SQL Select within a select - sql

I'm creating a dataset that will be displayed in an SSRS report.
I have a query in a job that puts a count into a table [dbo].[CountMetersDue] on a rolling basis on the 1st of every month; the value changes throughout the month so need to take a snapshot at beginning.
I have the report set up which uses a custom expression to produce a cumulative trend graph. Basically takes one value, divides by another to work out a percentage. Therefore I have two queries that need combining... Took me ages to get my head round all this!
I just need help with the last bit.
SELECT (SELECT [Count]
FROM [MXPTransferDev].[dbo].[CountMetersDue]
WHERE [MXPTransferDev].[dbo].[CountMetersDue].[DateTime] =
[MXPTransferDev].[dbo].[Readings].[dateRead]) AS [MetersDue],
COUNT(readingid) AS [TotalReadings],
CONVERT(DATE, dateread) AS [dateRead]
FROM [MXPTransferDev].[dbo].[Readings]
WHERE ( [MXPTransferDev].[dbo].[Readings].[dateRead] BETWEEN
'01-may-11' AND '31-may-11' )
AND ( webcontactid IS NOT NULL )
AND ( meter = 1 )
GROUP BY CONVERT(DATE, [MXPTransferDev].[dbo].[Readings].[dateRead])
CREATE TABLE [dbo].[CountMetersDue](
[Count] [int] NULL,
[DateTime] [datetime] NULL
) ON [USER]
GO
ALTER TABLE [dbo].[CountMetersDue]
ADD CONSTRAINT [DF_CountMetersDue_DateTime] DEFAULT (getdate()) FOR [DateTime]
GO
CREATE TABLE [dbo].[Readings](
[readingId] [bigint] IDENTITY(1,1) NOT FOR REPLICATION NOT NULL,
[dateRead] [datetime] NOT NULL,
[meter] [int] NOT NULL,
[webcontactid] [bigint] NULL,
Readings
readingId meter reading dateRead webcontactid
583089 4 3662 2011-05-25 15:00:33.040 479
583207 3 682 2011-05-25 15:00:33.027 479
583088 2 98064 2011-05-25 15:00:33.007 479
CountMetersDue
Count DateTime
2793 2011-12-01 00:00:00.000
1057 2011-05-01 14:08:20.437
610 2011-03-01 00:00:00.000

Second stab at answering your question (will probably need some clarification from yourself before the answer is correct):
/* DDL: 2 tables [CountMetersDue] & [Readings]
[CountMetersDue]
([DateTime] datetime,
[Count] int)
[Readings]
([ReadingId] bigint,
[dateRead] datetime,
[webcontactid] bigint,
[meter] int)
[CountMetersDue] - contains 1 record on the first of every month, with count of the number of readings at that date
[Readings] - contains all the individual readings
ie:
[CountMetersDue]
01-Jan-2011 1000
01-Feb-2011 2357
01-Mar-2011 3000
[Readings]
1 01-Jan-2011 11 1
2 02-Jan-2011 12 1
3 03-Jan-2011 13 1
...
*/
SELECT
CONVERT(DATE, [dbo].[Readings].[dateRead]) AS dateRead,
COUNT([dbo].[Readings].[readingId]) AS TotalReadings,
[dbo].[CountMetersDue].[Count] AS MetersDue
FROM
[CountMetersDue] /* get all count meters due */
left join [Readings] /* get any corresponding Reading records
where the dateRead in the same month as
the CountMetersDue */
on DATEPART(year, Readings.dateRead) = DATEPART(year, [CountMetersDue].[DateTime]) /* reading in same year as CountMetersDue */
and DATEPART(month, Readings.dateRead) = DATEPART(month, [CountMetersDue].[DateTime]) /* reading in same month as CountMetersDue */
WHERE ([MXPTransferDev].[dbo].[Readings].[dateRead]) BETWEEN
#StartDate AND #EndDate
AND ( webcontactid IS NOT NULL )
AND ( meter = 1 )
GROUP BY
[dbo].[CountMetersDue].[Count],CONVERT(DATE, [dbo].[Readings].[dateRead])

This would be the query you are looking for then?
Subqueries, as they are called, can be included by enclosing them in parentheses '()'.
SELECT (SELECT [Count] FROM [xxxxx].[dbo].[CountMetersDue] AS tabA WHERE tabA.[datefield] = tabB.dateRead) AS [MetersDue], COUNT(readingId) AS [TotalReadings], CONVERT(DATE, dateRead) AS [dateRead]
FROM [xxxxx] AS tabB
WHERE (dateRead BETWEEN #StartDate AND #EndDate) AND (webcontactid IS NOT NULL) AND (meter = 1)
GROUP BY CONVERT(DATE, dateRead)

Related

How to calculate StartDate and EndDate based on ReportingMonth value

I Need to calculate StartDate and EndDate based on ReportingMonth value
sample data:
CREATE TABLE TestDate (
[ID] [int] NULL,
[PerID] [int] NULL,
[CommID] [int] NULL,
[ReportingMonth] [nvarchar](200) NULL,
[Number] [nvarchar](200) NULL
)
Insert into TestDate ( [ID],[PerID],[CommID],[ReportingMonth],[Number])
Values ('3820','12508','7','Jul-16','31');
Insert into TestDate ( [ID],[PerID],[CommID],[ReportingMonth],[Number])
Values ('10235','12498','58','Aug-16','1');
Insert into TestDate ( [ID],[PerID],[CommID],[ReportingMonth],[Number])
Values ('10235','12498','2','Jul-16','15');
I need to calculate StartDate and EndDate based on ReportingMonth with the difference of Number column
Expected output for StartDate and EndDate should be like this
ID PerID CommID ReportingMonth StartDate Number EndDate
3820 12508 7 Jul-16 30/06/2016 31 31/07/2016
10235 12498 58 Aug-16 15/07/2016 1 1/08/2016
10235 12498 2 Jul-16 15/07/2016 15 1/08/2016
SQL Query that I used to calculate start date for one month is working but when there are more than one same ID then it is not working
select [ID]
,[PerID]
,[CommID]
,[ReportingMonth]
,[Number]
,DATEADD(DAY, -(cast([Number] as int)), eomonth(CAST([Number] as DateTime))) as StartDate
from TestDate
How to get StartDate and EndDate base on just having only ReportingMonth field
Thanks,
Sandeep
SQL Server is pretty good about figuring out month conversions. So, this should work:
select cast('01-' + ReportingMonth as date) as month_start,
eomonth(cast('01-' + ReportingMonth as date)) as month_end

Splitting datetime into date/year/month/dayname and count year

I got question to split date, month year, dayname from datetime by using trigger, when I insert a datetime, then in next column will split date, time, month year dayname and count year (to know how old the man in my data) is that possible ?
For example, if I insert
INSERT INTO MAN VALUES ('04/06/1982')
then will be like this
DATETIME DATE MONTH YEAR DAYNAME AGE
04/06/1982 00:00:00 04 06 1982 friday 27
Try this :-
Declare #myDate datetime
set #myDate='19820604' --YYYYMMDD
Select #myDate as DateTime,
datename(day,#myDate) as Date,
month(#myDate) as Month,
datename(year,#myDate) as Year,
Datename(weekday,#myDate) as DayName,
DATEDIFF ( year , #myDate , getdate() ) as Age
Result
╔══════════════════════════════╦══════╦═══════╦══════╦═════════╦══════════╗
║ DateTime ║ DATE ║ MONTH ║ YEAR ║ DAYNAME ║ Age ║
╠══════════════════════════════╬══════╬═══════╬══════╬═════════╬══════════╣
║ April, 06 1982 00:00:00+0000 ║ 4 ║ 6 ║ 1982 ║ Friday ║ 31 ║
╚══════════════════════════════╩══════╩═══════╩══════╩═════════╩══════════╝
SQL Fiddle Demo
The code has been slightky altered to give the age correctly.
Select myDate,myDateDate,myDateMonth,myDateYear,myDateDayName, Convert(varchar(50),Age)+ ' Years and '+Convert(varchar(50),nodays) +'days' {Age] from
(
Select #myDate as myDate,
datename(day,#myDate) as myDateDate,
month(#myDate) as myDateMonth,
datename(year,#myDate) as myDateYear,
Datename(weekday,#myDate) as myDateDayName,
DATEDIFF ( year , #myDate , getdate() ) Age ,
DATEDIFF ( dd , #myDate , getdate() ) -365* DATEDIFF ( year , #myDate , getdate() ) as nodays
) As a
Thanks
Arun
Here there are two approaches for solving the issue:
- Approach 1:
you can add some computed columns in to your table, so when you retrieve the table contents the other remaining fields are computed in that time.
-- 1.1) Create the base of table 'MAN'
CREATE TABLE [dbo].[MAN](
[DATETIME] [datetime] NOT NULL
) ON [PRIMARY]
GO
-- 1.2) Insert a record in it
INSERT INTO MAN VALUES ('04/06/1982')
GO
-- 1.3) Add some computed columns
ALTER TABLE MAN
ADD
[DAY] AS DATENAME(DAY, [DATETIME]),
[MONTH] AS MONTH([DATETIME]),
[YEAR] AS DATENAME(YEAR, [DATETIME]),
[DAYNAME] AS DATENAME(WEEKDAY, [DATETIME]),
[AGE] AS DATEDIFF(YEAR, [DATETIME], GETDATE())
GO
-- 1.4) See the result
SELECT * FROM MAN
- Approach 2:
While you creating the table, you add the remaining fields that you need, so that in the next phase you add insert/update triggers in order to calculate the remaining fields and insert/update them.
-- 2.1) Create the table 'MAN' with all needed columns
CREATE TABLE [dbo].[MAN](
[DATETIME] [datetime] NOT NULL,
[DAY] [int] NULL,
[MONTH] [int] NULL,
[YEAR] [int] NULL,
[DAYNAME] [nvarchar](10) NULL,
[AGE] [int] NULL
) ON [PRIMARY]
GO
-- 2.2) Create Insert and update triggers in order to calculate the values of the rest fields while inserting/updating
CREATE TRIGGER [dbo].[trCalculateRemainingDateFields] ON MAN
AFTER INSERT, UPDATE
AS
BEGIN
SET NOCOUNT ON;
UPDATE MAN
SET
[DAY] = DATENAME(DAY, MAN.[DATETIME]),
[MONTH] = MONTH(MAN.[DATETIME]),
[YEAR] = DATENAME(YEAR, MAN.[DATETIME]),
[DAYNAME] = DATENAME(WEEKDAY, MAN.[DATETIME]),
[AGE] = DATEDIFF(YEAR, MAN.[DATETIME], GETDATE())
FROM Inserted i
WHERE i.[DATETIME] = MAN.[DATETIME]
END
GO
-- 2.3) Insert a record in it
INSERT INTO MAN ([DATETIME]) VALUES ('04/06/1985')
GO
-- 2.4) See the result
SELECT * FROM MAN
- Approach 3:
Creating a view of the main table which calculate the remaining fields can be a good option.
-- 3.1) Create the base of table 'MAN'
CREATE TABLE [dbo].[MAN](
[DATETIME] [datetime] NOT NULL
) ON [PRIMARY]
GO
-- 3.2) Insert a record in it
INSERT INTO MAN VALUES ('04/06/1982')
GO
-- 3.3) Create a view which is contained the remaining fields
CREATE VIEW dbo.vMAN
AS
SELECT [DATETIME],
DATENAME(DAY, [DATETIME]) AS [DAY],
MONTH([DATETIME]) AS [MONTH],
DATENAME(YEAR, [DATETIME]) AS [YEAR],
DATENAME(WEEKDAY, [DATETIME]) AS [DAYNAME],
DATEDIFF(YEAR, [DATETIME], GETDATE()) AS [AGE]
FROM MAN
GO
-- 3.4) See the result
SELECT * FROM vMAN

How can I group by time in SQL [duplicate]

This question already has answers here:
Closed 10 years ago.
Possible Duplicate:
SQL Query Group By Datetime problem?
I am working on an application with 2 steps.
Scan logs and persist data from them in a database.
Read data from database and visualize the data.
The first step is more or less finished. I try to explain the background and my reguirement with the second step.
Each row in the database consists of some info like logdate, logfilename, LogType, logMessage etc. So I want for example write SQL that summarize a given LogType per day.
This is the columns:
[LogDate] [datetime] NOT NULL,
[Computer] [varchar](50) NOT NULL,
[Type] [varchar](50) NOT NULL,
[FileName] [varchar](100) NOT NULL,
[LineNo] [int] NOT NULL,
[UserName] [varchar](50) NOT NULL,
[Message] [varchar](max) NOT NULL,
I imagine the output could be like this if I want to show all rows with Type=TDBError:
Date Sum
2012-10-01 3
2012-10-02 12
2012-10-03 40
2012-10-05 24
2012-10-06 18
So at date 2012-10-01 there was 3 rows in DB where Type=TDBError. At date 2012-10-02 there was 12 etc.
How should I write the SQL for this ?
Assuming SQL Server 2008 or newer:
SELECT
[Date] = CONVERT(DATE, LogDate),
[Sum] = COUNT(*)
FROM dbo.Log_Table_Name
WHERE [Type] = 'DBError'
GROUP BY CONVERT(DATE, LogDate)
ORDER BY [Date];
GROUP BY DATEPART(day, date), DATEPART(month, date), DATEPART(year, date)
You can do a group by the parts of the time
GROUP BY date(log_date), month(log_date), day(log_date)
Select Cast(FLOOR(CAST(DATE as float)) as DateTime) as Date,COUNT(*) as [SUM]
from Log_Table_Name
Group by Cast(FLOOR(CAST(DATE as float)) as DateTime)
order by Cast(FLOOR(CAST(DATE as float)) as DateTime)

How could I "auto-rotate" appended records in SQL (1 goes to 2, 2 goes 3, 3 goes to 4, 4 goes back to 1)?

I'm working on a system (ASP.NET/MSSQL/C#) for scheduling restaurant employees.
The problem I'm having is I need to "auto-rotate" the shift "InTimes" every week.
The user needs to be able to copy one day's schedule to the same day next week with all the employee shift times rotated one slot.
For example, in the table below, Monica has the 10:30am shift this Monday, so she would have the 11:00am next week, and Adam would go from 12:00pm to 10:30am.
The time between shifts is not constant, nor is the number of employees on each shift.
Any ideas on how to do this (ideally with SQL statements) would be greatly appreciated.
Please keep in mind I'm a relative novice.
RecordID EmpType Date Day Meal ShiftOrder InTime EmployeeID
1 Server 29-Aug-11 Monday Lunch 1 10:30:00 AM Monica
2 Server 29-Aug-11 Monday Lunch 2 11:00:00 AM Sofia
3 Server 29-Aug-11 Monday Lunch 3 11:30:00 AM Jenny
4 Server 29-Aug-11 Monday Lunch 4 12:00:00 PM Adam
5 Server 29-Aug-11 Monday Dinner 1 4:30:00 PM Adam
6 Server 29-Aug-11 Monday Dinner 2 4:45:00 PM Jenny
7 Server 29-Aug-11 Monday Dinner 3 5:00:00 PM Shauna
8 Server 29-Aug-11 Monday Dinner 4 5:15:00 PM Sofia
10 Server 29-Aug-11 Monday Dinner 5 5:30:00 PM Monica
Somehow an employee would need to get his last (few) shifts
SELECT TOP 3 * FROM shift WHERE EmployeeID LIKE 'monica' ORDER BY [date] DESC
Next he/she would need to enter the time and date offset he would like to work next week, relative to a schedule before.
INSERT INTO shift SELECT
recordID
,[date]
,CASE [Intime]
WHEN [Intime] BETWEEN 00:00 AND 10:00 THEN 'Breakfast'
WHEN [Intime] BETWEEN 10:01 AND 04:29 THEN 'Lunch'
WHEN [Intime] BETWEEN 04:30 AND 23:59 THEN 'Dinner'
END as Meal
,No_idea_how_to_generate_this AS ShiftOrder
,[Intime]
,EmployeeID
FROM (SELECT
NULL as recordID
,DATEADD(DAY, 7+#dateoffset, ls.[date]) as [date]
,CAST(DATEADD(MINUTE, #timeoffset, ls.[time] AS TIME) as [Intime]
,EmployeeId
FROM Shift WHERE recordID = #recordID ) AS subselect
Here:
- #recordID is the record the employee choose as the starting point for the new appointment.
- #dateoffset is the number of days to add the the starting record
- #timeoffset is the number of minutes to add to the starting record
All the rest is determined by the row the user used as the starting point.
Here's what I came up with:
CREATE TABLE #tmp
(
[RecordID] INT ,
[EmpType] VARCHAR(20) ,
[Date] DATE ,
[Day] VARCHAR(10) ,
[Meal] VARCHAR(10) ,
[ShiftOrder] INT ,
[InTime] TIME ,
[EmployeeID] VARCHAR(50)
)
INSERT INTO [#tmp]
( [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
[InTime] ,
[EmployeeID]
)
VALUES (1,'Server','29-Aug-11','Monday','Lunch',1,'10:30:00 AM','Monica'),
(2,'Server','29-Aug-11','Monday','Lunch',2,'11:00:00 AM','Sofia'),
(3,'Server','29-Aug-11','Monday','Lunch',3,'11:30:00 AM','Jenny'),
(4,'Server','29-Aug-11','Monday','Lunch',4,'12:00:00 PM','Adam'),
(5,'Server','29-Aug-11','Monday','Dinner',1,'4:30:00 PM','Adam'),
(6,'Server','29-Aug-11','Monday','Dinner',2,'4:45:00 PM','Jenny'),
(7,'Server','29-Aug-11','Monday','Dinner',3,'5:00:00 PM','Shauna'),
(8,'Server','29-Aug-11','Monday','Dinner',4,'5:15:00 PM','Sofia'),
(10,'Server','29-Aug-11','Monday','Dinner',5,'5:30:00 PM','Monica');
WITH CountByShift AS (SELECT *, COUNT(1) OVER (PARTITION BY EmpType, [Day], [Meal]) AS [CountByShiftByDayByEmpType]
FROM [#tmp]
),
NewShiftOrder AS (
SELECT *, ([ShiftOrder] + 1) % [CountByShiftByDayByEmpType] AS [NewShiftOrder]
FROM [CountByShift]
)
SELECT [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
CASE WHEN [NewShiftOrder] = 0 THEN [CountByShiftByDayByEmpType] ELSE [NewShiftOrder] END AS [NewShiftOrder],
[InTime] ,
[EmployeeID]
FROM NewShiftOrder
ORDER BY [RecordID]
You need a table with all of the shifts in it:
create table dbo.Shifts (
[Day] varchar(9) not null,
Meal varchar(6) not null,
ShiftOrder integer not null,
InTime time not null,
constraint PK__dbo_Shifts primary key ([Day], Meal, ShiftOrder)
);
If that table is properly populated you can then run this to get a map of the current Day, Meal, ShiftOrder n-tuple to the next in that Day, Meal pair:
with numbers_per_shift as (
select [Day], Meal, max(ShiftOrder) as ShiftOrderCount
from dbo.Shifts s
group by [Day], Meal
)
select s.[Day], s.Meal, s.ShiftOrder,
s.ShiftOrder % n.ShiftOrderCount + 1 as NextShiftOrder
from dbo.Shifts as s
inner join numbers_per_shift as n
on s.[Day] = n.[Day]
and s.Meal = n.Meal;
For the table to be properly populated each of the shift orders would have to begin with one and increase by one with no skipping or repeating within a Day, Meal pair.
Borrowing most of the #tmp table definition from #Ben Thul, assuming you have an identity field, not assuming you are storing dates and times as dates and times...this should run well over and over, copying the latest date into the following week:
CREATE TABLE #tmp
(
[RecordID] INT ,
[EmpType] VARCHAR(20) ,
[Date] VARCHAR(9) ,
[Day] VARCHAR(10) ,
[Meal] VARCHAR(10) ,
[ShiftOrder] INT ,
[InTime] VARCHAR(11) ,
[EmployeeID] VARCHAR(50)
)
INSERT INTO [#tmp]
( [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
[InTime] ,
[EmployeeID]
)
VALUES (1,'Server','29-Aug-11','Monday','Lunch',1,'10:30:00 AM','Monica'),
(2,'Server','29-Aug-11','Monday','Lunch',2,'11:00:00 AM','Sofia'),
(3,'Server','29-Aug-11','Monday','Lunch',3,'11:30:00 AM','Jenny'),
(4,'Server','29-Aug-11','Monday','Lunch',4,'12:00:00 PM','Adam'),
(5,'Server','29-Aug-11','Monday','Dinner',1,' 4:30:00 PM','Adam'),
(6,'Server','29-Aug-11','Monday','Dinner',2,' 4:45:00 PM','Jenny'),
(7,'Server','29-Aug-11','Monday','Dinner',3,' 5:00:00 PM','Shauna'),
(8,'Server','29-Aug-11','Monday','Dinner',4,' 5:15:00 PM','Sofia'),
(10,'Server','29-Aug-11','Monday','Dinner',5,' 5:30:00 PM','Monica');
with
Shifts as (
select EmpType, [Day], Meal, ShiftOrder, InTime
from #tmp
where [Date] = (select max(cast([Date] as datetime)) from #tmp)
),
MaxShifts as (
select EmpType, [Day], Meal, max(ShiftOrder) as MaxShiftOrder
from #tmp
where [Date] = (select max(cast([Date] as datetime)) from #tmp)
group by EmpType, [Day], Meal
)
insert into #tmp (EmpType, [Date], [Day], Meal, ShiftOrder, InTime, EmployeeID)
select s.EmpType
, replace(convert(varchar(11), dateadd(dd, 7, cast(a.[Date] as datetime)), 6), ' ', '-') as [Date]
, s.Day
, s.Meal
, s.ShiftOrder
, s.InTime
, a.EmployeeID
from #tmp as a
join MaxShifts as m on a.EmpType = m.EmpType
and a.[Day] = m.[Day]
and a.Meal = m.Meal
join Shifts as s on a.EmpType = s.EmpType
and a.[Day] = s.[Day]
and a.Meal = s.Meal
and 1 + a.ShiftOrder % m.MaxShiftOrder = s.ShiftOrder
where a.[Date] = (select max(cast([Date] as datetime)) from #tmp)
I'm assuming that the schedule is really tied to a meal and weekday in a below answer.
Also I would like to note that ShiftOrder and Day columns should not be columns. Day is obviously determined by Date so it is a total waste of space (computed column OR determine it on the UI side) and ShiftOrder is determined by Date and InTime columns (probably easy to calculate in a query with RANK() function or on the UI side). That said it will make this query a bit easier :)
declare #dt date = cast('29-Aug-11' as date)
/* note: the date above may be passed from UI or it maybe calculated based on getdate() and dateadd function or s.t. like that */
INSERT INTO [table] (EmpType,Date,Day,Meal,ShiftOrder,InTime,EmployeeID)
SELECT t1.EmpType, dateadd(day, 7, t1.date), t1.day, t1.meal, t2.ShiftOrder, t2.InTime, t1.EmployeeID
FROM [table] t1
INNER JOIN [table] t2
ON (t1.Date = t2.Date
and t1.Meal = t2.Meal
and (
t1.ShiftOrder = t2.ShiftOrder + 1
or
(
t1.ShiftOrder = (select max(shiftOrder) from [table] where meal = t1.meal and date =t1.date)
and
t2.ShiftOrder = (select min(shiftOrder) from [table] where meal = t1.meal and date =t1.date)
)
)
)
WHERE t1.Date = #dt
This is a pretty straight-forward set-oriented problem. Aggregations (count(*) and max()) and lookup tables are unnecessary. You can do it with one SQL statement.
The first step (set) is to identity those employees who simply slide down in the schedule.
The next step (set) is to identity those employees who need to "wrap around" to the head of the schedule.
Here's what I came up with:
/* Set up the temp table for demo purposes */
DROP TABLE #tmp
CREATE TABLE #tmp
(
[RecordID] INT ,
[EmpType] VARCHAR(20) ,
[Date] DATE ,
[Day] VARCHAR(10) ,
[Meal] VARCHAR(10) ,
[ShiftOrder] INT ,
[InTime] TIME,
[EmployeeID] VARCHAR(50)
)
INSERT INTO [#tmp]
( [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
[InTime] ,
[EmployeeID]
)
VALUES (1,'Server','29-Aug-11','Monday','Lunch',1,'10:30:00 AM','Monica'),
(2,'Server','29-Aug-11','Monday','Lunch',2,'11:00:00 AM','Sofia'),
(3,'Server','29-Aug-11','Monday','Lunch',3,'11:30:00 AM','Jenny'),
(4,'Server','29-Aug-11','Monday','Lunch',4,'12:00:00 PM','Adam'),
(5,'Server','29-Aug-11','Monday','Dinner',1,' 4:30:00 PM','Adam'),
(6,'Server','29-Aug-11','Monday','Dinner',2,' 4:45:00 PM','Jenny'),
(7,'Server','29-Aug-11','Monday','Dinner',3,' 5:00:00 PM','Shauna'),
(8,'Server','29-Aug-11','Monday','Dinner',4,' 5:15:00 PM','Sofia'),
(10,'Server','29-Aug-11','Monday','Dinner',5,' 5:30:00 PM','Monica');
/* the "fills" CTE will find those employees who "wrap around" */
;WITH fills AS (
SELECT
[d2].[EmpType],
[d2].[Date],
[d2].[Day],
[d2].[Meal],
1 AS [ShiftOrder],
[d2].[InTime],
[d2].[EmployeeID]
FROM
[#tmp] d1
RIGHT OUTER JOIN
[#tmp] d2 ON
([d1].[Meal] = [d2].[Meal])
AND ([d1].[ShiftOrder] = [d2].[ShiftOrder] + 1)
WHERE
[d1].[EmployeeID] IS NULL
)
INSERT INTO [table] (EmpType,Date,Day,Meal,ShiftOrder,InTime,EmployeeID)
SELECT
[d1].[EmpType],
DATEADD(DAY, 7, [d1].[Date]) AS [Date],
DATENAME(dw,(DATEADD(DAY, 7, [d1].[Date]))) AS [Day],
[d1].[Meal],
[d1].[ShiftOrder],
[d1].[InTime],
ISNULL([d2].[EmployeeID], [f].[EmployeeID]) AS [EmployeeID]
FROM
[#tmp] d1
LEFT OUTER JOIN
[#tmp] d2 ON
([d1].[Meal] = [d2].[Meal]) AND ([d1].[ShiftOrder] = [d2].[ShiftOrder] + 1)
LEFT OUTER JOIN
[fills] f ON
([d1].[Meal] = [f].[Meal]) AND ([d1].[ShiftOrder] = [f].[ShiftOrder])
You can use a subquery (for a tutorial on subqueries, see http://www.databasejournal.com/features/mssql/article.php/3464481/Using-a-Subquery-in-a-T-SQL-Statement.htm) to get the last shift time.
After this, its trivial addition and modular division (in case you don't know what that is, have a look at this).
Hope this helped. I'm a bit tired right now, so I can't provide you with an example.
I'm a SQL programmer and DBA for 20 yrs now. With that said, business logic this complex should be in the C# part of the system. Then the TDD built application can handle the inevitable changes, and still be refactor-able and correct.
My recommendation is 'push-back'. Your response should be something along the lines of "This isn't just some look-up/fill-in the blank logic. This kind of complex business logic belongs in the App". It belongs in something that can be unit tested, and will be unit tested every time its changed.
The right answer sometimes is 'No', this is one of them.
How about using a Pivot Table for all employees and then adding shift timings as rows?? Order the names based on Shift for the initial Day.
Something like this..
Date_time Shift_Order Monica Sofia Jenny Adam Shauna
08/29/11 1 10:30AM 11:00AM 11:30AM 12:00PM NULL
08/29/11 2 5:30PM 5:15PM 4:45PM 4:30PM 5:00PM

Find conflicted date intervals using SQL

Suppose I have following table in Sql Server 2008:
ItemId StartDate EndDate
1 NULL 2011-01-15
2 2011-01-16 2011-01-25
3 2011-01-26 NULL
As you can see, this table has StartDate and EndDate columns. I want to validate data in these columns. Intervals cannot conflict with each other. So, the table above is valid, but the next table is invalid, becase first row has End Date greater than StartDate in the second row.
ItemId StartDate EndDate
1 NULL 2011-01-17
2 2011-01-16 2011-01-25
3 2011-01-26 NULL
NULL means infinity here.
Could you help me to write a script for data validation?
[The second task]
Thanks for the answers.
I have a complication. Let's assume, I have such table:
ItemId IntervalId StartDate EndDate
1 1 NULL 2011-01-15
2 1 2011-01-16 2011-01-25
3 1 2011-01-26 NULL
4 2 NULL 2011-01-17
5 2 2011-01-16 2011-01-25
6 2 2011-01-26 NULL
Here I want to validate intervals within a groups of IntervalId, but not within the whole table. So, Interval 1 will be valid, but Interval 2 will be invalid.
And also. Is it possible to add a constraint to the table in order to avoid such invalid records?
[Final Solution]
I created function to check if interval is conflicted:
CREATE FUNCTION [dbo].[fnIntervalConflict]
(
#intervalId INT,
#originalItemId INT,
#startDate DATETIME,
#endDate DATETIME
)
RETURNS BIT
AS
BEGIN
SET #startDate = ISNULL(#startDate,'1/1/1753 12:00:00 AM')
SET #endDate = ISNULL(#endDate,'12/31/9999 11:59:59 PM')
DECLARE #conflict BIT = 0
SELECT TOP 1 #conflict = 1
FROM Items
WHERE IntervalId = #intervalId
AND ItemId <> #originalItemId
AND (
(ISNULL(StartDate,'1/1/1753 12:00:00 AM') >= #startDate
AND ISNULL(StartDate,'1/1/1753 12:00:00 AM') <= #endDate)
OR (ISNULL(EndDate,'12/31/9999 11:59:59 PM') >= #startDate
AND ISNULL(EndDate,'12/31/9999 11:59:59 PM') <= #endDate)
)
RETURN #conflict
END
And then I added 2 constraints to my table:
ALTER TABLE dbo.Items ADD CONSTRAINT
CK_Items_Dates CHECK (StartDate IS NULL OR EndDate IS NULL OR StartDate <= EndDate)
GO
and
ALTER TABLE dbo.Items ADD CONSTRAINT
CK_Items_ValidInterval CHECK (([dbo].[fnIntervalConflict]([IntervalId], ItemId,[StartDate],[EndDate])=(0)))
GO
I know, the second constraint slows insert and update operations, but it is not very important for my application.
And also, now I can call function fnIntervalConflict from my application code before inserts and updates of data in the table.
Something like this should give you all overlaping periods
SELECT
*
FROM
mytable t1
JOIN mytable t2 ON t1.EndDate>t2.StartDate AND t1.StartDate < t2.StartDate
Edited for Adrians comment bellow
This will give you the rows that are incorrect.
Added ROW_NUMBER() as I didnt know if all entries where in order.
-- Testdata
declare #date datetime = '2011-01-17'
;with yourTable(itemID, startDate, endDate)
as
(
SELECT 1, NULL, #date
UNION ALL
SELECT 2, dateadd(day, -1, #date), DATEADD(day, 10, #date)
UNION ALL
SELECT 3, DATEADD(day, 60, #date), NULL
)
-- End testdata
,tmp
as
(
select *
,ROW_NUMBER() OVER(order by startDate) as rowno
from yourTable
)
select *
from tmp t1
left join tmp t2
on t1.rowno = t2.rowno - 1
where t1.endDate > t2.startDate
EDIT:
As for the updated question:
Just add a PARTITION BY clause to the ROW_NUMBER() query and alter the join.
-- Testdata
declare #date datetime = '2011-01-17'
;with yourTable(itemID, startDate, endDate, intervalID)
as
(
SELECT 1, NULL, #date, 1
UNION ALL
SELECT 2, dateadd(day, 1, #date), DATEADD(day, 10, #date),1
UNION ALL
SELECT 3, DATEADD(day, 60, #date), NULL, 1
UNION ALL
SELECT 4, NULL, #date, 2
UNION ALL
SELECT 5, dateadd(day, -1, #date), DATEADD(day, 10, #date),2
UNION ALL
SELECT 6, DATEADD(day, 60, #date), NULL, 2
)
-- End testdata
,tmp
as
(
select *
,ROW_NUMBER() OVER(partition by intervalID order by startDate) as rowno
from yourTable
)
select *
from tmp t1
left join tmp t2
on t1.rowno = t2.rowno - 1
and t1.intervalID = t2.intervalID
where t1.endDate > t2.startDate
declare #T table (ItemId int, IntervalID int, StartDate datetime, EndDate datetime)
insert into #T
select 1, 1, NULL, '2011-01-15' union all
select 2, 1, '2011-01-16', '2011-01-25' union all
select 3, 1, '2011-01-26', NULL union all
select 4, 2, NULL, '2011-01-17' union all
select 5, 2, '2011-01-16', '2011-01-25' union all
select 6, 2, '2011-01-26', NULL
select T1.*
from #T as T1
inner join #T as T2
on coalesce(T1.StartDate, '1753-01-01') < coalesce(T2.EndDate, '9999-12-31') and
coalesce(T1.EndDate, '9999-12-31') > coalesce(T2.StartDate, '1753-01-01') and
T1.IntervalID = T2.IntervalID and
T1.ItemId <> T2.ItemId
Result:
ItemId IntervalID StartDate EndDate
----------- ----------- ----------------------- -----------------------
5 2 2011-01-16 00:00:00.000 2011-01-25 00:00:00.000
4 2 NULL 2011-01-17 00:00:00.000
Not directly related to the OP, but since Adrian's expressed an interest. Here's a table than SQL Server maintains the integrity of, ensuring that only one valid value is present at any time. In this case, I'm dealing with a current/history table, but the example can be modified to work with future data also (although in that case, you can't have the indexed view, and you need to write the merge's directly, rather than maintaining through triggers).
In this particular case, I'm dealing with a link table that I want to track the history of. First, the tables that we're linking:
create table dbo.Clients (
ClientID int IDENTITY(1,1) not null,
Name varchar(50) not null,
/* Other columns */
constraint PK_Clients PRIMARY KEY (ClientID)
)
go
create table dbo.DataItems (
DataItemID int IDENTITY(1,1) not null,
Name varchar(50) not null,
/* Other columns */
constraint PK_DataItems PRIMARY KEY (DataItemID),
constraint UQ_DataItem_Names UNIQUE (Name)
)
go
Now, if we were building a normal table, we'd have the following (Don't run this one):
create table dbo.ClientAnswers (
ClientID int not null,
DataItemID int not null,
IntValue int not null,
Comment varchar(max) null,
constraint PK_ClientAnswers PRIMARY KEY (ClientID,DataItemID),
constraint FK_ClientAnswers_Clients FOREIGN KEY (ClientID) references dbo.Clients (ClientID),
constraint FK_ClientAnswers_DataItems FOREIGN KEY (DataItemID) references dbo.DataItems (DataItemID)
)
But, we want a table that can represent a complete history. In particular, we want to design the structure such that overlapping time periods can never appear in the database. We always know which record was valid at any particular time:
create table dbo.ClientAnswerHistories (
ClientID int not null,
DataItemID int not null,
IntValue int null,
Comment varchar(max) null,
/* Temporal columns */
Deleted bit not null,
ValidFrom datetime2 null,
ValidTo datetime2 null,
constraint UQ_ClientAnswerHistories_ValidFrom UNIQUE (ClientID,DataItemID,ValidFrom),
constraint UQ_ClientAnswerHistories_ValidTo UNIQUE (ClientID,DataItemID,ValidTo),
constraint CK_ClientAnswerHistories_NoTimeTravel CHECK (ValidFrom < ValidTo),
constraint FK_ClientAnswerHistories_Clients FOREIGN KEY (ClientID) references dbo.Clients (ClientID),
constraint FK_ClientAnswerHistories_DataItems FOREIGN KEY (DataItemID) references dbo.DataItems (DataItemID),
constraint FK_ClientAnswerHistories_Prev FOREIGN KEY (ClientID,DataItemID,ValidFrom)
references dbo.ClientAnswerHistories (ClientID,DataItemID,ValidTo),
constraint FK_ClientAnswerHistories_Next FOREIGN KEY (ClientID,DataItemID,ValidTo)
references dbo.ClientAnswerHistories (ClientID,DataItemID,ValidFrom),
constraint CK_ClientAnswerHistory_DeletionNull CHECK (
Deleted = 0 or
(
IntValue is null and
Comment is null
)),
constraint CK_ClientAnswerHistory_IntValueNotNull CHECK (Deleted=1 or IntValue is not null)
)
go
That's a lot of constraints. The only way to maintain this table is through merge statements (see examples below, and try to reason about why yourself). We're now going to build a view that mimics that ClientAnswers table defined above:
create view dbo.ClientAnswers
with schemabinding
as
select
ClientID,
DataItemID,
ISNULL(IntValue,0) as IntValue,
Comment
from
dbo.ClientAnswerHistories
where
Deleted = 0 and
ValidTo is null
go
create unique clustered index PK_ClientAnswers on dbo.ClientAnswers (ClientID,DataItemID)
go
And we have the PK constraint we originally wanted. We've also used ISNULL to reinstate the not null-ness of the IntValue column (even though the check constraints already guarantee this, SQL Server is unable to derive this information). If we're working with an ORM, we let it target ClientAnswers, and the history gets automatically built. Next, we can have a function that lets us look back in time:
create function dbo.ClientAnswers_At (
#At datetime2
)
returns table
with schemabinding
as
return (
select
ClientID,
DataItemID,
ISNULL(IntValue,0) as IntValue,
Comment
from
dbo.ClientAnswerHistories
where
Deleted = 0 and
(ValidFrom is null or ValidFrom <= #At) and
(ValidTo is null or ValidTo > #At)
)
go
And finally, we need the triggers on ClientAnswers that build this history. We need to use merge statements, since we need to simultaneously insert new rows, and update the previous "valid" row to end date it with a new ValidTo value.
create trigger T_ClientAnswers_I
on dbo.ClientAnswers
instead of insert
as
set nocount on
;with Dup as (
select i.ClientID,i.DataItemID,i.IntValue,i.Comment,CASE WHEN cah.ClientID is not null THEN 1 ELSE 0 END as PrevDeleted,t.Dupl
from
inserted i
left join
dbo.ClientAnswerHistories cah
on
i.ClientID = cah.ClientID and
i.DataItemID = cah.DataItemID and
cah.ValidTo is null and
cah.Deleted = 1
cross join
(select 0 union all select 1) t(Dupl)
)
merge into dbo.ClientAnswerHistories cah
using Dup on cah.ClientID = Dup.ClientID and cah.DataItemID = Dup.DataItemID and cah.ValidTo is null and Dup.Dupl = 0 and Dup.PrevDeleted = 1
when matched then update set ValidTo = SYSDATETIME()
when not matched and Dup.Dupl=1 then insert (ClientID,DataItemID,IntValue,Comment,Deleted,ValidFrom)
values (Dup.ClientID,Dup.DataItemID,Dup.IntValue,Dup.Comment,0,CASE WHEN Dup.PrevDeleted=1 THEN SYSDATETIME() END);
go
create trigger T_ClientAnswers_U
on dbo.ClientAnswers
instead of update
as
set nocount on
;with Dup as (
select i.ClientID,i.DataItemID,i.IntValue,i.Comment,t.Dupl
from
inserted i
cross join
(select 0 union all select 1) t(Dupl)
)
merge into dbo.ClientAnswerHistories cah
using Dup on cah.ClientID = Dup.ClientID and cah.DataItemID = Dup.DataItemID and cah.ValidTo is null and Dup.Dupl = 0
when matched then update set ValidTo = SYSDATETIME()
when not matched then insert (ClientID,DataItemID,IntValue,Comment,Deleted,ValidFrom)
values (Dup.ClientID,Dup.DataItemID,Dup.IntValue,Dup.Comment,0,SYSDATETIME());
go
create trigger T_ClientAnswers_D
on dbo.ClientAnswers
instead of delete
as
set nocount on
;with Dup as (
select d.ClientID,d.DataItemID,t.Dupl
from
deleted d
cross join
(select 0 union all select 1) t(Dupl)
)
merge into dbo.ClientAnswerHistories cah
using Dup on cah.ClientID = Dup.ClientID and cah.DataItemID = Dup.DataItemID and cah.ValidTo is null and Dup.Dupl = 0
when matched then update set ValidTo = SYSDATETIME()
when not matched then insert (ClientID,DataItemID,Deleted,ValidFrom)
values (Dup.ClientID,Dup.DataItemID,1,SYSDATETIME());
go
Obviously, I could have built a simpler table (not a join table), but this is my standard go-to example (albeit it took me a while to reconstruct it - I forgot the set nocount on statements for a while). But the strength here is that, the base table, ClientAnswerHistories is incapable of storing overlapping time ranges for the same ClientID and DataItemID values.
Things get more complex when you need to deal with temporal foreign keys.
Of course, if you don't want any real gaps, then you can remove the Deleted column (and associated checks), make the not null columns really not null, modify the insert trigger to do a plain insert, and make the delete trigger raise an error instead.
I've always taken a slightly different approach to the design if I have data that is never to have overlapping intervals... namely don't store intervals, but only start times. Then, have a view that helps with displaying the intervals.
CREATE TABLE intervalStarts
(
ItemId int,
IntervalId int,
StartDate datetime
)
CREATE VIEW intervals
AS
with cte as (
select ItemId, IntervalId, StartDate,
row_number() over(partition by IntervalId order by isnull(StartDate,'1753-01-01')) row
from intervalStarts
)
select c1.ItemId, c1.IntervalId, c1.StartDate,
dateadd(dd,-1,c2.StartDate) as 'EndDate'
from cte c1
left join cte c2 on c1.IntervalId=c2.IntervalId
and c1.row=c2.row-1
So, sample data might look like:
INSERT INTO intervalStarts
select 1, 1, null union
select 2, 1, '2011-01-16' union
select 3, 1, '2011-01-26' union
select 4, 2, null union
select 5, 2, '2011-01-26' union
select 6, 2, '2011-01-14'
and a simple SELECT * FROM intervals yields:
ItemId | IntervalId | StartDate | EndDate
1 | 1 | null | 2011-01-15
2 | 1 | 2011-01-16 | 2011-01-25
3 | 1 | 2011-01-26 | null
4 | 2 | null | 2011-01-13
6 | 2 | 2011-01-14 | 2011-01-25
5 | 2 | 2011-01-26 | null