Slow query with 100% cpu - Mailing list pgsql-general
From | Clodoaldo |
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Subject | Slow query with 100% cpu |
Date | |
Msg-id | a595de7a0802270348u337e49a7x71b92ac9fc4b3206@mail.gmail.com Whole thread Raw |
Responses |
Re: Slow query with 100% cpu
|
List | pgsql-general |
Postgresql 8.2.6, Fedora 8, 2 GB memory. A query that used to perform in a few seconds is now taking 64 seconds with 100% cpu: fahstats=> explain analyze fahstats-> select fahstats-> donor::smallInt as new_members, fahstats-> active_members, fahstats-> d.data::date as day, fahstats-> isodow(d.data::date)::smallInt as dow fahstats-> from fahstats-> team_active_members_history as tam fahstats-> inner join fahstats-> datas as d on d.data_serial = tam.serial_date fahstats-> inner join fahstats-> select_new_members(13802, 8) as nm on nm.data::date = d.data::date fahstats-> where fahstats-> team_number = 13802 fahstats-> and fahstats-> d.data_serial = ( fahstats(> select data_serial fahstats(> from datas fahstats(> where date_trunc('day', data) = date_trunc('day', d.data) fahstats(> order by data desc fahstats(> limit 1 fahstats(> ) fahstats-> ; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------ Hash Join (cost=46026.35..120281.84 rows=1020 width=16) (actual time=64110.099..64404.762 rows=56 loops=1) Hash Cond: ((d.data)::date = (nm.data)::date) -> Hash Join (cost=46001.35..120154.33 rows=204 width=12) (actual time=3378.246..63602.774 rows=812 loops=1) Hash Cond: (d.data_serial = tam.serial_date) -> Index Scan using data_ndx on datas d (cost=0.00..73990.18 rows=32 width=12) (actual time=19.474..63583.966 rows=879 loops=1) Filter: (data_serial = (subplan)) SubPlan -> Limit (cost=0.00..11.69 rows=1 width=12) (actual time=10.076..10.078 rows=1 loops=6302) -> Index Scan Backward using pk_data on datas (cost=0.00..374.05 rows=32 width=12) (actual time=10.070..10.070 rows=1 loops=6302) Filter: (date_trunc('day'::text, data) = date_trunc('day'::text, $0)) -> Hash (cost=45499.27..45499.27 rows=40167 width=8) (actual time=10.398..10.398 rows=821 loops=1) -> Bitmap Heap Scan on team_active_members_history tam (cost=664.25..45499.27 rows=40167 width=8) (actual time=0.428..9.110 rows=821 loops=1) Recheck Cond: (team_number = 13802) -> Bitmap Index Scan on ndx_team_active_members_history (cost=0.00..654.21 rows=40167 width=0) (actual time=0.314..0.314 rows=821 loops=1) Index Cond: (team_number = 13802) -> Hash (cost=12.50..12.50 rows=1000 width=12) (actual time=794.528..794.528 rows=56 loops=1) -> Function Scan on select_new_members nm (cost=0.00..12.50 rows=1000 width=12) (actual time=794.356..794.411 rows=56 loops=1) Total runtime: 64405.040 ms (18 rows) I REINDEXed the database before this explain analyze. These are the non commented lines of postgresql.conf listen_addresses = '127.0.0.1,10.1.1.101' # what IP address(es) to listen on; max_connections = 150 # (change requires restart) shared_buffers = 64MB # min 128kB or max_connections*16kB max_prepared_transactions = 150 # can be 0 or more work_mem = 32MB # min 64kB maintenance_work_mem = 768MB # min 1MB max_stack_depth = 4MB # min 100kB max_fsm_pages = 1000000 # min max_fsm_relations*16, 6 bytes each vacuum_cost_delay = 1000 # 0-1000 milliseconds vacuum_cost_limit = 5000 # 0-10000 credits bgwriter_lru_maxpages = 0 # 0-1000 buffers max written/round bgwriter_all_maxpages = 0 # 0-1000 buffers max written/round fsync = off # turns forced synchronization on or off full_page_writes = off wal_buffers = 1024kB # min 32kB checkpoint_segments = 8 # in logfile segments, min 1, 16MB each checkpoint_timeout = 10min # range 30s-1h effective_cache_size = 768MB geqo_effort = 8 # range 1-10 default_statistics_target = 50 # range 1-1000 redirect_stderr = on # Enable capturing of stderr into log log_directory = 'pg_log' # Directory where log files are written log_truncate_on_rotation = on # If on, any existing log file of the same log_rotation_age = 1d # Automatic rotation of logfiles will log_rotation_size = 0 # Automatic rotation of logfiles will debug_pretty_print = on datestyle = 'iso, ymd' timezone = UTC # actually, defaults to TZ extra_float_digits = 2 # min -15, max 2 lc_messages = 'en_US.UTF-8' # locale for system error message lc_monetary = 'en_US.UTF-8' # locale for monetary formatting lc_numeric = 'en_US.UTF-8' # locale for number formatting lc_time = 'en_US.UTF-8' # locale for time formatting Same query in another computer with 4 GB memory, 8.2.6, Fedora 8: fahstats=> explain analyze fahstats-> select fahstats-> donor::smallInt as new_members, fahstats-> active_members, fahstats-> d.data::date as day, fahstats-> isodow(d.data::date)::smallInt as dow fahstats-> from fahstats-> team_active_members_history as tam fahstats-> inner join fahstats-> datas as d on d.data_serial = tam.serial_date fahstats-> inner join fahstats-> select_new_members(13802, 8) as nm on nm.data::date = d.data::date fahstats-> where fahstats-> team_number = 8 fahstats-> and fahstats-> d.data_serial = ( fahstats(> select data_serial fahstats(> from datas fahstats(> where date_trunc('day', data) = date_trunc('day', d.data) fahstats(> order by data desc fahstats(> limit 1 fahstats(> ) fahstats-> ; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Nested Loop (cost=0.00..12990.31 rows=10 width=16) (actual time=431.023..3448.132 rows=56 loops=1) Join Filter: ((nm.data)::date = (d.data)::date) -> Nested Loop (cost=0.00..12930.16 rows=2 width=12) (actual time=0.080..2977.293 rows=823 loops=1) -> Index Scan using ndx_team_active_members_history on team_active_members_history tam (cost=0.00..1221.93 rows=449 width=8) (actual time=0.040..2.521 rows=832 loops=1) Index Cond: (team_number = 8) -> Index Scan using data_ndx on datas d (cost=0.00..26.06 rows=1 width=12) (actual time=3.574..3.574 rows=1 loops=832) Index Cond: (d.data_serial = tam.serial_date) Filter: (data_serial = (subplan)) SubPlan -> Limit (cost=0.00..24.38 rows=1 width=12) (actual time=3.589..3.589 rows=1 loops=823) -> Index Scan Backward using pk_data on datas (cost=0.00..780.05 rows=32 width=12) (actual time=3.588..3.588 rows=1 loops=823) Filter: (date_trunc('day'::text, data) = date_trunc('day'::text, $0)) -> Function Scan on select_new_members nm (cost=0.00..12.50 rows=1000 width=12) (actual time=0.524..0.534 rows=56 loops=823) Total runtime: 3448.225 ms (14 rows) Regards, Clodoaldo Pinto Neto
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