SQL 服务器:return 现有库存单位的最新成本修订的子查询
SQL Server : subquery to return the latest cost revision of a unit of inventory on hand
我有 2 个 table 试图结合在一起以得到一个结果,它告诉我仍在手头的物品的标准成本(基于 FIFO 成本核算方法) .第一个 table 是 inventory receipts ,它告诉我剩下要消耗的零件以及这些收据的交易日期。第二个是标准成本视图,它告诉我该项目的成本历史(rev = 修订号,每次更新零件的标准成本时增加 1)。
我目前有一个解决方案,它使用 TOP 1 并在成本生效日期按 DESC 订购,但是,当我 运行 将其用于公司的整个库存清单时,需要超过 16 分钟的时间到 TOP 1 子查询的低效率和成本。
示例数据(现有库存收据):
partID warehouse transDate seqn orderID qtytoconsume
-------------------------------------------------------------
P0003 W01 2019-01-24 00:00:00.000 1 ORD0187 2
P0003 W01 2018-06-24 00:00:00.000 1 ORD0099 3
P0003 W01 2018-11-24 00:00:00.000 1 ORD0165 1
P0003 W04 2018-12-14 00:00:00.000 1 ORD0175 1
P0002 W02 2019-01-14 00:00:00.000 1 ORD0184 4
P0002 W02 2019-03-24 00:00:00.000 1 ORD0199 1
P0002 W03 2018-05-27 00:00:00.000 1 ORD0093 1
P0002 W03 2018-12-06 00:00:00.000 1 ORD0171 2
P0001 W04 2018-09-09 00:00:00.000 1 ORD0146 5
P0001 W02 2019-04-22 00:00:00.000 1 ORD0200 4
P0001 W03 2019-03-29 00:00:00.000 1 ORD0200 2
P0001 W02 2018-02-14 00:00:00.000 1 ORD0061 1
和标准成本视图:
partID document effdate rev costamt
-----------------------------------------------------
P0001 IV0001 2018-01-28 00:00:00.000 1 1000.00
P0001 IV0023 2018-06-30 00:00:00.000 2 1200.00
P0001 IV0045 2019-01-01 00:00:00.000 3 1300.00
P0002 IV0001 2018-01-28 00:00:00.000 1 45.00
P0002 IV0013 2018-04-10 00:00:00.000 2 42.00
P0002 IV0045 2019-01-01 00:00:00.000 3 56.00
P0003 IV0001 2018-01-28 00:00:00.000 1 23400.00
P0003 IV0003 2018-02-20 00:00:00.000 2 11200.00
P0003 IV0045 2019-01-01 00:00:00.000 3 15000.00
P0003 IV0047 2019-02-27 00:00:00.000 4 13400.00
P0003 IV0078 2019-05-03 00:00:00.000 5 14670.00
我的结果(等于我的预期结果),但对于大行集来说不太理想。
partID warehouse transDate seqn orderID qty costamt
-------------------------------------------------------------
P0003 W01 2019-01-24 00:00:00.000 1 ORD0187 2 15000.00
P0003 W01 2018-06-24 00:00:00.000 1 ORD0099 3 11200.00
P0003 W01 2018-11-24 00:00:00.000 1 ORD0165 1 11200.00
P0003 W04 2018-12-14 00:00:00.000 1 ORD0175 1 11200.00
P0002 W02 2019-01-14 00:00:00.000 1 ORD0184 4 56.00
P0002 W02 2019-03-24 00:00:00.000 1 ORD0199 1 56.00
P0002 W03 2018-05-27 00:00:00.000 1 ORD0093 1 42.00
P0002 W03 2018-12-06 00:00:00.000 1 ORD0171 2 42.00
P0001 W04 2018-09-09 00:00:00.000 1 ORD0146 5 1200.00
P0001 W02 2019-04-22 00:00:00.000 1 ORD0200 4 1300.00
P0001 W03 2019-03-29 00:00:00.000 1 ORD0200 2 1300.00
P0001 W02 2018-02-14 00:00:00.000 1 ORD0061 1 1000.00
我的查询是:
SELECT
ioh.*, sc.costamt, sc.effdate
FROM
inventoryonHand ioh
LEFT JOIN
standardcosts sc ON sc.partID = ioh.partID
AND sc.effdate = (SELECT TOP 1 sc2.effDate
FROM standardcosts sc2
WHERE sc2.partID = sc.partID
AND sc2.effDate < ioh.transDate
ORDER BY sc2.partID ASC, sc2.effDate DESC);
非常感谢你们!
您可以尝试使用 max()
.
来简化子查询
(SELECT max(sc1.effdate)
FROM standardcosts sc2
WHERE sc2.partid = sc.partid
AND sc2.effdate < ioh.transdate)
为了提高性能,请尝试在 standardcosts (partid ASC, effdate DESC)
上建立索引。
你可以试一试(如果你考虑partID和transdate在你的inventoryonHand中是唯一的table,否则使用partition by on his key):
select * from (
select f1.*,
f2.effdate, f2.costamt, f2.rev,
row_number() over(partition by f1.partid, f1.transdate order by f2.effdate desc, f2.rev desc) as lasteffDaterank
from inventoryonHand f1
left outer join standardcosts f2 on f1.partid=f2.partid and f2.effDate < f1.transDate
) tmp
where lasteffDaterank=1
你也可以试试这个,不确定它是否更好;)
select f1.*, f3.*
from inventoryonHand f1
outer apply
(
select top 1 f2.costamt from standardcosts f2
where f1.partid=f2.partid and f2.effDate < f1.transDate
order by f2.effdate desc, f2.rev desc
) f3
我有 2 个 table 试图结合在一起以得到一个结果,它告诉我仍在手头的物品的标准成本(基于 FIFO 成本核算方法) .第一个 table 是 inventory receipts ,它告诉我剩下要消耗的零件以及这些收据的交易日期。第二个是标准成本视图,它告诉我该项目的成本历史(rev = 修订号,每次更新零件的标准成本时增加 1)。
我目前有一个解决方案,它使用 TOP 1 并在成本生效日期按 DESC 订购,但是,当我 运行 将其用于公司的整个库存清单时,需要超过 16 分钟的时间到 TOP 1 子查询的低效率和成本。
示例数据(现有库存收据):
partID warehouse transDate seqn orderID qtytoconsume
-------------------------------------------------------------
P0003 W01 2019-01-24 00:00:00.000 1 ORD0187 2
P0003 W01 2018-06-24 00:00:00.000 1 ORD0099 3
P0003 W01 2018-11-24 00:00:00.000 1 ORD0165 1
P0003 W04 2018-12-14 00:00:00.000 1 ORD0175 1
P0002 W02 2019-01-14 00:00:00.000 1 ORD0184 4
P0002 W02 2019-03-24 00:00:00.000 1 ORD0199 1
P0002 W03 2018-05-27 00:00:00.000 1 ORD0093 1
P0002 W03 2018-12-06 00:00:00.000 1 ORD0171 2
P0001 W04 2018-09-09 00:00:00.000 1 ORD0146 5
P0001 W02 2019-04-22 00:00:00.000 1 ORD0200 4
P0001 W03 2019-03-29 00:00:00.000 1 ORD0200 2
P0001 W02 2018-02-14 00:00:00.000 1 ORD0061 1
和标准成本视图:
partID document effdate rev costamt
-----------------------------------------------------
P0001 IV0001 2018-01-28 00:00:00.000 1 1000.00
P0001 IV0023 2018-06-30 00:00:00.000 2 1200.00
P0001 IV0045 2019-01-01 00:00:00.000 3 1300.00
P0002 IV0001 2018-01-28 00:00:00.000 1 45.00
P0002 IV0013 2018-04-10 00:00:00.000 2 42.00
P0002 IV0045 2019-01-01 00:00:00.000 3 56.00
P0003 IV0001 2018-01-28 00:00:00.000 1 23400.00
P0003 IV0003 2018-02-20 00:00:00.000 2 11200.00
P0003 IV0045 2019-01-01 00:00:00.000 3 15000.00
P0003 IV0047 2019-02-27 00:00:00.000 4 13400.00
P0003 IV0078 2019-05-03 00:00:00.000 5 14670.00
我的结果(等于我的预期结果),但对于大行集来说不太理想。
partID warehouse transDate seqn orderID qty costamt
-------------------------------------------------------------
P0003 W01 2019-01-24 00:00:00.000 1 ORD0187 2 15000.00
P0003 W01 2018-06-24 00:00:00.000 1 ORD0099 3 11200.00
P0003 W01 2018-11-24 00:00:00.000 1 ORD0165 1 11200.00
P0003 W04 2018-12-14 00:00:00.000 1 ORD0175 1 11200.00
P0002 W02 2019-01-14 00:00:00.000 1 ORD0184 4 56.00
P0002 W02 2019-03-24 00:00:00.000 1 ORD0199 1 56.00
P0002 W03 2018-05-27 00:00:00.000 1 ORD0093 1 42.00
P0002 W03 2018-12-06 00:00:00.000 1 ORD0171 2 42.00
P0001 W04 2018-09-09 00:00:00.000 1 ORD0146 5 1200.00
P0001 W02 2019-04-22 00:00:00.000 1 ORD0200 4 1300.00
P0001 W03 2019-03-29 00:00:00.000 1 ORD0200 2 1300.00
P0001 W02 2018-02-14 00:00:00.000 1 ORD0061 1 1000.00
我的查询是:
SELECT
ioh.*, sc.costamt, sc.effdate
FROM
inventoryonHand ioh
LEFT JOIN
standardcosts sc ON sc.partID = ioh.partID
AND sc.effdate = (SELECT TOP 1 sc2.effDate
FROM standardcosts sc2
WHERE sc2.partID = sc.partID
AND sc2.effDate < ioh.transDate
ORDER BY sc2.partID ASC, sc2.effDate DESC);
非常感谢你们!
您可以尝试使用 max()
.
(SELECT max(sc1.effdate)
FROM standardcosts sc2
WHERE sc2.partid = sc.partid
AND sc2.effdate < ioh.transdate)
为了提高性能,请尝试在 standardcosts (partid ASC, effdate DESC)
上建立索引。
你可以试一试(如果你考虑partID和transdate在你的inventoryonHand中是唯一的table,否则使用partition by on his key):
select * from (
select f1.*,
f2.effdate, f2.costamt, f2.rev,
row_number() over(partition by f1.partid, f1.transdate order by f2.effdate desc, f2.rev desc) as lasteffDaterank
from inventoryonHand f1
left outer join standardcosts f2 on f1.partid=f2.partid and f2.effDate < f1.transDate
) tmp
where lasteffDaterank=1
你也可以试试这个,不确定它是否更好;)
select f1.*, f3.*
from inventoryonHand f1
outer apply
(
select top 1 f2.costamt from standardcosts f2
where f1.partid=f2.partid and f2.effDate < f1.transDate
order by f2.effdate desc, f2.rev desc
) f3