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I have read the stuff on MS pivot tables and I am still having problems getting this correct.
I have a temp table that is being created, we will say that column 1 is a Store number, and column 2 is a week number and lastly column 3 is a total of some type. Also the Week numbers are dynamic, the store numbers are static.
Store Week xCount
------- ---- ------
102 1 96
101 1 138
105 1 37
109 1 59
101 2 282
102 2 212
105 2 78
109 2 97
105 3 60
102 3 123
101 3 220
109 3 87
I would like it to come out as a pivot table, like this:
Store 1 2 3 4 5 6....
-----
101 138 282 220
102 96 212 123
105 37
109
Store numbers down the side and weeks across the top.
If you are using SQL Server 2005+, then you can use the PIVOT function to transform the data from rows into columns.
It sounds like you will need to use dynamic sql if the weeks are unknown but it is easier to see the correct code using a hard-coded version initially.
First up, here are some quick table definitions and data for use:
CREATE TABLE yt
(
[Store] int,
[Week] int,
[xCount] int
);
INSERT INTO yt
(
[Store],
[Week], [xCount]
)
VALUES
(102, 1, 96),
(101, 1, 138),
(105, 1, 37),
(109, 1, 59),
(101, 2, 282),
(102, 2, 212),
(105, 2, 78),
(109, 2, 97),
(105, 3, 60),
(102, 3, 123),
(101, 3, 220),
(109, 3, 87);
If your values are known, then you will hard-code the query:
select *
from
(
select store, week, xCount
from yt
) src
pivot
(
sum(xcount)
for week in ([1], [2], [3])
) piv;
See SQL Demo
Then if you need to generate the week number dynamically, your code will be:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(Week)
from yt
group by Week
order by Week
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT store,' + #cols + ' from
(
select store, week, xCount
from yt
) x
pivot
(
sum(xCount)
for week in (' + #cols + ')
) p '
execute(#query);
See SQL Demo.
The dynamic version, generates the list of week numbers that should be converted to columns. Both give the same result:
| STORE | 1 | 2 | 3 |
---------------------------
| 101 | 138 | 282 | 220 |
| 102 | 96 | 212 | 123 |
| 105 | 37 | 78 | 60 |
| 109 | 59 | 97 | 87 |
This is for dynamic # of weeks.
Full example here:SQL Dynamic Pivot
DECLARE #DynamicPivotQuery AS NVARCHAR(MAX)
DECLARE #ColumnName AS NVARCHAR(MAX)
--Get distinct values of the PIVOT Column
SELECT #ColumnName= ISNULL(#ColumnName + ',','') + QUOTENAME(Week)
FROM (SELECT DISTINCT Week FROM #StoreSales) AS Weeks
--Prepare the PIVOT query using the dynamic
SET #DynamicPivotQuery =
N'SELECT Store, ' + #ColumnName + '
FROM #StoreSales
PIVOT(SUM(xCount)
FOR Week IN (' + #ColumnName + ')) AS PVTTable'
--Execute the Dynamic Pivot Query
EXEC sp_executesql #DynamicPivotQuery
I've achieved the same thing before by using subqueries. So if your original table was called StoreCountsByWeek, and you had a separate table that listed the Store IDs, then it would look like this:
SELECT StoreID,
Week1=(SELECT ISNULL(SUM(xCount),0) FROM StoreCountsByWeek WHERE StoreCountsByWeek.StoreID=Store.StoreID AND Week=1),
Week2=(SELECT ISNULL(SUM(xCount),0) FROM StoreCountsByWeek WHERE StoreCountsByWeek.StoreID=Store.StoreID AND Week=2),
Week3=(SELECT ISNULL(SUM(xCount),0) FROM StoreCountsByWeek WHERE StoreCountsByWeek.StoreID=Store.StoreID AND Week=3)
FROM Store
ORDER BY StoreID
One advantage to this method is that the syntax is more clear and it makes it easier to join to other tables to pull other fields into the results too.
My anecdotal results are that running this query over a couple of thousand rows completed in less than one second, and I actually had 7 subqueries. But as noted in the comments, it is more computationally expensive to do it this way, so be careful about using this method if you expect it to run on large amounts of data .
This is what you can do:
SELECT *
FROM yourTable
PIVOT (MAX(xCount)
FOR Week in ([1],[2],[3],[4],[5],[6],[7])) AS pvt
DEMO
I'm writing an sp that could be useful for this purpose, basically this sp pivot any table and return a new table pivoted or return just the set of data, this is the way to execute it:
Exec dbo.rs_pivot_table #schema=dbo,#table=table_name,#column=column_to_pivot,#agg='sum([column_to_agg]),avg([another_column_to_agg]),',
#sel_cols='column_to_select1,column_to_select2,column_to_select1',#new_table=returned_table_pivoted;
please note that in the parameter #agg the column names must be with '[' and the parameter must end with a comma ','
SP
Create Procedure [dbo].[rs_pivot_table]
#schema sysname=dbo,
#table sysname,
#column sysname,
#agg nvarchar(max),
#sel_cols varchar(max),
#new_table sysname,
#add_to_col_name sysname=null
As
--Exec dbo.rs_pivot_table dbo,##TEMPORAL1,tip_liq,'sum([val_liq]),sum([can_liq]),','cod_emp,cod_con,tip_liq',##TEMPORAL1PVT,'hola';
Begin
Declare #query varchar(max)='';
Declare #aggDet varchar(100);
Declare #opp_agg varchar(5);
Declare #col_agg varchar(100);
Declare #pivot_col sysname;
Declare #query_col_pvt varchar(max)='';
Declare #full_query_pivot varchar(max)='';
Declare #ind_tmpTbl int; --Indicador de tabla temporal 1=tabla temporal global 0=Tabla fisica
Create Table #pvt_column(
pivot_col varchar(100)
);
Declare #column_agg table(
opp_agg varchar(5),
col_agg varchar(100)
);
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(#table) AND type in (N'U'))
Set #ind_tmpTbl=0;
ELSE IF OBJECT_ID('tempdb..'+ltrim(rtrim(#table))) IS NOT NULL
Set #ind_tmpTbl=1;
IF EXISTS (SELECT * FROM sys.objects WHERE object_id = OBJECT_ID(#new_table) AND type in (N'U')) OR
OBJECT_ID('tempdb..'+ltrim(rtrim(#new_table))) IS NOT NULL
Begin
Set #query='DROP TABLE '+#new_table+'';
Exec (#query);
End;
Select #query='Select distinct '+#column+' From '+(case when #ind_tmpTbl=1 then 'tempdb.' else '' end)+#schema+'.'+#table+' where '+#column+' is not null;';
Print #query;
Insert into #pvt_column(pivot_col)
Exec (#query)
While charindex(',',#agg,1)>0
Begin
Select #aggDet=Substring(#agg,1,charindex(',',#agg,1)-1);
Insert Into #column_agg(opp_agg,col_agg)
Values(substring(#aggDet,1,charindex('(',#aggDet,1)-1),ltrim(rtrim(replace(substring(#aggDet,charindex('[',#aggDet,1),charindex(']',#aggDet,1)-4),')',''))));
Set #agg=Substring(#agg,charindex(',',#agg,1)+1,len(#agg))
End
Declare cur_agg cursor read_only forward_only local static for
Select
opp_agg,col_agg
from #column_agg;
Open cur_agg;
Fetch Next From cur_agg
Into #opp_agg,#col_agg;
While ##fetch_status=0
Begin
Declare cur_col cursor read_only forward_only local static for
Select
pivot_col
From #pvt_column;
Open cur_col;
Fetch Next From cur_col
Into #pivot_col;
While ##fetch_status=0
Begin
Select #query_col_pvt='isnull('+#opp_agg+'(case when '+#column+'='+quotename(#pivot_col,char(39))+' then '+#col_agg+
' else null end),0) as ['+lower(Replace(Replace(#opp_agg+'_'+convert(varchar(100),#pivot_col)+'_'+replace(replace(#col_agg,'[',''),']',''),' ',''),'&',''))+
(case when #add_to_col_name is null then space(0) else '_'+isnull(ltrim(rtrim(#add_to_col_name)),'') end)+']'
print #query_col_pvt
Select #full_query_pivot=#full_query_pivot+#query_col_pvt+', '
--print #full_query_pivot
Fetch Next From cur_col
Into #pivot_col;
End
Close cur_col;
Deallocate cur_col;
Fetch Next From cur_agg
Into #opp_agg,#col_agg;
End
Close cur_agg;
Deallocate cur_agg;
Select #full_query_pivot=substring(#full_query_pivot,1,len(#full_query_pivot)-1);
Select #query='Select '+#sel_cols+','+#full_query_pivot+' into '+#new_table+' From '+(case when #ind_tmpTbl=1 then 'tempdb.' else '' end)+
#schema+'.'+#table+' Group by '+#sel_cols+';';
print #query;
Exec (#query);
End;
GO
This is an example of execution:
Exec dbo.rs_pivot_table #schema=dbo,#table=##TEMPORAL1,#column=tip_liq,#agg='sum([val_liq]),avg([can_liq]),',#sel_cols='cod_emp,cod_con,tip_liq',#new_table=##TEMPORAL1PVT;
then Select * From ##TEMPORAL1PVT would return:
Here is a revision of #Tayrn answer above that might help you understand pivoting a little easier:
This may not be the best way to do this, but this is what helped me wrap my head around how to pivot tables.
ID = rows you want to pivot
MY_KEY = the column you are selecting from your original table that contains the column names you want to pivot.
VAL = the value you want returning under each column.
MAX(VAL) => Can be replaced with other aggregiate functions. SUM(VAL), MIN(VAL), ETC...
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT ',' + QUOTENAME(MY_KEY)
from yt
group by MY_KEY
order by MY_KEY ASC
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT ID,' + #cols + ' from
(
select ID, MY_KEY, VAL
from yt
) x
pivot
(
sum(VAL)
for MY_KEY in (' + #cols + ')
) p '
execute(#query);
select * from (select name, ID from Empoyee) Visits
pivot(sum(ID) for name
in ([Emp1],
[Emp2],
[Emp3]
) ) as pivottable;
Just give you some idea how other databases solve this problem. DolphinDB also has built-in support for pivoting and the sql looks much more intuitive and neat. It is as simple as specifying the key column (Store), pivoting column (Week), and the calculated metric (sum(xCount)).
//prepare a 10-million-row table
n=10000000
t=table(rand(100, n) + 1 as Store, rand(54, n) + 1 as Week, rand(100, n) + 1 as xCount)
//use pivot clause to generate a pivoted table pivot_t
pivot_t = select sum(xCount) from t pivot by Store, Week
DolphinDB is a columnar high performance database. The calculation in the demo costs as low as 546 ms on a dell xps laptop (i7 cpu). To get more details, please refer to online DolphinDB manual https://www.dolphindb.com/help/index.html?pivotby.html
Pivot is one of the SQL operator which is used to turn the unique data from one column into multiple column in the output. This is also mean by transforming the rows into columns (rotating table). Let us consider this table,
If I want to filter this data based on the types of product (Speaker, Glass, Headset) by each customer, then use Pivot operator.
Select CustmerName, Speaker, Glass, Headset
from TblCustomer
Pivot
(
Sum(Price) for Product in ([Speaker],[Glass],[Headset])
) as PivotTable
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"...
honestly, for several days, i am trying to learn about pivot table behavior. rightnow, i am able to display sum of row and column in pivot table. Here is the code that i am trying to set
DECLARE #cols AS NVARCHAR(MAX)
DECLARE #colswithNoNulls AS NVARCHAR(MAX)
DECLARE #query AS NVARCHAR(MAX)
DECLARE #tanggal_awal DATE
DECLARE #tanggal_akhir DATE
DECLARE #print NVARCHAR(MAX)
DECLARE #querycount AS NVARCHAR(MAX)
CREATE TABLE #datatable
(
product_id int,
product_date date,
product_ammount int
)
SET #tanggal_awal = convert(DATE,'02-01-2017')
SET #tanggal_akhir = convert(DATE,DATEADD(dd,-1,(DATEADD(mm,1,#tanggal_awal))))
--SELECT DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,GETDATE())+1,0))
INSERT INTO #datatable (product_id,product_date,product_ammount) VALUES
(1,GETDATE(),100),
(1,GETDATE(),900),
(2,DATEADD(DD,-1,GETDATE()),400),
(3,DATEADD(DD,4,GETDATE()),300),
(1,DATEADD(DD,4,GETDATE()),200),
(2,DATEADD(DD,2,GETDATE()),700),
(4,DATEADD(DD,-3,GETDATE()),1000),
(4,DATEADD(MM,1,GETDATE()),200),
(4,GETDATE(),750)
;WITH CTE (datelist,maxdate) AS
(
SELECT CONVERT(INT,(MIN(DATEPART(day,#tanggal_awal)))) datelist, CONVERT(INT,MAX(DATEPART(day,product_date))) maxdate
FROM #datatable
UNION ALL
SELECT CONVERT(INT,(DATEPART(day,datelist))), CONVERT(INT,(DATEPART(day,#tanggal_akhir)))
FROM cte
WHERE datelist < maxdate
) SELECT c.datelist
INTO #temp
FROM cte c
ORDER BY c.datelist
OPTION (maxrecursion 0)
SELECT #cols = STUFF((SELECT ',' + QUOTENAME(CONVERT(int, datelist))
FROM #temp
GROUP BY datelist
ORDER BY CONVERT(int, datelist)
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,''
)
SELECT #colswithNoNulls = STUFF((SELECT ',ISNULL(' + QUOTENAME(CONVERT(int, datelist)) +',''0'') '+ QUOTENAME(CONVERT(int, datelist))
FROM #temp
GROUP BY datelist
ORDER BY CONVERT(int, datelist)
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
SET #query =
'SELECT product_id, '+ #colswithNoNulls+', Total FROM
(
select
ISNULL((CAST(b.product_id as nvarchar(30))), ''Total'') product_id,
coalesce(b.product_ammount,0) as product_ammount,
DATEPART(dd,(convert(CHAR(10), product_date, 120))) PivotDate,
SUM(product_ammount) over (partition by b.product_id) as Total
FROM #datatable b
WHERE product_date between #tanggal_awal and #tanggal_akhir
GROUP BY product_ammount,product_date,product_id
WITH ROllup
) x
pivot
(
sum(product_ammount)
for PivotDate in (' +#cols+ ')
) p
ORDER BY CASE when (product_id = ''Total'') then 1 else 0 end, product_id'
EXECUTE sp_executesql #query ,N'#tanggal_awal DATE, #tanggal_akhir DATE', #tanggal_awal,#tanggal_akhir
IF(OBJECT_ID('tempdb.dbo.#temp','U') IS NOT NULL)
BEGIN
TRUNCATE TABLE #temp
TRUNCATE TABLE #datatable
DROP TABLE #temp
DROP TABLE #datatable
END
ELSE
BEGIN
SELECT '#temp is not created in this script' AS MESSAGE
END
as you can see , the result is show on the display. However, the total value at the very right bottom is strange since it is like doubled up exact total value like in this picture:
How to resolve this issue btw? since it was bit confusing for me. thank you for your help :)
Generally, I am not fully aware for RollUp functionality. From your PIVOT query. I have found some of the empty rows is coming up (basically subtotal rows from "With Rollup" option), so I have modified the Group by statement a little bit to achieve the expected result.
select
ISNULL((CAST(b.product_id as nvarchar(30))), 'Total') product_id,
coalesce(b.product_ammount,0) as product_ammount,
DATEPART(dd,(convert(CHAR(10), product_date, 120))) PivotDate,
SUM(product_ammount) over (partition by b.product_id) as Total
FROM #datatable b
WHERE product_date between #tanggal_awal and #tanggal_akhir
GROUP BY product_ammount,product_date,ROllup(product_id)
Kindly replace this query in PIVOT, then you will get the desired output.
Note: Sorry I am not fully aware of RollUp functionality, so I'm unable to give the right explanation.
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)
Sample data
srNO productname StartDate AStartdate pStartdate
1 new 11-11-2010 11-11-2010 11-11-2010
2 old 01-01-2011 11-11-2011 09-11-2010
3 medium 01-01-2012 01-01-2012 16-07-2012
4 out 01-08-2012 16-01-2012 16-07-2012
my query
ALTER PROCEDURE [dbo].[Status_yearly]
(#MID NVARCHAR(max))
AS
BEGIN
DECLARE #Years nvarchar(max)
SELECT #Years = Stuff((SELECT DISTINCT ',['
+ Cast(Year(u.StartDate) AS
NVARCHAR(4
))
+ ']'
FROM [products] u
FOR xml path('')), 1, 1, '')
DECLARE #date nvarchar(max)
SET #date =CONVERT(VARCHAR(10),GETDATE(),105)
-- SELECT #date
DECLARE #SQL nvarchar(max)
SELECT #SQL = '
select
*
from (
select
''Product'' AS Status,''total_product'' as [YEAR],
productname, year(u.StartDate) as [y]
from products u WHERE
MID ='''+#MID+'''
AND u.Flag <> 0
) Data
PIVOT (
COUNT(productname)
FOR [y]
IN (
' + #Years + '
)
) PivotTable
UNION ALL
select
*
from (
select ''Finished'' AS Finished,
''In Time'' as [YEAR],
Coalesce(COUNT(productsname),0) AS productsname, Coalesce(COUNT(year(u.StartDate)),0) as [y]
from products u WHERE u.AStartdate IS NOT NULL
AND u.AStartdate = u.pStartdate
AND MID ='''+#MID+'''
) Data
PIVOT (
COUNT(productsname)
FOR [y]
IN (
' + #Years + '
)
) PivotTable
'
EXECUTE (#SQL)
END
This gives me the result
Status Year 2012
Product total_product 4
FINISHED In Time 0
select ''Finished'' AS Finished,
''In Time'' as [YEAR],
Coalesce(COUNT(productsname),0) AS productname, Coalesce(COUNT(year(u.StartDate)),0) as [y]
from products u WHERE u.AStartdate IS NOT NULL
AND u.AStartdate = u.pStartdate
AND MID ='''+#MID+'''
This is giving me result like
Finished YEAR productname Y
FINISHED In Time 1 1
Individually it gives me count as 1 but when executed inside stored procedure it give me 0.
SO how do I implement this inside the procedure? Please note some time there may not be any result set in the 'finished' block that is why I am using
Coalesce(COUNT(productsname),0) AS productname, Coalesce(COUNT(year(u.StartDate)),0)
please suggest..
Database is SQL Server
Besides the fact that your sample data is missing the flag and mid column (i assume it is there in your table), the problem seems to be a wrong column name used.
COUNT(productsname) should be COUNT(productname) (removed the s).