How can i pivot a table with single column.
result set of my select query contains single column and 3 rows.
i.e my select query looks like :-
contactList table have following columns.
ContactID, PhNumbers, PhTYpe, ContactPersonID
select PhNumbers,PhType from contactList where ContactPersonID=3
PhNumbers PhType
1234567890 1
3456789013 2
4545466756 3
these 3 rows corresponds to 3 types of phone numbers
i need an output like this
homePhone MobilePhone WorkPhone
1234567890 3456789013 4545466756
DECLARE
#SQL varchar(MAX),
#ColumnList varchar(MAX)
SELECT #ColumnList=
COALESCE(#ColumnList + ',','') + QUOTENAME(PhNumbers)
FROM
(
SELECT DISTINCT PhNumbers
FROM contactList
) T
SET #SQL = '
WITH PivotData AS
(
SELECT PhNumbers
FROM contactList
)
SELECT
' + #ColumnList + '
FROM
PivotData
PIVOT
(
MAX(PhNumbers)
FOR PhNumbers
IN (' + #ColumnList + ')
) AS PivotResult'
EXEC (#SQL)
Got the answer. Thanks for all your help guys.
SELECT [1] as HomePhone, [2] as MobilePhone,[3] as WorkPhone,
FROM
(select PhNumbers,PhType from contactList where ContactPersonID=3) AS SourceTable
PIVOT
(
MAX(PhNumbers)
FOR PhType IN ([1],[2],[3])
) AS PivotTable;
Try this query
SELECT 1,2,3
FROM
(SELECT PhNumbers, PhType
FROM contactList where ContactPersonID=3) a
PIVOT(MAX(PhNumbers) FOR PhType IN(1,
2,
3)) r
Related
I am working in SQL Server 2014 and below is my database with which I am working on and need some analysis done on it.
Upon inspecting the database sample carefully we can notice a number 8777 in L9 and in L13 column.
Now I want to get only those columns which have 8777 in them and in the end a column named "count" which shows how many times the number appeared means I need in output something like this as shown below:
So far I have written this query which is giving the category and subcategory correct. But it is showing all the columns. I have no idea how to count the occurrences of a number and show its count in a count column.
select *
from Sheet2$
where '8777' IN ([L1],[L2],[L3],[L4],[L5],[L6],[L7],[L8],[L9],[L10],[L11],[L12],[L13]
To dynamically limit the columns, you would need Dynamic SQL
Example
Select *
Into #Temp
From YourTable A
Unpivot ( Value for Item in ([L1], [L2],[ L3], [L4], [L5], [L6], [L7], [L8], [L9], [L10], [L11], [L12], [L13]) ) u
Where Value = 8777
Declare #SQL varchar(max) = Stuff((Select Distinct ',' + QuoteName(Item) From #Temp Order by 1 For XML Path('')),1,1,'')
Select #SQL = '
Select *,[Count] = sum(1) over()
From #Temp A
Pivot (max(Value) For [Item] in (' + #SQL + ') ) p'
Exec(#SQL);
Returns
Category SubCategory L13 L9 Count
C1 SC1 NULL 8777 2
C1 SC3 8777 NULL 2
Hmmm. I think you want the original rows with the count. I think this is:
declare #cols nvarchar(max);
declare #sql nvarchar(max);
set #cols = (select distinct ', ' + v.colname
from t cross apply
(values ('l1', l1),
('l2', l2),
('l3', l3),
('l4', l4),
('l5', l5),
('l6', l6),
('l7', l7),
('l8', l8),
('l9', l9),
('l10', l10),
('l11', l11),
('l12', l12),
('l13', l13)
) v(colname, val)
where v.val = '8777'
for xml path ('')
);
set #sql = '
select category, subcategory' + #cols + ',
count(*) over () as cnt
from t
';
exec sp_executesql #sql;
The only difference from your result is that the count is on every row. That can easily be adjusted using a case expression, but I'm not sure it is necessary.
If you want the count in only one row, then:
set #sql = '
select category, subcategory' + #cols + ',
(case when row_number() over (order by category, subcategory) = 1
then count(*) over ()
end) as cnt
from t
order by category, subcategory
';
You can try this part as a replacement of John's answer's second query to get the proper count, it does not achieve the exact thing you want but can be a work around.
Declare #sql varchar(max) = Stuff((Select Distinct ',' + QuoteName(Item)
From #Temp Order by 1 For XML Path('')),1,1,'')
print #sql;
Select #SQL = '
Select *,value=8777
From #Temp A
Pivot (Count(Value) For [Item] in (' + #sql + ') ) p'
print #sql;
Exec(#SQL);
I just used count function in pivot in place of sum.
This is my data in table (left join from field table and value table)
This is my expected result table after use pivot function
Thanks for help ^___^
I suggest you to use dynamic SQL as fieldnames number may very in future:
DECLARE #columns nvarchar(max),
#sql nvarchar(max)
SELECT #columns = COALESCE(#columns,'') + ',' + QUOTENAME(c.fieldname)
FROM [Columns] c
ORDER BY c.cid
SELECT #sql = N'
SELECT *
FROM (
SELECT v.[row],
c.fieldname,
v.fieldvalue
FROM [Values] v
INNER JOIN [Columns] c
ON v.cid = c.cid
) t
PIVOT (
MAX(fieldvalue) FOR fieldname IN ('+STUFF(#columns,1,1,'')+')
) pvt'
EXEC sp_executesql #sql
Will output:
row FirstName LastName Email Phone
1 Arnun Saelim Arnun.s#outlook.com 0922743838
2 Micheal Saelim Micheal#gmail.com 0886195353
I'm not sure why group by got into your mind, but here is a working example of what you are trying to achieve.
select * into #temp from
( values
(1,'A','AV'),
(1,'B','BV'),
(1,'C','CV'),
(2,'A','AV'),
(2,'B','BV'),
(2,'C','CV'))
as t(row, FieldName, FieldValue)
select *
from #temp
PIVOT
(MAX(FieldValue) FOR FieldName in ([A],[B],[C])) as pvt
Does that work for you?
I have the following situation (heavily abstracted, please ignore bad design):
CREATE TABLE dbo.PersonTest (Id INT, name VARCHAR(255))
INSERT INTO dbo.PersonTest
(Id, name )
VALUES (1, 'Pete')
, (1, 'Marie')
, (2, 'Sam')
, (2, 'Daisy')
I am looking for the following result:
Id Name1 Name2
1 Marie Pete
2 Daisy Sam
So, for each Id, the rows should be merged.
Getting this result I used the following query:
WITH PersonRN AS
(
SELECT *
, ROW_NUMBER() OVER(PARTITION BY Id ORDER BY name) RN
FROM dbo.PersonTest
)
SELECT PT1.Id
, PT1.name Name1
, PT2.name Name2
FROM PersonRN AS PT1
LEFT JOIN PersonRN AS PT2 -- Left join in case there's only 1 name
ON PT2.Id = PT1.Id
AND PT2.RN = 2
WHERE PT1.RN = 1
Which works perfectly fine.
My question is: Is this the best way (best in terms of performance and resilience)? If, for example, one of these Id's has a third name, this third name is ignored by my query. I'm thinking the best way to deal with that would be dynamic SQL, which would be fine, but if it can be done without dynamic, I would prefer that.
Aside from dynamic PIVOT, you can do this using Dynamic Crosstab, which I prefer for readability.
SQL Fiddle
DECLARE #sql1 VARCHAR(1000) = '',
#sql2 VARCHAR(1000) = '',
#sql3 VARCHAR(1000) = ''
DECLARE #max INT
SELECT TOP 1 #max = COUNT(*) FROM PersonTest GROUP BY ID ORDER BY COUNT(*) DESC
SELECT #sql1 =
'SELECT
ID' + CHAR(10)
SELECT #sql2 = #sql2 +
' , MAX(CASE WHEN RN =' + CONVERT(VARCHAR(5), RN)
+ ' THEN name END) AS ' + QUOTENAME('Name' + CONVERT(VARCHAR(5), RN)) + CHAR(10)
FROM(
SELECT TOP(#max)
ROW_NUMBER() OVER(ORDER BY (SELECT NULL)) AS RN
FROM sys.columns
)t
ORDER BY RN
SELECT #sql3 =
'FROM(
SELECT *,
RN = ROW_NUMBER() OVER(PARTITION BY ID ORDER BY name)
FROM PersonTest
)t
GROUP BY ID
ORDER BY ID'
PRINT (#sql1 + #sql2 + #sql3)
EXEC (#sql1 + #sql2 + #sql3)
Currently building a SELECT statement in SQL Server 2008 but would like to make this SELECT statement dynamic, so the columns can be defined based on values in a table. I heard about pivot table and cursors, but seems kind of hard to understand at my current level, here is the code;
DECLARE #date DATE = null
IF #date is null
set # date = GETDATE() as DATE
SELECT
Name,
value1,
value2,
value3,
value4
FROM ref_Table a
FULL OUTER JOIN (
SELECT
PK_ID ID,
sum(case when FK_ContainerType_ID = 1 then 1 else null) Box,
sum(case when FK_ContainerType_ID = 2 then 1 else null) Pallet,
sum(case when FK_ContainerType_ID = 3 then 1 else null) Bag,
sum(case when FK_ContainerType_ID = 4 then 1 else null) Drum
from
Packages
WHERE
#date between PackageStart AND PackageEnd
group by PK_ID ) b on a.Name = b.ID
where
Group = 0
The following works great for me , but PK_Type_ID and the name of the column(PackageNameX,..) are hard coded, I need to be dynamic and it can build itself based on present or futures values in the Package table.
Any help or guidance on the right direction would be greatly appreciated...,
As requested
ref_Table (PK_ID, Name)
1, John
2, Mary
3, Albert
4, Jane
Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
1 , 1, 4, 1JAN2014, 30JAN2014
2 , 2, 3, 1JAN2014, 30JAN2014
3 , 3, 2, 1JAN2014, 30JAN2014
4 , 4, 1, 1JAN2014, 30JAN2014
ContainerType (PK_ID, Type)
1, Box
2, Pallet
3, Bag
4, Drum
and the result should look like this;
Name Box Pallet Bag Drum
---------------------------------------
John 1
Mary 1
Albert 1
Jane 1
The following code like I said works great, the issue is the Container table is going to grow and I need to replicated the same report without hard coding the columns.
What you need to build is called a dynamic pivot. There are plenty of good references on Stack if you search out that term.
Here is a solution to your scenario:
IF OBJECT_ID('tempdb..##ref_Table') IS NOT NULL
DROP TABLE ##ref_Table
IF OBJECT_ID('tempdb..##Packages') IS NOT NULL
DROP TABLE ##Packages
IF OBJECT_ID('tempdb..##ContainerType') IS NOT NULL
DROP TABLE ##ContainerType
SET NOCOUNT ON
CREATE TABLE ##ref_Table (PK_ID INT, NAME NVARCHAR(50))
CREATE TABLE ##Packages (PK_ID INT, FK_ref_Table_ID INT, FK_ContainerType_ID INT, PackageStartDate DATE, PackageEndDate DATE)
CREATE TABLE ##ContainerType (PK_ID INT, [Type] NVARCHAR(50))
INSERT INTO ##ref_Table (PK_ID,NAME)
SELECT 1,'John' UNION
SELECT 2,'Mary' UNION
SELECT 3,'Albert' UNION
SELECT 4,'Jane'
INSERT INTO ##Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
SELECT 1,1,4,'2014-01-01','2014-01-30' UNION
SELECT 2,2,3,'2014-01-01','2014-01-30' UNION
SELECT 3,3,2,'2014-01-01','2014-01-30' UNION
SELECT 4,4,1,'2014-01-01','2014-01-30'
INSERT INTO ##ContainerType (PK_ID, [Type])
SELECT 1,'Box' UNION
SELECT 2,'Pallet' UNION
SELECT 3,'Bag' UNION
SELECT 4,'Drum'
DECLARE #DATE DATE, #PARAMDEF NVARCHAR(MAX), #COLS NVARCHAR(MAX), #SQL NVARCHAR(MAX)
SET #DATE = '2014-01-15'
SET #COLS = STUFF((SELECT DISTINCT ',' + QUOTENAME(T.[Type])
FROM ##ContainerType T
FOR XML PATH, TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'')
SET #SQL = 'SELECT [Name], ' + #COLS + '
FROM (SELECT [Name], [Type], 1 AS Value
FROM ##ref_Table R
JOIN ##Packages P ON R.PK_ID = P.FK_ref_Table_ID
JOIN ##ContainerType T ON P.FK_ContainerType_ID = T.PK_ID
WHERE #DATE BETWEEN P.PackageStartDate AND P.PackageEndDate) X
PIVOT (COUNT(Value) FOR [Type] IN (' + #COLS + ')) P
'
PRINT #COLS
PRINT #SQL
SET #PARAMDEF = '#DATE DATE'
EXEC SP_EXECUTESQL #SQL, #PARAMDEF, #DATE=#DATE
Output:
Name Bag Box Drum Pallet
Albert 0 0 0 1
Jane 0 1 0 0
John 0 0 1 0
Mary 1 0 0 0
Static Query:
SELECT [Name],[Box],[Pallet],[Bag],[Drum] FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( [Box],[Pallet],[Bag],[Drum])
) AS PivotTable
) AS Main
ORDER BY RFID
Dynamic Query:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + [Type] + ']'
FROM ContanerType
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT [Name],' + #columnList + ' FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( ' + #columnList + ')
) AS PivotTable
) AS Main
ORDER BY RFID;'
EXEC sp_executesql #pivotsql
Following my tutorial below will help you to understand the PIVOT functionality:
We write sql queries in order to get different result sets like full, partial, calculated, grouped, sorted etc from the database tables. However sometimes we have requirements that we have to rotate our tables. Sounds confusing?
Let's keep it simple and consider the following two screen grabs.
SQL Table:
Expected Results:
Wow, that's look like a lot of work! That is a combination of tricky sql, temporary tables, loops, aggregation......, blah blah blah
Don't worry let's keep it simple, stupid(KISS).
MS SQL Server 2005 and above has a function called PIVOT. It s very simple to use and powerful. With the help of this function we will be able to rotate sql tables and result sets.
Simple steps to make it happen:
Identify all the columns those will be part of the desired result set.
Find the column on which we will apply aggregation(sum,ave,max,min etc)
Identify the column which values will be the column header.
Specify the column values mentioned in step3 with comma separated and surrounded by square brackets.
So, if we now follow above four steps and extract information from the above sales table, it will be as below:
Year, Month, SalesAmount
SalesAmount
Month
[Jan],[Feb] ,[Mar] .... etc
We are nearly there if all the above steps made sense to you so far.
Now we have all the information we need. All we have to do now is to fill the below template with required information.
Template:
Our SQL query should look like below:
SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( [Jan],[Feb] ,[Mar],
[Apr],[May],[Jun] ,[Jul],
[Aug],[Sep] ,[Oct],[Nov] ,[Dec])
) AS PivotTable;
In the above query we have hard coded the column names. Well it's not fun when you have to specify a number of columns.
However, there is a work arround as follows:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + SalesMonth + ']'
FROM Sales
GROUP BY SalesMonth
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( ' + #columnList +' )
) AS PivotTable;'
EXEC sp_executesql #pivotsql
Hopefully this tutorial will be a help to someone somewhere.
Enjoy coding.
This is probably simple but I"m just not seeing it. Your help is appreciated. I have a table in MS SQLServer that looks like this
CustomerID Time ItemID
1 2008-10-07 06:32:53:00.000 87432
1 2008-10-07 06:32:53:00.000 26413
2 2010-06-23 03:45:10:00.000 6312
2 2011-09-14 07:36:03:00.000 87432
2 2011-09-14 07:36:03:00.000 87432
I want to end up with a table that has each customer, the timestamp and the count of the items purchased during that timestamp, that looks like this
CustomerID Time 87432 26413 6312
1 2008-10-07 06:32:53:00.000 1 1 0
2 2010-06-23 03:45:10:00.000 0 0 1
2 2011-09-14 07:36:03:00.000 2 0 0
In the source table, the time and itemID are variable (and plentiful), so I'm thinking a dynamic pivot will do the trick. Is this possible to do with pivot? If so, how?
You can do this with a dynamic PIVOT. This will count the number of ItemIds that you have for any number of Times.
See a SQL Fiddle with a Demo. This demo leaves the time as a varchar as you stated they were. But this will work if the data is a datetime as well.
Since you want time in the final result, then when you select the columns, you will need to add the time column twice. I called it time1 and time. This allows you to aggregate on time1 in the PIVOT and still have a time column for your final product.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(itemid)
from temp
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT customerid, [time], ' + #cols + ' from
(
select customerid, [time] as time1, [time] as [time], itemid
from temp
) x
pivot
(
count([time1])
for itemid in (' + #cols + ')
) p '
execute(#query)
Approach #1 - Click here to see Demo
Declare #ItemIDs varchar(1000) = ''
Declare #Query varchar(8000) = ''
Select #ItemIDs = ISNULL(QuoteName(Convert(varchar, ItemID)) + ',', '')
+ #ItemIDs
From
(
Select distinct ItemID From #MyTable
)K
SET #ItemIDs = SUBSTRING(#ItemIDs,0,len(#ItemIDs))
SET #Query = 'Select CustomerID, [Time],' +
#ItemIDs + ' From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN (' + #ItemIDs + ')
) AS pvt'
EXEC(#Query)
Approach #2 - Click here to see Demo
Select CustomerID, [Time], [87432] as [87432],
[26413] as [26413], [6312] as [6312] From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN ([87432] , [26413],[6312])
) AS pvt