This question already has answers here:
Simple way to transpose columns and rows in SQL?
(9 answers)
Closed 6 years ago.
I have a table
ID | Customer | Type | Value |
---+----------+---------+-------+
1 | John | Income | 50 |
2 | John | Income | 20 |
3 | Mike | Outcome | 150 |
4 | Robert | Income | 100 |
5 | John | Outcome | 300 |
Want a table like that;
| John | Mike | Robert |
--------+------+------+--------+
Income | 70 | 0 | 100 |
Outcome| 300 | 150 | 0 |
What should be the SQL Query? Thanks
The problem is Customers and Type are not static they are dynamic.
What I tried:
SELECT 'TotalIncome' AS TotalSalaryByDept,
[John], [Mike]
FROM
(SELECT Customer, Income
FROM table001) AS a
PIVOT
(
SUM(Income)
FOR ID IN ([John], [Mike])
) AS b;
Here is a quick dynamic pivot. We use a CROSS APPLY to unpivot the desired measures.
Declare #SQL varchar(max)
Select #SQL = Stuff((Select Distinct ',' + QuoteName(Customer) From YourTable Order by 1 For XML Path('')),1,1,'')
Select #SQL = '
Select [Type],' + #SQL + '
From (
Select Item=A.Customer,B.*
From YourTable A
Cross Apply (
Select Type=''Income'' ,Value=A.Income Union All
Select Type=''Outcome'',Value=A.Outcome
) B
) A
Pivot (sum(value) For Item in (' + #SQL + ') ) p'
Exec(#SQL);
Returns
EDIT - For the Revised Question
Declare #SQL varchar(max) = Stuff((Select Distinct ',' + QuoteName(Customer) From YourTable Order by 1 For XML Path('')),1,1,'')
Select #SQL = '
Select [Type],' + #SQL + '
From (Select Customer,Type,Value from YourTable ) A
Pivot (Sum(Value) For [Customer] in (' + #SQL + ') ) p'
Exec(#SQL);
Returns
The Table as you have it is how it should be in your SQL database. Columns are reserved for classifying your data, and rows are where you add new instances.
What you need to do is set up your ASP, Excel Pivot Table, or whatever you are using to display the data to format it into a horizontal table. I would need to know what you are using to interface with your database to give you an example.
Related
So, I have been having this problem and I guess I am just too overloaded to figure it out. I have a database that I need to count from. That's all good. But where I run into a problem is i need to store it as only 2 rows, one for all the dates and one for the count. Here is an example:
obj_name | date_made
--------------------
1 | 2016-3-04
2 | 2016-5-23
3 | 2016-5-23
4 | 2016-5-23
5 | 2016-6-07
6 | 2016-6-07
7 | 2016-6-07
8 | 2016-6-07
9 | 2016-9-12
10 | 2016-9-12
What I want is to count how many objects are created on a certain date, then return it as 2 rows - one with all the dates then one with all the counts
Row1 | 2016-3-04 | 2016-5-23 | 2016-6-07 | 2016-9-12
Row2 | 1 | 3 | 4 | 2
If anyone can help that would be much appreciated.
here is what I have so far, I can get all the info I need but as 2 columns and I need it as 2 rows
SELECT datem,
SUM(num) AS total_num
FROM (
SELECT date_made AS datem,
obj_name,
COUNT(1) AS num
FROM db.tn
GROUP BY 1,2
) sub
GROUP BY 1
ORDER BY 1 DESC
You can try a dynamic pivot query like below
DECLARE #cols AS NVARCHAR(MAX),#query AS NVARCHAR(MAX)
SELECT #cols = STUFF((SELECT ',' + QUOTENAME(date_made)
FROM tbl
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
SELECT #query =
'SELECT * FROM '+
'(SELECT COUNT(1) count, date_made FROM tbl ) src '+
' pivot '+
'( max(count) for date_made in ('+#cols+'))p'
EXEC(#query)
If I read this correctly, you are going to end up with an aggregate table that looks like this:
date_made | count
----------|------
2016-3-04 | 1
2016-5-23 | 3
2016-6-07 | 4
2016-9-12 | 2
And then you want to pivot the table on its side to look like the output in your initial question. Therefore, I think this is a repeat of this question:
Simple way to transpose columns and rows in Sql?
I have a dynamic SQL query that gets me result sets after execution. However, the UI model that I am rendering results back from SQL server engine doesn't provide a way to render query column names.
Due to the dynamic nature of the query, I can't hard code the column names at design time. So my question is how do I get column names along with the data set returned by the query?
This Query:
DECLARE #SQLSTATMENT nvarchar(1000)
SELECT #SQLSTATEMENT = '
SELECT
convert(date, DATEADDED) DATEADDED
,COUNT(1) as NUMBEROFRECORDS
FROM
dbo.CONSTITUENT
GROUP BY
convert(date, DATEADDED)
ORDER BY
convert(date, DATEADDED) DESC
'
Exec (#SQLSTATEMENT);
Gives me this table (Original Image):
+ ---------- + --------------- +
| DATEADDED | NUMBEROFRECORDS |
+ ---------- + --------------- +
| 2017-03-14 | 1 |
| 2017-03-10 | 1 |
| 2016-07-07 | 5 |
| 2016-06-29 | 3 |
| 2016-06-15 | 1 |
| 2014-11-11 | 465 |
| 2005-06-09 | 11 |
| 2005-04-13 | 1 |
| 2005-02-28 | 2 |
+ ---------- + --------------- +
But I want this (Original Image):
+ ---------- + --------------- +
| DATEADDED | NUMBEROFRECORDS |
+ ---------- + --------------- +
| DATEADDED | NUMBEROFRECORDS |
| 2017-03-14 | 1 |
| 2017-03-10 | 1 |
| 2016-07-07 | 5 |
| 2016-06-29 | 3 |
| 2016-06-15 | 1 |
| 2014-11-11 | 465 |
| 2005-06-09 | 11 |
| 2005-04-13 | 1 |
| 2005-02-28 | 2 |
+ ---------- + --------------- +
Thanks
It's doable, but not very pretty. A Stored Procedure where you pass the dynamic SQL would be much cleaner
We're essentially doing Dynamic SQL within Dynamic SQL
One caveat: I reserved the field RN
Example (Using my FRED Series Data)
-- This is Your Base/Initial Query, or the only portion you need to supply
Declare #SQL varchar(max) = 'Select Updated as Updated,Count(*) as NumberOfRecords From [dbo].[FRED-Series] Group By Updated'
Select #SQL = '
;with cte0 as ('+#SQL+')
, cte1 as (Select *,RN = Row_Number() over (Order By (Select null)) From cte0 )
, cte2 as (
Select A.RN,C.*
From cte1 A
Cross Apply (Select XMLData=cast((Select A.* for XML Raw) as xml)) B
Cross Apply (
Select Item = attr.value(''local-name(.)'',''varchar(100)'')
,Value = attr.value(''.'',''varchar(max)'')
,ColNr = Row_Number() over (Order By (Select Null))
From B.XMLData.nodes(''/row'') as A(r)
Cross Apply A.r.nodes(''./#*'') AS B(attr)
Where attr.value(''local-name(.)'',''varchar(100)'') not in (''RN'')
) C
)
Select Distinct RN=0,Item,Value=Item,ColNr Into #Temp From cte2 Union All Select * from cte2
Declare #SQL varchar(max) = Stuff((Select '','' + QuoteName(Item) From #Temp Where RN=0 Order by ColNr For XML Path('''')),1,1,'''')
Select #SQL = ''Select '' + #SQL + '' From (Select RN,Item,Value From #Temp ) A Pivot (max(Value) For [Item] in ('' + #SQL + '') ) p''
Exec(#SQL);
'
Exec(#SQL)
Returns
Updated NumberOfRecords
Updated NumberOfRecords
2017-03-22 597
2017-03-23 40
2017-03-20 228
2017-03-21 1404
Just some Commentary
cte0 is your primary query
cte1 will take the results of your initial query and add a Row Number
cte2 will dynamically unpivot your data
The results of cte2 are dropped into a #temp table for convenience (assuming this is allowed)
Then we perform a dynamic pivot
Union a static query with the column names. You have to cast the results of the second query to varchar or nvarchar so they are the same data type as your column names.
DECLARE #SQLSTATMENT nvarchar(1000)
SELECT #SQLSTATEMENT = '
SELECT
''DATEADDED'' AS [DATEADDED]
,''NUMBEROFRECORDS'' AS [NUMBEROFRECORDS]
SELECT
CAST(convert(date, DATEADDED) AS NVARCHAR(MAX)
,CAST(COUNT(1) AS NVARCHAR(MAX))
FROM
dbo.CONSTITUENT
GROUP BY
convert(date, DATEADDED)
ORDER BY
convert(date, DATEADDED) DESC
'
Exec (#SQLSTATEMENT);
With this said, you should be able to reference the column names via code and not have to add them to the query. This way you could keep the data types of the result set.
I have a table with 11 columns. The first column includes the category names. The remaining 10 columns have values like white, green, big, damaged etc. and these values can change in time.
I need a SQL query to find how many are there in table (in 10 columns) each value.
Table 1:
+------------+------------+
| ID | decription |
+------------+------------+
| 1 | white |
| 2 | green |
| 3 | big |
| 4 | damaged |
+------------+------------+
Table 2:
+------------+-----------+-----------+-----------+
| CATEGORY | SECTION 1 | SECTION 2 | SECTION 3 |
+------------+-----------+-----------+-----------+
| Category 1 | white | green | big |
| Category 2 | big | damaged | white |
| Category 1 | white | green | big |
| Category 3 | big | damaged | white |
+------------+-----------+-----------+-----------+
Desired result:
+------------+-------+-------+-----+---------+
| CATEGORY | White | Green | Big | Damaged |
+------------+-------+-------+-----+---------+
| Category 1 | 20 | 10 | 9 | 50 |
| Category 2 | 25 | 21 | 15 | 5 |
+------------+-------+-------+-----+---------+
Is it possible doing like this dynamically just as query ?
its on MS sql in visual studio reporting
Thanks
You've got yourself a bit of a mess with the design and the desired result. The problem is that your table is denormalized and then the final result you want is also denormalized. You can get the final result by unpivoting your Section columns, then pivoting the values of those columns. You further add to the mess by needing to do this dynamically.
First, I'd advise you to rethink your table structure because this is far too messy to maintain.
In the meantime, before you even think about writing a dynamic version to get the result you have to get the logic correct via a static or hard-coded query. Now, you didn't state which version of SQL Server you are using but you first need to unpivot the Section columns. You can use either the UNPIVOT function or CROSS APPLY. Your query will start with something similar to the following:
select
category,
value
from yourtable
unpivot
(
value for cols in (Section1,Section2,Section3)
) u
See SQL Fiddle with Demo. This gets your data into the format:
| CATEGORY | VALUE |
|------------|---------|
| Category 1 | white |
| Category 1 | green |
| Category 1 | big |
| Category 2 | big |
| Category 2 | damaged |
| Category 2 | white |
Now you have multiple Category rows - one for each value that previously were in the Section columns. Since you want a total count of each word in the Category, you can now apply the pivot function:
select
category,
white, green, big, damaged
from
(
select
category,
value
from yourtable
unpivot
(
value for cols in (Section1,Section2,Section3)
) u
) un
pivot
(
count(value)
for value in (white, green, big, damaged)
) p;
See SQL Fiddle with Demo. This will give you the result that you want but now you need this to be done dynamically. You'll have to use dynamic SQL which will create a SQL string that will be executed giving you the final result.
If the number of columns to UNPIVOT is limited, then you will create a list of the new column values in a string and then execute it similar to:
DECLARE #query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX);
select #colsPivot
= STUFF((SELECT ',' + quotename(SectionValue)
from yourtable
cross apply
(
select Section1 union all
select Section2 union all
select Section3
) d (SectionValue)
group by SectionValue
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select category, '+#colspivot+'
from
(
select
category,
value
from yourtable
unpivot
(
value
for cols in (Section1, Section2, Section3)
) un
) x
pivot
(
count(value)
for value in ('+ #colspivot +')
) p'
exec sp_executesql #query
See SQL Fiddle with Demo
If you have an unknown number of columns to unpivot, then your process will be a bit more complicated. You'll need to generate a string with the columns to unpivot, you can use the sys.columns table to get this list:
select #colsUnpivot
= stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name like 'Section%'
for xml path('')), 1, 1, '')
Then you'll need to get a list of the new column values - but since these are dynamic we will need to generate this list with a bit of work. You'll need to unpivot the table to generate the list of values into a temporary table for use. Create a temp table to store the values:
create table #Category_Section
(
Category varchar(50),
SectionValue varchar(50)
);
Load the temp table with the data that you need to unpivot:
set #unpivotquery
= 'select
category,
value
from yourtable
unpivot
(
value for cols in ('+ #colsUnpivot +')
) u'
insert into #Category_Section exec(#unpivotquery);
See SQL Fiddle with Demo. You'll see that your data looks the same as the static version above. Now you need to create a string with the values from the temp table that will be used in the final query:
select #colsPivot
= STUFF((SELECT ',' + quotename(SectionValue)
from #Category_Section
group by SectionValue
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
Once you have all this you can put it together into a final query:
DECLARE #colsUnpivot AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX),
#unpivotquery AS NVARCHAR(MAX);
select #colsUnpivot
= stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('yourtable') and
C.name like 'Section%'
for xml path('')), 1, 1, '');
create table #Category_Section
(
Category varchar(50),
SectionValue varchar(50)
);
set #unpivotquery
= 'select
category,
value
from yourtable
unpivot
(
value for cols in ('+ #colsUnpivot +')
) u';
insert into #Category_Section exec(#unpivotquery);
select #colsPivot
= STUFF((SELECT ',' + quotename(SectionValue)
from #Category_Section
group by SectionValue
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select category, '+#colspivot+'
from
(
select
category,
value
from yourtable
unpivot
(
value
for cols in ('+ #colsunpivot +')
) un
) x
pivot
(
count(value)
for value in ('+ #colspivot +')
) p'
exec sp_executesql #query
See SQL Fiddle with Demo. All versions will get you the end result:
| CATEGORY | BIG | DAMAGED | GREEN | WHITE |
|------------|-----|---------|-------|-------|
| Category 1 | 2 | 0 | 2 | 2 |
| Category 2 | 1 | 1 | 0 | 1 |
| Category 3 | 1 | 1 | 0 | 1 |
If your values are stored in a separate table, then you would generate your list of values from that table:
DECLARE #query AS NVARCHAR(MAX),
#colsPivot as NVARCHAR(MAX);
select #colsPivot
= STUFF((SELECT ',' + quotename(decription)
from descriptions
group by decription
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query
= 'select category, '+#colspivot+'
from
(
select
category,
value
from yourtable
unpivot
(
value
for cols in (Section1, Section2, Section3)
) un
) x
pivot
(
count(value)
for value in ('+ #colspivot +')
) p'
exec sp_executesql #query
See SQL Fiddle with Demo and still get the same result:
| CATEGORY | BIG | DAMAGED | GREEN | WHITE |
|------------|-----|---------|-------|-------|
| Category 1 | 2 | 0 | 2 | 2 |
| Category 2 | 1 | 1 | 0 | 1 |
| Category 3 | 1 | 1 | 0 | 1 |
select category,
SUM(CASE when section1='white' then 1 when section2='white' then 1 when section3='white' then 1 else 0 end) as white,
SUM(CASE when section1='green' then 1 when section2='green' then 1 when section3='green' then 1 else 0 end) as green,
SUM(CASE when section1='damaged' then 1 when section2='damaged' then 1 when section3='damaged' then 1 else 0 end) as damaged,
SUM(CASE when section1='big' then 1 when section2='big' then 1 when section3='big' then 1 else 0 end) as big
from test
group by category
SQLFiddle
You can extend more to n section values as shown above gor section1,section2,section3
TRANSFORM Avg(CASE WHEN [temp].[sumUnits] > 0
THEN [temp].[SumAvgRent] / [temp].[sumUnits]
ELSE 0
END) AS Expr1
SELECT [temp].[Description]
FROM [temp]
GROUP BY [temp].[Description]
PIVOT [temp].[Period];
Need to convert this query for sql server
I have read all other posts but unable to convert this into the same
Here is the equivalent version using the PIVOT table operator:
SELECT *
FROM
(
SELECT
CASE
WHEN sumUnits > 0
THEN SumAvgRent / sumUnits ELSE 0
END AS Expr1,
Description,
Period
FROM temp
) t
PIVOT
(
AVG(Expr1)
FOR Period IN(Period1, Period2, Period3)
) p;
SQL Fiddle Demo
For instance, this will give you:
| DESCRIPTION | PERIOD1 | PERIOD2 | PERIOD3 |
---------------------------------------------
| D1 | 10 | 0 | 20 |
| D2 | 100 | 1000 | 0 |
| D3 | 50 | 10 | 2 |
Note that When using the MS SQL Server PIVOT table operator, you have to enter the values for the pivoted column. However, IN MS Access, This was the work that TRANSFORM with PIVOT do, which is getting the values of the pivoted column dynamically. In this case you have to do this dynamically with the PIVOT operator, like so:
DECLARE #cols AS NVARCHAR(MAX);
DECLARE #query AS NVARCHAR(MAX);
SELECT #cols = STUFF((SELECT distinct
',' +
QUOTENAME(Period)
FROM temp
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'');
SET #query = ' SELECT Description, ' + #cols + '
FROM
(
SELECT
CASE
WHEN sumUnits > 0
THEN SumAvgRent / sumUnits ELSE 0
END AS Expr1,
Description,
Period
FROM temp
) t
PIVOT
(
AVG(Expr1)
FOR Period IN( ' + #cols + ')
) p ';
Execute(#query);
Updated SQL Fiddle Demo
This should give you the same result:
| DESCRIPTION | PERIOD1 | PERIOD2 | PERIOD3 |
---------------------------------------------
| D1 | 10 | 0 | 20 |
| D2 | 100 | 1000 | 0 |
| D3 | 50 | 10 | 2 |
I have the following structure:
TABLE: Field
ID | Name
---|--------
1 | Email
2 | City
And
TABLE: Answers
ID | Field | Value | User
-----------------------------------
1 | 1 | m1#mail.com | 3
2 | 2 | abc | 3
3 | 1 | m2#mail.com | 4
4 | 2 | qwe | 4
I want to select:
Email | City
-------------------
m1#mail.com | abc
m2#mail.com | qwe
How can I do it?
You can try this:
DECLARE #columns NVARCHAR(MAX)
SELECT #columns = COALESCE(#columns + ',[' + cast(f.[Name] as varchar) + ']',
'[' + CAST(f.[Name] as VARCHAR)+ ']')
FROM Answers AS a INNER JOIN Field AS f ON a.[Field] = f.[ID]
GROUP BY f.[Name]
DECLARE #query NVARCHAR(MAX)
SET #query = '
SELECT * FROM
(SELECT f.[Name], a.[Value], a.[User]
FROM Answers AS a INNER JOIN Field AS f ON a.[Field]
= f.[ID]) AS s
PIVOT (MAX(Value) FOR [Name] IN (' + #columns + ')) AS p'
EXECUTE(#query);
I don't see how you can do that in a single select statement.
It's a little confusing, but I think this could work:
SELECT
External.Value as Email,
City
FROM
Answers as External
JOIN
(
SELECT
Answers.Value as City,
Answers.User
FROM
Answers
WHERE
Answers.Field = 2
) AS Internal
ON
(External.User = Internal.User)
WHERE
External.Field = 1
Since the column is the same, I'm first selecting the email and then selecting the city, and finally joining them both so they appear in the same result row.
SELECT User,
MAX(CASE WHEN field=1 THEN value END) AS [Email],
MAX(CASE WHEN field=2 THEN value END) as [City]
FROM test
GROUP BY User;
You can also do the same using PIVOT, but personally I found the syntax above clearer and easier to use than PIVOT. If you have dynamic fields, you need to make this query generic also. I'd assume creating function that analyzes all distinct values in in the first table, iterates through them, and returns a proper query ( You need to append MAX(CASE WHEN field=N THEN value END) AS [Field_N_Name] for each ID in the first table
SELECT A1.Value, A2.Value FROM Answers A1 JOIN Answers A2 on A1.User = A2.User
"Self-join". But this is a non-generic solution that will break when you add Field 3.