rows=25 loops=1)"
" Hash Cond: (adm1_state_language.language_id = public.language.id)"
" -> Hash Join (cost=197.77..371.13 rows=364 width=18) (actual time=29.011..79.869 rows=29 loops=1)"
" Hash Cond: (adm1_state_language.state_id = public.state.id)"
" -> Seq Scan on state_language adm1_state_language (cost=0.00..143.03 rows=7120 width=21) (actual time=0.008..38.849 rows=7120 loops=1)"
" Filter: preferred"
" -> Hash (cost=194.24..194.24 rows=282 width=5) (actual time=2.245..2.245 rows=12 loops=1)"
" -> Seq Scan on state (cost=0.00..194.24 rows=282 width=5) (actual time=1.139..2.167 rows=12 loops=1)"
" Filter: (((admin2_code)::text = ''::text) AND ((admin3_code)::text = ''::text) AND ((admin4_code)::text = ''::text) AND (country_id = 154))"
" -> Hash (cost=5.72..5.72 rows=17 width=4) (actual time=0.423..0.423 rows=17 loops=1)"
" -> HashAggregate (cost=5.55..5.72 rows=17 width=4) (actual time=0.226..0.317 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.008..0.119 rows=17 loops=1)"
" Filter: enabled"
" -> Hash (cost=5.72..5.72 rows=17 width=4) (actual time=0.449..0.449 rows=17 loops=1)"
" -> HashAggregate (cost=5.55..5.72 rows=17 width=4) (actual time=0.254..0.344 rows=17 loops=1)"
" -> Seq Scan on language (cost=0.00..5.51 rows=17 width=4) (actual time=0.010..0.119 rows=17 loops=1)"
" Filter: enabled"
"Total runtime: 28366.784 ms"
system1:i386-apple-darwin10.5.0上的PostgreSQL 8.4.5
“限制（成本=3894.65..3894.70行=20宽=36）（实际时间=1445.667..1445.671行=20圈=1）”
“->排序（成本=3894.65..3903.99行=3736宽度=36）（实际时间=1445.666..1445.666行=20个循环=1）”
“排序键：public.geopoint\u language.name\u language，
“->地质点上的顺序扫描（成本=0.00..618.94行=625宽度=11）（实际时间=0.018..6.277行=728圈=1）”
“筛选器：（（admin2_代码）：：text=''：text）和（country_id=154））”
“总运行时间：1446.377毫秒”
system2:amd64-portbld-freebsd8.2上的PostgreSQL 8.4.7
“限制（成本=3794.26..3794.31行=20宽=36）（实际时间=64848.595..64848.903行=20圈=1）”
“->排序（成本=3794.26..3800.41行=2460宽度=36）（实际时间=64848.583..64848.679行=20个循环=1）”
排序键：public.geopoint\u language.name\u language、adm2\u state\u language.name\u language、adm1\u state\u language.name\u language
“排序方法：top-N堆口内存：27kB”
“->HashAggregate（成本=3704.20..3728.80行=2460宽度=36）（实际时间=64843.710..64846.020行=417个循环=1）”
“->追加（成本=1055.08..3667.30行=2460宽度=36）（实际时间=1201.210..64839.849行=417个循环=1）”
“->哈希半联接（成本=1055.08..1784.76行=163宽度=48）（实际时间=1201.199..64707.965行=362个循环=1）”
“哈希条件：（adm1\u state\u language.language\u id=public.language.id）”
“->合并联接（成本=1049.36..1776.47行=287宽度=64）（实际时间=1200.852..64703.138行=362循环=1）”
“合并条件：（public.state.pstate\u id=public.state.id）”
“->嵌套循环（成本=843.55..3856.49行=470宽度=72）（实际时间=1199.848..64693.793行=362个循环=1）”
“->嵌套循环（成本=843.55..2641.98行=4159宽度=58）（实际时间=39.390..64356.535行=13768个循环=1）”
“联接筛选器：（（public.state.admin2_代码）：：text=（public.geopoint.admin2_代码）：：text）”
“->嵌套循环半联接（成本=217.62..758.39行=8宽度=51）（实际时间=38.388..146.171行=862个循环=1）”
“->嵌套循环（成本=217.62..754.28行=15宽度=47）（实际时间=38.361..124.606行=862行=1）”
“->嵌套循环半联接（成本=217.62..616.50行=20宽度=34）（实际时间=38.332..87.939行=918个循环=1）”
“->合并联接（成本=217.62..606.79行=35宽度=30）（实际时间=38.300..58.248行=1066循环=1）”
“合并条件：（adm1_state_language.state_id=public.state.pstate_id）”
“->使用idx_state_language_1对state_language adm1_state_language进行索引扫描（成本=0.00..392.25行=7120宽度=21）（实际时间=0.019..16.666行=2826循环=1）”
“索引条件：（首选=真）”
“->排序（成本=196.31..196.48行=68宽度=9）（实际时间=6.551..12.945行=1065循环=1）”
“排序密钥：public.state.pstate\u id”
“排序方法：快速排序内存：45kB”
“->Seq Scan on state（成本=0.00..194.24行=68宽度=9）（实际时间=0.019..3.928行=431循环=1）”
“筛选器：（（管理员代码）：：文本“”：：文本）和（国家/地区id=154）和（（管理员代码）：：文本=“”：：文本）和（（管理员代码）：：文本=“”：：文本））”
“->使用pk_语言_all on语言进行索引扫描（成本=0.00..0.27行=1宽度=4）（实际时间=0.011..0.011行=1循环=1066）”
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