我正在尝试postgres google-cloud-sql并加载了一个简单的学校模式
CREATE TABLE school ( id SERIAL NOT NULL PRIMARY KEY,name TEXT NOT NULL ); CREATE TABLE class ( id SERIAL NOT NULL PRIMARY KEY,name TEXT,school_id INTEGER NOT NULL REFERENCES school ); CREATE TABLE student ( id SERIAL NOT NULL PRIMARY KEY,class_id INTEGER NOT NULL REFERENCES class ); -- ALL id and foreign keys have indexs
总共装载了1500万行,1500所学校,每所学校500班,每班200名学生.
之后创建一个简单的pgbench脚本
\setrandom sId1 1 20000000 \setrandom sId2 1 20000000 \setrandom sId3 1 20000000 select count(*) from school s join class c on s.id=c.school_id join student stu on c.id=stu.class_id where s.id=:sId1; select count(*) from school s join class c on s.id=c.school_id join student stu on c.id=stu.class_id where s.id=:sId2; select count(*) from school s join class c on s.id=c.school_id join student stu on c.id=stu.class_id where s.id=:sId3;
现在运行脚本
pgbench -c 90 -f ./sql.sql -n -t 1000
2个内核,7.5 GB,90个客户端 –
OUTPUT: number of transactions actually processed: 90000/90000 tps = 1519.690555 (including connections establishing) tps = 2320.408683 (excluding connections establishing
26个内核,30 GB,90个客户端 –
number of transactions actually processed: 90000/90000 tps = 1553.721286 (including connections establishing) tps = 2405.664795 (excluding connections establishing)
题:
为什么我们从2核到26核才有80 tps?
我在postgres irc上问了同样的问题.
社区肯定我是客户端的pgbench,他们建议在pgbench中使用-j4,每秒增加到23k.
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