Performance problems in SQL Server -


i´m trying sql sentence works fine (i think) have performance problem, takes 32 minutes execute, , think can poor code, can 1 me how improve it?

this code:

select distinct      s.nombre, l.nomcli cli,     (select max(lineas.fecalb)        lineas       lineas.codart = s.codart , lineas.codcli = l.codcli) fecha,    (select max(proveedores.nombre)      proveedores      proveedores.codpro = s.codpro) proveedor, (select max(lineas.codrep) lineas lineas.codart=s.codart) representante  stock s  inner join lineas l on s.codart=l.codart    s.codart in(select lineas.codart lineas inner join stock on   lineas.codart=stock.codart datediff("d",lineas.fecalb,getdate())<365 , stock.stoexi>0 group lineas.codart having count(lineas.codart)<=2  )and   (s.codart in(  select st.codart stock st st.codart not in  (select lineas.codart lineas  datediff("d",lineas.fecalb,getdate())<=60) , st.stoexi>0)  or s.codart in (select lineas.codart lineas  datediff("d",lineas.fecalb,getdate())<182 group lineas.codart having count(lineas.codart)<=2 , (s.stoexi>0)) or s.codart in (select lineas.codart lineas  datediff("d",lineas.fecalb,getdate())<=182 group lineas.codart having sum(lineas.unidad)<s.stoexi))  order s.nombre,l.nomcli desc ;

first have more or less same sentence without first condition

 s.codart in (select lineas.codart                lineas                inner join stock on lineas.codart = stock.codart                datediff("d", lineas.fecalb, getdate()) < 365                  , stock.stoexi > 0                group lineas.codart                having count(lineas.codart) <= 2) ,

works fine takes 18 seconds.

the líneas table have 600000 rows , stock 53000

in condition calculating datediff each record. database won't able use index field, field isn't compared specific value. instead should calculate point in time compare field to.

instead of:

datediff("d",lineas.fecalb,getdate())<182

try:

lineas.fecalb >= dateadd("d", -182, getdate())

your use of distinct means run subqueries more times need, discard duplicates. should try first filter out records want result for, can run subqueries on that.


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