Why quality sytem disk space should be the same as Production disk space

Hi All,
Why quality sytem disk space should be the same as Production system disk space. Please give few points and also the impact if the disk spaces are not same. Its URGENT.

Karunakar,
It all depends on what you do with your QA system. I personally don't think QA and Prod should be of the same size.
QA is your testing environment, the one where you perform the final tests and validations before going to Prod.
In my personal experience and practice, for QA:
- Daily loads of Master Data - Master Data is good to keep it updated, for obvious reasons
- No daily transactions loads - You can load your transaction data on demand, depending on the specific area you need to test. You can initialize and load sample periods or sets of data. Once you're done, that's it.
- No copy from BW Prod to QA - You really don't need to. As far as they do "refresh" from R/3 Prod to R/3 QA, you'll have data in QA good enough to test. Also, copying Prod to QA in BW can mess your transports sequence and put the systems out of sync or make you re-transport requests that were already in QA but not in Prod. Also, by doing those copies, it's like having two Production systems to maintain... Your landscape and maintenance costs will grow much faster
In my opinion, Development and QA have a controlled growing, following those guidelines. Only Prod will keep growing during time, which makes sense.
My 2 cents...
Regards,
Luis

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2 queries should return the same result (but they dont...)

hello
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select col1,extract(year from datum) yr, COUNT(*)
from tableA@dblink where
DATUM between '1-jan-1985' and '31-dec-2012'
and col2 > 100 and col2 not in ('999999')
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however when i put the filter directly into this year the query returns a different number: 143 917
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DATUM between '1-jan-1991' and '31-dec-1991'
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and TRIM(TO_CHAR(col1)) in ('0','1')
group by col1,extract(year from DATUM);please can you help me understand why is this happening and why these 2 counts are different?
id appreciate any tips
thanks very much
rgds

UserMB wrote:
please can you help me understand why is this happening and why these 2 counts are different?
id appreciate any tipsThis is tricky. All others of cause are right. You must compare date columns with date values.
If you don't explicitly compare as a date value, then it might happen that a string comparison is made.
And if that happens both of your counts would return a wrong result. For example all dates that start with
'4' are not counted. Like '4-jan-1991'. The string '4-jan-1991' is greater then the string '31-dec-1991'. Therefore it would not be included in the count.
I don't think this happened. But the danger is there.
However I have a problem seeing, what the difference between your two counts can be.
The two important parts are the date between filter and the group by condition.
DATUM between '1-jan-1985' and '31-dec-2012'
DATUM between '1-jan-1991' and '31-dec-1991'
group by col1,extract(year from DATUM);The second option returns less results than the first option. Some rows must be missing because of this different filter condition.
If this would be a text comparison then there shouldn't be a difference. Only if it is a date comparison then this could be explained.
Here is an example:
Dates like 31-dec-1991 17:53:14 are included in the first count+group, but not included in the second count.
Why? Because the string '31-dec-1991' is converted into a date. This date is 31-dec-1991 00:00:00 (midnight). Everything from this day, that is not exactly on midnight is greater than this value and therefore not included in your second query.
So as others already pointed out you need to either truncate the date or to compare it a little differently.
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from tableA@dblink
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group by col1,extract(year from DATUM);This should give the same result as your first query.
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Edited by: Sven W. on Oct 9, 2012 2:04 PM

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Message was edited by:
user627791
Message was edited by:
user627791

Hi Murali,
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I couldn't get it....

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Why quality sytem disk space should be the same as Production disk space

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