I have a table like this:
| id | name | segment | date_created | question | answer |
|----|------|---------|--------------|----------|--------|
| 1 | John | 1 | 2018-01-01 | 10 | 28 |
| 1 | John | 1 | 2018-01-01 | 14 | 37 |
| 1 | John | 1 | 2018-01-01 | 9 | 83 |
| 2 | Jack | 3 | 2018-03-11 | 22 | 13 |
| 2 | Jack | 3 | 2018-03-11 | 23 | 16 |
And I want to show this information in a single row, transpose all the questions and answers as columns:
| id | name | segment | date_created | question_01 | answer_01 | question_02 | answer_02 | question_03 | answer_03 |
|----|------|---------|--------------|-------------|-----------|-------------|-----------|-------------|-----------|
| 1 | John | 1 | 2018-01-01 | 10 | 28 | 14 | 37 | 9 | 83 |
| 2 | Jack | 3 | 2018-03-11 | 22 | 13 | 23 | 16 | | |
The number os questions/answers for the same ID is known. Maximum of 15.
I'm already tried using crosstab, but it only accepts a single value as category and I can have 2 (question/answer). Any help how to solve this?
You can try to use row_number to make a number in subquery then, do Aggregate function condition in the main query.
SELECT ID,
Name,
segment,
date_created,
max(CASE WHEN rn = 1 THEN question END) question_01 ,
max(CASE WHEN rn = 1 THEN answer END) answer_01 ,
max(CASE WHEN rn = 2 THEN question END) question_02,
max(CASE WHEN rn = 2 THEN answer END) answer_02,
max(CASE WHEN rn = 3 THEN question END) question_03,
max(CASE WHEN rn = 3 THEN answer END) answer_03
FROM (
select *,Row_number() over(partition by ID,Name,segment,date_created order by (select 1)) rn
from T
) t1
GROUP BY ID,Name,segment,date_created
sqlfiddle
[Results]:
| id | name | segment | date_created | question_01 | answer_01 | question_02 | answer_02 | question_03 | answer_03 |
|----|------|---------|--------------|-------------|-----------|-------------|-----------|-------------|-----------|
| 1 | John | 1 | 2018-01-01 | 1 | 28 | 14 | 37 | 9 | 83 |
| 2 | Jack | 3 | 2018-03-11 | 22 | 13 | 23 | 16 | (null) | (null) |
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 |
+------------+----------+------------+----------+---------+
Here is my source data:
+-------+-------+-------+------+
| Categ | Nm | Value | Rnk |
+-------+-------+-------+------+
| A | Tom | 37 | 1 |
| A | Joe | 36 | 2 |
| A | Eddie | 35 | 3 |
| B | Seth | 28 | 1 |
| B | Ed | 25 | 2 |
| B | Billy | 22 | 3 |
| C | Julie | 42 | 1 |
| C | Jenny | 41 | 2 |
| C | April | 40 | 3 |
| C | Mary | 40 | 3 |
| C | Laura | 40 | 3 |
+-------+-------+-------+------+
And here is the output I would like to produce:
+------+--------+--------+-------+
| Rnk | A | B | C |
+------+--------+--------+-------+
| 1 | Tom | Seth | Julie |
| 2 | Joe | Ed | Jenny |
| 3 | Eddie | Billy | April |
| 3 | (null) | (null) | Mary |
| 3 | (null) | (null) | Laura |
+------+--------+--------+-------+
I have used the following approach (which I understand through other posts may be superior to actually using PIVOT)...and this gets me to where I see Julie/Jenny/April, but not Mary/Laura (obviously, since it is pulling the MIN in the event of a 'tie').
SELECT Rnk
, min(CASE WHEN Categ = 'A' THEN Nm END) as A
, min(CASE WHEN Categ = 'B' THEN Nm END) as B
, min(CASE WHEN Categ = 'C' THEN Nm END) as C
FROM Tbl
GROUP BY Rnk
How to get to my desired output?
Well, if you want multiple rows for each rank, you can't aggregate by rank, or at least by rank alone. So, calculate the rank-within-the-rank or as the following query calls it, the sub_rnk:
SELECT Rnk,
min(CASE WHEN Categ = 'A' THEN Nm END) as A,
min(CASE WHEN Categ = 'B' THEN Nm END) as B,
min(CASE WHEN Categ = 'C' THEN Nm END) as C
FROM (select t.*, row_number() over (partition by categ, rnk order by newid()) as sub_rnk
from Tbl t
) t
GROUP BY rnk, sub_rnk
ORDER BY rnk;
For this Table:
+----+--------+-------+
| ID | Status | Value |
+----+--------+-------+
| 1 | 1 | 4 |
| 2 | 1 | 7 |
| 3 | 1 | 9 |
| 4 | 2 | 1 |
| 5 | 2 | 7 |
| 6 | 1 | 8 |
| 7 | 1 | 9 |
| 8 | 2 | 1 |
| 9 | 0 | 4 |
| 10 | 0 | 3 |
| 11 | 0 | 8 |
| 12 | 1 | 9 |
| 13 | 3 | 1 |
+----+--------+-------+
I need to sum sequential groups with the same Status to produce this result.
+--------+------------+
| Status | Sum(Value) |
+--------+------------+
| 1 | 20 |
| 2 | 8 |
| 1 | 17 |
| 2 | 1 |
| 0 | 15 |
| 1 | 9 |
| 3 | 1 |
+--------+------------+
How can I do that in SQL Server?
NB: The values in the ID column are contiguous.
Per the tag I added to your question this is a gaps and islands problem.
The best performing solution will likely be
WITH T
AS (SELECT *,
ID - ROW_NUMBER() OVER (PARTITION BY [STATUS] ORDER BY [ID]) AS Grp
FROM YourTable)
SELECT [STATUS],
SUM([VALUE]) AS [SUM(VALUE)]
FROM T
GROUP BY [STATUS],
Grp
ORDER BY MIN(ID)
If the ID values were not guaranteed contiguous as stated then you would need to use
ROW_NUMBER() OVER (ORDER BY [ID]) -
ROW_NUMBER() OVER (PARTITION BY [STATUS] ORDER BY [ID]) AS Grp
Instead in the CTE definition.
SQL Fiddle
I am trying to reach the follwoing result:
ID | Part | QTY| Boxes| Reference
1 | ABC123 | 20 | 0 | REF0001
2 | ABC345 | 10 | 0 | REF0001
3 | ABC487 | 5 | 1 | REF0001
4 | SEF453 | 4 | 0 | REF0002
5 | ABDS12 | 82 | 4 | REF0002
6 | EFR488 | 64 | 0 | REF0003
7 | XCV345 | 58 | 0 | REF0003
8 | SSFS33 | 23 | 3 | REF0003
Right now I get
ID | Part | QTY| Boxes| Reference
1 | ABC123 | 20 | 1 | REF0001
2 | ABC345 | 10 | 1 | REF0001
3 | ABC487 | 5 | 1 | REF0001
4 | SEF453 | 4 | 4 | REF0002
5 | ABDS12 | 82 | 4 | REF0002
6 | EFR488 | 64 | 3 | REF0003
7 | XCV345 | 58 | 3 | REF0003
8 | SSFS33 | 23 | 3 | REF0003
As you can see, the qty of boxes per reference repeat each row and i need to appear only one per reference.
Well, here is one way . . .
with t as (<your current query>)
select ID, Part, QTY,
max(Boxes) over (partition by Reference) as Boxes,
Reference
from t
Assigning row numbers grouped per each reference will mark highest ID sharing the same reference as 1; main query checks this mark and outputs zero if it is not satisfied.
; with q as
(
select *,
row_number() over (partition by Reference
order by ID desc) rn
from
(
your-query-here
) a
)
select q.ID,
q.Part,
q.QTY,
case when rn = 1 then q.Boxes else 0 end as Boxes,
q.Reference
from q
order by q.ID