I have a large data set that looks like the below:
NAME Value
Dan 1
Dan 92
Dan A4
Steve 1
Steve B10
John 4
I'm trying to convert it into a table like:
Name Value1 Value2 Value3
Dan 1 92 B10
Steve 1 B10 Null
John 4 Null Null
So there is an unknown amount of rows and I'd like to create a new column for every value when it exists. Anyone have an idea of how to do this in SQL?
The example you provided would work perfectly using PIVOT, but you need to supply a category to the values to do the pivot.
e.g.
NAME Category Value
Dan Value1 1
Dan Value2 92
Dan Value3 A4
Steve Value1 1
Steve Value3 B10
John Value1 4
Then your results would be like this
Name Value1 Value2 Value3
Dan 1 92 A4
Steve 1 NULL B10
John 4 NULL NULL
Here's Microsoft's documentation:
https://learn.microsoft.com/en-us/sql/t-sql/queries/from-using-pivot-and-unpivot?view=sql-server-ver15
To do this dynamically, please read this post. It handles the same situation well.
SQL Server dynamic PIVOT query?
To pivot data you need something to pivot it by.
In this case it can be generated using ROW_NUMBER.
For example:
--
-- sample data
--
create table yourlargetable (
id int identity(1,1) primary key,
name nvarchar(30),
value nvarchar(30)
);
insert into yourlargetable (name, value) values
('jane', 'val1'), ('jane', 'val2'), ('jane', 'val3'),
('john', 'val4'), ('john', 'val5');
--
-- declare a few variables
--
declare #DynSql nvarchar(max);
declare #Cols nvarchar(max);
declare #ColTotal int;
--
-- how many columns are needed
--
select top 1 #ColTotal = count(*)
from yourlargetable
group by name
order by count(*) desc;
--
-- generate a string with column names
--
with RCTE_NUMS as
(
select 1 as n
union all
select n+1
from RCTE_NUMS
where n < #ColTotal
)
select #Cols = concat(#Cols+', ', quotename(concat('Value', n)))
from RCTE_NUMS
order by n;
--
-- create the dynamic sql string
--
set #DynSql = 'select *'+ char(10) +
'from ('+
'select name, value '+ char(10) +
', concat(''Value'', row_number() over (partition by name order by value)) col '+ char(10) +
'from yourlargetable) s'+ char(10) +
'pivot (max(value) '+ char(10) +
'for col in ('+ #Cols +')) p'+ char(10) +
'order by name';
-- select #DynSql;
--
-- run the dynamic sql
--
exec sp_executesql #DynSql;
Returns:
name Value1 Value2 Value3
jane val1 val2 val3
john val4 val5 NULL
Related
I have a table pulling data, like:
ID FID Value
001 20 200
001 20 400
001 50 600
002 50 100
How do write a query to get a column for each row ID that would sum the Value's?
For example, I want to return the following:
ID 20 50
001 600 600
002 NULL 100
A pattern like this:
SELECT
ID,
SUM(CASE WHEN FID = 20 THEN Value END) as sum20,
SUM(CASE WHEN FID = 50 THEN Value END) as sum50 --extend by adding more CASE WHEN rows
FROM
table
GROUP BY ID
..has the advantage of working in databases that don't support PIVOT syntax.
If you'd like PIVOT syntax:
SELECT ID, [20], [50] --extend by providing more values in square brackets
FROM
table
PIVOT
(
SUM(Value)
FOR FID IN ([20], [50]) --extend by providing more values in square brackets
) pvt
If you have dynamic list of FID's you can use dynamic query as below:
Declare #cols1 varchar(max)
Declare #query nvarchar(max)
Select #cols1 = stuff((select Distinct ','+QuoteName(Fid) from #data for xml path('')),1,1,'')
Set #query = ' Select * from (
Select Id, [Fid], [Value] from #data ) a
pivot (sum([Value]) for [Fid] in (' + #cols1 + ') ) p '
Exec sp_executesql #query
Apart from writing the cursor reading each rows and populating it into columns, any other alternative if I need to transpose each rows into columns ?
TimeSeconds TagID Value
1378700244 A1 3.75
1378700245 A1 30
1378700304 A1 1.2
1378700305 A2 56
1378700344 A2 11
1378700345 A3 0.53
1378700364 A1 4
1378700365 A1 14.5
1378700384 A1 144
1378700384 A4 10
The number of columns are not fixed.
Output : I just assigned n/a as a placeholder for no data in that intersection.
TimeSec A1 A2 A3 A4
1378700244 3.75 n/a n/a n/a
1378700245 30 n/a n/a n/a
1378700304 1.2 n/a n/a n/a
1378700305 n/a 56 n/a n/a
1378700344 n/a 11 n/a n/a
1378700345 n/a n/a 0.53 n/a
1378700364 n/a n/a n/a 4
1378700365 14.5 n/a n/a n/a
1378700384 144 n/a n/a 10
Hope you can share with me some tips. Thanks.
One way to do it if tagID values are known upfront is to use conditional aggregation
SELECT TimeSeconds,
COALESCE(MAX(CASE WHEN TagID = 'A1' THEN Value END), 'n/a') A1,
COALESCE(MAX(CASE WHEN TagID = 'A2' THEN Value END), 'n/a') A2,
COALESCE(MAX(CASE WHEN TagID = 'A3' THEN Value END), 'n/a') A3,
COALESCE(MAX(CASE WHEN TagID = 'A4' THEN Value END), 'n/a') A4
FROM table1
GROUP BY TimeSeconds
or if you're OK with NULL values instead of 'n/a'
SELECT TimeSeconds,
MAX(CASE WHEN TagID = 'A1' THEN Value END) A1,
MAX(CASE WHEN TagID = 'A2' THEN Value END) A2,
MAX(CASE WHEN TagID = 'A3' THEN Value END) A3,
MAX(CASE WHEN TagID = 'A4' THEN Value END) A4
FROM table1
GROUP BY TimeSeconds
or with PIVOT
SELECT TimeSeconds, A1, A2, A3, A4
FROM
(
SELECT TimeSeconds, TagID, Value
FROM table1
) s
PIVOT
(
MAX(Value) FOR TagID IN (A1, A2, A3, A4)
) p
Output (with NULLs):
TimeSeconds A1 A2 A3 A4
----------- ------- ------ ----- -----
1378700244 3.75 NULL NULL NULL
1378700245 30.00 NULL NULL NULL
1378700304 1.20 NULL NULL NULL
1378700305 NULL 56.00 NULL NULL
1378700344 NULL 11.00 NULL NULL
1378700345 NULL NULL 0.53 NULL
1378700364 4.00 NULL NULL NULL
1378700365 14.50 NULL NULL NULL
1378700384 144.00 NULL NULL 10.00
If you have to figure TagID values out dynamically then use dynamic SQL
DECLARE #cols NVARCHAR(MAX), #sql NVARCHAR(MAX)
SET #cols = STUFF((SELECT DISTINCT ',' + QUOTENAME(TagID)
FROM Table1
ORDER BY 1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'),1,1,'')
SET #sql = 'SELECT TimeSeconds, ' + #cols + '
FROM
(
SELECT TimeSeconds, TagID, Value
FROM table1
) s
PIVOT
(
MAX(Value) FOR TagID IN (' + #cols + ')
) p'
EXECUTE(#sql)
SQL Server has a PIVOT command that might be what you are looking for.
select * from Tag
pivot (MAX(Value) for TagID in ([A1],[A2],[A3],[A4])) as TagTime;
If the columns are not constant, you'll have to combine this with some dynamic SQL.
DECLARE #columns AS VARCHAR(MAX);
DECLARE #sql AS VARCHAR(MAX);
select #columns = substring((Select DISTINCT ',' + QUOTENAME(TagID) FROM Tag FOR XML PATH ('')),2, 1000);
SELECT #sql =
'SELECT *
FROM TAG
PIVOT
(
MAX(Value)
FOR TagID IN( ' + #columns + ' )) as TagTime;';
execute(#sql);
Another option that may be suitable in this situation is using XML
The XML option to transposing rows into columns is basically an optimal version of the PIVOT in that it addresses the dynamic column limitation.
The XML version of the script addresses this limitation by using a combination of XML Path, dynamic T-SQL and some built-in functions (i.e. STUFF, QUOTENAME).
Vertical expansion
Similar to the PIVOT and the Cursor, newly added policies are able to be retrieved in the XML version of the script without altering the original script.
Horizontal expansion
Unlike the PIVOT, newly added documents can be displayed without altering the script.
Performance breakdown
In terms of IO, the statistics of the XML version of the script is almost similar to the PIVOT – the only difference is that the XML has a second scan of dtTranspose table but this time from a logical read – data cache.
You can find some more about these solutions (including some actual T-SQL exmaples) in this article:
https://www.sqlshack.com/multiple-options-to-transposing-rows-into-columns/
Based on the solution from bluefeet here is a stored procedure that uses dynamic sql to generate the transposed table. It requires that all the fields are numeric except for the transposed column (the column that will be the header in the resulting table):
/****** Object: StoredProcedure [dbo].[SQLTranspose] Script Date: 11/10/2015 7:08:02 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author: Paco Zarate
-- Create date: 2015-11-10
-- Description: SQLTranspose dynamically changes a table to show rows as headers. It needs that all the values are numeric except for the field using for transposing.
-- Parameters: #TableName - Table to transpose
-- #FieldNameTranspose - Column that will be the new headers
-- Usage: exec SQLTranspose <table>, <FieldToTranspose>
-- table and FIeldToTranspose should be written using single quotes
-- =============================================
ALTER PROCEDURE [dbo].[SQLTranspose]
-- Add the parameters for the stored procedure here
#TableName NVarchar(MAX) = '',
#FieldNameTranspose NVarchar(MAX) = ''
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#queryPivot AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX),
#columnToPivot as NVARCHAR(MAX),
#tableToPivot as NVARCHAR(MAX),
#colsResult as xml
select #tableToPivot = #TableName;
select #columnToPivot = #FieldNameTranspose
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id(#tableToPivot) and
C.name <> #columnToPivot
for xml path('')), 1, 1, '')
set #queryPivot = 'SELECT #colsResult = (SELECT '',''
+ quotename('+#columnToPivot+')
from '+#tableToPivot+' t
where '+#columnToPivot+' <> ''''
FOR XML PATH(''''), TYPE)'
exec sp_executesql #queryPivot, N'#colsResult xml out', #colsResult out
select #colsPivot = STUFF(#colsResult.value('.', 'NVARCHAR(MAX)'),1,1,'')
set #query
= 'select name, rowid, '+#colsPivot+'
from
(
select '+#columnToPivot+' , name, value, ROW_NUMBER() over (partition by '+#columnToPivot+' order by '+#columnToPivot+') as rowid
from '+#tableToPivot+'
unpivot
(
value for name in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
sum(value)
for '+#columnToPivot+' in ('+#colsPivot+')
) piv
order by rowid'
exec(#query)
END
I had a slightly different requirement, whereby I had to selectively transpose columns into rows.
The table had columns:
create table tbl (ID, PreviousX, PreviousY, CurrentX, CurrentY)
I needed columns for Previous and Current, and rows for X and Y. A Cartesian product generated on a static table worked nicely, eg:
select
ID,
max(case when metric='X' then PreviousX
case when metric='Y' then PreviousY end) as Previous,
max(case when metric='X' then CurrentX
case when metric='Y' then CurrentY end) as Current
from tbl inner join
/* Cartesian product - transpose by repeating row and
picking appropriate metric column for period */
( VALUES (1, 'X'), (2, 'Y')) AS x (sort, metric) ON 1=1
group by ID
order by ID, sort
I have a table with three columns :- name, col1, col2
I need to create another table with col1 as columns and col2 as values. Can someone give me an idea.
This is the source:
Name col1 col2
details Company Microsoft
details Employees 300
details City New York
details2 Company Apple
details2 Employees 450
details2 City Boston
I need a table for details like this
Company Employees City
Microsoft 300 NewYork
And another table for details2 like this:
Company Employees City
Apple 450 Boston
You can convert your One column values as Table Column and Second column values as Rows like this way
First Approach:- SAMPLE SQL FIDDLE
Select
MAX(case when col1 = 'Company' then col2 end) Company,
MAX(case when col1 = 'Employee' then col2 end) Employee,
MAX(case when col1 = 'City' then col2 end) City
From test
Group By name
EDIT
Second Approach :- SQL FIDDLE
DECLARE #QUERY NVARCHAR(MAX), #Soucecolumn VARCHAR(MAX)
SET #Soucecolumn = STUFF((SELECT distinct ',[' + [col1 ] + ']' FROM test FOR XML PATH('')),1,1,'')
SET #QUERY = 'SELECT ' + #Soucecolumn + ' FROM test PIVOT (MAX(col2) FOR [col1 ] IN (' + #Soucecolumn + ')) AS pvt'
exec sp_executesql #QUERY
Apart from writing the cursor reading each rows and populating it into columns, any other alternative if I need to transpose each rows into columns ?
TimeSeconds TagID Value
1378700244 A1 3.75
1378700245 A1 30
1378700304 A1 1.2
1378700305 A2 56
1378700344 A2 11
1378700345 A3 0.53
1378700364 A1 4
1378700365 A1 14.5
1378700384 A1 144
1378700384 A4 10
The number of columns are not fixed.
Output : I just assigned n/a as a placeholder for no data in that intersection.
TimeSec A1 A2 A3 A4
1378700244 3.75 n/a n/a n/a
1378700245 30 n/a n/a n/a
1378700304 1.2 n/a n/a n/a
1378700305 n/a 56 n/a n/a
1378700344 n/a 11 n/a n/a
1378700345 n/a n/a 0.53 n/a
1378700364 n/a n/a n/a 4
1378700365 14.5 n/a n/a n/a
1378700384 144 n/a n/a 10
Hope you can share with me some tips. Thanks.
One way to do it if tagID values are known upfront is to use conditional aggregation
SELECT TimeSeconds,
COALESCE(MAX(CASE WHEN TagID = 'A1' THEN Value END), 'n/a') A1,
COALESCE(MAX(CASE WHEN TagID = 'A2' THEN Value END), 'n/a') A2,
COALESCE(MAX(CASE WHEN TagID = 'A3' THEN Value END), 'n/a') A3,
COALESCE(MAX(CASE WHEN TagID = 'A4' THEN Value END), 'n/a') A4
FROM table1
GROUP BY TimeSeconds
or if you're OK with NULL values instead of 'n/a'
SELECT TimeSeconds,
MAX(CASE WHEN TagID = 'A1' THEN Value END) A1,
MAX(CASE WHEN TagID = 'A2' THEN Value END) A2,
MAX(CASE WHEN TagID = 'A3' THEN Value END) A3,
MAX(CASE WHEN TagID = 'A4' THEN Value END) A4
FROM table1
GROUP BY TimeSeconds
or with PIVOT
SELECT TimeSeconds, A1, A2, A3, A4
FROM
(
SELECT TimeSeconds, TagID, Value
FROM table1
) s
PIVOT
(
MAX(Value) FOR TagID IN (A1, A2, A3, A4)
) p
Output (with NULLs):
TimeSeconds A1 A2 A3 A4
----------- ------- ------ ----- -----
1378700244 3.75 NULL NULL NULL
1378700245 30.00 NULL NULL NULL
1378700304 1.20 NULL NULL NULL
1378700305 NULL 56.00 NULL NULL
1378700344 NULL 11.00 NULL NULL
1378700345 NULL NULL 0.53 NULL
1378700364 4.00 NULL NULL NULL
1378700365 14.50 NULL NULL NULL
1378700384 144.00 NULL NULL 10.00
If you have to figure TagID values out dynamically then use dynamic SQL
DECLARE #cols NVARCHAR(MAX), #sql NVARCHAR(MAX)
SET #cols = STUFF((SELECT DISTINCT ',' + QUOTENAME(TagID)
FROM Table1
ORDER BY 1
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)'),1,1,'')
SET #sql = 'SELECT TimeSeconds, ' + #cols + '
FROM
(
SELECT TimeSeconds, TagID, Value
FROM table1
) s
PIVOT
(
MAX(Value) FOR TagID IN (' + #cols + ')
) p'
EXECUTE(#sql)
SQL Server has a PIVOT command that might be what you are looking for.
select * from Tag
pivot (MAX(Value) for TagID in ([A1],[A2],[A3],[A4])) as TagTime;
If the columns are not constant, you'll have to combine this with some dynamic SQL.
DECLARE #columns AS VARCHAR(MAX);
DECLARE #sql AS VARCHAR(MAX);
select #columns = substring((Select DISTINCT ',' + QUOTENAME(TagID) FROM Tag FOR XML PATH ('')),2, 1000);
SELECT #sql =
'SELECT *
FROM TAG
PIVOT
(
MAX(Value)
FOR TagID IN( ' + #columns + ' )) as TagTime;';
execute(#sql);
Another option that may be suitable in this situation is using XML
The XML option to transposing rows into columns is basically an optimal version of the PIVOT in that it addresses the dynamic column limitation.
The XML version of the script addresses this limitation by using a combination of XML Path, dynamic T-SQL and some built-in functions (i.e. STUFF, QUOTENAME).
Vertical expansion
Similar to the PIVOT and the Cursor, newly added policies are able to be retrieved in the XML version of the script without altering the original script.
Horizontal expansion
Unlike the PIVOT, newly added documents can be displayed without altering the script.
Performance breakdown
In terms of IO, the statistics of the XML version of the script is almost similar to the PIVOT – the only difference is that the XML has a second scan of dtTranspose table but this time from a logical read – data cache.
You can find some more about these solutions (including some actual T-SQL exmaples) in this article:
https://www.sqlshack.com/multiple-options-to-transposing-rows-into-columns/
Based on the solution from bluefeet here is a stored procedure that uses dynamic sql to generate the transposed table. It requires that all the fields are numeric except for the transposed column (the column that will be the header in the resulting table):
/****** Object: StoredProcedure [dbo].[SQLTranspose] Script Date: 11/10/2015 7:08:02 PM ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author: Paco Zarate
-- Create date: 2015-11-10
-- Description: SQLTranspose dynamically changes a table to show rows as headers. It needs that all the values are numeric except for the field using for transposing.
-- Parameters: #TableName - Table to transpose
-- #FieldNameTranspose - Column that will be the new headers
-- Usage: exec SQLTranspose <table>, <FieldToTranspose>
-- table and FIeldToTranspose should be written using single quotes
-- =============================================
ALTER PROCEDURE [dbo].[SQLTranspose]
-- Add the parameters for the stored procedure here
#TableName NVarchar(MAX) = '',
#FieldNameTranspose NVarchar(MAX) = ''
AS
BEGIN
-- SET NOCOUNT ON added to prevent extra result sets from
-- interfering with SELECT statements.
SET NOCOUNT ON;
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#queryPivot AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX),
#columnToPivot as NVARCHAR(MAX),
#tableToPivot as NVARCHAR(MAX),
#colsResult as xml
select #tableToPivot = #TableName;
select #columnToPivot = #FieldNameTranspose
select #colsUnpivot = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id(#tableToPivot) and
C.name <> #columnToPivot
for xml path('')), 1, 1, '')
set #queryPivot = 'SELECT #colsResult = (SELECT '',''
+ quotename('+#columnToPivot+')
from '+#tableToPivot+' t
where '+#columnToPivot+' <> ''''
FOR XML PATH(''''), TYPE)'
exec sp_executesql #queryPivot, N'#colsResult xml out', #colsResult out
select #colsPivot = STUFF(#colsResult.value('.', 'NVARCHAR(MAX)'),1,1,'')
set #query
= 'select name, rowid, '+#colsPivot+'
from
(
select '+#columnToPivot+' , name, value, ROW_NUMBER() over (partition by '+#columnToPivot+' order by '+#columnToPivot+') as rowid
from '+#tableToPivot+'
unpivot
(
value for name in ('+#colsUnpivot+')
) unpiv
) src
pivot
(
sum(value)
for '+#columnToPivot+' in ('+#colsPivot+')
) piv
order by rowid'
exec(#query)
END
I had a slightly different requirement, whereby I had to selectively transpose columns into rows.
The table had columns:
create table tbl (ID, PreviousX, PreviousY, CurrentX, CurrentY)
I needed columns for Previous and Current, and rows for X and Y. A Cartesian product generated on a static table worked nicely, eg:
select
ID,
max(case when metric='X' then PreviousX
case when metric='Y' then PreviousY end) as Previous,
max(case when metric='X' then CurrentX
case when metric='Y' then CurrentY end) as Current
from tbl inner join
/* Cartesian product - transpose by repeating row and
picking appropriate metric column for period */
( VALUES (1, 'X'), (2, 'Y')) AS x (sort, metric) ON 1=1
group by ID
order by ID, sort
I have a set of data that looks like this:
Before
FirstName LastName Field1 Field2 Field3 ... Field27
--------- -------- ------ ------ ------ -------
Mark Smith A B C D
John Baptist X T Y G
Tom Dumm R B B U
However, I'd like the data to look like this:
After
FirstName LastName Field Value
--------- -------- ----- -----
Mark Smith 1 A
Mark Smith 2 B
Mark Smith 3 C
Mark Smith 4 D
John Baptist 1 X
John Baptist 2 T
John Baptist 3 Y
John Baptist 4 G
Tom Dumm 1 R
Tom Dumm 2 B
Tom Dumm 3 B
Tom Dumm 4 U
I have looked at the PIVOT function. It may work. I am not too sure. I couldn't make sense of how to use it. But, I am not sure that the pivot could place a '4' in the 'Field' column. From my understanding, the PIVOT function would simply transpose the values of Field1...Field27 into the 'Value' column.
I have also considered iterating over the table with a Cursor and then looping over the field columns, and then INSERTing into another table the 'Field's and 'Value's. However, I know this will impact performance since it's a serial-based operation.
Any help would be greatly appreciated! As you can tell, I'm quite new to T-SQL (or SQL in general) and SQL Server.
You can perform with an UNPIVOT. There are two ways to do this:
1) In a Static Unpivot you would hard-code your Field columns in your query.
select firstname
, lastname
, replace(field, 'field', '') as field
, value
from test
unpivot
(
value
for field in (field1, field2, field3, field27)
) u
See a SQL Fiddle for a working demo.
2) Or you could use a Dynamic Unpivot which will get the list of items to PIVOT when you run the SQL. The Dynamic is great if you have a large amount of fields that you will be unpivoting.
create table mytest
(
firstname varchar(5),
lastname varchar(10),
field1 varchar(1),
field2 varchar(1),
field3 varchar(1),
field27 varchar(1)
)
insert into mytest values('Mark', 'Smith', 'A', 'B', 'C', 'D')
insert into mytest values('John', 'Baptist', 'X', 'T', 'Y', 'G')
insert into mytest values('Tom', 'Dumm', 'R', 'B', 'B', 'U')
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
select #cols = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('mytest') and
C.name like 'Field%'
for xml path('')), 1, 1, '')
set #query = 'SELECT firstname, lastname, replace(field, ''field'', '''') as field, value
from mytest
unpivot
(
value
for field in (' + #cols + ')
) p '
execute(#query)
drop table mytest
Both will produce the same results.
If you want to do it query than quick and dirty way will be to create Union
Select FirstName,LastName,1,Field1
from table
UNION ALL
Select FirstName,LastName,2,Field2
from table
.
.
And similar for all field cols
Rather than using pivot, use unpivot like this:
select firstname, lastname, substring(field,6,2) as field, value
from <yourtablename>
unpivot(value for field in (field1,field2,field3,field4,field5,field6,field7,field8,field9,field10,field11,field12,field13,field14,field15,field16,field17,field18,field19,field20,field21,field22,field23,field24,field25,field26,field27,field1,field2,field3,field4,field5,field6,field7,field8,field9,field10,field11,field12,field13,field14,field15,field16,field17,field18,field19,field20,field21,field22,field23,field24,field25,field26,field27)) as unpvt;