How to get "," instead of "and" in the rows in SQL Server - sql-server

I have a table Test with 1 column
Module_name
Table
Computer
Laptop
Chair
My expected output:
Table,Computer,Laptop and Chair
My Query:
declare #module_name varchar(50)
SELECT #Module_Name = COALESCE(#Module_Name + ' and ', '') + module_name FROM
(SELECT DISTINCT module_name FROM Test) T
select #module_name
I am getting the output as:
Table and Computer and Laptop and Chair
My concern is how to get the "," instead of "and".

Have you tried xml method with stuff() function ?
declare #Module_names varchar(max)
set #Module_names = stuff((select distinct ',' +Module_name
from table t
for xml path('')),1,1, '')
select REVERSE(STUFF(REVERSE(#Module_names),
CHARINDEX(',', REVERSE(#Module_names)), 1,' dna ')) as Module_names

I don't endorse this solution, like I said in the comments, "grammarisation" should be done in your presentation layer.. You can, however, achieve this in SQL like so:
Edit: Slight update to cater for a single value return.
CREATE TABLE #Sample (Module varchar(10));
INSERT INTO #Sample
VALUES ('Table'),
('Computer'),
('Laptop'),
('Chair');
GO
WITH RNs AS (
SELECT Module,
ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS RN --SELECT NULL as there is no ID field to work with here, thus the order will be random
FROM #Sample)
SELECT STUFF((SELECT CASE WHEN RN = MAX(RN) OVER () AND RN != 1 THEN ' and ' ELSE ', ' END + Module
FROM RNs
ORDER BY RN
FOR XML PATH('')),1,2,'');
GO
DROP TABLE #Sample;

Use the following. First gather all records together with comma, then replace just the last one with "and". Will have to make sure that your column values don't contain comma or it will be misplaced with an "and" if on last occurence.
DECLARE #result VARCHAR(MAX) = STUFF(
(
SELECT DISTINCT
', ' + T.module_name
FROM
Test AS T
FOR XML
PATH('')
),
1, 2, '')
SET #result =
REVERSE(
STUFF( -- Replace
REVERSE(#result), -- ... in the reversed string
CHARINDEX(',', REVERSE(#result)), -- ... at the first position of the comma (the last one on the original string)
1, -- just 1 character (the comma)
'dna ') -- for the reversed " and"
)
SELECT #result

Used Row_number to capture last row,
CREATE TABLE test
([Module_name] varchar(8))
;
INSERT INTO test
([Module_name])
VALUES
('Table'),
('Computer'),
('Laptop'),
('Chair')
;
SELECT STUFF((SELECT CASE WHEN RN = MAX(RN) OVER () THEN ' and ' ELSE ', ' END + Module_name
from
(
SELECT Module_name,
ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS RN
FROM test
) rns
ORDER BY RN
FOR XML PATH('')),1,2,'');

Related

Remove all Non-Numeric Chars from String

I would like to truncate all characters in a column, no matter where they are.
Example:
"+49123/4567890(testnumber)"
Should be changed to
"491234567890"
Is there a way without doing a replace for each char?
I have tried to replace it with several, but it is very time-consuming.
As you mentioned, if you are expecting only [a-zA-z()/+], you can use the translate function which is available from 2017+
declare #table TABLE (str varchar(max))
insert into #table
select '+49123/4567890(estnumber)'
select replace(translate(str, '/+()abcdefghijklmnopqrstuvwxyz', '~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~'), '~', '') digits
from #table
For more complex scenarios where the characters are not known, you can try using recursive CTE on a string column to extract only digits like following query.
;with cte
as (
select v.txt originalstring
,v.txt
,convert(varchar(max), '') as digits
,1 as lev
from (
values ('+49123/4567890(testnumber)')
,('+234&*#$%!##')
) v(txt)
union all
select originalstring
,stuff(txt, 1, 1, '')
,(
case
when left(txt, 1) LIKE '[0-9]'
then digits + left(txt, 1)
else digits
end
)
,lev + 1
from cte
where txt > ''
)
select originalstring
,digits
from (
select c.originalstring
,c.digits
,row_number() over (partition by c.originalstring order by lev desc
) rn
from cte c
) t
where rn = 1
Output
originalstring digits
--------------- --------
+234&*#$%!## 234
+49123/4567890(testnumber) 491234567890
A set-based option that exists in SQL Server 2017+ is to utilise translate.
You can hopefully adapt the following to your specific use-case:
select col, Replace(Translate(col, r, Replicate('*', Len(r))), '*', '') Newcol
from t
cross apply(values(' ABCDEFGHIJKLMNOPQRSTUVWXYZ/\+()'))r(r);
Example DB<>Fiddle
Instead of hardcoding the list of "bad" characters you can use a double TRANSLATE to first get the unwanted characters and then plug that back into TRANSLATE.
DECLARE #table TABLE
(
str VARCHAR(max)
)
INSERT INTO #table
SELECT '+49123/4567890(testnumber) '
DECLARE #CharactersToKeep VARCHAR(30) = '0123456789'
SELECT REPLACE(TRANSLATE(str, bad_chars, REPLICATE('X', LEN(bad_chars + 'X') - 1)), 'X', '')
FROM #table
CROSS APPLY (SELECT REPLACE(TRANSLATE(str, #CharactersToKeep, REPLICATE(LEFT(#CharactersToKeep, 1), LEN(#CharactersToKeep))), LEFT(#CharactersToKeep, 1), '')) ca(bad_chars)

return value at a position from STRING_SPLIT in SQL Server 2016

Can I return a value at a particular position with the STRING_SPLIT function in SQL Server 2016 or higher?
I know the order from a select is not guaranteed, but is it with STRING_SPLIT?
DROP TABLE IF EXISTS #split
SELECT 'z_y_x' AS splitIt
INTO #split UNION
SELECT 'a_b_c'
SELECT * FROM #split;
WITH cte
AS (
SELECT ROW_NUMBER() OVER ( PARTITION BY s.splitIt ORDER BY s.splitIt ) AS position,
s.splitIt,
value
FROM #split s
CROSS APPLY STRING_SPLIT(s.splitIt, '_')
)
SELECT * FROM cte WHERE position = 2
Will this always return the value at the 2nd element? b for a_b_c and y for z_y_x?
I don't understand why Microsoft doesn't return a position indicator column alongside the value for this function.
There is - starting with v2016 - a solution via FROM OPENJSON():
DECLARE #str VARCHAR(100) = 'val1,val2,val3';
SELECT *
FROM OPENJSON('["' + REPLACE(#str,',','","') + '"]');
The result
key value type
0 val1 1
1 val2 1
2 val3 1
The documentation tells clearly:
When OPENJSON parses a JSON array, the function returns the indexes of the elements in the JSON text as keys.
For your case this was:
SELECT 'z_y_x' AS splitIt
INTO #split UNION
SELECT 'a_b_c'
DECLARE #delimiter CHAR(1)='_';
SELECT *
FROM #split
CROSS APPLY OPENJSON('["' + REPLACE(splitIt,#delimiter,'","') + '"]') s
WHERE s.[key]=1; --zero based
Let's hope, that future versions of STRING_SPLIT() will include this information
UPDATE Performance tests, compare with popular Jeff-Moden-splitter
Try this out:
USE master;
GO
CREATE DATABASE dbTest;
GO
USE dbTest;
GO
--Jeff Moden's splitter
CREATE FUNCTION [dbo].[DelimitedSplit8K](#pString VARCHAR(8000), #pDelimiter CHAR(1))
RETURNS TABLE WITH SCHEMABINDING AS
RETURN
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
), --10E+1 or 10 rows
E2(N) AS (SELECT 1 FROM E1 a, E1 b), --10E+2 or 100 rows
E4(N) AS (SELECT 1 FROM E2 a, E2 b), --10E+4 or 10,000 rows max
cteTally(N) AS (
SELECT TOP (ISNULL(DATALENGTH(#pString),0)) ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E4
),
cteStart(N1) AS (
SELECT 1 UNION ALL
SELECT t.N+1 FROM cteTally t WHERE SUBSTRING(#pString,t.N,1) = #pDelimiter
),
cteLen(N1,L1) AS(
SELECT s.N1,
ISNULL(NULLIF(CHARINDEX(#pDelimiter,#pString,s.N1),0)-s.N1,8000)
FROM cteStart s
)
SELECT ItemNumber = ROW_NUMBER() OVER(ORDER BY l.N1),
Item = SUBSTRING(#pString, l.N1, l.L1)
FROM cteLen l
;
GO
--Avoid first call bias
SELECT * FROM dbo.DelimitedSplit8K('a,b,c',',');
GO
--Table to keep the results
CREATE TABLE Results(ID INT IDENTITY,ResultSource VARCHAR(100),durationMS INT, RowsCount INT);
GO
--Table with strings to split
CREATE TABLE dbo.DelimitedItems(ID INT IDENTITY,DelimitedNString nvarchar(4000),DelimitedString varchar(8000));
GO
--Get rows wiht randomly mixed strings of 100 items
--Try to play with the count of rows (count behind GO) and the count with TOP
INSERT INTO DelimitedItems(DelimitedNString)
SELECT STUFF((
SELECT TOP 100 ','+REPLACE(v.[name],',',';')
FROM master..spt_values v
WHERE LEN(v.[name])>0
ORDER BY NewID()
FOR XML PATH('')),1,1,'')
--Keep it twice in varchar and nvarchar
UPDATE DelimitedItems SET DelimitedString=DelimitedNString;
GO 500 --create 500 differently mixed rows
--The tests
DECLARE #d DATETIME2;
SET #d = SYSUTCDATETIME();
SELECT DI.ID, DS.Item, DS.ItemNumber
INTO #TEMP
FROM dbo.DelimitedItems DI
CROSS APPLY dbo.DelimitedSplit8K(DI.DelimitedNString,',') DS;
INSERT INTO Results(ResultSource,RowsCount,durationMS)
SELECT 'delimited8K with NVARCHAR(4000)'
,(SELECT COUNT(*) FROM #TEMP) AS RowCountInTemp
,DATEDIFF(MILLISECOND,#d,SYSUTCDATETIME()) AS Duration_NV_ms_delimitedSplit8K
SET #d = SYSUTCDATETIME();
SELECT DI.ID, DS.Item, DS.ItemNumber
INTO #TEMP2
FROM dbo.DelimitedItems DI
CROSS APPLY dbo.DelimitedSplit8K(DI.DelimitedString,',') DS;
INSERT INTO Results(ResultSource,RowsCount,durationMS)
SELECT 'delimited8K with VARCHAR(8000)'
,(SELECT COUNT(*) FROM #TEMP2) AS RowCountInTemp
,DATEDIFF(MILLISECOND,#d,SYSUTCDATETIME()) AS Duration_V_ms_delimitedSplit8K
SET #d = SYSUTCDATETIME();
SELECT DI.ID, OJ.[Value] AS Item, OJ.[Key] AS ItemNumber
INTO #TEMP3
FROM dbo.DelimitedItems DI
CROSS APPLY OPENJSON('["' + REPLACE(DI.DelimitedNString,',','","') + '"]') OJ;
INSERT INTO Results(ResultSource,RowsCount,durationMS)
SELECT 'OPENJSON with NVARCHAR(4000)'
,(SELECT COUNT(*) FROM #TEMP3) AS RowCountInTemp
,DATEDIFF(MILLISECOND,#d,SYSUTCDATETIME()) AS Duration_NV_ms_OPENJSON
SET #d = SYSUTCDATETIME();
SELECT DI.ID, OJ.[Value] AS Item, OJ.[Key] AS ItemNumber
INTO #TEMP4
FROM dbo.DelimitedItems DI
CROSS APPLY OPENJSON('["' + REPLACE(DI.DelimitedString,',','","') + '"]') OJ;
INSERT INTO Results(ResultSource,RowsCount,durationMS)
SELECT 'OPENJSON with VARCHAR(8000)'
,(SELECT COUNT(*) FROM #TEMP4) AS RowCountInTemp
,DATEDIFF(MILLISECOND,#d,SYSUTCDATETIME()) AS Duration_V_ms_OPENJSON
GO
SELECT * FROM Results;
GO
--Clean up
DROP TABLE #TEMP;
DROP TABLE #TEMP2;
DROP TABLE #TEMP3;
DROP TABLE #TEMP4;
USE master;
GO
DROP DATABASE dbTest;
Results:
200 items in 500 rows
1220 delimited8K with NVARCHAR(4000)
274 delimited8K with VARCHAR(8000)
417 OPENJSON with NVARCHAR(4000)
443 OPENJSON with VARCHAR(8000)
100 items in 500 rows
421 delimited8K with NVARCHAR(4000)
140 delimited8K with VARCHAR(8000)
213 OPENJSON with NVARCHAR(4000)
212 OPENJSON with VARCHAR(8000)
100 items in 5 rows
10 delimited8K with NVARCHAR(4000)
5 delimited8K with VARCHAR(8000)
3 OPENJSON with NVARCHAR(4000)
4 OPENJSON with VARCHAR(8000)
5 items in 500 rows
32 delimited8K with NVARCHAR(4000)
30 delimited8K with VARCHAR(8000)
28 OPENJSON with NVARCHAR(4000)
24 OPENJSON with VARCHAR(8000)
--unlimited length (only possible with OPENJSON)
--Wihtout a TOP clause while filling
--results in about 500 items in 500 rows
1329 OPENJSON with NVARCHAR(4000)
1117 OPENJSON with VARCHAR(8000)
Facit:
the popular splitter function does not like NVARCHAR
the function is limited to strings within 8k byte volumen
Only the case with many items and many rows in VARCHAR lets the splitter function be ahead.
In all other cases OPENJSON seems to be more or less faster...
OPENJSON can deal with (almost) unlimited counts
OPENJSON demands for v2016
Everybody is waiting for STRING_SPLIT with the position
UPDATE Added STRING_SPLIT to the test
In the meanwhile I re-run the test with two more test sections using STRING_SPLIT(). As position I had to return a hardcoded value as this function does not return the part's index.
In all tested cases OPENJSON was close with STRING_SPLIT and often faster:
5 items in 1000 rows
250 delimited8K with NVARCHAR(4000)
124 delimited8K with VARCHAR(8000) --this function is best with many rows in VARCHAR
203 OPENJSON with NVARCHAR(4000)
204 OPENJSON with VARCHAR(8000)
235 STRING_SPLIT with NVARCHAR(4000)
234 STRING_SPLIT with VARCHAR(8000)
200 items in 30 rows
140 delimited8K with NVARCHAR(4000)
31 delimited8K with VARCHAR(8000)
47 OPENJSON with NVARCHAR(4000)
31 OPENJSON with VARCHAR(8000)
47 STRING_SPLIT with NVARCHAR(4000)
31 STRING_SPLIT with VARCHAR(8000)
100 items in 10.000 rows
8145 delimited8K with NVARCHAR(4000)
2806 delimited8K with VARCHAR(8000) --fast with many rows!
5112 OPENJSON with NVARCHAR(4000)
4501 OPENJSON with VARCHAR(8000)
5028 STRING_SPLIT with NVARCHAR(4000)
5126 STRING_SPLIT with VARCHAR(8000)
The simple answer is, no. Microsoft so far have refused to provide Ordinal position as part of the return dataset in STRING_SPLIT. You'll need to use a different solution I'm afraid. For example Jeff Moden's DelimitedSplit8k.
(Yes, I realise this is more or less a link only answer, however, pasting Jeff's solution here would effectively be plagiarism).
If you were to use Jeff's solution, then you would be able to do something like:
SELECT *
FROM dbo.DelimitedSplit8K('a,b,c,d,e,f,g,h,i,j,k',',') DS
WHERE ItemNumber = 2;
Of course, you'd likely be passing column rather than a literal string.
I just extended #Shnugo's answer if the splitted text would contain line breaks, unicode and other non json compatible characters, to use
STRING_ESCAPE
My Test code with pipe as separator instead comma:
DECLARE #Separator VARCHAR(5) = STRING_ESCAPE('|', 'json'); -- here pipe or use any other separator (even ones escaped by json)
DECLARE #LongText VARCHAR(MAX) = 'Albert says: "baby, listen!"|ve Çağrı söylüyor: "Elma"|1st Line' + CHAR(13) + CHAR(10) + '2nd line';
SELECT * FROM OPENJSON('["' + REPLACE(STRING_ESCAPE(#LongText, 'json'), #Separator ,'","') + '"]'); -- ok
-- SELECT * FROM OPENJSON('["' + REPLACE(#LongText, #Separator ,'","') + '"]'); -- fails with: JSON text is not properly formatted. ...
Updated due to comment from Simon Zeinstra
I didn't want to deal with OPENJSON, but still wanted to get string_split() value by index.
The performance was not an issue in my case.
I used CTE (Common Table Expression)
Assume you have string str = "part1 part2 part3".
WITH split_res_list as
(
SELECT value FROM STRING_SPLIT('part1 part2 part3', ' ')
),
split_res_list_with_index as
(
SELECT [value],
ROW_NUMBER() OVER (ORDER BY [value] ASC) as [RowNumber]
FROM split_res_list
)
SELECT * FROM split_res_list_with_index WHERE RowNumber = 2
BUT: please be aware that the order of 3 parts is changed according to ORDER BY condition!
The output for the second row with "part2" value:
Using STRING_SPLIT:
STRING_SPLIT ( string , separator [ , enable_ordinal ] )
enable_ordinal
An int or bit expression that serves as a flag to enable or disable the ordinal output column. A value of 1 enables the ordinal column. If enable_ordinal is omitted, NULL, or has a value of 0, the ordinal column is disabled.
The enable_ordinal argument and ordinal output column are currently only supported in Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics (serverless SQL pool only).
Query:
SELECT value FROM STRING_SPLIT('part1_part2_part3', '_', 1) WHERE ordinal = 2;
Here is my workaround. I will follow the Question waiting for a better answer:
UPDATED: Original code did not take into consideration if a word contains another.
UPDATE 2: Performance was horrible in production so i have to think another way. you have it at the end as option 2, implementation for table.
UPDATE 3: Added code for UDF in the implementation in a string.
Implementation in a string:
declare #a as nvarchar(100) = 'Lorem ipsum dolor dol ol sit amet. D Lorem DO ipsum DOL dolor sit amet. DOLORES ipsum';
WITH T AS (
SELECT T1.value
,charindex(' ' + T1.value + ' ',' ' + #a + ' ' ,0) AS INDX
,RN = ROW_NUMBER() OVER (PARTITION BY value order BY value)
FROM STRING_SPLIT(#a, ' ') AS T1
WHERE T1.value <> ''
),
R (VALUE,INDX,RN) AS (
SELECT *
FROM T
WHERE T.RN = 1
UNION ALL
SELECT T.VALUE
,charindex(' ' + T.value + ' ',' ' + #a + ' ',R.INDX + 1) AS INDX
,T.RN
FROM T
JOIN R
ON T.value = R.VALUE
AND T.RN = R.RN + 1
)
SELECT * FROM R ORDER BY INDX
result:
tableOfResults
UDF:
CREATE FUNCTION DBO.UDF_get_word(#string nvarchar(100),#wordNumber int)
returns nvarchar(100)
AS
BEGIN
DECLARE #searchedWord nvarchar(100);
WITH T AS (
SELECT T1.value
,charindex(' ' + T1.value + ' ',' ' + #string + ' ' ,0) AS INDX
,RN = ROW_NUMBER() OVER (PARTITION BY value order BY value)
FROM STRING_SPLIT(#string, ' ') AS T1
WHERE T1.value <> ''
),
R (VALUE,INDX,RN) AS (
SELECT *
FROM T
WHERE T.RN = 1
UNION ALL
SELECT T.VALUE
,charindex(' ' + T.value + ' ',' ' + #string + ' ',R.INDX + 1) AS INDX
,T.RN
FROM T
JOIN R
ON T.value = R.VALUE
AND T.RN = R.RN + 1
)
SELECT #searchedWord = (value) FROM ( SELECT *, ORD = ROW_NUMBER() OVER (ORDER BY INDX) FROM R )AS TBL WHERE ORD = #wordNumber
RETURN #searchedword
END
GO
Modification for a column in a table, OPTION 1:
WITH T AS (
SELECT T1.stringToBeSplit
,T1.column1 --column1 is an example of column where stringToBeSplit is the same for more than one record. better to be avoid but if you need to added here it is how just follow column1 over the code
,T1.column2
,T1.value
,T1.column3
/*,...any other column*/
,charindex(' ' + T1.value + ' ',' ' + T1.stringToBeSplit + ' ' ,0) AS INDX
,RN = ROW_NUMBER() OVER (PARTITION BY t1.column1, T1.stringToBeSplit, T1.value order BY T1.column1, T1.T1.stringToBeSplit, T1.value) --any column that create duplicates need to be added here as example i added column1
FROM (SELECT TOP 10 * FROM YourTable D CROSS APPLY string_split(D.stringToBeSplit,' ')) AS T1
WHERE T1.value <> ''
),
R (stringToBeSplit, column1, column2, value, column3, INDX, RN) AS (
SELECT stringToBeSplit, column1, column2, value, column3, INDX, RN
FROM T
WHERE T.RN = 1
UNION ALL
SELECT T.stringToBeSplit, T.column1, column2, T.value, T.column3
,charindex(' ' + T.value + ' ',' ' + T.stringToBeSplit + ' ',R.INDX + 1) AS INDX
,T.RN
FROM T
JOIN R
ON T.value = R.VALUE AND T.COLUMN1 = R.COLUMN1 --any column that create duplicates need to be added here as exapmle i added column1
AND T.RN = R.RN + 1
)
SELECT * FROM R ORDER BY column1, stringToBeSplit, INDX
Modification for a column in a table, OPTION 2 (max performance i could get, main action came from removing the join and finding a way of properly execute (and stop) the recursive loop of the CTE, from 1.30 for 1000 lines to 2 sec for 30K lines of strings of similar type and length):
WITH T AS (
SELECT T1.stringToBeSplit --no extracolumns this time
,T1.value
,charindex(' ' + T1.value + ' ',' ' + T1.stringToBeSplit + ' ' ,0) AS INDX
,RN = ROW_NUMBER() OVER (PARTITION BY T1.stringToBeSplit,T1.value order BY T1.stringToBeSplit,T1.value) --from clause use distinct and where if possible
FROM (SELECT DISTINCT stringToBeSplit, VALUE FROM [your table] D CROSS APPLY string_split(D.stringToBeSplit,' ') WHERE [your filter]) AS T1
WHERE T1.value <> ''
),
R (stringToBeSplit, value, INDX, RN) AS (
SELECT stringToBeSplit, value, INDX, RN
FROM T
WHERE T.RN = 1
UNION ALL
SELECT R.stringToBeSplit, R.value
,charindex(' ' + R.value + ' ',' ' + R.stringToBeSplit + ' ',R.INDX + 1) AS INDX
,R.RN + 1
FROM R
WHERE charindex(' ' + R.value + ' ',' ' + R.stringToBeSplit + ' ',R.INDX + 1) <> 0
)
SELECT * FROM R ORDER BY stringToBeSplit, INDX
For getting the word ordinal instead of SELECT * FROM R USE:
SELECT stringToBeSplit ,value , ROW_NUMBER() OVER (PARTITION BY stringToBeSplit order BY [indX]) AS ORD FROM R
if instead of having one RW per word you prefer one column:
select * FROM (SELECT [name 1],value , ROW_NUMBER() OVER (PARTITION BY [name 1] order BY [indX]) AS ORD FROM R ) as R2
pivot (MAX(VALUE) FOR ORD in ([1],[2],[3]) ) AS PIV
if you don't want to specify the number of columns QUOTNAME() like in this link, in my case i only need first 4 words rest are irrelevant for the moment. Below the code from the page in case link fail:
DECLARE
#columns NVARCHAR(MAX) = '',
#sql NVARCHAR(MAX) = '';
-- select the category names
SELECT
#columns+=QUOTENAME(category_name) + ','
FROM
production.categories
ORDER BY
category_name;
-- remove the last comma
SET #columns = LEFT(#columns, LEN(#columns) - 1);
-- construct dynamic SQL
SET #sql ='
SELECT * FROM
(
SELECT
category_name,
model_year,
product_id
FROM
production.products p
INNER JOIN production.categories c
ON c.category_id = p.category_id
) t
PIVOT(
COUNT(product_id)
FOR category_name IN ('+ #columns +')
) AS pivot_table;';
-- execute the dynamic SQL
EXECUTE sp_executesql #sql;
Last but not least i'm really looking forward to know if there is an easier way with same performance either in SQL server or in C#. i just think everything that does not use external info should stay in the Server and run as query or batch but not sure to be honest as i heard the contrary (specially from people that use panda) but no one have convince me just yet.
This works
Example:
String = "pos1-pos2-pos3"
REVERSE(PARSENAME(REPLACE(REVERSE(String), '-', '.'), 1))
With 1 Returns "pos1"
With 2 will return "pos2"...

Comparing two tables and displaying the result as a separate output

I have two tables and the values like this, `
CREATE TABLE Location (ID int ,Location Varchar(500))
INSERT INTO Location values (1,'Loc3'),(2,'Loc4'),(3,'Loc5'),(4,'Loc7')
CREATE TABLE InputLocation (ID int ,Location Varchar(500))
Insert into InputLocation values(1,'Loc1,Loc2,Loc3,Loc4,Loc5,Loc6')
I need to get the output by matching each values from table Location with table InputLocation and need to display the output whichever not matched with 2nd table, i.e Loc1,Loc2,Loc6 , I have tried some code like this and it worked But i need even simpler code, Any help would be greatly appreciated
My code :
SELECT STUFF((select ','+ Data.C1
FROM
(select
n.r.value('.', 'varchar(50)') AS C1
from InputLocation as T
cross apply (select cast('<r>'+replace(replace(Location,'&','&'), ',', '</r><r>')+'</r>' as xml)) as S(XMLCol)
cross apply S.XMLCol.nodes('r') as n(r)) DATA
WHERE data.C1 NOT IN (SELECT Location
FROM Location) for xml path('')),1,1,'') As Output
your script is ok.
Another method will be to use SPLIT String as describe here.
http://www.sqlservercentral.com/articles/Tally+Table/72993/
use [dbo].[DelimitedSplit8K]
Suppose my comma seperated string won't be longer than 500 then in my custom UDF i make it 500 varchar instead of varchar(8000) in order to improve performance.
SELECT STUFF((
SELECT ',' + Data.item
FROM (
SELECT il.ID
,fn.item
FROM #InputLocation IL
CROSS APPLY (
SELECT *
FROM dbo.DelimitedSplit2K(il.Location, ',')
) fn
WHERE NOT EXISTS (
SELECT *
FROM #Location L
WHERE l.Location = fn.Item
)
) data
FOR XML path('')
), 1, 1, '') AS
OUTPUT
Use recursion to avoid using slow XML Reader:
;with tmp(DataItem, Location) as (
select cast(LEFT(Location, CHARINDEX(',',Location+',')-1) as nvarchar(50)),
cast(STUFF(Location, 1, CHARINDEX(',',Location+','), '') as nvarchar(50))
from [InputLocation]
union all
select cast(LEFT(Location, CHARINDEX(',',Location+',')-1) as nvarchar(50)),
cast(STUFF(Location, 1, CHARINDEX(',',Location+','), '') as nvarchar(50))
from tmp
where Location > ''
)
select STUFF((SELECT ',' + x.Location
from (
select DataItem as Location from tmp
except Select Location from [Location]) x
FOR XML path('')), 1, 1, '') AS OUTPUT

SQL Pivot table without aggregate

I have a number of text files that are in a format similar to what is shown below.
ENTRY,1,000000,Widget 4000,1,,,2,,
FIELD,Type,A
FIELD,Component,Widget 4000
FIELD,Vendor,Acme
ENTRY,2,000000,PRODUCT XYZ,1,,,3,
FIELD,Type,B
FIELD,ItemAssembly,ABCD
FIELD,Component,Product XYZ - 123
FIELD,Description1,Product
FIELD,Description2,XYZ-123
FIELD,Description3,Alternate Part #440
FIELD,Vendor,Contoso
They have been imported into a table with VARCHAR(MAX) as the only field. Each ENTRY is a "new" item, and all the subsequent FIELD rows are properties of that item. The data next to the FIELD is the column name of the property. The data to the right of the property is the data I want to display.
The desired output would be:
ENTRY Type Component Vendor ItemAssembly Description1
1,000000,Widget 4000 A Widget 4000 Acme
2,000000,Product XYZ B Product XYZ-123 Contoso ABCD Product
I've got the column names using the code below (there are several tables that I have UNIONed together to list all the property names).
select #cols =
STUFF (
(select Distinct ', ' + QUOTENAME(ColName) from
(SELECT
SUBSTRING(ltrim(textFileData),CHARINDEX(',', textFileData, 1)+1,CHARINDEX(',', textFileData, CHARINDEX(',', textFileData, 1)+1)- CHARINDEX(',', textFileData, 1)-1) as ColName
FROM [MyDatabase].[dbo].[MyTextFile]
where
(LEFT(textFileData,7) LIKE #c)
UNION
....
) A
FOR XML PATH(''), TYPE).value('.','NVARCHAR(MAX)'),1,1,'')
Is a Pivot table the best way to do this? No aggregation is needed. Is there a better way to accomplish this? I want to list out data next to the FIELD name in a column format.
Thanks!
Here is the solution in SQL fiddle:
http://sqlfiddle.com/#!3/8f0b0/8
Prepare raw data in format (entry, field, value), use dynamic SQL to make pivot on unknown column count.
MAX() for string is enough to simulate "without aggregate" behavior in this case.
create table t(data varchar(max))
insert into t values('ENTRY,1,000000,Widget 4000,1,,,2,,')
insert into t values('FIELD,Type,A')
insert into t values('FIELD,Component,Widget 4000')
insert into t values('FIELD,Vendor,Acme ')
insert into t values('ENTRY,2,000000,PRODUCT XYZ,1,,,3,')
insert into t values('FIELD,Type,B')
insert into t values('FIELD,ItemAssembly,ABCD')
insert into t values('FIELD,Component,Product XYZ - 123')
insert into t values('FIELD,Description1,Product ')
insert into t values('FIELD,Description2,XYZ-123 ')
insert into t values('FIELD,Description3,Alternate Part #440')
insert into t values('FIELD,Vendor,Contoso');
create type preparedtype as table (entry varchar(max), field varchar(max), value varchar(max))
declare #prepared preparedtype
;with identified as
(
select
row_number ( ) over (order by (select 1)) as id,
substring(data, 1, charindex(',', data) - 1) as type,
substring(data, charindex(',', data) + 1, len(data)) as data
from t
)
, tree as
(
select
id,
(select max(id)
from identified
where type = 'ENTRY'
and id <= i.id) as parentid,
type,
data
from identified as i
)
, pivotsrc as
(
select
p.data as entry,
substring(c.data, 1, charindex(',', c.data) - 1) as field,
substring(c.data, charindex(',', c.data) + 1, len(c.data)) as value
from tree as p
inner join tree as c on c.parentid = p.id
where p.id = p.parentid
and c.parentid <> c.id
)
insert into #prepared
select * from pivotsrc
declare #dynamicPivotQuery as nvarchar(max)
declare #columnName as nvarchar(max)
select #columnName = ISNULL(#ColumnName + ',','')
+ QUOTENAME(field)
from (select distinct field from #prepared) AS fields
set #dynamicPivotQuery = N'select * from #prepared
pivot (max(value) for field in (' + #columnName + ')) as result'
exec sp_executesql #DynamicPivotQuery, N'#prepared preparedtype readonly', #prepared
Here your are, this comes back exactly as you need it. I love tricky SQL :-). This is a real ad-hoc singel-statement call.
DECLARE #tbl TABLE(OneCol VARCHAR(MAX));
INSERT INTO #tbl
VALUES('ENTRY,1,000000,Widget 4000,1,,,2,,')
,('FIELD,Type,A')
,('FIELD,Component,Widget 4000')
,('FIELD,Vendor,Acme ')
,('ENTRY,2,000000,PRODUCT XYZ,1,,,3,')
,('FIELD,Type,B')
,('FIELD,ItemAssembly,ABCD')
,('FIELD,Component,Product XYZ - 123')
,('FIELD,Description1,Product ')
,('FIELD,Description2,XYZ-123 ')
,('FIELD,Description3,Alternate Part #440')
,('FIELD,Vendor,Contoso');
WITH OneColumn AS
(
SELECT ROW_NUMBER() OVER(ORDER BY (SELECT 1)) AS inx
,CAST('<root><r>' + REPLACE(OneCol,',','</r><r>') + '</r></root>' AS XML) AS Split
FROM #tbl AS tbl
)
,AsParts AS
(
SELECT inx
,Each.part.value('/root[1]/r[1]','varchar(max)') AS Part1
,Each.part.value('/root[1]/r[2]','varchar(max)') AS Part2
,Each.part.value('/root[1]/r[3]','varchar(max)') AS Part3
,Each.part.value('/root[1]/r[4]','varchar(max)') AS Part4
,Each.part.value('/root[1]/r[5]','varchar(max)') AS Part5
FROM OneColumn
CROSS APPLY Split.nodes('/root') AS Each(part)
)
,TheEntries AS
(
SELECT DISTINCT *
FROM AsParts
WHERE Part1='ENTRY'
)
SELECT TheEntries.Part2 + ',' + TheEntries.Part3 + ',' + TheEntries.Part4 AS [ENTRY]
,MyFields.AsXML.value('(fields[1]/field[Part2="Type"])[1]/Part3[1]','varchar(max)') AS [Type]
,MyFields.AsXML.value('(fields[1]/field[Part2="Component"])[1]/Part3[1]','varchar(max)') AS Component
,MyFields.AsXML.value('(fields[1]/field[Part2="Vendor"])[1]/Part3[1]','varchar(max)') AS Vendor
,MyFields.AsXML.value('(fields[1]/field[Part2="ItemAssembly"])[1]/Part3[1]','varchar(max)') AS ItemAssembly
,MyFields.AsXML.value('(fields[1]/field[Part2="Description1"])[1]/Part3[1]','varchar(max)') AS Description1
FROM TheEntries
CROSS APPLY
(
SELECT *
FROM AsParts AS ap
WHERE ap.Part1='FIELD' AND ap.inx>TheEntries.inx
AND ap.inx < ISNULL((SELECT TOP 1 nextEntry.inx FROM TheEntries AS nextEntry WHERE nextEntry.inx>TheEntries.inx ORDER BY nextEntry.inx DESC),10000000)
ORDER BY ap.inx
FOR XML PATH('field'), ROOT('fields'),TYPE
) AS MyFields(AsXML)

How to parse a string and create several columns from it?

I have a varchar(max) field containing Name Value pairs, in every line I have Name UnderScore Value.
I need to do a query against it so that it returns the Name, Value pairs in two columns (so by parsing the text, removing the underscore and the "new line" char.
So from this
select NameValue from Table
where I get this text:
Name1_Value1
Name2_Value2
Name3_Value3
I would like to have this output
Names Values
===== ======
Name1 Value1
Name2 Value2
Name3 Value3
SELECT substring(NameValue, 1, charindex('_', NameValue)-1) AS Names,
substring(NameValue, charindex('_', NameValue)+1, LEN(NameValue)) AS Values
FROM Table
EDIT:
Something like this put in a function or stored procedure combined with a temp table should work for more than one line, depending on the line delimiter you should also remove CHAR(13) before you start:
DECLARE #helper varchar(512)
DECLARE #current varchar(512)
SET #helper = NAMEVALUE
WHILE CHARINDEX(CHAR(10), #helper) > 0 BEGIN
SET #current = SUBSTRING(#helper, 1, CHARINDEX(CHAR(10), #helper)-1)
SELECT SUBSTRING(#current, 1, CHARINDEX('_', #current)-1) AS Names,
SUBSTRING(#current, CHARINDEX('_', #current)+1, LEN(#current)) AS Names
SET #helper = SUBSTRING(#helper, CHARINDEX(CHAR(10), #helper)+1, LEN(#helper))
END
SELECT SUBSTRING(#helper, 1, CHARINDEX('_', #helper)-1) AS Names,
SUBSTRING(#helper, CHARINDEX('_', #helper)+1, LEN(#helper)) AS Names
DECLARE #TExt NVARCHAR(MAX)= '***[ddd]***
dfdf
fdfdfdfdfdf
***[fff]***
4545445
45454
***[ahaASSDAD]***
DFDFDF
***[SOME TEXT]***
'
DECLARE #Delimiter VARCHAR(1000)= CHAR(13) + CHAR(10) ;
WITH numbers
AS ( SELECT ROW_NUMBER() OVER ( ORDER BY o.object_id, o2.object_id ) Number
FROM sys.objects o
CROSS JOIN sys.objects o2
),
c AS ( SELECT Number CHARBegin ,
ROW_NUMBER() OVER ( ORDER BY number ) RN
FROM numbers
WHERE SUBSTRING(#text, Number, LEN(#Delimiter)) = #Delimiter
),
res
AS ( SELECT CHARBegin ,
CAST(LEFT(#text, charbegin) AS NVARCHAR(MAX)) Res ,
RN
FROM c
WHERE rn = 1
UNION ALL
SELECT c.CHARBegin ,
CAST(SUBSTRING(#text, res.CHARBegin,
c.CHARBegin - res.CHARBegin) AS NVARCHAR(MAX)) ,
c.RN
FROM c
JOIN res ON c.RN = res.RN + 1
)
SELECT *
FROM res
He is an example that you can use:
-- Creating table:
create table demo (dID int, dRec varchar(100));
-- Inserting records:
insert into demo (dID, dRec) values (1, 'BCQP1 Sam');
insert into demo (dID, dRec) values (2, 'BCQP2 LD');
-- Selecting fields to retrive records:
select * from demo;
Then I want to show in one single row both rows combined and display only the values from the left removing the name on the right side up to the space character.
/*
The STUFF() function puts a string in another string, from an initial position.
The LEFT() function returns the left part of a character string with the specified number of characters.
The CHARINDEX() string function returns the starting position of the specified expression in a character string.
*/
SELECT
DISTINCT
STUFF((SELECT ' ' + LEFT(dt1.dRec, charindex(' ', dt1.dRec) - 1)
FROM demo dt1
ORDER BY dRec
FOR XML PATH('')), 1, 1, '') [Convined values]
FROM demo dt2
--
GROUP BY dt2.dID, dt2.dRec
ORDER BY 1
As you can see here when you run the function the output will be:
BCQP1 BCQP2
On the top of the script I explained what each function is used for (STUFF(), LEFT(), CHARINDEX() functions) I also used DISTINCT in order to eliminate duplicate values.
NOTE: dt stands for "demo table", I used the same table and use two alias dt1 and dt2, and dRec stands for "demo Record"
If you want to learn more about STUFF() Function here is a link:
https://www.mssqltips.com/sqlservertip/2914/rolling-up-multiple-rows-into-a-single-row-and-column-for-sql-server-data/
With a CTE you will have a problem with Recursion if more that 100 items
Msg 530, Level 16, State 1, Line 20 The statement terminated. The
maximum recursion 100 has been exhausted before statement completion.
DECLARE #TExt NVARCHAR(MAX)
SET #TExt = '100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203'
DECLARE #Delimiter VARCHAR(1000)= ',';
WITH numbers
AS ( SELECT ROW_NUMBER() OVER ( ORDER BY o.object_id, o2.object_id ) Number
FROM sys.objects o
CROSS JOIN sys.objects o2
),
c AS ( SELECT Number CHARBegin ,
ROW_NUMBER() OVER ( ORDER BY number ) RN
FROM numbers
WHERE SUBSTRING(#text, Number, LEN(#Delimiter)) = #Delimiter
),
res
AS ( SELECT CHARBegin ,
CAST(LEFT(#text, charbegin) AS NVARCHAR(MAX)) Res ,
RN
FROM c
WHERE rn = 1
UNION ALL
SELECT c.CHARBegin ,
CAST(SUBSTRING(#text, res.CHARBegin,
c.CHARBegin - res.CHARBegin) AS NVARCHAR(MAX)) ,
c.RN
FROM c
JOIN res ON c.RN = res.RN + 1
)
SELECT *
FROM res

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