查询 子表中,不同的类型统计,
主表 几千条,子表60万数据,下面查询花了 40秒。select
su.* ,
( select count(*) from dtl e where e.check_stat=’EQ’ and e.batch_no=su.batch_No) EQ,
( select count(*) from dtl w where w.check_stat !=’EQ’ and w.batch_no=su.batch_No) notEQ
from t_SUM su
where 1=1
经过 DBA 优化,先查询数据,分组统计之后,再关联,60万的子表速度只有0.34秒
select su.*, w.EQ, w.notEQ
from T_SUM su,
(select batch_no, sum(EQ) EQ, sum(notEQ) notEQ
from (select batch_no,
decode(check_stat, ‘EQ’, 1, 0) EQ,
decode(check_stat, ‘EQ’, 0, 1) notEQ
from dtl)
group by batch_no) w
where su.batch_No = w.batch_no;
- mysql 统计不在子表出现的数据。 数据量6万花费了2秒钟,
select count(1) from applies ap where ap.transaction_status=’0’ and not exists(
select 1 from readrecords r on ap.id =r.applies_id )
按照1的思路,先出数据,再汇总,先查询总数据,再查询等值关联的数据,那么剩下来的就是不在 表里面的数据。
SELECT
(
SELECT
count(*) sum1
FROM
applies cc
WHERE
cc.transaction_status = ‘0’
) - (
SELECT
count(DISTINCT ap.id) sum2
FROM
applies ap
INNER JOIN readrecords r ON ap.id = r.applies_id
WHERE
ap.transaction_status = ‘0’
)