I have a complex SQL query please resolve. Here is the details of it.
As I think the screenshot I have attached shows all the requirements. The system works like this.
I am creating a text file in my application and logging the same in SQL Server also. As soon as this file gets created, with same name another file gets created with .html extension. I am logging the html file also in SQL Server. So basically if you want you can group the rows on the basis of file name to get a single request.
Now by using SQL I want to get the time difference between these two files. As you can see in the image that first request has taken 547 milliseconnds.
The same way I want to get the average time taken by all the requests in a minute or hour.
SQL Script
CREATE TABLE [dbo].[DebugInfo](
[Id] [bigint] IDENTITY(1,1) NOT NULL,
[FileName] [varchar](250) NULL,
[Message] [varchar](250) NULL,
[Time] [datetime] NULL,
[UserId] [int] NULL,
CONSTRAINT [PK_DebugInfo] 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 ANSI_PADDING OFF
GO
SET IDENTITY_INSERT [dbo].[DebugInfo] ON
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (1, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000001.txt', N'File Is LOCKED Count:- 511', CAST(0x0000A43300CF83FD AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (2, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000001.htm', N'File Is LOCKED Count:- 335', CAST(0x0000A43300CF84A1 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (3, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000002.txt', N'File Is LOCKED Count:- 672', CAST(0x0000A43300D0072D AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (4, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000002.htm', N'File Is LOCKED Count:- 1006', CAST(0x0000A43300D00895 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (5, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000003.txt', N'File Is LOCKED Count:- 254', CAST(0x0000A43300D00FC9 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (6, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000003.htm', N'File Is LOCKED Count:- 136', CAST(0x0000A43300D01001 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (7, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000004.txt', N'File Is LOCKED Count:- 772', CAST(0x0000A43300D0167E AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (8, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000004.htm', N'File Is LOCKED Count:- 181', CAST(0x0000A43300D016C5 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (9, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000005.txt', N'File Is LOCKED Count:- 347', CAST(0x0000A43300D01B65 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (10, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000005.htm', N'File Is LOCKED Count:- 117', CAST(0x0000A43300D01B8F AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (11, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000006.txt', N'File Is LOCKED Count:- 572', CAST(0x0000A43300F13506 AS DateTime), NULL)
INSERT [dbo].[DebugInfo] ([Id], [FileName], [Message], [Time], [UserId]) VALUES (12, N'\\172.16.1.18\datadrive\vol2\SCANNING\SCAN\NovToWin\SIP1\WH000006.htm', N'File Is LOCKED Count:- 562', CAST(0x0000A43300F13632 AS DateTime), NULL)
Here is what i have used to generate the RawFileName
SELECT *, SUBSTRING((REVERSE
(
SUBSTRING
(
REVERSE(FileName),0,CHARINDEX('\',REVERSE(FileName))
)
)),0, CHARINDEX('.',REVERSE
(
SUBSTRING
(
REVERSE(FileName),0,CHARINDEX('\',REVERSE(FileName))
)
))) AS RawFileName from DebugInfo
Thanks
Does this do what you want?
select avg(diff_ms * 1.0)
from (select datediff(millisecond, min(time), max(time)) as diff_ms
from t
group by rawfilename
) t;
select avg(diff)
from ( select filename, DATEDIFF(MILLISECOND, Time, nextTime) as diff
from ( select [FileName]
, [Time]
, lead(Time, 1, 0) OVER (ORDER BY id) AS nextTime
, row_number() over (partition by FileName order by Time) as rn
from [DebugInfo]
) tt
where tt.rn = 1
) ttt
select avg(diff)
from ( select datediff(millisecond, minTime, maxTime) as diff
from ( select min(time) as minTime, max(time) ss maxTime
from [DebugInfo]
group by rawfilename
) tt
) ttt;
Related
I am trying to implement validation to check whether the same FX rate has been entered in reverse order for the same date. Users would populate a spreadsheet consisting of five columns:
Date
From Currency
To Currency
Rate
Multiply/Divide
The user would add data into a spreadsheet to import through the system, below is a mock example of how the data would look in the table in the database:
I have the structure of the validation in place, I am just wondering how I would write a select statement in order to return all rows which:
Have both directions for the same date, as shown in the first two rows in the image above^. USD & GBP both have Multiply (M) and Divide (D) for the 01/02/2023, therefore I would like to return these rows as to fail the validation, none of the other rows in the example should be returned as they are valid.
I thought I'd include a script to create the table shown in the image above which includes the exact data shown. I am hoping to return the first two rows from the table above
CREATE TABLE [tblFXRates](
[ID] [int] IDENTITY(1,1) NOT NULL,
[Date] [datetime] NOT NULL,
[FromCurrency] [nvarchar](3) NOT NULL,
[ToCurrency] [nvarchar](3) NOT NULL,
[Rate] [decimal](19, 2) NOT NULL,
[Divide/Multiply] [nvarchar](1) NOT NULL
) ON [PRIMARY]
GO
SET IDENTITY_INSERT [tblFXRates] ON
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (1, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'USD', N'GBP', CAST(1.30 AS Decimal(19, 2)), N'M')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (2, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'GBP', N'USD', CAST(1.30 AS Decimal(19, 2)), N'D')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (3, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'GBP', N'EUR', CAST(1.11 AS Decimal(19, 2)), N'M')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (4, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'GBP', N'GBP', CAST(1.00 AS Decimal(19, 2)), N'M')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (5, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'GBP', N'GBP', CAST(1.00 AS Decimal(19, 2)), N'D')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (6, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'USD', N'USD', CAST(1.00 AS Decimal(19, 2)), N'M')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (7, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'USD', N'USD', CAST(1.00 AS Decimal(19, 2)), N'D')
GO
INSERT [tblFXRates] ([ID], [Date], [FromCurrency], [ToCurrency], [Rate], [Divide/Multiply]) VALUES (8, CAST(N'2023-02-01T00:00:00.000' AS DateTime), N'EUR', N'GBP', CAST(0.90 AS Decimal(19, 2)), N'M')
GO
SET IDENTITY_INSERT [tblFXRates] OFF
GO
Edit:
this will do:
assumig we want only those with different FromCurrency & ToCurrency, but of course you can change this.
SELECT
tbl1.*
FROM
test.tblfxrates tbl1
inner join
test.tblfxrates tbl2 on tbl2.FromCurrency = tbl1.ToCurrency and tbl2.ToCurrency = tbl1.FromCurrency and tbl1.FromCurrency <> tbl1.ToCurrency and tbl1.Date = tbl2.Date
where
tbl1.DivideMultiply <> tbl2.DivideMultiply
order by
tbl1.ID
it will return the first 2 lines
I have a question that I dont know If there is solution to in sql. Made an small example
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Events](
[Id] [int] IDENTITY(1,1) NOT NULL,
[EventTime] [datetime] NOT NULL,
[Event] [nvarchar](50) NOT NULL
) ON [PRIMARY]
GO
/****** Object: Table [dbo].[Logging] Script Date: 2020-07-07 14:35:17 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Logging](
[Id] [int] IDENTITY(1,1) NOT NULL,
[FromTime] [datetime] NOT NULL,
[ToTime] [datetime] NOT NULL,
[Status] [nvarchar](50) NULL
) ON [PRIMARY]
GO
SET IDENTITY_INSERT [dbo].[Events] ON
GO
INSERT [dbo].[Events] ([Id], [EventTime], [Event]) VALUES (1, CAST(N'2020-07-07T14:14:00.000' AS DateTime), N'str')
GO
INSERT [dbo].[Events] ([Id], [EventTime], [Event]) VALUES (2, CAST(N'2020-07-07T07:01:00.000' AS DateTime), N'testcall')
GO
INSERT [dbo].[Events] ([Id], [EventTime], [Event]) VALUES (3, CAST(N'2020-07-07T15:22:00.000' AS DateTime), N'ipfail')
GO
SET IDENTITY_INSERT [dbo].[Events] OFF
GO
SET IDENTITY_INSERT [dbo].[Logging] ON
GO
INSERT [dbo].[Logging] ([Id], [FromTime], [ToTime], [Status]) VALUES (1, CAST(N'2020-07-07T01:00:00.000' AS DateTime), CAST(N'2020-07-07T13:00:00.000' AS DateTime), N'All well')
GO
INSERT [dbo].[Logging] ([Id], [FromTime], [ToTime], [Status]) VALUES (2, CAST(N'2020-07-07T13:01:00.000' AS DateTime), CAST(N'2020-07-07T15:00:00.000' AS DateTime), N'All well')
GO
INSERT [dbo].[Logging] ([Id], [FromTime], [ToTime], [Status]) VALUES (3, CAST(N'2020-07-07T15:33:00.000' AS DateTime), CAST(N'2020-07-07T20:00:00.000' AS DateTime), N'All well')
GO
INSERT [dbo].[Logging] ([Id], [FromTime], [ToTime], [Status]) VALUES (4, CAST(N'2020-07-07T20:01:00.000' AS DateTime), CAST(N'2020-07-07T23:00:00.000' AS DateTime), N'All well')
GO
SET IDENTITY_INSERT [dbo].[Logging] OFF
GO
When doing an inner join of this table I want to find the Event in Event table that doesn't have a matching timeframe in Logging. The timeframe that's missing is 15:00 to 15:33 and the event that happens that happens is the Event with ID 3. Everything is measured in minutes. Is this possible? Or have to do it some other way?
If I understand correctly, you want not exists:
select l.*
from logging l
where not exists (select 1
from events e
where e.eventtime >= l.fromtime and
e.eventtime <= l.totime
);
However, this returns two timeframes -- ones with ids 3 and 4.
Here is a db<>fiddle.
I have a question about SQL Server: how to convert rows to columns with comma-separated data using bulk data?
CREATE TABLE [dbo].[Emp]
(
[eid] [int] NULL,
[name] [varchar](50) NULL,
[sal] [money] NULL,
[doj] [date] NULL,
[deptno] [int] NULL
)
INSERT [dbo].[Emp] ([eid], [name], [sal], [doj], [deptno])
VALUES (1, N'a', 100.0000, CAST(N'2010-10-01' AS Date), 10)
INSERT [dbo].[Emp] ([eid], [name], [sal], [doj], [deptno])
VALUES (2, N'bb', 200.0000, CAST(N'2010-02-03' AS Date), 20)
INSERT [dbo].[Emp] ([eid], [name], [sal], [doj], [deptno])
VALUES (3, N'c', 300.0000, CAST(N'2017-02-03' AS Date), 30)
INSERT [dbo].[Emp] ([eid], [name], [sal], [doj], [deptno])
VALUES (4, N'd', 301.0000, CAST(N'2010-03-04' AS Date), 10)
INSERT [dbo].[Emp] ([eid], [name], [sal], [doj], [deptno])
VALUES (5, N'teee', 250.0000, CAST(N'2010-06-04' AS Date), 20)
INSERT [dbo].[Emp] ([eid], [name], [sal], [doj], [deptno])
VALUES (7, N'tte', 800.0000, CAST(N'2010-08-09' AS Date), 70)
I want output like below :
userlist
1,2,3,4,5,7
I tried this code:
select distinct
stuff((select ',' + cast(u.eid as varchar)
from emp u
where 1 = 1
for xml path('')), 1, 1, '') as userlist
from emp
Suppose if data has 100 thousand entries, then this query is not returning 100 thousand comma-separated
Could you please tell me how to write query to achieve this task in SQL Server?
I think the query is working as expected. But the result is too large to be displayed in management studio.
I have a SQL table which holds transactions of products and cumulative total of packed products each minute from a machine.
I'm trying to summarize this table (in a sql query) into product runs.
The start times are denoted by the first record of the product where cumulative is > 0
The finish times are denoted by the last record of the product run - but ignore if the cumulative didn't change (i.e. no more products where actually packed)
As in the example table, the same product can have multiple runs a day but the summary should show each individual product run.
Create table and insert data....
CREATE TABLE [dbo].[Test](
[ID] [nchar](10) NULL,
[Product] [varchar](20) NULL,
[datetime] [datetime] NULL,
[Cumulative_Packed] [int] NULL
) ON [PRIMARY]
GO
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'1 ', N'Item1', CAST(N'2019-11-14T14:15:00.000' AS DateTime), 10)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'2 ', N'Item1', CAST(N'2019-11-14T14:16:00.000' AS DateTime), 22)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'3 ', N'Item1', CAST(N'2019-11-14T14:17:00.000' AS DateTime), 35)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'4 ', N'Item1', CAST(N'2019-11-14T14:18:00.000' AS DateTime), 40)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'5 ', N'Item1', CAST(N'2019-11-14T14:19:00.000' AS DateTime), 40)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'6 ', N'Item1', CAST(N'2019-11-14T14:20:00.000' AS DateTime), 40)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'7 ', N'Item1', CAST(N'2019-11-14T14:21:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'8 ', N'Item1', CAST(N'2019-11-14T14:22:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'9 ', N'Item1', CAST(N'2019-11-14T14:23:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'10 ', N'Item2', CAST(N'2019-11-14T14:24:00.000' AS DateTime), 12)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'11 ', N'Item2', CAST(N'2019-11-14T14:25:00.000' AS DateTime), 18)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'12 ', N'Item2', CAST(N'2019-11-14T14:26:00.000' AS DateTime), 18)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'13 ', N'Item2', CAST(N'2019-11-14T14:27:00.000' AS DateTime), 22)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'14 ', N'Item2', CAST(N'2019-11-14T14:28:00.000' AS DateTime), 22)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'15 ', N'Item1', CAST(N'2019-11-14T14:29:00.000' AS DateTime), 0)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'16 ', N'Item1', CAST(N'2019-11-14T14:30:00.000' AS DateTime), 7)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'17 ', N'Item1', CAST(N'2019-11-14T14:31:00.000' AS DateTime), 30)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'18 ', N'Item1', CAST(N'2019-11-14T14:32:00.000' AS DateTime), 38)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'19 ', N'Item1', CAST(N'2019-11-14T14:33:00.000' AS DateTime), 38)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'20 ', N'Item1', CAST(N'2019-11-14T14:34:00.000' AS DateTime), 38)
INSERT [dbo].[Test] ([ID], [Product], [datetime], [Cumulative_Packed]) VALUES (N'21 ', N'Item1', CAST(N'2019-11-14T14:35:00.000' AS DateTime), 38)
I think you want lead() and lag() to identify the starts and stops. For your data:
select row_number() over (order by min(datetime)) as run_order,
product, min(datetime), max(datetime),
max(cumulative_packed)
from (select t.*,
sum(case when prev_cp = 0 or prev_cp is null then 1 else 0 end) over (partition by product order by datetime) as rungrp
from (select t.*,
lag(cumulative_packed) over (partition by product order by datetime) as prev_cp,
lead(cumulative_packed) over (partition by product order by datetime) as next_cp
from t
) t
where (prev_cp = 0 or prev_cp is null) or -- is start
(next_cp = cp or next_cp = 0 or next_cp is null) -- is stop
) t
group by rungrp, product
order by rungrp, product, min(datetime);
EDIT:
Your data seems to require duplicate removal. From what I follow, you just need the first time the value changes. This can be handled with one additional layer of subqueries:
select row_number() over (order by min(datetime)) as run_order,
product, min(datetime), max(datetime),
max(cumulative_packed)
from (select t.*,
sum(case when prev_cp = 0 or prev_cp is null then 1 else 0 end) over (partition by product order by datetime) as rungrp
from (select t.*,
lag(cumulative_packed) over (partition by product order by datetime) as prev_cp,
lead(cumulative_packed) over (partition by product order by datetime) as next_cp
from (select t.*,
lag(cumulative_packed) over (partition by product order by datetime) as first_prev_cp
from t
) t
where first_prev_cp is null or first_prev_cp <> cumulative_packed
) t
where (prev_cp = 0 or prev_cp is null) or -- is start
(next_cp = cp or next_cp = 0 or next_cp is null) -- is stop
) t
group by rungrp, product
order by rungrp, product, min(datetime);
I have a simple table
CREATE TABLE [dbo].[Tooling](
[Id] [int] IDENTITY(1,1) NOT NULL,
[Name] [nvarchar](50) NOT NULL,
[Status] [int] NOT NULL,
[DateFinished] [datetime] NULL,
[Tooling] [nvarchar](50) NULL,
[Updated] [datetime] NULL,
) ON [PRIMARY]
with following values
SET IDENTITY_INSERT [dbo].[Tooling] ON
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (1, N'Large', 0, NULL, NULL, CAST(N'2015-05-05 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (2, N'Large', 1, NULL, N'1', CAST(N'2015-05-10 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (3, N'Small', 0, NULL, N'2', CAST(N'2015-05-11 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (4, N'Large', 2, NULL, N'1', CAST(N'2015-05-12 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (5, N'Large', 2, NULL, N'2', CAST(N'2015-05-12 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (6, N'Large', 1, NULL, N'1', CAST(N'2015-05-13 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (7, N'Large', 1, NULL, N'2', CAST(N'2015-05-14 00:00:00.000' AS DateTime))
GO
INSERT [dbo].[Tooling] ([Id], [Name], [Status], [DateFinished], [Tooling], [Updated]) VALUES (8, N'Small', 1, CAST(N'2015-05-15 00:00:00.000' AS DateTime), N'2', CAST(N'2015-05-15 00:00:00.000' AS DateTime))
GO
SET IDENTITY_INSERT [dbo].[Tooling] OFF
I want to create a view of the table that looks like its an entirely own table.
SELECT Id, Name, Status, DateFinished
FROM Tooling t order by t.id
If i run that I would like that the records with id 5 and 7 should be excluded since they dont change in the selected set from the previous row.
I had an idea to solve this by using, ROW_NUMBER() over partition
And by using group by but thats seems to incorrect(Could not to get it to work at all)
How do I group it when the should be grouped on that the value change and not the value it contains?
Any suggestions to solve this?
My end goal is also try to convert this to linq to entities...
OK, supposing it's ordered by id
select *
from (
select *, rng = row_number() over (partition by grp order by id)
from (
select *, grp = row_number() over (order by id) - row_number() over (partition by Name, Status, DateFinished order by id)
from tooling ) g
) gn
where rng = 1
order by id