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_salesfrom ( 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)vfull 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)vvon 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_volumefrom ( 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)vgroup 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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