最近在忙着优化集团公司的一个报表。优化完成后，报表查询速度有从半小时以上(甚至查不出)到秒查的质变。从修改SQL查询语句逻辑到决定创建存储

过程实现，花了我3天多的时间，在此总结一下，希望对朋友们有帮助。

数据背景

首先项目是西门子中国在我司实施部署的MES项目，由于项目是在产线上运作(3 years+)，数据累积很大。在项目的数据库中，大概上亿条数据的表有5个以上，千万级数据的表10个以上，百万级数据的表，很多...

(历史问题，当初实施无人监管，无人监控数据库这块的性能问题。ps:我刚入职不久...)

不多说，直接贴西门子中国的开发人员在我司开发的SSRS报表中的SQL语句：

 1 select distinct b.MaterialID as matl_def_id, c.Descript, case when right(b.MESOrderID, 12) < '001000000000' then right(b.MESOrderID, 9)  2 else right(b.MESOrderID, 12) end as pom_order_id, a.LotName, a.SourceLotName as ComLot,  3 e.DefID as ComMaterials, e.Descript as ComMatDes, d.VendorID, d.DateCode,d.SNNote, b.OnPlantID,a.SNCUST 4 from  5 ( 6   select m.lotname, m.sourcelotname, m.opetypeid, m.OperationDate,n.SNCUST from View1 m 7   left join co_sn_link_customer as n on n.SNMes=m.LotName 8   where  9   ( m.LotName in (select val from fn_String_To_Table(@sn,',',1)) or (@sn) = '') and 10   ( m.sourcelotname in (select val from fn_String_To_Table(@BatchID,',',1)) or (@BatchID) = '')11   and (n.SNCust like '%'+ @SN_ext + '%' or (@SN_ext)='')12 ) a13 left join 14 (15   select * from Table1 where SNType = 'IntSN'16   and SNRuleName = 'ProductSNRule'17   and OnPlantID=@OnPlant18 ) b on b.SN = a.LotName19 inner join MMdefinitions as c on c.DefID = b.MaterialID20 left join Table1 as d on d.SN = a.SourceLotName 21 inner join MMDefinitions as e on e.DefID = d.MaterialID22 where not exists (23 select distinct LotName, SourceLotName from ELCV_ASSEMBLE_OPS 24 where LotName = a.SourceLotName and SourceLotName = a.LotName25 ) 26 and (d.DateCode in (select val from fn_String_To_Table(@DCode,',',1)) or (@DCode) = '')27 and (d.SNNote like '%'+@SNNote+'%' or (@SNNote) = '')28 and ((case when right(b.MESOrderID, 12) < '001000000000' then right(b.MESOrderID, 9) 29 else right(b.MESOrderID, 12) end) in (select val from fn_String_To_Table(@order_id,',',1)) or (@order_id) = '')30 and (e.DefID in (select val from fn_String_To_Table(@comdef,',',1)) or (@comdef) = '')31 --View1是一个嵌套两层的视图(出于保密性，实际名称可能不同)，里面有一张上亿数据的表和几张千万级数据的表做左连接查询32 --Table1是一个数据记录超过1500万的表

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原标题：实战：上亿数据如何秒查

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