SQL Query Performance Issue
Hey,
Please forgive me if I'm missing something really obvious but it's been a while since I did any SQL work and I'm obviously a bit rusty.
When the below query is run the CPU on the SQL server maxes out. The query itself takes over 6 hours to run.
Is there anything glaringly obvious with the query that might be causing thisCheers
Paul
SELECT TOP (100) PERCENT dbo.CUSTPACKINGSLIPTRANS.ITEMID AS [Stock Code],
dbo.CUSTPACKINGSLIPTRANS.SALESUNIT AS [Unit of Sale],
dbo.DIMENSIONFINANCIALTAG.DESCRIPTION AS [Product Group],
dbo.INVENTITEMGROUP.ITEMGROUPID AS [Item Group],
dbo.INVENTTABLE.SECTION,
dbo.INVENTTABLE.GROUPS AS [Group],
dbo.INVENTTABLE.SUBGROUPS AS [Sub Group],
dbo.CUSTPACKINGSLIPJOUR.ORDERACCOUNT AS [Cust Account],
dbo.CUSTTABLE.INVOICEACCOUNT AS [Invoice Account],
dbo.DIRPARTYTABLE.NAME AS [Cust Name],
dbo.CUSTTABLE.CURRENCY,
dbo.CUSTTABLE.CIT_CONTROLLER AS [Credit Controller],
dbo.CUSTTABLE.CREDITMAX AS [Credit Limit],
dbo.CUSTTABLE.CUSTCLASSIFICATIONID AS Classification,
dbo.DIRPERSONNAME.FIRSTNAME + ' ' + dbo.DIRPERSONNAME.LASTNAME AS [Sales Person],
dbo.SALESTABLE.SALESGROUP AS [Outside Rooms],
CASE WHEN CUSTTABLE.CUSTCLASSIFICATIONID = 'Cash' THEN dbo.SALESTABLE.SALESGROUP ELSE dbo.CUSTTABLE.SALESGROUP END AS [Sales Rep],
dbo.LOGISTICSPOSTALADDRESS.STATE [Customer Region],
dbo.LOGISTICSPOSTALADDRESS.COUNTY [Customer County],
dbo.CUSTTABLE.LINEOFBUSINESSID AS [Line Of Business],
a.DISPLAYVALUE AS [Site/Location],
dbo.CUSTPACKINGSLIPTRANS.PACKINGSLIPID AS [Delivery Ref],
dbo.LOGISTICSPOSTALADDRESS.COUNTRYREGIONID,
CONVERT(varchar(12), dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE, 111) AS [Delivery Date],
dbo.LOGISTICSPOSTALADDRESS.ADDRESS AS [Delivery Address],
dbo.CUSTPACKINGSLIPTRANS.VALUEMST AS [Delivery Value (CON)],
CONVERT(varchar(12), dbo.SALESTABLE.RECEIPTDATEREQUESTED, 111) AS [Requested Delivery Date],
dbo.SALESTABLE.SALESID AS [Order Ref],
CASE dbo.SALESTABLE.SALESSTATUS WHEN '0' THEN 'None' WHEN '1' THEN 'Open Order' WHEN '2' THEN 'Delivered' WHEN '3' THEN 'Invoiced' WHEN '4' THEN 'Canceled' END AS [Sales Status],
CASE dbo.SALESTABLE.SALESTYPE WHEN '0' THEN 'Journal' WHEN '1' THEN 'Quotation' WHEN '2' THEN 'Subscription' WHEN '3' THEN 'Sales Order' WHEN '4' THEN 'Returned Item' WHEN '5' THEN 'Blanket Order' WHEN '6' THEN 'Item Requirements' WHEN '7' THEN 'Undefined' END AS [Sales Type],
CASE dbo.SALESTABLE.AG_SALESLOCATION WHEN '0' THEN 'None' WHEN '1' THEN 'OR_DGN' WHEN '2' THEN 'OR_FMT' WHEN '3' THEN 'OR_TME' WHEN '4' THEN 'OR_OMA' WHEN '5' THEN 'DSP_DGN' WHEN '6' THEN 'DSP_FMT' WHEN '7' THEN 'DSP_TME' WHEN '8' THEN 'DSP_OMA' WHEN '9' THEN 'DSP_BEL' WHEN '10' THEN 'DSP_CDF' WHEN '11' THEN 'DSP_BGY' WHEN '12' THEN 'Credit Control' WHEN '13' THEN 'Internal Sales' WHEN '14' THEN 'CP_FMT' WHEN '15' THEN 'GBSales' END AS [Sales Location],
dbo.SALESTABLE.PURCHORDERFORMNUM AS [Customer Requisition],
dbo.SALESLINE.LINEDISC AS [Line Disc],
dbo.SALESLINE.LINEPERCENT AS [Line Percent],
dbo.SALESLINE.PRICEGROUPID AS [Price Group],
dbo.INVENTDIM.INVENTLOCATIONID AS Warehouse,
dbo.DIRPARTYTABLE.NAMEALIAS AS [Search Name],
dbo.CUSTPACKINGSLIPJOUR.LORRYID AS [Lorry ID],
dbo.CUSTPACKINGSLIPJOUR.LORRYREGNO AS [Lorry Reg],
dbo.CUSTPACKINGSLIPJOUR.LORRYDRIVER AS [Lorry Driver],
CASE dbo.SALESLINE.BLOCKED WHEN '0' THEN 'No' WHEN '1' THEN 'Yes' END AS [Stopped?],
dbo.CUSTPACKINGSLIPTRANS.QTY AS [Qty Delivered],
dbo.SALESLINE.SALESPRICE AS [Unit Price],
dbo.CUSTPACKINGSLIPJOUR.CREATEDBY AS [SDN Creator],
MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) AS Month,
YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) AS Year,
DATEPART(week, dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) AS WeekNo,
CASE MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) WHEN '1' THEN '10' WHEN '2' THEN '11' WHEN '3' THEN '12' WHEN '4' THEN '1' WHEN '5' THEN '2' WHEN '6' THEN '3' WHEN '7' THEN '4' WHEN '8' THEN '5' WHEN '9' THEN '6' WHEN '10' THEN '7' WHEN '11' THEN '8' WHEN '12' THEN '9' END AS [Fin Period], CASE WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) <= '3' THEN CONVERT(VARCHAR(10), (YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) - 1)) + '/' + CONVERT(VARCHAR(10), YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE)) WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) >= '4' THEN CONVERT(VARCHAR(10), YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE)) + '/' + CONVERT(VARCHAR(10), (YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) + 1)) END AS [Fin Year],
CASE WHEN dbo.custpackingsliptrans.salesunit = '100' THEN dbo.CUSTPACKINGSLIPTRANS.SALESUNIT * dbo.CUSTPACKINGSLIPTRANS.QTY WHEN dbo.custpackingsliptrans.salesunit = '1000' THEN dbo.CUSTPACKINGSLIPTRANS.SALESUNIT * dbo.CUSTPACKINGSLIPTRANS.QTY ELSE dbo.CUSTPACKINGSLIPTRANS.QTY END AS [No of Units],
CASE dbo.INVENTITEMGROUPITEM.ITEMGROUPID WHEN 'Mortar' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Sand' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Decorative Gravel' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Crushed Aggregates' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Lintels' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) / 1000 WHEN 'TBeams' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) / 1000 WHEN 'Aggregates' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Lime' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY * dbo.UNITOFMEASURECONVERSION.FACTOR) WHEN 'Readymix' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) / 1000 ELSE (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY * dbo.UNITOFMEASURECONVERSION.FACTOR) / 1000 END AS Tonnage,
dbo.INVENTTABLE.NETWEIGHT AS [Net Weight],
dbo.INVENTTABLE.PRODCOSTA,
dbo.INVENTTABLE.PRODCOSTB,
dbo.INVENTTABLE.PRODCOSTC,
dbo.INVENTTABLE.PRODCOSTD,
dbo.INVENTTABLE.PRODCOSTE,
dbo.INVENTTABLE.PRODCOSTF,
dbo.INVENTTABLE.PRODCOSTG,
dbo.INVENTTABLE.PRODCOSTH,
dbo.INVENTTABLE.QTYPERBALE,
dbo.INVENTTABLE.M2PERBALE,
dbo.SALESTABLE.SALESTYPE,
dbo.SALESTABLE.DLVMODE AS [Delivery Mode],
CONVERT(varchar(12), dbo.SALESTABLE.SHIPPINGDATECONFIRMED, 111) AS [Shipping Date Confirmed],
CONVERT(varchar(12), dbo.SALESTABLE.CREATEDDATETIME, 111) AS [Created Date],
dbo.SALESLINE.CUSTGROUP AS [Cust Group],
dbo.INVENTTABLE.MADETOORDER AS [Made To Order]
FROM dbo.CUSTPACKINGSLIPTRANS INNER JOIN
dbo.CUSTPACKINGSLIPJOUR ON dbo.CUSTPACKINGSLIPTRANS.PACKINGSLIPID = dbo.CUSTPACKINGSLIPJOUR.PACKINGSLIPID INNER JOIN
dbo.SALESLINE ON dbo.CUSTPACKINGSLIPJOUR.SALESID = dbo.SALESLINE.SALESID AND
dbo.CUSTPACKINGSLIPTRANS.INVENTTRANSID = dbo.SALESLINE.INVENTTRANSID INNER JOIN
dbo.INVENTTABLE ON dbo.CUSTPACKINGSLIPTRANS.ITEMID = dbo.INVENTTABLE.ITEMID INNER JOIN
dbo.INVENTITEMGROUPITEM ON dbo.INVENTTABLE.ITEMID = dbo.INVENTITEMGROUPITEM.ITEMID INNER JOIN
dbo.INVENTITEMGROUP ON dbo.INVENTITEMGROUPITEM.ITEMGROUPID = dbo.INVENTITEMGROUP.ITEMGROUPID INNER JOIN
dbo.INVENTDIM ON dbo.SALESLINE.INVENTDIMID = dbo.INVENTDIM.INVENTDIMID INNER JOIN
dbo.CUSTTABLE ON dbo.CUSTPACKINGSLIPJOUR.ORDERACCOUNT = dbo.CUSTTABLE.ACCOUNTNUM INNER JOIN
dbo.DIRPARTYTABLE ON dbo.CUSTTABLE.PARTY = dbo.DIRPARTYTABLE.RECID INNER JOIN
dbo.LOGISTICSPOSTALADDRESS ON dbo.DIRPARTYTABLE.PRIMARYADDRESSLOCATION = dbo.LOGISTICSPOSTALADDRESS.LOCATION INNER JOIN
dbo.SALESTABLE ON dbo.SALESLINE.SALESID = dbo.SALESTABLE.SALESID INNER JOIN
dbo.DIRPERSONNAME ON dbo.SALESTABLE.WORKERSALESTAKER = dbo.DIRPERSONNAME.RECID INNER JOIN
dbo.ECORESPRODUCT ON dbo.CUSTPACKINGSLIPTRANS.ITEMID = dbo.ECORESPRODUCT.SEARCHNAME
AND dbo.INVENTTABLE.ITEMID = dbo.ECORESPRODUCT.DISPLAYPRODUCTNUMBER LEFT OUTER JOIN
dbo.UNITOFMEASURECONVERSION ON dbo.ECORESPRODUCT.RECID = dbo.UNITOFMEASURECONVERSION.PRODUCT LEFT OUTER JOIN
dbo.UNITOFMEASURE ON dbo.UNITOFMEASURECONVERSION.TOUNITOFMEASURE = dbo.UNITOFMEASURE.RECID INNER JOIN
dbo.DEFAULTDIMENSIONVIEW a ON dbo.CUSTPACKINGSLIPTRANS.DEFAULTDIMENSION = a.DEFAULTDIMENSION AND a.NAME = 'Department' LEFT OUTER JOIN
dbo.DEFAULTDIMENSIONVIEW b ON dbo.INVENTTABLE.DEFAULTDIMENSION = b.DEFAULTDIMENSION AND b.NAME = 'Center' INNER JOIN
dbo.DIMENSIONFINANCIALTAG ON b.ENTITYINSTANCE = dbo.DIMENSIONFINANCIALTAG.RECID
WHERE (dbo.CUSTPACKINGSLIPTRANS.DATAAREAID = 'agl') AND
(dbo.CUSTPACKINGSLIPJOUR.DATAAREAID = 'agl') AND
(dbo.SALESLINE.DATAAREAID = 'agl') AND
(dbo.INVENTTABLE.DATAAREAID = 'vuk') AND
(dbo.INVENTDIM.DATAAREAID = 'agl') AND
(dbo.CUSTTABLE.DATAAREAID = 'agl') AND
(dbo.SALESTABLE.DATAAREAID = 'agl') AND
(CASE WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) <= '3' THEN (YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) - 1)
WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) >= '4' THEN YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) END = 2014)
Hey,
Please forgive me if I'm missing something really obvious but it's been a while since I did any SQL work and I'm obviously a bit rusty.
When the below query is run the CPU on the SQL server maxes out. The query itself takes over 6 hours to run.
Is there anything glaringly obvious with the query that might be causing thisCheers
Paul
SELECT TOP (100) PERCENT dbo.CUSTPACKINGSLIPTRANS.ITEMID AS [Stock Code],
dbo.CUSTPACKINGSLIPTRANS.SALESUNIT AS [Unit of Sale],
dbo.DIMENSIONFINANCIALTAG.DESCRIPTION AS [Product Group],
dbo.INVENTITEMGROUP.ITEMGROUPID AS [Item Group],
dbo.INVENTTABLE.SECTION,
dbo.INVENTTABLE.GROUPS AS [Group],
dbo.INVENTTABLE.SUBGROUPS AS [Sub Group],
dbo.CUSTPACKINGSLIPJOUR.ORDERACCOUNT AS [Cust Account],
dbo.CUSTTABLE.INVOICEACCOUNT AS [Invoice Account],
dbo.DIRPARTYTABLE.NAME AS [Cust Name],
dbo.CUSTTABLE.CURRENCY,
dbo.CUSTTABLE.CIT_CONTROLLER AS [Credit Controller],
dbo.CUSTTABLE.CREDITMAX AS [Credit Limit],
dbo.CUSTTABLE.CUSTCLASSIFICATIONID AS Classification,
dbo.DIRPERSONNAME.FIRSTNAME + ' ' + dbo.DIRPERSONNAME.LASTNAME AS [Sales Person],
dbo.SALESTABLE.SALESGROUP AS [Outside Rooms],
CASE WHEN CUSTTABLE.CUSTCLASSIFICATIONID = 'Cash' THEN dbo.SALESTABLE.SALESGROUP ELSE dbo.CUSTTABLE.SALESGROUP END AS [Sales Rep],
dbo.LOGISTICSPOSTALADDRESS.STATE [Customer Region],
dbo.LOGISTICSPOSTALADDRESS.COUNTY [Customer County],
dbo.CUSTTABLE.LINEOFBUSINESSID AS [Line Of Business],
a.DISPLAYVALUE AS [Site/Location],
dbo.CUSTPACKINGSLIPTRANS.PACKINGSLIPID AS [Delivery Ref],
dbo.LOGISTICSPOSTALADDRESS.COUNTRYREGIONID,
CONVERT(varchar(12), dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE, 111) AS [Delivery Date],
dbo.LOGISTICSPOSTALADDRESS.ADDRESS AS [Delivery Address],
dbo.CUSTPACKINGSLIPTRANS.VALUEMST AS [Delivery Value (CON)],
CONVERT(varchar(12), dbo.SALESTABLE.RECEIPTDATEREQUESTED, 111) AS [Requested Delivery Date],
dbo.SALESTABLE.SALESID AS [Order Ref],
CASE dbo.SALESTABLE.SALESSTATUS WHEN '0' THEN 'None' WHEN '1' THEN 'Open Order' WHEN '2' THEN 'Delivered' WHEN '3' THEN 'Invoiced' WHEN '4' THEN 'Canceled' END AS [Sales Status],
CASE dbo.SALESTABLE.SALESTYPE WHEN '0' THEN 'Journal' WHEN '1' THEN 'Quotation' WHEN '2' THEN 'Subscription' WHEN '3' THEN 'Sales Order' WHEN '4' THEN 'Returned Item' WHEN '5' THEN 'Blanket Order' WHEN '6' THEN 'Item Requirements' WHEN '7' THEN 'Undefined' END AS [Sales Type],
CASE dbo.SALESTABLE.AG_SALESLOCATION WHEN '0' THEN 'None' WHEN '1' THEN 'OR_DGN' WHEN '2' THEN 'OR_FMT' WHEN '3' THEN 'OR_TME' WHEN '4' THEN 'OR_OMA' WHEN '5' THEN 'DSP_DGN' WHEN '6' THEN 'DSP_FMT' WHEN '7' THEN 'DSP_TME' WHEN '8' THEN 'DSP_OMA' WHEN '9' THEN 'DSP_BEL' WHEN '10' THEN 'DSP_CDF' WHEN '11' THEN 'DSP_BGY' WHEN '12' THEN 'Credit Control' WHEN '13' THEN 'Internal Sales' WHEN '14' THEN 'CP_FMT' WHEN '15' THEN 'GBSales' END AS [Sales Location],
dbo.SALESTABLE.PURCHORDERFORMNUM AS [Customer Requisition],
dbo.SALESLINE.LINEDISC AS [Line Disc],
dbo.SALESLINE.LINEPERCENT AS [Line Percent],
dbo.SALESLINE.PRICEGROUPID AS [Price Group],
dbo.INVENTDIM.INVENTLOCATIONID AS Warehouse,
dbo.DIRPARTYTABLE.NAMEALIAS AS [Search Name],
dbo.CUSTPACKINGSLIPJOUR.LORRYID AS [Lorry ID],
dbo.CUSTPACKINGSLIPJOUR.LORRYREGNO AS [Lorry Reg],
dbo.CUSTPACKINGSLIPJOUR.LORRYDRIVER AS [Lorry Driver],
CASE dbo.SALESLINE.BLOCKED WHEN '0' THEN 'No' WHEN '1' THEN 'Yes' END AS [Stopped?],
dbo.CUSTPACKINGSLIPTRANS.QTY AS [Qty Delivered],
dbo.SALESLINE.SALESPRICE AS [Unit Price],
dbo.CUSTPACKINGSLIPJOUR.CREATEDBY AS [SDN Creator],
MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) AS Month,
YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) AS Year,
DATEPART(week, dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) AS WeekNo,
CASE MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) WHEN '1' THEN '10' WHEN '2' THEN '11' WHEN '3' THEN '12' WHEN '4' THEN '1' WHEN '5' THEN '2' WHEN '6' THEN '3' WHEN '7' THEN '4' WHEN '8' THEN '5' WHEN '9' THEN '6' WHEN '10' THEN '7' WHEN '11' THEN '8' WHEN '12' THEN '9' END AS [Fin Period], CASE WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) <= '3' THEN CONVERT(VARCHAR(10), (YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) - 1)) + '/' + CONVERT(VARCHAR(10), YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE)) WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) >= '4' THEN CONVERT(VARCHAR(10), YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE)) + '/' + CONVERT(VARCHAR(10), (YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) + 1)) END AS [Fin Year],
CASE WHEN dbo.custpackingsliptrans.salesunit = '100' THEN dbo.CUSTPACKINGSLIPTRANS.SALESUNIT * dbo.CUSTPACKINGSLIPTRANS.QTY WHEN dbo.custpackingsliptrans.salesunit = '1000' THEN dbo.CUSTPACKINGSLIPTRANS.SALESUNIT * dbo.CUSTPACKINGSLIPTRANS.QTY ELSE dbo.CUSTPACKINGSLIPTRANS.QTY END AS [No of Units],
CASE dbo.INVENTITEMGROUPITEM.ITEMGROUPID WHEN 'Mortar' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Sand' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Decorative Gravel' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Crushed Aggregates' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Lintels' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) / 1000 WHEN 'TBeams' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) / 1000 WHEN 'Aggregates' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) WHEN 'Lime' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY * dbo.UNITOFMEASURECONVERSION.FACTOR) WHEN 'Readymix' THEN (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY) / 1000 ELSE (dbo.INVENTTABLE.NETWEIGHT * dbo.CUSTPACKINGSLIPTRANS.QTY * dbo.UNITOFMEASURECONVERSION.FACTOR) / 1000 END AS Tonnage,
dbo.INVENTTABLE.NETWEIGHT AS [Net Weight],
dbo.INVENTTABLE.PRODCOSTA,
dbo.INVENTTABLE.PRODCOSTB,
dbo.INVENTTABLE.PRODCOSTC,
dbo.INVENTTABLE.PRODCOSTD,
dbo.INVENTTABLE.PRODCOSTE,
dbo.INVENTTABLE.PRODCOSTF,
dbo.INVENTTABLE.PRODCOSTG,
dbo.INVENTTABLE.PRODCOSTH,
dbo.INVENTTABLE.QTYPERBALE,
dbo.INVENTTABLE.M2PERBALE,
dbo.SALESTABLE.SALESTYPE,
dbo.SALESTABLE.DLVMODE AS [Delivery Mode],
CONVERT(varchar(12), dbo.SALESTABLE.SHIPPINGDATECONFIRMED, 111) AS [Shipping Date Confirmed],
CONVERT(varchar(12), dbo.SALESTABLE.CREATEDDATETIME, 111) AS [Created Date],
dbo.SALESLINE.CUSTGROUP AS [Cust Group],
dbo.INVENTTABLE.MADETOORDER AS [Made To Order]
FROM dbo.CUSTPACKINGSLIPTRANS INNER JOIN
dbo.CUSTPACKINGSLIPJOUR ON dbo.CUSTPACKINGSLIPTRANS.PACKINGSLIPID = dbo.CUSTPACKINGSLIPJOUR.PACKINGSLIPID INNER JOIN
dbo.SALESLINE ON dbo.CUSTPACKINGSLIPJOUR.SALESID = dbo.SALESLINE.SALESID AND
dbo.CUSTPACKINGSLIPTRANS.INVENTTRANSID = dbo.SALESLINE.INVENTTRANSID INNER JOIN
dbo.INVENTTABLE ON dbo.CUSTPACKINGSLIPTRANS.ITEMID = dbo.INVENTTABLE.ITEMID INNER JOIN
dbo.INVENTITEMGROUPITEM ON dbo.INVENTTABLE.ITEMID = dbo.INVENTITEMGROUPITEM.ITEMID INNER JOIN
dbo.INVENTITEMGROUP ON dbo.INVENTITEMGROUPITEM.ITEMGROUPID = dbo.INVENTITEMGROUP.ITEMGROUPID INNER JOIN
dbo.INVENTDIM ON dbo.SALESLINE.INVENTDIMID = dbo.INVENTDIM.INVENTDIMID INNER JOIN
dbo.CUSTTABLE ON dbo.CUSTPACKINGSLIPJOUR.ORDERACCOUNT = dbo.CUSTTABLE.ACCOUNTNUM INNER JOIN
dbo.DIRPARTYTABLE ON dbo.CUSTTABLE.PARTY = dbo.DIRPARTYTABLE.RECID INNER JOIN
dbo.LOGISTICSPOSTALADDRESS ON dbo.DIRPARTYTABLE.PRIMARYADDRESSLOCATION = dbo.LOGISTICSPOSTALADDRESS.LOCATION INNER JOIN
dbo.SALESTABLE ON dbo.SALESLINE.SALESID = dbo.SALESTABLE.SALESID INNER JOIN
dbo.DIRPERSONNAME ON dbo.SALESTABLE.WORKERSALESTAKER = dbo.DIRPERSONNAME.RECID INNER JOIN
dbo.ECORESPRODUCT ON dbo.CUSTPACKINGSLIPTRANS.ITEMID = dbo.ECORESPRODUCT.SEARCHNAME
AND dbo.INVENTTABLE.ITEMID = dbo.ECORESPRODUCT.DISPLAYPRODUCTNUMBER LEFT OUTER JOIN
dbo.UNITOFMEASURECONVERSION ON dbo.ECORESPRODUCT.RECID = dbo.UNITOFMEASURECONVERSION.PRODUCT LEFT OUTER JOIN
dbo.UNITOFMEASURE ON dbo.UNITOFMEASURECONVERSION.TOUNITOFMEASURE = dbo.UNITOFMEASURE.RECID INNER JOIN
dbo.DEFAULTDIMENSIONVIEW a ON dbo.CUSTPACKINGSLIPTRANS.DEFAULTDIMENSION = a.DEFAULTDIMENSION AND a.NAME = 'Department' LEFT OUTER JOIN
dbo.DEFAULTDIMENSIONVIEW b ON dbo.INVENTTABLE.DEFAULTDIMENSION = b.DEFAULTDIMENSION AND b.NAME = 'Center' INNER JOIN
dbo.DIMENSIONFINANCIALTAG ON b.ENTITYINSTANCE = dbo.DIMENSIONFINANCIALTAG.RECID
WHERE (dbo.CUSTPACKINGSLIPTRANS.DATAAREAID = 'agl') AND
(dbo.CUSTPACKINGSLIPJOUR.DATAAREAID = 'agl') AND
(dbo.SALESLINE.DATAAREAID = 'agl') AND
(dbo.INVENTTABLE.DATAAREAID = 'vuk') AND
(dbo.INVENTDIM.DATAAREAID = 'agl') AND
(dbo.CUSTTABLE.DATAAREAID = 'agl') AND
(dbo.SALESTABLE.DATAAREAID = 'agl') AND
(CASE WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) <= '3' THEN (YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) - 1)
WHEN MONTH(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) >= '4' THEN YEAR(dbo.CUSTPACKINGSLIPTRANS.DELIVERYDATE) END = 2014)
Try to minimize joins using intermediary tables, also you can consider limiting data based on date ranges and codes (DATAAREAID) before joining with other tables.
Similar Messages
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Hi All,
I worked on the query a month ago and the fix worked for me in test intance but failed in production. Following is the URL for the previous thread.
SQL query performance issues.
Following is the tkprof file.
CURSOR_ID:76 LENGTH:2383 ADDRESS:f6b40ab0 HASH_VALUE:2459471753 OPTIMIZER_GOAL:ALL_ROWS USER_ID:443 (APPS)
insert into cos_temp(
TRX_DATE, DEPT, PRODUCT_LINE, PART_NUMBER,
CUSTOMER_NUMBER, QUANTITY_SOLD, ORDER_NUMBER,
INVOICE_NUMBER, EXT_SALES, EXT_COS,
GROSS_PROFIT, ACCT_DATE,
SHIPMENT_TYPE,
FROM_ORGANIZATION_ID,
FROM_ORGANIZATION_CODE)
select a.trx_date,
g.segment5 dept,
g.segment4 prd,
m.segment1 part,
d.customer_number customer,
b.quantity_invoiced units,
-- substr(a.sales_order,1,6) order#,
substr(ltrim(b.interface_line_attribute1),1,10) order#,
a.trx_number invoice,
(b.quantity_invoiced * b.unit_selling_price) sales,
(b.quantity_invoiced * nvl(price.operand,0)) cos,
(b.quantity_invoiced * b.unit_selling_price) -
(b.quantity_invoiced * nvl(price.operand,0)) profit,
to_char(to_date('2010/02/28 00:00:00','yyyy/mm/dd HH24:MI:SS'),'DD-MON-RR') acct_date,
'DRP',
l.ship_from_org_id,
p.organization_code
from ra_customers d,
gl_code_combinations g,
mtl_system_items m,
ra_cust_trx_line_gl_dist c,
ra_customer_trx_lines b,
ra_customer_trx_all a,
apps.oe_order_lines l,
apps.HR_ORGANIZATION_INFORMATION i,
apps.MTL_INTERCOMPANY_PARAMETERS inter,
apps.HZ_CUST_SITE_USES_ALL site,
apps.qp_list_lines_v price,
apps.mtl_parameters p
where a.trx_date between to_date('2010/02/01 00:00:00','yyyy/mm/dd HH24:MI:SS')
and to_date('2010/02/28 00:00:00','yyyy/mm/dd HH24:MI:SS')+0.9999
and a.batch_source_id = 1001 -- Sales order shipped other OU
and a.complete_flag = 'Y'
and a.customer_trx_id = b.customer_trx_id
and b.customer_trx_line_id = c.customer_trx_line_id
and a.sold_to_customer_id = d.customer_id
and b.inventory_item_id = m.inventory_item_id
and m.organization_id
= decode(substr(g.segment4,1,2),'01',5004,'03',5004,
'02',5003,'00',5001,5002)
and nvl(m.item_type,'0') <> '111'
and c.code_combination_id = g.code_combination_id+0
and l.line_id = b.interface_line_attribute6
and i.organization_id = l.ship_from_org_id
and p.organization_id = l.ship_from_org_id
and i.org_information3 <> '5108'
and inter.ship_organization_id = i.org_information3
and inter.sell_organization_id = '5108'
and inter.customer_site_id = site.site_use_id
and site.price_list_id = price.list_header_id
and product_attr_value = to_char(m.inventory_item_id)
call count cpu elapsed disk query current rows misses
Parse 1 0.47 0.56 11 197 0 0 1
Execute 1 3733.40 3739.40 34893 519962154 11 188 0
total 2 3733.87 3739.97 34904 519962351 11 188 1
| Rows Row Source Operation
| ------------ ---------------------------------------------------
| 188 HASH JOIN (cr=519962149 pr=34889 pw=0 time=2607.35)
| 741 .TABLE ACCESS BY INDEX ROWID QP_PRICING_ATTRIBUTES (cr=519939426 pr=34889 pw=0 time=2457.32)
| 254644500 ..NESTED LOOPS (cr=519939265 pr=34777 pw=0 time=3819.67)
| 254643758 ...NESTED LOOPS (cr=8921833 pr=29939 pw=0 time=1274.41)
| 741 ....NESTED LOOPS (cr=50042 pr=7230 pw=0 time=11.37)
| 741 .....NESTED LOOPS (cr=48558 pr=7229 pw=0 time=11.35)
| 741 ......NESTED LOOPS (cr=47815 pr=7223 pw=0 time=11.32)
| 3237 .......NESTED LOOPS (cr=41339 pr=7223 pw=0 time=12.42)
| 3237 ........NESTED LOOPS (cr=38100 pr=7223 pw=0 time=12.39)
| 3237 .........NESTED LOOPS (cr=28296 pr=7139 pw=0 time=12.29)
| 1027 ..........NESTED LOOPS (cr=17656 pr=4471 pw=0 time=3.81)
| 1027 ...........NESTED LOOPS (cr=13537 pr=4404 pw=0 time=3.30)
| 486 ............NESTED LOOPS (cr=10873 pr=4240 pw=0 time=0.04)
| 486 .............NESTED LOOPS (cr=10385 pr=4240 pw=0 time=0.03)
| 486 ..............TABLE ACCESS BY INDEX ROWID RA_CUSTOMER_TRX_ALL (cr=9411 pr=4240 pw=0 time=0.02)
| 75253 ...............INDEX RANGE SCAN RA_CUSTOMER_TRX_N5 (cr=403 pr=285 pw=0 time=0.38)
| 486 ..............TABLE ACCESS BY INDEX ROWID HZ_CUST_ACCOUNTS (cr=974 pr=0 pw=0 time=0.01)
| 486 ...............INDEX UNIQUE SCAN HZ_CUST_ACCOUNTS_U1 (cr=488 pr=0 pw=0 time=0.01)
| 486 .............INDEX UNIQUE SCAN HZ_PARTIES_U1 (cr=488 pr=0 pw=0 time=0.01)
| 1027 ............TABLE ACCESS BY INDEX ROWID RA_CUSTOMER_TRX_LINES_ALL (cr=2664 pr=164 pw=0 time=1.95)
| 2063 .............INDEX RANGE SCAN RA_CUSTOMER_TRX_LINES_N2 (cr=1474 pr=28 pw=0 time=0.22)
| 1027 ...........TABLE ACCESS BY INDEX ROWID RA_CUST_TRX_LINE_GL_DIST_ALL (cr=4119 pr=67 pw=0 time=0.54)
| 1027 ............INDEX RANGE SCAN RA_CUST_TRX_LINE_GL_DIST_N1 (cr=3092 pr=31 pw=0 time=0.20)
| 3237 ..........TABLE ACCESS BY INDEX ROWID MTL_SYSTEM_ITEMS_B (cr=10640 pr=2668 pw=0 time=15.35)
| 3237 ...........INDEX RANGE SCAN MTL_SYSTEM_ITEMS_B_U1 (cr=2062 pr=40 pw=0 time=0.33)
| 3237 .........TABLE ACCESS BY INDEX ROWID OE_ORDER_LINES_ALL (cr=9804 pr=84 pw=0 time=0.77)
| 3237 ..........INDEX UNIQUE SCAN OE_ORDER_LINES_U1 (cr=6476 pr=47 pw=0 time=0.43)
| 3237 ........TABLE ACCESS BY INDEX ROWID MTL_PARAMETERS (cr=3239 pr=0 pw=0 time=0.04)
| 3237 .........INDEX UNIQUE SCAN MTL_PARAMETERS_U1 (cr=2 pr=0 pw=0 time=0.01)
| 741 .......TABLE ACCESS BY INDEX ROWID HR_ORGANIZATION_INFORMATION (cr=6476 pr=0 pw=0 time=0.10)
| 6474 ........INDEX RANGE SCAN HR_ORGANIZATION_INFORMATIO_FK2 (cr=3239 pr=0 pw=0 time=0.03)Please help.
Regards
Ashish| 254644500 ..NESTED LOOPS (cr=519939265 pr=34777 pw=0 time=3819.67)
| 254643758 ...NESTED LOOPS (cr=8921833 pr=29939 pw=0 time=1274.41)There is no way the optimizer should choose to process that many rows using nested loops.
Either the statistics are not up to date, the data values are skewed or you have some optimizer parameter set to none default to force index access.
Please post explain plan and optimizer* parameter settings. -
Required info on SQL Server Performance Issue Analysis and Troubleshoot way
Dear All,
I am going to prepare the simple documentation steps on SQL Server Performance Issue Analysis and troubleshoot method. I am struggling to make this documentation since we have different checklist (like network latency,disk latency, memory/processor pressure,SQL
query tuning etc) to validate once application performance issue reported from the customer.So, I am looking for the experts document or link sharing .
Your input will help for document preparation in better way.
Thanks in advance.Hi,
Recommendations and Guidelines on configuring disk partitions for SQL Server
http://support.microsoft.com/kb/2023571
Disk and File Layout for SQL Server
https://blogs.technet.com/b/dataplatforminsider/archive/2012/12/19/disk-and-file-layout-for-sql-server.aspx
Microsoft SQL Server 2012 Performance Tuning: Implementing Physical Database Structure
http://www.packtpub.com/article/sql-server-2012-implementing-physical-database-strusture
Database Mirroring Best Practices and Performance Considerations
http://technet.microsoft.com/en-us/library/cc917681.aspx
Hope the information helps.
Tracy Cai
TechNet Community Support -
Hi Gurus,
I m woking on performance tuning at the moment and wants some tips
regarding the Query performance tuning,if anyone can helpme in that
rfrence.
the thing is that i have got an idea about the system and now the
issues r with DB space, Abap Dumps, problem in free space in table
space, no number range buffering,cubes r using too many aggrigates,
large IC,Large ODS, and many others.
So my questionis that is anyone can tell me that how to resolve the
issues with the Large master data tables,and large ODS,and one more
importnat issue is KPI´s exceding there refrence valuses so any idea
how to deal with them.
waiting for the valuable responces.
thanks In advance
Redards
AmitHi Amit
For Query performance issue u can go for :-
Aggregates : They will help u a lot to make ur query faster becuase query doesnt hits ur cube it hits the aggregates which has very less number of records in comp to ur cube
secondly i wud suggest u is use CKF in place of formulaes if any in the query
other thing is avoid upto the extent possible the use fo nav attr . if u want to use them use it upto the minimal level reason i am saying so is during the query exec whn ever there is nav attr it provides unncessary join to ur MD and thus dec query perfo
be specifc to rows and columns if u r not sure of a kf or a char then better put it in a free char.
use filters if possible
if u follow these m sure ur query perfo will inc
Assign points if applicable
Thanks
puneet -
How does Index fragmentation and statistics affect the sql query performance
Hi,
How does Index fragmentation and statistics affect the sql query performance
Thanks
Shashikala
ShashikalaHow does Index fragmentation and statistics affect the sql query performance
Very simple answer, outdated statistics will lead optimizer to create bad plans which in turn will require more resources and this will impact performance. If index is fragmented ( mainly clustered index,holds true for Non clustred as well) time spent in finding
the value will be more as query would have to search fragmented index to look for data, additional spaces will increase search time.
Please mark this reply as the answer or vote as helpful, as appropriate, to make it useful for other readers
My TechNet Wiki Articles -
SQL query (pl/sql function body returning query) performance issue
I create my report in building my sql instruction with ( SQL Query pl/sql function body returning sql query );
My report take more than 20 seconds however if i did a cut and paste with the sql code in TOAD the same sql take 1 second.
To try to discover the source of the problem; i take the sql generated by the function and i create another report ( sql query ) this new report take 2 seconds.
My query is very big 25,000 characters with database link.
What is the difference between SQL-quey and sql-query(pl/sql function body returning sql query)
Thanks
MarcMarc,
Firstly...don't compare the timings from Toad, since often Toad only fetches the first few records for you (i.e. it pages them).
Secondly....the database link could be a factor here, but without seeing your query it's too hard to say.
Can you post the query somewhere (on a webserver say)? -
Hi All,
I am getting performance issue with my below sql query. When I fired it, It is taking 823.438 seconds, but when I ran query in, it is taking 8.578 seconds, and query after in is taking 7.579 seconds.
SELECT BAL.L_ID, BAL.L_TYPE, BAL.L_NAME, BAL.NATURAL_ACCOUNT,
BAL.LOCATION, BAL.PRODUCT, BAL.INTERCOMPANY, BAL.FUTURE1, BAL.FUTURE2, BAL.CURRENCY, BAL.AMOUNT_PTD, BAL.AMOUNT_YTD, BAL.CREATION_DATE,
BAL.CREATED_BY, BAL.LAST_UPDATE_DATE, BAL.LAST_UPDATED_BY, BAL.STATUS, BAL.ANET_STATUS, BAL.COG_STATUS, BAL.comb_id, BAL.MESSAGE,
SEG.SEGMENT_DESCRIPTION FROM ACC_SEGMENTS_V_TST SEG , ACC_BALANCE_STG BAL where BAL.NATURAL_ACCOUNT = SEG.SEGMENT_VALUE AND SEG.SEGMENT_COLUMN = 'SEGMENT99' AND BAL.ACCOUNTING_PERIOD = 'MAY-10' and BAL.comb_id
in
(select comb_id from
(select comb_id, rownum r from
(select distinct(comb_id),LAST_UPDATE_DATE from ACC_BALANCE_STG where accounting_period='MAY-10' order by LAST_UPDATE_DATE )
where rownum <=100) where r >0)
Please help me in fine tuning above. I am using Oracle 10g database. There are total of 8000 records. Let me know if any other info required.
Thanks in advance.In recent versions of Oracle an EXISTS predicate should produce the same execution plan as the corresponding IN clause.
Follow the advice in the tuning threads as suggested by SomeoneElse.
It looks to me like you could avoid the double pass on ACC_BALANCE_STG by using an analytical function like ROW_NUMBER() and then joining to ACC_SEGMENTS_V_TST SEG, maybe using subquery refactoring to make it look nicer.
e.g. something like (untested)
WITH subq_bal as
((SELECT *
FROM (SELECT BAL.L_ID, BAL.L_TYPE, BAL.L_NAME, BAL.NATURAL_ACCOUNT,
BAL.LOCATION, BAL.PRODUCT, BAL.INTERCOMPANY, BAL.FUTURE1, BAL.FUTURE2,
BAL.CURRENCY, BAL.AMOUNT_PTD, BAL.AMOUNT_YTD, BAL.CREATION_DATE,
BAL.CREATED_BY, BAL.LAST_UPDATE_DATE, BAL.LAST_UPDATED_BY, BAL.STATUS, BAL.ANET_STATUS,
BAL.COG_STATUS, BAL.comb_id, BAL.MESSAGE,
ROW_NUMBER() OVER (ORDER BY LAST_UPDATE_DATE) rn
FROM acc_balance_stg
WHERE accounting_period='MAY-10')
WHERE rn <= 100)
SELECT *
FROM subq_bal bal
, acc_Segments_v_tst seg
where BAL.NATURAL_ACCOUNT = SEG.SEGMENT_VALUE
AND SEG.SEGMENT_COLUMN = 'SEGMENT99';However, the parentheses you use around comb_id make me question what your intention is here in the subquery?
Do you have multiple rows in ACC_BALANCE_STG for the same comb_id and last_update_date?
If so you may want to do a MAX on last_update_date, group by comb_id before doing the analytic restriction.
Edited by: DomBrooks on Jun 16, 2010 5:56 PM -
Hi,
Facing Database performance issue while runing overnight batches.
Generate tfprof output for that batch and found some sql query which is having high elapsed time. Could any one please let me know what is the issue for this. It will also be great help if anyone suggest what need to be done as per tuning of this sql queries so as to get better responce time.
Waiting for your reply.
Effected SQL List:
INSERT INTO INVTRNEE (TRANS_SESSION, TRANS_SEQUENCE, TRANS_ORG_CHILD,
TRANS_PRD_CHILD, TRANS_TRN_CODE, TRANS_TYPE_CODE, TRANS_DATE, INV_MRPT_CODE,
INV_DRPT_CODE, TRANS_CURR_CODE, PROC_SOURCE, TRANS_REF, TRANS_REF2,
TRANS_QTY, TRANS_RETL, TRANS_COST, TRANS_VAT, TRANS_POS_EXT_TOTAL,
INNER_PK_TECH_KEY, TRANS_INNERS, TRANS_EACHES, TRANS_UOM, TRANS_WEIGHT,
TRANS_WEIGHT_UOM )
VALUES
(:B22 , :B1 , :B2 , :B3 , :B4 , :B5 , :B21 , :B6 , :B7 , :B8 , :B20 , :B19 ,
NULL, :B9 , :B10 , :B11 , 0.0, :B12 , :B13 , :B14 , :B15 , :B16 , :B17 ,
:B18 )
call count cpu elapsed disk query current rows
Parse 722 0.09 0.04 0 0 0 0
Execute 1060 7.96 83.01 11442 21598 88401 149973
Fetch 0 0.00 0.00 0 0 0 0
total 1782 8.05 83.06 11442 21598 88401 149973
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
UPDATE /*+ ROWID(TRFDTLEE) */TRFDTLEE SET TRF_STATUS = :B2
WHERE
ROWID = :B1
call count cpu elapsed disk query current rows
Parse 635 0.03 0.01 0 0 0 0
Execute 49902 14.48 271.25 41803 80704 355837 49902
Fetch 0 0.00 0.00 0 0 0 0
total 50537 14.51 271.27 41803 80704 355837 49902
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
DECLARE
var_trans_session invtrnee.trans_session%TYPE;
BEGIN
-- ADDED BY SHANKAR ON 08/29/97
-- GET THE NEXT AVAILABLE TRANS_SESSION
bastkey('trans_session',0,var_trans_session,'T');
-- MAS001
uk_trfbapuo_auto(var_trans_session,'UPLOAD','T',300);
-- MAS001 end
END;
call count cpu elapsed disk query current rows
Parse 0 0.00 0.00 0 0 0 0
Execute 1 24191.23 24028.57 8172196 10533885 187888 1
Fetch 0 0.00 0.00 0 0 0 0
total 1 24191.23 24028.57 8172196 10533885 187888 1
Misses in library cache during parse: 0
Misses in library cache during execute: 1
Optimizer goal: CHOOSE
SELECT INNER_PK_TECH_KEY
FROM
PRDPCDEE WHERE PRD_LVL_CHILD = :B1 AND LOOSE_PACK_FLAG = 'T'
call count cpu elapsed disk query current rows
Parse 1 0.01 0.00 0 0 0 0
Execute 56081 1.90 2.03 0 0 0 0
Fetch 56081 11.07 458.58 53792 246017 0 56081
total 112163 12.98 460.61 53792 246017 0 56081
Misses in library cache during parse: 1
Optimizer goal: CHOOSE
******************First off, be aware of the assumptions I'm making. The SQL you presented above strongly suggests (to me at least) that you have cursor for loops. If that's the case, you need to review what their purpose is and look to convert them into single statement DML commands. For example if you have something like this
DECLARE
ln_Count NUMBER;
ln_SomeValue NUMBER;
BEGIN
FOR lcr_Row IN ( SELECT pk_id,col1,col2 FROM some_table)
LOOP
SELECT
COUNT(*)
INTO
ln_COunt
FROM
target_table
WHERE
pk_id = lcr_Row.pk_id;
IF ln_Count = 0 THEN
SELECT
some_value
INTO
ln_SomeValue
FROM
some_other_table
WHERE
pk_id = lcr_Row.col1
INSERT
INTO
target_table
( pk_id,
some_other_value,
col2
VALUES
( lcr_Row.col1,
ln_SomeValue,
lcr_Row.col2
ELSE
UPDATE
target_table
SET
some_other_value = ln_SomeValue
WHERE
pk_id = lcr_Row.col1;
END IF;
END LOOP;
END; it could be rewritten as
DECLARE
BEGIN
MERGE INTO target_table b
USING ( SELECT
a.pk_id,
a.col2,
b.some_value
FROM
some_table a,
some_other_table b
WHERE
b.pk_id = a.col1
) e
ON (b.pk_id = e.pk_id)
WHEN MATCHED THEN
UPDATE SET b.some_other_value = e.some_value
WHEN NOT MATCHED THEN
INSERT ( b.pk_id,
b.col2,
b.some_other_value)
VALUES( b.pk_id,
b.col2,
b.some_value);
END;It's going to take a bit of analysis and work but the fastest and most scalable way to approach processing data is to use SQL rather than PL/SQL. PL/SQL data processing i.e. cursor loops should be an option of last resort.
HTH
David -
Oracle Forms6i Query Performance issue - Urgent
Hi All,
I'm using oracle forms6i and Oracle DB 9i.
I'm facing the performance issue in query forms.
In detail block form taking long time to load the data.
Form contains 2 non data blocks
1.HDR - 3 input parameters
2.DETAILS - Grid - Details
HDR input fields
1.Company Code
2.Company ACccount No
3.Customer Name
Details Grid is displayed the details.
Here there are 2 tables involved
1.Table1 - 1 crore records
2.Table2 - 4 crore records
In form procedure one cursor bulid and fetch is done directly and assign the values to form block fields.
Below i've pasted the query
SELECT
t1.entry_dt,
t2.authoriser_code,
t1.company_code,
t1.company_ac_no
initcap(t1.customer_name) cust_name,
t2.agreement_no
t1.customer_id
FROM
table1 t1,
table2 t2
WHERE
(t2.trans_no = t1.trans_no or t2.temp_trans_no = t1.trans_no)
AND t1.company_code = nvl(:hdr.l_company_code,t1.company_code)
AND t1.company_ac_no = nvl(:hdr.l_company_ac_no,t1.company_ac_no)
AND lower(t1.customer_name) LIKE lower(nvl('%'||:hdr.l_customer_name||'%' ,t1.customer_name))
GROUP BY
t2.authoriser_code,
t1.company_code,
t1.company_ac_no,
t1.customer_name,
t2.agreement_no,
t1.customer_id;
Where Clause Analysis
1.Condition 1 OR operator (In table2 two different columbs are compared with one column in table)
2.Like Operator
3.All the columns has index but not used properly always full table scan
4.NVL chk
5.If i run the qry in backend means coming little fast,front end very slow
Input Parameter - Query retrival data - limit
Only compnay code means record count will be 50 - 500 records -
Only compnay code and comp ac number means record count will be 1-5
Only compnay code,omp ac number and customer name means record count will be 1 - 5 records
I have tried following ways
1.Split the query using UNIOIN (OR clause seaparted) - Nested loops COST 850 , Nested loops COST 750 - index by row id - cost is 160 ,index by row id - cost is 152 full table access.................................
2.Dynamic SQL build - 'DBMS_SQL.DEFINE COLUMN .....
3.Given onlu one input parameter - Nested loops COST 780 , Nested loops COST 780 - index by row id - cost is 148 ,index by row id - cost is 152 full table access.................................
Still im facing the same issue.
Please help me out on this.
Thanks and Regards,
Oracle1001Sudhakar P wrote:
the below query its take more than one minute while updating the records through pro*c.
Execute 562238 161.03 174.15 7 3932677 2274833 562238Hi Sudhakar,
If the database is capable of executing 562,238 update statements in one minute, then that's pretty good, don't you think.
Your real problem is in the application code which probably looks something like this in pseudocode:
for i in (some set containing 562,238 rows)
loop
<your update statement with all the bind variables>
end loop;If you transform your code to do a single update statement, you'll gain a lot of seconds.
Regards,
Rob. -
I am trying to see the log file in Manage sessions for the sql query in Answers. I see that if we run the same report multiple times, the sql query is showing up only the first time. Second time if I run it is not showing up. If I do a brand new report with diff columns picked it is giving me the sql then. Where do I set this option to show the sql query everytime I run a report even if it is the same report run multiple times. Is this caching issue?
It shouldn't.... Have you unchecked the "Cache" on the physical layer for this table? If you go onto the Advanced tab, is the option "Bypass the Oracle BI cache" checked?
-
Hi There,
We have a sql query that runs between 2 databases on the same machine, the sql takes about 2 mins and returns about 6400 rows. When the process started running we used to see results in about 13 secs, now it's taking almost 2 mins for the same data set. We have updated the stats (table and index) but to no use. I've been trying to get the execution plan to see if there is anything abnormal going on but as the core of the sql is done remotely, we haven't been able to get much out of it.
Here is the sql:
SELECT
--/*+ DRIVING_SITE(var) ALL_ROWS */
ventity_id, ar_action_performed, action_date,
'ventity_ar' ar_tab
FROM (SELECT var.ventity_id, var.ar_action_performed, var.action_date,
var.familyname_id, var.status, var.isprotected,
var.dateofbirth, var.gender, var.sindigits,
LAG (var.familyname_id) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_familyname_id,
LAG (var.status) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_status,
LAG (var.isprotected) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_isprotected,
LAG (var.dateofbirth) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_dateofbirth,
LAG (var.gender) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_gender,
LAG (var.sindigits) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_sindigits
FROM cpp_schema.ventity_ar@CdpP var,
-- reduce the set to ventity_id that had a change within the time frame,
-- and filter out RETRIEVEs as they do not signal change
(SELECT DISTINCT ventity_id
FROM cpp_schema.ventity_ar@CdpP
WHERE action_date BETWEEN '01-MAR-10' AND '10-APR-10'
AND ar_action_performed <> 'RTRV') m
WHERE var.action_date <= '10-APR-10'
AND var.ventity_id = m.ventity_id
AND var.ar_action_performed <> 'RTRV') mm
WHERE action_date BETWEEN '01-MAR-10' AND '10-APR-10'
-- most of the columns from the data table allow nulls
AND ( (NVL (familyname_id, 0) <> NVL (lag_familyname_id, 0))
OR (NVL (status, 'x') <> NVL (lag_status, 'x'))
OR (NVL (isprotected, 2) <> NVL (lag_isprotected, 2))
OR (NVL (dateofbirth, TO_DATE ('15000101', 'yyyymmdd')) <>
NVL (lag_dateofbirth, TO_DATE ('15000101', 'yyyymmdd'))
OR (NVL (gender, 'x') <> NVL (lag_gender, 'x'))
OR (NVL (sindigits, 'x') <> NVL (lag_sindigits, 'x'))
ORDER BY ventity_id, action_date DESC
6401 rows selected.
Elapsed: 00:01:47.03
Execution Plan
Plan hash value: 3953446945
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time | Inst |IN-OUT|
| 0 | SELECT STATEMENT | | 12M| 1575M| | 661K (1)| 02:12:22 | | |
| 1 | SORT ORDER BY | | 12M| 1575M| 2041M| 661K (1)| 02:12:22 | | |
|* 2 | VIEW | | 12M| 1575M| | 291K (2)| 00:58:13 | | |
| 3 | REMOTE | | | | | | | CCP01 | R->S |
2 - filter("action_date">='01_MAR-10' AND "action_date"<='10-APR-10' AND
(NVL("FAMILYNAME_id",0)<>NVL("LAG_FAMILYNAME_id",0) OR
NVL("STATUS",'x')<>NVL("LAG_STATUS",'x') OR NVL("ISPROTECTED",2)<>NVL("LAG_ISPROTECTED",2
) OR NVL("DATEOFBIRTH",TO_DATE(' 1500-01-01 00:00:00', 'syyyy-mm-dd
hh24:mi:ss'))<>NVL("LAG_DATEOFBIRTH",TO_DATE(' 1500-01-01 00:00:00', 'syyyy-mm-dd
hh24:mi:ss')) OR NVL("GENDER",'x')<>NVL("LAG_GENDER",'x') OR
NVL("SINDIGITS",'x')<>NVL("LAG_SINDIGITS",'x')))
Remote SQL Information (identified by operation id):
3 - EXPLAIN PLAN SET STATEMENT_ID='PLUS4294967295' INTO PLAN_TABLE@! FOR SELECT
"A2"."ventity_id","A2"."AR_ACTION_PERFORMED","A2"."action_date","A2"."FAMILYNAME_id","A2"
."STATUS","A2"."ISPROTECTED","A2"."DATEOFBIRTH","A2"."GENDER","A2"."SINDIGITS",DECODE(COU
NT(*) OVER ( PARTITION BY "A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1
PRECEDING AND 1 PRECEDING ),1,FIRST_VALUE("A2"."FAMILYNAME_id") OVER ( PARTITION BY
"A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING
),NULL),DECODE(COUNT(*) OVER ( PARTITION BY "A2"."ventity_id" ORDER BY
"A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING ),1,FIRST_VALUE("A2"."STATUS")
OVER ( PARTITION BY "A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1
PRECEDING AND 1 PRECEDING ),NULL),DECODE(COUNT(*) OVER ( PARTITION BY
"A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING
),1,FIRST_VALUE("A2"."ISPROTECTED") OVER ( PARTITION BY "A2"."ventity_id" ORDER BY
"A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING ),NULL),DECODE(COUNT(*) OVER (
PARTITION BY "A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1 PRECEDING
AND 1 PRECEDING ),1,FIRST_VALUE("A2"."DATEOFBIRTH") OVER ( PARTITION BY
"A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING
),NULL),DECODE(COUNT(*) OVER ( PARTITION BY "A2"."ventity_id" ORDER BY
"A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING ),1,FIRST_VALUE("A2"."GENDER")
OVER ( PARTITION BY "A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1
PRECEDING AND 1 PRECEDING ),NULL),DECODE(COUNT(*) OVER ( PARTITION BY
"A2"."ventity_id" ORDER BY "A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING
),1,FIRST_VALUE("A2"."SINDIGITS") OVER ( PARTITION BY "A2"."ventity_id" ORDER BY
"A2"."action_date" ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING ),NULL) FROM
"CPP_SCHEMA"."ventity_AR" "A2", (SELECT DISTINCT "A3"."ventity_id"
"ventity_id" FROM "CPP_SCHEMA"."ventity_AR" "A3" WHERE
"A3"."action_date">='01_MAR-10' AND "A3"."action_date"<='10-APR-10' AND
"A3"."AR_ACTION_PERFORMED"<>'RETRIEVE' AND TO_DATE('01_MAR-10')<=TO_DATE('10-APR-10'))
"A1" WHERE "A2"."action_date"<='10-APR-10' AND "A2"."ventity_id"="A1"."ventity_id"
AND "A2"."AR_ACTION_PERFORMED"<>'RETRIEVE' (accessing 'EBCP01.EBC.GOV.BC.CA' )Your advise and/or help is highly appreciated.
THanks
Edited by: rsar001 on Apr 20, 2010 6:57 AMMaybe I'm missing something but this subquery seems inefficient:
SELECT var.ventity_id, var.ar_action_performed, var.action_date,
var.familyname_id, var.status, var.isprotected,
var.dateofbirth, var.gender, var.sindigits,
LAG (var.familyname_id) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_familyname_id,
LAG (var.status) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_status,
LAG (var.isprotected) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_isprotected,
LAG (var.dateofbirth) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_dateofbirth,
LAG (var.gender) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_gender,
LAG (var.sindigits) OVER (PARTITION BY var.ventity_id ORDER BY action_date)
lag_sindigits
FROM cpp_schema.ventity_ar@CdpP var,
-- reduce the set to ventity_id that had a change within the time frame,
-- and filter out RETRIEVEs as they do not signal change
(SELECT DISTINCT ventity_id
FROM cpp_schema.ventity_ar@CdpP
WHERE action_date BETWEEN '01-MAR-10' AND '10-APR-10'
AND ar_action_performed <> 'RTRV') m
WHERE var.action_date <= '10-APR-10'
AND var.ventity_id = m.ventity_id
AND var.ar_action_performed != 'RTRV'I don't think accessing the VENTITY_AR table twice is helping you here. The comments looks like you want to restrict the set of VENTITY_IDs but if you look at the plan it is not happening. The plan is reading them from the index and joining against the full VENTITY_AR table anyways. I recommend you consolidate it into something like this:
SELECT var.ventity_id
, var.ar_action_performed
, var.action_date
, var.familyname_id
, var.status
, var.isprotected
, var.dateofbirth
, var.gender
, var.sindigits
, LAG (var.familyname_id) OVER (PARTITION BY var.ventity_id ORDER BY action_date) AS lag_familyname_id
, LAG (var.status) OVER (PARTITION BY var.ventity_id ORDER BY action_date) AS lag_status
, LAG (var.isprotected) OVER (PARTITION BY var.ventity_id ORDER BY action_date) AS lag_isprotected
, LAG (var.dateofbirth) OVER (PARTITION BY var.ventity_id ORDER BY action_date) AS lag_dateofbirth
, LAG (var.gender) OVER (PARTITION BY var.ventity_id ORDER BY action_date) AS lag_gender
, LAG (var.sindigits) OVER (PARTITION BY var.ventity_id ORDER BY action_date) AS lag_sindigits
FROM cpp_schema.ventity_ar@CdpP var
WHERE var.action_date BETWEEN TO_DATE('01-MAR-10','DD-MON-YY') AND TO_DATE('10-APR-10','DD-MON-YY')
AND var.ar_action_performed != 'RTRV'It may then be useful to put an index on (ACTION_DATE,AR_ACTION_PERFORMED) if one doesn't already exist.
*::EDIT::*
I noticed the large amount of NVL calls in your outer query. These NVLs could possibly be eliminated if you use the optional second and third arguments of the LAG analytical function. I'm not sure if this would improve performance but it may make the query more readable and maintainable.
HTH!
Edited by: Centinul on Apr 20, 2010 10:50 AM -
Query Performance Issue based on the same Multiprovider
Hi All,
I am facing a performance issue with one of the BEx Query 1 based on a particular Multiprovider.
I have done all the kind of testing and came o a conclusion that the OLAP: Data Transfer time for the query is the max at around 820 Secs.
The surprising part is another Query 2 based on the same multiprovider runs absolutely fine without any hassles with OLAP : Data Transfer time with merely 3 Sec.
Another, surprise is that Query 2 has even more Restricted Key Figures and Calculated Key Figures but it runs smoothly.
Both the queries use cache memory.
Please suggest a solution to this.
Thanks.Hi Rupesh,
There is no much difference between the 2 queries.
Query 1 - which has performance issue has the same filters as that of Query 2 - which is working fine.
The only difference is that the selection of Fiscal Week is in the Default Values Pane for Query 2 whereas its in Characteristics Restrictions in Query 1. I doubt whether this setting will have any effect on the performance.
Both restriction i.e Fiscal Week restriction is based on Customer exit and the rows include Hierarchy for both the queries.
I assume creating aggregates on hierarchy for the Cube can be a solution. -
Query Performance Issues on a cube sized 64GB.
Hi,
We have a non-time based cube whose size is 64 GB . Effectively, I can't use time dimension for partitioning. The transaction table has ~ 850 million records. We have 20+ dimensions among which 2 of the dimensions have 50 million records.
I have equally distributed the fact table records among 60 partitions. Each partition size is around 900 MB.
The processing of the cube is not an issue as it completes in 3.5 hours. The issue is with the query performance of the cube.
When an MDX query is submitted, unfortunately, in majority of the cases the storage engine has to scan all the partitions (as our cube is not time dependent and we can't find a suitable dimension that will fit the bill to partition measure group based
on it.)
I'm aware of the cache warming and usage based aggregation(UBO) techniques.
However, the cube is available for users to perform adhoc queries and hence the benefits of cache warming and UBO may cease to contribute to the performance gain as there is a high probability that each user may look at the data from different perspectives
(especially when we have 20 + dimensions) as day(s) progress.
Also, we have 15 + average calculations (calculated measures) in the cube. So, the storage engine sends all the granular data that the formula engine might have requested (could be millions of rows) and then perform the average calculation.
A look at the profiler suggested that considerable amount of time has been spent by storage engine to gather the records (from 60 partitions).
FYI - Our server has RAM 32 GB and 8 cores and it is exclusive to Analysis Services.
I would appreciate comments from anyone who has worked on a large cube that is not time dependent and the steps they took to improve the adhoc query performance for the users.
Thanks
CoolPHello CoolP,
Here is a good articles regarding how to tuning query performance in SSAS, please see:
Analysis Services Query Performance Top 10 Best Practices:
http://technet.microsoft.com/en-us/library/cc966527.aspx
Hope you can find some helpful clues to tuning your SSAS Server query performance. Moreover, there are two ways to improve the query response time for an increasing number of end-users:
Adding more power to the existing server (scale up)
Distributing the load among several small servers (scale out)
For detail information, please see:
http://technet.microsoft.com/en-us/library/cc966449.aspx
Regards,
Elvis Long
TechNet Community Support -
Query Performance Issue (help)
I'm having issues w/ huge performance issues on the following. The sub intersect query lists duplicates in table1 and table2...and deletes those results from table2. But, the dups criteria is not looking at all fields, only those in the subquery....
DELETE FROM isw.accounts2
WHERE id_user||''||SYSTEM_ID||''||NM_DATABASE IN (
SELECT id_user||''||SYSTEM_ID||''||NM_DATABASE
FROM (
SELECT id_user, domain_name, system_name, user_description,
user_dn, fl_system_user, dt_user_created,
dt_user_modified, pw_changed, user_disabled,
user_locked, pw_neverexpired, pw_expired,
pw_locked, cd_geid, user_type, nm_database,
cd_altname, fl_lob, cd_account_sid, system_id
FROM isw.accounts -- accounts
WHERE SYSTEM_ID IN (SELECT SYSTEM_ID FROM SYSTEMS
WHERE FL_LOB = 'type' AND
FL_SYSTEM_TYPE = 'Syst')
INTERSECT
SELECT id_user, domain_name, system_name, user_description,
user_dn, fl_system_user, dt_user_created,
dt_user_modified, pw_changed, user_disabled,
user_locked, pw_neverexpired, pw_expired,
pw_locked, cd_geid, user_type, nm_database,
cd_altname, fl_lob, cd_account_sid, system_id
FROM isw.accounts2 --accounts_temp
WHERE SYSTEM_ID IN (SELECT SYSTEM_ID FROM SYSTEMS
WHERE FL_LOB = 'type'
AND FL_SYSTEM_TYPE = 'syst')
)Edited by: Topher34 on Oct 24, 2008 12:00 PM
Edited by: Topher34 on Oct 24, 2008 12:01 PMPLAN_TABLE_OUTPUT
Plan hash value: 2030965500
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 623 | 2269 (7)| 00:00:28 |
|* 1 | FILTER | | | | | |
|* 2 | HASH JOIN SEMI | | 1 | 623 | 236 (2)| 00:00:03 |
| 3 | TABLE ACCESS FULL | ACCOUNTS_BAX2 | 1 | 603 | 222 (1)| 00:00:03 |
|* 4 | TABLE ACCESS FULL | SYSTEMS | 15 | 300 | 14 (8)| 00:00:01 |
| 5 | VIEW | | 1 | 117 | 2032 (7)| 00:00:25 |
| 6 | INTERSECTION | | | | | |
| 7 | SORT UNIQUE | | 2145 | 418K| | |
|* 8 | HASH JOIN | | 2145 | 418K| 1793 (8)| 00:00:22 |
|* 9 | TABLE ACCESS FULL| SYSTEMS | 15 | 300 | 14 (8)| 00:00:01 |
|* 10 | TABLE ACCESS FULL| ACCOUNTS_BAX | 2269 | 398K| 1779 (8)| 00:00:22 |
| 11 | SORT UNIQUE | | 1 | 588 | | |
|* 12 | HASH JOIN | | 1 | 588 | 236 (2)| 00:00:03 |
|* 13 | TABLE ACCESS FULL| ACCOUNTS_BAX2 | 1 | 568 | 222 (1)| 00:00:03 |
|* 14 | TABLE ACCESS FULL| SYSTEMS | 15 | 300 | 14 (8)| 00:00:01 |
Edited by: Topher34 on Oct 27, 2008 8:08 AM -
SELECT query performance issue
Hello experts!!!
I am facing the performance issue in the below SELECT query. Its taking long time to execute this query.
Please suggest how can i improve the performance of this query.
SELECT MBLNR MATNR LIFNR MENGE WERKS BUKRS LGORT BWART INTO CORRESPONDING FIELDS OF TABLE IT_MSEG
FROM MSEG
WHERE MATNR IN S_MATNR
AND LIFNR IN S_LIFNR
AND WERKS IN S_WERKS
AND BUKRS IN S_BUKRS
AND XAUTO = ''
AND BWART IN ('541' , '542' , '543' , '544', '105' , '106').
Thanks in advance.
Regards
AnkurHi Ankur,
the MSEG index for material is
Index MSEG~M
MANDT
MATNR
WERKS
LGORT
BWART
SOBKZ
It could be used very efficient if you supply values for MATNR, WERKS and LGORT.
There is no index on LIFNR. IKf you want the data for specific vendor(s), you should select from EKKO first, ir has index Index EKKO~1
MANDT
LIFNR
EKORG
EKGRP
BEDAT
You can JOIN EKKO and EKBE to get the BSEG key fields GJAHR BELNR BUZEI directly.
I don't know your details but I think you can get all you need from EKKO and EKBE. You may also consider EKPO as is has a material index Index EKPO~1
MANDT
MATNR
WERKS
BSTYP
LOEKZ
ELIKZ
MATKL
Do you really need the (much bigger) MSEG?
Regards,
Clemens
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