扫二维码与项目经理沟通
我们在微信上24小时期待你的声音
解答本文疑问/技术咨询/运营咨询/技术建议/互联网交流
这篇文章主要讲解了“怎么理解PostgreSQL创建数据表时的参数fillfactor”,文中的讲解内容简单清晰,易于学习与理解,下面请大家跟着小编的思路慢慢深入,一起来研究和学习“怎么理解PostgreSQL创建数据表时的参数fillfactor”吧!
创新互联是一家以网络技术公司,为中小企业提供网站维护、做网站、网站建设、网站备案、服务器租用、域名注册、软件开发、重庆小程序开发等企业互联网相关业务,是一家有着丰富的互联网运营推广经验的科技公司,有着多年的网站建站经验,致力于帮助中小企业在互联网让打出自已的品牌和口碑,让企业在互联网上打开一个面向全国乃至全球的业务窗口:建站联系电话:18982081108下面创建不同fillfactor的数据表,执行update操作
[local]:5432 pg12@testdb=# create table t_fillfactor_100(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=100); CREATE TABLE Time: 2.462 ms [local]:5432 pg12@testdb=# create table t_fillfactor_70(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=70); CREATE TABLE Time: 3.437 ms [local]:5432 pg12@testdb=# create table t_fillfactor_50(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=50); CREATE TABLE Time: 28.553 ms [local]:5432 pg12@testdb=# insert into t_fillfactor_100(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; INSERT 0 1000000 Time: 3583.216 ms (00:03.583) [local]:5432 pg12@testdb=# insert into t_fillfactor_70(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; INSERT 0 1000000 Time: 6506.113 ms (00:06.506) [local]:5432 pg12@testdb=# insert into t_fillfactor_50(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; INSERT 0 1000000 Time: 3113.901 ms (00:03.114) [local]:5432 pg12@testdb=# update t_fillfactor_100 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3'); UPDATE 1000000 Time: 10641.794 ms (00:10.642) [local]:5432 pg12@testdb=# update t_fillfactor_70 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3'); UPDATE 1000000 Time: 8563.046 ms (00:08.563) [local]:5432 pg12@testdb=# update t_fillfactor_50 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3'); UPDATE 1000000 Time: 4036.735 ms (00:04.037)
可以看到,在插入时,fillfactor较高的数据表耗时较短,而在update时(全量),fillfactor的则有较大的优势.但,经过多次update后,耗时并不明显,原因在于经过多次update,每个块的空闲空间跟fillfactor=100的设定已相差无几.
[local]:5432 pg12@testdb=# update t_fillfactor_100 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3'); UPDATE 1000000 Time: 4276.404 ms (00:04.276) [local]:5432 pg12@testdb=# update t_fillfactor_70 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3'); UPDATE 1000000 Time: 3856.575 ms (00:03.857) [local]:5432 pg12@testdb=# update t_fillfactor_50 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3'); UPDATE 1000000 Time: 4364.962 ms (00:04.365) [local]:5432 pg12@testdb=#
重新创建表,使用pgbench进行测试
[local]:5432 pg12@testdb=# drop table if exists t_fillfactor_100; t,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=70); create table t_fillfactor_50(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=50); insert into t_fillfactor_100(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; insert into t_fillfactor_70(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; insert into t_fillfactor_50(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; DROP TABLE Time: 191.706 ms [local]:5432 pg12@testdb=# drop table if exists t_fillfactor_70; DROP TABLE Time: 35.313 ms [local]:5432 pg12@testdb=# drop table if exists t_fillfactor_50; DROP TABLE Time: 30.078 ms [local]:5432 pg12@testdb=# [local]:5432 pg12@testdb=# create table t_fillfactor_100(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=100); CREATE TABLE Time: 40.443 ms [local]:5432 pg12@testdb=# create table t_fillfactor_70(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=70); CREATE TABLE Time: 1.334 ms [local]:5432 pg12@testdb=# create table t_fillfactor_50(id int,c1 varchar(30),c2 varchar(30),c3 varchar(30)) with (fillfactor=50); CREATE TABLE Time: 1.024 ms [local]:5432 pg12@testdb=# [local]:5432 pg12@testdb=# insert into t_fillfactor_100(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; INSERT 0 1000000 Time: 2623.943 ms (00:02.624) [local]:5432 pg12@testdb=# insert into t_fillfactor_70(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; INSERT 0 1000000 Time: 2543.045 ms (00:02.543) [local]:5432 pg12@testdb=# insert into t_fillfactor_50(id,c1,c2,c3) select x,'c1'||x,'c2'||x,'c3'||x from generate_series(1,1000000) as x; INSERT 0 1000000 Time: 2662.223 ms (00:02.662) [local]:5432 pg12@testdb=#
使用pgbench进行测试
[pg12@localhost script]$ cat update_100.sql \set id random(1,1000000) begin; update t_fillfactor_100 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3') where id= :id; end; [pg12@localhost script]$ cat update_70.sql \set id random(1,1000000) begin; update t_fillfactor_70 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3') where id= :id; end; [pg12@localhost script]$ cat update_50.sql \set id random(1,1000000) begin; update t_fillfactor_50 set c1=lpad('c1',30,'c1'),c2=lpad('c2',30,'c2'),c3=lpad('c3',30,'c3') where id= :id; end; [pg12@localhost script]$ pgbench -c 2 -C -f ~/script/update_100.sql -j 1 -n -T 60 -U pg12 testdb transaction type: /home/pg12/script/update_100.sql scaling factor: 1 query mode: simple number of clients: 2 number of threads: 1 duration: 60 s number of transactions actually processed: 691 latency average = 174.136 ms tps = 11.485277 (including connections establishing) tps = 11.625959 (excluding connections establishing) [pg12@localhost script]$ pgbench -c 2 -C -f ~/script/update_70.sql -j 1 -n -T 60 -U pg12 testdb transaction type: /home/pg12/script/update_70.sql scaling factor: 1 query mode: simple number of clients: 2 number of threads: 1 duration: 60 s number of transactions actually processed: 652 latency average = 184.293 ms tps = 10.852275 (including connections establishing) tps = 10.981136 (excluding connections establishing) [pg12@localhost script]$ pgbench -c 2 -C -f ~/script/update_50.sql -j 1 -n -T 60 -U pg12 testdb transaction type: /home/pg12/script/update_50.sql scaling factor: 1 query mode: simple number of clients: 2 number of threads: 1 duration: 60 s number of transactions actually processed: 627 latency average = 191.700 ms tps = 10.432967 (including connections establishing) tps = 10.551899 (excluding connections establishing) [pg12@localhost script]$
使用pgbench使用随机值进行测试,时长为60s,结果差别不大.
数据表大小的比较:
[local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size('t_fillfactor_100')); pg_size_pretty ---------------- 58 MB (1 row) Time: 2.034 ms [local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size('t_fillfactor_70')); pg_size_pretty ---------------- 82 MB (1 row) Time: 1.469 ms [local]:5432 pg12@testdb=# select pg_size_pretty(pg_relation_size('t_fillfactor_50')); pg_size_pretty ---------------- 117 MB (1 row) Time: 2.531 ms [local]:5432 pg12@testdb=#
分别是58MB vs 82MB vs 117MB ≈ 100 vs 70 vs 50
感谢各位的阅读,以上就是“怎么理解PostgreSQL创建数据表时的参数fillfactor”的内容了,经过本文的学习后,相信大家对怎么理解PostgreSQL创建数据表时的参数fillfactor这一问题有了更深刻的体会,具体使用情况还需要大家实践验证。这里是创新互联,小编将为大家推送更多相关知识点的文章,欢迎关注!
我们在微信上24小时期待你的声音
解答本文疑问/技术咨询/运营咨询/技术建议/互联网交流