Getting Sum of Multiple Columns and summing up values for the same id from a list - linq

I have a list which returns.
Grade Col1 Col2 Col3 Col4
t1 2 1 3 2
t2 2 5 1 5
t1 2 6 4 4
First, i need to add the values in each row for the corresponding Grade so that , i would have
Grade Sum(Sum of the 4 columns)
t1 8
t2 13
t1 16
and finally my result should be like:
Grade Total
t1 8+16 = 24
t2 13
I'm a newbie to Linq., can someone suggest me the approach using Linq, for returning this result.??
Thanks

Following LINQ query will group all rows by Grade and then produce sum of columns for each grade:
var query = from r in list
group r by r.Grade into g
select new {
Grade = g.Key,
Total = g.Sum(x => x.Col1 + x.Col2 + x.Col3 + x.Col4)
};

Related

Why when using grouping_id with rollup the total will be level 3 instead of 2?

Is there any logic behind the reason to why the total grouping when using rollup will be "lvl" 3?..
example:
col1
col2
id1
1
id1
2
id2
1
id2
2
id3
1
id3
2
In cube method this is understandable as
level 0 is the "basic values" (my own term)such as "col1-ID1","col2-id1", "col3-id1" etc..,
level 1 will be the subtotal row of each basic value which means subtotal of ID1(1)+ID1(2) --> id1(3) for example.
level 2 will be the total of each combination which means subtotal of 1's and subtotal of 2's , in this example: 1- subtotal will be 3 and 2-subtotal will be 6
and level 3 will be the grand total of them all, in this example: 9
my explanation might not make any sense:) .. sorry
Is there any reason behind that skipping from lvl 0/1 straight to 3? or its just the way it is?
Summary: The grand total will be in the grouping set with the id the maximum value of the grouping set which is equal to 2(number of columns in the grouping set) - 1. Therefore, with 2 columns being cubed, the grand total is in 22-1 = 3 and, with 3 columns being cubed, the grand total is in 23-1 = 7.
Given the query:
SELECT LISTAGG(col1, ',') WITHIN GROUP (ORDER BY col1) AS col1,
LISTAGG(col2, ',') WITHIN GROUP (ORDER BY col2) AS col2,
GROUPING_ID(col1, col2) AS grp
FROM table_name
GROUP BY CUBE(col1, col2)
ORDER BY grp, col1, col2
Which, for the sample data:
CREATE TABLE table_name (col1, col2) AS
SELECT 'id1', 1 FROM DUAL UNION ALL
SELECT 'id1', 2 FROM DUAL UNION ALL
SELECT 'id2', 1 FROM DUAL UNION ALL
SELECT 'id2', 2 FROM DUAL UNION ALL
SELECT 'id3', 1 FROM DUAL UNION ALL
SELECT 'id3', 2 FROM DUAL;
Outputs:
COL1
COL2
GRP
id1
1
0
id1
2
0
id2
1
0
id2
2
0
id3
1
0
id3
2
0
id1,id1
1,2
1
id2,id2
1,2
1
id3,id3
1,2
1
id1,id2,id3
1,1,1
2
id1,id2,id3
2,2,2
2
id1,id1,id2,id2,id3,id3
1,1,1,2,2,2
3
You can see that when GROUPING_ID(col1, col2) is:
The un-grouped value.
The value grouped by the first column in the grouping set (and there is one value for the first column and N values for the second column).
The value grouped by the second column in the grouping set (and there are M values for the first column and one value for the second column).
The value grouped by the both columns in the grouping set (and there are M values for the first column and N values for the second column giving N*M total values); which will give you the grand total.
If you had the sample data with 3 columns:
CREATE TABLE table2 (col1, col2, col3) AS
SELECT t1.COLUMN_VALUE,
t2.COLUMN_VALUE,
t3.COLUMN_VALUE
FROM TABLE(SYS.ODCIVARCHAR2LIST('id1', 'id2', 'id3')) t1
CROSS JOIN TABLE(SYS.ODCINUMBERLIST(1, 2)) t2
CROSS JOIN TABLE(SYS.ODCINUMBERLIST(3, 4)) t3;
Then using CUBE across 3 columns:
SELECT LISTAGG(col1, ',') WITHIN GROUP (ORDER BY col1) AS col1,
LISTAGG(col2, ',') WITHIN GROUP (ORDER BY col2) AS col2,
LISTAGG(col3, ',') WITHIN GROUP (ORDER BY col3) AS col3,
GROUPING_ID(col1, col2, col3) AS grp
FROM table2
GROUP BY CUBE(col1, col2, col3)
ORDER BY grp, col1, col2, col3
Outputs:
COL1
COL2
COL3
GRP
id1
1
3
0
id1
1
4
0
id1
2
3
0
id1
2
4
0
id2
1
3
0
id2
1
4
0
id2
2
3
0
id2
2
4
0
id3
1
3
0
id3
1
4
0
id3
2
3
0
id3
2
4
0
id1,id1
1,1
3,4
1
id1,id1
2,2
3,4
1
id2,id2
1,1
3,4
1
id2,id2
2,2
3,4
1
id3,id3
1,1
3,4
1
id3,id3
2,2
3,4
1
id1,id1
1,2
3,3
2
id1,id1
1,2
4,4
2
id2,id2
1,2
3,3
2
id2,id2
1,2
4,4
2
id3,id3
1,2
3,3
2
id3,id3
1,2
4,4
2
id1,id1,id1,id1
1,1,2,2
3,3,4,4
3
id2,id2,id2,id2
1,1,2,2
3,3,4,4
3
id3,id3,id3,id3
1,1,2,2
3,3,4,4
3
id1,id2,id3
1,1,1
3,3,3
4
id1,id2,id3
1,1,1
4,4,4
4
id1,id2,id3
2,2,2
3,3,3
4
id1,id2,id3
2,2,2
4,4,4
4
id1,id1,id2,id2,id3,id3
1,1,1,1,1,1
3,3,3,4,4,4
5
id1,id1,id2,id2,id3,id3
2,2,2,2,2,2
3,3,3,4,4,4
5
id1,id1,id2,id2,id3,id3
1,1,1,2,2,2
3,3,3,3,3,3
6
id1,id1,id2,id2,id3,id3
1,1,1,2,2,2
4,4,4,4,4,4
6
id1,id1,id1,id1,id2,id2,id2,id2,id3,id3,id3,id3
1,1,1,1,1,1,2,2,2,2,2,2
3,3,3,3,3,3,4,4,4,4,4,4
7
And will generate 23 = 8 levels (from 0 to 7) since there are all the possible combinations of grouping 3 columns and the grand-total will be in level 7; compared to 22 levels (0 to 3) when you are cubing 2 columns and the grand total is in level 3.
fiddle
Update
What I don't understand is why roll up is skipping level 2 straight to 3?
From the SELECT documentation:
ROLLUP
The ROLLUP operation in the simple_grouping_clause groups the selected rows based on the values of the first n, n-1, n-2, ... 0 expressions in the GROUP BY specification, and returns a single row of summary for each group.
[...]
CUBE
The CUBE operation in the simple_grouping_clause groups the selected rows based on the values of all possible combinations of expressions in the specification. It returns a single row of summary information for each group.
CUBE generates all possible grouping sets; ROLLUP generates groups of the first 1 column then with the first 2 columns, 3 columns, ..., up to n columns which is the same as the CUBE when the grouping sets are restricted to the 20-1, 21-1, 22-1, ..., 2n-1 (or more simply 0, 1, 3, 7, ... 2n-1).
This means that ROLLUP will skip the grouping set with id 2 as that is grouping only by the 2nd column and that is not "one of the first n, n-1, n-2, ... 0 expressions" in the GROUP BY specification.
fiddle

Is it possible to add distinct to part of a sum clause in Oracle?

I have a pretty lengthy SQL query which I'm going to run on Oracle via hibernate. It consists of two nested selects. In the first select statement, a number of sums are calculated, but in one of them I want to filter the results using unique ids.
SELECT ...
SUM(NVL(CASE WHEN SECOND_STATUS= 50 OR SECOND_STATUS IS NULL THEN RECEIVE_AMOUNT END, 0) +
NVL(CASE WHEN FIRST_STATUS = 1010 THEN AMOUNT END, 0) +
NVL(CASE WHEN FIRST_STATUS = 1030 THEN AMOUNT END, 0) -
NVL(CASE WHEN FIRST_STATUS = 1010 AND (SECOND_STATUS= 50 OR SECOND_STATUS IS NULL) THEN RECEIVE_AMOUNT END, 0)) TOTAL, ...
And at the end:
... FROM (SELECT s.*, p.* FROM FIRST_TABLE s
JOIN SECOND_TABLE p ON s.ID = p.FIRST_ID
In one of the lines that start with NVL (second line actually), I want to add a distinct clause that sums the amounts only if first table ids are unique. But I don't know if this is possible or not. If yes, how would it be?
Assume such setup
select * from first;
ID AMOUNT
---------- ----------
1 10
2 20
select * from second;
SECOND_ID FIRST_ID AMOUNT2
---------- ---------- ----------
1 1 100
2 1 100
3 2 100
After the join you get the total sum of both amounts too high because the amount from the first table is duplicated.
select *
from first
join second on first.id = second.first_id;
ID AMOUNT SECOND_ID FIRST_ID AMOUNT2
---------- ---------- ---------- ---------- ----------
1 10 1 1 100
1 10 2 1 100
2 20 3 2 100
You must add a row_number that identifies the first occurence in the parent table and consider in the AMOUNT only the first row and resets it to NULL in the duplicated rows.
select ID,
case when row_number() over (partition by id order by second_id) = 1 then AMOUNT end as AMOUNT,
SECOND_ID, FIRST_ID, AMOUNT2
from first
join second on first.id = second.first_id;
ID AMOUNT SECOND_ID FIRST_ID AMOUNT2
---------- ---------- ---------- ---------- ----------
1 10 1 1 100
1 2 1 100
2 20 3 2 100
Now you can safely sum in a separate subquery
with tab as (
select ID,
case when row_number() over (partition by id order by second_id) = 1 then AMOUNT end as AMOUNT,
SECOND_ID, FIRST_ID, AMOUNT2
from first
join second on first.id = second.first_id
)
select id, sum(nvl(amount,0) + nvl(amount2,0))
from tab
group by id
;
ID SUM(NVL(AMOUNT,0)+NVL(AMOUNT2,0))
---------- ---------------------------------
1 210
2 120
Note also that this is an answer to your question. Some will argue that in your situation you should first aggregate and than join. This will also resolve your problem possible more elegantly.

Oracle: prioritizing results based on column’s value

I have a data-set in which there are duplicate IDs in the first column. I'm hoping to obtain a single row of data for each ID based on the second column's value. The data looks like so:
ID Info_Source Prior?
A 1 Y
A 3 N
A 2 Y
B 1 N
B 1 N
B 2 Y
C 2 N
C 3 Y
C 1 N
Specifically the criteria would call for prioritizing based on the second column's value (3 highest priority; then 1; and lastly 2): if the 'Info_Source' column has a value of 3, return that row; if there is no 3 in the second column for a given ID, look for a 1 and if found return that row; and finally if there is no 3 or 1 associated with the ID, search for 2 and return that row for the ID.
The desired results would be a single row for each ID, and the resulting data would be:
ID Info_Source Prior?
A 3 N
B 1 N
C 3 Y
row_number() over() usually solves these needs nicely and efficiently e.g.
select ID, Info_Source, Prior
from (
select ID, Info_Source, Prior
, row_number() over(partition by id order by Info_source DESC) as rn
)
where rn = 1
For prioritizing the second column's value (3 ; then 1, then 2) use a case expression to alter the raw value into an order that you need.
select ID, Info_Source, Prior
from (
select ID, Info_Source, Prior
, row_number() over(partition by id
order by case when Info_source = 3 then 3
when Infor_source = 1 then 2
else 1 end DESC) as rn
)
where rn = 1

Select an included values

I'm using Oracle SQL and i need help with a query. Hope it's not too much easy one. I did't find an answer for it in Google.
I have a table that need to be aggregated by ID column and then to select only the records that two values are included in a certain table (and both of them).
Table for example
ID | Value
1 | Y
1 | N
2 | N
2 | N
2 | Y
3 | Y
3 | Y
4 | Y
5 | Y
5 | N
5 | Y
5 | N
The output table need to include only the IDs that both Y and N are included in Value table. Output:
ID
1
2
5
Another solution that groups by the ID and uses HAVING to return only those with > 1 DISTINCT values:
with v_data(id, value) as (
select 1, 'Y' from dual union all
select 1, 'N' from dual union all
select 2, 'Y' from dual)
select id
from v_data
group by id
having count(distinct value) > 1
select distinct a.id
from your_table a inner join your_table b on a.id = b.id and a.value != b.value;

Fix numbering of many item groups in table

I have a table with these columns
create table demo (
ID integer not null,
INDEX integer not null,
DATA varchar2(10)
)
Example data:
ID INDEX DATA
1 1 A
1 3 B
2 1 C
2 1 D
2 5 E
I want:
ID INDEX DATA
1 1 A
1 2 B -- 3 -> 2
2 1 C or D -- 1 -> 1 or 2
2 2 D or C -- 1 -> 2 or 1
2 3 E -- 5 -> 3 (closing the gap)
Is there a way to renumber the INDEX per ID using a single SQL update? Note that the order of items should be preserved (i.e. the item "E" should still be after the items "C" and "D" but the order of "C" and "D" doesn't really matter.
The goal is to be able to create a primary key over ID and INDEX.
If that matters, I'm on Oracle 10g.
MERGE
INTO demo d
USING (
SELECT rowid AS rid, ROW_NUMBER() OVER (PARTITION BY id ORDER BY index) AS rn
FROM demo
) d2
ON (d.rowid = d2.rid)
WHEN MATCHED THEN
UPDATE
SET index = rn

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