Excluding a column causes non-repeating values in 2nd table view
I have an analysis (11.1.1.5) that has these columns: Month, Country, State, City, Sales, Country Sales, Share of Country. Country Sales is a level-based measure that returns sales at the Country level. Country, State, and City are a hierarchy as you might expect.
When I display the initial Table view for this analysis, the Country Sales column shows a value on every row.
When I create a 2nd Table view and exclude the City column from that view, the Country Sales column now only shows a value for the first State within each Country. In other words, each value of Country Sales is shown only once, and is NOT repeated on each subsequent row for that country.
Any ideas if this is a bug, or if it was intentionally designed this way for some reason? Is there a way to force the values to repeat? (Green Bar / Repeat doesn't do it.)
Thank you for the responses, guys. Still no luck.
I moved the Country Sales column as Deepak suggested, both in the criteria and in the view. That didn't change the results. I also started fresh with a new analysis, and placed the columns in the suggested positions from the start. Still no change.
New information: I tried excluding State and leaving City in the table view. Got the same goofy results - Country Sales did not repeat.
More new information: I added a Brand Revenue measure to the Sample Sales subject area. Brand Revenue is defined as '1 - Revenue' at the Product Brand level. Created a similar view, and it worked fine.
I'll investigate what the differences might be between Sample Sales and my repository. Hard to imagine what it might be. My repository is very simple and straightforward.
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SQL> with t
2 as
3 (
4 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/1/2013','mm/dd/yyyy') inst_mat_date, 1 inst_seq, 0 original_inst_amt, 50 int_amt from dual
5 union all
6 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/2/2013','mm/dd/yyyy') inst_mat_date, 2 inst_seq, 0 original_inst_amt, 52 int_amt from dual
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27 )
28 select branch
29 , currency
30 , client_id
31 , loan_no
32 , inst_mat_date
33 , inst_seq
34 , original_inst_amt
35 , decode(original_inst_amt, 0, 0, sum(int_amt) over(partition by cnt)) int_amt
36 from (
37 select branch
38 , currency
39 , client_id
40 , loan_no
41 , inst_mat_date
42 , inst_seq
43 , original_inst_amt
44 , int_amt
45 , cnt
46 from t
47 model
48 dimension by
49 (
50 inst_seq
51 )
52 measures
53 (
54 branch, currency, client_id, loan_no, inst_mat_date, original_inst_amt, int_amt, 1 cnt
55 )
56 rules
57 (
58 cnt[any] = case
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60 cnt[cv()-1] + 1
61 else
62 nvl(cnt[cv()-1], cnt[cv()])
63 end
64 )
65 )
66 /
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110 2 222 100 01-JAN-13 1 0 0
110 2 222 100 02-JAN-13 2 0 0
110 2 222 100 03-JAN-13 3 0 0
110 2 222 100 04-JAN-13 4 500 246
110 2 222 100 05-JAN-13 5 0 0
110 2 222 100 06-JAN-13 6 0 0
110 2 222 100 08-JAN-13 8 600 256
110 2 222 100 07-JAN-13 7 0 0
110 2 222 100 09-JAN-13 9 0 0
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110 2 222 100 10-JAN-01 10 0 0
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. Hope I explained the question clearly and hoping to get answer soonest.
regards
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select 6,24 from dual union all
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select 9,42 from dual union all
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select 11,1 from dual union all
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select 14,1 from dual union all
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select sr_no,
val,
case
when lag(val) over(order by sr_no) >= val then 0
else 1
end start_of_group
from sample_table
select sr_no,
val,
sum(start_of_group) over(order by sr_no) rank
from t1
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4 38 2
5 32 2
6 24 2
7 12 2
8 51 3
9 42 3
10 1 3
11 1 3
SR_NO VAL RANK
12 0 3
13 0 3
14 1 4
15 1 4
15 rows selected.
SQL> SY.
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