今天收到一个需求，要改写一个报表的逻辑，当改完之后，再次运行，发现运行超时。
因为特殊原因，无法访问客户的服务器，没办法查看sql的执行计划、没办法知道表中的索引情况，所以，尝试从语句的改写上来优化。
一、原始语句如下：
select isnull(vv.customer_id,v.customer_id) as customer_id,
isnull(vv.business_date,replace(v.business_date,'-','')) as business_date,
v.prod_id,
v.sales,
vv.visit_count,
v.all_sales
from
(
select a.customer_id ,
max(month)+'-01' as business_date,
a.prod_id ,
sum(cast(value as numeric(38, 3))) sales,
sum(sum(cast(value as numeric(38, 3)))) over(partition by a.customer_id) as all_sales
from tb_import_sales a
where a.customer_id is not null
and a.prod_id is not null
and a.month='2016-11'
group by a.customer_id ,
a.prod_id
)v
full join
(
select customer_id,
max(a.business_date) as business_date,
count(*) as visit_count
from tb_call_store a with(nolock)
inner join tb_time d
on a.business_date = d.t_date
where d.section ='2016-11'
group by customer_id
)vv
on v.customer_id = vv.customer_id
原来是left join，虽然查询比较慢，但是2分钟能查出来，现在按照业务要求，需要看到所有数据，所以改成了full join，改了之后5分钟都查不出结果。
二、改写后的代码
select v.customer_id,
replace(max(v.business_date),'-','') as business_date,
v.prod_id,
max(v.sales_volume) sales_volume ,
max(v.visit_count) visit_count,
max(v.all_sales_volume) all_sales_volume
from
(
select a.customer_id ,
max(biz_month)+'-01' as business_date,
a.prod_id ,
sum(cast(value1 as numeric(38, 8))) sales_volume,
sum(sum(cast(value1 as numeric(38, 8)))) over(partition by a.customer_id) as all_sales_volume,
null as visit_count
from tb_import_sales a
where a.customer_id is not null
and a.prod_id is not null
and a.month='2016-11'
group by a.customer_id ,
a.prod_id
union all
select customer_id,
max(a.business_date) as business_date,
p.prod_id,
null,
null,
count(*) as visit_count
from tb_call_store a with(nolock)
cross apply
(
select top 1 prod_id from tb_product with(nolock)
)p
inner join tb_time d
on a.business_date = d.t_date
where d.section ='2016-11'
group by customer_id,p.prod_id
)v
group by v.customer_id,
v.prod_id
由于代码本身比较简单，没办法再进一步简化，而由于连接不了服务器，其他的方法也用不上，甚至没办法分析到底是什么导致运行这么慢。
想了想，full join 本质上就是 2次left join+union ，无非就是合并数据，于是尝试一下用union all来直接合并数据，现在改成unoin all最后，就不需要full join。
但是考虑到第2段代码中并没有prod_id这个字段，所以这里在第2段代码加上了cross apply随便取出一个产品的id，这样就有prod_id这个字段，可以合并了。
修改之后，果然速度降到了10多秒。
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