#work_mem = 1MB # min 64kB #maintenance_work_mem = 16MB # min 1MB #max_stack_depth = 2MB # min 100kB # - Disk - #temp_file_limit = -1 # limits per-session temp file space # in kB, or -1 for no limit # - Kernel Resource Usage - #max_files_per_process = 1000 # min 2...
全部参数都可以通过 pg_settings 表来查看: 复制SELECTname, setting, unit, vartype, context, sourceFROMpg_settings; 修改参数方式(会话级): 复制SETwork_mem='64MB'; 修改全局参数(永久生效): 复制ALTERSYSTEMSETwork_mem='64MB';SELECTpg_reload_conf();-- 使其生效 修改后会写入 $PGDATA/postgresql.auto...
The surprising logic of the Postgres work_mem setting, and how to tune it16 June, 2024 In today’s E119 of “5mins of Postgres” we discuss tuning the Postgres setting for your workload, and why it can be quite confusing to interpret the meaning of correctly for a given query. We al...
上述查询返回了work_mem参数的多个字段,包括其当前值(setting)、单位(unit)、来源(source)等。 3. 使用\set命令(在psql中) 虽然\set命令主要用于设置psql客户端的参数,但它也可以与SHOW命令结合使用来查看某些客户端级别的设置。不过,对于数据库级别的参数,还是推荐使用SHOW命令或查询pg_settings视图。 4. 解读参数...
PostgreSQL在执行排序操作时,会根据work_mem的大小决定是否将一个大的结果集拆分为几个小的和work_mem差不多大小的临时文件。显然拆分的结果是降低了排序的速度。因此增加work_mem有助于提高排序的速度。然而需要指出的是,如果系统中同时存在多个排序操作,那么每个操作在排序时使用的内存数量均为work_mem,因此在我们设...
If increasing work_mem setting does not help with performance of the query we should check bloat table size which can be reclaim with running a full vacuum on specific table, note should work with DBA team to analyze it. Table bloat size can grow with frequent table update/delete/inserts.Ad...
select name, source, setting from pg_settings where source != 'default' and source != 'override' 1. 2. 3. 4. 5. #a.设置参数,当前session有效和查看参数的值 postgres=# set work_mem='16MB'; SET postgres=# show work_mem; work_mem ...
show config_file ; show hba_file ; show ident_file ; select name,setting from pg_settings where category= 'File Locations'; select * from pg_settings where name like '%work_mem%' ; select current_setting('work_mem'); 查看PG库设置情况 select name,setting from pg_settings; select name,...
This working memory is limited by theautovacuum_work_memsetting, and defaults to 64 MB on standard Postgres (and is already increased by some cloud provider configurations). If this setting is too low, Postgres will have to do multiple passes over the indexes, which can be very expensive in...
work_mem cannot be the cause of it for the simple reason that if the memory needed by your query overflows work_mem, it will spill to disk regards, fabio pardi On 20/07/18 14:35, MichaelDBA wrote: Perhaps your "work_mem" setting is causing the memory problems. Try reducing it to ...