I'm looking for an efficient way to convert rows to columns with dynamic column names in SQL Server. I heard that PIVOT is not very fast, and I need to deal with a lot of records.
This is my example:
Id Name Type Address
----------------------------------
1 A Vendor Add1
2 B Vendor Add2
3 C Purchaser Add3
4 D Agent Add4
Required result:
Vendor Name Vendor Address Vendor 1 Name Vendor 1 Address Purchaser Name Purchaser Address Agent Name Agent Address
A Add1 B Add2 C Add3 D Add4
How can I build the result in which column names will create dynamic like if first value is vendor and if second time vendor will come then it will display look like vendor 1 + Name or Address?
You could use following table:
CREATE TABLE TEMP (
DATE DATETIME
,category VARCHAR(3)
,amount MONEY
)
INSERT INTO TEMP
VALUES (
'1/1/2012'
,'ABC'
,1000.00
)
INSERT INTO TEMP
VALUES (
'2/1/2012'
,'DEF'
,500.00
)
INSERT INTO TEMP
VALUES (
'2/1/2012'
,'GHI'
,800.00
)
INSERT INTO TEMP
VALUES (
'2/10/2012'
,'DEF'
,700.00
)
INSERT INTO TEMP
VALUES (
'3/1/2012'
,'ABC'
,1100.00
)
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(c.category)
FROM temp c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT date, ' + #cols + ' from
(
select date
, amount
, category
from temp
) x
pivot
(
max(amount)
for category in (' + #cols + ')
) p '
execute(#query)
drop table temp
Related
I have Two SQL Table
1st Table Name :- AttributeType
ID
Name
1
Name
2
Address
3
Amount
2nd Table Name :- AttributeValue
ID
AttributeId
Value
1
1
John
2
2
Ohio,USA
3
3
500$
I want to combine this two table and join with other table column name will be display as per value in Attribute type table (if there is 5 rows, 5 column will be display in output table)
Output would be
Output table
ID
Name
Address
Amount
1
John
Ohio,USA
500$
I don't have idea about how to write query
Can anyone help me?
Thanks in advance.
I have added some changes to the data given above. Your Table column name and value is same which is a problem when using pivoting logic. So I changed it. ID id taken indirectly using rownumber. if we use id provided in the table, it will not give you proper result.
create table AttributeType
(ID int
,[AttName] varchar(100) --Changed to [AttName]
)
insert into AttributeType values (1, 'Name')
,(2,'Address')
,(3, 'Amount')
Create table AttributeValue
(
ID int
, AttributeId int
, [Value] varchar(100)
)
insert into AttributeValue values (1,1,'John')
,(2,2, 'Ohio,USA')
,(3,3, '500$')
SELECT
ROW_NUMBER() OVER (ORDER BY [Name]) as ID ,[Name], address, Amount FROM
(
SELECT
[a].[AttName]
,[av].[Value]
FROM AttributeValue av
INNER JOIN AttributeType [a]
ON a.ID = av.AttributeId
) as [sourceTable]
PIVOT
(
MAX([sourceTable].[Value] ) FOR [sourceTable].[AttName] IN ([Name], [Address],[Amount])
) AS pivoted
Dynamic Approach
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(a.[AttName])
FROM AttributeType [a]
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT ROW_NUMBER() OVER (ORDER BY [Name]) as ID , ' + #cols + ' from
(
SELECT
[a].[AttName]
,[av].[Value]
FROM AttributeValue av
INNER JOIN AttributeType [a]
ON a.ID = av.AttributeId
) as [sourceTable]
pivot
(
MAX([sourceTable].[Value] ) FOR
[sourceTable].[AttName] in (' + #cols + ')
) as pivoted '
execute(#query)
We can use pivoting logic here:
SELECT
av.ID,
MAX(CASE WHEN at.Name = 'Name' THEN av.Value END) AS Name,
MAX(CASE WHEN at.Name = 'Address' THEN av.Value END) AS Address,
MAX(CASE WHEN at.Name = 'Amount' THEN av.Value END) AS Amount
FROM AttributeValue av
INNER JOIN AttributeType at
ON at.ID = av.AttributeId
GROUP BY
av.ID;
Note: There appears to be a type in your AttributeValue table. In order for this to work, all ID values for a given person should have the same value. In this case, all three sample records should have an ID value of 1.
I have a table which i would like to pivot to show how many categories a person is affiliated with...
I would like to pivot this to show:
There are a lot more members and categories but the theory i believe should be the same.
I have attempted this however it only shows the first line for each.
Thanks in advance
Will
#Will, this is the logic you need. Basically a pivot function on the column of interest.
DECLARE #tbl TABLE (RegNo varchar(20), Category varchar(20), Number int)
INSERT INTO #tbl
SELECT 'R1050162', 'Gym', 1 UNION ALL
SELECT 'R1050162', 'Personal Trainer', 1 UNION ALL
SELECT 'R0093126', 'Group Exercise', 1 UNION ALL
SELECT 'R0143614', 'Yoga Teacher', 1
SELECT *
FROM
#tbl
PIVOT
(
SUM(Number)
FOR Category IN ([Gym], [Personal Trainer], [Group Exercise], [Yoga Teacher]
)
) AS PivotTable;
Output is below:
You need to use just sum the Number field in PIVOT function and for numerous categories get a category list:
DECLARE #categories AS NVARCHAR(MAX),
#your_query AS NVARCHAR(MAX);
select #categories = STUFF((SELECT distinct ',' + QUOTENAME(Category)
FROM your_table
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT RegNo, ' + #categories + ' from
(
SELECT RegNo, Category, Number FROM your_table) tab
PIVOT
(
SUM(Number)
FOR Category IN (' + #categories + ')
) p iv
ORDER BY piv.RegNo'
execute(#your_query)
I have a data column with values like this:
Table1
ID|GROUPNAME |MEMBER
1|GRP1_ML_Unit1_Role1|GRP=User1,DC=com;GRP=User2,DC=com
2|GRP2_ML_Unit2_Role2|GRP=User3,DC=com;GRP=User4,DC=com;GRP=User5,DC=com
3|GRP3_ML_Unit3_Role3|GRP=User6,DC=com;GRP=User7,DC=com;GRP=User8,DC=com;GRP=User8,DC=com
Expected output
ID|GRP1 |GRP2|GRP3 |GRP4 |MEM1 |MEM2 |MEM3 |MEM4|MEM5|
1 |GRP1 |ML |Unit1|Role1|GRP=User1,DC=com|GRP=User2,DC=com| | |
2 |GRP2 |ML |Unit2|Role2|GRP=User3,DC=com|GRP=User4,DC=com|GRP=User5,DC=com| |
3 |GRP3 |ML |Unit3|Role3|GRP=User6,DC=com|GRP=User7,DC=com|GRP=User8,DC=com|GRP=User8,DC=com |
Thanks,
Ryl
The completed solution is below with the sample data you gave me.
First, create a temp table and fill it with data.
-- Drop the table
drop table #member;
go
-- Sample table
create table #member
(
member_id int not null,
group_name varchar(256),
member_data varchar(8000)
);
go
-- Sample data
insert into #member values
(1, 'GRP1_ML_Unit1_Role1', 'GRP=User1,DC=com;GRP=User2,DC=com'),
(2, 'GRP2_ML_Unit2_Role2', 'GRP=User3,DC=com;GRP=User4,DC=com;GRP=User5,DC=com'),
(3, 'GRP3_ML_Unit3_Role3', 'GRP=User6,DC=com;GRP=User7,DC=com;GRP=User8,DC=com;GRP=User8,DC=com');
go
-- Show the data
select * from #member;
go
Second, copy down one of the many string splitters out there. I ended up installing Jeff Moden's string spliter for 8K max strings.
The query is almost there. However, each column we want is a row. We need to dynamically pivot the table.
--
-- Almost there!
--
-- Data in columns, instead of rows
select m.member_id, m.group_name, s.Item as cols_data, 'MEM' + cast(s.ItemNumber as varchar(6)) as cols_name from #member as m
CROSS APPLY dbo.DelimitedSplit8k(m.member_data,';') s
go
Last but not least, figure out the number of columns. Write dynamic TSQL to pivot our dat and get our result.
--
-- Write dynamic sql to solve
--
DECLARE
#cols AS nvarchar(MAX),
#query AS nvarchar(MAX);
-- Get a dynamic number of columns
SET #cols = STUFF(
(
SELECT distinct ',' + QUOTENAME(c.cols_name)
FROM
(
select m.member_id, m.group_name, s.Item as cols_data, 'MEM' + cast(s.ItemNumber as varchar(6)) as cols_name from #member as m
CROSS APPLY dbo.DelimitedSplit8k(m.member_data,';') s
) as c
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)')
,1,1,'');
print #cols;
-- Make dynamic pivot query
set #query = 'SELECT member_id as ID1, group_name as GROUP1, ' + #cols + ' from
(
select m.member_id, m.group_name, s.Item as cols_data, ''MEM'' + cast(s.ItemNumber as varchar(6)) as cols_name from #member as m
CROSS APPLY dbo.DelimitedSplit8k(m.member_data, '';'') s
) x
pivot
(
max(cols_data)
for cols_name in (' + #cols + ')
) p ';
execute(#query)
A screen shot of the results in the desired format.
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
How to transform this:
ID Name Description
1 Test1a TestDesc1a
1 Test1b TestDesc1b
2 Test2a TestDesc2a
2 Test2b TestDesc2b
into this:
ID Column 1 2
1 Name test1a test1b
1 Description testDesc1a testDesc1b
You ask for complex pivoting table. Read about this here: http://msdn.microsoft.com/en-us/library/ms177410.aspx
You need to use a PIVOT query.
A basic discussion of PIVOT queries can be found at [MSDN][1].
This is a tricky question to solve, however the output specified is not proper/ conflicting. Below is similar solution which you can try
Sample Table creation:
CREATE TABLE [dbo].[TestTable](
[Id] [int] NULL,
[Name] [nvarchar](50) NULL,
[Description] [nvarchar](50) NULL)
Inserting sample values:
INSERT INTO TestTable VALUES (1,'Test1a','TestDesc1a')
INSERT INTO TestTable VALUES (2,'Test1b','TestDesc1b')
INSERT INTO TestTable VALUES (3,'Test2a','TestDesc2a')
INSERT INTO TestTable VALUES (4,'Test2b','TestDesc2b')
Query to get the desired output using Pivot:
SELECT 'Name' AS [Column], [1], [2],[3],[4]
FROM
(SELECT Name, id from TestTable) AS ST
PIVOT
(Max(Name) FOR ID IN ([1], [2],[3],[4])) AS PT
UNION
SELECT 'Description' AS [Column], [1], [2],[3],[4]
FROM
(SELECT id,[Description] from TestTable) AS ST
PIVOT
(Max([Description]) FOR ID IN ([1], [2],[3],[4])) AS PT
ORDER BY [Column] DESC
OutPut:
Column 1 2 3 4
Name Test1a Test1b Test2a Test2b
Description TestDesc1a TestDesc1b TestDesc2a TestDesc2b
Hope this helps to solve your question.
You can use a static PIVOT if you only are going to have a few columns but I am guessing that you will have more than 2 IDs so you will probably want to use a Dynamic PIVOT for this query. Using a dynamic pivot will allow you to have more than the two ids you provided, it will grab all of the Ids from the table and then PIVOT:
create table temp
(
id int,
name varchar(10),
description varchar(20)
)
insert into temp values (1, 'Test1a', 'TestDesc1a')
insert into temp values (1, 'Test1b', 'TestDesc1b')
insert into temp values (2, 'Test2a', 'TestDesc2a')
insert into temp values (2, 'Test2b', 'TestDesc2b')
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((SELECT distinct ',' + QUOTENAME(c.id)
FROM temp c
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT ''Name'' as [Column], ' + #cols + ' from
(
select id
, name
from temp
) x
pivot
(
max(name)
for id in (' + #cols + ')
) p
UNION
SELECT ''Description'' as [Column], ' + #cols + ' from
(
select id
, description
from temp
) x
pivot
(
max(description)
for id in (' + #cols + ')
) p '
execute(#query)
drop table temp
Results:
Column 1 2
Description TestDesc1b TestDesc2b
Name Test1b Test2b