我有一个应该返回10000行的查询。 db本身非常大。我运行了一个简单的查询,它在不到3秒的时间内返回了一个结果。但是当一个更复杂的代码需要太长时间时。
在我的代码中,我做了一个嵌套的select和一个case语句。但是,当我运行我的代码时,返回结果需要一个多小时。我可以对可以减少执行时间的代码做些什么。
SELECT ticker_symb, day_sum_eff, cusip,
clos_prc,
nclos_prc,
case
when clos_prc is null and nclos_prc is not null
then (nclos_prc - LAG( nclos_prc ignore nulls) OVER (ORDER BY cusip))
when clos_prc is not null and nclos_prc is null
then (LEAD( nclos_prc ignore nulls) OVER (ORDER BY cusip)- LAG( nclos_prc ignore nulls) OVER (ORDER BY cusip))
else NULL
end DIFF
FROM (SELECT
day_sum_eff,
cusip,
ticker_symb,
clos_prc,
nclos_prc,
case
when clos_prc is null and nclos_prc is not null
then (nclos_prc - LAG( nclos_prc ignore nulls) OVER (ORDER BY cusip))
when clos_prc is not null and nclos_prc is null
then LEAD( nclos_prc ignore nulls) OVER (ORDER BY cusip)- LAG( nclos_prc ignore nulls) OVER (ORDER BY cusip)
else NULL
end DIFF
from MKTDATA.MARKET_DAILY_SUMMARY
WHERE day_sum_eff >= '1-JUN-2017' and
day_sum_eff <= '10-JUN-2017' )
order by day_sum_eff_,fmr_iss_cusip OFFSET 0 ROWS FETCH NEXT 3 ROW ONLY;
EXCUTION PLAN TABLE
PLAN_TABLE_OUTPUT
计划哈希值:831959278
----------------------------------------------------------
| Id | Operation | Name |
----------------------------------------------------------
| 0 | SELECT STATEMENT | |
| 1 | VIEW | |
| 2 | WINDOW SORT PUSHED RANK | |
| 3 | WINDOW SORT | |
| 4 | PARTITION RANGE SINGLE| |
| 5 | TABLE ACCESS FULL | MARKET_DAILY_SUMMARY |
----------------------------------------------------------
答案 0 :(得分:0)
试试这个: -
在day_sum_eff列上创建索引,然后再次运行查询,看看是否会有执行时间的任何更改。
这可能有用。
答案 1 :(得分:-1)
试试这个
WITH q1 AS (
SELECT
day_sum_eff,
cusip,
ticker_symb,
clos_prc,
nclos_prc,
case
when clos_prc is null and nclos_prc is not null
then (nclos_prc - LAG( nclos_prc ignore nulls) OVER (ORDER BY
cusip))
when clos_prc is not null and nclos_prc is null
then LEAD( nclos_prc ignore nulls) OVER (ORDER BY cusip)- LAG(
nclos_prc ignore nulls) OVER (ORDER BY cusip)
else NULL
end DIFF
from MKTDATA.MARKET_DAILY_SUMMARY
WHERE day_sum_eff >= '1-JUN-2017' and
day_sum_eff <= '10-JUN-2017' )
)
SELECT ticker_symb,
day_sum_eff,
cusip,
clos_prc,
nclos_prc,
diff
FROM q1
ORDER BY day_sum_eff_,fmr_iss_cusip OFFSET 0 ROWS FETCH NEXT 3 ROW ONLY