SQL to sum a column while avoiding repeating values

Dear All
i have this table called Loans_installments that contains the client's loan installments.
a sample of data:
branch currency client_id loan_no inst_mat_date inst_seq original_inst_amt int_amt
110 2 222 100 1/1/2013 1 0 50
110 2 222 100 1/2/2013 2 0 52
110 2 222 100 1/3/2013 3 0 54
110 2 222 100 1/4/2013 4 500 90
110 2 222 100 1/5/2013 5 0 50
110 2 222 100 1/6/2013 6 0 51
110 2 222 100 1/7/2013 7 0 50
110 2 222 100 1/8/2013 8 600 105
110 2 222 100 1/9/2013 9 0 50
110 2 222 100 1/10/2013 10 0 54
110 2 222 100 1/11/2013 11 0 50
110 2 222 100 1/12/2013 12 700 120
now what i want to sum the field int_amt based on original_inst_amt value (0 or has a value) and put the result on the int_amt that has an orig_inst_amt value <>0.
the result should be like this:
branch currency client_id loan_no inst_mat_date inst_seq original_inst_amt int_amt
110 2 222 100 1/1/2013 1 0 0
110 2 222 100 1/2/2013 2 0 0
110 2 222 100 1/3/2013 3 0 0
110 2 222 100 1/4/2013 4 500 246
110 2 222 100 1/5/2013 5 0 0
110 2 222 100 1/6/2013 6 0 0
110 2 222 100 1/7/2013 7 0 0
110 2 222 100 1/8/2013 8 600 256
110 2 222 100 1/9/2013 9 0 0
110 2 222 100 1/10/2013 10 0 0
110 2 222 100 1/11/2013 11 0 0
110 2 222 100 1/12/2013 12 700 274
any help plz.

Using model clause
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
7 union all
8 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/3/2013','mm/dd/yyyy') inst_mat_date, 3 inst_seq, 0   original_inst_amt, 54 int_amt from dual
9 union all
10 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/4/2013','mm/dd/yyyy') inst_mat_date, 4 inst_seq, 500 original_inst_amt, 90 int_amt from dual
11 union all
12 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/5/2013','mm/dd/yyyy') inst_mat_date, 5 inst_seq, 0   original_inst_amt, 50 int_amt from dual
13 union all
14 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/6/2013','mm/dd/yyyy') inst_mat_date, 6 inst_seq, 0   original_inst_amt, 51 int_amt from dual
15 union all
16 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/7/2013','mm/dd/yyyy') inst_mat_date, 7 inst_seq, 0   original_inst_amt, 50 int_amt from dual
17 union all
18 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/8/2013','mm/dd/yyyy') inst_mat_date, 8 inst_seq, 600 original_inst_amt, 105 int_amt from dual
19 union all
20 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/9/2013','mm/dd/yyyy') inst_mat_date, 9 inst_seq, 0   original_inst_amt, 50 int_amt from dual
21 union all
22 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/10/201','mm/dd/yyyy') inst_mat_date, 10 inst_seq, 0   original_inst_amt, 54 int_amt from dual
23 union all
24 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/11/201','mm/dd/yyyy') inst_mat_date, 11 inst_seq, 0   original_inst_amt, 50 int_amt from dual
25 union all
26 select 110 branch, 2 currency, 222 client_id, 100 loan_no, to_date('1/12/201','mm/dd/yyyy') inst_mat_date, 12 inst_seq, 700 original_inst_amt, 120 int_amt from dual
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
59                                   when original_inst_amt[cv()-1] > 0 then
60                                      cnt[cv()-1] + 1
61                                   else
62                                      nvl(cnt[cv()-1], cnt[cv()])
63                               end
64             )
65         )
66 /
    BRANCH   CURRENCY CLIENT_ID    LOAN_NO INST_MAT_   INST_SEQ ORIGINAL_INST_AMT    INT_AMT
       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
       110          2        222        100 11-JAN-01         11                 0          0
       110          2        222        100 10-JAN-01         10                 0          0
       110          2        222        100 12-JAN-01         12               700        274
12 rows selected.
SQL>

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Execution Plan
Plan hash value: 1608298493
| Id | Operation           | Name               | Rows | Bytes | Cost (%CPU)| Time     |
|   0 | SELECT STATEMENT    |                    |     1 |    19 |     1   (0)| 00:00:01 |
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|   2 |   UNION-ALL         |                    |       |       |            |          |
|* 3 |    FILTER           |                    |       |       |            |          |
|* 4 |     INDEX RANGE SCAN| PK_LOCATION_FRANCE |     1 |    19 |     2   (0)| 00:00:01 |
|* 5 |    INDEX RANGE SCAN | PK_LOCATION_UK     |     1 |    19 |     2   (0)| 00:00:01 |
|* 6 |    FILTER           |                    |       |       |            |          |
|* 7 |     INDEX RANGE SCAN| PK_LOCATION_SPAIN |     1 |    19 |     2   (0)| 00:00:01 |
Predicate Information (identified by operation id):
   3 - filter(NULL IS NOT NULL)
   4 - access("COUNTRY"='UK')
   5 - access("COUNTRY"='UK')
   6 - filter(NULL IS NOT NULL)
   7 - access("COUNTRY"='UK')
Note
   - dynamic sampling used for this statement (level=2)
SQL>Oracle provides a number of methods to address flawed data models and problematic client code. However, despite this flexibility on Oracle's part, you should still consider fixing the flawed design and code - as that flaws invariable mean reducing flexibility, performance and scalability.

Error importing text file into SQL Server when last column is null

Hello all. Happy holidays!
I'm trying to import a text file into a SQL Server table, and I get the error below when it gets to a row (row 264) that has null in the last column. I'm guessing the null jumbles up the delimiters somehow. The nulls are not errors, and I need to import
them into the table with the rest of the rows. Any idea how I can do that?
Thanks!
[Flat File Source [1]] Error: Data conversion failed. The data conversion for column "XYZ" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".
[Flat File Source [1]] Error: SSIS Error Code DTS_E_INDUCEDTRANSFORMFAILUREONERROR. The "output column "XYZ" (178)" failed because error code 0xC0209084 occurred, and the error row disposition on "output column "XYZ"
(178)" specifies failure on error. An error occurred on the specified object of the specified component. There may be error messages posted before this with more information about the failure.
[Flat File Source [1]] Error: An error occurred while processing file "ABC.txt" on data row 264.
[SSIS.Pipeline] Error: SSIS Error Code DTS_E_PRIMEOUTPUTFAILED. The PrimeOutput method on component "Flat File Source" (1) returned error code 0xC0202092. The component returned a failure code when the pipeline engine called PrimeOutput().
The meaning of the failure code is defined by the component, but the error is fatal and the pipeline stopped executing. There may be error messages posted before this with more information about the failure.
WeeLass

Hi WeeLass,
The error that” Data conversion failed. The data conversion for column "XYZ" returned status value 2 and status text "The value could not be converted because of a potential loss of data.".” is generally error message, and the error indicates
that there is data type mismatch issue between the input columns and the output columns.
Based on your description, the issue is that you trying to convert a column contains empty value from string to integer data type for the output column "XYZ" in Flat File Source [1]. Please note that we cannot type an empty value as integer data
type column value, so the error occurs.
To fix this issue, just as you did, we should convert the data type for the output column "XYZ" in Flat File Source [1] back to DT_WSTR or DT_STR, then use a derived column task to replace the current column (UBPKE542). But the expression should
be like below:
LEN(TRIM(UBPKE542)) > 0 ? (DT_I8)UBPKE542 : NULL(DT_I8)
In this way, the data type of the column in SQL table would be int, and the empty value would be replaced with NULL.
If there are any other questions, please feel free to ask.
Thanks,
Katherine Xiong
Katherine Xiong
TechNet Community Support

Turning sql string (with dynamic columns) into a pipelined function

Hi guys,
I was working on an apex report the other day, and wrote the sql below (for those who don't know apex well, in an apex report you can define the columns at runtime.) When I was finished, I said to myself: "It would be great to have a pipeline function with this capability." So, the idea would be to have a sql string where the columns are created dynamically, depending on input parameters - and then be able to use this sql everywhere (oracle reports, sqlplus) through a pipelined function.
Here's the sql (simplified, of course, the data itself is actually not important - the LOOP is the key)
declare
v_sql varchar2(4000);
begin
v_sql := 'select client, ';
for i in (select employee from company_employees_view where condition = pi_parameter order by 1) loop
v_sql := v_sql || sum(decode(employee,''' || i.employee || ''', total)) "' || i.employee || '"';
end loop;
v_sql := v_sql || ', sum(total) "Total"';
v_sql := v_sql || ' from company_employees_view group by client';
end;
This sql would result in a final product like:
select client
, sum(decode(employee,'John',total) "John"
, sum(decode(employee,'Paul',total) "Paul"
, sum(decode(employee,'George',total) "George"
(and so on... this sql could have more or less columns depending on the input parameters of the function)
from company_employees_view
group by client;
I have tried feeding this sql into a ref cursor and an object, but always received an "inconsistent datatypes" message.
The object would be something like:
create or replace object rt_employee as (total number);
create or replace tt_employee as table of rt_employee;
create or replace object rt_client as (
client varchar2(100),
employee tt_employee);
create or replace tt_client as table of rt_client;
(I am not paying too much attention to syntax here.)
By the way, no hurry whatsoever, this is just for fun, take your time. I am using database XE with apex 2.1 and sql developer 1.2.
Thanks, Roger

This is the only solution I've ever seen to dynamic pipelined columns...
How to pipeline a function with a dynamic number of columns?

Sum of columns in union query

hi, i am using oracle 10g database..
how to get the sum of column in union query ?
     select * from (select 100 records from dual), (select 50 available from dual)
union
select * from (select 200 records from dual), (select 150 available from dual)
display should be like
                 records         available
                  100               50
                  200               150
total            300               200thanks ...

Peter vd Zwan wrote:
try this:Grouping by records will not produce correct results:
SQL> with a as
2 (
3 select * from (select 100 records from dual), (select 50 available from dual)
4 union
5 select * from (select 100 records from dual), (select 100 available from dual)
6 union
7 select * from (select 200 records from dual), (select 150 available from dual)
8 )
9 select
10    case when grouping(records) = 0 then null else 'total' end tot
11    ,sum(records)   records
12    ,sum(available) available
13 from
14    a
15 group by
16 rollup (records)
17 ;
TOT      RECORDS AVAILABLE
             200        150
             200        150
total        400        300
SQL> select case grouping(rownum)
2     when 1 then 'Total'
3   end display,
4          sum(records) records,
5          sum(available) available
6    from (
7            select * from (select 100 records from dual), (select 50 available from dual)
8           union
9            select * from (select 100 records from dual), (select 100 available from dual)
10           union
11            select * from (select 200 records from dual), (select 150 available from dual)
12          )
13    group by rollup(rownum)
14 /
DISPL    RECORDS AVAILABLE
             100         50
             100        100
             200        150
Total        400        300
SQL> SY.

SQL to sum a column while avoiding repeating values

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