ANY CHART dynamic Draw HeadMaps - anychart

What I need is the following:
I have the data as it appears in the question, my problem is, I need to generate 4 (headmaps), as it appears in the example, the problem is that in my example appear those 4 (headmaps), one on top of the other, ie appear Repeated. What I need is to generate 4 or more maps, but not to be repeated ..
My problem is, I need to generate 4 maps, in this example I generate 4 maps, but one on top of the other (superposition), I want them to be 4 maps but correctly, check the example
My code
anychart.onDocumentReady(function() {
var data = anychart.data.set([
['Preventivo' ,'Monitoreado' ,22 ,"#298A08"],
['Preventivo' ,'Estandarizado' ,16 ,"#298A08"],
['Preventivo' ,'Informal' ,10 ,"#04B431"],
['Preventivo' ,'Nulo' ,4 ,"#FF8000"],
['Correctivo' ,'Monitoreado' ,14 ,"#04B431"],
['Correctivo' ,'Estandarizado' ,10 ,"#04B431"],
['Correctivo' ,'Informal' ,6 ,"#FF8000"],
['Correctivo' ,'Nulo' ,2 ,"#FFFF00"],
['Detectivo' ,'Monitoreado' ,6 ,"#FF8000"],
['Detectivo' ,'Estandarizado' ,4 ,"#FF8000"],
['Detectivo' ,'Informal' ,2 ,"#FFFF00"],
['Detectivo' ,'Nulo' ,0 ,"#FF0000"],
['Inexistente' ,'Monitoreado' ,-2 ,"#FF0000"],
['Inexistente' ,'Estandarizado' ,-2 ,"#FF0000"],
['Inexistente' ,'Informal' ,-2 ,"#FF0000"],
['Inexistente', 'Nulo' ,-2 ,"#FF0000"],
['Preventivo' ,'Monitoreado' ,21 ,"#298A08"],
['Preventivo' ,'Estandarizado' ,15 ,"#04B431"],
['Preventivo' ,'Informal' ,9 ,"#FF8000"],
['Preventivo' ,'Nulo' ,3 ,"#FFFF00"],
['Correctivo' ,'Monitoreado' ,13 ,"#04B431"],
['Correctivo' ,'Estandarizado' ,9 ,"#FF8000"],
['Correctivo' ,'Informal' ,5 ,"#FF8000"],
['Correctivo' ,'Nulo' ,1 ,"#FF0000"],
['Detectivo' ,'Monitoreado' ,5 ,"#FF8000"],
['Detectivo' ,'Estandarizado' ,3 ,"#FFFF00"],
['Detectivo' ,'Informal' ,1 ,"#FF0000"],
['Detectivo' ,'Nulo' ,-1 ,"#FF0000"],
['Inexistente' ,'Monitoreado' ,-3 ,"#FF0000"],
['Inexistente' ,'Estandarizado' ,-3 ,"#FF0000"],
['Inexistente' ,'Informal' ,-3 ,"#FF0000"],
['Inexistente' ,'Nulo' ,-3 ,"#FF0000"],
['Preventivo' ,'Monitoreado' ,23 ,"#298A08"],
['Preventivo' ,'Estandarizado' ,17 ,"#298A08"],
['Preventivo' ,'Informal' ,11 ,"#04B431"],
['Preventivo' ,'Nulo' ,5 ,"#FF8000"],
['Correctivo' ,'Monitoreado' ,15 ,"#04B431"],
['Correctivo' ,'Estandarizado' ,11 ,"#04B431"],
['Correctivo' ,'Informal' ,7 ,"#FF8000"],
['Correctivo' ,'Nulo' ,3 ,"#FFFF00"],
['Detectivo' ,'Monitoreado' ,7 ,"#FF8000"],
['Detectivo' ,'Estandarizado' ,5 ,"#FF8000"],
['Detectivo' ,'Informal' ,3 ,"#FFFF00"],
['Detectivo' ,'Nulo' ,1 ,"#FF0000"],
['Inexistente' ,'Monitoreado' ,-1 ,"#FF0000"],
['Inexistente' ,'Estandarizado' ,-1 ,"#FF0000"],
['Inexistente' ,'Informal' ,-1 ,"#FF0000"],
['Inexistente' ,'Nulo' ,-1 ,"#FF0000"],
['Preventivo' ,'Monitoreado' ,20 ,"#298A08"],
['Preventivo' ,'Estandarizado' ,14 ,"#04B431"],
['Preventivo' ,'Informal' ,8 ,"#FF8000"],
['Preventivo' ,'Nulo' ,2 ,"#FFFF00"],
['Correctivo' ,'Monitoreado' ,12 ,"#04B431"],
['Correctivo' ,'Estandarizado' ,8 ,"#FF8000"],
['Correctivo' ,'Informal' ,4 ,"#FF8000"],
['Correctivo' ,'Nulo' ,0 ,"#FF0000"],
['Detectivo' ,'Monitoreado' ,4 ,"#FF8000"],
['Detectivo' ,'Estandarizado' ,2 ,"#FFFF00"],
['Detectivo' ,'Informal' ,0 ,"#FF0000"],
['Detectivo' ,'Nulo' ,-2 ,"#FF0000"],
['Inexistente' ,'Monitoreado' ,-4 ,"#FF0000"],
['Inexistente' ,'Estandarizado' ,-4 ,"#FF0000"],
['Inexistente' ,'Informal' ,-4 ,"#FF0000"],
['Inexistente' ,'Nulo' ,-4 ,"#FF0000"]
]);
stage = anychart.graphics.create("container");
var count = 2;
for (i=0; i<2; i++){
for (j=0; j<2; j++){
var dataSet = data.mapAs({x: [1],y: [0], heat: [2], fill: [3]});
count++;
var chart = anychart.heatMap(dataSet);
chart.container(stage);
chart.bounds(50*i + '%', 50*j + '%', "50%", "50%");
chart.draw();
}};
});
This link is the complete example.
Example


Diego, all you need - is to get the appropriate part of data for each chart. If you'll apply the data() method, you'll get the array, so you can easily get the data, e.g. with the slice() method:
data.data().slice(16*count, 16*(count+1));
This simple example illustrates the idea: http://jsfiddle.net/g4ex62h0/4/

Related

How to find average from pivot table in SQL Server?

I am trying to capture transactions per hour between given ranges. And i need to identify the last one week of average transactions.
here i am facing some issue.
Below is my trail:
[Table Structure]
[Current Result]
[Query]
SELECT *
FROM (SELECT
CONVERT(DATE, TimeStamp) AS [Date],
DATEPART(hour,TimeStamp) AS [Hour],
sum(CASE WHEN Result = 'F' THEN 1 ELSE 0 END) AS FAIL
FROM TableName
where TimeStamp between '2018-05-12 00:00:00' and '2018-05-24 23:00:00'
GROUP BY CONVERT(DATE,TimeStamp), DATEPART(hour,TimeStamp)) AS HourlyData
PIVOT( SUM(FAILS) FOR [Hour] IN ( [8], [9], [10],[11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23])
) AS DatePivot
-- avg([Hour] ) over(partition by DATEPART(hour,TimeStamp)) Avg_Item
[Table strcture,Current result and expected result][1]
Anybody please correct me how to find average? Tried with Over clause but not sure which column I need to add in the script.
[1]: https://i.stack.imgur.com/DeQYY.jpg

Below code should give you the expected result.
; WITH CTE AS
(
SELECT *
FROM (SELECT
CONVERT(DATE, TimeStamp) AS [Date],
DATEPART(hour,TimeStamp) AS [Hour],
sum(CASE WHEN Result = 'F' THEN 1.0 ELSE 0.0 END) AS FAIL
FROM #tmp
where TimeStamp between '2017-01-10 00:00:00' and '2018-05-24 23:00:00'
GROUP BY CONVERT(DATE,TimeStamp), DATEPART(hour,TimeStamp)) AS HourlyData
PIVOT( SUM(FAIL) FOR [Hour] IN ( [8], [9], [10],[11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23])
) AS DatePivot
)
SELECT *
FROM (SELECT
CONVERT(VARCHAR(11), TimeStamp) AS [Date],
DATEPART(hour,TimeStamp) AS [Hour],
sum(CASE WHEN Result = 'F' THEN 1.0 ELSE 0.0 END) AS FAIL
FROM #tmp
where TimeStamp between '2017-01-10 00:00:00' and '2018-05-24 23:00:00'
GROUP BY CONVERT(VARCHAR(11),TimeStamp), DATEPART(hour,TimeStamp)) AS HourlyData
PIVOT( SUM(FAIL) FOR [Hour] IN ( [8], [9], [10],[11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23])
) AS DatePivot
UNION ALL
SELECT 'AVERAGE',AVG([8]),AVG([9]),AVG([10]),AVG([11]),AVG([12]),AVG([13]),AVG([14]),AVG([15]),AVG([16]),AVG([17]),AVG([18]),AVG([19]),
AVG([20]),AVG([21]),AVG([22]),AVG([23])
FROM CTE

sql server data resampling by specific frequency

I have a dataset of stock price history, I want to organize to a specific frequency.
For example, the original dataset like as follow,
WITH CTE(ID ,[Datetime],[Open], [High], [Low], [Close]) AS (
select 'A','2015/11/30 23:51:00',11.0, 11.2, 11.0, 11.0 union all
select 'A','2015/11/30 23:53:00',11.0, 11.2, 10.8, 10.8 union all
select 'A','2015/11/30 23:54:00',10.8, 10.8, 10.4, 10.4 union all
select 'A','2015/11/30 23:55:00',10.4, 10.7, 10.4, 10.6 union all
select 'A','2015/11/30 23:57:00',10.7, 11.0, 10.7, 11.0 union all
select 'A','2015/11/30 23:58:00',11.0, 11.2, 10.8, 11.1 union all
select 'A','2015/11/30 23:59:00',11.1, 11.3, 11.0, 11.1 union ALL
select 'A','2015/12/01 00:00:00',11.1, 11.4, 11.1, 11.3
)
SELECT * FROM CTE
which is a non-completely continuous time-series of OHLC in minutes.
I want to create a SQL-SERVER procedure to resample the dataset at a specific frequency, like 3 mins as follow,
WITH CTE(ID ,[Datetime],[Open], [High], [Low], [Close]) AS (
select 'A','2015/11/30 23:51:00',11.0, 11.2, 10.8, 10.8 union all
select 'A','2015/11/30 23:54:00',10.8, 10.8, 10.4, 10.6 union all
select 'A','2015/11/30 23:57:00',10.7, 11.3, 10.7, 11.1 union all
select 'A','2015/12/01 00:00:00',11.1, 11.4, 11.1, 11.3
)
SELECT * FROM CTE
I don't have a good logic with great performance, any idea or reference is great!
I appreciate!
This is what I tried, bad logic, bad performance.
WITH CTE(ID ,[Datetime],[Open], [High], [Low], [Close]) AS (
select 'A','2015/11/30 23:51:00',11.0, 11.2, 11.0, 11.0 union all
select 'A','2015/11/30 23:53:00',11.0, 11.2, 10.8, 10.8 union all
select 'A','2015/11/30 23:54:00',10.8, 10.8, 10.4, 10.4 union all
select 'A','2015/11/30 23:55:00',10.4, 10.7, 10.4, 10.6 union all
select 'A','2015/11/30 23:57:00',10.7, 11.0, 10.7, 11.0 union all
select 'A','2015/11/30 23:58:00',11.0, 11.2, 10.8, 11.1 union all
select 'A','2015/11/30 23:59:00',11.1, 11.3, 11.0, 11.1 union ALL
select 'A','2015/12/01 00:00:00',11.1, 11.4, 11.1, 11.3
)
select
*
from(
select
*
, ROW_NUMBER() over (partition by ID, Datediff_group order by [Datetime]) as RowN
from(
select
ID, [Datetime], Datediff_group
, FIRST_VALUE([Open]) over (Partition by ID, Datediff_group order by [Datetime]) as [Open_grouped]
, MAX([High]) over (Partition by ID, Datediff_group) as [High_grouped]
, MIN([Low]) over (Partition by ID, Datediff_group) as [Low_grouped]
, FIRST_VALUE([Close]) over (Partition by ID, Datediff_group order by [Datetime] DESC) as [Close_grouped]
from(
select
*
, Datediff_MIN /3 as Datediff_group
from(
select
*
, DATEDIFF(minute, FIRST_VALUE([Datetime]) over (partition by ID order by [Datetime]), [Datetime]) as Datediff_MIN
from CTE
) as AAA
) as AA
) as A
) as B
where RowN = 1

You could use a recursive CTE to get the data out. Not sure how this would perform with a larger data set, and you would need to set the maximum recursion if there were many more rows.
WITH CTE(ID ,[time],[Open], [High], [Low], [Close]) AS (
select 'A','2015/11/30 23:51:00',11.0, 11.2, 11.0, 11.0 union all
select 'A','2015/11/30 23:53:00',11.0, 11.2, 10.8, 10.8 union all
select 'A','2015/11/30 23:54:00',10.8, 10.8, 10.4, 10.4 union all
select 'A','2015/11/30 23:55:00',10.4, 10.7, 10.4, 10.6 union all
select 'A','2015/11/30 23:57:00',10.7, 11.0, 10.7, 11.0 union all
select 'A','2015/11/30 23:58:00',11.0, 11.2, 10.8, 11.1 union all
select 'A','2015/11/30 23:59:00',11.1, 11.3, 11.0, 11.1 union ALL
select 'A','2015/12/01 00:00:00',11.1, 11.4, 11.1, 11.3),
ANCHOR AS (
SELECT MIN([time]) AS [time] FROM CTE),
RECURSION AS (
SELECT
c.*
FROM
CTE c
INNER JOIN ANCHOR a ON a.[time] =c.[time]
UNION ALL
SELECT
c.*
FROM
CTE c
INNER JOIN RECURSION r ON DATEDIFF(MINUTE, r.[time], c.[time]) = 3)
SELECT
*
FROM
RECURSION;

This would be a lot easier if your data had a primary key (data should always have a primary key!). Then you could use 1 query to identify the first (open) and last (close) key for every row, then it's a simple query to aggregate it all to 3 minute intervals.
WITH CTE(PK, ID ,[Datetime],[Open], [High], [Low], [Close]) AS (
select 1, 'A','2015/11/30 23:51:00',11.0, 11.2, 11.0, 11.0 union all
select 2, 'A','2015/11/30 23:53:00',11.0, 11.2, 10.8, 10.8 union all
select 3, 'A','2015/11/30 23:54:00',10.8, 10.8, 10.4, 10.4 union all
select 4, 'A','2015/11/30 23:55:00',10.4, 10.7, 10.4, 10.6 union all
select 5, 'A','2015/11/30 23:57:00',10.7, 11.0, 10.7, 11.0 union all
select 6, 'A','2015/11/30 23:58:00',11.0, 11.2, 10.8, 11.1 union all
select 7, 'A','2015/11/30 23:59:00',11.1, 11.3, 11.0, 11.1 union ALL
select 8, 'A','2015/12/01 00:00:00',11.1, 11.4, 11.1, 11.3
)
,CTE2 AS (
SELECT
CTE.*,
DATEDIFF(MINUTE, '2015/11/30 23:51:00', [Datetime]) / 3 AS [Sequence] -- Note the integer division,
MIN(PK) OVER (PARTITION BY DATEDIFF(MINUTE, '2015/11/30 23:51:00', [Datetime]) / 3) AS OpenPK,
MAX(PK) OVER (PARTITION BY DATEDIFF(MINUTE, '2015/11/30 23:51:00', [Datetime]) / 3) AS ClosePK
FROM
CTE
)
SELECT
CTE2.ID,
DATEADD(minute, CTE2.[Sequence] * 3, '2015/11/30 23:51:00') as [Datetime],
cteOpen.[Open],
MAX(CTE2.[High]) AS [High],
MIN(CTE2.[Low]) AS [Low],
cteClose.[Close]
FROM
CTE2
INNER JOIN CTE cteOpen ON cteOpen.PK = CTE2.OpenPK
INNER JOIN CTE cteClose ON cteClose.PK = CTE2.ClosePK
GROUP BY
CTE2.ID,
CTE2.[Sequence],
cteOpen.[Open],
cteClose.[Close]
ORDER BY
CTE2.[Sequence]
If your data includes more than one stock then you'll have to add ID into grouping/partitioning but this should be enough to get you started.

SQL Query with multiple PIVOT

I have 3 tables as Register, Revision, Issue. table structure and some datas are as follows,
CREATE TABLE [dbo].[Issue](
[ID] [int] IDENTITY(1,1) NOT NULL,
[ProjectID] [int] NULL,
[Drawing ID] [int] NULL,
[Revision ID] [int] NULL,
[Issue Number] [int] NULL,
[Weight1] [float] NULL,
[Weight2] [float] NULL,
[Weight3] [float] NULL,
CONSTRAINT [PK_DrawingIssue] PRIMARY KEY CLUSTERED
(
[ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
CREATE TABLE [dbo].[Register](
[ID] [int] NOT NULL,
[ProjectID] [int] NULL,
[Number] [nvarchar](255) NULL,
CONSTRAINT [PK_Drawing_Register] PRIMARY KEY CLUSTERED
(
[ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
CREATE TABLE [dbo].[Revision](
[ID] [int] IDENTITY(1,1) NOT NULL,
[ProjectID] [int] NULL,
[Drawing ID] [int] NULL,
[Revision] [nvarchar](255) NULL,
[SDate] [datetime] NULL,
[EDate] [datetime] NULL,
CONSTRAINT [PK_DrawingRevision] PRIMARY KEY CLUSTERED
(
[ID] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET IDENTITY_INSERT [dbo].[Issue] ON
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (9, 23, 3, 5, 2, 12, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (10, 23, 4, 6, 9, NULL, 32, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (19, 23, 7, 12, 2, 24, NULL, 24)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (164, 23, 12, 61, 2, NULL, NULL, 42)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (165, 23, 13, 62, 1, 24, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (167, 23, 13, 62, 0, NULL, 42, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (168, 23, 13, 62, 2, NULL, 43, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (169, 23, 13, 64, 0, NULL, NULL, 24)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (170, 23, 13, 64, 1, NULL, 42, 42)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (171, 23, 13, 64, 3, NULL, 24, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (254, 23, 5, 86, 4, 24, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (256, 23, 13, 88, 2, 24, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (257, 23, 13, 89, 1, NULL, 24, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (258, 23, 13, 64, 2, 8, 7, 6)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (259, 23, 16, 91, 1, NULL, 4, 6)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (260, 23, 16, 91, 2, NULL, NULL, 4)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (297, 2, 17, 108, 1, NULL, 7, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (298, 2, 17, 108, 2, NULL, 68, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (299, 2, 17, 108, 6, 67, NULL, 86)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (300, 2, 17, 109, 2, NULL, 68, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (301, 2, 17, 109, 1, NULL, NULL, 68)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (302, 2, 17, 109, 3, 68, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (303, 2, 17, 110, 1, NULL, 86, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (304, 2, 17, 110, 2, 68, NULL, 68)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (305, 2, 17, 110, 7, NULL, 68, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (306, 2, 17, 110, 8, NULL, NULL, 68)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (307, 2, 17, 110, 6, NULL, 68, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (308, 23, 18, 111, 1, 68, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (309, 23, 19, 112, 1, NULL, 68, 8)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (310, 23, 20, 113, 1, NULL, 6, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (311, 23, 21, 114, 1, 3, NULL, 68)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (312, 23, 22, 115, 1, NULL, 5, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (313, 23, 23, 116, 1, NULL, 4, 34)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (314, 23, 24, 117, 1, 5, 46, 436)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (315, 23, 25, 118, 1, NULL, NULL, 6)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (316, 23, 26, 119, 1, 46, 45, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (317, 23, 27, 120, 1, NULL, 6, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (318, 23, 28, 121, 1, NULL, NULL, 4)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (319, 23, 29, 122, 1, NULL, 45, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (320, 23, 30, 123, 1, 36, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (321, 26, 31, 124, 1, NULL, 36, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (322, 26, 32, 125, 1, 36, NULL, 36)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (323, 26, 33, 126, 1, NULL, 36, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (324, 26, 34, 127, 1, NULL, NULL, 36)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (325, 26, 35, 128, 1, 36, NULL, 45)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (326, 2, 36, 129, 1, NULL, 36, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (327, 26, 37, 130, 1, NULL, NULL, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (328, 2, 38, 131, 1, NULL, 7, NULL)
GO
INSERT [dbo].[Issue] ([ID], [ProjectID], [Drawing ID], [Revision ID], [Issue Number], [Weight1], [Weight2], [Weight3]) VALUES (329, 23, 39, 132, 1, NULL, 56, NULL)
GO
SET IDENTITY_INSERT [dbo].[Issue] OFF
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (3, 23, N'1')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (4, 23, N'7')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (7, 23, N'3333')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (12, 23, N'D1')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (13, 23, N'DT1')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (16, 23, N'Dwg1')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (17, 2, N'D1')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (18, 23, N'23')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (19, 23, N'983')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (20, 23, N'100')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (21, 23, N'11112')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (22, 23, N'555')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (23, 23, N'666666')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (24, 23, N'77')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (25, 23, N'88')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (26, 23, N'99')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (27, 23, N'2')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (28, 23, N'3')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (29, 23, N'4')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (30, 23, N'Dwg12345')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (31, 26, N'1')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (32, 26, N'2')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (33, 26, N'3')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (34, 26, N'4')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (35, 26, N'5')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (36, 2, N'DT123')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (37, 26, N'DTApr04')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (38, 2, N'DTApr05')
GO
INSERT [dbo].[Register] ([ID], [ProjectID], [Number]) VALUES (39, 23, N'DTA05')
GO
SET IDENTITY_INSERT [dbo].[Revision] ON
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (5, 23, 3, N'0', CAST(N'2017-04-21 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (6, 23, 4, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (12, 23, 7, N'3', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (61, 23, 12, N'0', NULL, CAST(N'2017-04-10 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (62, 23, 13, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-08 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (64, 23, 13, N'1', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (88, 23, 13, N'1', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (89, 23, 13, N'2', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (90, 23, 13, N'1', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (91, 23, 16, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (108, 2, 17, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (109, 2, 17, N'1', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (110, 2, 17, N'2', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (111, 23, 18, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (112, 23, 19, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (113, 23, 20, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (114, 23, 21, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (115, 23, 22, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (116, 23, 23, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (117, 23, 24, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (118, 23, 25, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (119, 23, 26, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (120, 23, 27, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (121, 23, 28, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (122, 23, 29, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (123, 23, 30, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (124, 26, 31, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (125, 26, 32, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (126, 26, 33, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (127, 26, 34, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (128, 26, 35, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (129, 2, 36, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (130, 26, 37, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (131, 2, 38, N'0', NULL, CAST(N'2017-04-18 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Revision] ([ID], [ProjectID], [Drawing ID], [Revision], [SDate], [EDate]) VALUES (132, 23, 39, N'0', CAST(N'2017-04-18 00:00:00.000' AS DateTime), NULL)
GO
SET IDENTITY_INSERT [dbo].[Revision] OFF
GO
i need a query which will return one row per drawing with latest 4 issues which is grouped by desc of RevID ( Revision Table ) then desc by ISsue ID ( Issue Table ) it needs to select top 4 records for each drawings and all the four records are to be combined together with pivot as like,
DNo | ISsue1 | Issue2 | Issue3 | Issue4 | SDate1 | SDate2 | SDate3 | Sdate4 | EDate1 | EDate2 | EDate3 | EDate4 | Total1 | Total2 | Total3 | Total4
I have tried something as follows,
CREATE FUNCTION [dbo].[Dwg_logQuery_Test](#ProjectID int)
RETURNS TABLE
as
return
(
SELECT ID,Number,
Issue1,
Issue2,
Issue3,
Issue4,
Tonnage1,
Tonnage2,
Tonnage3,
Tonnage4,
SubmittedDate1,
SubmittedDate2,
SubmittedDate3,
SubmittedDate4,
EORReturnDate1,
EORReturnDate2,
EORReturnDate3,
EORReturnDate4,
Revision1,
Revision2,
Revision3,
Revision4
FROM (SELECT ID,
[Issue Number],
[Number],
[SubmittedDate],
[EORReturnDate],
Revision,
[Tonnage],
'Issue' + Cast(rn AS CHAR(10)) AS Issue,
'Tonnage' + Cast (rn AS CHAR(10)) AS TonnageHeader,
'SubmittedDate'+Cast (rn AS CHAR(10)) AS SubmittedDateHeader,
'EORReturnDate'+Cast (rn AS CHAR(10)) AS EORReturnDateHeader,
'Revision'+Cast (rn AS CHAR(10)) AS RevisionHeader
FROM (SELECT dwgReg.ID,
dwgIssue.[Issue Number],
Row_number()
OVER (
partition BY dwgIssue.[Drawing ID]
ORDER BY dwgReg.[ID], dwgRev.[Revision]
DESC, dwgIssue.[Issue Number] DESC)
AS rn,
dwgRev.Revision,
isnull(dwgIssue.weight1,0)+isnull(dwgIssue.weight2,0)+isnull(dwgIssue.weight3,0) as Tonnage,
dwgRev.[SDate] AS 'SubmittedDate',
dwgRev.[EDate] AS 'EORReturnDate'
,dwgReg.Number
FROM Issue dwgIssue
INNER JOIN Register dwgReg
ON dwgIssue.[Drawing ID] = dwgReg.ID
INNER JOIN Revision dwgRev
ON dwgRev.ID=dwgIssue.[Revision ID]
AND dwgIssue.[Drawing ID]=dwgReg.ID
where dwgReg.ProjectID=#ProjectID)dwgIssue
WHERE rn <= 4)dwgReg
PIVOT ( Max([Issue Number])
FOR Issue IN (Issue1,
Issue2,
Issue3,
Issue4)) pv
PIVOT (
MAX([Tonnage])
FOR TonnageHeader IN (Tonnage1, Tonnage2, Tonnage3, Tonnage4 )
) pv1
PIVOT ( Max([SubmittedDate])
FOR SubmittedDateHeader IN (SubmittedDate1,SubmittedDate2,SubmittedDate3,SubmittedDate4 )
) pv2
PIVOT ( Max([EORReturnDate])
FOR EORReturnDateHeader IN (EORReturnDate1,EORReturnDate2,EORReturnDate3,EORReturnDate4 )
) pv3
PIVOT ( Max([Revision])
FOR RevisionHeader IN (Revision1,Revision2,Revision3,Revision4 )
) pv4
)
GO
but i am failing in multiple PIVOT
So please some help me to resolve this.
Thanks in Advance.

Does this cover your desired result?
DECLARE #ProjectID int = 23;
WITH DataSrc as
(
SELECT ID, [Issue Number] INumber,
[Number] NNumber,
[SubmittedDate],
[EORReturnDate],
Revision,
[Tonnage],
'Issue' + Cast(rn AS CHAR(10)) AS Issue,
'Tonnage' + Cast (rn AS CHAR(10)) AS TonnageHeader,
'SubmittedDate'+Cast (rn AS CHAR(10)) AS SubmittedDateHeader,
'EORReturnDate'+Cast (rn AS CHAR(10)) AS EORReturnDateHeader,
'Revision'+Cast (rn AS CHAR(10)) AS RevisionHeader
FROM (SELECT dwgReg.ID,
dwgIssue.[Issue Number],
Row_number()
OVER (
partition BY dwgIssue.[Drawing ID]
ORDER BY dwgReg.[ID], dwgRev.[Revision]
DESC, dwgIssue.[Issue Number] DESC)
AS rn,
dwgRev.Revision,
isnull(dwgIssue.weight1,0)+isnull(dwgIssue.weight2,0)+isnull(dwgIssue.weight3,0) as Tonnage,
dwgRev.[SDate] AS 'SubmittedDate',
dwgRev.[EDate] AS 'EORReturnDate'
,dwgReg.Number
FROM Issue dwgIssue
INNER JOIN Register dwgReg
ON dwgIssue.[Drawing ID] = dwgReg.ID
INNER JOIN Revision dwgRev
ON dwgRev.ID=dwgIssue.[Revision ID]
AND dwgIssue.[Drawing ID]=dwgReg.ID
where dwgReg.ProjectID=#ProjectID)dwgIssue
WHERE rn <= 4
)
, DataSrc2 as
(
SELECT NNumber, INumber, Issue, Tonnage, TonnageHeader, SubmittedDate, SubmittedDateHeader,Revision, RevisionHeader
FROM DataSrc
)
SELECT * from DataSrc2
PIVOT (MAX(INumber) FOR Issue in ([Issue1], [Issue2], [Issue3], [Issue4])) pv1
PIVOT (MAX([Tonnage]) FOR TonnageHeader IN ([Tonnage1], [Tonnage2], [Tonnage3], [Tonnage4])) pv2
PIVOT (Max([SubmittedDate]) FOR SubmittedDateHeader IN ([SubmittedDate1],[SubmittedDate2],[SubmittedDate3],[SubmittedDate4])) pv3
PIVOT (Max([Revision]) FOR RevisionHeader IN ([Revision1], [Revision2], [Revision3], [Revision4])) pv4
GO
NNumber | Issue1 | Issue2 | Issue3 | Issue4 | Tonnage1 | Tonnage2 | Tonnage3 | Tonnage4 | SubmittedDate1 | SubmittedDate2 | SubmittedDate3 | SubmittedDate4 | Revision1 | Revision2 | Revision3 | Revision4
:------- | -----: | -----: | -----: | -----: | -------: | -------: | -------: | -------: | :------------------ | :------------------ | :------------------ | :------------------ | :-------- | :-------- | :-------- | :--------
1 | 2 | null | null | null | 12 | null | null | null | 21/04/2017 00:00:00 | null | null | null | 0 | null | null | null
100 | 1 | null | null | null | 6 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
11112 | 1 | null | null | null | 71 | null | null | null | null | null | null | null | 0 | null | null | null
2 | 1 | null | null | null | 6 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
23 | 1 | null | null | null | 68 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
3 | 1 | null | null | null | 4 | null | null | null | null | null | null | null | 0 | null | null | null
3333 | 2 | null | null | null | 48 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 3 | null | null | null
4 | 1 | null | null | null | 45 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
555 | 1 | null | null | null | 5 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
666666 | 1 | null | null | null | 38 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
7 | 9 | null | null | null | 32 | null | null | null | null | null | null | null | 0 | null | null | null
77 | 1 | null | null | null | 487 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
88 | 1 | null | null | null | 6 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
983 | 1 | null | null | null | 76 | null | null | null | null | null | null | null | 0 | null | null | null
99 | 1 | null | null | null | 91 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
D1 | 2 | null | null | null | 42 | null | null | null | null | null | null | null | 0 | null | null | null
DT1 | null | null | null | 2 | null | null | null | 21 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 1
DT1 | null | null | 2 | null | null | null | 24 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 1 | null
DT1 | null | 3 | null | null | null | 24 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 1 | null | null
DT1 | 1 | null | null | null | 24 | null | null | null | null | null | null | null | 2 | null | null | null
DTA05 | 1 | null | null | null | 56 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
Dwg1 | null | 1 | null | null | null | 10 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null
Dwg1 | 2 | null | null | null | 4 | null | null | null | 18/04/2017 00:00:00 | null | null | null | 0 | null | null | null
Dwg12345 | 1 | null | null | null | 36 | null | null | null | null | null | null | null | 0 | null | null | null
dbfiddle here
Update
Ok, if you want to UNION and GROUP all pivot results you can do it on this way:
NOTE: I've do it the work with the two first PIVOT results, because you must manually add all returned columns with null values to all the PIVOT queries.
, DataSrc2 as
(
SELECT NNumber, INumber, Issue, Tonnage, TonnageHeader, SubmittedDate, SubmittedDateHeader,Revision, RevisionHeader
FROM DataSrc where NNumber = 'DT1'
)
, Pvt as
(
SELECT NNumber,SubmittedDate1,SubmittedDate2,SubmittedDate3,SubmittedDate4, null as Issue1, null as Issue2, null as Issue3, null Issue4
from (select NNumber, SubmittedDateHeader, SubmittedDate from DataSrc2) src
PIVOT (Max([SubmittedDate]) FOR SubmittedDateHeader IN ([SubmittedDate1],[SubmittedDate2],[SubmittedDate3],[SubmittedDate4])) pv3
UNION ALL
SELECT NNumber, null as SubmittedDate1, null as SubmittedDate2, null as SubmittedDate3, null as SubmittedDate4, Issue1, Issue2, Issue3, Issue4
from (select NNumber, Issue, INumber from DataSrc2) src
PIVOT (MAX(INumber) FOR Issue in ([Issue1], [Issue2], [Issue3], [Issue4])) pv1
)
select NNumber, MAX(SubmittedDate1) SD1, MAX(SubmittedDate2) SD2, MAX(SubmittedDate3) SD3, MAX(SubmittedDate4) SD4,
MAX(Issue1) Iss1, MAX(Issue2) Iss2, MAX(Issue3) Iss3, MAX(Issue4) Iss4
from Pvt
group by Nnumber;
And this is the result, but I'd recommend you to build a temporary table for this job.
NNumber | SD1 | SD2 | SD3 | SD4 | Iss1 | Iss2 | Iss3 | Iss4
:------ | :--- | :------------------ | :------------------ | :------------------ | ---: | ---: | ---: | ---:
DT1 | null | 18/04/2017 00:00:00 | 18/04/2017 00:00:00 | 18/04/2017 00:00:00 | 1 | 3 | 2 | 2
Warning: Null value is eliminated by an aggregate or other SET operation.
dbfiddle here

The following query uses the dwgIssue derived table from your query and pivots the results directly from it using conditional aggregation:
SELECT
ID,
Number,
Issue1 = MAX(CASE rn WHEN 1 THEN [Issue Number] END),
Issue2 = MAX(CASE rn WHEN 2 THEN [Issue Number] END),
Issue3 = MAX(CASE rn WHEN 3 THEN [Issue Number] END),
Issue4 = MAX(CASE rn WHEN 4 THEN [Issue Number] END),
Tonnage1 = MAX(CASE rn WHEN 1 THEN Tonnage END),
Tonnage2 = MAX(CASE rn WHEN 2 THEN Tonnage END),
Tonnage3 = MAX(CASE rn WHEN 3 THEN Tonnage END),
Tonnage4 = MAX(CASE rn WHEN 4 THEN Tonnage END),
SubmittedDate1 = MAX(CASE rn WHEN 1 THEN SubmittedDate END),
SubmittedDate2 = MAX(CASE rn WHEN 2 THEN SubmittedDate END),
SubmittedDate3 = MAX(CASE rn WHEN 3 THEN SubmittedDate END),
SubmittedDate4 = MAX(CASE rn WHEN 4 THEN SubmittedDate END),
EORReturnDate1 = MAX(CASE rn WHEN 1 THEN EORReturnDate END),
EORReturnDate2 = MAX(CASE rn WHEN 2 THEN EORReturnDate END),
EORReturnDate3 = MAX(CASE rn WHEN 3 THEN EORReturnDate END),
EORReturnDate4 = MAX(CASE rn WHEN 4 THEN EORReturnDate END),
Revision1 = MAX(CASE rn WHEN 1 THEN Revision END),
Revision2 = MAX(CASE rn WHEN 2 THEN Revision END),
Revision3 = MAX(CASE rn WHEN 3 THEN Revision END),
Revision4 = MAX(CASE rn WHEN 4 THEN Revision END)
FROM
(
SELECT
dwgReg.ID,
dwgIssue.[Issue Number],
rn = ROW_NUMBER() OVER (PARTITION BY dwgIssue.[Drawing ID]
ORDER BY dwgReg.[ID], dwgRev.[Revision] DESC, dwgIssue.[Issue Number] DESC),
dwgRev.Revision,
Tonnage = isnull(dwgIssue.weight1,0)+isnull(dwgIssue.weight2,0)+isnull(dwgIssue.weight3,0),
SubmittedDate = dwgRev.[SDate],
EORReturnDate = dwgRev.[EDate],
dwgReg.Number
FROM
dbo.Issue AS dwgIssue
INNER JOIN Register AS dwgReg
ON dwgIssue.[Drawing ID] = dwgReg.ID
INNER JOIN Revision dwgRev
ON dwgRev.ID=dwgIssue.[Revision ID]
AND dwgIssue.[Drawing ID]=dwgReg.ID
WHERE dwgReg.ProjectID=#ProjectID
) AS dwgIssue
WHERE
rn <= 4
;
Conditional aggregation may have become less common as a pivoting method after the PIVOT operator was introduced. I, however, still find it preferable when I need to pivot more than one data column at once, like in your case.

resulting multiple columns from single value field

I have a table with the below columns (Table1).
[Date], [Status], [Time], [Category], [Count]
And I've written a SQL Query using, below is the query.
SELECT [Date]
,[Status]
,[Time]
,[1 time] as '1 time'
,[2 times] as '2 times'
,[3 times] as '3 times'
,[4 times] as '4 times'
,[5 times] as '5 times'
,[>5 times] as '>5 times'
FROM Table1
PIVOT (
SUM([Count])
FOR [Category] IN
([1 time], [2 times], [3 times], [4 times], [5 times], [>5 times])
) as PVT
ORDER BY 1, 2, 3, 4
And the I did the get the result as required with the below columns.
[Date], [Status], [Time], [1 time], [2 times], [3 times], [4 times], [5 times], [>5 times]
But I need to add one more column names as Overall which will give the sum of all these columns.
[1 time], [2 times], [3 times], [4 times], [5 times], [>5 times]
Can someone help me with it?

Try this:
SELECT [Date]
,[Status]
,[Time]
,[1 time]
,[2 times]
,[3 times]
,[4 times]
,[5 times]
,[>5 times]
,[1 time] + [2 times] + [3 times] + [4 times] + [5 times] + [>5 times] AS Overall
FROM (SELECT [Date]
,[Status]
,[Time]
,[1 time] as '1 time'
,[2 times] as '2 times'
,[3 times] as '3 times'
,[4 times] as '4 times'
,[5 times] as '5 times'
,[>5 times] as '>5 times'
FROM Table1
PIVOT (SUM([Count]) FOR [Category] IN ([1 time], [2 times], [3 times], [4 times], [5 times], [>5 times])) as PVT) AS T
ORDER BY 1, 2, 3, 4

Stored Procedure Error

I'm getting the following error when I run this code: Msg 102, Level 15, State 1, Line 1
Incorrect syntax near ')'. Any ideas on how to fix this? Any help would be appreciated.
Declare #Month int
Declare #Year int
Declare #newYear int
Declare #EndYearMonth int
Declare #PreviousMonthInt int
Declare #OldYear int
Declare #PreviousMonthName varchar(10)
Declare #NextMonthName varchar(10)
Declare #SQL nvarchar(max)
DECLARE #ParameterDefinition AS NVARCHAR(100)
SET #ParameterDefinition = '#Month int, #Year int, #newYear int, #EndYearMonth int, #PreviousMonthInt int, #OldYear int, #PreviousMonthName varchar(10), #NextMonthName varchar(10)'
Set #SQL = 'Select Y.*, X.* from (Select T1.[1], T1.[2], T1.[3], T1.[4], T1.[5], T1.[6], T1.[7], T1.[8], T1.[9], T1.[10], T1.[11], T1.[12], T1.[13], T1.[14], T1.[15], T1.[16], T1.[17], T1.[18], T1.[19], T1.[20], T1.[21], T1.[22], T1.[23], T1.[24], T1.[25], T1.[26], T1.[27], T1.[28], T1.[29], T1.[30], T1.[31], T2.[1] as February1, T2.DoctorName from (SELECT [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], DoctorName FROM (SELECT DoctorName, WeekDay, DayType FROM View_GridbyWeekDay where TheMonth = #Month and TheYear = #Year) ps PIVOT ( Max(DayType) FOR WeekDay IN ([1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31]) ) AS pvt) as T1 Left outer Join (SELECT [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], DoctorName FROM (SELECT DoctorName, WeekDay, DayType FROM View_GridbyWeekDay where TheMonth = #EndYearMonth and TheYear = #newYear) ps PIVOT ( Max(DayType) FOR WeekDay IN ([1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31]) ) AS pvt) as T2 on (T1.DoctorName = T2.DoctorName)) as X Left Outer Join (Select DoctorName, [27] as December27, [28] as December28, [29] as December29, [30] as December30, [31] as December31 FROM (SELECT DoctorName, WeekDay, DayType FROM View_GridbyWeekDay where TheMonth = #PreviousMonthInt and TheYear = #OldYear) ps PIVOT ( Max(DayType) FOR WeekDay IN ([1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31]) ) AS pvt) as Y on (X.DoctorName = Y.DoctorName) Order by X.DoctorName asc '
EXECUTE sp_executesql #SQL, #ParameterDefinition, #Month, #Year, #newYear, #EndYearMonth, #PreviousMonthInt, #OldYear, #PreviousMonthName, #NextMonthName

You're missing at least one ending parentheses for your PIVOT command.
Edit: Looks like you have one too many.
I took all of the text out of your statement and just left the parentheses. This is what it looks like:
Select Y.*, X.* from
((()(()()))(()(()))())(()(()))()

As #George Stocker said, You're missing at least one ending parentheses for your PIVOT command.
try taking your #SQL string in an editor and breaking it up onto multiple lines and indenting it properly, and you'll probably notice where the missing ")" should be.

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