I have been trying to research and Google forever for this but I cannot find an answer. I have duplicate values in 1 column but I would like to display them only once. Is it even possible in SQL?
What I have:
A
B
C
A
2
3
A
2
4
B
4
4
B
3
4
C
3
9
What I would like:
A
B
C
A
2
3
A
4
B
4
4
B
3
4
C
9
Use this:
SELECT A,
CASE WHEN (LAG(B) OVER (ORDER A)) = B THEN '' ELSE CONVERT(VARCHAR,B) END AS B,
C FROM TABLENAME
Related
I have a pandas dataframe which contains duplicates values according to two columns (A and B):
A B C
1 2 1
1 2 4
2 7 1
3 4 0
3 4 8
I want to remove duplicates keeping the values in column C inside a list of len N values in C (example 2 values in this example). This would lead to:
A B C
1 2 [1,4]
2 7 1
3 4 [0,8]
I cannot figure out how to do that. Maybe use groupby and drop_duplicates?
I currently have a table which looks like this.
A Category Code
1 A 10,30
2 B 30
3 C 20,30,40
Is there anyway to write a sql statement that would get me
ID Category Code
1 A 10
1 A 30
2 B 30
3 C 20
3 C 30
3 C 40
Thanks
You can use UNNEST with SPLIT function...
select a, category, s_code
from my_data, unnest(split(code, ',')) as s_code
a
category
s_code
1
A
10
1
A
30
2
B
30
3
C
20
3
C
30
3
C
40
This problem is out of my ability range and I can’t get anywhere with it beyond knowing I can probably use LEAD, LAG or maybe a cursor?
Here is a breakdown of the table and question:
row_id is always an IDENTITY(1, 1) column.
The set_id column always starts out in groups of 3s (two 0s for the first set_id, don't worry about why).
The letter column is alphabetic. There are varying counts of duplicates.
Here's the original table:
row_id
set_id
letter
1
0
A
2
0
A
3
1
A
4
1
B
5
1
B
6
2
B
7
2
B
8
2
C
9
3
C
10
3
C
11
3
D
12
4
D
13
4
D
14
4
D
What I need is a code that: if there is a duplicate letter in the next row, then the set_id in the next row should be the same as the previous row (alt_set_id).
If that doesn't make sense, here is the result I want:
row_id
set_id
letter
alt_set_id
1
0
A
0
2
0
A
0
3
1
A
0
4
1
B
1
5
1
B
1
6
2
B
1
7
2
B
1
8
2
C
2
9
3
C
2
10
3
C
2
11
3
D
3
12
4
D
3
13
4
D
3
14
4
D
3
Here's where I am with code so far, I'm not really close but I think I am on the right path:
SELECT
*,
CASE
WHEN letter = [letter in next row]
THEN 'yes'
ELSE 'no'
END AS 'next row a duplicate?',
'tbd' AS alt_row_id
FROM
(SELECT
*,
LEAD(letter) OVER (ORDER BY row_id) AS 'letter in next row'
FROM
sort_test) AS dt
WHERE
row_id = row_id
That query has the below result set, which is something I think I can work with, but it doesn't feel very efficient and I'm not yet getting the result needed in the alt_set_id column:
row_id
set_id
letter
letter in next row
next row a duplicate?
alt_set_id
1
0
A
A
yes
tbd
2
0
A
A
yes
tbd
3
1
A
B
no
tbd
4
1
B
B
yes
tbd
5
1
B
B
yes
tbd
6
2
B
B
yes
tbd
7
2
B
C
no
tbd
8
2
C
C
yes
tbd
9
3
C
C
yes
tbd
10
3
C
D
no
tbd
11
3
D
D
yes
tbd
12
4
D
D
yes
tbd
13
4
D
D
yes
tbd
14
4
D
NULL
no
tbd
Thanks for any help!
Based on your example data, you want the minimum set_id for each letter. If so, use window functions;
select t.*, min(set_id) over (partition by letter) as alt_set_id
from sort_test t;
It would appear if I understand correctly a simple correlated subquery will give you the desired result:
select *, (select Min(set_Id) from t t2 where t2.letter=t.letter) as alt_set_id
from t
See working DB Fiddle
i have a table like
a 1
a 2
b 1
b 3
b 2
b 4
i wanted out put like this
1 2 3 4
a a
b b b b
Number of rows in output may vary.
Pivoting is not working as it is in exasol, and case cant work as it is dynamic
I have following two tables:
A.
A_ID Amount GL_ID
------------------
1 100 10
2 200 11
3 150 10
4 20 10
5 369 12
6 369 11
7 254 12
B.
B_ID Name GL_ID
-----------------
1 A 10
2 B 10
3 C 11
4 D 11
5 E 12
6 F 12
I want to join these tables. They have GL_ID column in common (ID of another table). Table A store transactions along with GL_ID while table B defines document type (A, B, C, D etc.) with reference to GL_ID.
A & B don't have any common column except GL_ID. I want the following result, relevant document type (A, B, C, D etc.) for each transaction in table A.
A.A_ID A.Amount B.Name
-----------------------
1 100 A
2 200 B
3 150 B
4 20 B
5 369 A
6 369 D
7 254 D
But when I apply to join (LEFT, RIGHT, FULL JOIN) keyword, query shows repeated values. But I only want to have relevant Doc Type for each line in table A.
try this.
select distinct A.A_ID, A.Amount, B.Name
from A inner join B on A.GL_ID=B.GL_ID