Introduction to EVDRE

Hi all,
I'm new on SAP BPC, and i want to create a serie of customized reports, but i don't know how to create them...
You can give me access to some document, info, or anything else about Introduction to EVDRE.
I want to create a report with Account by Time, and I'm using EVDRE but my problem is that i want to insert rows in blank and when i do a refresh the rows in blank are removed.
How can i do that? I have tried inserting rows in blank and changing the RowKeyRange =EVRNG(E11:E28,E30:95)
But when i refresh the rows in blank are removed.
Please... i need some help.
Thanks in advance
Jorge Orozco

Thanks all,
I have been working these days trying to get my Input Schedule but i don't have success.
Marvin:
1. How can i make my report Static without expansion? I tried taking out MemberSet in Expansion.
2. The solution (SELF,,DEP, BAS) doesn't work for me because don't accomplish the requirements.
Patrick:
1. Before Range and After range doesn't work for me, because i want blank rows between the report.
2. I tried using EVRNG in the RowKeyRange =EVRNG(E11:E25,,E27:E199) and without Expansion, but when i do a refresh the RowKeyRange comes to =EVRNG(E11:E12,,E14:E173). ¿?
Elmer:
What is the syntax for the | in RowKeyRange?
Thanks... I need help...
Regards
Jorge Orozco

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  • BPC 7.5NW SP8 PERIODIC APP–EVDRE TOTALS USING YTD MEASURE ARE INCORRECT

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    FY2010 APR     63,828,203      
    FY2010 MAY     445,898,233      
    FY2010 JUN     377,079,009      
    FY2010 JUL     288,502,058      
    FY2010 AUG     517,947,504      
    FY2010 SEP     678,612,886      
    FY2010 OCT     593,190,135      
    FY2010 NOV     879,439,971      
    FY2010 DEC     784,580,667      
    FY2010 JAN     949,300,083      
    FY2010 TOTAL     949,300,083      
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    2010.FEB     2010.Q1     MONTH     1     20100100
    2010.MAR     2010.Q1     MONTH     2     20100200
    2010.APR     2010.Q1     MONTH     3     20100300
    2010.MAY     2010.Q2     MONTH     4     20100400
    2010.JUN     2010.Q2     MONTH     5     20100500
    2010.JUL     2010.Q2     MONTH     6     20100600
    2010.AUG     2010.Q3     MONTH     7     20100700
    2010.SEP     2010.Q3     MONTH     8     20100800
    2010.OCT     2010.Q3     MONTH     9     20100900
    2010.NOV     2010.Q4     MONTH     10     20101000
    2010.DEC     2010.Q4     MONTH     11     20101100
    2011.JAN     2010.Q4     MONTH     12     20101200
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    2010.Q2     2010.STD1     QUARTER     6     10000002
    2010.Q3     2010.STD2     QUARTER     9     10000003
    2010.Q4     2010.STD2     QUARTER     12     10000004
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    2010.STD2     2010.TOTAL           12     10000006
    2010.TOTAL           YEAR     12     10000007

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    Hi,
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    Hello,
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    Is a bit old this post but I hope that could be useful for everyone searching the same information.
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  • Evdre encountered an error while retrieving the data

    hi
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  • Introduction to regular expressions ...

    I'm well aware that there are already some articles on that topic, some people asked me to share some of my knowledge on this topic. Please take a look at this first part and let me know if you find this useful. If yes, I'm going to continue on writing more parts using more and more complicated expressions - if you have questions or problems that you think could be solved through regular expression, please post them.
    Introduction
    Oracle has always provided some character/string functions in its PL/SQL command set, such as SUBSTR, REPLACE or TRANSLATE. With 10g, Oracle finally gave us, the users, the developers and of course the DBAs regular expressions. However, regular expressions, due to their sometimes cryptic rules, seem to be overlooked quite often, despite the existence of some very interesing use cases. Beeing one of the advocates of regular expression, I thought I'll give the interested audience an introduction to these new functions in several installments.
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                UNION
               SELECT '123x'
                 FROM dual
                UNION  
               SELECT 'x123'
                 FROM dual
                UNION 
               SELECT 'y'
                 FROM dual
                UNION 
               SELECT '+789'
                 FROM dual
                UNION 
               SELECT '-789'
                 FROM dual
                UNION 
               SELECT '159-'
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                UNION 
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    To understand regular expressions, you have to "think" in regular expressions. Each regular expression tries to "fit" an available string into its pattern and returns a result beeing successful or not, depending on the function. The "art" of using regular expressions is to construct the right search pattern for a certain task. Using functions like TRANSLATE or REPLACE did already teach you using search patterns, regular expressions are just an extension to this paradigma. Another side note: most of the search patterns are placeholders for single characters, not strings.
    I'll take this example a bit further. What would happen if we would remove the "$" in our example? "$" means: (until the) end of a string. Without this, this expression would only search digits from the beginning until it encounters either another character or the end of the string. So this time, '123x' would be removed from the SELECTION since it does fit into the pattern.
    Another change: we will keep the "$" but remove the "^". This character has several meanings, but in this case it declares: (start from the) beginning of a string. Without it, the function will search for a part of a string that has only digits until the end of the searched string. 'x123' would now be removed from our selection.
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    So what if I want to look for signed integer, since "+" is also used for a search expression. Escaping is the name of the game. We'll just use '^\+[0-9]+$' Did you notice the "\" before the first "+"? This is now a search pattern for the plus sign.
    Should signed integers include negative numbers as well? Of course they should, and I'll once again use a matching character list. In this list, I don't need to do escaping, although it is possible. The result string would now look like this: '^[+-]?[0-9]+$'. Did you notice the "?"? This is another metacharacter that changes the placeholder for plus and minus to an optional placeholder, which means: if there's a "+" or "-", that's ok, if there's none, that's also ok. Only if there's a different character, then again the search pattern will fail.
    Addendum: From this on, I found a mistake in my examples. If you would have tested my old examples with test data that would have included multiple signs strings, like "--", "-+", "++", they would have been filtered by the SELECT statement. I mistakenly used the "*" instead of the "?" operator. The reason why this is a bad idea, can also be found in the user guide: the "*" meta character is defined as 0 to multiple occurrences.
    Looking at the values, one could ask the question: what about the integers with a trailing sign? Quite simple, right? Let's just add another '[+-] and the search pattern would look like this: '^[+-]?[0-9]+[+-]?$'.
    Wait a minute, what happened to the row with the column value "-1-"?
    You probably already guessed it: the new pattern qualifies this one also as a valid string. I could now split this pattern into several conditions combined through a logical OR, but there's something even better: a logical OR inside the regular expression. It's symbol is "|", the pipe sign.
    Changing the search pattern again to something like this '^[+-]?[0-9]+$|^[0-9]+[+-]?$' [1] would return now the "-1-" value. Do I have to duplicate the same elements like "^" and "$", what about more complicated, repeating elements in future examples? That's where subexpressions/grouping comes into play. If I want only certain parts of the search pattern using an OR operator, we can put those inside round brackets. '^([+-]?[0-9]+|[0-9]+[+-]?)$' serves the same purpose and allows for further checks without duplicating the whole pattern.
    Now looking for integers is nice, but what about decimal numbers? Those may be a bit more complicated, but all I have to do is again to think in (meta) characters. I'll just use an example where the decimal point is represented by ".", which again needs escaping, since it's also the place holder in regular expressions for "any character".
    Valid decimals in my example would be ".0", "0.0", "0.", "0" (integer of course) but not ".". If you want, you can test it with the TO_NUMBER function. Finding such an unsigned decimal number could then be formulated like this: from the beginning of a string we will either allow a decimal point plus any number of digits OR at least one digits plus an optional decimal point followed by optional any number of digits. Think about it for a minute, how would you formulate such a search pattern?
    Compare your solution to this one:
    '^(\.[0-9]+|[0-9]+(\.[0-9]*)?)$'
    Addendum: Here I have to use both "?" and "*" to make sure, that I can have 0 to many digits after the decimal point, but only 0 to 1 occurrence of this substrings. Otherwise, strings like "1.9.9.9" would be possible, if I would write it like this:
    '^(\.[0-9]+|[0-9]+(\.[0-9]*)*)$'Some of you now might say: Hey, what about signed decimal numbers? You could of course combine all the ideas so far and you will end up with a very long and almost unreadable search pattern, or you start combining several regular expression functions. Think about it: Why put all the search patterns into one function? Why not split those into several steps like "check for a valid decimal" and "check for sign".
    I'll just use another SELECT to show what I want to do:
    WITH t AS (SELECT '0' col1
                 FROM dual
                UNION
               SELECT '0.' 
                 FROM dual
                UNION
               SELECT '.0' 
                 FROM dual
                UNION
               SELECT '0.0' 
                 FROM dual
                UNION
               SELECT '-1.0' 
                 FROM dual
                UNION
               SELECT '.1-' 
                 FROM dual
                UNION
               SELECT '.' 
                 FROM dual
                UNION
               SELECT '-1.1-' 
                 FROM dual
    SELECT t.*
      FROM t
    ;From this select, the only rows I need to find are those with the column values "." and "-1.1-". I'll start this with a check for valid signs. Since I want to combine this with the check for valid decimals, I'll first try to extract a substring with valid signs through the REGEXP_SUBSTR function:
    NVL(REGEXP_SUBSTR(t.col1, '^([+-]?[^+-]+|[^+-]+[+-]?)$'), ' ')Remember the OR operator and the matching character collections? But several "^"? Some of the meta characters inside a search pattern can have different meanings, depending on their positions and combination with other meta characters. In this case, the pattern translates into: from the beginning of the string search for "+" or "-" followed by at least another character that is not "+" or "-". The second pattern after the "|" OR operator does the same for a sign at the end of the string.
    This only checks for a sign but not if there also only digits and a decimal point inside the string. If the search string fails, for example when we have more than one sign like in the "-1.1-", the function returns NULL. NULL and LIKE don't go together very well, so we'll just add NVL with a default value that tells the LIKE to ignore this string, in this case a space.
    All we have to do now is to combine the check for the sign and the check for a valid decimal number, but don't forget an option for the signs at the beginning or end of the string, otherwise your second check will fail on the signed decimals. Are you ready?
    Does your solution look a bit like this?
    WHERE NOT REGEXP_LIKE(NVL(REGEXP_SUBSTR(t.col1,
                               '^([+-]?[^+-]+|[^+-]+[+-]?)$'),
                           '^[+-]?(\.[0-9]+|[0-9]+(\.[0-9]*)?)[+-]?$'
                          )Now the optional sign checks in the REGEXP_LIKE argument can be added to both ends, since the SUBSTR won't allow any string with signs on both ends. Thinking in regular expression again.
    Continued in Introduction to regular expressions ... continued.
    C.
    Fixed some embarrassing typos ... and mistakes.
    cd

    Excellent write up CD. Very nice indeed. Hopefully you'll be completing parts 2 and 3 some time soon. And with any luck, your article will encourage others to do the same....I know there's a few I'd like to see and a few I'd like to have a go at writing too :-)

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    I agree that it's hard to find good getting started training materials in the FrameMaker package that you buy. Some versions of FrameMaker were shipped with a training disk, or with training materials on the main disk. I'm not sure if recent versions do.
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    Search Google for terms like "adobe.tv framemaker tutorial," "free online video training framemaker," and "framemaker training resources" without quotes for some good links. These searches include content from the official adobe.com site as well as others.
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    HTH
    Regards,
    Peter
    Peter Gold
    KnowHow ProServices

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    Message was edited by:
    wbeaureg

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