Is this possible with SQL Server - sql

I have a table which has events and the day they occurred:
Table 'Events':
Name Day
-----------
A 1
B 2
A 2
B 3
I need output columns to be a date range based on query input with rows being which event happened on the day so:
Desired output:
Day-1 Day-2 Day-3
-----------------
A A -
- B B
If this is possible can anyone give me a sample query that could generate this output based on a date range. There are all sorts of I have no clue how to even approach this issues here like an unknown number of columns.

You can use conditional aggregation:
select max(case when day = 1 then name end) as day_1,
max(case when day = 2 then name end) as day_2,
max(case when day = 3 then name end) as day_3
from t
group by name;
Note: This returns NULL rather than -. I think NULL makes more sense.

Try this one...
Table Script and Sample data
CREATE TABLE [TableName](
[Name] [nvarchar](50) NULL,
[Day] [int] NULL
)
INSERT [TableName] ([Name], [Day]) VALUES (N'A', 1)
INSERT [TableName] ([Name], [Day]) VALUES (N'B', 2)
INSERT [TableName] ([Name], [Day]) VALUES (N'A', 2)
INSERT [TableName] ([Name], [Day]) VALUES (N'B', 3)
Query (dynamic PIVOT)
DECLARE #startDay AS INT;
DECLARE #endDay AS INT;
SET #startDay = 1;
SET #endDay = 3;
DECLARE #cols AS NVARCHAR(max) = Stuff((SELECT DISTINCT ',' + Quotename([day])
FROM TableName
WHERE [Day] >= #startDay AND [Day] <= #endDay
FOR xml path(''), type).value('.', 'NVARCHAR(MAX)'), 1, 1, '');
DECLARE #query AS NVARCHAR(max) = 'SELECT '+ #cols +'
FROM (SELECT *,
Dense_rank() OVER (ORDER BY NAME) AS dr
FROM TableName) sq
PIVOT(Max([name])
FOR [day] IN ('+ #cols +') ) pvt ';
EXECUTE(#query)
Output
+--------+---+--------+
| 1 | 2 | 3 |
+--------+---+--------+
| A | A | (null) |
| (null) | B | B |
+--------+---+--------+
Online Demo: http://www.sqlfiddle.com/#!18/c688b/8/0
If you also want to use custom column name, try this...
DECLARE #startDay AS INT;
DECLARE #endDay AS INT;
SET #startDay = 1;
SET #endDay = 3;
DECLARE #cols AS NVARCHAR(max) = Stuff((SELECT DISTINCT ',' + Quotename([day])
FROM TableName
WHERE [Day] >= #startDay AND [Day] <= #endDay
FOR xml path(''), type).value('.', 'NVARCHAR(MAX)'), 1, 1, '');
DECLARE #colNames AS NVARCHAR(max) = Stuff((SELECT DISTINCT ',' + Quotename([day]) + ' AS Days' + CONVERT(NVARCHAR(MAX), [day])
FROM TableName
WHERE [Day] >= #startDay AND [Day] <= #endDay
FOR xml path(''), type).value('.', 'NVARCHAR(MAX)'), 1, 1, '');
DECLARE #query AS NVARCHAR(max) = 'SELECT '+ #colNames +'
FROM (SELECT *,
Dense_rank() OVER (ORDER BY NAME) AS dr
FROM TableName) sq
PIVOT(Max([name])
FOR [day] IN ('+ #cols +') ) pvt ';
EXECUTE(#query)
Output
+-------+-------+-------+
| Days1 | Days2 | Days3 |
+-------+-------+-------+
| A | A | NULL |
| NULL | B | B |
+-------+-------+-------+
Online Demo: http://www.sqlfiddle.com/#!18/c688b/9/0

Related

How to transform rows into column in SQL Server?

Using MS SQL Server and I have below table:
+-----------+------------------+------------------+---------------------+-------------------------+
| SrNo | ApprCode | ApprName | ApprStatus | ApprDate |
+-----------+------------------+------------------+---------------------+-------------------------+
| SR_176 | X001 | James | APR | 2019-10-03 |
| SR_176 | X002 | Sam | APR | 2019-10-03 |
+-----------+------------------+------------------+---------------------+-------------------------+
Tried with PIVOT but its showing james and X001 as a column heading:
Expected Result:
+-----------+-------------- +---------------+---------------------+-------------------------+------------------+
SrNo | ApprCode_1 | ApprName_1 | ApprDate_2 ApprCode_2 ApprName_2 ApprDate_2
+-----------+---------------+---------------+---------------------+-------------------------+------------------+
SR_176 X001 James 2019-10-03 X002 Sam 2019-10-03
+-----------+---------------+---------------+---------------------+---- ---------------------+------------------+
Query to generate data:
CREATE TABLE #Temp
(
SrNo NVARCHAR(200),
ApprCode NVARCHAR(200),
ApprName NVARCHAR(200),
ApprDate Date
)
INSERT INTO #Temp VALUES ('SR_176','X001','James', '2019-10-03')
INSERT INTO #Temp VALUES ('SR_176','X002','Sam', '2019-10-03')
Query that I tried:
declare #sql nvarchar(max)
declare #name_concat nvarchar(max)
declare #name1_concat nvarchar(max)
declare #select_aggs nvarchar(max)
select #name_concat = STUFF((select distinct ',' + quotename(ApprCode) from #Temp order by 1 for xml path('')), 1, 1, '')
select #name1_concat = STUFF((select distinct ',' + quotename(ApprName) from #Temp order by 1 for xml path('')), 1, 1, '')
select #sql = '
;with cte2 as
(
SELECT SrNo,' + #name_concat + ',' + #name1_concat + '
FROM #Temp
PIVOT(MAX(ApprCode)
FOR ApprCode IN (' + #name_concat + ')) AS PVTTable PIVOT
(
MAX(ApprName)
FOR ApprName IN (' + #name1_concat + ')) AS PVTTable1
)
select * from cte2
'
exec sp_executesql #sql
In fact, This is not a SQL Pivot situation and the sample data for question is not enough to test it completely but you can find the main idea :
Select
SrNo,
MAX(IIF(ApprCode = 'X001', ApprCode, null)) as ApprCode_1,
MAX(IIF(ApprCode = 'X001', ApprName, null)) as ApprName_1,
MAX(IIF(ApprCode = 'X001', ApprDate, null)) as ApprDate_1,
MAX(IIF(ApprCode = 'X002', ApprCode, null)) as ApprCode_2,
MAX(IIF(ApprCode = 'X002', ApprName, null)) as ApprName_2,
MAX(IIF(ApprCode = 'X002', ApprDate, null)) as ApprDate_2
From #Temp
Group by SrNo
This code works if ApprCode was the key to make two separate columns & SrNo is for the group by between rows.
I solved it by using ROW_NUMBER() and Case Expression:
Here is the query:
SELECT *,
Row_number()
OVER(
partition BY srno
ORDER BY apprdate) AS RN
INTO #temptable
FROM #temp
SELECT srno,
CASE rn
WHEN 1 THEN Max(apprname)
END AS [1 Approver],
CASE rn
WHEN 2 THEN Max(apprname)
END AS [2 Approver],
CASE rn
WHEN 1 THEN Max(apprcode)
END AS [1 ApproverCode],
CASE rn
WHEN 2 THEN Max(apprcode)
END AS [2 ApproverCode],
CASE rn
WHEN 1 THEN Max(apprdate)
END AS [1 Date],
CASE rn
WHEN 2 THEN Max(apprdate)
END AS [2 Date]
INTO #james
FROM #temptable
GROUP BY srno,
rn
SELECT srno,
Max([1 approver]) AS ApproverName_1,
Max([1 approvercode]) AS ApproverCode_1,
Max([1 date]) AS ApproverDate_1,
Max([2 approver]) AS ApproverName_2,
Max([2 approvercode]) AS ApproverCode_2,
Max([2 date]) AS ApproverDate_2
FROM #james
GROUP BY srno

SQL How to pivot two columns of data into different columns?

This is the table I have:
| Scheme Code | MonthYear | Revenue | Revenue2 |
|-------------|-----------|---------|----------|
| 18VDA | 2018.1 | 100 | 50 |
| 18VDA | 2018.2 | 200 | 100 |
| 18VDA | 2018.3 | 200 | 150 |
and I want to pivot it to like this:
| Scheme Code | 2018.1 A | 2018.2 A | 2018.3 A | 2018.1 B | 2018.2 B | 2018.3 B |
|-------------|----------|----------|----------|----------|----------|----------|
| 18VDA | 100 | 200 | 200 | 50 | 100 | 150 |
How do I do it so that it pivots in MonthYear, but it duplicates it for both Revenue and Revenue2?
Thanks
EDIT: Messed up the output table I was hoping for! I've edited the actual output table I want to see!
EDIT 2:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
Select #cols = STUFF((SELECT ',' + QUOTENAME([MonthYear])
from tableA
group by [MonthYear]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT *
FROM ( SELECT [Scheme Code], MonthYear ,[Revenue]
FROM TableA
) a
PIVOT(sum(Revenue) for MonthYear in (' + #cols + ')
) as RevenueMonth
ORDER BY [Scheme Code]'
execute(#query);
This code I wrote will do it for just one column, and I get the output like this:
| Scheme Code | 2018.1 | 2018.2 | 2018.3 |
|-------------|--------|--------|--------|
| 18VDA | 100 | 200 | 200 |
My suggestion always is to try to write your query as a hard-coded or static version first before diving into dynamic SQL. This let's you get the final result you want with a smaller subset of data and you can verify that you have the logic correct.
I would tackle this by performing an UNPIVOT of the two Revenue columns first, then look at applying the PIVOT function. To UNPIVOT you can use either the UNPIVOT function or you can use CROSS APPLY with a UNION ALL to convert your two Revenue columns into a single column. A static version of the query would be similar to this:
select *
from
(
select
t.[Scheme Code],
new_colname = concat(t.[MonthYear], ' ', r.colname),
r.colvalue
from yourtable t
cross apply
(
select 'A', Revenue union all
select 'B', Revenue2
) r (colname, colvalue)
) d
pivot
(
sum(colvalue)
for new_colname in ([2018.1 A], [2018.2 A], [2018.3 A], [2018.1 B], [2018.2 B], [2018.3 B])
) p;
You'll notice that in the CROSS APPLY I added a column with the A or B that I use to identify either the Revenue or Revenue2 columns. This is then used to create the new column names for the PIVOT.
This should generate the result you want. Now to do this dynamically, you just need to convert the SQL to dynamic code. You can use the following to get the result:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
Select #cols = STUFF((SELECT ',' + QUOTENAME(concat([MonthYear], x.col))
from yourtable
cross join (select col = ' A' union all select ' B') x
group by [MonthYear], x.col
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT *
FROM
(
select
t.[Scheme Code],
new_colname = concat(t.[MonthYear], '' '', r.colname),
r.colvalue
from yourtable t
cross apply
(
select ''A'', Revenue union all
select ''B'', Revenue2
) r (colname, colvalue)
) a
PIVOT
(
sum(colvalue) for new_colname in (' + #cols + ')
) as x
ORDER BY [Scheme Code]';
exec sp_executesql #query;
Both of these should generate the same results (dbfiddle demo)
Do it with CASE and dynamic sql.
DECLARE #colsA AS NVARCHAR(MAX),
#colsB AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #colsA = (SELECT ', sum(case [MonthYear] when ''' + [MonthYear] + ''' then Revenue end)' + QUOTENAME([MonthYear] + ' A')
from tableA
group by [MonthYear]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'),
#colsB = (SELECT ', sum(case [MonthYear] when ''' + [MonthYear] + ''' then Revenue2 end)' + QUOTENAME([MonthYear] + ' B')
from tableA
group by [MonthYear]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)');
Set #query = 'select [Scheme Code]' + #colsA + #colsB + ' from TableA group by [Scheme Code] order by [Scheme Code];';
print #query;

How to pivot the given structure to expected one?

I have queries results as in the image, similarly for 90 date's, so how to group object and make date's as columns and count to respective date's.
Thanks in advance!!
You can do it using a dynamic crosstab:
SQL Fiddle
DECLARE #sql1 VARCHAR(4000) = ''
DECLARE #sql2 VARCHAR(4000) = ''
DECLARE #sql3 VARCHAR(4000) = ''
SELECT #sql1 =
'SELECT
[Object]' + CHAR(10)
SELECT #sql2 = #sql2 +
' , MAX(CASE WHEN [Date] = CAST(''' + CONVERT(VARCHAR(8), [Date], 112) + ''' AS DATE) THEN [count] END) AS ' + QUOTENAME([Date]) + CHAR(10)
FROM(
SELECT DISTINCT [Date] FROM tbl
)t
ORDER BY [Date]
SELECT #sql3 =
'FROM tbl
GROUP BY [Object]
ORDER BY [Object]'
PRINT(#sql1 + #sql2 + #sql3)
EXEC (#sql1 + #sql2 + #sql3)
RESULT
| Object | 2015-01-01 | 2015-01-02 |
|--------|------------|------------|
| 1 | 10 | 34 |
| 2 | 20 | 46 |
| 3 | 130 | 78 |
| 4 | 40 | 89 |
| 5 | 55 | 45 |
This is the output of the PRINT command:
SELECT
[Object]
, MAX(CASE WHEN [Date] = CAST('20150101' AS DATE) THEN [count] END) AS [2015-01-01]
, MAX(CASE WHEN [Date] = CAST('20150102' AS DATE) THEN [count] END) AS [2015-01-02]
FROM tbl
GROUP BY [Object]
ORDER BY [Object]
You can use SQL Server PIVOT relational operator
DECLARE #SQLQuery AS NVARCHAR(MAX)
DECLARE #PivotColumns AS NVARCHAR(MAX)
--Get unique values of pivot column
SELECT #PivotColumns= COALESCE(#PivotColumns + ',','') + QUOTENAME([Date])
FROM (SELECT DISTINCT [Date] FROM [dbo].[PivotExample]) AS PivotExample
--Create the dynamic query with all the values for
--pivot column at runtime
SET #SQLQuery =
N'SELECT ObjectId, ' + #PivotColumns + '
FROM [dbo].[PivotExample]
PIVOT( SUM(COUNT)
FOR [Date] IN (' + #PivotColumns + ')) AS P'
EXEC sp_executesql #SQLQuery

Format Jagged data gained from dynamic pivot

I need to format and extract some data from a database. While I can extract the data successfully I am struggling with the jagged nature of it.
What I have is the following:
create table temp
(
QuestionID INT,
AnswerID INT,
AnswerValue NVARCHAR(50)
)
insert into temp values (1, 1, 'Ans C')
insert into temp values (1, 2, 'Ans B')
insert into temp values (1, 3, 'Ans A')
insert into temp values (2, 4, 'Ans D')
insert into temp values (2, 5, 'Ans E')
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(c.AnswerID)
FROM temp c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT QuestionID, ' + #cols + ' from
(
select QuestionID
, AnswerValue
, AnswerID
from temp
) x
pivot
(
max(AnswerValue)
for AnswerID in (' + #cols + ')
) p '
execute(#query)
drop table temp
Executed this produces
+------------+-------+-------+-------+-------+-------+
| QuestionID | 1 | 2 | 3 | 4 | 5 |
+------------+-------+-------+-------+-------+-------+
| 1 | Ans C | Ans B | Ans A | NULL | NULL |
| 2 | NULL | NULL | NULL | Ans D | Ans E |
+------------+-------+-------+-------+-------+-------+
I just need to format it like this
+------------+-------+-------+-------+
| QuestionID | Q1 | Q2 | Q3 |
+------------+-------+-------+-------+
| 1 | Ans C | Ans B | Ans A |
| 2 | NULL | Ans D | Ans E |
+------------+-------+-------+-------+
Note due to restrictions this needs to be done in SQL rather than an advanced language such as c#.
A few things are wrong with the code. First, you are creating your column list using the AnswerID so the data is being split across multiple columns instead of the Answer for each question.
In order to fix this, you'll want to use a windowing function like row_number() to create a sequence for each question/answer combination.
When creating your dynamic columns change the code to be:
SET #cols = STUFF((SELECT ',' + QUOTENAME('Q'+cast(rn as varchar(10)))
FROM
(
SELECT rn = row_number() over(partition by QuestionID
order by AnswerID)
FROM temp
) c
group by rn
order by rn
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
This will use row_number() and will create the column names based on the QuestionID. Then you'll include the row_number() in your subquery making your code:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
SET #cols = STUFF((SELECT ',' + QUOTENAME('Q'+cast(rn as varchar(10)))
FROM
(
SELECT rn = row_number() over(partition by QuestionID
order by AnswerID)
FROM temp
) c
group by rn
order by rn
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT QuestionID, ' + #cols + '
from
(
select QuestionID
, AnswerValue
, col = ''Q''+ cast(row_number() over(partition by QuestionID
order by AnswerID) as varchar(10))
from temp
) x
pivot
(
max(AnswerValue)
for col in (' + #cols + ')
) p '
exec sp_executesql #query;
See SQL Fiddle with Demo. This gives a result:
| QUESTIONID | Q1 | Q2 | Q3 |
|------------|-------|-------|--------|
| 1 | Ans C | Ans B | Ans A |
| 2 | Ans D | Ans E | (null) |
You can use this part of code:
SELECT 'A' + CAST(ROW_NUMBER() OVER(PARTITION BY QuestionID ORDER BY Answer) AS VARCHAR(10)) AS cName
FROM tblAnswers
in order to generate the column names required. The above gives you sth like:
cName
-----
A1
A2
A3
A1
A2
You can subsequently use the above in your dynamic pivot to obtain the desired result:
DECLARE #cols AS NVARCHAR(MAX), #query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(a.cName)
FROM (
SELECT 'A' + CAST(ROW_NUMBER() OVER(PARTITION BY QuestionID ORDER BY Answer) AS VARCHAR(10)) AS cName
FROM tblAnswers
) a
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'),1,1,'')
set #query = 'SELECT Question, ' + #cols + ' ' +
'FROM (
SELECT q.Question, a.Answer,
''A'' + CAST(ROW_NUMBER() OVER(PARTITION BY a.QuestionID ORDER BY Answer) AS VARCHAR(10)) AS cName
FROM tblAnswers AS a
INNER JOIN tblQuestions AS q ON a.QuestionID = q.QuestionID
) t
PIVOT
(
MAX(t.Answer)
FOR cName in (' + #cols + ')
) Pvt '
execute(#query)
Output from above looks like:
Question A1 A2 A3
-----------------------------------
Q1 Answer1 Answer2 Answer3
Q2 Answer4 Answer5 NULL
SQL Fiddle demo here

SQL Transpose table - sqlserver [duplicate]

This question already has answers here:
Efficiently convert rows to columns in sql server
(5 answers)
Closed 8 years ago.
i have the following table
create table mytab (
mID int primary key,
pname varchar(100) not null,
pvalue varchar(100) not null
)
example data looks like
mID |pname |pvalue
-----------------------
1 |AAR | 2.3
1 |AAM | 1.2
1 |GXX | 5
2 |AAR | 5.4
2 |AAM | 3.0
3 |AAR | 0.2
I want to flip the table so that i get
mID | AAR | AAM | GXX|
---------------------------------
1 | 2.3 | 1.2 | 5|
2 | 5.4 | 3.0 | 0|
3 | 0.2 | 0 | 0
Is this somehow possible and if so, is there a way to create a dynamic query because there are lots of these pname pvalue pairs
Write Dynamic Pivot Query as:
DECLARE #cols AS NVARCHAR(MAX)
DECLARE #query AS NVARCHAR(MAX)
DECLARE #colsFinal AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' +
QUOTENAME(pname)
FROM mytab
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '')
select #colsFinal = STUFF((SELECT distinct ',' +
'ISNULL('+QUOTENAME(pname)+',0) AS '+ QUOTENAME(pname)
FROM mytab
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '')
--Edited query to replace null with 0 in Final result set.
SELECT #query = 'SELECT mID, '+#colsFinal +'
FROM mytab
PIVOT
(
MAX(pvalue)
FOR pname IN(' + #cols + ')) AS p;'
exec sp_executesql #query
Check demo here..
Use pivot as following format:
select *
From (select *
From mytab)p
PIVOT(SUM(pvalue) FOR pname IN ([AAR],[AAM],[GXX]))pvt
In order to dynamic PIVOT use flowing reference:
Dynamic PIVOT Sample1
Dynamic PIVOT Sample2
Declare #t table (mID INT, pname VARCHAR(10), pvalue FLOAT)
INSERT INTO #t (mID,pname,pvalue)values (1,'AAR',2.3)
INSERT INTO #t (mID,pname,pvalue)values (1,'AAM', 1.2)
INSERT INTO #t (mID,pname,pvalue)values (1,'GXX', 5)
INSERT INTO #t (mID,pname,pvalue)values (2,'AAR', 5.4)
INSERT INTO #t (mID,pname,pvalue)values (2,'AAM', 0.3)
INSERT INTO #t (mID,pname,pvalue)values (3,'AAR', 0.2)
select mid,
CASE WHEN [AAR]IS NOT NULL THEN [AAR] ELSE ISNULL([AAR],0)END [AAR],
CASE WHEN [AAM]IS NOT NULL THEN [AAM] ELSE ISNULL([AAM],0)END [AAM],
CASE WHEN [GXX]IS NOT NULL THEN [GXX] ELSE ISNULL([GXX],0)END [GXX]
from
(
select mID, pvalue,pname
from #t
) d
pivot
(
max(pvalue)
for pname in ( [AAR], [AAM], [GXX])
) piv;