I have a dataset that is shaped like this:
I am trying to convert the data to this format:
As you can see, I'd like to sum the accounts and revenue (for each month) by State and Account Type. It is important to note that I seek a dynamic solution as these ARE NOT the only values (hard-coding is not an option!).
What SQL query can I write to accomplish this task, dynamically? (as these values are not the only ones present in the complete dataset).
Thanks!
I'm assuming you want to keep the columns in order by date, thus the top 100 percent ... order by in the section where we generate the columns
Example
Declare #SQL varchar(max) = '
Select *
From (
Select [State]
,[AccountType]
,B.*
From YourTable A
Cross Apply ( values (concat(''Accounts_'',format([Date],''MM/dd/yyyy'')),Accounts)
,(concat(''Revenue_'' ,format([Date],''MM/dd/yyyy'')),Revenue)
) B (Item,Value)
) A
Pivot (sum([Value]) For [Item] in (' + Stuff((Select ','+QuoteName('Accounts_'+format([Date],'MM/dd/yyyy'))
+','+QuoteName('Revenue_' +format([Date],'MM/dd/yyyy'))
From (Select top 100 percent [Date] from YourTable Group By [Date] Order by [Date] ) A
For XML Path('')),1,1,'') + ') ) p'
--Print #SQL
Exec(#SQL)
Returns
If it helps, the generated SQL looks like this:
Select *
From (
Select [State]
,[AccountType]
,B.*
From YourTable A
Cross Apply ( values (concat('Accounts_',format([Date],'MM/dd/yyyy')),Accounts)
,(concat('Revenue_' ,format([Date],'MM/dd/yyyy')),Revenue)
) B (Item,Value)
) A
Pivot (sum([Value]) For [Item] in ([Accounts_12/31/2017],[Revenue_12/31/2017],[Accounts_01/31/2018],[Revenue_01/31/2018]) ) p
Related
I have a table with a columns for case ID, Action, and reason.
a single case ID can have multiple rows with different actions and codes. I can pivot and get multiple rows with columns action1, action2, action3, etc., but for the life of me, can't get case id, action1, reason1, action2, reason2, etc on a single row.
If you need to go a little more dynamic (n reasons)
Drop Table #Temp
Declare #YourTable table (ID int,Action varchar(50),Reason varchar(50))
Insert Into #YourTable values
(1,'Load Data','Boss said to'),
(1,'Run Query','It is what I do'),
(2,'Take Garbage Out','Wife makes me')
-- Convert Data to EAV Structure'ish
Declare #XML xml = (Select *,GrpSeq = Row_Number() over (Partition By ID Order By (Select NULL)) from #YourTable for XML RAW)
Select ID = r.value('#ID','int')
,ColSeq = Row_Number() over (Partition By r.value('#ID','int') Order By (Select NULL))
,Element = attr.value('local-name(.)','varchar(100)')+r.value('#GrpSeq','varchar(10)')
,Value = attr.value('.','varchar(max)')
Into #Temp
From #XML.nodes('/row') as A(r)
Cross Apply A.r.nodes('./#*') AS B(attr)
Where attr.value('local-name(.)','varchar(100)') not in ('ID','GrpSeq')
-- Get Cols in correct Order
Declare #Cols varchar(max)
Set #Cols = Stuff((Select ',' + QuoteName(Element)
From (Select Distinct Top 100 Percent ColSeq,Element From #Temp Order By ColSeq ) A
For XML Path(''), Type
).value('.', 'varchar(max)'),1,1,'')
-- Execute Dynamic Pivot
Declare #SQL varchar(max) = '
Select *
From (Select ID,Element,Value From #Temp) T
Pivot (
max(Value)
For [Element] in (' + #Cols + ')
) P '
Exec(#SQL)
Returns
I have the following SQL Server query which cranks out a comma delimited list into one field.
Result looks like this 2003, 9083, 4567, 3214
Question: What would be the best way (SQL syntax) to put this into columns?
Meaning, I need these to show up as 1 column for "2003", 1 column for "9083" 1 column, for "4567" ..etc.
Obviously the number of columns would be dynamic based on the policy ID I give it . Any idea would be most appreciated.
My query is below .
SELECT DISTINCT x.ClassCode + ', '
FROM PremByClass x
WHERE x.PolicyId = 1673885
FOR XML PATH('')
If you take out the XML and the comma you are left with
SELECT DISTINCT x.ClassCode
FROM PremByClass x
WHERE x.PolicyId = 1673885
Which gives you a single column of the values, to turn this into columns you need to PIVOT it. However, you need to specify the names of the columns.
There is some more information in this answer https://stackoverflow.com/a/15931734/350188
You need PIVOT and if number of values could be different - dynamic SQL:
SELECT *
FROM (
SELECT DISTINCT ClassCode,
ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) RN
FROM PremByClass
WHERE PolicyId = 1673885
) as t
PIVOT (
MAX(ClassCode) FOR RN IN ([1],[2],[3],[4])
) as pvt
Will give you:
1 2 3 4
-----------------------------
2003 9083 4567 3214
Dynamic SQL will be something like:
DECLARE #sql nvarchar(max),
#columns nvarchar(max)
SELECT #columns = STUFF((
SELECT DISTINCT ','+QUOTENAME(ROW_NUMBER() OVER (ORDER BY (SELECT NULL)))
FROM PremByClass
WHERE PolicyId = 1673885
FOR XML PATH('')
),1,1,'')
SELECT #sql = N'
SELECT *
FROM (
SELECT DISTINCT ClassCode,
ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) RN
FROM PremByClass
WHERE PolicyId = 1673885
) as t
PIVOT (
MAX(ClassCode) FOR RN IN ('+#columns+')
) as pvt'
EXEC sp_executesql #sql
Assuming that there's a limit to the amount of numbers in that csv string.
You could cast or convert it to an xml type, and then put the values in as many columns you expect.
In this example it's assumed that there's no more than 6 values in the text:
declare #PolicyId INT = 1673885;
select PolicyId
,x.value('/x[1]','int') as n1
,x.value('/x[2]','int') as n2
,x.value('/x[3]','int') as n3
,x.value('/x[4]','int') as n4
,x.value('/x[5]','int') as n5
,x.value('/x[6]','int') as n6
from (
select
PolicyId,
cast('<x>'+replace(ClassCode,',','</x><x>')+'</x>' as xml) as x
from PremByClass
where PolicyId = #PolicyId
) q;
I tried to convert the (null) values with 0 (zeros) output in PIVOT function but have no success.
Below is the table and the syntax I've tried:
SELECT
CLASS,
[AZ],
[CA],
[TX]
FROM #TEMP
PIVOT (SUM(DATA)
FOR STATE IN ([AZ], [CA], [TX])) AS PVT
ORDER BY CLASS
CLASS AZ CA TX
RICE 10 4 (null)
COIN 30 3 2
VEGIE (null) (null) 9
I tried to use the ISNULL but did not work.
PIVOT SUM(ISNULL(DATA,0)) AS QTY
What syntax do I need to use?
SELECT CLASS,
isnull([AZ],0),
isnull([CA],0),
isnull([TX],0)
FROM #TEMP
PIVOT (SUM(DATA)
FOR STATE IN ([AZ], [CA], [TX])) AS PVT
ORDER BY CLASS
If you have a situation where you are using dynamic columns in your pivot statement you could use the following:
DECLARE #cols NVARCHAR(MAX)
DECLARE #colsWithNoNulls NVARCHAR(MAX)
DECLARE #query NVARCHAR(MAX)
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(Name)
FROM Hospital
WHERE Active = 1 AND StateId IS NOT NULL
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
SET #colsWithNoNulls = STUFF(
(
SELECT distinct ',ISNULL(' + QUOTENAME(Name) + ', ''No'') ' + QUOTENAME(Name)
FROM Hospital
WHERE Active = 1 AND StateId IS NOT NULL
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
EXEC ('
SELECT Clinician, ' + #colsWithNoNulls + '
FROM
(
SELECT DISTINCT p.FullName AS Clinician, h.Name, CASE WHEN phl.personhospitalloginid IS NOT NULL THEN ''Yes'' ELSE ''No'' END AS HasLogin
FROM Person p
INNER JOIN personlicense pl ON pl.personid = p.personid
INNER JOIN LicenseType lt on lt.licensetypeid = pl.licensetypeid
INNER JOIN licensetypegroup ltg ON ltg.licensetypegroupid = lt.licensetypegroupid
INNER JOIN Hospital h ON h.StateId = pl.StateId
LEFT JOIN PersonHospitalLogin phl ON phl.personid = p.personid AND phl.HospitalId = h.hospitalid
WHERE ltg.Name = ''RN'' AND
pl.licenseactivestatusid = 2 AND
h.Active = 1 AND
h.StateId IS NOT NULL
) AS Results
PIVOT
(
MAX(HasLogin)
FOR Name IN (' + #cols + ')
) p
')
You cannot place the IsNull() until after the data is selected so you will place the IsNull() around the final value in the SELECT:
SELECT CLASS,
IsNull([AZ], 0) as [AZ],
IsNull([CA], 0) as [CA],
IsNull([TX], 0) as [TX]
FROM #TEMP
PIVOT
(
SUM(DATA)
FOR STATE IN ([AZ], [CA], [TX])
) AS PVT
ORDER BY CLASS
Sometimes it's better to think like a parser, like T-SQL parser. While executing the statement, parser does not have any value in Pivot section and you can't have any check expression in that section. By the way, you can simply use this:
SELECT CLASS
, IsNull([AZ], 0)
, IsNull([CA], 0)
, IsNull([TX], 0)
FROM #TEMP
PIVOT (
SUM(DATA)
FOR STATE IN (
[AZ]
, [CA]
, [TX]
)
) AS PVT
ORDER BY CLASS
You have to account for all values in the pivot set. you can accomplish this using a cartesian product.
select pivoted.*
from (
select cartesian.key1, cartesian.key2, isnull(relationship.[value],'nullvalue') as [value]
from (
select k1.key1, k2.key2
from ( select distinct key1 from relationship) k1
,( select distinct key2 from relationship) k2
) cartesian
left outer join relationship on relationship.key1 = cartesian.key1 and relationship.key2 = carterisan.key2
) data
pivot (
max(data.value) for ([key2_v1], [key2_v2], [key2_v3], ...)
) pivoted
To modify the results under pivot, you can put the columns in the selected fields and then modify them accordingly. May be you can use DECODE for the columns you have built using pivot function.
Kranti A
I have encountered a similar problem. The root cause is that (use your scenario for my case), in the #temp table, there is no record for:
a. CLASS=RICE and STATE=TX
b. CLASS=VEGIE and (STATE=AZ or STATE=CA)
So, when MSSQL does pivot for no record, MSSQL always shows NULL for MAX, SUM, ... (aggregate functions).
None of above solutions (IsNull([AZ], 0)) works for me, but I do get ideas from these solutions.
Sorry, it really depends on the #TEMP table. I can only provide some suggestions.
Make sure #TEMP table have records for below condition, even Data is null.
a. CLASS=RICE and STATE=TX
b. CLASS=VEGIE and (STATE=AZ or STATE=CA)
You may need to use cartesian product: select A.*, B.* from A, B
In the select query for #temp, if you need to join any table with WHERE, then would better put where inside another sub select query. (Goal is 1.)
Use isnull(DATA, 0) in #TEMP table.
Before pivot, make sure you have achieved Goal 1.
I can't give an answer to the original question, since there is no enough info for #temp table. I have pasted my code as example here.
SELECT * FROM (
SELECT eeee.id as enterprise_id
, eeee.name AS enterprise_name
, eeee.indicator_name
, CONVERT(varchar(12) , isnull(eid.[date],'2019-12-01') , 23) AS data_date
, isnull(eid.value,0) AS indicator_value
FROM (select ei.id as indicator_id, ei.name as indicator_name, e.* FROM tbl_enterprise_indicator ei, tbl_enterprise e) eeee
LEFT JOIN (select * from tbl_enterprise_indicator_data WHERE [date]='2020-01-01') eid
ON eeee.id = eid.enterprise_id and eeee.indicator_id = enterprise_indicator_id
) AS P
PIVOT
(
SUM(P.indicator_value) FOR P.indicator_name IN(TX,CA)
) AS T
I have stuck in a select statement, converting rows into columns. I have tried with PIVOT, i was able to convert the single column. But my requirement is little different. I have explained the requirement below.
I have a table structure as below,
I want to select the data as below,
The values in the table are dynamic, which is not a problem for me to deal with that. But i need a way to get the below result.
Could someone please give me a hint on doing it, may be a way to modify the PIVOT below.
select *
from
(
select TSID,AID,Count,BID
from tbl TS
WHERE TS.TPID = 1
) src
pivot
(
sum(Count)
for AID in (AID1,AID2,AID3)
) piv
Thank you..
You may check this fiddle
EDIT
This will work for not previously known column names
DECLARE #Columns AS VARCHAR(MAX)
DECLARE #SQL AS VARCHAR(MAX)
SELECT #Columns = STUFF(( SELECT DISTINCT ',' + AID
FROM Table1
FOR
XML PATH('')
), 1, 1, '')
SET #SQL = '
;WITH MyCTE AS
(
SELECT TSID,
AID,
STUFF(( SELECT '','' + CONVERT(VARCHAR,[Count] )
FROM Table1 I Where I.TSID = O.TSID
FOR
XML PATH('''')
), 1, 1, '''') AS CountList
FROM Table1 O
GROUP BY TSID,
AID
)
SELECT *
FROM MyCTE
PIVOT
(
MAX(CountList)
FOR AID IN
(
' + #Columns + '
)
) AS PivotTable'
EXEC(#SQL)
I want to pivot and turn an existing table and generate a report(cross tabulated). You see vals column is determined by unique combination of date_a and date_e columns. I don't know how to do this.
Something like this:
Test data
CREATE TABLE #tbl(date_a DATE,date_e DATE, vals FLOAT)
INSERT INTO #tbl
VALUES
('2/29/2012','1/1/2013',28.47),
('2/29/2012','2/1/2013',27.42),
('2/29/2012','3/1/2013',24.36),
('3/1/2012','1/1/2013',28.5),
('3/1/2012','2/1/2013',27.35),
('3/1/2012','3/1/2013',24.39),
('3/6/2012','1/1/2013',27.75),
('3/6/2012','2/1/2013',26.63),
('3/6/2012','3/1/2013',23.66)
Query
SELECT
*
FROM
(
SELECT
tbl.date_a,
tbl.date_e,
vals
FROM
#tbl AS tbl
) AS SourceTable
PIVOT
(
SUM(vals)
FOR date_e IN ([1/1/2013],[2/1/2013],[3/1/2013])
) AS pvt
DROP TABLE #tbl
EDIT
If you do not know how many columns there is then you need to do a dynamic pivot. Like this:
The unique columns
DECLARE #cols VARCHAR(MAX)
;WITH CTE
AS
(
SELECT
ROW_NUMBER() OVER(PARTITION BY date_e ORDER BY date_e) AS RowNbr,
tbl.*
FROM
#tbl AS tbl
)
SELECT #cols=STUFF
(
(
SELECT
',' +QUOTENAME(date_e)
FROM
CTE
WHERE
CTE.RowNbr=1
FOR XML PATH('')
)
,1,1,'')
Dynamic pivot
DECLARE #query NVARCHAR(4000)=
N'SELECT
*
FROM
(
SELECT
tbl.date_a,
tbl.date_e,
vals
FROM
#tbl AS tbl
) AS SourceTable
PIVOT
(
SUM(vals)
FOR date_e IN ('+#cols+')
) AS pvt'
EXECUTE(#query)