1、查看值得怀疑的SQL
select
substr(to_char(s.pct, '99.00' ),2)|| '%' load , s.executions executes, p.sql_text from ( select
address, disk_reads, executions, pct, rank()over( order
by disk_reads desc ) ranking from ( select
address, disk_reads, executions, 100*ratio_to_report(disk_reads)over() pct from
sys.v_$sql where
command_type!=47) where
disk_reads>50*executions) s, sys.v_$sqltext p where
s.ranking<=5 and
p.address=s.address order
by 1, s.address, p.piece; |
2、查看消耗内存多的sql
select
b.username, a. buffer_gets, a.executions, a.disk_reads / decode(a.executions, 0, 1, a.executions), a.sql_text SQL from
v$sqlarea a, dba_users b where
a.parsing_user_id = b.user_id and
a.disk_reads > 10000 order
by disk_reads desc ; |
3、查看逻辑读多的SQL
select * from ( select
buffer_gets, sql_text from
v$sqlarea where
buffer_gets>500000 order
by buffer_gets desc ) where
rownum<=30; |
4、查看执行次数多的SQL
select
sql_text, executions from
( select
sql_text, executions from
v$sqlarea order
by executions desc ) where
rownum < 81; |
5、查看读硬盘多的SQL
select
sql_text, disk_reads from ( select
sql_text, disk_reads from
v$sqlarea order
by disk_reads desc ) where
rownum<21; |
6、查看排序多的SQL
select
sql_text, sorts from ( select
sql_text, sorts from
v$sqlarea order
by sorts desc ) where
rownum<21; |
7、分析的次数太多,执行的次数太少,要用绑变量的方法来写sql
select
substr(sql_text, 1, 80)
"sql"
,
count
(*),
sum
(executions)
"totexecs"
from
v$sqlarea
where
executions < 5
group
by
substr(sql_text, 1, 80)
having
count
(*) > 30
order
by
2;
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