Question

Well I have a series of sps that are running a data warehousing solution that we have developed in house. While on the most part it runs pretty good, there is one stored procedure that runs really slow. It takes about 30 minutes on average to execute. I know exactly where the bottle neck is, I just don’t know how to fix it.

Basically what the stored procedure does is create a series of variable temp tables and insert into those tables. no problem there. it then joins the temp tables and inserts into another temp table, twice (the second one is a little different).

this is the statement that joins the tables and inserts into the temp table, and is the part that takes forever. any help would be greatly appreciated.

; with Requested as
(
    select distinct 
        PONUMBER as PONumber, 
        min(REQSTDBY) as RequestedBy
    from dw.POP10110
    where REQSTDBY <>''
    group by PONUMBER
)
insert into @tblTableA
(
    PONumber, 
    ReceiptNumber,
    ReceiptLineNumber, 
    VendorID, 
    POType, 
    QuantityShipped, 
    QuantityInvoiced,
    ItemNumber, 
    ItemDescription, 
    UofM, 
    UnitCost, 
    ExtendedCost, 
    SiteID,
    ProjectNumber, 
    AccountID, 
    RequestedBy, 
    GLPostDate, 
    VendorName, 
    CostCategoryID
) 

select 
    a.PONUMBER, 
    a.POPRCTNM, 
    a.RCPTLNNM, 
    a.VENDORID, 
    a.POPTYPE, 
    a.QTYSHPPD, 
    a.QTYINVCD,
    b.ITEMNMBR,
    b.ITEMDESC,
    b.UOFM,
    b.UNITCOST,
    b.EXTDCOST,
    b.LOCNCODE,
    b.ProjNum,
    case i.CostCategoryID 
        when 'MISC' then isnull(i.AccountID,'N/A')

        else 
            case j.CostCategoryID 
                when 'MISC' then 
                    isnull(j.AccountID,'N/A')

                else 
                    isnull(c.PurchaseAccount,'N/A') 
            end
    end as AccountID,
    d.RequestedBy,
    coalesce(e.GLPOSTDT, f.GLPOSTDT, '') as GLPostDate,
    coalesce(e.VENDNAME, f.VENDNAME, '') as VENDNAME,
    case i.CostCategoryID when 'MISC' then i.CostCategoryID else 
        case j.CostCategoryID when 'MISC' then j.CostCategoryID else coalesce(g.CostCategoryID, h.CostCategoryID, '') end
    end as CostCategoryID

from dw.POP10500 a
    inner join dw.POP30310 b
        on a.PONUMBER=b.PONUMBER
            and a.POPRCTNM=b.POPRCTNM
            and a.RCPTLNNM=b.RCPTLNNM
    left outer join @gl00100 c
        on b.INVINDX=c.ActID
    left outer join Requested d
        on b.PONUMBER = d.PONumber
    left outer join dw.POP30300 e
        on b.POPRCTNM=e.POPRCTNM
    left outer join dw.POP10300 f
        on b.POPRCTNM=f.POPRCTNM
    left outer join @pop31310 g
        on b.POPRCTNM=g.ReceiptNumber
    left outer join @pop11310 h
        on b.POPRCTNM=h.ReceiptNumber
    left outer join @pop30390 i
        on a.POPRCTNM=i.ReceiptNumber
    left outer join @pop10390 j
        on a.POPRCTNM=j.ReceiptNumber

As far as i am aware the appropriate indexes are in place.

Answer 1

added statistics to some of the tables and an index and it cut the time down from 25 minutes to 9 minutes.