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i've searched all over for an answer for this, and couldn't really find anything useful,
im pretty much a begginer in Sql so maybe i'm missing something basic
i have a simple table with 2 columns : line, fullname
this is the query i use :
SELECT
(select distributionline from extrasums where key=accounts.accountkey and SuFID='63') as 'line',
fullname
FROM
accounts
ORDER BY
(select distributionline from extrasums where key=accounts.accountkey and SuFID='63'),
(select dotinline from extrasums where key=accounts.accountkey and SuFID='68')
these are the results i get : (not allowed to embed images)
basically i get the distribution lines and the costumers, and the tables is ordered by the dist.lines and the place in line of each costumer.
all i want to do is show these results in a pivot-table style
i tried "pivot" but i understand you cant pivot without aggregate, because thats the whole point of "pivot" in sql.
this is what i want to achieve :
basically the dist.lines are the column names and the results are orders in a pivot way
the dist.lines are not permanent, one day we can have 3 lines. the other we can have 10 lines. its dynamic based on the deliveries for tomorrow. obviously.
same with the costumers.
you're welcome:
DROP TABLE IF EXISTS #temp;
SELECT RANK() OVER (PARTITION BY a.LINE ORDER BY a.fullname) AS rownum, a.line, a.fullname
INTO #temp
FROM ( SELECT 43 AS line, 'Daniel' AS fullname
UNION ALL
SELECT 43 AS line, 'john' AS fullname
UNION ALL
SELECT 43 AS line, 'kenny' AS fullname
UNION ALL
SELECT 43 AS line, 'adam' AS fullname
UNION ALL
SELECT 55 AS line, 'james' AS fullname
UNION ALL
SELECT 55 AS line, 'jones' AS fullname
UNION ALL
SELECT 68 AS line, 'kelly' AS fullname) AS a;
DECLARE #cols AS NVARCHAR(MAX), #colname AS NVARCHAR(MAX), #query AS NVARCHAR(MAX);
SET #colname = STUFF(( SELECT DISTINCT ',' + QUOTENAME(c.line)
FROM #temp AS c
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)')
, 1
, 1
, '');
SET #cols = STUFF(( SELECT DISTINCT ',ISNULL(' + QUOTENAME(c.line) + ','''') AS '+QUOTENAME(c.line )
FROM #temp AS c
FOR XML PATH(''), TYPE).value('.', 'NVARCHAR(MAX)')
, 1
, 1
, '');
PRINT #cols
PRINT #colname
SET #query =
N'SELECT rownum, ' + #cols
+ N' from
(
select rownum
, fullname
, line
from #temp
) x
pivot
(
max(fullname)
for line in (' + #colname + N')
) p ';
PRINT #query
EXECUTE (#query);
enter image description here
Scenario
Company XYZ sells products. Company measures their performance by checking how long does it take to complete the entire order. Each order goes through multiple status (Example : Open, Pending, Close)
They count days for each status to know how many days an order was on a particular status. the days are calculated in two different ways, Working Days and Calendar Days
Please refer to the below table:
Question
How to turn this table into a pivot table shown in below picture? also how to add to additional columns which is total of each Working and business day status.
Desired Result:
You can do this:
SELECT *
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount
FROM CalendarTable
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = 'Working' THEN 'TotalWorking' ELSE 'TotalCalendar' END,
DayCount
FROM CalendarTable
) AS t
PIVOT
(
MAX(DayCount)
For StatusType IN(OpenWorking,
OpenCalendar,
CloseWorking,
CloseCalendar,
PendingWorking,
PendingCalendar,
TotalWorking,
TotalCalendar)
) AS p;
This will give you:
If you don't want to write down all the statuses manually, then you can do ti dynamically:
DECLARE #cols AS NVARCHAR(MAX);
DECLARE #query AS NVARCHAR(MAX);
SELECT #cols = STUFF((SELECT distinct ',' +
QUOTENAME(StatusType)
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount
FROM CalendarTable
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = 'Working' THEN 'TotalWorking' ELSE 'TotalCalendar' END,
DayCount
FROM CalendarTable
) AS t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT #query = 'SELECT *
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount
FROM CalendarTable
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = ''Working'' THEN ''TotalWorking'' ELSE ''TotalCalendar'' END,
DayCount
FROM CalendarTable
) AS t
PIVOT
(
MAX(DayCount)
For StatusType IN(' + #cols + ')' +
') p';
execute(#query);
Update:
For column names you can create a new variable #colnames and populate it with the names you want. For the Totals, you can add a WHERE clause to get the total for statuses active and pending only. So your query will be like this:
DECLARE #cols AS NVARCHAR(MAX);
DECLARE #colnames AS NVARCHAR(MAX);
DECLARE #query AS NVARCHAR(MAX);
SELECT #cols = STUFF((SELECT distinct ',' +
QUOTENAME(StatusType)
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount
FROM CalendarTable
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = 'Working' THEN 'TotalWorking' ELSE 'TotalCalendar' END,
DayCount
FROM CalendarTable
WHERE OrderStatus IN('Active', 'Pending')
) AS t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT #colnames = STUFF((SELECT distinct ',' +
QUOTENAME(StatusType) + ' AS ' + QUOTENAME(StatusTypeName)
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount,
OrderStatus + CASE WHEN CountType = 'Working' THEN 'WorkDays' ELSE 'CalDays' END AS StatusTypeName
FROM CalendarTable
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = 'Working' THEN 'TotalWorking' ELSE 'TotalCalendar' END,
DayCount,
CASE WHEN CountType = 'Working' THEN 'TotalWorking' ELSE 'TotalCalendar' END
FROM CalendarTable
WHERE OrderStatus IN('Active', 'Pending')
) AS t
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
, 1, 1, '');
SELECT #query = 'SELECT OrderID , ' + #colnames + '
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount
FROM CalendarTable
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = ''Working'' THEN ''TotalWorking'' ELSE ''TotalCalendar'' END,
DayCount
FROM CalendarTable
WHERE OrderStatus IN(''Active'', ''Pending'')
) AS t
PIVOT
(
SUM(DayCount)
For StatusType IN(' + #cols + ')' +
') p';
execute(#query);
This will give you:
Update
If you want to add a where clause to the manual pivot query, you can do this:
SELECT *
FROM
(
SELECT
OrderID,
OrderStatus + CountType AS StatusType,
DayCount
FROM CalendarTable
WHERE ...
UNION ALL
SELECT
OrderID,
CASE WHEN CountType = 'Working' THEN 'TotalWorking' ELSE 'TotalCalendar' END,
DayCount
FROM CalendarTable
WHERE ...
) AS t
PIVOT
(
MAX(DayCount)
For StatusType IN(OpenWorking,
OpenCalendar,
CloseWorking,
CloseCalendar,
PendingWorking,
PendingCalendar,
TotalWorking,
TotalCalendar)
) AS p;
I have a functioning pivot query for static column values which i want to convert for dynamic column values.
The query is :
with a as (
select request_id, dateadd(month,datediff(month,0,logged_datetime),0) as 'Month'
,dateadd(month,datediff(month,0,logged_datetime),0) as 'Year'
from requests
)
select * from (
select datepart(m,a.Month) as 'months',datepart(YEAR,a.Year) as 'years',a.request_id
from a ) ps
pivot (
count(request_id) for [years] in ([2008],[2009],[2010],[2011],[2012],[2013],[2014],[2015])
) as pvt
order by months
For the dynamic query written below I am getting errors like
Msg 207, Level 16, State 1, Line 5 Invalid column name '2010'. :
select distinct datepart(year,dateadd(month,datediff(month,0,logged_datetime),0)) as 'Yearz'
into #t
FROM requests
DECLARE #Dynamic AS NVARCHAR(MAX)
DECLARE #ColumnName AS NVARCHAR(MAX)
SELECT #ColumnName= ISNULL(#ColumnName + ',','')
+ QUOTENAME(Yearz)
FROM (SELECT * from #t) AS Yea
SET #Dynamic =
N'
select * from (
select datepart(m,dateadd(month,datediff(month,0,logged_datetime),0)) as months,' + #ColumnName + ',request_id
from requests ) ps
pivot (
count(request_id) for [Years] in (' + #ColumnName + ')
) as pvt
order by months
'
EXEC sp_executesql #Dynamic
SAMPLE TABLE
SELECT * INTO #REQUESTS
FROM
(
SELECT 1 request_id, '2012-06-01' logged_datetime
UNION ALL
SELECT 2 request_id, '2012-05-01'
UNION ALL
SELECT 11 request_id, '2012-06-01'
UNION ALL
SELECT 12 request_id, '2012-05-01'
UNION ALL
SELECT 3 request_id, '2012-07-01'
UNION ALL
SELECT 4 request_id, '2013-09-01'
UNION ALL
SELECT 5 request_id, '2013-10-01'
UNION ALL
SELECT 6 request_id, '2014-01-01'
UNION ALL
SELECT 7 request_id, '2014-02-01'
UNION ALL
SELECT 8 request_id, '2014-03-01'
UNION ALL
SELECT 9 request_id, '2014-05-01'
UNION ALL
SELECT 10 request_id, '2015-11-01'
)TAB
QUERY
Get the column for years and order it in numeric order
DECLARE #cols NVARCHAR (MAX)
SELECT #cols = COALESCE (#cols + ',[' + CAST([YEAR] AS VARCHAR(4)) + ']', '[' + CAST([YEAR] AS VARCHAR(4)) + ']')
FROM (SELECT DISTINCT YEAR(dateadd(month,datediff(month,0,logged_datetime),0)) [YEAR] FROM #REQUESTS) PV
ORDER BY CAST([YEAR] AS INT)
Now pivot the query
DECLARE #query NVARCHAR(MAX)
SET #query = 'SELECT * FROM
(
-- We will get the count for a year and number of request_id in that month here as CNT column
select DISTINCT datepart(m,a.Month) as ''months'',datepart(YEAR,a.Year) as ''years'',
COUNT(*) OVER(PARTITION BY datepart(YEAR,a.Year),datepart(m,a.Month)) CNT
from
(
select request_id, dateadd(month,datediff(month,0,logged_datetime),0) as ''Month''
,dateadd(month,datediff(month,0,logged_datetime),0) as ''Year''
from #requests
)a
) x
PIVOT
(
MIN(CNT)
FOR years IN (' + #cols + ')
) p
ORDER BY MONTHS;'
EXEC SP_EXECUTESQL #query
Click here to view the result
I think you need to wrap your dynamic column names using the QUOTENAME function:
See example here:
Currently building a SELECT statement in SQL Server 2008 but would like to make this SELECT statement dynamic, so the columns can be defined based on values in a table. I heard about pivot table and cursors, but seems kind of hard to understand at my current level, here is the code;
DECLARE #date DATE = null
IF #date is null
set # date = GETDATE() as DATE
SELECT
Name,
value1,
value2,
value3,
value4
FROM ref_Table a
FULL OUTER JOIN (
SELECT
PK_ID ID,
sum(case when FK_ContainerType_ID = 1 then 1 else null) Box,
sum(case when FK_ContainerType_ID = 2 then 1 else null) Pallet,
sum(case when FK_ContainerType_ID = 3 then 1 else null) Bag,
sum(case when FK_ContainerType_ID = 4 then 1 else null) Drum
from
Packages
WHERE
#date between PackageStart AND PackageEnd
group by PK_ID ) b on a.Name = b.ID
where
Group = 0
The following works great for me , but PK_Type_ID and the name of the column(PackageNameX,..) are hard coded, I need to be dynamic and it can build itself based on present or futures values in the Package table.
Any help or guidance on the right direction would be greatly appreciated...,
As requested
ref_Table (PK_ID, Name)
1, John
2, Mary
3, Albert
4, Jane
Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
1 , 1, 4, 1JAN2014, 30JAN2014
2 , 2, 3, 1JAN2014, 30JAN2014
3 , 3, 2, 1JAN2014, 30JAN2014
4 , 4, 1, 1JAN2014, 30JAN2014
ContainerType (PK_ID, Type)
1, Box
2, Pallet
3, Bag
4, Drum
and the result should look like this;
Name Box Pallet Bag Drum
---------------------------------------
John 1
Mary 1
Albert 1
Jane 1
The following code like I said works great, the issue is the Container table is going to grow and I need to replicated the same report without hard coding the columns.
What you need to build is called a dynamic pivot. There are plenty of good references on Stack if you search out that term.
Here is a solution to your scenario:
IF OBJECT_ID('tempdb..##ref_Table') IS NOT NULL
DROP TABLE ##ref_Table
IF OBJECT_ID('tempdb..##Packages') IS NOT NULL
DROP TABLE ##Packages
IF OBJECT_ID('tempdb..##ContainerType') IS NOT NULL
DROP TABLE ##ContainerType
SET NOCOUNT ON
CREATE TABLE ##ref_Table (PK_ID INT, NAME NVARCHAR(50))
CREATE TABLE ##Packages (PK_ID INT, FK_ref_Table_ID INT, FK_ContainerType_ID INT, PackageStartDate DATE, PackageEndDate DATE)
CREATE TABLE ##ContainerType (PK_ID INT, [Type] NVARCHAR(50))
INSERT INTO ##ref_Table (PK_ID,NAME)
SELECT 1,'John' UNION
SELECT 2,'Mary' UNION
SELECT 3,'Albert' UNION
SELECT 4,'Jane'
INSERT INTO ##Packages (PK_ID, FK_ref_Table_ID, FK_ContainerType_ID, PackageStartDate, PackageEndDate)
SELECT 1,1,4,'2014-01-01','2014-01-30' UNION
SELECT 2,2,3,'2014-01-01','2014-01-30' UNION
SELECT 3,3,2,'2014-01-01','2014-01-30' UNION
SELECT 4,4,1,'2014-01-01','2014-01-30'
INSERT INTO ##ContainerType (PK_ID, [Type])
SELECT 1,'Box' UNION
SELECT 2,'Pallet' UNION
SELECT 3,'Bag' UNION
SELECT 4,'Drum'
DECLARE #DATE DATE, #PARAMDEF NVARCHAR(MAX), #COLS NVARCHAR(MAX), #SQL NVARCHAR(MAX)
SET #DATE = '2014-01-15'
SET #COLS = STUFF((SELECT DISTINCT ',' + QUOTENAME(T.[Type])
FROM ##ContainerType T
FOR XML PATH, TYPE).value('.', 'NVARCHAR(MAX)'),1,1,'')
SET #SQL = 'SELECT [Name], ' + #COLS + '
FROM (SELECT [Name], [Type], 1 AS Value
FROM ##ref_Table R
JOIN ##Packages P ON R.PK_ID = P.FK_ref_Table_ID
JOIN ##ContainerType T ON P.FK_ContainerType_ID = T.PK_ID
WHERE #DATE BETWEEN P.PackageStartDate AND P.PackageEndDate) X
PIVOT (COUNT(Value) FOR [Type] IN (' + #COLS + ')) P
'
PRINT #COLS
PRINT #SQL
SET #PARAMDEF = '#DATE DATE'
EXEC SP_EXECUTESQL #SQL, #PARAMDEF, #DATE=#DATE
Output:
Name Bag Box Drum Pallet
Albert 0 0 0 1
Jane 0 1 0 0
John 0 0 1 0
Mary 1 0 0 0
Static Query:
SELECT [Name],[Box],[Pallet],[Bag],[Drum] FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( [Box],[Pallet],[Bag],[Drum])
) AS PivotTable
) AS Main
ORDER BY RFID
Dynamic Query:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + [Type] + ']'
FROM ContanerType
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT [Name],' + #columnList + ' FROM
(
SELECT *
FROM
(
SELECT rf.Name,cnt.[Type], pk.PK_ID AS PKID, rf.PK_ID AS RFID
FROM ref_Table rf INNER JOIN Packages pk ON rf.PK_ID = pk.FK_ref_Table_ID
INNER JOIN ContanerType cnt ON cnt.PK_ID = pk.FK_ContainerType_ID
) AS SourceTable
PIVOT
(
COUNT(PKID )
FOR [Type]
IN ( ' + #columnList + ')
) AS PivotTable
) AS Main
ORDER BY RFID;'
EXEC sp_executesql #pivotsql
Following my tutorial below will help you to understand the PIVOT functionality:
We write sql queries in order to get different result sets like full, partial, calculated, grouped, sorted etc from the database tables. However sometimes we have requirements that we have to rotate our tables. Sounds confusing?
Let's keep it simple and consider the following two screen grabs.
SQL Table:
Expected Results:
Wow, that's look like a lot of work! That is a combination of tricky sql, temporary tables, loops, aggregation......, blah blah blah
Don't worry let's keep it simple, stupid(KISS).
MS SQL Server 2005 and above has a function called PIVOT. It s very simple to use and powerful. With the help of this function we will be able to rotate sql tables and result sets.
Simple steps to make it happen:
Identify all the columns those will be part of the desired result set.
Find the column on which we will apply aggregation(sum,ave,max,min etc)
Identify the column which values will be the column header.
Specify the column values mentioned in step3 with comma separated and surrounded by square brackets.
So, if we now follow above four steps and extract information from the above sales table, it will be as below:
Year, Month, SalesAmount
SalesAmount
Month
[Jan],[Feb] ,[Mar] .... etc
We are nearly there if all the above steps made sense to you so far.
Now we have all the information we need. All we have to do now is to fill the below template with required information.
Template:
Our SQL query should look like below:
SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( [Jan],[Feb] ,[Mar],
[Apr],[May],[Jun] ,[Jul],
[Aug],[Sep] ,[Oct],[Nov] ,[Dec])
) AS PivotTable;
In the above query we have hard coded the column names. Well it's not fun when you have to specify a number of columns.
However, there is a work arround as follows:
DECLARE #columnList nvarchar (MAX)
DECLARE #pivotsql nvarchar (MAX)
SELECT #columnList = STUFF(
(
SELECT ',' + '[' + SalesMonth + ']'
FROM Sales
GROUP BY SalesMonth
FOR XML PATH( '')
)
,1, 1,'' )
SET #pivotsql =
N'SELECT *
FROM
(
SELECT SalesYear, SalesMonth,Amount
FROM Sales
) AS SourceTable
PIVOT
(
SUM(Amount )
FOR SalesMonth
IN ( ' + #columnList +' )
) AS PivotTable;'
EXEC sp_executesql #pivotsql
Hopefully this tutorial will be a help to someone somewhere.
Enjoy coding.
This is probably simple but I"m just not seeing it. Your help is appreciated. I have a table in MS SQLServer that looks like this
CustomerID Time ItemID
1 2008-10-07 06:32:53:00.000 87432
1 2008-10-07 06:32:53:00.000 26413
2 2010-06-23 03:45:10:00.000 6312
2 2011-09-14 07:36:03:00.000 87432
2 2011-09-14 07:36:03:00.000 87432
I want to end up with a table that has each customer, the timestamp and the count of the items purchased during that timestamp, that looks like this
CustomerID Time 87432 26413 6312
1 2008-10-07 06:32:53:00.000 1 1 0
2 2010-06-23 03:45:10:00.000 0 0 1
2 2011-09-14 07:36:03:00.000 2 0 0
In the source table, the time and itemID are variable (and plentiful), so I'm thinking a dynamic pivot will do the trick. Is this possible to do with pivot? If so, how?
You can do this with a dynamic PIVOT. This will count the number of ItemIds that you have for any number of Times.
See a SQL Fiddle with a Demo. This demo leaves the time as a varchar as you stated they were. But this will work if the data is a datetime as well.
Since you want time in the final result, then when you select the columns, you will need to add the time column twice. I called it time1 and time. This allows you to aggregate on time1 in the PIVOT and still have a time column for your final product.
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX)
select #cols = STUFF((SELECT distinct ',' + QUOTENAME(itemid)
from temp
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set #query = 'SELECT customerid, [time], ' + #cols + ' from
(
select customerid, [time] as time1, [time] as [time], itemid
from temp
) x
pivot
(
count([time1])
for itemid in (' + #cols + ')
) p '
execute(#query)
Approach #1 - Click here to see Demo
Declare #ItemIDs varchar(1000) = ''
Declare #Query varchar(8000) = ''
Select #ItemIDs = ISNULL(QuoteName(Convert(varchar, ItemID)) + ',', '')
+ #ItemIDs
From
(
Select distinct ItemID From #MyTable
)K
SET #ItemIDs = SUBSTRING(#ItemIDs,0,len(#ItemIDs))
SET #Query = 'Select CustomerID, [Time],' +
#ItemIDs + ' From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN (' + #ItemIDs + ')
) AS pvt'
EXEC(#Query)
Approach #2 - Click here to see Demo
Select CustomerID, [Time], [87432] as [87432],
[26413] as [26413], [6312] as [6312] From
(
Select CustomerID, [Time], ItemID from #MyTable
)K Pivot
(
count(ItemID) FOR ItemID IN ([87432] , [26413],[6312])
) AS pvt