I have the below data set, which is reporting employee hours for each day, and each day has a week number (1 or 2) as running for two weeks.
SiteId SiteName EmployeeId FirstName SurName Date WorkedHours WorkedMinutes WeekNo
4 Test 7 Steve Stone 2014-03-01 4.5 270 1
4 Test 7 Steve Stone 2014-03-02 9 540 1
4 Test 7 Steve Stone 2014-03-03 4.5 270 1
4 Test 7 Steve Stone 2014-03-08 4.5 270 2
4 Test 7 Steve Stone 2014-03-09 9 540 2
4 Test 7 Steve Stone 2014-03-10 4.5 270 2
I would like to add a sub total of workedhours and workedminutes for each employee for each week. So the desired outcome would have a row at the end of each section of weeks for the sub total, which would give a total for week 1 and then again for week 2
If you are using SQL Server 2008 or above you should take a look at GROUPING SETS. They are much faster than Rollup. Its an awesome feature to do such tasks.
I recently implemented similar logic
select EmpId, Year, FaciLeaveType, Month, DateValue , Sum(Leaves)
FROM EmplLeave
GROUP BY
GROUPING SETS(
( EmpId,Year,FaciLeaveType,Month,DateValue )
,( EmpId,Year,FaciLeaveType,Month )
,( EmpId,Year,FaciLeaveType )
)
https://technet.microsoft.com/en-us/library/bb522495(v=sql.105).aspx
Rollup was the best way forward
Here.
Related
I need to show the number of valid inspectors we have by month over the last five years. Inspectors are considered valid when the expiration date on their certification has not yet passed, recorded as the month end date. The below SQL code is text of the query to count valid inspectors for January 2017:
SELECT Count(*) AS RecordCount
FROM dbo_Insp_Type
WHERE (dbo_Insp_Type.CERT_EXP_DTE)>=#2/1/2017#);
Rather than designing 60 queries, one for each month, and compiling the results in a final table (or, err, query) are there other methods I can use that call for less manual input?
From this sample:
Id
CERT_EXP_DTE
1
2022-01-15
2
2022-01-23
3
2022-02-01
4
2022-02-03
5
2022-05-01
6
2022-06-06
7
2022-06-07
8
2022-07-21
9
2022-02-20
10
2021-11-05
11
2021-12-01
12
2021-12-24
this single query:
SELECT
Format([CERT_EXP_DTE],"yyyy/mm") AS YearMonth,
Count(*) AS AllInspectors,
Sum(Abs([CERT_EXP_DTE] >= DateSerial(Year([CERT_EXP_DTE]), Month([CERT_EXP_DTE]), 2))) AS ValidInspectors
FROM
dbo_Insp_Type
GROUP BY
Format([CERT_EXP_DTE],"yyyy/mm");
will return:
YearMonth
AllInspectors
ValidInspectors
2021-11
1
1
2021-12
2
1
2022-01
2
2
2022-02
3
2
2022-05
1
0
2022-06
2
2
2022-07
1
1
ID
Cert_Iss_Dte
Cert_Exp_Dte
1
1/15/2020
1/15/2022
2
1/23/2020
1/23/2022
3
2/1/2020
2/1/2022
4
2/3/2020
2/3/2022
5
5/1/2020
5/1/2022
6
6/6/2020
6/6/2022
7
6/7/2020
6/7/2022
8
7/21/2020
7/21/2022
9
2/20/2020
2/20/2022
10
11/5/2021
11/5/2023
11
12/1/2021
12/1/2023
12
12/24/2021
12/24/2023
A UNION query could calculate a record for each of 50 months but since you want 60, UNION is out.
Or a query with 60 calculated fields using IIf() and Count() referencing a textbox on form for start date:
SELECT Count(IIf(CERT_EXP_DTE>=Forms!formname!tbxDate,1,Null)) AS Dt1,
Count(IIf(CERT_EXP_DTE>=DateAdd("m",1,Forms!formname!tbxDate),1,Null) AS Dt2,
...
FROM dbo_Insp_Type
Using the above data, following is output for Feb and Mar 2022. I did a test with Cert_Iss_Dte included in criteria and it did not make a difference for this sample data.
Dt1
Dt2
10
8
Or a report with 60 textboxes and each calls a DCount() expression with criteria same as used in query.
Or a VBA procedure that writes data to a 'temp' table.
I need help with grouping overlapping date-ranges in Microsoft SQL Server 18.1. A sample of the data looks like this. I need to be able to group based on ID, Name, StartDate and EndDate. This should be done so, that if a ID 1's date-range overlaps or is less than 7 days apart from the next row of ID 1's date range, they should be assigned the same grouping ID. If the timegap between two lines is bigger than 7 days, they should be seperated as two groupings.
The data is characterized by having differing Start- and EndDate for almost all of the rows, so it cannot be grouped by Start- and EndDate. Instead the goal is to group all rows for one person where the rows date-ranges overlap with less than 7 days, and show the Start- and EndDate for the full period by using MIN and MAX as shown in the "desired output window". Each Person in the dataset can have up to 200 lines of differing date-ranges that need to be grouped if it overlaps with other date-ranges for the person in the dataset.
I suppose the solution requires running through all rows until all rows are grouped based on ID, Name and overlapping date ranges. The case is that match-grouping for period 1-4, firstly requires period 1 to be matched with period 2, then period 1-2 needs to be matched to period 3, and period 1-3 to be matched with period 4. It can be the case that Period 1's date-range (e.g. 01-01-2019 - 30-05-2019) ends later than period 2's (e.g. 05-02-2019 - 24-04-2019), where the period 1-2 comparison/match to period 3 should be the MAX EndDate for period 1-2 meaning 30-05-2019 in this case.
Period 1 Period 2 Period 3 Period 4
X
X
X
X
I need help with making a code that gets me from step 0 - Raw Data to step 1 - Grouping by overlapping date-ranges (less than 7 days apart). I have tried CASE, LAG, LEAD, PARTITION BY and some different kind of loops but haven't found a solution on how to solve the problem.
Step 0 - Raw Data:
ID Name StartDate EndDate
1 Peter Hanson 01-01-2018 15-02-2019
1 Peter Hanson 05-01-2019 23-02-2019
1 Peter Hanson 30-02-2019 18-04-2019
2 Eric Schmidt 05-01-2019 18-03-2019
2 Eric Schmidt 07-01-2019 25-05-2019
3 Martin Boyle 08-03-2018 12-01-2019
3 Martin Boyle 15-01-2019 17-04-2019
3 Martin Boyle 18-04-2019 12-05-2019
3 Martin Boyle 29-04-2019 31-09-2019
Step 1- Grouping by overlapping date-ranges (less than 7 days apart):
ID Name StartDate EndDate Grouping
1 Peter Hanson 01-01-2018 15-02-2019 1
1 Peter Hanson 05-01-2019 23-02-2019 1
1 Peter Hanson 30-02-2019 18-04-2019 2
2 Eric Schmidt 05-01-2019 18-03-2019 3
2 Eric Schmidt 07-01-2019 25-05-2019 3
3 Martin Boyle 08-03-2018 12-01-2019 4
3 Martin Boyle 23-01-2019 17-04-2019 5
3 Martin Boyle 18-04-2019 12-05-2019 5
3 Martin Boyle 29-04-2019 31-09-2019 5
Step 2 - Desired Output window:
ID Name StartDate EndDate Grouping
1 Peter Hanson 01-01-2019 23-02-2019 1
1 Peter Hanson 30-02-2019 18-04-2019 2
2 Eric Schmidt 05-01-2019 25-05-2019 3
3 Martin Boyle 08-03-2018 12-01-2019 4
3 Martin Boyle 23-01-2019 31-09-2019 5
I hope that somebody can help with this task.
You want to identify where a group starts. Based on your description, you can use lag() -- although it total overlaps are allowed then a cumulative max() is more appropriate.
Then, the groups are the cumulative sum of the starts . . . and the rest is aggregation:
select id, name, min(startdate), max(enddate),
dense_rank() over (order by id, min(startdate)) as grouping
from (select t.*,
sum(case when prev_enddate >= dateadd(day, -7, startdate) then 0 else 1 end /*end*/
) over (partition by id order by startdate) as grp
from (select t.*,
lag(enddate) over (partition by id order by startdate) as prev_enddate
from t
) t
) t
group by id, name;
I'm working in iMIS CMS (iMIS 200) and trying to create an IQA (an iMIS query, using SQL) that will give me a timetable of slots assigned to people per day (I've got this working); but then I want to be able to filter that timetable on a person's profile so they just see the slots they are assigned to.
(This is for auditions for an orchestra. So people make an application per instrument, then those applications are assigned to audition slots, of which there are several slots per day)
As the start/end times for slots are calculated using SUM OVER, when I filter this query by the person ID, I lose the correct start/end times for slots (as the other slots aren't in the data for it to SUM, I guess!)
Table structure:
tblContacts
===========
ContactID ContactName
---------------------------
1 Steve Jones
2 Clare Philips
3 Bob Smith
4 Helen Winters
5 Graham North
6 Sarah Stuart
tblApplications
===============
AppID FKContactID Instrument
-----------------------------------
1 1 Violin
2 1 Viola
3 2 Cello
4 3 Cello
5 4 Trumpet
6 5 Clarinet
7 5 Horn
8 6 Trumpet
tblAuditionDays
===============
AudDayID AudDayDate AudDayVenue AudDayStart
-------------------------------------------------
1 16-Sep-19 London 10:00
2 17-Sep-19 Manchester 10:00
3 18-Sep-19 Birmingham 13:30
4 19-Sep-19 Leeds 10:00
5 19-Sep-19 Glasgow 11:30
tblAuditionSlots
================
SlotID FKAudDayID SlotOrder SlotType SlotDuration FKAppID
-----------------------------------------------------------------
1 1 1 Audition 20 3
2 1 2 Audition 20 4
3 1 3 Chat 10 3
4 1 5 Chat 10 4
5 1 4 Audition 20
6 2 1 Audition 20 1
7 2 2 Audition 20 6
8 2 4 Chat 10 6
9 2 3 Chat 10 1
10 2 5 Audition 20
11 3 2 Chat 10 8
12 3 1 Audition 20 2
13 3 4 Chat 5 2
14 3 3 Audition 20 8
15 5 1 Audition 30 5
16 5 2 Audition 30 7
17 5 3 Chat 15 7
18 5 4 Chat 15 5
Current SQL for listing all the slots each day (in date/slot order, with the slot timings calculcated correctly) is:
SELECT
[tblAuditionSlots].[SlotOrder] as [Order],
CASE
WHEN
SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING) is null
THEN
CONVERT(VARCHAR(5), [tblAuditionDays].[AudDayStart], 108)
ELSE
CONVERT(VARCHAR(5), Dateadd(minute, SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING), [tblAuditionDays].[AudDayStart]), 108)
END
+ ' - ' +
CASE
WHEN
SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) is null
THEN
CONVERT(VARCHAR(5), [tblAuditionDays].[AudDayStart], 108)
ELSE
CONVERT(VARCHAR(5), Dateadd(minute, SUM([tblAuditionSlots].[SlotDuration]) OVER (PARTITION BY [tblAuditionDays].[FKAudDayID] ORDER BY [tblAuditionSlots].[SlotOrder] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW), [tblAuditionDays].[AudDayStart]), 108)
END AS [Slot],
[tblAuditionSlots].[SlotType] AS [Type],
[tblContacts].[ContactName] as [Name],
FROM
tblAuditionSlots
LEFT JOIN tblAuditionDays ON tblAuditionSlots.FKAudDayID = tblAuditionDays.AudDayID
LEFT JOIN tblApplications ON tblAuditionSlots.FKAppID = tblApplications.AppID
LEFT JOIN tblContacts ON tblApplications.FKContactID = tblContacts.ContactID
GROUP BY
[tblAuditionSlots].[SlotOrder],
[tblAuditionSlots].[SlotType],
[tblAuditionSlots].[SlotDuration],
[tblAuditionDays].[AudDayStart],
[tblContacts].[ContactName],
[tblContacts].[ContactID],
[tblAuditionDays].[AudDayID],
[tblAuditionDays].[AudDayDate]
ORDER BY
[tblAuditionDays].[DayDate],
[tblAuditionSlots].[Order]
iMIS, the CMS we're using, is limited by what you can create in an IQA (query).
You can basically insert (some) SQL as a column and give it an alias; you can add (non-calculated) fields to the order by; you can't really control the Group By (whatever fields are added are included in the Group By).
Ultimately, I'd like to be able to filter this by a Contact ID so I can see all their audition slots, but with the times correctly calculated.
From the sample data, for example:
STEVE JONES AUDITIONS
=====================
Date Slot Venue Type Instrument
----------------------------------------------------------------
17-Sep-19 10:00 - 10:20 Manchester Audition Violin
17-Sep-19 10:40 - 10:50 Manchester Chat Violin
18-Sep-19 13:30 - 13:50 Birmingham Audition Viola
18-Sep-19 14:30 - 14:35 Birmingham Chat Viola
HELEN WINTERS AUDITIONS
=======================
Date Slot Venue Type Instrument
----------------------------------------------------------------
19-Sep-19 11:30 - 12:00 Glasgow Audition Trumpet
19-Sep-19 12:45 - 13:00 Glasgow Chat Trumpet
Hopefully that all makes sense and I've provided enough information.
(In this version of iMIS [200], you can't do subqueries, in case that comes up...)
Thanks so much in advance for whatever help/tips/advice you can offer!
Chris
I tried max to provide in table format but it seem not good in StackOver, so attaching snapshot of the 2 tables. Apologize about the formatting.
SQL Server 2012
**MS Table**
**mId tdId name dueDate**
1 1 **forecastedDate** 1/1/2015
2 1 **hypercareDate** 11/30/2016
3 1 LOE 1 7/4/2016
4 1 LOE 2 7/4/2016
5 1 demo for yy test 10/15/2016
6 1 Implementation – testing 7/4/2016
7 1 Phased Rollout – final 7/4/2016
8 2 forecastedDate 1/7/2016
9 2 hypercareDate 11/12/2016
10 2 domain - Forte NULL
11 2 Fortis completion 1/1/2016
12 2 Certification NULL
13 2 Implementation 7/4/2016
-----------------------------------------------
**MSRevised**
**mId revisedDate**
1 1/5/2015
1 1/8/2015
3 3/25/2017
2 2/1/2016
2 12/30/2016
3 4/28/2016
4 4/28/2016
5 10/1/2016
6 7/28/2016
7 7/28/2016
8 4/28/2016
9 8/4/2016
9 5/28/2016
11 10/4/2016
11 10/5/2016
13 11/1/2016
----------------------------------------
The required output is
1. Will be passing the 'tId' number, for instance 1, lets call it tid (1)
2. Want to compare tId (1)'s all milestones (except hypercareDate) with tid(1)'s forecastedDate milestone
3. return if any of the milestone date (other than hypercareDate) is greater than the forecastedDate
The above 3 steps are simple, but I have to first compare the milestones date with its corresponding revised dates, if any, from the revised table, and pick the max date among all that needs to be compared with the forecastedDate
I managed to solve this. Posting the answer, hope it helps aomebody.
//Insert the result into temp table
INSERT INTO #mstab
SELECT [mId]
, [tId]
, [msDate]
FROM [dbo].[MS]
WHERE ([msName] NOT LIKE 'forecastedDate' AND [msName] NOT LIKE 'hypercareDate'))
// this scalar function will get max date between forecasted duedate and forecasted revised date
SELECT #maxForecastedDate = [dbo].[fnGetMaxDate] ( 'forecastedDate');
// this will get the max date from temp table and compare it with forecasatedDate/
SET #maxmilestoneDate = (SELECT MAX(maxDate)
FROM ( SELECT ms.msDueDate AS dueDate
, mr.msRevisedDate AS revDate
FROM #mstab as ms
LEFT JOIN [MSRev] as mr on ms.msId = mr.msId
) maxDate
UNPIVOT (maxDate FOR DateCols IN (dueDate, revDate))up );
I have database table that I am after some SQL for (Which is defeating me so far!)
Imagine there are 192 Athletic Clubs who all take part in 12 Track Meets per season.
So that is 2304 individual performances per season (for example in the 100Metres)
I would like to find the top 48 (unique) individual performances from the table, these 48 athletes are then going to take part in the end of season World Championships.
So imagine the 2 fastest times are both set by "John Smith", but he can only be entered once in the world champs. So i would then look for the next fastest time not set by "John Smith"... so on and so until I have 48 unique athletes..
hope that makes sense.
thanks in advance if anyone can help
PS
I did have a nice screen shot created that would explain it much better. but as a newish user i cannot post images.
I'll try a copy and paste version instead...
ID AthleteName AthleteID Time
1 Josh Lewis 3 11.99
2 Joe Dundee 4 11.31
3 Mark Danes 5 13.44
4 Josh Lewis 3 13.12
5 John Smith 1 11.12
6 John Smith 1 12.18
7 John Smith 1 11.22
8 Adam Bennett 6 11.33
9 Ronny Bower 7 12.88
10 John Smith 1 13.49
11 Adam Bennett 6 12.55
12 Mark Danes 5 12.12
13 Carl Tompkins 2 13.11
14 Joe Dundee 4 11.28
15 Ronny Bower 7 12.14
16 Carl Tompkin 2 11.88
17 Nigel Downs 8 14.14
18 Nigel Downs 8 12.19
Top 4 unique individual performances
1 John Smith 1 11.12
3 Joe Dundee 4 11.28
5 Adam Bennett 6 11.33
6 Carl Tompkins 2 11.88
Basically something like this:
select top 48 *
from (
select athleteId,min(time) as bestTime
from theRaces
where raceId = '123' -- e.g., 123=100 meters
group by athleteId
) x
order by bestTime
try this --
select x.ID, x.AthleteName , x.AthleteID , x.Time
(
select rownum tr_count,v.AthleteID AthleteID, v.AthleteName AthleteName, v.Time Time,v.id id
from
(
select
tr1.AthleteName AthleteName, tr1.Time time,min(tr1.id) id, tr1.AthleteID AthleteID
from theRaces tr1
where time =
(select min(time) from theRaces tr2 where tr2.athleteId = tr1.athleteId)
group by tr1.AthleteName, tr1.AthleteID, tr1.Time
having tr1.Time = ( select min(tr2.time) from theRaces tr2 where tr1.AthleteID =tr2.AthleteID)
order by tr1.time
) v
) x
where x.tr_count < 48