Thread
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slow database, queries accumulating
Anjan Dave <adave@vantage.com> — 2005-09-23T16:02:29Z
Hi We are experiencing consistent slowness on the database for one application. This is more a reporting type of application, heavy on the bytea data type usage (gets rendered into PDFs in the app server). A lot of queries, mostly selects and a few random updates, get accumulated on the server - with increasing volume of users on the application. Below is a snapshot of top, with about 80 selects and 3 or 4 updates. Things get better eventually if I cancel (SIGINT) some of the oldest queries. I also see a few instances of shared locks not being granted during this time...I don't even see high iowait or memory starvation during these times, as indicated by top. -bash-2.05b$ psql -c "select * from pg_locks;" dbname | grep f | | 77922136 | 16761 | ShareLock | f We (development) are looking into the query optimization (explain analyze, indexes, etc), and my understanding is that the queries when run for explain analyze execute fast, but during busy times, they become quite slow, taking from a few seconds to a few minutes to execute. I do see in the log that almost all queries do have either ORDER BY, or GROUP BY, or DISTINCT. Does it hurt to up the sort_mem to 3MB or 4MB? Should I up the effective_cache_size to 5 or 6GB? The app is does not need a lot of connections on the database, I can reduce it down from 600. Based on the description above and the configuration below does any thing appear bad in config? Is there anything I can try in the configuration to improve performance? The database size is about 4GB. This is PG 7.4.7, RHAS3.0 (u5), Local 4 spindle RAID10 (15KRPM), and logs on a separate set of drives, RAID10. 6650 server, 4 x XEON, 12GB RAM. Vacuum is done every night, full vacuum done once a week. I had increased the shared_buffers and sort_memory recently, which didn't help. Thanks, Anjan 10:44:51 up 14 days, 13:38, 2 users, load average: 0.98, 1.14, 1.12 264 processes: 257 sleeping, 7 running, 0 zombie, 0 stopped CPU states: cpu user nice system irq softirq iowait idle total 14.4% 0.0% 7.4% 0.0% 0.0% 0.0% 77.9% cpu00 15.7% 0.0% 5.7% 0.0% 0.1% 0.0% 78.2% cpu01 15.1% 0.0% 7.5% 0.0% 0.0% 0.1% 77.0% cpu02 10.5% 0.0% 5.9% 0.0% 0.0% 0.0% 83.4% cpu03 9.9% 0.0% 5.9% 0.0% 0.0% 0.0% 84.0% cpu04 7.9% 0.0% 3.7% 0.0% 0.0% 0.0% 88.2% cpu05 19.3% 0.0% 12.3% 0.0% 0.0% 0.0% 68.3% cpu06 20.5% 0.0% 9.5% 0.0% 0.0% 0.1% 69.7% cpu07 16.1% 0.0% 8.5% 0.0% 0.1% 0.3% 74.7% Mem: 12081736k av, 7881972k used, 4199764k free, 0k shrd, 82372k buff 4823496k actv, 2066260k in_d, 2036k in_c Swap: 4096532k av, 0k used, 4096532k free 6888900k cached PID USER PRI NI SIZE RSS SHARE STAT %CPU %MEM TIME CPU COMMAND 16773 postgres 15 0 245M 245M 240M S 0.0 2.0 1:16 7 postmaster 16880 postgres 15 0 245M 245M 240M S 0.1 2.0 0:49 6 postmaster 16765 postgres 15 0 245M 245M 240M S 0.0 2.0 1:16 0 postmaster 16825 postgres 15 0 245M 245M 240M S 0.0 2.0 1:02 5 postmaster 16774 postgres 15 0 245M 245M 240M S 0.1 2.0 1:16 0 postmaster 16748 postgres 15 0 245M 245M 240M S 0.0 2.0 1:19 5 postmaster 16881 postgres 15 0 245M 245M 240M S 0.1 2.0 0:50 7 postmaster 16762 postgres 15 0 245M 245M 240M S 0.0 2.0 1:14 4 postmaster ... ... max_connections = 600 shared_buffers = 30000 #=234MB, up from 21760=170MB min 16, at least max_connections*2, 8KB each sort_mem = 2048 # min 64, size in KB vacuum_mem = 32768 # up from 16384 min 1024, size in KB # - Free Space Map - #max_fsm_pages = 20000 # min max_fsm_relations*16, 6 bytes each #max_fsm_relations = 1000 # min 100, ~50 bytes each #fsync = true # turns forced synchronization on or off #wal_sync_method = fsync # the default varies across platforms: # fsync, fdatasync, open_sync, or open_datasync #wal_buffers = 8 # min 4, 8KB each # - Checkpoints - checkpoint_segments = 125 # in logfile segments, min 1, 16MB each checkpoint_timeout = 600 # range 30-3600, in seconds #checkpoint_warning = 30 # 0 is off, in seconds #commit_delay = 0 # range 0-100000, in microseconds #commit_siblings = 5 # range 1-1000 # - Planner Method Enabling - #enable_hashagg = true #enable_hashjoin = true #enable_indexscan = true #enable_mergejoin = true #enable_nestloop = true #enable_seqscan = true #enable_sort = true #enable_tidscan = true # - Planner Cost Constants - effective_cache_size = 262144 # =2GB typically 8KB each #random_page_cost = 4 # units are one sequential page fetch cost #cpu_tuple_cost = 0.01 # (same) #cpu_index_tuple_cost = 0.001 # (same) #cpu_operator_cost = 0.0025 # (same) # - Genetic Query Optimizer - #geqo = true #geqo_threshold = 11 #geqo_effort = 1 #geqo_generations = 0 #geqo_pool_size = 0 # default based on tables in statement, # range 128-1024 #geqo_selection_bias = 2.0 # range 1.5-2.0 # - Other Planner Options - #default_statistics_target = 10 # range 1-1000 #from_collapse_limit = 8 #join_collapse_limit = 8 # 1 disables collapsing of explicit JOINs -
Re: slow database, queries accumulating
Dario Pudlo <dario_d_s@unitech.com.ar> — 2005-09-27T15:12:53Z
I have read that 600 connections are a LOT (somebody correct me please if I'm wrong), since each connections requires a process and your server must serve this. Besides the overhead involved, you will end up with 1200 megabytes of sort_mem allocated (probably idle most of time)... pgpool allows you to reuse process (similar to oracle shared servers). Fact: I didn't have the need to use it. AFAICS, it's easy to use. (I'll try to make it work and I'll share tests, but dunno know when) long life, little spam and prosperity -----Mensaje original----- De: pgsql-performance-owner@postgresql.org [mailto:pgsql-performance-owner@postgresql.org]En nombre de Anjan Dave Enviado el: viernes, 23 de septiembre de 2005 13:02 Para: pgsql-performance@postgresql.org Asunto: [PERFORM] slow database, queries accumulating Hi We are experiencing consistent slowness on the database for one application. This is more a reporting type of application, heavy on the bytea data type usage (gets rendered into PDFs in the app server). A lot of queries, mostly selects and a few random updates, get accumulated on the server - with increasing volume of users on the application. Below is a snapshot of top, with about 80 selects and 3 or 4 updates. Things get better eventually if I cancel (SIGINT) some of the oldest queries. I also see a few instances of shared locks not being granted during this time.I don't even see high iowait or memory starvation during these times, as indicated by top. -bash-2.05b$ psql -c "select * from pg_locks;" dbname | grep f | | 77922136 | 16761 | ShareLock | f We (development) are looking into the query optimization (explain analyze, indexes, etc), and my understanding is that the queries when run for explain analyze execute fast, but during busy times, they become quite slow, taking from a few seconds to a few minutes to execute. I do see in the log that almost all queries do have either ORDER BY, or GROUP BY, or DISTINCT. Does it hurt to up the sort_mem to 3MB or 4MB? Should I up the effective_cache_size to 5 or 6GB? The app is does not need a lot of connections on the database, I can reduce it down from 600. Based on the description above and the configuration below does any thing appear bad in config? Is there anything I can try in the configuration to improve performance? The database size is about 4GB. This is PG 7.4.7, RHAS3.0 (u5), Local 4 spindle RAID10 (15KRPM), and logs on a separate set of drives, RAID10. 6650 server, 4 x XEON, 12GB RAM. Vacuum is done every night, full vacuum done once a week. I had increased the shared_buffers and sort_memory recently, which didn't help. Thanks, Anjan 10:44:51 up 14 days, 13:38, 2 users, load average: 0.98, 1.14, 1.12 264 processes: 257 sleeping, 7 running, 0 zombie, 0 stopped CPU states: cpu user nice system irq softirq iowait idle total 14.4% 0.0% 7.4% 0.0% 0.0% 0.0% 77.9% cpu00 15.7% 0.0% 5.7% 0.0% 0.1% 0.0% 78.2% cpu01 15.1% 0.0% 7.5% 0.0% 0.0% 0.1% 77.0% cpu02 10.5% 0.0% 5.9% 0.0% 0.0% 0.0% 83.4% cpu03 9.9% 0.0% 5.9% 0.0% 0.0% 0.0% 84.0% cpu04 7.9% 0.0% 3.7% 0.0% 0.0% 0.0% 88.2% cpu05 19.3% 0.0% 12.3% 0.0% 0.0% 0.0% 68.3% cpu06 20.5% 0.0% 9.5% 0.0% 0.0% 0.1% 69.7% cpu07 16.1% 0.0% 8.5% 0.0% 0.1% 0.3% 74.7% Mem: 12081736k av, 7881972k used, 4199764k free, 0k shrd, 82372k buff 4823496k actv, 2066260k in_d, 2036k in_c Swap: 4096532k av, 0k used, 4096532k free 6888900k cached PID USER PRI NI SIZE RSS SHARE STAT %CPU %MEM TIME CPU COMMAND 16773 postgres 15 0 245M 245M 240M S 0.0 2.0 1:16 7 postmaster 16880 postgres 15 0 245M 245M 240M S 0.1 2.0 0:49 6 postmaster 16765 postgres 15 0 245M 245M 240M S 0.0 2.0 1:16 0 postmaster 16825 postgres 15 0 245M 245M 240M S 0.0 2.0 1:02 5 postmaster 16774 postgres 15 0 245M 245M 240M S 0.1 2.0 1:16 0 postmaster 16748 postgres 15 0 245M 245M 240M S 0.0 2.0 1:19 5 postmaster 16881 postgres 15 0 245M 245M 240M S 0.1 2.0 0:50 7 postmaster 16762 postgres 15 0 245M 245M 240M S 0.0 2.0 1:14 4 postmaster . . max_connections = 600 shared_buffers = 30000 #=234MB, up from 21760=170MB min 16, at least max_connections*2, 8KB each sort_mem = 2048 # min 64, size in KB vacuum_mem = 32768 # up from 16384 min 1024, size in KB # - Free Space Map - #max_fsm_pages = 20000 # min max_fsm_relations*16, 6 bytes each #max_fsm_relations = 1000 # min 100, ~50 bytes each #fsync = true # turns forced synchronization on or off #wal_sync_method = fsync # the default varies across platforms: # fsync, fdatasync, open_sync, or open_datasync #wal_buffers = 8 # min 4, 8KB each # - Checkpoints - checkpoint_segments = 125 # in logfile segments, min 1, 16MB each checkpoint_timeout = 600 # range 30-3600, in seconds #checkpoint_warning = 30 # 0 is off, in seconds #commit_delay = 0 # range 0-100000, in microseconds #commit_siblings = 5 # range 1-1000 # - Planner Method Enabling - #enable_hashagg = true #enable_hashjoin = true #enable_indexscan = true #enable_mergejoin = true #enable_nestloop = true #enable_seqscan = true #enable_sort = true #enable_tidscan = true # - Planner Cost Constants - effective_cache_size = 262144 # =2GB typically 8KB each #random_page_cost = 4 # units are one sequential page fetch cost #cpu_tuple_cost = 0.01 # (same) #cpu_index_tuple_cost = 0.001 # (same) #cpu_operator_cost = 0.0025 # (same) # - Genetic Query Optimizer - #geqo = true #geqo_threshold = 11 #geqo_effort = 1 #geqo_generations = 0 #geqo_pool_size = 0 # default based on tables in statement, # range 128-1024 #geqo_selection_bias = 2.0 # range 1.5-2.0 # - Other Planner Options - #default_statistics_target = 10 # range 1-1000 #from_collapse_limit = 8 #join_collapse_limit = 8 # 1 disables collapsing of explicit JOINs