Convert row to column using sql server 2008? - sql

Table name is Looupvalue
id Ptypefield Value
1 1 D
2 1 E
3 1 F
4 1 G
5 1 H
6 2 FL
7 2 IF
8 2 VVS1
9 2 VVS2
10 2 VS1
11 2 VS2
12 3 0.50
13 3 1.00
14 3 1.50
15 3 2.00
16 4 Marquise
17 4 Round
18 4 Pear
19 4 Radiant
20 4 Princess
Lookupvalue table value convert roow to column depends on ptypefield
Like
id 1 id 2 id 3 id 4
1 D 6 fl 12 0.50 16 Marquise
2 E 7 If 13 1 17 Round....
3 F 8 vvs2 14 1.5
4 G 9 vvs2 15 2
5 H 10 vs1
11 vs2
Thanks


In your sample output, it is not clear why values from columns 1 and 2 would be related to columns 3 and 4. However, here is a possible solution:
;With RowNumbers As
(
Select Id, PTypeField, Value
, Row_Number() Over( Partition By PTypeField Order By Id ) As Rownum
From #Test
)
Select RowNum
, Min( Case When PTypeField = 1 Then Id End ) As Id
, Min( Case When PTypeField = 1 Then Value End ) As [1]
, Min( Case When PTypeField = 2 Then Id End ) As Id
, Min( Case When PTypeField = 2 Then Value End ) As [2]
, Min( Case When PTypeField = 3 Then Id End ) As Id
, Min( Case When PTypeField = 3 Then Value End ) As [3]
, Min( Case When PTypeField = 4 Then Id End ) As Id
, Min( Case When PTypeField = 4 Then Value End ) As [4]
From RowNumbers
Group By RowNum
If you wanted to dynamically generate the columns, the only way to do that in SQL is to use some fugly dynamic SQL. T-SQL was not designed for this sort of output and instead you should use a reporting tool or do the crosstabbing in a middle tier component or class.
This data schema looks like an EAV which would explain why retrieving the data you want is so difficult.

Related

row_number() but only increment value after a specific value in a column

Query: SELECT (row_number() OVER ()) as grp, * from tbl
Edit: the rows below are returned by a pgrouting shortest path function and it does have a sequence.
seq grp id
1 1 8
2 2 3
3 3 2
4 4 null
5 5 324
6 6 82
7 7 89
8 8 null
9 9 1
10 10 2
11 11 90
12 12 null
How do I make it so that the grp column is only incremented after a null value on id - and also keep the same order of rows
seq grp id
1 1 8
2 1 3
3 1 2
4 1 null
5 2 324
6 2 82
7 2 89
8 2 null
9 3 1
10 3 2
11 3 90
12 3 null

demo:db<>fiddle
Using a cumulative SUM aggregation is a possible approach:
SELECT
SUM( -- 2
CASE WHEN id IS NULL THEN 1 ELSE 0 END -- 1
) OVER (ORDER BY seq) as grp,
id
FROM mytable
If the current (ordered!) value is NULL, then make it 1, else 0. Now you got a bunch of zeros, delimited by a 1 at each NULL record. If you'd summerize these values cumulatively, at each NULL record, the sum increased.
Execution of the cumulative SUM() using window functions
This yields:
0 8
0 3
0 2
1 null
1 324
1 82
1 89
2 null
2 1
2 2
2 90
3 null
As you can see, the groups start with the NULL records, but you are expecting to end it.
This can be achieved by adding another window function: LAG(), which moves the records to the next row:
SELECT
SUM(
CASE WHEN next_id IS NULL THEN 1 ELSE 0 END
) OVER (ORDER BY seq) as grp,
id
FROM (
SELECT
LAG(id) OVER (ORDER BY seq) as next_id,
seq,
id
FROM mytable
) s
The result is your expected one:
1 8
1 3
1 2
1 null
2 324
2 82
2 89
2 null
3 1
3 2
3 90
3 null

SQL: subset data: select id when time_id for id satisfy a condition from another column

I have a data (dt) in SQL like the following:
ID time_id act rd
11 1 1 1
11 2 4 1
11 3 7 0
12 1 8 1
12 2 2 0
12 3 4 1
12 4 3 1
12 5 4 1
13 1 4 1
13 2 1 0
15 1 3 1
16 1 8 0
16 2 8 0
16 3 8 0
16 4 8 0
16 5 8 0
and I want to take the subset of this data such that only ids (and their corresponding time_id, act, rd) that has time_id == 5 is retained. The desired output is the following
ID time_id act rd
12 1 8 1
12 2 2 0
12 3 4 1
12 4 3 1
12 5 4 1
16 1 8 0
16 2 8 0
16 3 8 0
16 4 8 0
16 5 8 0
I know I should use having clause somehow but have not been successful so far (returns me empty outputs). below is my attempt:
SELECT * FROM dt
GROUP BY ID
Having min(time_id) == 5;

This query:
select id from tablename where time_id = 5
returns all the ids that you want in the results.
Use it with the operator IN:
select *
from tablename
where id in (select id from tablename where time_id = 5)

You can use a correlated subquery with exists:
select t.*
from t
where exists (select 1 from t t2 where t2.id = t.id and t2.time_id = 5);

WITH temp AS
(
SELECT id FROM tab WHERE time_id = 5
)
SELECT * FROM tab t join temp tp on(t.id=tp.id);

check this query
select * from table t1 join (select distinct ID from table t where time_id = 5) t2 on t1.id =t2.id;

Select top rows until value in specific column has appeared twice

I have the following query where I am trying to select all records, ordered by date, until the second time EmailApproved = 1 is found. The second record where EmailApproved = 1 should not be selected.
declare #Test table (id int, EmailApproved bit, Created datetime);
insert into #Test (id, EmailApproved, Created)
values
(1,0,'2011-03-07 03:58:58.423')
, (2,0,'2011-02-21 04:55:52.103')
, (3,0,'2011-01-29 13:24:02.103')
, (4,1,'2010-10-12 14:41:54.217')
, (5,0,'2010-10-12 14:34:15.903')
, (6,0,'2010-10-12 10:10:19.123')
, (7,1,'2010-08-27 12:07:16.073')
, (8,1,'2010-08-25 12:15:49.413')
, (9,0,'2010-08-25 12:14:51.970')
, (10,1,'2010-04-12 16:43:44.777');
select *
, case when Row1 = Row2 then 1 else 0 end Row1EqualRow2
from (
select id, EmailApproved, Created
, row_number() over (partition by EmailApproved order by Created desc) Row1
, row_number() over (order by Created desc) Row2
from #Test
) X
--where Row1 = Row2
order by Created desc;
Which produces the following results:
id EmailApproved Created Row1 Row2 Row1EqualsRow2
1 0 2011-03-07 03:58:58.423 1 1 1
2 0 2011-02-21 04:55:52.103 2 2 1
3 0 2011-01-29 13:24:02.103 3 3 1
4 1 2010-10-12 14:41:54.217 1 4 0
5 0 2010-10-12 14:34:15.903 4 5 0
6 0 2010-10-12 10:10:19.123 5 6 0
7 1 2010-08-27 12:07:16.073 2 7 0
8 1 2010-08-25 12:15:49.413 3 8 0
9 0 2010-08-25 12:14:51.970 6 9 0
10 1 2010-04-12 16:43:44.777 4 10 0
What I actually want is:
id EmailApproved Created Row1 Row2 Row1EqualsRow2
1 0 2011-03-07 03:58:58.423 1 1 1
2 0 2011-02-21 04:55:52.103 2 2 1
3 0 2011-01-29 13:24:02.103 3 3 1
4 1 2010-10-12 14:41:54.217 1 4 0
5 0 2010-10-12 14:34:15.903 4 5 0
6 0 2010-10-12 10:10:19.123 5 6 0
Note: Row, Row2 & Row1EqualsRow2 are just working columns to show my calculations.

Steps:
Create a row number, rn, over all rows in case id is not in sequence.
Create a row number, approv_rn, partitioned by EmailApproved so we know when EmailApproved = 1 for the second time
Use a outer apply to find the row number of the second instance of EmailApproved = 1
In the where clause filter out all rows where the row number is >= the value found in step 3.
If there is 1 or 0 EmailApproved records available then the outer apply will return null, in which case return all available rows.
with test as
(
select *,
rn = row_number() over (order by Created desc),
approv_rn = row_number() over (partition by EmailApproved
order by Created desc)
from #Test
)
select *
from test t
outer apply
(
select x.rn
from test x
where x.EmailApproved = 1
and x.approv_rn = 2
) x
where t.rn < x.rn or x.rn is null
order by t.Created desc;

SQL Server - group and number matching contiguous values

I have a list of stock transactions and I am using Over(Partition By) to calculate the running totals (positions) by security. Over time a holding in a particular security can be long, short or flat. I am trying to find an efficient way to extract only the transactions relating to the current position for each security.
I have created a simplified sqlfiddle to show what I have so far. The cte query generates the running total for each security (code_id) and identifies when the holdings are long (L), short (s) or flat (f). What I need is to group and number matching contiguous values of L, S or F for each code_id.
What I have so far is this:
; WITH RunningTotals as
(
SELECT
*,
RunningTotal = sum(qty) OVER (Partition By code_id Order By id)
FROM
TradeData
), LongShortFlat as
(
SELECT
*,
LSF = CASE
WHEN RunningTotal > 0 THEN 'L'
WHEN RunningTotal < 0 THEN 'S'
ELSE 'F'
END
FROM
RunningTotals
)
SELECT
*
FROM
LongShortFlat r
I think what I need to do is create a GroupNum column by applying a row_number for each group of L, S and F within each code_id so the results look like this:
id code_id qty RunningTotal LSF GroupNum
1 1 5 5 L 1
2 1 2 7 L 1
3 1 7 14 L 1
4 1 -3 11 L 1
5 1 -5 6 L 1
6 1 -6 0 F 2
7 1 5 5 L 3
8 1 5 10 L 3
9 1 -2 8 L 3
10 1 -4 4 L 3
11 2 5 5 L 1
12 2 3 8 L 1
13 2 -4 4 L 1
14 2 -2 2 L 1
15 2 -2 0 F 2
16 2 6 6 L 3
17 2 -5 1 L 3
18 2 -5 -4 S 4
19 2 2 -2 S 4
20 2 4 2 L 5
21 2 -5 -3 S 6
22 2 -2 -5 S 6
23 3 5 5 L 1
24 3 2 7 L 1
25 3 1 8 L 1
I am struggling to generate the GroupNum column.
Thanks in advance for your help.

[Revised]
Sorry about that, I read your question too quickly. I came up with a solution using a recursive common table expression (below), then saw that you've worked out a solution using LAG. I'll post my revised query anyway, for posterity. Either way, the resulting query is (imho) pretty ugly.
;WITH cteBaseAgg
as (
-- Build the "sum increases over time" data
SELECT
row_number() over (partition by td.code_id order by td.code_id, td.Id) RecurseKey
,td.code_id
,td.id
,td.qty
,sum(tdPrior.qty) RunningTotal
,case
when sum(tdPrior.qty) > 0 then 'L'
when sum(tdPrior.qty) < 0 then 'S'
else 'F'
end LSF
from dbo.TradeData td
inner join dbo.TradeData tdPrior
on tdPrior.code_id = td.code_id -- All for this code_id
and tdPrior.id <= td.Id -- For this and any prior Ids
group by
td.code_id
,td.id
,td.qty
)
,cteRecurse
as (
-- "Set" the first row for each code_id
SELECT
RecurseKey
,code_id
,id
,qty
,RunningTotal
,LSF
,1 GroupNum
from cteBaseAgg
where RecurseKey = 1
-- For each succesive row in each set, check if need to increment GroupNum
UNION ALL SELECT
agg.RecurseKey
,agg.code_id
,agg.id
,agg.qty
,agg.RunningTotal
,agg.LSF
,rec.GroupNum + case when rec.LSF = agg.LSF then 0 else 1 end
from cteBaseAgg agg
inner join cteRecurse rec
on rec.code_id = agg.code_id
and agg.RecurseKey - 1 = rec.RecurseKey
)
-- Show results
SELECT
id
,code_id
,qty
,RunningTotal
,LSF
,GroupNum
from cteRecurse
order by
code_id
,id

Sorry for making this question a bit more complicated than it needed to be but for the sake of closure I have found a solution using the lag function.
In order to achieve what I wanted I continued my cte above with the following:
, a as
(
SELECT
*,
Lag(LSF, 1, LSF) OVER(Partition By code_id ORDER BY id) AS prev_LSF,
Lag(code_id, 1, code_id) OVER(Partition By code_id ORDER BY id) AS prev_code
FROM
LongShortFlat
), b as
(
SELECT
id,
LSF,
code_id,
Sum(CASE
WHEN LSF <> prev_LSF AND code_id = prev_code
THEN 1
ELSE 0
END) OVER(Partition By code_id ORDER BY id) AS grp
FROM
a
)
select * from b order by id
Here is the updated sqlfiddle.

SQL Recursive CTE unexpectedly returns alternating sets

I am trying to get the use recursive CTE to repeat the same pattern over and over, resetting when "Scenario" increases in value. RowNumber repeats 1-21 (as desired), but whenever "Scenario" is an even number, there are too few items in the "Vals" column to feed into "Value". I can't figure out which part of the code is causing me to be 1 short for only even Scenarios.
Below are the results of the code I'm using at the bottom.
Scenario RowNumber Value Vals
1 1 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 2 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 3 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 4 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 5 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 6 A A,A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 7 A A,A,A,A,A,A,A,A,A,A,A,A,B,C
1 8 A A,A,A,A,A,A,A,A,A,A,A,B,C
1 9 A A,A,A,A,A,A,A,A,A,A,B,C
1 10 A A,A,A,A,A,A,A,A,A,B,C
1 11 A A,A,A,A,A,A,A,A,B,C
1 12 A A,A,A,A,A,A,A,B,C
1 13 A A,A,A,A,A,A,B,C
1 14 A A,A,A,A,A,B,C
1 15 A A,A,A,A,B,C
1 16 A A,A,A,B,C
1 17 A A,A,B,C
1 18 A A,B,C
1 19 A B,C
1 20 B C
1 21 C
2 1 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,C
2 2 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,C
2 3 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,C
2 4 A A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,C
2 5 A A,A,A,A,A,A,A,A,A,A,A,A,B,B,C
2 6 A A,A,A,A,A,A,A,A,A,A,A,B,B,C
2 7 A A,A,A,A,A,A,A,A,A,A,B,B,C
2 8 A A,A,A,A,A,A,A,A,A,B,B,C
2 9 A A,A,A,A,A,A,A,A,B,B,C
2 10 A A,A,A,A,A,A,A,B,B,C
2 11 A A,A,A,A,A,A,B,B,C
2 12 A A,A,A,A,A,B,B,C
2 13 A A,A,A,A,B,B,C
2 14 A A,A,A,B,B,C
2 15 A A,A,B,B,C
2 16 A A,B,B,C
2 17 A B,B,C
2 18 B B,C
2 19 B C
2 20 C
2 21 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,C
3 1 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 2 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 3 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 4 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 5 A A,A,A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 6 A A,A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 7 A A,A,A,A,A,A,A,A,A,A,A,B,C,C
3 8 A A,A,A,A,A,A,A,A,A,A,B,C,C
3 9 A A,A,A,A,A,A,A,A,A,B,C,C
3 10 A A,A,A,A,A,A,A,A,B,C,C
3 11 A A,A,A,A,A,A,A,B,C,C
3 12 A A,A,A,A,A,A,B,C,C
3 13 A A,A,A,A,A,B,C,C
3 14 A A,A,A,A,B,C,C
3 15 A A,A,A,B,C,C
3 16 A A,A,B,C,C
3 17 A A,B,C,C
3 18 A B,C,C
3 19 B C,C
3 20 C C
3 21 C
4 1 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,B,C
4 2 A A,A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,B,C
4 3 A A,A,A,A,A,A,A,A,A,A,A,A,A,B,B,B,C
4 4 A A,A,A,A,A,A,A,A,A,A,A,A,B,B,B,C
4 5 A A,A,A,A,A,A,A,A,A,A,A,B,B,B,C
4 6 A A,A,A,A,A,A,A,A,A,A,B,B,B,C
4 7 A A,A,A,A,A,A,A,A,A,B,B,B,C
4 8 A A,A,A,A,A,A,A,A,B,B,B,C
4 9 A A,A,A,A,A,A,A,B,B,B,C
4 10 A A,A,A,A,A,A,B,B,B,C
4 11 A A,A,A,A,A,B,B,B,C
4 12 A A,A,A,A,B,B,B,C
4 13 A A,A,A,B,B,B,C
4 14 A A,A,B,B,B,C
4 15 A A,B,B,B,C
4 16 A B,B,B,C
4 17 B B,B,C
4 18 B B,C
4 19 B C
4 20 C
This is the code I used to generate the above sample. Where am I going wrong?
CREATE TABLE #temp3
(
Scenario INT
,Vals VARCHAR(64)
,LEN INT
)
;
WITH vals AS
(
SELECT
v.*
FROM
(VALUES ('A'), ('B'), ('C')) v(x)
),
CTE AS
(
SELECT CAST('A' AS VARCHAR(MAX)) AS STR, 0 AS LEN
UNION ALL
SELECT (CTE.STR + ',' + vals.x), CTE.LEN + 1
FROM
CTE
JOIN vals
ON vals.x >= RIGHT(CTE.STR, 1)
WHERE CTE.LEN < 19
)
INSERT INTO #temp3
SELECT
ROW_NUMBER() OVER(ORDER BY STR + ',C') AS Scenario
,STR + ',C' AS Vals
,LEN
FROM
CTE
WHERE
STR + 'C' LIKE '%B%'
AND LEN = 19
;
-- Split strings created above into individual characters
WITH cte(Scenario, Value, Vals) AS
(
SELECT
Scenario
,CAST(LEFT(Vals, CHARINDEX(',',Vals+',')-1) AS VARCHAR(10)) AS Value
,STUFF(Vals, 1, CHARINDEX(',',Vals+','), '') AS Vals
FROM #temp3
UNION ALL
SELECT
Scenario
,CAST(LEFT(Vals, CHARINDEX(',',Vals+',')-1) AS VARCHAR(10))
,STUFF(Vals, 1, CHARINDEX(',',Vals+','), '')
FROM cte
WHERE Vals > ''
)
SELECT
Scenario
,ROW_NUMBER() OVER (PARTITION BY Scenario ORDER BY Scenario) RowNumber
,Value
,Vals
FROM cte t

I'm not exactly sure what the problem you are describing is, but the ROW_NUMBER() should use an ORDER BY clause that completely orders the rows in each partition.
When you use "PARTITION BY Scenario ORDER BY Scenario" the order in which the ROW_NUMBER() values are assigned is undefined. Try something like
WITH cte(Scenario, depth, Value, Vals) AS
(
SELECT
Scenario, 0 depth
,CAST(LEFT(Vals, CHARINDEX(',',Vals+',')-1) AS VARCHAR(10)) AS Value
,STUFF(Vals, 1, CHARINDEX(',',Vals+','), '') AS Vals
FROM #temp3
UNION ALL
SELECT
Scenario, depth+1
,CAST(LEFT(Vals, CHARINDEX(',',Vals+',')-1) AS VARCHAR(10))
,STUFF(Vals, 1, CHARINDEX(',',Vals+','), '')
FROM cte
WHERE Vals > ''
)
SELECT
Scenario
,depth
,ROW_NUMBER() OVER (PARTITION BY Scenario ORDER BY depth ) RowNumber
,Value
,Vals
FROM cte t