sql – 深度嵌套的子查询因子解析(CTE)的机能低落
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此查询包括16个相称的步调.
with t0 as (select 0 as k from dual),t1 as (select k from t0 where k >= (select avg(k) from t0)),t2 as (select k from t1 where k >= (select avg(k) from t1)),t3 as (select k from t2 where k >= (select avg(k) from t2)),t4 as (select k from t3 where k >= (select avg(k) from t3)),t5 as (select k from t4 where k >= (select avg(k) from t4)),t6 as (select k from t5 where k >= (select avg(k) from t5)),t7 as (select k from t6 where k >= (select avg(k) from t6)),t8 as (select k from t7 where k >= (select avg(k) from t7)),t9 as (select k from t8 where k >= (select avg(k) from t8)),t10 as (select k from t9 where k >= (select avg(k) from t9)),t11 as (select k from t10 where k >= (select avg(k) from t10)),t12 as (select k from t11 where k >= (select avg(k) from t11)) -- 0.5 sec,t13 as (select k from t12 where k >= (select avg(k) from t12)) -- 1.3 sec,t14 as (select k from t13 where k >= (select avg(k) from t13)) -- 4.5 sec,t15 as (select k from t14 where k >= (select avg(k) from t14)) -- 30 sec,t16 as (select k from t15 where k >= (select avg(k) from t15)) -- 4 min select k from t16 子查询t10当即完成,但整个查询(t16)必要4分钟才气完成. Q1. Q2. Q3. 办理要领Q1:好像没有任何干于计较时刻的信息,只是优化算法中的错误,它会在计较最佳执行打算时使其气愤.Q2:Oracle 11.X.0.X中存在很多已知和修复的错误,这些错误与嵌套查询和查询因子解析的优化有关.但很难找到详细题目. 题目3:有两个未记录的提醒:实现和内联但在我实行你的例子时,没有一个得当我.处事器设置或进级到11.2.0.3的某些变动也许会增进嵌套子句的限定:对付我(在11.2.0.3 Win7 / x86上),您的示例事变正常,但嵌套表的数目增进到30会挂起一个会话. 办理要领也许如下所示: select k from (
select k,avg(k) over (partition by null) k_avg from ( --t16
select k,avg(k) over (partition by null) k_avg from ( --t15
select k,avg(k) over (partition by null) k_avg from ( --t14
select k,avg(k) over (partition by null) k_avg from ( --t13
select k,avg(k) over (partition by null) k_avg from ( --t12
select k,avg(k) over (partition by null) k_avg from ( --t11
select k,avg(k) over (partition by null) k_avg from ( --t10
select k,avg(k) over (partition by null) k_avg from ( --t9
select k,avg(k) over (partition by null) k_avg from ( --t8
select k,avg(k) over (partition by null) k_avg from ( --t7
select k,avg(k) over (partition by null) k_avg from ( --t6
select k,avg(k) over (partition by null) k_avg from ( --t5
select k,avg(k) over (partition by null) k_avg from ( --t4
select k,avg(k) over (partition by null) k_avg from ( --t3
select k,avg(k) over (partition by null) k_avg from ( --t2
select k,avg(k) over (partition by null) k_avg from ( -- t1
select k,avg(k) over (partition by null) k_avg from (select 0 as k from dual) t0
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
) where k >= k_avg
)
至少它在嵌套级别为30时合用于我,并行使WINDOW BUFFER和VIEW天生完全差异的执行打算,而不是LOAD TABLE AS SELECT,SORT AGGREGATE和TABLE ACCESS FULL. 更新 >方才安装了11.2.0.4(Win7 / 32bit)并按照初始查询举办测试.优化器举动没有任何改变. . select
extractvalue(column_value,'/t/somevalue') abc
from
table(xmlsequence((
select t2 from (
select
t0,t1,(
select xmlagg(
xmlelement("t",xmlelement("k1",extractvalue(t1t.column_value,'/t/k1')),xmlelement("somevalue",systimestamp))
)
from
table(xmlsequence(t0)) t0t,table(xmlsequence(t1)) t1t
where
extractvalue(t1t.column_value,'/t/k1') >= (
select avg(extractvalue(t1t.column_value,'/t/k1')) from table(xmlsequence(t1))
)
and
extractvalue(t0t.column_value,'/t/k2') > 6
) t2
from (
select
t0,(
select xmlagg(
xmlelement("t",extractvalue(column_value,sysdate))
)
from table(xmlsequence(t0))
where
extractvalue(column_value,'/t/k1') >= (
select avg(extractvalue(column_value,'/t/k1')) from table(xmlsequence(t0))
)
) t1
from (
select
xmlagg(xmlelement("t",level),xmlelement("k2",level + 3))) t0
from dual connect by level < 5
)
)
)
)))
关于上面的稀疏代码的另一个题目是,此变体仅合用于数据集没有大量行的环境. (编辑:湖南网) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |


