数据库中生成数据透视表的SQL的效率比较-数据库

　　（1）以下SQL语句执行效率较低，大约在90分钟执行完毕

select distinct a.pulse_id,a.field_id,
(select  sum(kwh_val) from his_pbs_20041201 where pulse_id = a.pulse_id and to_number(to_char(unix_to_oracle(occur_time),'hh24'))=0 ) as v0,
(select  sum(raw_val) from his_pbs_20041201 where pulse_id = a.pulse_id and to_number(to_char(unix_to_oracle(occur_time),'hh24'))=0 ) as r0,
(select  sum(status)  from his_pbs_20041201 where pulse_id = a.pulse_id and to_number(to_char(unix_to_oracle(occur_time),'hh24'))=0 ) as st0,
from his_pbs_20041201 a
where pulse_id = 164000029;

　　（2）通过在SQL中加入Case语句，可以极大提高SQL的执行速度

select distinct a.pulse_id,a.field_id,
sum(case to_number(to_char(unix_to_oracle(occur_time),'hh24')) when 0  then kwh_val  else 0 end) as v0,
sum(case to_number(to_char(unix_to_oracle(occur_time),'hh24')) when 0  then raw_val  else 0 end) as r0,
sum(case to_number(to_char(unix_to_oracle(occur_time),'hh24')) when 0  then status   else 0 end) as st0,
from his_pbs_20041201 a
group by a.pulse_id,a.field_id;

　　以上两种取得数据透视表的方法在Oracle与Sql Server中均适用。第一种方法要耗时90分钟，第二种方法只需3分钟即可。