Each staff already has a table of avail time slots in AvailSlots like this:
Staff_ID Avail_Slots_Datetime
1 2015-1-1 09:00:00
1 2015-1-1 10:00:00
1 2015-1-1 11:00:00
2 2015-1-1 09:00:00
2 2015-1-1 10:00:00
2 2015-1-1 11:00:00
3 2015-1-1 09:00:00
3 2015-1-1 12:00:00
3 2015-1-1 15:00:00
I need to find out which staff has, for example, 2 (or 3, 4, etc) CONSECUTIVE avail time slots at each time slot. As a novice, the INNER JOIN codes below is all I know to write if the query is for 2 consecutive time slots.
SELECT a.start_time, a.person
FROM a_free a, a_free b
WHERE (b.start_time = addtime( a.start_time, '01:00:00' )) and (a.person = b.person)
But, obviously, doing it that way, I would have to add more INNER JOIN codes - for each case - depending on whether the query is for 3, or 4, or 5 , etc consecutive available time slots at a given date/hour. Therefore, I want to learn a more efficient and flexible way to do the same. Specifically, the query code I need (in natural language) would be this:
For each time slot in AvailSlots, list one staff that has X (where X can
be any number I specify per query, from 1 to 24) consecutive datetime
slot starting from that datetime. In case more than one staff can meet
that criteria, the tie break is their "rank" which is kept in a
separate table below:
Ranking Table (lower number = higher rank)
Staff_ID Rank
1 3
2 1
3 2
If the answer is to use things like "mysql variables", "views", etc, please kindly explain how those things work. Again, as a total mysql novice, "select", "join", "where", "group by" are all I know so far. I am eager to learn more but have trouble understanding more advanced mysql concepts so far. Many thanks in advance.
Using a bit more data than you posted, I found a query that might do what you need. It does use the variables as you predicted :) but I hope it's pretty self-explanatory. Let's start with the table:
CREATE TABLE a_free
(`Staff_ID` int, `Avail_Slots_Datetime` datetime)
;
INSERT INTO a_free
(`Staff_ID`, `Avail_Slots_Datetime`)
VALUES
(1, '2015-01-01 09:00:00'),
(1, '2015-01-01 10:00:00'),
(1, '2015-01-01 11:00:00'),
(1, '2015-01-01 13:00:00'),
(2, '2015-01-01 09:00:00'),
(2, '2015-01-01 10:00:00'),
(2, '2015-01-01 11:00:00'),
(3, '2015-01-01 09:00:00'),
(3, '2015-01-01 12:00:00'),
(3, '2015-01-01 15:00:00'),
(3, '2015-01-01 16:00:00'),
(3, '2015-01-01 17:00:00'),
(3, '2015-01-01 18:00:00')
;
Then there's a query to find the consecutive slots. It lists start times of each pair, and marks each group of consecutive slots with a unique number. The case expression is where the magic happens, see the comments:
select
Staff_ID,
Avail_Slots_Datetime as slot_start,
case
when #slot_group is null then #slot_group:=0 -- initalize the variable
when #prev_end <> Avail_Slots_Datetime then #slot_group:=#slot_group+1 -- iterate if previous slot end does not match current one's start
else #slot_group -- otherwise just just keep the value
end as slot_group,
#prev_end:= Avail_Slots_Datetime + interval 1 hour as slot_end -- store the current slot end to compare with next row
from a_free
order by Staff_ID, Avail_Slots_Datetime asc;
Having the list with slot groups identified, we can wrap the query above in another one to get the lengths of each slot group. The results of the first query are treated as any other table:
select
Staff_ID,
slot_group,
min(slot_start) as group_start,
max(slot_end) as group_end,
count(*) as group_length
from (
select
Staff_ID,
Avail_Slots_Datetime as slot_start,
case
when #slot_group is null then #slot_group:=0
when #prev_end <> Avail_Slots_Datetime then #slot_group:=#slot_group+1
else #slot_group
end as slot_group,
#prev_end:= Avail_Slots_Datetime + interval 1 hour as slot_end
from a_free
order by Staff_ID, Avail_Slots_Datetime asc
) groups
group by Staff_ID, slot_group;
Note: if you use the same DB connection to execute the query again, the variables would not be reset, so the slot_groups numbering will continue to grow. This normally should not be a problem, but to be on the safe side, you need to execute something like this before or after:
select #prev_end:=null;
Play with the fiddle if you like: http://sqlfiddle.com/#!2/0446c8/15
Related
please find below the sample database:
CREATE TABLE ipay
(Ticket int(11) Primary Key,Login int(11), Profit double, opentime datetime);
INSERT INTO ipay
(Ticket,Login,Profit,opentime)
VALUES
(1,100,100,'2020-01-01 00:00:00'),
(2,100,100,'2020-02-01 00:00:00'),
(3,100,-200,'2019-01-01 00:00:00'),
(4,100,-50,'2020-01-02 00:00:00'),
(5,101,200,'2020-02-02 00:00:00'),
(6,101,200,'2020-03-02 00:00:00'),
(7,101,-10,'2020-04-02 00:00:00'),
(8,101,-200,'2020-05-02 00:00:00')
When Profit> 0, you can think the record as a deposit; when Profit<0, you can think the record as a withdrawal.
I need to get all withdrawals that happened after the first deposit, for each individual login. So that the expected output would be:
Ticket
Login
Profit
opentime
4
100
-50
2020-01-02 00:00:00
7
101
-10
2020-04-02 00:00:00
8
101
-200
2020-05-02 00:00:00
(For login 100, Ticket 3 is filtered out as it was made before Ticket 1;
For login 101, both Ticket 7 and 8 are included, since both were made after Ticket 5)
I have managed to identify the time when the first deposit was made:
SELECT LOGIN, TICKET, PROFIT, SUM(PROFIT), MIN(OPENTIME)
FROM ipay
WHERE PROFIT>0
GROUP BY LOGIN
I am stuck as there are more than one MIN(opentime).
I'm currently using MySQL version 5.7.34. Please do not hesitate to let me know if any clarification is needed. Any ideas would be much appreciated!
please try this
select * from ipay as a left join
(select login,min(opentime) as firsttime
from ipay where profit>0
group by login
order by opentime) as b
on a.login=b.login
where a.opentime>firsttime and profit<0
see in action here :sqlfiddle
This table is a "heartbeat" tracking event where one row is genereated each minute for each streamer while that streamer is live. If a streamer is live for 60 minutes, 60 rows would be generated in this table
Create Table minute_streamed
(
time_minute datetime ,
username varchar(50) ,
category varchar(50) ,
concurrent_viewers int
)
Insert into minute_streamed values ('2020-03-18 12:00:00', 'alex','Fornite',125) ;
Insert into minute_streamed values ('2020-03-18 12:01:00', 'alex','Fornite',130) ;
Insert into minute_streamed values ('2020-03-19 15:30:00', 'jamie','Just Chatting',13) ;
Insert into minute_streamed values ('2020-03-19 15:31:00', 'jamie','Food & Drink',15) ;
Insert into minute_streamed values ('2020-03-20 10:30:00', 'rick','Call of Duty: Black Ops',150) ;
Insert into minute_streamed values ('2020-03-20 10:31:00', 'rick','Call of Duty: Modern Warfare',120) ;
Insert into minute_streamed values ('2020-04-21 09:30:00', 'rick','Fornite',120) ;
Insert into minute_streamed values ('2020-04-20 10:31:00', 'rick','Call of Duty: Modern Warfare',120) ;
Insert into minute_streamed values ('2020-04-21 09:30:00', 'rick','Fornite',120) ;
Insert into minute_streamed values ('2020-04-20 10:31:00', 'jamie','Call of Duty: Modern Warfare',120) ;
Insert into minute_streamed values ('2020-04-21 09:30:00', 'jamie','Fornite',120) ;
Insert into minute_streamed values ('2020-04-18 12:00:00', 'alex','Fornite',125) ;
Insert into minute_streamed values ('2020-04-18 12:01:00', 'alex','Fornite',130) ;
Insert into minute_streamed values ('2020-06-18 14:00:00', 'alex','Fornite',120) ;
Alex has two entries in March. That means he streamed for 2 minutes. So, his hourly streamed for March will be 2/60.
I am trying to write a query: For each calendar month, output the list of streamers, who increased their hours streamed from the previous calendar month
For example, Alex has two entries for March, two entries for April, and one entry for June. So he streamed 2 minutes in March (because he has two entries), 2 minutes in April and 1 minute in June. I want to compare his last month, which is June and the previous calendar month. In this case, the previous calendar month is May, which Alex did not stream. So I need to say that he did not stream in May and he streamed in June. So, he increased his streaming compare to the previous calendar month
This my code below, but I want to compare the current streaming hour with the previous calendar month. Can you please help modify my query?
select
*
from(
select
*
,lag(total_monthly_hours,1) over(partition by username order by year,month) as prev_month
from(
select
username
,year(time_minute) as year
,month(time_minute) as month
,count(*)/60 as total_monthly_hours
from minute_streamed
group by year(time_minute), month(time_minute), username
order by month(time_minute) desc ) as temp ) as temp2
where total_monthly_hours > prev_month
If I understand correctly, you want to compare both the previous value and the previous time period. One way to do this is to calculate a "number of months" by multiplying the year by 12 and adding in the month number. Then you can see if the lag() is getting the value from the previous row:
select uym.*
from (select uym.*,
lag(total_monthly_hours) over (partition by username order by year, month) as prev_total_monthly_hours,
lag(month_cnt) over (partition by username order by year, month) as prev_month_cnt
from (select username,
year(time_minute) as year,
month(time_minute) as month,
year(time_minute) * 12 + month(time_minute) as month_cnt,
count(*)/60 as total_monthly_hours
from minute_streamed
group by year(time_minute), month(time_minute), username, month_cnt
) uym
) uym
where prev_month_cnt is null or
prev_month_cnt <> month_cnt - 1 or
(prev_month_cnt = month_cnt - 1 and prev_total_monthly_hours < total_monthly_hours);
Here is a db<>fiddle.
I am developing a employee login system in which user check in and checkout timings are recorder. I have the following mySql table schema from which I would like to query the total working hours of an employee of a particular month.
AttendanceId UserId Operation CreatedDate
24 4 1 2016-03-20 23:18:59
25 4 2 2016-03-20 23:19:50
26 4 1 2016-03-20 23:20:28
27 4 2 2016-03-20 23:20:31
Operation 1 is for check in and operation 2 is for checkout. Can any one help me to build this query?
A pleasingly complicated question, thanks. My query deals with:
Attendances that aren't precisely measured in hours. The number of seconds is totalled and divided by 3600 at the end of the calculation.
Attendances that span the month boundary at either end (thanks strawberry)
Attendances in the current month that have started (there is an entry with operation "1") but not yet finished (there is no corresponding operation "2").
I used the following data for testing:
INSERT INTO Attendance(UserId, Operation, CreatedDate) VALUES
(4, 1, '2016-01-01 15:00:00'),
(4, 2, '2016-01-01 19:00:00'),
(4, 1, '2016-01-31 23:00:00'),
(4, 2, '2016-02-01 01:00:00'),
(4, 1, '2016-02-20 23:18:59'),
(4, 2, '2016-02-20 23:19:50'),
(4, 1, '2016-02-20 23:20:28'),
(4, 2, '2016-02-20 23:20:31'),
(4, 1, '2016-02-29 23:00:00'),
(4, 2, '2016-03-01 01:00:00'),
(4, 1, '2016-03-02 15:00:00'),
(4, 2, '2016-03-02 18:00:00'),
(4, 1, '2016-03-22 10:00:00');
The query selects all users' hours for a specific month. Selecting results for more than one month in one query is more complicated because of the possibility that attendances span month boundaries and if required it might be simplest to iterate over the months and run the query repeatedly, adjusting the four dates in the SQL appropriately.
The innermost query selects all arrival times and the corresponding departure time for all users. The outer query then restricts them to the current month, calculates the difference between the two times, and sums them by user.
SELECT UserId, SUM(TIMESTAMPDIFF(
SECOND,
GREATEST(TimeIn, '2016-02-01'),
LEAST(COALESCE(TimeOut, NOW()), '2016-03-01'))) / 3600 HoursInMonth
FROM (SELECT TimeIn.UserId, TimeIn.CreatedDate TimeIn, MIN(TimeOut.CreatedDate) TimeOut
FROM Attendance TimeIn
LEFT JOIN Attendance TimeOut ON TimeOut.UserId = TimeIn.UserId
AND TimeOut.Operation = 2
AND TimeOut.CreatedDate > TimeIn.CreatedDate
WHERE TimeIn.operation = 1
GROUP BY TimeIn.AttendanceId
ORDER BY TimeIn.CreatedDate) TimeInOut
WHERE DATE_FORMAT(TimeIn, '%Y-%m') = '2016-02'
OR DATE_FORMAT(TimeOut, '%Y-%m') = '2016-02'
OR (DATE_FORMAT(TimeIn, '%Y-%m') < '2016-02' AND TimeOut IS NULL)
GROUP BY UserId;
I've been looking at several other SO questions but I could not make out a solution from these. First, the description, then what I'm missing from the other threads. (Heads up: I'm very well aware of the non-normalised structure of our database, which is something I have addressed in meetings before but this is what we have and what I have to work with.)
Background description
We have a machine that manufactures products in 25 positions. These products' production data is being logged in a table that among other things logs current and voltage for every position. This is only logged when the machine is actually producing products (i.e. has a product in the machine). The time where no product is present, nothing is being logged.
This machine can run in two different production modes: full production and R&D production. Full production means that products are being inserted continuously so that every instance has a product at all times (i.e. 25 products are present in the machine at all times). The second mode, R&D production, only produces one product at a time (i.e. one product enters the machine, goes through the 25 instances one by one and when this one is finished, the second product enters the machine).
To clarify: every position logs data once every second whenever a product is present, which means 25 instances per second when full production is running. When R&D mode is running, position 1 will have ~20 instances for 20 consecutive seconds, position 2 will have ~20 instances for the next 20 consecutive seconds and so on.
Table structure
Productiondata:
id (autoincrement)
productID
position
time (timestamp for logged data)
current (amperes)
voltage (volts)
Question
We want to calculate the uptime of the machine, but we want to separate the uptime for production mode and R&D mode, and we want to separate this data on a weekly basis.
Guessed solution
Since we have instances logged every second I can count the amount of DISTINCT instances of time values we have in the table to find out the total uptime for both production and R&D mode. To find the R&D mode, I can safely say that whenever there is a time instance that has only one entry, I'm running in R&D mode (production mode would have 25 instances).
Progress so far
I have the following query which sums up all distinct instances to find both production and R&D mode:
SELECT YEARWEEK(time) AS YWeek, COUNT(DISTINCT time) AS Time_Seconds, ROUND(COUNT(DISTINCT time)/3600, 1) AS Time_Hours
FROM Database.productiondata
WHERE YEARWEEK(time) >= YEARWEEK(curdate()) - 21
GROUP BY YWeek;
This query finds out how many DISTINCT time instances there are in the table and counts the number and groups that by the week.
Problem
The above query counts the amount of instances that exist in the table, but I want to find ONLY the UNIQUE instances. Basically, I'm trying to find something like IF count(time) = 1, then count that instance, IF count(time) > 1 then don't count it at all (DISTINCT still counts this).
I looked at several other SO threads, but almost all explain how to find unique values with DISTINCT, which only accomplishes half of what I'm looking for. The closest I got was this which uses a HAVING clause. I'm currently stuck at the following:
SELECT YEARWEEK(time) as YWeek, COUNT(Distinct time) As Time_Seconds, ROUND(COUNT(Distinct time)/3600, 1) As Time_Hours
FROM
(SELECT * FROM Database.productiondata
WHERE time > '2014-01-01 00:00:00'
GROUP BY time
HAVING count(time) = 1) as temptime
GROUP BY YWeek
ORDER BY YWeek;
The problem here is that we have a GROUP BY time inside the nested select clause which takes forever (~5 million rows only for this year so I can understand that). I mean, syntactically I think that this is correct but it takes forever to exectue. Even EXPLAIN for this times out.
And that is where I am. Is this the correct approach or is there any other way that is smarter/requires less query time/avoids the group by time clause?
EDIT: As a sample, we have this table (apologies for formatting, don't know how to make a table format here on SO)
id position time
1 1 1
2 2 1
3 5 1
4 19 1
... ... ...
25 7 1
26 3 2
27 6 2
... ... ...
This table shows how it looks like when there is a production run going on. As you can see, there is no general structure for which position gets the first entry when logging the data in the table; what happens is that the 25 positions gets logged during every second and the data is then added to the table depending on how fast the PLC sends the data for every position. The following table shows how the table looks like when it runs in research mode.
id position time
245 1 1
246 1 2
247 1 3
... ... ...
269 1 25
270 2 26
271 2 27
... ... ...
Since all the data is consolidated into one single table, we want to find out how many instances there are when COUNT(time) is exactly equal to 1, or we could look for every instance when COUNT(time) is strictly larger than 1.
EDIT2: As a reply to Alan, the suggestion gives me
YWeek Time_Seconds Time_Hours
201352 1 0.0
201352 1 0.0
201352 1 0.0
... ... ...
201352 1 0.0 (1000 row limit)
Whereas my desired output is
Yweek Time_Seconds Time_Hours
201352 2146 35.8
201401 5789 96.5
... ... ...
201419 8924 148.7
EDIT3: I have gathered the tries and the results so far here with a description in gray above the queries.
You might achieve better results by eliminating your sub select:
SELECT YEARWEEK(time) as YWeek,
COUNT(time) As Time_Seconds,
ROUND(COUNT(time)/3600, 1) As Time_Hours
FROM Database.productiondata
WHERE time > '2014-01-01 00:00:00'
GROUP BY YWeek
HAVING count(time) = 1)
ORDER BY YWeek;
I'm assuming time has an index on it, but if it does not you could expect a significant improvement in performance by adding one.
UPDATE:
Per the recently added sample data, I'm not sure your approach is correct. The time column appears to be an INT representing seconds while you're treating it as a DATETIME with YEARWEEK. Below I have a working example in SQL that does exactly what you asked IF time is actually a DATETIME column:
DECLARE #table TABLE
(
id INT ,
[position] INT ,
[time] DATETIME
)
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -1, GETDATE()) )
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -2, GETDATE()) )
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -2, GETDATE()) )
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -2, GETDATE()) )
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -2, GETDATE()) )
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -3, GETDATE()) )
INSERT INTO #table
VALUES ( 1, 1, DATEADD(week, -3, GETDATE()) )
SELECT CAST(DATEPART(year, [time]) AS VARCHAR)
+ CAST(DATEPART(week, [time]) AS VARCHAR) AS YWeek ,
COUNT([time]) AS Time_Seconds ,
ROUND(COUNT([time]) / 3600, 1) AS Time_Hours
FROM #table
WHERE [time] > '2014-01-01 00:00:00'
GROUP BY DATEPART(year, [time]) ,
DATEPART(week, [time])
HAVING COUNT([time]) > 0
ORDER BY YWeek;
SELECT pd1.*
FROM Database.productiondata pd1
LEFT JOIN Database.productiondata pd2 ON pd1.time=pd2.time AND pd1.id<pd2.id
WHERE pd1.time > '2014-01-01 00:00:00' AND pd2.time > '2014-01-01 00:00:00'
AND pd2.id IS NULL
You can LEFT JOIN to the same table and leave only the rows with no related
UPDATE The query works using the SQL fiddle
SELECT pd1.* From productiondata pd1
left Join productiondata pd2
ON pd1.time = pd2.time and pd1.id < pd2.id
Where pd1.time > '2014-01-01 00:00:00' and pd2.id IS NULL;
How can I order the mysql result by varchar column that contains day of week name?
Note that MONDAY should goes first, not SUNDAY.
Either redesign the column as suggested by Williham Totland, or do some string parsing to get a date representation.
If the column only contains the day of week, then you could do this:
ORDER BY FIELD(<fieldname>, 'MONDAY', 'TUESDAY', 'WEDNESDAY', 'THURSDAY', 'FRIDAY', 'SATURDAY', 'SUNDAY');
Why not this?
ORDER BY (
CASE DAYOFWEEK(dateField)
WHEN 1 THEN 7 ELSE DAYOFWEEK(dateField)
END
)
I believe this orders Monday to Sunday...
I'm thinking that short of redesigning the column to use an enum instead, there's not a lot to be done for it, apart from sorting the results after you've gotten them out.
Edit: A dirty hack is of course to add another table with id:weekday pairs and using joins or select in selects to fake an enum.
... ORDER BY date_format(order_date, '%w') = 0, date_format(order_date, '%w') ;
This looks messy but still works and seems more generic:
select day,
case day
when 'monday' then 1
when 'tuesday' then 2
when 'wednesday' then 3
when 'thursday' then 4
when 'friday' then 5
when 'saturday' then 6
when 'sunday' then 7
end as day_nr from test order by day_nr;
Using if is even more generic and messier:
select id, day,
if(day = 'monday',1,
if(day = 'tuesday',2,
if(day = 'wednesday',3,
if(day = 'thursday',4,
if(day = 'friday',5,
if(day = 'saturday',6,7)
)
)
)
)
) as day_nr from test order by day_nr;
You can also hide the details of conversion from name to int in stored procedure.
I realise that this is an old thread, but as it comes to the top of google for certain search times I will use it to share my approach.
I wanted the same result as the original question, but in addition I wanted the ordering of the results starting from the current day of the week and then progressing through the rest of the days.
I created a separate table, in which the days were listed over a fortnight, so that no matter which day you started from you could run through a sequence of 7 days.
CREATE TABLE IF NOT EXISTS `Weekdays` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(50) NOT NULL DEFAULT '',
PRIMARY KEY (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=latin1 AUTO_INCREMENT=15 ;
INSERT INTO `Weekdays` (`id`, `name`) VALUES
(1, 'Monday'),
(2, 'Tuesday'),
(3, 'Wednesday'),
(4, 'Thursday'),
(5, 'Friday'),
(6, 'Saturday'),
(7, 'Sunday'),
(8, 'Monday'),
(9, 'Tuesday'),
(10, 'Wednesday'),
(11, 'Thursday'),
(12, 'Friday'),
(13, 'Saturday'),
(14, 'Sunday');
I then ran the query with a variable that determined the start point in sequence and used a join to get the order number for the days. For example to start the listing at Wednesday, I do the following:
SELECT #startnum := MIN(id) FROM Weekdays WHERE name='Wednesday';
SELECT * FROM Events INNER JOIN ( SELECT id as weekdaynum, name as dayname FROM Weekdays WHERE id>(#startnum-1) AND id<(#startnum+7) ) AS s2 ON s2.dayname=Events.day ORDER BY weekdaynum;
I hope this helps someone who stumbles onto this post.
Found another way, your can reverse order bye week
ORDER BY date_format(date_name, '%w') DESC;
Another way would be to create another table with those days and an int to order them by, join that table when searching, and order by it. Of course, joining on a varchar is not recommended.
Table DaysOfWeek
id | day
--------------------
1 | Monday
2 | Tuesday
3 | Wednesday
4 | Thursday
5 | Friday
6 | Saturday
SELECT * FROM WhateverTable
LEFT JOIN DaysOFWeek on DaysOFWeek.day = WhateverTable.dayColumn
ORDER BY DaysOfWeek.id
(Apologies if that's not correct; I've been stuck with SQL server recently)
Again, this is NOT recommended, but if you cannot alter the data you've already got... This will also work if there are non-standard values in the dayColumn field.
Found another way that works for me:
SELECT LAST_NAME, HIRE_DATE, TO_CHAR(HIRE_DATE, 'fmDAY') as 'Day' FROM EMPLOYEES
ORDER BY TO_CHAR(HIRE_DATE, 'd');
Hope it helps
In my case, since the days can be registered in several languages, to get the correct order I do like this according to Glen Solsberry:
....
....
ORDER BY
FIELD(<fieldname>, 'MONDAY', 'TUESDAY', 'WEDNESDAY', 'THURSDAY', 'FRIDAY', 'SATURDAY', 'SUNDAY'),
FIELD(<fieldname>, 'LUNDI', 'MARDI', 'MERCREDI', 'JEUDI', 'VENDREDI', 'SAMEDI', 'DIMANCHE'),
FIELD(<fieldname>, 'LUNES', 'MARTES', 'MIERCOLES', 'JUEVES', 'VIERNES', 'SABADO', 'DOMINGO'),
FIELD(<fieldname>, 'MONTAGE', 'DIENSTAG', 'MITTWOCH', 'DENNERSTAG', 'FREITAG', 'SAMSTAG', 'SONNTAG')
;
Do not forget that, <fieldname> is the name of the date column in question in your case.
I saw that ...WHEN 1 THEN 7... was posted but it should be WHEN 1 THEN 8.
So...
ORDER BY (
CASE DATEPART(DW, yourdatefield)
WHEN 1 THEN 8 ELSE DATEPART(DW, yourdatefield)
END
)
Otherwise Sunday may come before Saturday because both Sunday and Saturday would equal 7. By setting Sunday to 8, it ensures it comes after Saturday.
If you try this, it should work:
SELECT ename, TO_CHAR(hiredate, 'fmDay') as "Day"
FROM my_table
ORDER BY MOD(TO_CHAR(hiredate, 'D') + 5, 7)