SQL query performance between TOAD and APEX
Hi Guys,
I would like to know if there is any performance difference between a simple query run in TOAD and APEX(classic report).
The reason being, I have a query based on a single table(conataining 15000 rows) which takes almost 30seconds in APEX whereas it takes just 2-3 seconds in TOAD.
Thanks,
Raj.
Varad,
Thanks for your suggestion.
I tried changing the pagination but not much it helped.
Basically I have 5 reports on the same page.
When the user first navigates to this page then Report-1 is generated first with data as links to other reports.
So I guess when I click on any of the column links on the Report-1 then the page is refreshed and this time its taking total time for Report-1 and Report-2.
Is there a possibility that we can circumvent the execution of the first query or cache the results of report-1 so that when the page is refreshed it displays the data from the cache for Report-1 and executes the query for Report-2 ?
-Raj
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How does Index fragmentation and statistics affect the sql query performance
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ShashikalaHow does Index fragmentation and statistics affect the sql query performance
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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
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'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)
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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.
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Anyway, outside reboot speed is there a speed difference between retina and old version in term of general processing ?
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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 -
Sql query performance need to get improved
hi all..
i got performnace issue with my sp where i used 3 cte's.. i'm posting my code.please help me how can i improve the performance of query
i created non-clustered indexes for tables based on the keys with which the tables are joined..
USE [OPTM]
GO
/****** Object: StoredProcedure [dbo].[GetSample] Script Date: 01/07/2014 10:29:32 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
ALTER PROCEDURE [dbo].[GetSample]
@StartDate DateTime,
@EndDate DateTime,
@Portfolio int,
@Program int,
@Project int
AS
Date Author Purpose
06/11/2012 Ajeesh.C To get the Workitem details for the Scope Workitem Green chart Report.
06/11/2012 Shinoj.P T-SQL re-structuring.
Testing :
exec [dbo].[GetSample] '01/01/2013','12/31/2013',-1,-1,-1
exec [dbo].[GetSample] '01/01/2013','12/31/2013',16,24,199
exec [dbo].[GetSample] '11/01/2013','12/31/2013',-1,-1,703
exec [dbo].[GetSample] '11/01/2012','11/30/2012',8,-1,-1
select * from tb_Portfolio
BEGIN
DECLARE @Scope nvarchar(250),@ScopeID int,@ProjectID int,@WorkItem nvarchar(250),@ProgramID int, @PortfolioID int;
-------Added 3 columns(StatusID,Status,TaskID)--------
CREATE TABLE #GrnChartTempTable
AllocationDate datetime NULL,
Division nvarchar(50) NULL,
DivisionID int NULL,
ResourceName nvarchar(250) NULL,
ResourceEmailID nvarchar(max) NULL,
ResourceID int NULL,
Project nvarchar(250) NULL,
ProjectID int NULL,
Scope nvarchar(MAX) NULL,
ScopeID int NULL,
WorkItem nvarchar(MAX) NULL,
TaskStartDate datetime NULL,
TaskEndDate datetime NULL,
ProgramID int NULL,
Program nvarchar(250) NULL,
PortfolioID int NULL,
Portfolio nvarchar(250) NULL,
StatusID int NULL,
Status nvarchar(50) NULL,
TaskID int null,
EstimateHrs nvarchar(250) NULL,
ScopeEstimateHrs int NULL,
Allocated int NOT NULL
WITH Datematrix(AllocationDate)
As
SELECT @StartDate AS AllocationDate
UNION ALL
SELECT DATEADD(D,1,AllocationDate) AS AllocationDate
FROM Datematrix WHERE AllocationDate<@EndDate
Allocation (Division,DivisionID,ResourceName,ResourceEmailID,ResourceID,Project
,ProjectID,Scope,ScopeID,WorkItem,TaskStartDate,TaskEndDate
,ProgramID ,Program,PortfolioID ,Portfolio,StatusID,Status,TaskID,EstimateHrs,ScopeEstimateHrs)
AS
SELECT
DIV.Division
,RES.DivisionID
,RES.ResourceName
,ResourceEmailID = STUFF((
SELECT COALESCE( ', ' + CONVERT(VARCHAR,RES.Email1), '')
FROM dbo.TasksResource TSKRES WITH(NOLOCK) LEFT OUTER JOIN
dbo.tb_Resource RES WITH(NOLOCK) ON RES.UID = TSKRES.ResourceID
WHERE TSKRES.TaskID = TSK.TaskID
FOR XML PATH('')), 1, 1, '')
,RES.UID ResourceID
,PRJ.Project + ' (' + CONVERT(VARCHAR(15),PRJ.StartDate,101) +' - ' + CONVERT(VARCHAR(15),PRJ.EndDate,101) + ')' as Project
,PRJ.UID ProjectID
,SCP.Title Scope
,SCP.ScopeID
,TSK.Title WorkItem
,TSK.StartDate TaskStartDate
,TSK.EndDate TaskEndDate
,PRJ.ProgramID
,PR.Program
,PR.PortfolioID
,PF.Portfolio
,TSK.StatusID
,ST.Status
,TSK.TaskID
,TSK.EstimateHrs
,(isnull(SCP.EstimateARCH,0) + isnull(SCP.EstimateBA,0) + isnull(SCP.EstimateDev,0) + isnull(SCP.EstimatePM,0) + isnull(SCP.EstimateQA,0) + isnull(SCP.EstimateRM,0)) as ScopeEstimateHrs
--SCP.EstimateARCH + SCP.EstimateBA +SCP.EstimateDev +SCP.EstimatePM +SCP.EstimateQA +SCP.EstimateRM as ScopeEstimateHrs
FROM Tasks TSK WITH(NOLOCK)
INNER JOIN dbo.Scope SCP WITH(NOLOCK) ON TSK.ScopeID = SCP.ScopeID
INNER JOIN dbo.tb_Project PRJ WITH(NOLOCK)ON TSK.ProjectID = PRJ.UID
INNER JOIN dbo.tb_Program PR WITH(NOLOCK) ON PR.UID=PRJ.ProgramID
INNER JOIN dbo.tb_Portfolio PF WITH(NOLOCK)ON PF.UID=PR.PortfolioID
LEFT OUTER JOIN dbo.TasksResource TSKRES WITH(NOLOCK)ON TSKRES.TaskID = TSK.TaskID
LEFT OUTER JOIN dbo.tb_Resource RES WITH(NOLOCK) ON RES.UID = TSKRES.ResourceID
LEFT JOIN dbo.tb_Division DIV WITH(NOLOCK) ON RES.DivisionID = DIV.UID
LEFT JOIN dbo.tb_Status ST WITH(NOLOCK) ON TSK.StatusID=ST.UID /*relating with the high level work items */
WHERE (PRJ.UID = @Project OR @Project = -1)
AND (PRJ.ProgramID = @Program OR @Program = -1)
AND (PRJ.PortfolioID =@Portfolio OR @Portfolio = -1)
MainData (AllocationDate,Division,DivisionID,ResourceName,ResourceEmailID,ResourceID,Project,ProjectID
,Scope,ScopeID,WorkItem,TaskStartDate,TaskEndDate
,ProgramID ,Program,PortfolioID ,Portfolio,StatusID,Status,TaskID,EstimateHrs,ScopeEstimateHrs,Allocated)
AS
( SELECT
Datematrix.*
,Allocation.*
,CASE WHEN ISDATE(TaskStartDate)=1 THEN 1 ELSE 0 END AS Allocated
FROM Datematrix FULL OUTER JOIN Allocation
ON ( Datematrix.AllocationDate>= Allocation.TaskStartDate
AND Datematrix.AllocationDate<=Allocation.TaskEndDate
INSERT INTO #GrnChartTempTable
SELECT * FROM MainData
OPTION (MAXRECURSION 0);
SELECT TOP 1 @Scope=Scope,@ScopeID=ScopeID, @ProjectID=ProjectID
,@WorkItem=WorkItem,@ProgramID=ProgramID,@PortfolioID=PortfolioID
FROM #GrnChartTempTable WHERE Scope IS NOT NULL AND ISDATE(AllocationDate)=1 ORDER BY Scope ;
SELECT AllocationDate,Division,DivisionID
,ResourceName,ResourceEmailID,ResourceID,Project
,ISNULL(ProjectID,@ProjectID) ProjectID
,ISNULL(Scope,@Scope) Scope
,ISNULL(ScopeID,@ScopeID) ScopeID
,ISNULL(WorkItem,@WorkItem) WorkItem
,TaskStartDate,TaskEndDate
,ISNULL(ProgramID ,@ProgramID) ProgramID
,Program
,ISNULL(PortfolioID,@PortfolioID) PortfolioID
,Portfolio,StatusID,Status,TaskID,EstimateHrs,isnull(ScopeEstimateHrs,0)ScopeEstimateHrs,Allocated
FROM #GrnChartTempTable MainData
WHERE ISDATE(MainData.AllocationDate)=1
AND ISNULL(Scope,@Scope) IS NOT NULL
--WHERE FinalData.Scope IS NOT NULL
END
this is my code pls help..
luckyYou need to focus on optimizing your code by looking at the logic and removing any extraneous rows that you do not need - stop depending on the optimizer to do your work.
You have the following in multiple lines: ISDATE(AllocationDate)=1
Look at your final resultset. You do not want any other rows (where isdate() <> 1) so stop selecting them in the first place. In addition, you are using a full outer join in the first query that uses this logic. Since you do not qualify
your columns with the tablename (or alias - which is a best practice), I cannot say if the isdate logic negates the full outer join - but I suspect it might. I also question the logic behind the assignment of the local variables and their use in the
final query. You could remove the separate assignment query (and the variables) by simply moving that query into a derived table (or cte) of the final query. That might not be a significant improvement (you did not give any indications about the size
of the various queries) but I think it is simpler, more resilient, more obvious. I also question the reasoning behind the use of a full outer join.
Why do you left join to dbo.tb_Status? Does not every task have a status?
You join to the TaskResource and tb_Resource tables multiple times (in the Allocation cte) - and it appears that there is a 1/m relationship between task and this joined resultset. Yet the primary query of the Allocation cte does no aggregation.
That is concerning, but I don't know your data so perhaps this is correct. OTH, perhaps it depends on an assumption and your existing data has not yet violated that assumption.
But these are only guesses. As Erland indicates, optimzing requires knowledge of the tables, the data, your business logic, etc. -
Which SQL query performance is better
Putting this in a new thread so that i dont confuse and mix the query with my similiar threads.
Based on all of your suggestions for the below query,i finally came up with 2 RESOLUTIONS possible for it.
So,which would be the best in PERFORMANCE from the 2 resolutions i pasted below?I mean which will PERFORM FASTER and is more effecient.
***The original QUERY is at the bottom.
Resolution 1:-/***Divided into 2 sep. queries and using UNION ALL ****/ Is UNION ALL costly?
SELECT null, null, null, null, null,null, null, null, null,
null,null, null, null, null, null,null,null, count(*) as total_results
FROM
test_person p,
test_contact c1,
test_org_person porg
WHERE p.CLM_ID ='11' and
p.person_id = c1.ref_id(+)
AND p.person_id = porg.o_person_id
and porg.O_ORG_ID ='11'
UNION ALL
SELECT lastname, firstname,person_id, middlename,socsecnumber,
birthday, U_NAME,
U_ID,
PERSON_XML_DATA,
BUSPHONE,
EMLNAME,
ORG_NAME,
EMPID,
EMPSTATUS,
DEPARTMENT,
org_relationship,
enterprise_name,
null
FROM
SELECT
beta.*, rownum as alpha
FROM
SELECT
p.lastname, p.firstname, p.person_id, p.middlename, p.socsecnumber,
to_char(p.birthday,'mm-dd-yyyy') as birthday, p.username as U_NAME,
p.clm_id as U_ID,
p.PERSON_XML_DATA.extract('/').getStringVal() AS PERSON_XML_DATA,
c1.CONTACT_DATA.extract('//phone[1]/number/text()').getStringVal() AS BUSPHONE,
c1.CONTACT_DATA.extract('//email[2]/address/text()').getStringVal() AS EMLNAME,
c1.CONTACT_DATA.extract('//company/text()').getStringVal() AS ORG_NAME,
porg.emplid as EMPID, porg.empl_status as EMPSTATUS, porg.DEPARTMENT,
porg.org_relationship,
porg.enterprise_name
FROM
test_person p,
test_contact c1,
test_org_person porg
WHERE p.CLM_ID ='11' and
p.person_id = c1.ref_id(+)
AND p.person_id = porg.o_person_id
and porg.O_ORG_ID ='11'
ORDER BY
upper(p.lastname), upper(p.firstname)
) beta
WHERE
alpha BETWEEN 1 AND 100
Resolution 2:-
/****here,the INNER most count query is removed ****/
select *
FROM
SELECT
beta.*, rownum as alpha
FROM
SELECT
p.lastname, p.firstname, p.person_id, p.middlename, p.socsecnumber,
to_char(p.birthday,'mm-dd-yyyy') as birthday, p.username as U_NAME,
p.clm_id as U_ID,
p.PERSON_XML_DATA.extract('/').getStringVal() AS PERSON_XML_DATA,
c1.CONTACT_DATA.extract('//phone[1]/number/text()').getStringVal() AS BUSPHONE,
c1.CONTACT_DATA.extract('//email[2]/address/text()').getStringVal() AS EMLNAME,
c1.CONTACT_DATA.extract('//company/text()').getStringVal() AS ORG_NAME,
porg.emplid as EMPID, porg.empl_status as EMPSTATUS, porg.DEPARTMENT,
porg.org_relationship,
porg.enterprise_name,
COUNT(*) OVER () cnt -----This is the function
FROM
test_person p,
test_contact c1,
test_org_person porg
WHERE p.CLM_ID ='11' and
p.person_id = c1.ref_id(+)
AND p.person_id = porg.o_person_id
and porg.O_ORG_ID ='11'
ORDER BY upper(p.lastname), upper(p.firstname)
) beta
WHERE
alpha BETWEEN 1 AND 100
ORIGINAL QUERY
SELECT
FROM
SELECT
beta.*, rownum as alpha
FROM
SELECT
p.lastname, p.firstname, porg.DEPARTMENT,
porg.org_relationship,
porg.enterprise_name,
SELECT
count(*)
FROM
test_person p, test_contact c1, test_org_person porg
WHERE
p.p_id = c1.ref_id(+)
AND p.p_id = porg.o_p_id
$where_clause$
) AS results
FROM
test_person p, test_contact c1, test_org_person porg
WHERE
p.p_id = c1.ref_id(+)
AND p.p_id = porg.o_p_id
$where_clause$
ORDER BY
upper(p.lastname), upper(p.firstname)
) beta
WHERE
alpha BETWEEN #startRec# AND #endRec#I have now run the explain plans and put them below seperately for each SQL.The SQL queries for each of the items are posted in the 1st post of this thread.
***The original QUERY is at the bottom.
Resolution 1:-/***Divided into 2 sep. queries and using UNION ALL ****/ Is UNION ALL costly?
EXPLAIN PLANS SECTION
1- Original
Plan hash value: 1981931315
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 22859 | 187M| | 26722 (81)| 00:05:21 |
| 1 | UNION-ALL | | | | | | |
| 2 | SORT AGGREGATE | | 1 | 68 | | | |
| 3 | MERGE JOIN OUTER | | 22858 | 1517K| | 5290 (1)| 00:01:04 |
| 4 | MERGE JOIN | | 22858 | 982K| | 4304 (1)| 00:00:52 |
|* 5 | INDEX RANGE SCAN | test_org_person_I3 | 24155 | 542K| | 363 (1)| 00:00:05 |
|* 6 | SORT JOIN | | 22858 | 468K| 1448K| 3941 (1)| 00:00:48 |
|* 7 | TABLE ACCESS FULL | test_PERSON | 22858 | 468K| | 3716 (1)| 00:00:45 |
|* 8 | SORT JOIN | | 68472 | 1604K| 4312K| 985 (2)| 00:00:12 |
| 9 | INDEX FAST FULL SCAN | test_CONTACT_FK1 | 68472 | 1604K| | 113 (1)| 00:00:02 |
|* 10 | VIEW | | 22858 | 187M| | 21433 (1)| 00:04:18 |
| 11 | COUNT | | | | | | |
| 12 | VIEW | | 22858 | 187M| | 21433 (1)| 00:04:18 |
| 13 | SORT ORDER BY | | 22858 | 6875K| 14M| 21433 (1)| 00:04:18 |
| 14 | MERGE JOIN OUTER | | 22858 | 6875K| | 18304 (1)| 00:03:40 |
| 15 | MERGE JOIN | | 22858 | 4397K| | 11337 (1)| 00:02:17 |
| 16 | SORT JOIN | | 22858 | 3013K| 7192K| 5148 (1)| 00:01:02 |
|* 17 | TABLE ACCESS FULL | test_PERSON | 22858 | 3013K| | 3716 (1)| 00:00:45 |
|* 18 | SORT JOIN | | 24155 | 1462K| 3800K| 6189 (1)| 00:01:15 |
| 19 | TABLE ACCESS BY INDEX ROWID| test_ORG_PERSON | 24155 | 1462K| | 5535 (1)| 00:01:07 |
|* 20 | INDEX RANGE SCAN | test_ORG_PERSON_FK1| 24155 | | | 102 (1)| 00:00:02 |
|* 21 | SORT JOIN | | 68472 | 7422K| 15M| 6968 (1)| 00:01:24 |
| 22 | TABLE ACCESS FULL | test_CONTACT | 68472 | 7422K| | 2895 (1)| 00:00:35 |
Predicate Information (identified by operation id):
5 - access("PORG"."O_ORG_ID"='11')
6 - access("P"."PERSON_ID"="PORG"."O_PERSON_ID")
filter("P"."PERSON_ID"="PORG"."O_PERSON_ID")
7 - filter("P"."CLM_ID"='11')
8 - access("P"."PERSON_ID"="C1"."REF_ID"(+))
filter("P"."PERSON_ID"="C1"."REF_ID"(+))
10 - filter("ALPHA"<=25 AND "ALPHA">=1)
17 - filter("P"."CLM_ID"='11')
18 - access("P"."PERSON_ID"="PORG"."O_PERSON_ID")
filter("P"."PERSON_ID"="PORG"."O_PERSON_ID")
20 - access("PORG"."O_ORG_ID"='11')
21 - access("P"."PERSON_ID"="C1"."REF_ID"(+))
filter("P"."PERSON_ID"="C1"."REF_ID"(+))
-------------------------------------------------------------------------------terprise_name
Resolution 2:-
EXPLAIN PLANS SECTION
1- Original
Plan hash value: 1720299348
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 23518 | 13M| | 11545 (1)| 00:02:19 |
|* 1 | VIEW | | 23518 | 13M| | 11545 (1)| 00:02:19 |
| 2 | COUNT | | | | | | |
| 3 | VIEW | | 23518 | 13M| | 11545 (1)| 00:02:19 |
| 4 | WINDOW SORT | | 23518 | 3536K| | 11545 (1)| 00:02:19 |
| 5 | MERGE JOIN OUTER | | 23518 | 3536K| | 11545 (1)| 00:02:19 |
| 6 | MERGE JOIN | | 23518 | 2985K| | 10587 (1)| 00:02:08 |
| 7 | SORT JOIN | | 23518 | 1561K| 4104K| 4397 (1)| 00:00:53 |
|* 8 | TABLE ACCESS FULL | test_PERSON | 23518 | 1561K| | 3716 (1)| 00:00:45 |
|* 9 | SORT JOIN | | 24155 | 1462K| 3800K| 6189 (1)| 00:01:15 |
| 10 | TABLE ACCESS BY INDEX ROWID| test_ORG_PERSON | 24155 | 1462K| | 5535 (1)| 00:01:07 |
|* 11 | INDEX RANGE SCAN | test_ORG_PERSON_FK1| 24155 | | | 102 (1)| 00:00:02 |
|* 12 | SORT JOIN | | 66873 | 1567K| 4216K| 958 (2)| 00:00:12 |
| 13 | INDEX FAST FULL SCAN | test_CONTACT_FK1 | 66873 | 1567K| | 110 (1)| 00:00:02 |
Predicate Information (identified by operation id):
1 - filter("ALPHA"<=25 AND "ALPHA">=1)
8 - filter("P"."CLM_ID"='11')
9 - access("P"."PERSON_ID"="PORG"."O_PERSON_ID")
filter("P"."PERSON_ID"="PORG"."O_PERSON_ID")
11 - access("PORG"."O_ORG_ID"='11')
12 - access("P"."PERSON_ID"="C1"."REF_ID"(+))
filter("P"."PERSON_ID"="C1"."REF_ID"(+))
ORIGINAL QUERY
EXPLAIN PLANS SECTION
1- Original
Plan hash value: 319284042
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 22858 | 187M| | 21433 (1)| 00:04:18 |
|* 1 | VIEW | | 22858 | 187M| | 21433 (1)| 00:04:18 |
| 2 | COUNT | | | | | | |
| 3 | VIEW | | 22858 | 187M| | 21433 (1)| 00:04:18 |
| 4 | SORT ORDER BY | | 22858 | 6875K| 14M| 21433 (1)| 00:04:18 |
| 5 | MERGE JOIN OUTER | | 22858 | 6875K| | 18304 (1)| 00:03:40 |
| 6 | MERGE JOIN | | 22858 | 4397K| | 11337 (1)| 00:02:17 |
| 7 | SORT JOIN | | 22858 | 3013K| 7192K| 5148 (1)| 00:01:02 |
|* 8 | TABLE ACCESS FULL | test_PERSON | 22858 | 3013K| | 3716 (1)| 00:00:45 |
|* 9 | SORT JOIN | | 24155 | 1462K| 3800K| 6189 (1)| 00:01:15 |
| 10 | TABLE ACCESS BY INDEX ROWID| test_ORG_PERSON | 24155 | 1462K| | 5535 (1)| 00:01:07 |
|* 11 | INDEX RANGE SCAN | test_ORG_PERSON_FK1| 24155 | | | 102 (1)| 00:00:02 |
|* 12 | SORT JOIN | | 68472 | 7422K| 15M| 6968 (1)| 00:01:24 |
| 13 | TABLE ACCESS FULL | test_CONTACT | 68472 | 7422K| | 2895 (1)| 00:00:35 |
Predicate Information (identified by operation id):
1 - filter("ALPHA"<=25 AND "ALPHA">=1)
8 - filter("P"."CLM_ID"='1862')
9 - access("P"."PERSON_ID"="PORG"."O_PERSON_ID")
filter("P"."PERSON_ID"="PORG"."O_PERSON_ID")
11 - access("PORG"."O_ORG_ID"='1862')
12 - access("P"."PERSON_ID"="C1"."REF_ID"(+))
filter("P"."PERSON_ID"="C1"."REF_ID"(+))
-------------------------------------------------------------------------------Edited by: user10817659 on Feb 19, 2009 11:47 PM
Edited by: user10817659 on Feb 21, 2009 12:23 AM -
How to run a sql query from a button in apex 3.0
Hi,
I am brand new and went through/installed the obe project tracker. I have need to create a simple application that displays a result (2 fields, name and license number) based on two parameters (dob and login id) which all are stored in 1 table in the database. I could this very simply in VB or VB.net but have no idea how to do it in apex.
Please provide guidance,
Thank you,
TomHi Tom,
Sounds like a report region will satisfy your requirements.
Create a new report region on one of your pages.
Choose SQL Report and give the region a title.
When you get to the "Enter SQL Query or PL/SQL function returning a SQL Query:" step, type:
SELECT name, license_number
FROM <insert_your_table_name_here>
WHERE dob = :P<n>_dob
AND login_id = :P<n>loginid(replace <n> with the page number that the region is on and use your own table name).
Don't try to run the page yet - it will give 'No data found'
Now, go back to the Page Definition screen and add two items in the region you just created - call them P<n>dob and P<n>login_id
Then, create a button in the same region (to be displayed amongst the region's items) - call it P<n>_GO and click 'Create' (take all the other defaults).
Now you can run the page, put some values into the fields and click go.
If you want to get fancier, you can change the text items to select lists etc. - let us know if you need help with that.
Hope this helps,
Bryan. -
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 -
Morning all,
I've just been assigned a report-related project but I have not created much of anything in C# or .Net before!
I was wondering if someone could help me get started. Here are the specifications:
Basically, I am to create an automated report application. I have the query and I will include it further down
in this post. The page is to have a couple blanks to specify the Start Date and End Date and replace those dates in the query, and generate the report. What I need some help on is how to make the SQL query work in the application which I will connect to the
intended database to generate the report (basic I know, but I'm new at this) on Visual Studio 2010. I also need some help on programming the Start Date blank and End Date blank so that what the user types in for those blanks will replace the date fields in
the SQL query, then generate the report with the new dates.
I appreciate the help!
The SQL query and what the dates are replacing:
select
PTH.INST_ID ,
PTH.EMPLOYEE_ID,
DBH.HR_DEDUCTION_AND_BENEFITS_CODE,
replace(DB.DESCRIPTION,',',''),
DB.WITHHOLDING_LIABILITY_ACCOUNT_MASK,
DBH.HR_DEDUCTION_AND_BENEFITS_ID,
DBH.CHECK_DATE,
DBH.CHECK_NO,
DBH.FIN_INST_ACCT_ID,
replace(replace (DBH.COMMENT,CHAR(10),' '),CHAR(13),' '),
DBH.HR_DEDUCTION_AND_BENEFIT_CYCLE_CODE,
DBH.LENGTH,
DBH.EMPLOYEE_COMPUTED_AMOUNT,
DBH.EMPLOYEE_BANK_ROUTING_NUMBER,
DBH.EMPLOYEE_ACCOUNT_TYPE,
DBH.EMPLOYEE_ACCOUNT_NUMBER,
DBH.EMPLOYER_COMPUTED_AMOUNT,
DBH.EMPLOYEE_GROSS_AMOUNT,
DBH.EMPLOYER_GROSS_AMOUNT,
DBH.PAYROLL_EXCLUDE,
PTH.VOID_DATE,
PTH.BATCH_QUEUE_ID,
B.BATCH_CODE,
BQ.FY,
BQ.END_DATE,
BQ.COMMENTS,
BQ.BATCH_CRITERIA_USED,
BP.COLUMN_VALUE,
PTH.REPLACEMENT,
P.LAST_NAME,
P.FIRST_NAME,
P.MIDDLE_NAME
from PY_EMPLOYEE_TAX_HISTORY PTH
INNER JOIN PERSON_EMPLOYEE PE ON
PE.INST_ID=PTH.INST_ID AND
PE.EMPLOYEE_ID=PTH.EMPLOYEE_ID
INNER JOIN PERSON P ON
PE.INST_ID=P.INST_ID AND
PE.PERSON_ID=P.PERSON_ID
LEFT JOIN HR_EMPLOYEE_DEDUCTIONS_AND_BENEFITS_HISTORY DBH ON
PTH.INST_ID=DBH.INST_ID AND
PTH.CHECK_DATE=DBH.CHECK_DATE AND
PTH.CHECK_NO=DBH.CHECK_NO AND
PTH.EMPLOYEE_ID=DBH.EMPLOYEE_ID
LEFT JOIN HR_DEDUCTION_AND_BENEFITS DB ON
DB.INST_ID=DBH.INST_ID AND
DB.HR_DEDUCTION_AND_BENEFITS_CODE=DBH.HR_DEDUCTION_AND_BENEFITS_CODE
LEFT JOIN BATCH_QUEUE BQ ON
PTH.BATCH_QUEUE_ID=BQ.BATCH_QUEUE_ID
LEFT JOIN BATCH B ON
B.BATCH_CODE=BQ.BATCH_CODE
LEFT JOIN BATCH_PARAMETER BP ON
BQ.BATCH_QUEUE_ID=BP.BATCH_QUEUE_ID
AND BP.COLUMN_NAME = 'SUPPRESS_DIRECT_DEPOSIT'
------Please change the WHERE condition for date range of the month you need to run this for.
WHERE PTH.CHECK_DATE >='07/01/2013'
AND PTH.CHECK_DATE <='07/31/2013'
and BQ.BATCH_CODE='BAT_PY_PAYCALC'
and bq.fy=2014
ORDER BY PTH.INST_ID ,
PTH.EMPLOYEE_ID,
DBH.HR_DEDUCTION_AND_BENEFITS_CODE,
DBH.CHECK_DATETry this code. The Server name will be the same name when you use SQL Server Management Studio (SSMS). It is in the login window for SSMS. I assume you are using SQLSTANDARD (not SQLEXPRESS) which is in the connection string in the code
below. I also assume you have remote connection allowed in the database.
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Data;
using System.Data.SqlClient;
namespace ConsoleApplication1
class Program
const string DATABASE = "Enter Database Name Here";
const string SERVER = "Enter Server Name Here";
static void Main(string[] args)
DateTime startDate = DateTime.Parse("07/01/2013");
string startDateStr = startDate.ToString("MM/dd/yyyy");
DateTime endDate = new DateTime(startDate.Year, startDate.Month + 1, 1).AddDays(-1);
string endDateStr = endDate.ToString("MM/dd/yyyy");
string connStr = string.Format("Server={0}\\SQLSTANDARD;Database={1};Trusted_Connection= True;", SERVER,DATABASE);
string SQL = string.Format(
"select\n" +
" PTH.INST_ID\n" +
",PTH.EMPLOYEE_ID\n" +
",DBH.HR_DEDUCTION_AND_BENEFITS_CODE,\n" +
",replace(DB.DESCRIPTION,',','')\n" +
",DB.WITHHOLDING_LIABILITY_ACCOUNT_MASK\n" +
",DBH.HR_DEDUCTION_AND_BENEFITS_ID\n" +
",DBH.CHECK_DATE\n" +
",DBH.CHECK_NO\n" +
",DBH.FIN_INST_ACCT_ID\n" +
",replace(replace (DBH.COMMENT,CHAR(10),' '),CHAR(13),' ')\n" +
",DBH.HR_DEDUCTION_AND_BENEFIT_CYCLE_CODE\n" +
",DBH.LENGTH\n" +
",DBH.EMPLOYEE_COMPUTED_AMOUNT\n" +
",DBH.EMPLOYEE_BANK_ROUTING_NUMBER\n" +
",DBH.EMPLOYEE_ACCOUNT_TYPE\n" +
",DBH.EMPLOYEE_ACCOUNT_NUMBER\n" +
",DBH.EMPLOYER_COMPUTED_AMOUNT\n" +
",DBH.EMPLOYEE_GROSS_AMOUNT\n" +
",DBH.EMPLOYER_GROSS_AMOUNT\n" +
",DBH.PAYROLL_EXCLUDE\n" +
",PTH.VOID_DATE\n" +
",PTH.BATCH_QUEUE_ID\n" +
",B.BATCH_CODE\n" +
",BQ.FY\n" +
",BQ.END_DATE\n" +
",BQ.COMMENTS\n" +
",BQ.BATCH_CRITERIA_USED\n" +
",BP.COLUMN_VALUE\n" +
",PTH.REPLACEMENT\n" +
",P.LAST_NAME\n" +
",P.FIRST_NAME\n" +
",P.MIDDLE_NAME\n" +
" from PY_EMPLOYEE_TAX_HISTORY PTH\n" +
" INNER JOIN PERSON_EMPLOYEE PE ON\n" +
" PE.INST_ID=PTH.INST_ID AND\n" +
" PE.EMPLOYEE_ID=PTH.EMPLOYEE_ID\n" +
" INNER JOIN PERSON P ON\n" +
" PE.INST_ID=P.INST_ID AND\n" +
" PE.PERSON_ID=P.PERSON_ID\n" +
" LEFT JOIN HR_EMPLOYEE_DEDUCTIONS_AND_BENEFITS_HISTORY DBH ON\n" +
" PTH.INST_ID=DBH.INST_ID AND\n" +
" PTH.CHECK_DATE=DBH.CHECK_DATE AND\n" +
" PTH.CHECK_NO=DBH.CHECK_NO AND\n" +
" PTH.EMPLOYEE_ID=DBH.EMPLOYEE_ID\n" +
" LEFT JOIN HR_DEDUCTION_AND_BENEFITS DB ON\n" +
" DB.INST_ID=DBH.INST_ID AND\n" +
" DB.HR_DEDUCTION_AND_BENEFITS_CODE=DBH.HR_DEDUCTION_AND_BENEFITS_CODE\n" +
" LEFT JOIN BATCH_QUEUE BQ ON\n" +
" PTH.BATCH_QUEUE_ID=BQ.BATCH_QUEUE_ID\n" +
" LEFT JOIN BATCH B ON\n" +
" B.BATCH_CODE=BQ.BATCH_CODE\n" +
" LEFT JOIN BATCH_PARAMETER BP ON\n" +
" BQ.BATCH_QUEUE_ID=BP.BATCH_QUEUE_ID\n" +
" AND BP.COLUMN_NAME = 'SUPPRESS_DIRECT_DEPOSIT'\n" +
" WHERE PTH.CHECK_DATE >='{0}'\n" +
" AND PTH.CHECK_DATE <='{1}'\n" +
" and BQ.BATCH_CODE='BAT_PY_PAYCALC'\n" +
" and bq.fy=2014\n" +
" ORDER BY PTH.INST_ID\n" +
",PTH.EMPLOYEE_ID\n" +
",DBH.HR_DEDUCTION_AND_BENEFITS_CODE\n" +
",DBH.CHECK_DATE", startDateStr, endDateStr);
SqlDataAdapter adapter = new SqlDataAdapter(SQL, connStr);
DataTable dt = new DataTable();
adapter.Fill(dt);
jdweng
Could you elaborate more on what this code does in general?
Does it generate a table with the data between specified dates? If so, where is the table shown?
Where does one enter in the specified start and end dates on the Web Application? Do I have to create start and end date blanks and link them to the code for it to work?
Sorry for the inconvenience - I'm just really new at this. Thanks! -
SQL query using Group by and Aggregate function
Hi All,
I need your help in writing an SQL query to achieve the following.
Scenario:
I have table with 3 Columns. There are 3 possible values for col3 - Success, Failure & Error.
Now I need a query which can give me the summary counts for distinct values of col3 for each GROUP BY of col1 and col2 values. When there are no values for col3 then it should return ZERO count.
Example Data:
Col1 Col2 Col3
abc 01 success
abc 02 success
abc 01 success
abc 01 Failure
abc 01 Error
abc 02 Failure
abc 03 Error
xyz 07 Failure
Required Output:
c1 c2 s_cnt F_cnt E_cnt (Heading)
abc 01 2 1 1
abc 02 1 1 0
abc 03 0 0 1
xyz 07 0 1 0
s_cnt = Success count; F_cnt = Failure count; E_cnt = Error count
Please note that the output should have 5 columns with col1, col2, group by (col1,col2)count(success), group by (col1,col2)count(failure), group by (col1,col2)count(error)
and where ever there are NO ROWS then it should return ZERO.
Thanks in advance.
Regards,
ShivaHi,
user13015050 wrote:
Thanks TTT. Unfortunately I cannot use this solution because I have huge data for this.T's solution is basically the same as mine. The first 23 lines just simulates your table. Since you actually have a table, you would start with T's line 24:
SELECT col1 c1, col2 c2, SUM(decode(col3, 'success', 1, 0)) s_cnt, ...
user13015050 wrote:Thanks a lot Frank. It helped me out. I just did some changes to this as below and have no issues.
SELECT col1
, col2
, COUNT ( CASE
WHEN col3 = 'SUCCESS'
THEN 1
END
) AS s_cnt
, COUNT ( CASE
WHEN col3 = 'FAILED'
THEN 1
END
) AS f_cnt
, COUNT ( CASE
WHEN col3 = 'ERROR'
THEN 1
END
) AS e_cnt
FROM t1
WHERE c2 in ('PURCHASE','REFUND')
and c4 between to_date('20091031000000','YYYYMMDDHH24MISS') AND to_date('20100131235959','YYYYMMDDHH24MISS')
GROUP BY c1, c2
ORDER BY c1, c2;
Please let me know if you see any issues in this query.It's very hard to read.
This site normally compresses spaces. Whenever you post formatted text (such as queries or results) on this site, type these 6 characters:
\(small letters only, inside curly brackets) before and after each section of formatted text, to preserve spacing.
Also, post exactly what you're using. The code above is SELECTing col1 and col2, but there's no mention of either in the GROUP BY clause, so I don't believe it's really what you're using.
Other than that, I don't see anything wrong or suspicious in the query. -
How to test SQL query performance - realiably?
I have certain queries and I want to test which one is faster, and how big is the difference.
How can I do this reliably?
The problem is, when I execute the queries, Oracle does it's caching and execution planning and whatnot, and results of the queries are dependent on the order I execute them.
Example: query A and query B, supposed to return same data.
query A, run 1: 587 seconds
query A, run 2: 509 seconds
query B, run 1: 474 seconds
query B, run 2: 451 seconds
It would seem that A is somewhat faster than B, but if I change the order and execute B before A, results are different.
Also I'm running the queries in SQL Developer, and it only returns 100 first lines, how can I remove this effect and simulate real scenario where all lines are fetched?
I can also use EXPLAIN PLANs and look at the costs but I'm not sure how much I can trust those either. I understand they are only estimations and even if cost(a) = 1.5 * cost (b), b could still end up executing faster in practise due to inaccuracies in the cost calculation....right? EDIT: actually event if cost(a) = 5000 * cost(b), b can still execute faster.....seems like query A's cost is 15836 and B's cost is 3 while A seems to be faster in practise.
Edited by: user620914 on 19-Jan-2010 01:42user620914 wrote:
I have to say I don't understand your point either :)
What are you saying, that people should not test their SQL performance? That tools such as autotrace are useless?No.. what I'm saying is that you need a baseline to make an informed decision about SQL performance.
What does a 4 second SQL performance mean for query foo ? Nothing really.. wearing my dba cap I would point at that this is actually utterly useless for me to determine the impact of your query on production, or use it to determine how to scale it.
If instead you tell me that is hits that table using an index range scan.. I know what it is doing and have a far better idea what it will do to the production instance.
Thus my questioning this "+elapsed time+" measurement approach. I as a dba cannot use it... and I'm not sure what benefit (wearing my developer hat) you will find from it either.
You can form your SQL queries better or worse, or select your table structure / indexes better or worse. Some choices may end up executing orders of magnitude slower than others. Obviously you can't get exact measurements "this query executes in 43123 ns" and there are a lot of unpredictable variables that affect the end performance. Still, it's often better to test your querie's / table's performance before implementing them in the application than not.Exactly. I'm not questioning the fact that optimising your code (and ALL your code, not just SQL) is a Good Thing (tm) - but how you go about that optimisation process.
For example, your PL/SQL code fires off a query. It returns on average 10,000 rows, hits a single partition (SQL enables partitioning pruning) and then uses a local bitmap index to identify the rows.
An optimal query by the sounds of it, and one that will perform and scale well.. even when the database instance needs to service a 100 clients using your code and running this query.
Only, the code does a single bulk collect of all the rows and stuff it into dedicated process memory (PGA). Servicing a 100 clients means that dedicated server memory is now needed for 100x10000 rows - there's insufficient free memory, causing the kernel to start swapping pages in and out of memory heavily as all 100 client sessions are active and wanting to process the rows returned by the optimal query.
What happens to scalability and performance now?
Testing for performance is not simply measuring a query and then trying to use that or extrapolate that to determine application performance and the impact on production.
It starts with the design of the tables, the design of the application, the writing of the code (application and SQL). It is not something that should be done after the fact as in "+okay, application all done, let's see how she performs!+".. and especially not using time as the baseline for performance measurement. -
Speed up SQL Query performance
Hi,
I am having a SQL query which has got some inner joins between tables.
In this query i will be selecting values from set of values obtained by going through all rows in a table.
I am using a inner join between two tables to achive this purpose.
But, as the table which i go through all rows is extremely big it takes lot of time to go through all rows and the query slows down.
Is there any other way by which i can speed up query.This is the out put of my test plan.
Please suggest which one needs to be improved.
PLAN_TABLE_OUTPUT
Plan hash value: 3453987661
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 3 | 1002 | 3920 (1)| 00:00:48 |
| 1 | SORT ORDER BY | | 3 | 1002 | 3920 (1)| 00:00:48 |
|* 2 | TABLE ACCESS BY INDEX ROWID | AS_EVENT_CHR_DATA | 1 | 17 | 4 (0)| 00:00:01 |
| 3 | NESTED LOOPS | | 3 | 1002 | 3919 (1)| 00:00:48 |
|* 4 | HASH JOIN | | 3 | 951 | 3907 (1)| 00:00:47 |
|* 5 | TABLE ACCESS FULL | EV_CHR_DATA_TYPE | 1 | 46 | 2 (0)| 00:00:01 |
| 6 | TABLE ACCESS BY INDEX ROWID | AS_EVENT_CHR_DATA | 702 | 50544 | 3883 (1)| 00:00:47 |
| 7 | NESTED LOOPS | | 348 | 94308 | 3904 (1)| 00:00:47 |
| 8 | NESTED LOOPS | | 1 | 199 | 21 (5)| 00:00:01 |
| 9 | NESTED LOOPS | | 1 | 174 | 20 (5)| 00:00:01 |
|* 10 | HASH JOIN | | 1 | 127 | 18 (6)| 00:00:01 |
| 11 | NESTED LOOPS | | 1 | 95 | 13 (0)| 00:00:01 |
| 12 | NESTED LOOPS | | 1 | 60 | 12 (0)| 00:00:01 |
| 13 | NESTED LOOPS | | 1 | 33 | 10 (0)| 00:00:01 |
| 14 | TABLE ACCESS BY INDEX ROWID| ASSET | 1 | 21 | 2 (0)| 00:00:01 |
|* 15 | INDEX UNIQUE SCAN | SERIAL_NUMBER_K3 | 1 | | 1 (0)| 00:00:01 |
|* 16 | INDEX FAST FULL SCAN | SYS_C0053318 | 1 | 12 | 8 (0)| 00:00:01 |
| 17 | TABLE ACCESS BY INDEX ROWID | SEGMENT_CHILD | 1 | 27 | 2 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | SYS_C0053319 | 12 | | 1 (0)| 00:00:01 |
| 19 | TABLE ACCESS BY INDEX ROWID | SEGMENT | 1 | 35 | 1 (0)| 00:00:01 |
|* 20 | INDEX UNIQUE SCAN | SYS_C0053318 | 1 | | 0 (0)| 00:00:01 |
|* 21 | TABLE ACCESS FULL | SEGMENT_TYPE | 1 | 32 | 4 (0)| 00:00:01 |
| 22 | TABLE ACCESS BY INDEX ROWID | ASSET_ON_SEGMENT | 1 | 47 | 2 (0)| 00:00:01 |
|* 23 | INDEX RANGE SCAN | ASSET_ON_SEGME_UK8115533871153 | 1 | | 1 (0)| 00:00:01 |
| 24 | TABLE ACCESS BY INDEX ROWID | ASSET | 1 | 25 | 1 (0)| 00:00:01 |
|* 25 | INDEX UNIQUE SCAN | SYS_C0053240 | 1 | | 0 (0)| 00:00:01 |
|* 26 | INDEX RANGE SCAN | AS_EV_CHR_DATA_ASSETPK | 4673 | | 28 (4)| 00:00:01 |
|* 27 | INDEX RANGE SCAN | SYS_C0053249 | 5 | | 2 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter("PARAMETRIC_TAG_NAME"."DATA_VALUE"='EngineOilConsumption')
4 - access("AS_EVENT_CHR_DATA"."EC_DB_SITE"="EV_CHR_DATA_TYPE"."EC_DB_SITE" AND
"AS_EVENT_CHR_DATA"."EC_DB_ID"="EV_CHR_DATA_TYPE"."EC_DB_ID" AND
"AS_EVENT_CHR_DATA"."EC_TYPE_CODE"="EV_CHR_DATA_TYPE"."EC_TYPE_CODE")
5 - filter("EV_CHR_DATA_TYPE"."NAME"='servicing ptric time unit')
10 - access("OILSEG"."SG_TYPE_CODE"="SEGMENT_TYPE"."SG_TYPE_CODE")
15 - access("ASSET"."SERIAL_NUMBER"='30870')
16 - filter("ASSET"."ASSET_ID"="SEGMENT"."SEGMENT_ID")
18 - access("SEGMENT"."SEGMENT_SITE"="SEGMENT_CHILD"."SEGMENT_SITE" AND
"SEGMENT"."SEGMENT_ID"="SEGMENT_CHILD"."SEGMENT_ID")
20 - access("SEGMENT_CHILD"."CHILD_SG_SITE"="OILSEG"."SEGMENT_SITE" AND
"SEGMENT_CHILD"."CHILD_SG_ID"="OILSEG"."SEGMENT_ID")
21 - filter("SEGMENT_TYPE"."NAME"='Aircraft Equipment Engine Holder')
23 - access("OILSEG"."SEGMENT_ID"="ASSET_ON_SEGMENT"."SEGMENT_ID")
25 - access("ASSET_ON_SEGMENT"."ASSET_ORG_SITE"="OILASSET"."ASSET_ORG_SITE" AND
"ASSET_ON_SEGMENT"."ASSET_ID"="OILASSET"."ASSET_ID")
26 - access("ASSET_ON_SEGMENT"."ASSET_ORG_SITE"="AS_EVENT_CHR_DATA"."ASSET_ORG_SITE" AND
"ASSET_ON_SEGMENT"."ASSET_ID"="AS_EVENT_CHR_DATA"."ASSET_ID")
27 - access("AS_EVENT_CHR_DATA"."AS_EV_ID"="PARAMETRIC_TAG_NAME"."AS_EV_ID")
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