我们的仓库管理包在存储过程方面存在瓶颈(众多瓶颈之一),主要的速度减慢是由于生成此执行计划的查询造成的。
https://www.brentozar.com/pastetheplan/?id=HkNg65elP
存储过程可能需要 3 到 10 秒才能运行,这在其运行的业务流程上下文中相当慢。
一些附加信息:是的,有一个表正在进行全表扫描,但该表很窄,只有 76 行。该查询执行一些左连接和一些排序,这是产生正确的顶部结果所需的。总的来说,它有点像“Rube Goldberg”类型的查询,可能可以简化,但我的目标是看看是否可以帮助建立一些索引(我已经完成了,它有一点帮助),甚至是一些如果需要,对查询进行小调整。
最后,我需要根据计划知道接下来要关注的地方。
这是查询:
SELECT TOP 1 loc.location_id, loc.wh_id
FROM t_item_uom itu WITH (NOLOCK)
INNER JOIN t_class_loca clc WITH (NOLOCK)
ON itu.wh_id = clc.wh_id
AND ISNULL(dbo.usf_get_item_class_dia_ovrd ('13098271', '895', itu.uom, NULL), itu.class_id) = clc.class_id
INNER JOIN t_location loc WITH (NOLOCK)
ON clc.wh_id = loc.wh_id
AND clc.location_id = loc.location_id
INNER JOIN t_pick_area pka WITH (NOLOCK)
ON pka.pick_area = loc.pick_area
AND pka.wh_id = loc.wh_id
AND (pka.pick_area <> N'LABEL' OR (pka.pick_area = N'LABEL' AND 0 IS NULL AND 0 IS NULL) )
AND (pka.pick_area_type = 'R' OR (pka.pick_area_type = 'V' and 0 IS NULL) )
INNER JOIN t_zone_loca zlc WITH (NOLOCK)
ON loc.wh_id = zlc.wh_id
AND loc.location_id = zlc.location_id
INNER JOIN (
SELECT loc.wh_id, loc.pnd_location_id --, loc.location_id
FROM t_location loc with (nolock)
inner join t_class_loca clc WITH (NOLOCK)
on clc.location_id = loc.location_id
and clc.wh_id = loc.wh_id
and clc.class_id = 'APPAREL'
LEFT JOIN t_stored_item sto with (nolock)
ON sto.put_away_location = loc.location_id
AND sto.wh_id = loc.wh_id --BTH 20160907 missing wh_id
AND sto.put_away_location IS NOT NULL
AND sto.type = 0
WHERE loc.type in ('I','M')
AND loc.pnd_location_id IS NOT NULL --BTH 20160907 - remove from having clause, add here
GROUP BY loc.wh_id, loc.pnd_location_id, loc.c3
HAVING ((COUNT(sto.hu_id) < 100
and loc.pnd_location_id IS NOT NULL --BTH 201600907
and c3 is null)
OR (COUNT(sto.hu_id) < 500 --and loc.pnd_location_id IS NOT NULL --BTH 201600907
and c3 = 'BULK'))
) as pnd
ON pnd.wh_id = loc.wh_id
AND pnd.pnd_location_id = loc.pnd_location_id
LEFT OUTER JOIN t_put_rules_empty_and_unalloc_locs_by_pnd tpr WITH (NOLOCK)
ON tpr.pnd_location_id = loc.pnd_location_id
AND tpr.class_id = itu.class_id
AND tpr.wh_id = loc.wh_id
LEFT OUTER JOIN t_work_q q WITH(NOLOCK)
ON q.location_id = loc.location_id
AND q.wh_id = loc.wh_id
AND q.work_type = '08'
AND q.work_status = 'U'
WHERE loc.status = 'E'
AND ISNULL(q.work_q_id, 0) = 0
AND ( loc.c3 is null or loc.c3 not in ('R','H','S'))
AND (
(
loc.type = 'M'
AND ( (SELECT TOP 1 max_sku_count
FROM t_zone zone2 (NOLOCK)
WHERE zone2.wh_id = loc.wh_id
AND loc.zone = zone2.zone) >
(SELECT COUNT(sto2.item_number)
FROM t_stored_item sto2 (NOLOCK)
WHERE loc.wh_id = sto2.wh_id
AND loc.location_id = sto2.location_id
)
OR '13098271' IN (SELECT sto2.item_number
FROM t_stored_item sto2 (NOLOCK)
WHERE loc.wh_id = sto2.wh_id
AND loc.location_id = sto2.location_id
)
)
)
OR (loc.type = 'I' AND itu.unit_volume = 0 AND itu.nested_volume = 0)
OR (loc.type = 'I' AND loc.capacity_volume = 0)
OR (loc.type = 'I' AND loc.capacity_volume >= 0 +
(CASE
WHEN 0 = 0 THEN 0
ELSE 0
END * (1 - 1)
)
)
)
--Ensure that only one item is designated to the location
AND (loc.type = 'M'
OR (loc.type = 'I' AND NOT EXISTS (SELECT 1
FROM t_stored_item sto2 WITH (NOLOCK) -- Sum the item in the location to determine volume
WHERE sto2.wh_id = loc.wh_id
AND sto2.put_away_location = loc.location_id)))
AND itu.wh_id = '895'
AND itu.item_number = '13098271'
AND clc.class_id = 'APPAREL'
AND zlc.zone = 'ALL'
ORDER BY
tpr.percent_empty_and_unalloc DESC,
loc.type,
loc.user_count,
loc.picking_flow,
loc.location_id
最佳答案
基于对您的执行计划的一些快速浏览。根据成本,问题 1 和问题 3 将为您带来最佳的投资返回率。
第一期:Key Lookup
在您的索引 IDX_wh_id_status_pnd_location_id
上,您的索引的 INCLUDE 部分缺少列 zone
。
简而言之:您正在比较不同类型的列。确保比较相同类型的列。如果这些是外键列,则两个表中的类型应该完全相同。如果它们是参数,请更改类型或转换/隐藏它们。
第三期:聚合
您对 [t_stored_item].[sto].put_away_location
进行了聚合(最大值、计数、平均值等),行估计值为 129108。
尝试创建一个 indexed view对于这部分查询,在索引 View 中进行聚合。请改用索引 View 。 More info
估计与实际情况相差甚远,您可以尝试重建统计数据,但这可能没有帮助。为什么? Read this
第四期:用户定义函数
您有一个带有 usf_get_item_class_dia_ovrd
的 INNER JOIN 是否可以内联编写用户定义函数的逻辑?当我们内联执行时,代码通常会得到优化,现在标量函数是逐行执行而不是基于集合执行。
第五个问题:持续扫描 - 实际行数 0
这可能不是一个大问题,但当表达式相互抵消时,通常会发生这种情况。虚拟示例:1 = 0
将始终计算为 0 行,因此 SQL Server 将其替换为空常量扫描。
在复杂的查询中,您可能无法立即找到这些内容。这不会对性能产生太大影响,但当您从查询中删除这些计划时,您可能会获得更好的执行计划。
有兴趣观看this video更好地理解查询优化器。 (有点旧,但仍然相关)
奖励:参数嗅探
您提到这是一个存储过程。存储过程通常会出现 parameters sniffing 的问题。 .
关于sql-server - 如何最好地执行这个执行计划,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/62970906/