多个嵌套查询

Question

我目前正在尝试优化使用mysql和openreports进行会计使用的报告。虽然我确信有更好的工具可以完成这些工作，但这些都是我目前需要处理的。我做了以下计算字段：

客户端， 订货数量， 客户成本， 客户端的调整， 调整客户的价格（客户成本 - 客户端调整）， 供应商成本， 厂商调整， 调整供应商价格（厂商成本 - 供应商调整）， 保证金（（客户计费 - 供应商结算）/客户收费）， ADJ保证金（（形容词客户价格形容词供应商价格）/形容词客户端）

的表是相当大我必须为每个内部连接加入4个表格。之前的报告有一个工会，并且在工会的每一边都有大约20个嵌套选择，所有这些选举至少包含四个连接和计数。由于我正在根据以前的字段进行计算，因此每个嵌套select都逐渐变大，包含所有嵌套的选择，计数和来自先前计算的计算。该查询现在是400行，非常昂贵，并且对系统征税，特别是对于大客户。

我意识到这项工作有更好的工具，但我想知道对于这种情况理想的解决方案是什么。我可以在查询中创建一个用户定义的变量并在以后使用它吗？如果我每个客户端有多个查询，这会工作吗？在这篇文章中，我不能包含整个400行的查询，但我可以提供任何其他细节，这些细节可能会有所帮助。任何有识之士将不胜感激。

select office_1.name as 'Client' 
,count(distinct(property_1.id)) as 'Total Billed Orders', 
(select format(coalesce(sum(serviceprice_2.amount),0),2) 
    from cap.service_price serviceprice_2 
    inner join cap.service service_2 on service_2.id = serviceprice_2.service_id 
    inner join cap.service_area servicearea_2 on servicearea_2.id = service_2.service_area_id 
    inner join cap.property property_2 on property_2.id = servicearea_2.property_id 
    inner join cap.office office_2 on office_2.id = property_2.client_id 
    where serviceprice_2.price_context = 'CLIENT' 
    and serviceprice_2.price_type_id = 236 
    && service_2.date_client_billed between '2012-09-01' and now() 
    and service_2.gl_code_ap='4700-70-000' 
    and service_2.date_cancelled is null 
    and office_2.id = office_1.id) as 'Client Price' 
/* other calculations between here */ 
from cap.service service_1 
inner join cap.service_area servicearea_1 on servicearea_1.id = service_1.service_area_id 
inner join cap.property property_1 on property_1.id = servicearea_1.property_id 
inner join cap.office office_1 on office_1.id = property_1.client_id 
inner join cap.office vendor_1 on vendor_1.id = service_1.vendor_id 
where 
service_1.date_client_billed between '2012-09-01' and now() 
and service_1.date_cancelled is null 
and office_1.id = 26377 
and service_1.gl_code_ap='4700-70-000' 
group by office_1.id 
; 

Answer 1

使用视图可以简化查询，尽管对性能没有影响。

create view view1 as 
select * 
from 
    cap.service_price serviceprice_2 
    inner join cap.service service_2 on service_2.id = serviceprice_2.service_id 
    inner join cap.service_area servicearea_2 on servicearea_2.id = service_2.service_area_id 
    inner join cap.property property_2 on property_2.id = servicearea_2.property_id 
    inner join cap.office office_2 on office_2.id = property_2.client_id 
; 
create view view2 as 
select * 
from 
    cap.service service_1 
    inner join cap.service_area servicearea_1 on servicearea_1.id = service_1.service_area_id 
    inner join cap.property property_1 on property_1.id = servicearea_1.property_id 
    inner join cap.office office_1 on office_1.id = property_1.client_id 
    inner join cap.office vendor_1 on vendor_1.id = service_1.vendor_id 

现在查询是更易于管理：

select @client_price := format(coalesce(sum(serviceprice_2.amount),0),2) 
from view1 
where serviceprice_2.price_context = 'CLIENT' 
    and serviceprice_2.price_type_id = 236 
    && service_2.date_client_billed between '2012-09-01' and now() 
    and service_2.gl_code_ap='4700-70-000' 
    and service_2.date_cancelled is null 
    and office_2.id = office_1.id 
; 
select 
    office_1.name as 'Client' 
    ,count(distinct(property_1.id)) as 'Total Billed Orders', 
    @client_price 
/* other calculations between here */ 
from view2 
where 
    service_1.date_client_billed between '2012-09-01' and now() 
    and service_1.date_cancelled is null 
    and office_1.id = 26377 
    and service_1.gl_code_ap='4700-70-000' 
group by office_1.id