|
18234 2735046
--//这样测试1就快于测试2.
--//改成执行select sysdate into v_d from dual ;代码看看.
$ seq 150 | xargs -I %# -P 150 bash -c "sqlplus -s -l scott/book @m1.txt 1e6 B1_150 %# >/dev/null"
$ seq 150 | xargs -I %# -P 150 bash -c "sqlplus -s -l scott/book @m2.txt 1e6 B2_150 %# >/dev/null"
SCOTT@book> select method,count(*),round(avg(TIME_ELA),0),sum(TIME_ELA) from job_times group by method order by method;
METHOD COUNT(*) ROUND(AVG(TIME_ELA),0) SUM(TIME_ELA)
-------------------- ---------- ---------------------- -------------
A1_150 150 16718 2507696
A2_150 150 18234 2735046
B1_150 150 17613 2641914
B2_150 150 21185 3177713
--//你可以可以看出sql语句分散后大概提高10%上下.
--//另外我的测试还加入了sleep,
$ seq 150 | xargs | tr ' ' + | bc -l
11325
--//11325/50 = 226.5秒,排除这个因素.平均每个扣除226.5/150 = 1.51秒.哎!!脚本写的有问题,考虑欠缺,应该sleep在前面,再次重复测试:
--//从这次测试也看出,自己的测试设计不严谨,没有考虑一些细节问题,从另外一个方面也可以看出不使用绑定变量对数据库的危害,特别是oltp系统.
--//补充:
$ cat m1.txt
set verify off
host sleep $(echo &&3/50 | bc -l )
insert into job_times values ( sys_context ('userenv', 'sid') ,dbms_utility.get_time ,'&&2') ;
commit ;
declare
v_id number;
v_d date;
begin
for i in 1 .. &&1 loop
--select /*+ &&3 */ 1 into v_id from dual ;
select /*+ &&3 */ sysdate into v_d from dual ;
end loop;
end ;
/
update job_times set time_ela = dbms_utility.get_time - time_ela where sid=sys_context ('userenv', 'sid') and method='&&2';
commit;
quit
$ cat m2.txt
set verify off
host sleep $(echo &&3/50| bc -l )
insert into job_times values ( sys_context ('userenv', 'sid') ,dbms_utility.get_time ,'&&2') ;
commit ;
declare
v_id number;
v_d date;
begin
for i in 1 .. &&1 loop
--select 1 into v_id from dual ;
select sysdate into v_d from dual ;
&n |