I want to create a new view in SQL Server 2008 R2.
Given is a col called "ADRESS", based on which I want to create a col called "CompanyID".
I want to add a suffix, which counts +1 for each row in a group of adresses, ideally starting from ".002".
The output should look like this:
ADRESS
CompanyID
100000
100000.002
100000
100000.003
100000
100000.004
200000
100000.002
200000
100000.003
300000
100000.002
My idea was to declare a count variable:
DECLARE #count AS
SET #count = '002'
And then use a while loop:
WHILE ()
BEGIN
SELECT ADRESS + '.' + #count AS CompanyID
SET #count = #count +1
END
Problem is, I don't have a idea what to loop through and also, which data type allows 3 digits without removing the first two zeros. I'm new to SQL so i would appreciate a short explanation.
Here is how you can do it:
Use ROW_NUMBER() to get your ordered numbers
+1 to start from 2
Cast to varchar
Add 000 in front
Cut to last 3 characters - RIGHT()
Add Address and '.' in front
SELECT ADRESS
, CAST(ADRESS AS VARCHAR(10))
+ '.'
+ RIGHT('000' + CAST(1 + ROW_NUMBER() OVER (PARTITION BY ADRESS ORDER BY ADRESS) AS VARCHAR(3)),3) AS CompanyId
FROM Table1
db<>fiddle
Use the below query
SELECT Address, CAST(Address AS VARCHAR) + '.' + RIGHT('000' + CAST(ROW_NUMBER() OVER(PARTITION BY Address ORDER BY Address) + 1 AS VARCHAR),3) CompanyID
FROM [dbo].[TblTestNum]
Change the CAST(Address AS VARCHAR) to 100000 if you want all rows in 100000.
Related
I need to add character / number to selected duplicate values.
This is what I need:
SELECT Name -- Here I need to add for example 1 if It have duplicates
-- If It is hard way to code, how to add 1 to all selected values?
FROM Example
WHERE Id BETWEEN 25 AND 285
If there are 2 equal names Peter It should select Peter and second Peter1
If there is no easy way to make It, how to add 1 to all selected lines? Should select Peter1 instead of Peter
I've tried this:
SELECT Name + ' 1' AS Name -- in this case selecting wrong column
FROM Example
WHERE Id BETWEEN 25 AND 285
EDIT
SELECT #cols += ([Name]) + ','
FROM (SELECT Name --I neeed to integrate It here
FROM FormFields
WHERE ID BETWEEN 50 AND 82
) a
If I use this:
SELECT #cols += ([Name]) + ',' -- here throws error
FROM (SELECT Name + CASE WHEN RowNum = 1 THEN '' ELSE CONVERT(NVARCHAR(100), RowNum-1) END AS [UpdatedName]
FROM (
SELECT Name AS Name,
ROW_NUMBER() OVER (PARTITION BY Name ORDER BY Name) AS "RowNum"
FROM FormFields
WHERE Id Between 50 And 82) x
) a
It throws error: Invalid column name 'Name'.
EDIT 2
It's different tests but some of them have the same criteria. That's why I need It to rename.
You can do this via getting the Row_Number and using a Case. Here's an example for SQL Server:
;With Cte As
(
Select Name, Row_Number() Over (Partition By Name Order By Name) RN
From Example
Where Id Between 25 And 285
)
Select Case When RN = 1 Then Name Else Name + Cast((RN - 1) As Varchar (3)) End As Name
From Cte
You could use the ROW_NUMBER function built into SQL server.
select Name + case when RowNum = 1 then '' else CONVERT(varchar(100), RowNum-1) end as "UpdatedName"
from (
select name as "Name",
ROW_NUMBER() over (partition by name order by name) as "RowNum"
from Example
Where Id Between 25 And 285) x
Please note that this still doesn't guarantee you unique names. Afterall, someone could already have a name of "MyName1", so if you had 2 people with names "MyName" you'd still get 2 "MyName1" with this select statement.
This is very unusual request, it looks like you are trying to "make car run with wheels on the roof" :)
The root problem is almost sure wrong database design... Pivot is usually used for data summaries. If you have in the same column "Peter" and "Peter" with different meanings, it looks that there is something wrong. Or do you need to differentiate both Peters for any other reason?
I do not understand what are you trying to achieve. If Peter is always Peter, and you just want to avoid duplicities, you can simply use "group by Name". But this is what pivot does automatically... If Peter and Peter have two different meanings (like Peter1 and Peter2), you should think about changing database structure, if possible.
Or try to explain more deeply what are you trying to achieve.
EDIT:
OK, now I understand the desired output. And what is the structure of your source data table(s)? From your schema it is clear that you need to make PIVOT columns based on
Testname+groupId
or
Testname+convert(varchar(100),groupId)
if groupId is number. That is your Peter1,Peter2 composition. It will create columns that you need. But I dont't know where testname and groupId are located in your datatables. Do test names correspond to column NAMES or to VALUES stored in DB? Is groupId something like TestId? Again column or value? Provide more info about source data structure, if you need more help, your problem is not so complicated.
Since the columns have group IDs, concatenate the Column name with an Underscore and GroupID as a key value and when you display it, strip the underscore and trailing characters.
Like This:
SELECT #cols += ([Name]) + ','
FROM (SELECT Name + '_' + CAST(GroupId AS varchar)
FROM FormFields
WHERE ID BETWEEN 50 AND 82
) a
I assume you are using this to build a dynamic SQL statement. I'm not sure what the schema of your FormFields Table is, but if it includes something like the test name you could append an AS [Name] + ' - ' +[TestName] to have the column header be something more useful. I would say try a PIVOT, but that could get pretty ungainly if the tests don't have the majority of the fields in common...
I also assume you are storing responses to these prompts in a table that looks something like this:
CREATE TABLE [Responses]
(
RespID int IDENTITY NOT NULL,
UserID int NOT NULL,
FieldID int NOT NULL,
RespVal int/varchar/whatever NOT NULL
)
Then perhaps you have a [Test] table with some test metadata that acts as the primary key for your GroupID Foreign key in your FormFields table.
In your example you show responses across all columns, but I'm not sure how that would work since (unless I'm missing something in your explanation and the inferences I've made to your design) one set of responses would only be populated for one of the groups per row, unless you are aggregating responses, but then by what criteria? Perhaps the rows correspond to respondents and all respondents are required to answer across all form types. In that case, your output would work as a PIVOT like this:
DECLARE #sql varchar(4000) = ''
DECLARE #colList varchar(1000)
DECLARE #selList varchar(1000)
;WITH NameBase
AS
(
SELECT t.Name [TestName], f.Name [FieldName], f.GroupId
FROM [FormFields] f
INNER JOIN [Tests] t ON f.GroupID = t.ID
)
SELECT #colList = COALESCE(#colList + ',','') + QUOTENAME([FieldName] + '_' + [GroupId])
, #selList = COALESCE(#selList + ',','') + QUOTENAME([FieldName] + '_' + [GroupId]) + ' AS ' + QUOTENAME([FieldName] + ' - ' + [TestName])
FROM NameBase
SELECT #sql = 'SELECT [UserName],' + #selList + ' FROM (
SELECT u.Name [UserName], f.Name + '_' + f.GroupId [FieldName], r.RespVal [Response]
FROM Responses r
INNER JOIN [TestUsers] u ON r.UserID = u.ID
INNER JOIN [FormFields] f ON r.FieldID = f.ID) t
PIVOT (MAX([Response]) FOR [FieldName] IN (' + #colList + ')) pvt'
EXECUTE(#sql);
I haven't tested that yet, but it should at least point you in the right direction. I'll try to build a SqlFiddle to test it in a little bit.
I have a table in a database which consists of name, maths, science, history as the columns wherein the each persons marks are displayed of each subject.
I need to write a query wherein i need to display everything in one single row as:
Anthony:30,70,60 $ Raghav:25,30,45 and so on..
Can anyone tell me how can i do that?
Declare #result Varchar(max)
SELECT #result = COALESCE(#result + '$','')+[name] + ':' + cast(maths as varchar(3)) + ',' + cast(science as varchar(3)) + ',' + cast(history as varchar(3))
FROM tableName
#result variable now contains concatenated string which you can return by
SELECT #result
I am trying to do a dynamic sql query, similar to some that have appeared on this forum, but for the life of me, I cannot get it to work.
I am using SQL Server 2008. I have a table with a series of order_ref numbers. Each of these numbers has a varying number of advice_refs associated with it. advice_ref numbers are unique (they are a key from another table). There is at least one advice_ref for each order_ref. There are a bunch of columns that describe information for each advice_ref.
What I want to do is create a table with a row for each unique order_ref, with columns for each advice_ref, in ascending order. The columns would be Advice01, Advice02, ....Advice10, Advice11, etc. Not all the Advice# columns would be filled in for every order_ref and the number of advice# columns would depend on the order_ref with the greatest number of advice_refs.
The table would look like:
Order Advice01 Advice02 Advice03 Advice04.....
1 1 2 3
2 5 8 9 20
3 25
The code I've tried to use is:
DECLARE #SQL NVARCHAR(MAX)
DECLARE #PVT NVARCHAR(MAX)
SELECT #SQL = #SQL + ', COALESCE(' + QUOTENAME('Advice' + RowNum) + ', '''') AS ' + QUOTENAME('Advice' + RowNum),
#PVT = #PVT + ', ' + QUOTENAME('Advice' + RowNum)
FROM (SELECT case when RowNum2 < 10 then '0'+RowNum2 when RowNum2 >=10 then RowNum2 end [RowNum] From
( SELECT DISTINCT CONVERT(VARCHAR, ROW_NUMBER() OVER(PARTITION BY order_ref ORDER BY advice_ref)) [RowNum2]
FROM [ED_dups].[dbo].[NewEDDupsLongForm]
) rn2 ) rn
SET #SQL = 'SELECT order_ref' + #SQL + '
FROM ( SELECT order_ref,
advice_ref,
case when CONVERT(VARCHAR, ROW_NUMBER() OVER(PARTITION BY order_ref ORDER BY advice_ref)) < 10
then ''Advice0'' + CONVERT(VARCHAR, ROW_NUMBER() OVER(PARTITION BY order_ref ORDER BY advice_ref))
else ''Advice'' + CONVERT(VARCHAR, ROW_NUMBER() OVER(PARTITION BY order_ref ORDER BY advice_ref))
end [AdviceID]
FROM [ED_dups].[dbo].[NewEDDupsLongForm]
) data
PIVOT
( MAX(advice_ref)
FOR AdviceID IN (' + STUFF(#PVT, 1, 2, '') + ')
) pvt'
EXECUTE SP_EXECUTESQL #SQL
SQL server tells me that the query executed successfully, but there is no output. When I run snippets of the code, it seems that the problem either lies in the pivot statement, near
+ STUFF(#PVT, 1, 2, '') + ')
and/or in the select statement, near
''Advice0'' +
Thanks in advance for any help--I've been at this for days!
I think you have to initialize variables like
DECLARE #SQL NVARCHAR(MAX) = ''
DECLARE #PVT NVARCHAR(MAX) = ''
or
DECLARE #SQL NVARCHAR(MAX)
DECLARE #PVT NVARCHAR(MAX)
SELECT #SQL = '', #PVT = ''
Otherwise your #SQL would be null
fist thing that comes to my mind is - do you really need SQL to fetch you dataset with dynamic number of columns? If you are writting an application, then your user interface, being it a web page or desktop app form, would be much nicer place to transform your data into a desired structure.
If you really need to do so, you will make your life much easier when you will not try to do everything in one big and rather complicated query, but rather split it into smaller tasks done step by step. What I would do is to use temporary tables to store working results, then use cursors to process order by order and advice by advice while inserting my data into temporary table or tables, in the end return a content of this table. Wrap everything in a stored procedure.
This method will also allow you to debug it easier - you can check every single step if it has done what it was expected to do.
And final advice - share a definition of your NewEDDupsLongForm table - someone might write some code to help you out then.
cheers
How can I get each value of a column that has a comma separator in her value ?
Example:
ID ColumnUnified
1 12,34,56,78
2 80,99,70,56
What I want is a query to get the number without comma. If possible, in collumns.
12 34 56 78
This will work for any number of values http://beyondrelational.com/modules/2/blogs/70/posts/10844/splitting-delimited-data-to-columns-set-based-approach.aspx
The solution Madhivanan's link refers to is very creative, but I had a slight problem with it on SQL Server 2012 related to the name of one of the columns (Start). I've modified the code in his answer to use StartPos instead of Start for the column name.
I was not familiar with the system procedure spt_values, but I found a very informative description of the procedure here on SO for those who are interested in exactly how this solution works.
Finally, here's the (slightly) revised code from Madhivana's answer:
CREATE TABLE #test(id int, data varchar(100))
INSERT INTO #test VALUES (1,'This,is,a,test,string')
INSERT INTO #test VALUES (2,'See,if,it,can,be,split,into,many,columns')
DECLARE #pivot varchar(8000)
DECLARE #select varchar(8000)
SELECT #pivot = COALESCE(#pivot + ',', '') + '[col'
+ CAST(number + 1 AS VARCHAR(10)) + ']'
FROM master..spt_values
WHERE type = 'p'
AND number <= ( SELECT MAX(LEN(data) - LEN(REPLACE(data, ',', '')))
FROM #test
)
SELECT #select = '
select p.*
from (
select
id,substring(data, StartPos+2, endPos-StartPos-2) as token,
''col''+cast(row_number() over(partition by id order by StartPos) as varchar(10)) as n
from (
select
id, data, n as StartPos, charindex('','',data,n+2) endPos
from (select number as n from master..spt_values where type=''p'') num
cross join
(
select
id, '','' + data +'','' as data
from
#test
) m
where n < len(data)-1
and substring(data,n+1,1) = '','') as data
) pvt
Pivot ( max(token)for n in (' + #pivot + '))p'
EXEC(#select)
DROP TABLE #test
Maybe I demand too much from SQL but I feel like this should be possible. I start with a list of key-value pairs, like this:
'0:First, 1:Second, 2:Third, 3:Fourth'
etc. I can split this up pretty easily with a two-step parse that gets me a table like:
EntryNumber PairNumber Item
0 0 0
1 0 First
2 1 1
3 1 Second
etc.
Now, in the simple case of splitting the pairs into a pair of columns, it's fairly easy. I'm interested in the more advanced case where I might have multiple values per entry, like:
'0:First:Fishing, 1:Second:Camping, 2:Third:Hiking'
and such.
In that generic case, I'd like to find a way to take my 3-column result table and somehow pivot it to have one row per entry and one column per value-part.
So I want to turn this:
EntryNumber PairNumber Item
0 0 0
1 0 First
2 0 Fishing
3 1 1
4 1 Second
5 1 Camping
Into this:
Entry [1] [2] [3]
0 0 First Fishing
1 1 Second Camping
Is that just too much for SQL to handle, or is there a way? Pivots (even tricky dynamic pivots) seem like an answer, but I can't figure how to get that to work.
No, in SQL you can't infer columns dynamically based on the data found during the same query.
Even using the PIVOT feature in Microsoft SQL Server, you must know the columns when you write the query, and you have to hard-code them.
You have to do a lot of work to avoid storing the data in a relational normal form.
Alright, I found a way to accomplish what I was after. Strap in, this is going to get bumpy.
So the basic problem is to take a string with two kinds of delimiters: entries and values. Each entry represents a set of values, and I wanted to turn the string into a table with one column for each value per entry. I tried to make this a UDF, but the necessity for a temporary table and dynamic SQL meant it had to be a stored procedure.
CREATE PROCEDURE [dbo].[ParseValueList]
(
#parseString varchar(8000),
#itemDelimiter CHAR(1),
#valueDelimiter CHAR(1)
)
AS
BEGIN
SET NOCOUNT ON;
IF object_id('tempdb..#ParsedValues') IS NOT NULL
BEGIN
DROP TABLE #ParsedValues
END
CREATE TABLE #ParsedValues
(
EntryID int,
[Rank] int,
Pair varchar(200)
)
So that's just basic set up, establishing the temp table to hold my intermediate results.
;WITH
E1(N) AS (SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL
SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1 UNION ALL SELECT 1),--Brute forces 10 rows
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --Uses a cross join to generate 100 rows (10 * 10)
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --Uses a cross join to generate 10,000 rows (100 * 100)
cteTally(N) AS (SELECT ROW_NUMBER() OVER (ORDER BY N) FROM E4)
That beautiful piece of SQL comes from SQL Server Central's Forums and is credited to "a guru." It's a great little 10,000 line tally table perfect for string splitting.
INSERT INTO #ParsedValues
SELECT ItemNumber AS EntryID, ROW_NUMBER() OVER (PARTITION BY ItemNumber ORDER BY ItemNumber) AS [Rank],
SUBSTRING(Items.Item, T1.N, CHARINDEX(#valueDelimiter, Items.Item + #valueDelimiter, T1.N) - T1.N) AS [Value]
FROM(
SELECT ROW_NUMBER() OVER (ORDER BY T2.N) AS ItemNumber,
SUBSTRING(#parseString, T2.N, CHARINDEX(#itemDelimiter, #parseString + #itemDelimiter, T2.N) - T2.N) AS Item
FROM cteTally T2
WHERE T2.N < LEN(#parseString) + 2 --Ensures we cut out once the entire string is done
AND SUBSTRING(#itemDelimiter + #parseString, T2.N, 1) = #itemDelimiter
) AS Items, cteTally T1
WHERE T1.N < LEN(#parseString) + 2 --Ensures we cut out once the entire string is done
AND SUBSTRING(#valueDelimiter + Items.Item, T1.N, 1) = #valueDelimiter
Ok, this is the first really dense meaty part. The inner select is breaking up my string along the item delimiter (the comma), using the guru's string splitting method. Then that table is passed up to the outer select which does the same thing, but this time using the value delimiter (the colon) to each row. The inner RowNumber (EntryID) and the outer RowNumber over Partition (Rank) are key to the pivot. EntryID show which Item the values belong to, and Rank shows the ordinal of the values.
DECLARE #columns varchar(200)
DECLARE #columnNames varchar(2000)
DECLARE #query varchar(8000)
SELECT #columns = COALESCE(#columns + ',[' + CAST([Rank] AS varchar) + ']', '[' + CAST([Rank] AS varchar)+ ']'),
#columnNames = COALESCE(#columnNames + ',[' + CAST([Rank] AS varchar) + '] AS Value' + CAST([Rank] AS varchar)
, '[' + CAST([Rank] AS varchar)+ '] AS Value' + CAST([Rank] AS varchar))
FROM (SELECT DISTINCT [Rank] FROM #ParsedValues) AS Ranks
SET #query = '
SELECT '+ #columnNames +'
FROM #ParsedValues
PIVOT
(
MAX([Value]) FOR [Rank]
IN (' + #columns + ')
) AS pvt'
EXECUTE(#query)
DROP TABLE #ParsedValues
END
And at last, the dynamic sql that makes it possible. By getting a list of Distinct Ranks, we set up our column list. This is then written into the dynamic pivot which tilts the values over and slots each value into the proper column, each with a generic "Value#" heading.
Thus by calling EXEC ParseValueList with a properly formatted string of values, we can break it up into a table to feed into our purposes! It works (but is probably overkill) for simple key:value pairs, and scales up to a fair number of columns (About 50 at most, I think, but that'd be really silly.)
Anyway, hope that helps anyone having a similar issue.
(Yeah, it probably could have been done in something like SQLCLR as well, but I find a great joy in solving problems with pure SQL.)
Though probably not optimal, here's a more condensed solution.
DECLARE #DATA varchar(max);
SET #DATA = '0:First:Fishing, 1:Second:Camping, 2:Third:Hiking';
SELECT
DENSE_RANK() OVER (ORDER BY [Data].[row]) AS [Entry]
, [Data].[row].value('(./B/text())[1]', 'int') as "[1]"
, [Data].[row].value('(./B/text())[2]', 'varchar(64)') as "[2]"
, [Data].[row].value('(./B/text())[3]', 'varchar(64)') as "[3]"
FROM
(
SELECT
CONVERT(XML, '<A><B>' + REPLACE(REPLACE(#DATA , ',', '</B></A><A><B>'), ':', '</B><B>') + '</B></A>').query('.')
) AS [T]([c])
CROSS APPLY [T].[c].nodes('/A') AS [Data]([row]);
Hope is not too late.
You can use the function RANK to know the position of each Item per PairNumber. And then use Pivot
SELECT PairNumber, [1] ,[2] ,[3]
FROM
(
SELECT PairNumber, Item, RANK() OVER (PARTITION BY PairNumber order by EntryNumber) as RANKing
from tabla) T
PIVOT
(MAX(Item)
FOR RANKing in ([1],[2],[3])
)as PVT