format number according to the scope mask
Hello
How can I set the format number mask in a function with a subtraction, please?
Example: <? xdofx:amount1 - amount2? >
I tried without success:
<? xdofx:amount1 - amount2:' #, # 0.00'? >
<? xdofx:amount1 - amount2. » ##, ## 0.00' ? >
<? xdofx:amount1 - amount2,' #, # 0.00'? >
Could you please what is the correct syntax?
Thank you
Adriana
Thanks for your answers, but the provisions still gave me a rendering error.
I think that Oracle format functions allow you just to place a variable. It's my problem that I need to format subtraction. Who could confirm this syntax?
Thank you
Adriana
It was a syntax problem, after all, I just need to use ' ' as delimiters for the variables!
These examples of return values.
Tags: Business Intelligence
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Update from the field with consecutive number according to the number of entries
Hello
I need to update a field with a consecutive number according to the number of lines where the entries are made which go hand in hand. What it means:
I have
SYSAUSPR AREA SYSGEBIET TYP RANG
182925 600003 4 1 PERSON
1 600004 4 1 PERSON
2 600004 4 1 PERSON
3 600004 4 1 PERSON
17 600004 4 1 PERSON
18 600022 4 1 PERSON
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NO 7 600169 4 1
8 600169 4 1 PEOPLE
9 600169 4 1 PERSON
12 600169 4 1 PEOPLE
14 600169 4 1 PERSON
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23 600182 4 1 PERSON
I need to change column "RANK" of 1 the number of records that have the same id in the "SYSGEBIET" column (from this example with 600) so that it looks like
SYSAUSPR AREA SYSGEBIET TYP RANG
182925 600003 4 1 PERSON
1. NOBODY 600004 4 * 1 *.
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17. NO 600004 4 * 4 *.
18. NO 600022 4 * 1 *.
Does anyone has an idea how to solve this problem in an update statement?
Thanks for your help
Best regards
CarstenSQL> select * 2 from tbl 3 / SYSAUSPR GEBIET SYSGEBIET TYP RANG ---------- ------ ---------- ---------- ---------- 1 PERSON 600004 4 1 2 PERSON 600004 4 1 3 PERSON 600004 4 1 17 PERSON 600004 4 1 18 PERSON 600022 4 1 182864 PERSON 600079 4 1 184082 PERSON 600092 4 1 182774 PERSON 600143 4 1 183237 PERSON 600165 4 1 7 PERSON 600169 4 1 8 PERSON 600169 4 1 SYSAUSPR GEBIET SYSGEBIET TYP RANG ---------- ------ ---------- ---------- ---------- 9 PERSON 600169 4 1 12 PERSON 600169 4 1 14 PERSON 600169 4 1 184309 PERSON 600179 4 1 23 PERSON 600182 4 1 16 rows selected. merge into tbl t using ( select sysgebiet, sysauspr, row_number() over(partition by sysgebiet order by sysauspr) rang from tbl where sysgebiet like '600%' ) u on ( u.sysgebiet = t.sysgebiet and u.sysauspr = t.sysauspr ) when matched then update set t.rang = u.rang / 16 rows merged. SQL> select * 2 from tbl 3 / SYSAUSPR GEBIET SYSGEBIET TYP RANG ---------- ------ ---------- ---------- ---------- 1 PERSON 600004 4 1 2 PERSON 600004 4 2 3 PERSON 600004 4 3 17 PERSON 600004 4 4 18 PERSON 600022 4 1 182864 PERSON 600079 4 1 184082 PERSON 600092 4 1 182774 PERSON 600143 4 1 183237 PERSON 600165 4 1 7 PERSON 600169 4 1 8 PERSON 600169 4 2 SYSAUSPR GEBIET SYSGEBIET TYP RANG ---------- ------ ---------- ---------- ---------- 9 PERSON 600169 4 3 12 PERSON 600169 4 4 14 PERSON 600169 4 5 184309 PERSON 600179 4 1 23 PERSON 600182 4 1 16 rows selected. SQL>
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Error number according to the sum
$88.00
$0.00
$88.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$85.70
$0.00
$85.70
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$525.00
$525.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$375.00
$375.00
$0.00
$0.00
$410.00
$325.00
$85.00
$0.00
$550.00
$550.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$300.00
$300.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$400.00
$400.00
$0.00
$0.00
$420.00
$420.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$280.00
$280.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$400.00
$400.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$355,00
$275.00
$80.00
$0.00
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$275.00
$0.00
$0.00
$300.00
$300.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$300.00
$300.00
$0.00
$0.00
$300.00
$300.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$300.00
$300.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$93.00
$0.00
$93.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$550.00
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$0.00
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$50.00
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$500.00
$0.00
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$500.00
$500.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$240.00
$145.00
$95.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$450.00
$450.00
$0.00
$0.00
$280.00
$280.00
$0.00
$0.00
$500.00
$500.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$280.00
$280.00
$0.00
$0.00
$270.00
$270.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$300.00
$300.00
$0.00
$0.00
$250.00
$250.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$375.00
$275.00
$100.00
$0.00
$300.00
$300.00
$0.00
$0.00
$250.00
$250.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$275.00
$275.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$112.00
$0.00
$112.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$108.00
$0.00
$108.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$102,00
$0.00
$102,00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$134.00
$0.00
$134.00
$0.00
$200.00
$200.00
$0.00
$0.00
$350.00
$350.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$100.00
$100.00
$0.00
$0.00
$450.00
$450.00
$0.00
$0.00
$550.00
$550.00
$0.00
$0.00
$44282,70
$42565,40
$1167,30
$550.00
I the sum vertically downwards, but when I do my check is not. I guess to get $0 corresponding to the sum of $550.
Hi Henry,.
What is the formula in the cell with the Red 550? (Copy and paste in the document, please, not transcribed by hand).
What, in the line number of the line that is the last to contain this set of values: $100.00 $100.00, $0.00, $0.00?
Respect,
Barry
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__________________
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Published by: orausern on June 14, 2011 11:52
Published by: orausern on June 14, 2011 11:53
Published by: orausern on June 14, 2011 11:55Yes, it restricts access to the data. But as I said earlier, this is what it looks like you really want to do. You want to allow only one type of session to view data (sessions created by your application). You want to prevent other types of sessions to see the data (sessions created by developers using SQL * more). You can encode any restriction you would like in your policy VPD.
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