Need OES Performance tuning steps for 10g

Hi Guys,
I am looking for a performance tuning document for OES 10g?
can someone provide me that or can someone illustrate the steps please?
Regards,
Naveen

Hi Gopi,
Following are the different tools provided by SAP for performance analysis of an ABAP object
Run time analysis transaction SE30
This transaction gives all the analysis of an ABAP program with respect to the database and the non-database processing.
SQL Trace transaction ST05
The trace list has many lines that are not related to the SELECT statement in the ABAP program. This is because the execution of any ABAP program requires additional administrative SQL calls. To restrict the list output, use the filter introducing the trace list.
check these links:
http://www.sapgenie.com/abap/performance.htm
http://www.sapdevelopment.co.uk/perform/performhome.htm
http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_Introduction.asp
regards,
keerthi.

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hi,
i want to know the step of persformance tuning and sql tuning.

I'd suggest you to refer to documentation: [Oracle Database 2 Day + Performance Tuning Guide 10g Release 2 (10.2)|http://download.oracle.com/docs/cd/B19306_01/server.102/b28051/toc.htm]
Kamran Agayev A. (10g OCP)
http://kamranagayev.wordpress.com
[Step by Step install Oracle on Linux and Automate the installation using Shell Script |http://kamranagayev.wordpress.com/2009/05/01/step-by-step-installing-oracle-database-10g-release-2-on-linux-centos-and-automate-the-installation-using-linux-shell-script/]

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Hi All,
I come across a question like, There is a process chain of 20 processes.out of which 5 processes are completed at the 6th step error occured and it cannot be rectified. I should start the chain again from the 7th step.If i go to a prticular step i can do that particular step, How can i start the entair chain again from step 7.i know that i need to use a function module but i dont know the name of FM. Please somebody help me out.
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Thanks & Regards
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Hi,
Process Chain
Method 1 (when it fails in a step/request)
/people/siegfried.szameitat/blog/2006/02/26/restarting-processchains
How is it possible to restart a process chain at a failed step/request?
Sometimes, it doesn't help to just set a request to green status in order to run the process chain from that step on to the end.
You need to set the failed request/step to green in the database as well as you need to raise the event that will force the process chain to run to the end from the next request/step on.
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1. rspcprocesslog-log_id -> i_logid
2. rspcprocesslog-type -> i_type
3. rspcprocesslog-variante -> i_variant
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General tips
Using aggregates and compression.
Using less and complex cell definitions if possible.
1. Avoid using too many nav. attr
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3. Many chars in row.
By using T-codes ST03 or ST03N
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/people/andreas.vogel/blog/2007/04/08/statistical-records-part-4-how-to-read-st03n-datasets-from-db-in-nw2004
/people/andreas.vogel/blog/2007/03/16/how-to-read-st03n-datasets-from-db
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Refer.
http://help.sap.com/saphelp_nw70/helpdata/en/b8/23813b310c4a0ee10000000a114084/content.htm
http://help.sap.com/saphelp_nw70/helpdata/en/60/f0fb411e255f24e10000000a1550b0/frameset.htm
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http://help.sap.com/saphelp_nw70/helpdata/en/26/4bc0417951d117e10000000a155106/frameset.htm
/people/vikash.agrawal/blog/2006/04/17/query-performance-150-is-aggregates-the-way-out-for-me
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/1955ba90-0201-0010-d3aa-8b2a4ef6bbb2
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/ce7fb368-0601-0010-64ba-fadc985a1f94
http://help.sap.com/saphelp_nw04/helpdata/en/c1/0dbf65e04311d286d6006008b32e84/frameset.htm
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Partitions
Databases
Schemas
Buffer Pools
Tablespaces etc
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Hi Guys
i hope all are well,Have a nice day Today
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Hi Friends,
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Hi,
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Hi Gregory,
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Linux 2.6.18-128.el5 (hostname)
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sda               7.61    10.42 4.28 5.28   345.38   125.59    49.26     0.12   12.91   3.18   3.04
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sda2              0.22     0.00 0.01 0.00     0.23     0.00    18.78     0.00    4.05   3.54   0.00
sda3              5.25     8.26 3.58 2.47   310.67    85.87    65.54     0.09   15.09   3.37   2.04
sda4              0.00     0.00 0.00 0.00     0.00     0.00     1.83     0.00    0.33   0.33   0.00
sda5              0.83     1.95 0.55 2.70    31.62    37.24    21.17     0.03    8.88   3.49   1.13
sda6              0.68     0.07 0.06 0.04     1.11     0.85    19.74     0.00   13.91   9.05   0.09
sda7              0.33     0.14 0.04 0.07     0.90     1.63    24.17     0.00   15.73 11.13   0.12
sdb               0.06     0.00 0.03 0.00     0.75     0.00    25.57     0.00    1.64   1.48   0.00
sdb1              0.04     0.00 0.01 0.00     0.45     0.00    34.90     0.00    3.13   2.85   0.00
sdc               5.86     0.16 45.05 2.74 7805.28   129.85   166.04     2.57   53.82   9.12 43.58
sdc1              5.79     0.16 45.02 2.74 7804.99   129.85   166.12     2.57   53.85   9.12 43.57
sdd               5.85     0.17 44.45 2.68 7767.34   133.80   167.65     2.68   56.95   9.43 44.43
sdd1              5.78     0.17 44.42 2.68 7767.06   133.80   167.74     2.68   56.98   9.43 44.43
sde               5.89     0.16 44.86 2.37 7774.84   122.75   167.23     2.24   47.51   8.96 42.30
sde1              5.82     0.16 44.83 2.37 7774.55   122.75   167.31     2.24   47.54   8.96 42.29
sdf               5.91     0.16 63.70 2.69 8053.71   133.15   123.32     2.98   44.89   7.59 50.40
sdf1              5.84     0.16 63.67 2.69 8053.43   133.15   123.36     2.98   44.91   7.59 50.39
sdg               0.19     0.11 0.07 0.61     2.54   131.30   199.27     0.04   65.76 28.52   1.92
sdg1              0.12     0.11 0.04 0.61     2.25   131.30   206.81     0.04   68.26 29.56   1.91
sdh               4.43     2.29 0.99 1.36   199.10    29.19    97.03     0.05   20.92   5.13   1.21
sdh1              4.43     2.29 0.98 1.36   198.95    29.19    97.49     0.05   21.01   5.14   1.20
avg-cpu: %user   %nice %system %iowait %steal   %idle
          13.72    0.00    2.49   75.31    0.00    8.48
Device:         rrqm/s   wrqm/s   r/s   w/s   rsec/s   wsec/s avgrq-sz avgqu-sz   await svctm %util
sda               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda2              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda3              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda4              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda5              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda6              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda7              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdc              18.00     0.00 54.00 2.00 25984.00   160.00   466.86     8.96   94.18 17.89 100.20
sdc1             18.00     0.00 54.00 2.00 25984.00   160.00   466.86     8.96   94.18 17.89 100.20
sdd              18.00     0.00 79.00 2.00 40240.00    32.00   497.19     8.61 118.93 12.04 *97.50*
sdd1             18.00     0.00 79.00 2.00 40240.00    32.00   497.19     8.61 118.93 12.04 *97.50*
sde              19.00     0.00 44.00 8.00 26656.00   187.00   516.21     9.34 119.81 19.27 *100.20*
sde1             19.00     0.00 44.00 8.00 26656.00   187.00   516.21     9.34 119.81 19.27 *100.20*
sdf              26.00     0.00 76.00 6.00 35600.00    59.00   434.87     3.23   40.76 10.52 86.30
sdf1             26.00     0.00 76.00 6.00 35600.00    59.00   434.87     3.23   40.76 10.52 86.30
sdg               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdg1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdh               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdh1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
avg-cpu: %user   %nice %system %iowait %steal   %idle
          18.64    0.00    5.29   49.87    0.00   26.20
Device:         rrqm/s   wrqm/s   r/s   w/s   rsec/s   wsec/s avgrq-sz avgqu-sz   await svctm %util
sda               0.00    14.00 0.00 3.00     0.00   136.00    45.33     0.01    1.67   1.67   0.50
sda1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda2              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda3              0.00    14.00 0.00 3.00     0.00   136.00    45.33     0.01    1.67   1.67   0.50
sda4              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda5              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda6              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda7              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdc              44.00     0.00 99.00 1.00 58368.00     8.00   583.76    12.03 154.83   9.66 96.60
sdc1             44.00     0.00 99.00 1.00 58368.00     8.00   583.76    12.03 154.83   9.66 96.60
sdd              44.00     0.00 103.00 0.00 50672.00     0.00   491.96    10.07   82.47   8.37 86.20
sdd1             44.00     0.00 103.00 0.00 50672.00     0.00   491.96    10.07   82.47   8.37 86.20
sde              45.00     0.00 110.00 5.00 58176.00   126.00   506.97    13.01 113.47   8.02 92.20
sde1             45.00     0.00 110.00 5.00 58176.00   126.00   506.97    13.01 113.47   8.02 92.20
sdf              40.00     0.00 122.00 5.00 52944.00   126.00   417.87     9.74   63.94   6.52 82.80
sdf1             40.00     0.00 122.00 5.00 52944.00   126.00   417.87     9.74   63.94   6.52 82.80
sdg               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.01    0.00   0.00   0.90
sdg1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.01    0.00   0.00   0.90
sdh               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdh1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
avg-cpu: %user   %nice %system %iowait %steal   %idle
           7.48    0.00    2.49   *61.60*    0.00   28.43
Device:         rrqm/s   wrqm/s   r/s   w/s   rsec/s   wsec/s avgrq-sz avgqu-sz   await svctm %util
sda               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda2              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda3              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda4              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda5              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda6              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda7              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdc              13.86     0.00 38.61 0.99 19611.88    11.88   495.50     3.35   79.53 25.03 99.11
sdc1             13.86     0.00 38.61 0.99 19611.88    11.88   495.50     3.35   79.53 25.03 99.11
sdd              15.84     0.00 40.59 0.99 17758.42    31.68   427.81    10.93 122.36 23.26 96.73
sdd1             15.84     0.00 40.59 0.99 17758.42    31.68   427.81    10.93 122.36 23.26 96.73
sde              12.87     0.00 46.53 1.98 22035.64    70.30   455.65    13.19 275.96 20.43 99.11
sde1             12.87     0.00 46.53 1.98 22035.64    70.30   455.65    13.19 275.96 20.43 99.11
sdf              13.86     0.00 39.60 2.97 17584.16   101.98   415.42     6.83   81.19 22.21 94.55
sdf1             13.86     0.00 39.60 2.97 17584.16   101.98   415.42     6.83   81.19 22.21 94.55
sdg               0.00     0.00 0.00 0.99     0.00     7.92     8.00     0.21 226.00 217.00 21.49
sdg1              0.00     0.00 0.00 0.99     0.00     7.92     8.00     0.21 226.00 217.00 21.49
sdh               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdh1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
avg-cpu: %user   %nice %system %iowait %steal   %idle
          24.69    0.00    8.98   48.38    0.00   17.96
Device:         rrqm/s   wrqm/s   r/s   w/s   rsec/s   wsec/s avgrq-sz avgqu-sz   await svctm %util
sda               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda2              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda3              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda4              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda5              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda6              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sda7              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdb1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdc              25.00     0.00 61.00 4.00 36304.00   120.00   560.37     9.58 156.23 14.78 96.10
sdc1             25.00     0.00 61.00 4.00 36304.00   120.00   560.37     9.58 156.23 14.78 96.10
sdd              23.00     0.00 82.00 1.00 34832.00    32.00   420.05     7.61 163.49 11.27 93.50
sdd1             23.00     0.00 82.00 1.00 34832.00    32.00   420.05     7.61 163.49 11.27 93.50
sde              27.00     0.00 62.00 0.00 32864.00     0.00   530.06     9.41 149.56 16.15 100.10
sde1             27.00     0.00 62.00 0.00 32864.00     0.00   530.06     9.41 149.56 16.15 100.10
sdf              17.00     0.00 101.00 4.00 42656.00   132.00   407.50     4.18   88.24   6.72 70.60
sdf1             17.00     0.00 101.00 4.00 42656.00   132.00   407.50     4.18   88.24   6.72 70.60
sdg               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdg1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdh               0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00
sdh1              0.00     0.00 0.00 0.00     0.00     0.00     0.00     0.00    0.00   0.00   0.00Regards,
Nayagan
Edited by: nayagan on Jan 27, 2010 12:23 PM
Edited by: nayagan on Jan 27, 2010 2:04 PM

Two points:
1. I can not read what you posted because you did not read the FAQ (upper right) and put tags around the listing so it would retain its formatting.
2. Even if I could read them I wouldn't as they are not necessarily relevant. What I would want to see is what query you are issuing that you think should be maxing out your disk subsystem and giving you the performance you expect. Single block reads read single blocks. Post the DML and the corresponding explain plan report generated using DBMS_XPLAN.DISPLAY or AUTOTRACE. Also the result of this statement in SQL*Plus.show arraysize
Because this is precisely what is going to be brought back with each round trip between the client (SQL*Plus) and the server.

Help needed in Performance Tuning

Version : 2008 R2
Hi,
I am trying to build a salable proc which does the computation logic and currently i have 50k user. I am thinking in future perspective and targeting this logic for 500k users.
Sample table schema and test data
create table Comp_Detail(IDcompDetail int identity(1,1) primary key,IDcompAFR int,CompID int default 1050,UserId bigint,
TransferAmount money, processStatus bit default 0,AmtTransferDate datetime);
--===== Create and populate the balance table on-the-fly
;WITH
cteRowSource1 AS
SELECT TOP 500000
N = ROW_NUMBER() OVER (ORDER BY (SELECT NULL))
FROM master.sys.all_columns ac1
CROSS JOIN master.sys.all_columns ac2
INSERT into Comp_Detail(IDcompAFR,CompID,UserId,TransferAmount)
SELECT 1000, 1050,
UserId = ISNULL(N,0)
,TransferAmount = N*10
FROM cteRowSource1
-- select * from Comp_Detail
--===== Create and populate the balance table on-the-fly
Create table User_bank(IDUserBank int identity(1,1) primary key, UserId bigint,Amount_Pend money,Amount_Available money,
LastModDt datetime);
;WITH
cteRowSource AS
SELECT TOP 500000
N = ROW_NUMBER() OVER (ORDER BY (SELECT NULL))
FROM master.sys.all_columns ac1
CROSS JOIN master.sys.all_columns ac2
Insert into User_bank(UserId,Amount_Pend,Amount_Available)
SELECT UserId = ISNULL(N,0)
,PendingAmount = N*10
,AvailableAmount = N*2
FROM cteRowSource
;-- select * from member_balance;
update Comp_Detail set IDcompAFR = 1001 where IDcompDetail > 10000 and IDcompDetail < 20000 ;
update Comp_Detail set IDcompAFR = 1002 where IDcompDetail > 20000 and IDcompDetail < 30000;
update Comp_Detail set IDcompAFR = 1003 where IDcompDetail > 30000 and IDcompDetail < 40000;
update Comp_Detail set IDcompAFR = 1004 where IDcompDetail > 40000 and IDcompDetail <50000;
update Comp_Detail set IDcompAFR = 1005 where IDcompDetail > 50000 and IDcompDetail < 60000;
My logic below,
Declare @CompID int = 1050;
BEGIN
-- Check if any data available to be processed
IF EXISTS (
SELECT TOP 1 IDcompAFR
FROM Comp_Detail
WHERE CompID = @CompID
AND coalesce(processStatus, 0) = 0
BEGIN
BEGIN TRY
-- Set it so if the first UPDATE fails, we won't even start the second update.This really says "If we're in a transaction
-- and something fails, stop processing the transaction and do a rollback if we can".
SET XACT_ABORT ON;
-- temp variable to hold the actual data. this will be used to get IDcompAFR once the balance updated
DECLARE @ActualData TABLE (
UserId BIGINT
,IDcompAFR BIGINT
,ProcessingAmount MONEY
-- table variable to capture the Affected UserId's
DECLARE @AffecedRecords TABLE (UserId BIGINT);
BEGIN TRANSACTION;
-- Get the whole data to be processed.
INSERT INTO @ActualData (
UserId
,IDcompAFR
,ProcessingAmount
SELECT UserId
,IDcompAFR
,ProcessingAmount = COALESCE(TransferAmount, 0)
FROM Comp_Detail
WHERE CompID = @CompID
AND coalesce(processStatus, 0) = 0
-- Aggregare the ProcessingAmount based on UserId
WITH AggregateData
AS (
SELECT UserId
,ProcessingAmount = SUM(COALESCE(ProcessingAmount, 0))
FROM @ActualData
GROUP BY UserId
--Do the Amount update and capture the UserId that are affected.
UPDATE UB
SET UB.Amount_Available = COALESCE(UB.Amount_Available, 0) + AD.ProcessingAmount
,UB.Amount_Pend = COALESCE(UB.Amount_Pend, 0) - AD.ProcessingAmount
,LastModDt = getdate()
OUTPUT deleted.UserId
INTO @AffecedRecords(UserId)
FROM User_bank UB
INNER JOIN AggregateData AD ON UB.UserId = AD.UserId;
--===== Using the captured UserId get the IDcompAFR from @ActualData temp variable
-- and then update the processStatus = 1
--- means OFR processed for the trip .
UPDATE Comp_Detail
SET processStatus = 1
,AmtTransferDate = getdate()
WHERE IDcompAFR IN (
SELECT DISTINCT AD.IDcompAFR
FROM @ActualData AD
INNER JOIN @AffecedRecords AR ON (AD.UserId = AR.UserId)
AND processStatus = 0;
COMMIT TRANSACTION;
END TRY
BEGIN CATCH
DECLARE @ErrorMessage NVARCHAR(4000);
DECLARE @ErrorSeverity INT;
DECLARE @ErrorState INT;
SELECT @ErrorMessage = ERROR_MESSAGE()
,@ErrorSeverity = ERROR_SEVERITY()
,@ErrorState = ERROR_STATE();
ROLLBACK TRANSACTION;
RAISERROR (
@ErrorMessage
,@ErrorSeverity
,@ErrorState
END CATCH;
END
END
GO
the query logic takes 20 + minutes and it keeps on running. not sure what mistake i did. any suggestion to improve the speed please
loving dotnet

Hi Erland,
I understand your concern. Isprocessed is a not null column. I tried to replace the temp variable with temp table and for 500k records it tool 31 seconds. Here is my latest try,
Declare @CompID int = 1050;
BEGIN
-- Check if any data available to be processed
IF EXISTS (
SELECT TOP 1 IDcompAFR
FROM Comp_Detail
WHERE CompID = @CompID
AND coalesce(processStatus, 0) = 0
BEGIN
BEGIN TRY
-- Set it so if the first UPDATE fails, we won't even start the second update.This really says "If we're in a transaction
-- and something fails, stop processing the transaction and do a rollback if we can".
SET XACT_ABORT ON;
--Create a table to remember the rows we updated.
IF OBJECT_ID('tempdb..#ActualData') IS NOT NULL
BEGIN
DROP TABLE #ActualData;
END
IF OBJECT_ID('tempdb..#AffecedRecords') IS NOT NULL
BEGIN
DROP TABLE #AffecedRecords;
END
CREATE TABLE #ActualData(UserId BIGINT
,IDcompAFR BIGINT
,ProcessingAmount MONEY);
Create table #AffecedRecords (UserId BIGINT);
-- temp variable to hold the actual data. this will be used to get IdcompanyOFR once the balance updated
--DECLARE @ActualData TABLE (
-- UserId BIGINT
-- ,IDcompAFR BIGINT
-- ,ProcessingAmount MONEY
-- table variable to capture the Affected UserId's
--DECLARE @AffecedRecords TABLE (UserId BIGINT);
BEGIN TRANSACTION;
-- Get the whole data to be processed.
INSERT INTO #ActualData (
UserId
,IDcompAFR
,ProcessingAmount
SELECT UserId
,IDcompAFR
,ProcessingAmount = COALESCE(TransferAmount, 0)
FROM Comp_Detail
WHERE CompID = @CompID
AND coalesce(processStatus, 0) = 0
-- Aggregare the ProcessingAmount based on UserId
WITH AggregateData
AS (
SELECT UserId
,ProcessingAmount = SUM(COALESCE(ProcessingAmount, 0))
FROM #ActualData
GROUP BY UserId
--Do the balance update and capture the UserId that are affected.
UPDATE UB
SET UB.Amount_Available = COALESCE(UB.Amount_Available, 0) + AD.ProcessingAmount
,UB.Amount_Pend = COALESCE(UB.Amount_Pend, 0) - AD.ProcessingAmount
,LastModDt = getdate()
OUTPUT deleted.UserId
INTO #AffecedRecords(UserId)
FROM User_bank UB
INNER JOIN AggregateData AD ON UB.UserId = AD.UserId;
--===== Using the captured UserId get the IDcompAFR from @ActualData temp variable
-- and then update the processStatus = 1
--- means OFR processed for the trip .
UPDATE Comp_Detail
SET processStatus = 1
,AmtTransferDate = getdate()
WHERE IDcompAFR IN (
SELECT DISTINCT AD.IDcompAFR
FROM #ActualData AD
INNER JOIN #AffecedRecords AR ON (AD.UserId = AR.UserId)
AND processStatus = 0;
COMMIT TRANSACTION;
END TRY
BEGIN CATCH
DECLARE @ErrorMessage NVARCHAR(4000);
DECLARE @ErrorSeverity INT;
DECLARE @ErrorState INT;
DROP TABLE #ActualData;
DROP TABLE #AffecedRecords;
SELECT @ErrorMessage = ERROR_MESSAGE()
,@ErrorSeverity = ERROR_SEVERITY()
,@ErrorState = ERROR_STATE();
ROLLBACK TRANSACTION;
RAISERROR (
@ErrorMessage
,@ErrorSeverity
,@ErrorState
END CATCH;
END
END
GO
--select * from Comp_Detail
--select * from User_bank
Can you please help me if we could still speed up the query? I would still request to post the modified code if you have any other way to tune this logic.
thanks
loving dotnet

Need OES Performance tuning steps for 10g

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