概述
看了德哥的秒杀文章,觉得很实用,自己实践了一把,记录一下。
https://yq.aliyun.com/articles/3010
https://github.com/digoal/blog/blob/master/201611/20161117_01.md
数据准备
peiybdb=# create table tmp_t0(c0 int8, c1 int8);
peiybdb=# create index idx_tmp_t0_c1 on tmp_t0(c1);
peiybdb=# insert into tmp_t0 select id,id from generate_series(1,1000000) as id;
update,select for update
最基本的处理方式,等待时间较长,并发处理能力低
peiybdb=# CREATE OR REPLACE FUNCTION public.f1(ip_id integer)
RETURNS void
LANGUAGE plpgsql
AS $function$
declare
begin
update tmp_t0 set c0=c0+1 where c1=ip_id;
exception when others then
return;
end;
$function$;
$ vi /tmp/f1.sql
set id random(999,999)
select f1(:id);
select for update nowait
nowait 方式,有较高的处理能力
peiybdb=# CREATE OR REPLACE FUNCTION public.f2(ip_id integer)
RETURNS void
LANGUAGE plpgsql
AS $function$
declare
begin
perform 1 from tmp_t0 where c1=ip_id for update nowait;
update tmp_t0 set c0=c0+1 where c1=ip_id;
exception when others then
return;
end;
$function$;
$ vi /tmp/f2.sql
set id random(999,999)
select f2(:id);
select for update skip locked
skip locked 方式,有较高的处理能力
peiybdb=# CREATE OR REPLACE FUNCTION public.f3(ip_id integer)
RETURNS void
LANGUAGE plpgsql
AS $function$
declare
begin
update tmp_t0 set c0=c0+1 where ctid = any (array(select ctid from tmp_t0 t0 where t0.c1=ip_id for update skip locked));
exception when others then
return;
end;
$function$;
$ vi /tmp/f3.sql
set id random(999,999)
select f3(:id);
advisory lock
advisory lock,很高的处理能力
使用 advisory lock 一定要针对最少量的行数,最好使用主键处理单条记录。
peiybdb=# CREATE OR REPLACE FUNCTION public.f4(ip_id integer)
RETURNS void
LANGUAGE plpgsql
AS $function$
declare
begin
if (select pg_try_advisory_xact_lock(ip_id) ) = true then
update tmp_t0 set c0=c0+1 where c1=ip_id ;
end if;
exception when others then
return;
end;
$function$;
$ vi /tmp/f4.sql
set id random(999,999)
select f4(:id);
pgbench 测试
直接 update 结果如下:
$ pgbench -n -r -P 1 -f /tmp/f1.sql -c 20 -j 4 -T 60 peiybdb
transaction type: /tmp/f1.sql
scaling factor: 1
query mode: simple
number of clients: 20
number of threads: 4
duration: 60 s
number of transactions actually processed: 39163
latency average = 30.640 ms
latency stddev = 33.755 ms
tps = 652.293068 (including connections establishing)
tps = 652.334596 (excluding connections establishing)
script statistics:
- statement latencies in milliseconds:
0.002 set id random(999,999)
30.638 select f1(:id);
select for update nowait 结果如下:
$ pgbench -n -r -P 1 -f /tmp/f2.sql -c 20 -j 4 -T 60 peiybdb
transaction type: /tmp/f2.sql
scaling factor: 1
query mode: simple
number of clients: 20
number of threads: 4
duration: 60 s
number of transactions actually processed: 1536810
latency average = 0.780 ms
latency stddev = 1.845 ms
tps = 25610.329868 (including connections establishing)
tps = 25613.687578 (excluding connections establishing)
script statistics:
- statement latencies in milliseconds:
0.001 set id random(999,999)
0.779 select f2(:id);
select for update skip locked 结果如下:
$ pgbench -n -r -P 1 -f /tmp/f3.sql -c 20 -j 4 -T 60 peiybdb
transaction type: /tmp/f3.sql
scaling factor: 1
query mode: simple
number of clients: 20
number of threads: 4
duration: 60 s
number of transactions actually processed: 1505587
latency average = 0.796 ms
latency stddev = 1.483 ms
tps = 25089.353264 (including connections establishing)
tps = 25090.922905 (excluding connections establishing)
script statistics:
- statement latencies in milliseconds:
0.001 set id random(999,999)
0.796 select f3(:id);
advisory lock 结果如下:
$ pgbench -n -r -P 1 -f /tmp/f4.sql -c 20 -j 4 -T 60 peiybdb
transaction type: /tmp/f4.sql
scaling factor: 1
query mode: simple
number of clients: 20
number of threads: 4
duration: 60 s
number of transactions actually processed: 2112088
latency average = 0.567 ms
latency stddev = 1.430 ms
tps = 35177.565856 (including connections establishing)
tps = 35181.744602 (excluding connections establishing)
script statistics:
- statement latencies in milliseconds:
0.001 set id random(999,999)
0.567 select f4(:id);
-M, --protocol=simple|extended|prepared
protocol for submitting queries (default: simple)
结论
advisory lock 处理能力最高,nowait 和 skip locked 差别不是特别大,直接 for update 最差。
而且直接 for update 还可能导致数据库快速达到最大连接数,或者应用的连接池爆满的情况,是最简单粗暴的操作。
参考:
https://yq.aliyun.com/articles/3010
https://github.com/digoal/blog/blob/master/201801/20180105_03.md
http://postgres.cn/docs/9.6/explicit-locking.html#ADVISORY-LOCKS
最后
以上就是霸气百合为你收集整理的postgresql 秒杀场景的咨询锁数据准备update,select for updateselect for update nowaitselect for update skip lockedadvisory lockpgbench 测试结论的全部内容,希望文章能够帮你解决postgresql 秒杀场景的咨询锁数据准备update,select for updateselect for update nowaitselect for update skip lockedadvisory lockpgbench 测试结论所遇到的程序开发问题。
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