COOIS or Most Efficient Report for Inspection Rework/Rejects
I need to prepare a report to show the total number of rework/rejects and inspection over-runs, for the last three years, against a few cost centers. I would like to utilize COOIS....how? If COOIS isn't the best way, please advise! Thanks!!
Dear ,
If you are dealing with rejection or rework from Qulaity management stand point i would rather say please look ton following :
1.You check in the following tcodes MCXX,MCXB,MCXD
2.Pls. Check in Tcode : QE51N ( Inspection Results Recording).
3.You can get the cost report in KOB1 agaist order
4.Some of the reports are COOIS, CO28, MMBE, MB51, MB5B.
Also advice you to execute t code SAP1, you will list of available standard reports in SAP of all modules.
Evaluate the same. You requirement can be fullfilled by those reports.
If you do not find suitable reports for some of the requirements then you can think of developed reports.
Take help from you ABAP consultant.
Hope this helps you.
Regards
JH
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STATSPACK report for
Database DB Id Instance Inst Num Startup Time Release RAC
~~~~~~~~ ----------- ------------ -------- --------------- ----------- ---
700000XXX XXX 1 22-Apr-15 12:12 11.2.0.4.0 NO
Host Name Platform CPUs Cores Sockets Memory (G)
~~~~ ---------------- ---------------------- ----- ----- ------- ------------
dXXXX_XXX AIX-Based Systems (64- 2 1 0 16.0
Snapshot Snap Id Snap Time Sessions Curs/Sess Comment
~~~~~~~~ ---------- ------------------ -------- --------- ------------------
Begin Snap: 5635 22-Apr-15 13:00:02 114 4.6
End Snap: 5636 22-Apr-15 14:00:01 128 8.8
Elapsed: 59.98 (mins) Av Act Sess: 0.6
DB time: 35.98 (mins) DB CPU: 19.43 (mins)
Cache Sizes Begin End
~~~~~~~~~~~ ---------- ----------
Buffer Cache: 2,064M Std Block Size: 8K
Shared Pool: 3,072M Log Buffer: 13,632K
Load Profile Per Second Per Transaction Per Exec Per Call
~~~~~~~~~~~~ ------------------ ----------------- ----------- -----------
DB time(s): 0.6 0.0 0.00 0.00
DB CPU(s): 0.3 0.0 0.00 0.00
Redo size: 458,720.6 8,755.7
Logical reads: 12,874.2 245.7
Block changes: 1,356.4 25.9
Physical reads: 6.6 0.1
Physical writes: 61.8 1.2
User calls: 2,033.7 38.8
Parses: 286.5 5.5
Hard parses: 0.5 0.0
W/A MB processed: 1.7 0.0
Logons: 1.2 0.0
Executes: 801.1 15.3
Rollbacks: 6.1 0.1
Transactions: 52.4
Instance Efficiency Indicators
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Buffer Nowait %: 100.00 Redo NoWait %: 100.00
Buffer Hit %: 99.98 Optimal W/A Exec %: 100.00
Library Hit %: 99.77 Soft Parse %: 99.82
Execute to Parse %: 64.24 Latch Hit %: 99.98
Parse CPU to Parse Elapsd %: 53.15 % Non-Parse CPU: 98.03
Shared Pool Statistics Begin End
Memory Usage %: 10.50 12.79
% SQL with executions>1: 69.98 78.37
% Memory for SQL w/exec>1: 70.22 81.96
Top 5 Timed Events Avg %Total
~~~~~~~~~~~~~~~~~~ wait Call
Event Waits Time (s) (ms) Time
CPU time 847 50.2
enq: TX - row lock contention 4,480 434 97 25.8
log file sync 284,169 185 1 11.0
log file parallel write 299,537 164 1 9.7
log file sequential read 698 16 24 1.0
Host CPU (CPUs: 2 Cores: 1 Sockets: 0)
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1.16 1.84 19.28 14.51 66.21 1.20 82.01
Instance CPU
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Host: Busy CPU time (s): 2,430.7
% of time Host is Busy: 33.8
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% of Busy CPU used for Instance: 49.5
Instance: Total Database time (s): 2,426.4
%DB time waiting for CPU (Resource Mgr): 0.0
Memory Statistics Begin End
~~~~~~~~~~~~~~~~~ ------------ ------------
Host Mem (MB): 16,384.0 16,384.0
SGA use (MB): 7,136.0 7,136.0
PGA use (MB): 282.5 361.4
% Host Mem used for SGA+PGA: 45.3 45.8
Foreground Wait Events DB/Inst: XXXXXs Snaps: 5635-5636
-> Only events with Total Wait Time (s) >= .001 are shown
-> ordered by Total Wait Time desc, Waits desc (idle events last)
Avg %Total
%Tim Total Wait wait Waits Call
Event Waits out Time (s) (ms) /txn Time
enq: TX - row lock contentio 4,480 0 434 97 0.0 25.8
log file sync 284,167 0 185 1 1.5 11.0
Disk file operations I/O 8,741 0 4 0 0.0 .2
direct path write 13,247 0 3 0 0.1 .2
db file sequential read 6,058 0 1 0 0.0 .1
buffer busy waits 1,800 0 1 1 0.0 .1
SQL*Net more data to client 29,161 0 1 0 0.2 .1
direct path read 7,696 0 1 0 0.0 .0
db file scattered read 316 0 1 2 0.0 .0
latch: shared pool 144 0 0 2 0.0 .0
CSS initialization 30 0 0 3 0.0 .0
cursor: pin S 10 0 0 9 0.0 .0
row cache lock 41 0 0 2 0.0 .0
latch: row cache objects 19 0 0 3 0.0 .0
log file switch (private str 8 0 0 7 0.0 .0
library cache: mutex X 28 0 0 2 0.0 .0
latch: cache buffers chains 54 0 0 1 0.0 .0
latch free 290 0 0 0 0.0 .0
control file sequential read 1,568 0 0 0 0.0 .0
log file switch (checkpoint 4 0 0 6 0.0 .0
direct path sync 8 0 0 3 0.0 .0
latch: redo allocation 60 0 0 0 0.0 .0
SQL*Net break/reset to clien 34 0 0 1 0.0 .0
latch: enqueue hash chains 45 0 0 0 0.0 .0
latch: cache buffers lru cha 7 0 0 2 0.0 .0
latch: session allocation 5 0 0 1 0.0 .0
latch: object queue header o 6 0 0 1 0.0 .0
ASM file metadata operation 30 0 0 0 0.0 .0
latch: In memory undo latch 15 0 0 0 0.0 .0
latch: undo global data 8 0 0 0 0.0 .0
SQL*Net message from client 6,362,536 0 278,225 44 33.7
jobq slave wait 7,270 100 3,635 500 0.0
SQL*Net more data from clien 7,976 0 15 2 0.0
SQL*Net message to client 6,362,544 0 8 0 33.7
Background Wait Events DB/Inst: XXXXXs Snaps: 5635-5636
-> Only events with Total Wait Time (s) >= .001 are shown
-> ordered by Total Wait Time desc, Waits desc (idle events last)
Avg %Total
%Tim Total Wait wait Waits Call
Event Waits out Time (s) (ms) /txn Time
log file parallel write 299,537 0 164 1 1.6 9.7
log file sequential read 698 0 16 24 0.0 1.0
db file parallel write 9,556 0 13 1 0.1 .8
os thread startup 146 0 10 70 0.0 .6
control file parallel write 2,037 0 2 1 0.0 .1
Log archive I/O 35 0 1 30 0.0 .1
LGWR wait for redo copy 2,447 0 0 0 0.0 .0
db file async I/O submit 9,556 0 0 0 0.1 .0
db file sequential read 145 0 0 2 0.0 .0
Disk file operations I/O 349 0 0 0 0.0 .0
db file scattered read 30 0 0 4 0.0 .0
control file sequential read 5,837 0 0 0 0.0 .0
ADR block file read 19 0 0 4 0.0 .0
ADR block file write 5 0 0 15 0.0 .0
direct path write 14 0 0 2 0.0 .0
direct path read 3 0 0 7 0.0 .0
latch: shared pool 3 0 0 6 0.0 .0
log file single write 56 0 0 0 0.0 .0
latch: redo allocation 53 0 0 0 0.0 .0
latch: active service list 1 0 0 3 0.0 .0
latch free 11 0 0 0 0.0 .0
rdbms ipc message 314,523 5 57,189 182 1.7
Space Manager: slave idle wa 4,086 88 18,996 4649 0.0
DIAG idle wait 7,185 100 7,186 1000 0.0
Streams AQ: waiting for time 2 50 4,909 ###### 0.0
Streams AQ: qmn slave idle w 129 0 3,612 28002 0.0
Streams AQ: qmn coordinator 258 50 3,612 14001 0.0
smon timer 43 2 3,605 83839 0.0
pmon timer 1,199 99 3,596 2999 0.0
SQL*Net message from client 17,019 0 31 2 0.1
SQL*Net message to client 12,762 0 0 0 0.1
class slave wait 28 0 0 0 0.0
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Wait Event Histogram DB/Inst: XXXX/XXXX Snaps: 5635-5636
-> Total Waits - units: K is 1000, M is 1000000, G is 1000000000
-> % of Waits - column heading: <=1s is truly <1024ms, >1s is truly >=1024ms
-> % of Waits - value: .0 indicates value was <.05%, null is truly 0
-> Ordered by Event (idle events last)
Total ----------------- % of Waits ------------------
Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s
ADR block file read 19 26.3 5.3 10.5 57.9
ADR block file write 5 40.0 60.0
ADR file lock 6 100.0
ARCH wait for archivelog l 14 100.0
ASM file metadata operatio 30 100.0
CSS initialization 30 100.0
Disk file operations I/O 9090 97.2 1.4 .6 .4 .2 .1 .1
LGWR wait for redo copy 2447 98.5 .5 .4 .2 .2 .2 .1
Log archive I/O 35 40.0 8.6 25.7 2.9 22.9
SQL*Net break/reset to cli 34 85.3 8.8 5.9
SQL*Net more data to clien 29K 99.9 .0 .0 .0 .0 .0
buffer busy waits 1800 96.8 .7 .7 .6 .3 .4 .5
control file parallel writ 2037 90.7 5.0 2.1 .8 1.0 .3 .1
control file sequential re 7405 100.0 .0
cursor: pin S 10 10.0 90.0
db file async I/O submit 9556 99.9 .0 .0 .0
db file parallel read 1 100.0
db file parallel write 9556 62.0 32.4 1.7 .8 1.5 1.3 .1
db file scattered read 345 72.8 3.8 2.3 11.6 9.0 .6
db file sequential read 6199 97.2 .2 .3 1.6 .7 .0 .0
direct path read 7699 99.1 .4 .2 .1 .1 .0
direct path sync 8 25.0 37.5 12.5 25.0
direct path write 13K 97.8 .9 .5 .4 .3 .1 .0
enq: TX - row lock content 4480 .4 .7 1.3 3.0 6.8 12.3 75.4 .1
latch free 301 98.3 .3 .7 .7
latch: In memory undo latc 15 93.3 6.7
latch: active service list 1 100.0
latch: cache buffers chain 55 94.5 3.6 1.8
latch: cache buffers lru c 9 88.9 11.1
latch: call allocation 6 100.0
latch: checkpoint queue la 3 100.0
latch: enqueue hash chains 45 97.8 2.2
latch: messages 4 100.0
latch: object queue header 7 85.7 14.3
latch: redo allocation 113 97.3 1.8 .9
latch: row cache objects 19 89.5 5.3 5.3
latch: session allocation 5 80.0 20.0
latch: shared pool 147 90.5 1.4 2.7 1.4 .7 1.4 2.0
latch: undo global data 8 100.0
library cache: mutex X 28 89.3 3.6 3.6 3.6
log file parallel write 299K 95.6 2.6 1.0 .4 .3 .2 .0
log file sequential read 698 29.5 .1 4.6 46.8 18.9
log file single write 56 100.0
log file switch (checkpoin 4 25.0 50.0 25.0
log file switch (private s 8 12.5 37.5 50.0
log file sync 284K 93.3 3.7 1.4 .7 .5 .3 .1
os thread startup 146 100.0
row cache lock 41 85.4 9.8 2.4 2.4
DIAG idle wait 7184 100.0
SQL*Net message from clien 6379K 86.6 5.1 2.9 1.3 .7 .3 2.8 .3
SQL*Net message to client 6375K 100.0 .0 .0 .0 .0 .0 .0
Wait Event Histogram DB/Inst: XXXX/xxxx Snaps: 5635-5636
-> Total Waits - units: K is 1000, M is 1000000, G is 1000000000
-> % of Waits - column heading: <=1s is truly <1024ms, >1s is truly >=1024ms
-> % of Waits - value: .0 indicates value was <.05%, null is truly 0
-> Ordered by Event (idle events last)
Total ----------------- % of Waits ------------------
Event Waits <1ms <2ms <4ms <8ms <16ms <32ms <=1s >1s
SQL*Net more data from cli 7976 99.7 .1 .1 .0 .1
Space Manager: slave idle 4086 .1 .2 .0 .0 .3 3.2 96.1
Streams AQ: qmn coordinato 258 49.2 .8 50.0
Streams AQ: qmn slave idle 129 100.0
Streams AQ: waiting for ti 2 50.0 50.0
class slave wait 28 92.9 3.6 3.6
jobq slave wait 7270 .0 100.0
pmon timer 1199 100.0
rdbms ipc message 314K 10.3 7.3 39.7 15.4 10.6 5.3 8.2 3.3
smon timer 43 100.0 -
Crystal Report for Enterprise 4.1 develop error
I user crystalreportviewer to access rpt file .
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Hi All,
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Greetings....
i have created one prodcution order of qty. 10 nos. Order has Three OPeartion.
now for confiramtion of this order i used the t-code CO15.
In CO15 Now i had confirm the qty. 5 and save the order.
In COOIS , Opeartion overview , i am gettng result as
Opeartion Yield Scrap Rework
010 5 0 0
020 5 0 0
030 5 0 0
In CO15 , Now i again enter qty 1 as Yield & qty 1 as Scrap
Now In COOIS , Opeartion overview , i am gettng result as
Opeartion Yield Scrap Rework
010 7 0 0
020 7 0 0
030 6 0 0
In CO15 , Now i again enter qty 1 as Yield & qty 1 as Scrap
NowI n COOIS , Opeartion overview , i am gettng result as
Opeartion Yield Scrap Rework
010 9 0 0
020 9 0 0
030 7 0 0
So actaully i confirm total 7 qty and 2 qty but last result showing me 9 yield for first two opeartion and corrct yield 7 at only last operation and total scrap qty is zero.
Why this result is like this ???? Where i get excat report for this confiramtion.
Thanks in Adavcne
Edited by: SAP PP on Nov 14, 2008 11:37 AMDear SAP PP,
use CO11N to confirm operation wise and to enter scarp at operation level.
suppose your ur toatal operation qty is 9 and u got 10,20 and 30operation. if u got 1 scarp in 10 and 1 scrap in 20 and 0 scrap in 30. this u enter i CO11n for opearation 10, your yield is 8 and scrap is 1, for opearation 20 ur yield qty is 7 and scrap is 1 and for final operation ur yield is 7 and scrap will be nothing. Do confirmation as above and then see in CO03 in operations it will be seen
i hope this will solve ur issue.
Regards,
Sree -
Most efficient method to process 2 million plus records from & to a Ztable
Hi All,
My requirement is as follows:
There is a table which has 20 and odd columns, and close to 2 million records.
Initially only 5 or 6 columns will have data. Now the requirement is to fetch them and populate the remaining columns of the table by looking into other tables.
Looking for the most efficient method to handle this as the data count is huge.
There should be an optimum balance between memory usage and time consumption.
Kindly share your expertise in this regard.
Thanks
ManiWrite a Program to Download the data for that table column to be filled into Local file .XLS Format.
Then Write a report for Uploading the data from the local file .XLS to database table through internal table itab.
Loop at itab .
UPDATA database table where condition of the primary fields.
endloop.
first try this in the development and testing server , then go for the Production.
But take backup of full exsisting Production data into local file and also take neccesary approvals for doing this task .
Reward Points if it is usefull..
Girish -
SPAM effectiveness report for an internal user
Years ago on a previous product, we had a report we could run which would show the SPAM effectiveness for an individual user. This was useful for associates who felt they were receiving too much SPAM, when in reality, we were stopping 99.4% of the SPAM destined for them and the 2 they received over the past month were not devastating.
I looked through the reports available from the ESAs but do not see anything similar. We are running ESA 7.6.3-019 and SMA 7.9.0-107.
ThanksHello Mark,
in general spam efficiency reports would not work for individual, mainly because the spam detection process is not only limited to the spam engine, the major work is actually done by the reputation engine. In other words, senderbase, which on average blocks more that 90% of all connection attempts, mostly from hosts with a score of -5 or worse. By default these connections are already dropped before sender and recipients are injected, so the system is not aware who the potential spam was targeted for.
You could work around this by enabling delayed HAT rejection, which would still wait until sender and recipients are injected, before disconnecting. In this case, you can check
GUI: Monitor->Incoming Mail
specify a time range, and then enter the internal user in the search field below the main table. Or leave it empty and just hit "Search" for a list of all users, the list then can be sorted by clicking on the column names. The result table will contain entries like "Total Attemted" and "Spam Detected", and of course the results can be exported as well.
Hope that is what you are looking after.
Regards,
Andreas
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