Can anhone help me out or point me in the right direction? What is simplest way to get from current table to output table??
Current Table
ID | type | amount |
2 | A | 19 |
2 | B | 6 |
3 | A | 5 |
3 | B | 11 |
4 | A | 1 |
4 | B | 23 |
Desires output
ID | type | amount | change |
2 | A | 19 | 13 |
2 | B | 6 | -6 |
3 | A | 5 | -22 |
3 | B | 11 | |
4 | A | 1 | |
4 | B | 23 | |
I don't get how the values are put on rows. You can, for instance, subtract the "B" value from the "A" value for any given id. For instance:
select t.*,
(case when type = 'A'
then amount - max(amount) filter (type = 'B') over (partition by id)
end) as diff_a_b
from t;
Related
While going through SQL columns, if we find text match "NEW" in Calc column, update the incrementing a count starting with 1 in Results column.
It should look like this on the output:
The following uses an id column to resolve the order issue. Replace that with your corresponding expression. This also addresses the requirement to start the display sequence with 1 and also show 0 for the 'NEW' rows.
The SQL (updated):
SELECT logs.*
, CASE WHEN text = 'NEW' THEN 0
ELSE
COALESCE(SUM(CASE WHEN text = 'NEW' THEN 1 END) OVER (PARTITION BY xrank ORDER BY id)+1, 1)
END AS display
FROM logs
ORDER BY id
The result:
+----+-------+------+---------+
| id | xrank | text | display |
+----+-------+------+---------+
| 1 | 1 | A | 1 |
| 2 | 1 | B | 1 |
| 3 | 1 | C | 1 |
| 4 | 1 | NEW | 0 |
| 5 | 1 | D | 2 |
| 6 | 1 | Q | 2 |
| 7 | 1 | B | 2 |
| 8 | 1 | NEW | 0 |
| 9 | 1 | D | 3 |
| 10 | 1 | Z | 3 |
| 11 | 2 | A | 1 |
| 12 | 2 | B | 1 |
| 13 | 2 | C | 1 |
| 14 | 2 | NEW | 0 |
| 15 | 2 | D | 2 |
| 16 | 2 | Q | 2 |
| 17 | 2 | B | 2 |
| 18 | 2 | NEW | 0 |
| 19 | 2 | D | 3 |
| 20 | 2 | Z | 3 |
+----+-------+------+---------+
You need a column that specifies the ordering for the table. With that, just use a cumulative sum:
select t.*,
1 + sum(case when Calc = 'NEW' then 1 else 0 end) over (partition by Rank_Id order by Seq) as display
from t;
I need results in minus column like:
For example, we take first result by A = 23(1)
and we 34(2) - 23(1) = 11, then 23(3) - 23(1)...
And so on. For each category.
+--------+----------+--------+-------+
| Period | Category | Result | Minus |
+--------+----------+--------+-------+
| 1 | A | 23 | n/a |
| 1 | B | 24 | n/a |
| 1 | C | 25 | n/a |
| 2 | A | 34 | 11 |
| 2 | B | 23 | -1 |
| 2 | C | 1 | -24 |
| 3 | A | 23 | 0 |
| 3 | B | 90 | 66 |
| 3 | C | 21 | -4 |
+--------+----------+--------+-------+
Could you help me?
Could we use partitions or lead here?
SELECT
*,
Result - FIRST_VALUE(Result) OVER (PARTITION BY Category ORDER BY Period) AS Minus
FROM
yourTable
This doesn't create the hello values, but returns 0 instead. I'm not sure returning arbitrary string in an integer column makes sense, so I didn't do it.
If you really need to avoid the 0 you could just use a CASE statement...
CASE WHEN 1 = Period
THEN NULL
ELSE Result - FIRST_VALUE(Result) OVER (PARTITION BY Category ORDER BY Period)
END
Or, even more robustly...
CASE WHEN 1 = ROW_NUMBER() OVER (PARTITION BY Category ORDER BY Period)
THEN NULL
ELSE Result - FIRST_VALUE(Result) OVER (PARTITION BY Category ORDER BY Period)
END
(Apologies for any typos, etc, I'm on my phone.)
You can do:
select b.*, b.result - a.result as "minus"
from t a
join t b on b.category = a.category and a.period = 1
Result:
period category result minus
------- --------- ------- -----
1 A 23 0
1 B 24 0
1 C 25 0
2 A 34 11
2 B 23 -1
2 C 1 -24
3 A 23 0
3 B 90 66
3 C 21 -4
See running example at DB Fiddle.
Ok, just not to duplicate my question
How to do it?
If
For each new Sub period we should repeat first_value logic
+------------+----------+------------+----------+---------+
| Sub period | Period | Category | Result | Minus |
+------------+----------+------------+----------+---------+
| SA | 1 | A | 23 | n/a |
| SA | 2 | A | 34 | 11 |
| SA | 3 | A | 35 | 12 |
| SA | 4 | A | 36 | 13 |
| KS | 1 | A | 23 | n/a |
| KS | 2 | A | 21 | -2 |
| KS | 3 | A | 23 | 0 |
| KS | 4 | A | 21 | -2 |
+------------+----------+------------+----------+---------+
Suppose we have the following input table
cat | value | position
------------------------
1 | A | 1
1 | B | 2
1 | C | 3
1 | D | 4
2 | C | 1
2 | B | 2
2 | A | 3
2 | D | 4
As you can see, the values A,B,C,D change position in each category, I want to track this change by adding a column change in front of each value, the output should look like this:
cat | value | position | change
---------------------------------
1 | A | 1 | NULL
1 | B | 2 | NULL
1 | C | 3 | NULL
1 | D | 4 | NULL
2 | C | 1 | 2
2 | B | 2 | 0
2 | A | 3 | -2
2 | D | 4 | 0
For example C was in position 3 in category 1 and moved to position 1 in category 2 and therefore has a change of 2. I tried inmplementing this using the LAG() function with an offset of 4 but I failed, how can I write this query.
Use lag() - with the proper partition by clause:
select
t.*,
lag(position) over(partition by value order by cat) - position change
from mytable t
You can use lag and then order by to maintain original order. Here is the demo.
select
*,
lag(position) over (partition by value order by cat) - position as change
from yourTable
order by
cat, position
output:
| cat | value | position | change |
| --- | ----- | -------- | ------ |
| 1 | A | 1 | null |
| 1 | B | 2 | null |
| 1 | C | 3 | null |
| 1 | D | 4 | null |
| 2 | C | 1 | 2 |
| 2 | B | 2 | 0 |
| 2 | A | 3 | -2 |
| 2 | D | 4 | 0 |
I think you just want lag() with the right partition by:
select t.*,
(lag(position) over (partition by value order by cat) - position) as change
from t;
Here is a db<>fiddle.
I'm using SQL Server 2014 and i'm having a trouble with a query.
I have this scenario bellow:
| Number | Series | Name |
|--------|--------|---------|
| 9 | 1 | Name 1 |
| 5 | 3 | Name 2 |
| 8 | 2 | Name 3 |
| 7 | 3 | Name 4 |
| 0 | 1 | Name 5 |
| 1 | 2 | Name 6 |
| 9 | 2 | Name 7 |
| 3 | 3 | Name 8 |
| 4 | 1 | Name 9 |
| 0 | 1 | Name 10 |
and I need to get it ordered by series column like this:
| Number | Series | Name |
|--------|--------|---------|
| 9 | 1 | Name 1 |
| 8 | 2 | Name 3 |
| 5 | 3 | Name 2 |
| 7 | 1 | Name 5 |
| 1 | 2 | Name 6 |
| 0 | 3 | Name 4 |
| 4 | 1 | Name 9 |
| 9 | 2 | Name 7 |
| 3 | 3 | Name 8 |
| 0 | 1 | Name 10 |
Actually is more a sequency in "series" column than an ordenation.
1,2,3 again 1,2,3...
Somebody could help me?
You can do this using the ANSI standard function row_number():
select number, series, name
from (select t.*, row_number() over (partition by series order by number) as seqnum
from t
) t
order by seqnum, series;
This assigns "1" to the first record for each series, "2" to the second, and so on. The outer order by then puts all the "1"s together, all the "2" together. This has the effect of interleaving the values of the series.
I have two tables, A and B, and a join table M. I want to, for each A.id, get the top 2 B.id's sorting on the value in table M, producing the results below. This is running on an Azure SQL database
Table A Table M Table B
+-----+ +-----+-----+-------+ +-----+
| Id | | AId | BId | Value | | Id |
+-----+ +-----+-----+-------+ +-----+
| 1 | | 1 | 3 | 4 | | 1 |
| 2 | | 1 | 2 | 3 | | 2 |
| 3 | | 3 | 2 | 3 | | 3 |
| 4 | | 3 | 5 | 6 | | 4 |
+-----+ | 3 | 3 | 4 | | 5 |
| 4 | 1 | 2 | +-----+
| 4 | 2 | 1 |
| 4 | 4 | 3 |
+-----+-----+-------+
Result
+-----+-----+-------+
| AId | BId | Value |
+-----+-----+-------+
| 1 | 3 | 4 |
| 1 | 2 | 3 |
| 3 | 5 | 6 |
| 3 | 3 | 4 |
| 4 | 1 | 2 |
| 4 | 4 | 3 |
+-----+-----+-------+
I know that I can select all the M.AId rows where they equal 1, sort it, and limit by 2, but I need to do this for every row in Table A. I've made an attempt to use group by, but I wasn't sure how to sort and limit it. I've also tried to search for resources associated with this issue but I couldn't find any resources.
(I also wasn't sure how to word the title for this issue)
You can just use ROW_NUMBER:
SELECT
AId, BId, Value
FROM (
SELECT *,
Rn = ROW_NUMBER() OVER(PARTITION BY AId ORDER BY Value DESC)
FROM M
) t
WHERE Rn <= 2