Related
I have the following code fragment which gives me the current results below. I'm attempting to add an additional column for each of my pivoted values in order to include the lastview data for each of my siteuserid / tagname combo (see expected results). Since this column isn't an aggregation, I don't believe an additional pivot would help. I've tried multiple ways of adding lastview, but it always results in additional rows rather than the desired output.
create table #taghits (userid int, email varchar(20), tagname varchar(20), hits int, lastview date)
insert into #taghits select 1, 'email1#here.com', 'tag1', 3, '2020-03-24';
insert into #taghits select 2, 'email2#here.com', 'tag1', 1, '2020-03-17';
insert into #taghits select 2, 'email2#here.com', 'tag2', 1, '2020-03-18';
insert into #taghits select 3, 'email3#here.com', 'tag1', 2, '2020-03-25';
insert into #taghits select 3, 'email3#here.com', 'tag2', 5, '2020-03-28';
select * from #taghits;
DECLARE #Columns3 as NVARCHAR(MAX)
SELECT #Columns3 = ISNULL(#Columns3 + ', ','') + QUOTENAME(TagName)
FROM (
select distinct TagName
from #taghits
) AS TagNames
ORDER BY TagNames.TagName
DECLARE #scolumns as NVARCHAR(MAX)
SELECT #scolumns = ISNULL(#Scolumns + ', ','')+ 'ISNULL(' + QUOTENAME(TagName) + ', 0) AS '+ QUOTENAME(TagName)
FROM (select distinct TagName
from #taghits) AS TagNames
ORDER BY TagNames.TagName
DECLARE #SQL as NVARCHAR(MAX)
SET #SQL = '
select userid, email, ' + #scolumns + '
from
(
select userid, email, tagname, hits
from #taghits
) as TagHits
PIVOT (
SUM(hits)
FOR TagName IN (' + #Columns3 + ')
) AS PivotTable
order by userId
'
exec sp_executesql #SQL;
Current Result
| userid | email | tag1 | tag2 |
|--------|-----------------|------|------|
| 1 | email1#here.com | 3 | 0 |
| 2 | email2#here.com | 1 | 1 |
| 3 | email3#here.com | 2 | 5 |
Desired Result
| userid | email | tag1_hits | tag1_lastview | tag2_hits | tag2_lastview |
|--------|-----------------|-----------|---------------|-----------|---------------|
| 1 | email1#here.com | 3 | 2020-03-24 | 0 | null |
| 2 | email2#here.com | 1 | 2020-03-17 | 1 | 2020-03-18 |
| 3 | email3#here.com | 2 | 2020-03-25 | 5 | 2020-03-28 |
try the following:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
SET #cols = STUFF((select distinct ',
SUM(CASE WHEN tagname=''' + CAST(tagname as varchar(10)) + ''' THEN [hits] ELSE 0 END) AS [' + CAST(tagname as varchar(10)) + '_hits],
MAX(CASE WHEN tagname=''' + CAST(tagname as varchar(10)) + ''' THEN [lastview] ELSE NULL END) AS [' + CAST(tagname as varchar(10)) + '_lastview]'
/*---------------You can add other columns here similar to above--------------*/
FROM #taghits
FOR XML PATH(''),type).value('.','varchar(max)'),1,2,'')
SET #query = 'SELECT userid, email, ' + #Cols + ' FROM #taghits group by userid, email'
print (#query)
exec(#query)
Please see db<>fiddle here.
This is hard to explain but I'll try. I need to export a report that shows which stores have locations in which states.
Suppose I have the following table:
+----------+-----------+
| STORE_ID | STATE_ABV |
+----------+-----------+
| 1 | AK |
| 1 | AL |
| 1 | AR |
| 2 | MI |
| 2 | OH |
| 2 | IN |
| 3 | CA |
| 3 | NV |
+----------+-----------+
The STORE_ID column is a key to another table where I just need to pull out the STORE_NAME column.
+----------+------------+
| STORE_ID | STORE_NAME |
+----------+------------+
| 1 | Walmart |
| 2 | Target |
| 3 | Kroeger's |
+----------+------------+
What I want is to export a list of each store along with columns for all states. If the store is available in that state, I want to place an "X" for the value.
So the desired output looks like this:
+------------+----+----+----+----+----+----+----+----+
| STORE_NAME | AK | AL | AR | CA | IN | OH | MI | NV |
+------------+----+----+----+----+----+----+----+----+
| Walmart | X | X | X | | | | | |
| Target | | | | | X | X | X | |
| Kroeger's | | | | X | | | | X |
+------------+----+----+----+----+----+----+----+----+
Is this possible in SQL Server? How would I write such a query? There should be a column for every STATE_ABV that exists in the table.
As mentioned, what you are after here is to pivot your data. Personally I dislike the PIVOT functionality of SQL Server, and much more prefer using a Cross-Tab (aka conditional aggregation).
As I suspect that this is going to require a dynamic pivot, I've done that as well:
--Sample tables
CREATE TABLE dbo.StoreLocations (StoreID int,
StateAbv char(2));
CREATE TABLE dbo.Stores (StoreID int IDENTITY,
StoreName varchar(20));
GO
--Sample data
INSERT INTO dbo.Stores (StoreName)
VALUES('Walmart'),('Target'),('Kroeger''s');
INSERT INTO dbo.StoreLocations (StoreID,StateAbv)
VALUES(1,'AK'),
(1,'AL'),
(1,'AR'),
(2,'MI'),
(2,'OH'),
(2,'IN'),
(3,'CA'),
(3,'NV');
GO
--Quick sample to get the format right
SELECT S.StoreName,
IIF(COUNT(CASE WHEN SL.StateAbv = 'AK' THEN 1 END) = 0,NULL, 'X') AS AK
FROM dbo.Stores S
LEFT JOIN dbo.StoreLocations SL ON S.StoreID = SL.StoreID
GROUP BY S.StoreName;
GO
--The real solution
DECLARE #SQL nvarchar(MAX);
SET #SQL = N'SELECT S.StoreName,' + NCHAR(13) + NCHAR(10) +
STUFF((SELECT N',' + NCHAR(13) + NCHAR(10) +
N' IIF(COUNT(CASE WHEN SL.StateAbv = ' + QUOTENAME(SL.StateAbv,'''') + N' THEN 1 END) = 0, NULL,''X'') AS ' + QUOTENAME(SL.StateAbv)
FROM dbo.StoreLocations SL
GROUP BY SL.StateAbv --Could use DISTINCT too
ORDER BY SL.StateAbv
FOR XML PATH(N''),TYPE).value('.','nvarchar(MAX)'),1,3,N'') + NCHAR(13) + NCHAR(10) +
N'FROM dbo.Stores S' + NCHAR(13) + NCHAR(10) +
N' LEFT JOIN dbo.StoreLocations SL ON S.StoreID = SL.StoreID' + NCHAR(13) + NCHAR(10) +
N'GROUP BY S.StoreName;';
PRINT #SQL; --Your best friend
EXEC sp_executesql #SQL;
GO
--Clean up
DROP TABLE dbo.Stores;
DROP TABLE dbo.StoreLocations;
db<>fiddle
I foolishly assumed that the state was unique in StoreLocations. Ideally, you should have a States table as well, then you don't need to get the distinct states from the StoreLocations table.
Example with a States table: db<>fiddle
Just in case you want the dynamic pivot. Personally, I don't mind PIVOT. It is just another screwdriver in the toolbox.
The UNION ALL portion can be removed if you don't mind NULL values
Example dbFiddle
Declare #SQL varchar(max) = '
Select *
From (
Select A.Store_ID
,A.State_Abv
,B.Store_Name
,Value = ''X''
From StoreLocations A
Join Stores B on A.Store_ID=B.Store_ID
Union All
Select B.Store_ID
,A.State_Abv
,B.Store_Name
,Value = ''''
From (Select Distinct State_Abv from StoreLocations) A
Cross Join Stores B
) A
Pivot (max(Value) For [State_Abv] in (' + Stuff((Select Distinct ',' + QuoteName(State_Abv) From StoreLocations Order By 1 For XML Path('')),1,1,'') + ') ) p
Order By Store_ID
'
Exec(#SQL)
Returns
Option with NULL Values
Declare #SQL varchar(max) = '
Select *
From (
Select A.Store_ID
,A.State_Abv
,B.Store_Name
,Value = ''X''
From StoreLocations A
Join Stores B on A.Store_ID=B.Store_ID
) A
Pivot (max(Value) For [State_Abv] in (' + Stuff((Select Distinct ',' + QuoteName(State_Abv) From StoreLocations Order By 1 For XML Path('')),1,1,'') + ') ) p
Order By Store_ID
'
Returns
I have tried to research this, and I am unable to find something quite like it. I have a table that may have entries added many times over as well as deleted. I have no idea how many columns I will need, therefore I need a Dynamic Pivot. All the examples I see use a windows function, but I am pivoting email addresses.
The Table would look something like this:
Number | Email
--------------
1 | email1#email.com
1 | email2#email.com
1 | email3#email.com
2 | email4#email.com
2 | email5#email.com
3 | email6#email.com
4 | email7#email.com
4 | email8#email.com
I want the table to look like this(when all are included):
Number | Email1 | Email2 | Email3
---------------------------------------------------------------
1 | email1#email.com | email2#email.com | email3#email.com
2 | email4#email.com | email5#email.com |
3 | email6#email.com | |
4 | email7#email.com | email8#email.com |
If Number 1 wasn't included it would look like:
Number | Email1 | Email2
--------------------------------------------
2 | email4#email.com | email5#email.com
3 | email6#email.com |
4 | email7#email.com | email8#email.com
Thanks for the help!
Here is code to create a mock table:
CREATE TABLE #table
(number INT, email VARCHAR(30))
INSERT INTO #table (number, email)
VALUES (1,'email1#email.com')
,(1,'email2#email.com')
,(1,'email3#email.com')
,(2,'email4#email.com')
,(2,'email5#email.com')
,(3,'email6#email.com')
,(4,'email7#email.com')
,(4,'email8#email.com')
This is similar to what I have tried, I used count to try and just make it work, but was unable.
DECLARE #columns NVARCHAR(MAX), #sql NVARCHAR(MAX);
SET #columns = N'';
SELECT #columns += N', p.' + QUOTENAME(Number)
FROM (SELECT p.Number FROM #table AS p
GROUP BY p.Name) AS x;
SELECT #columns
SET #sql = N'
SELECT ' + STUFF(#columns, 1, 2, '') + '
FROM
(
SELECT p.number, p.email
FROM #test p
) AS j
PIVOT
(
Count(email) FOR Name IN ('
+ STUFF(REPLACE(#columns, ', p.[', ',['), 1, 1, '')
+ ')
) AS p;';
PRINT #sql;
EXEC sp_executesql #sql;
You first need to create a RNO by partition over Number.
The following query should do what you want:
CREATE TABLE #table (Number INT, Email VARCHAR(30))
INSERT INTO #table (Number, Email)
VALUES (1,'email1#email.com')
,(1,'email2#email.com')
,(1,'email3#email.com')
,(2,'email4#email.com')
,(2,'email5#email.com')
,(3,'email6#email.com')
,(4,'email7#email.com')
,(4,'email8#email.com')
SELECT *, ROW_NUMBER() OVER (PARTITION BY Number ORDER BY Number, Email) AS [RNO] INTO #temp FROM #table
DECLARE #DynamicCols NVARCHAR(MAX) = '';
DECLARE #pvt NVARCHAR(MAX) = '';
SET #pvt = STUFF(
(SELECT DISTINCT N', ' + QUOTENAME([RNO]) FROM #temp FOR XML PATH('')),1,2,N'')
SET #DynamicCols = STUFF(
(SELECT DISTINCT N', ' + QUOTENAME([RNO]) + ' AS '+ QUOTENAME('Email' + CAST([RNO] AS VARCHAR(MAX))) FROM #temp FOR XML PATH('')),1,2,N'')
EXEC (N'SELECT [Number],'+ #DynamicCols+'
FROM #temp tmp
PIVOT (MAX([Email]) FOR RNO IN('+#pvt+')) AS PIV');
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
Is it possible to write a statement that selects a column from a table and converts the results to a string?
Ideally I would want to have comma separated values.
For example, say that the SELECT statement looks something like
SELECT column
FROM table
WHERE column<10
and the result is a column with values
|column|
--------
| 1 |
| 3 |
| 5 |
| 9 |
I want as a result the string "1, 3, 5, 9"
You can do it like this:
Fiddle demo
declare #results varchar(500)
select #results = coalesce(#results + ',', '') + convert(varchar(12),col)
from t
order by col
select #results as results
| RESULTS |
-----------
| 1,3,5,9 |
There is new method in SQL Server 2017:
SELECT STRING_AGG (column, ',') AS column FROM Table;
that will produce 1,3,5,9 for you
select stuff(list,1,1,'')
from (
select ',' + cast(col1 as varchar(16)) as [text()]
from YourTable
for xml path('')
) as Sub(list)
Example at SQL Fiddle.
SELECT CAST(<COLUMN Name> AS VARCHAR(3)) + ','
FROM <TABLE Name>
FOR XML PATH('')
The current accepted answer doesn't work for multiple groupings.
Try this when you need to operate on categories of column row-values.
Suppose I have the following data:
+---------+-----------+
| column1 | column2 |
+---------+-----------+
| cat | Felon |
| cat | Purz |
| dog | Fido |
| dog | Beethoven |
| dog | Buddy |
| bird | Tweety |
+---------+-----------+
And I want this as my output:
+------+----------------------+
| type | names |
+------+----------------------+
| cat | Felon,Purz |
| dog | Fido,Beethoven,Buddy |
| bird | Tweety |
+------+----------------------+
(If you're following along:
create table #column_to_list (column1 varchar(30), column2 varchar(30))
insert into #column_to_list
values
('cat','Felon'),
('cat','Purz'),
('dog','Fido'),
('dog','Beethoven'),
('dog','Buddy'),
('bird','Tweety')
)
Now – I don’t want to go into all the syntax, but as you can see, this does the initial trick for us:
select ',' + cast(column2 as varchar(255)) as [text()]
from #column_to_list sub
where column1 = 'dog'
for xml path('')
--Using "as [text()]" here is specific to the “for XML” line after our where clause and we can’t give a name to our selection, hence the weird column_name
output:
+------------------------------------------+
| XML_F52E2B61-18A1-11d1-B105-00805F49916B |
+------------------------------------------+
| ,Fido,Beethoven,Buddy |
+------------------------------------------+
You can see it’s limited in that it was for just one grouping (where column1 = ‘dog’) and it left a comma in the front, and additionally it’s named weird.
So, first let's handle the leading comma using the 'stuff' function and name our column stuff_list:
select stuff([list],1,1,'') as stuff_list
from (select ',' + cast(column2 as varchar(255)) as [text()]
from #column_to_list sub
where column1 = 'dog'
for xml path('')
) sub_query([list])
--"sub_query([list])" just names our column as '[list]' so we can refer to it in the stuff function.
Output:
+----------------------+
| stuff_list |
+----------------------+
| Fido,Beethoven,Buddy |
+----------------------+
Finally let’s just mush this into a select statement, noting the reference to the top_query alias defining which column1 we want (on the 5th line here):
select top_query.column1,
(select stuff([list],1,1,'') as stuff_list
from (select ',' + cast(column2 as varchar(255)) as [text()]
from #column_to_list sub
where sub.column1 = top_query.column1
for xml path('')
) sub_query([list])
) as pet_list
from #column_to_list top_query
group by column1
order by column1
output:
+---------+----------------------+
| column1 | pet_list |
+---------+----------------------+
| bird | Tweety |
| cat | Felon,Purz |
| dog | Fido,Beethoven,Buddy |
+---------+----------------------+
And we’re done.
You can read more here:
FOR XML PATH in SQL server and [text()]
https://learn.microsoft.com/en-us/sql/relational-databases/xml/use-path-mode-with-for-xml?view=sql-server-2017
https://www.codeproject.com/Articles/691102/String-Aggregation-in-the-World-of-SQL-Server
This a stab at creating a reusable column to comma separated string. In this case, I only one strings that have values and I do not want empty strings or nulls.
First I create a user defined type that is a one column table.
-- ================================
-- Create User-defined Table Type
-- ================================
USE [RSINET.MVC]
GO
-- Create the data type
CREATE TYPE [dbo].[SingleVarcharColumn] AS TABLE
(
data NVARCHAR(max)
)
GO
The real purpose of the type is to simplify creating a scalar function to put the column into comma separated values.
-- ================================================
-- Template generated from Template Explorer using:
-- Create Scalar Function (New Menu).SQL
--
-- Use the Specify Values for Template Parameters
-- command (Ctrl-Shift-M) to fill in the parameter
-- values below.
--
-- This block of comments will not be included in
-- the definition of the function.
-- ================================================
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
-- =============================================
-- Author: Rob Peterson
-- Create date: 8-26-2015
-- Description: This will take a single varchar column and convert it to
-- comma separated values.
-- =============================================
CREATE FUNCTION fnGetCommaSeparatedString
(
-- Add the parameters for the function here
#column AS [dbo].[SingleVarcharColumn] READONLY
)
RETURNS VARCHAR(max)
AS
BEGIN
-- Declare the return variable here
DECLARE #result VARCHAR(MAX)
DECLARE #current VARCHAR(MAX)
DECLARE #counter INT
DECLARE #c CURSOR
SET #result = ''
SET #counter = 0
-- Add the T-SQL statements to compute the return value here
SET #c = CURSOR FAST_FORWARD
FOR SELECT COALESCE(data,'') FROM #column
OPEN #c
FETCH NEXT FROM #c
INTO #current
WHILE ##FETCH_STATUS = 0
BEGIN
IF #result <> '' AND #current <> '' SET #result = #result + ',' + #current
IF #result = '' AND #current <> '' SET #result = #current
FETCH NEXT FROM #c
INTO #current
END
CLOSE #c
DEALLOCATE #c
-- Return the result of the function
RETURN #result
END
GO
Now, to use this. I select the column I want to convert to a comma separated string into the SingleVarcharColumn Type.
DECLARE #s as SingleVarcharColumn
INSERT INTO #s VALUES ('rob')
INSERT INTO #s VALUES ('paul')
INSERT INTO #s VALUES ('james')
INSERT INTO #s VALUES (null)
INSERT INTO #s
SELECT iClientID FROM [dbo].tClient
SELECT [dbo].fnGetCommaSeparatedString(#s)
To get results like this.
rob,paul,james,1,9,10,11,12,13,14,15,16,18,19,23,26,27,28,29,30,31,32,34,35,36,37,38,39,40,41,42,44,45,46,47,48,49,50,52,53,54,56,57,59,60,61,62,63,64,65,66,67,68,69,70,71,72,74,75,76,77,78,81,82,83,84,87,88,90,91,92,93,94,98,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,120,121,122,123,124,125,126,127,128,129,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159
I made my data column in my SingleVarcharColumn type an NVARCHAR(MAX) which may hurt performance, but I flexibility was what I was looking for and it runs fast enough for my purposes. It would probably be faster if it were a varchar and if it had a fixed and smaller width, but I have not tested it.
ALTER PROCEDURE [dbo].[spConvertir_CampoACadena]( #nomb_tabla varchar(30),
#campo_tabla varchar(30),
#delimitador varchar(5),
#respuesta varchar(max) OUTPUT
)
AS
DECLARE #query varchar(1000),
#cadena varchar(500)
BEGIN
SET #query = 'SELECT #cadena = COALESCE(#cadena + '''+ #delimitador +''', '+ '''''' +') + '+ #campo_tabla + ' FROM '+#nomb_tabla
--select #query
EXEC(#query)
SET #respuesta = #cadena
END
You can use the following method:
select
STUFF(
(
select ', ' + CONVERT(varchar(10), ID) FROM #temp
where ID<50
group by ID for xml path('')
), 1, 2, '') as IDs
Implementation:
Declare #temp Table(
ID int
)
insert into #temp
(ID)
values
(1)
insert into #temp
(ID)
values
(3)
insert into #temp
(ID)
values
(5)
insert into #temp
(ID)
values
(9)
select
STUFF(
(
select ', ' + CONVERT(varchar(10), ID) FROM #temp
where ID<50
group by ID for xml path('')
), 1, 2, '') as IDs
Result will be:
--------------------------- easy I Found Like it ----------------
SELECT STUFF((
select ','+ name
from tblUsers
FOR XML PATH('')
)
,1,1,'') AS names
name
---------
mari, joan, carls
---------
Use LISTAGG function,
ex. SELECT LISTAGG(colmn) FROM table_name;
Use simplest way of doing this-
SELECT GROUP_CONCAT(Column) from table
+------+----------------------+
| type | names |
+------+----------------------+
| cat | Felon |
| cat | Purz |
| dog | Fido |
| dog | Beethoven |
| dog | Buddy |
| bird | Tweety |
+------+----------------------+
select group_concat(name) from Pets
group by type
Here you can easily get the answer in single SQL and by using group by in your SQL you can separate the result based on that column value. Also you can use your own custom separator for splitting values
Result:
+------+----------------------+
| type | names |
+------+----------------------+
| cat | Felon,Purz |
| dog | Fido,Beethoven,Buddy |
| bird | Tweety |
+------+----------------------+