I need help for adding different time interval reads value for date.
Suppose in day they are 24 hours, and I want the sum of 4-8pm in one row and another i.e. 0-4pm and 9pm 12 am in one row.
I was using below query :
SELECT
ennt_date,
CASE
WHEN to_number(TO_CHAR(dta.end_time,'HH24:MI:SS'),'sssss')/60 >= 960
AND to_number(TO_CHAR(dta.end_time,'HH24:MI:SS'),'sssss') /60 <=
1200
THEN (reads)
ELSE (reads)
END
from MD_data
group by ennt_date
getting error saying:
case is not group by function
This should work. You can adjust the hhGroup time ranges per your needs. I was unclear as to whether the 4pm-8pm went thru 7:59 (8pm) or thru 8:59(9pm)
SELECT ennt_date
,hhGroup
,Count(1) as cnt
FROM
(Select
ennt_date
,CAST( dta.end_time as time) as tm
,DATEPART(HH, dta.end_time ) as hh
,CASE When DATEPART(HH, dta.end_time ) < 16 Then '0am-4pm'
When DATEPART(HH, dta.end_time ) < 20 Then '4pm-8pm'
When DATEPART(HH, dta.end_time ) < 21 Then '8pm-9pm'
When DATEPART(HH, dta.end_time ) < 24 Then '9pm-mid'
END as hhGroup
From md_data
) as mm
GROUP BY ennt_date, hhGroup
You can divide the day in 4-hour segments and sum each one separately:
with
x as (
select
(extract(hour from end_time) div 4) * 4 as fragment,
reads
from md_data
)
select
fragment,
sum(reads)
from x
group fragment
Sample results would help, but I think you want:
SELECT trunc(ennt_date),
( ceil( extract(hour from ennt_date) / 4.0) * 4 - 4 ) as hour,
SUM(reads)
from MD_data
group by trunc(ennt_date),
ceil( extract(hour from ennt_date) / 4.0);
Related
I'm trying to create a query to only return data where date is minus 3 days from the current date. I've tried:
date <= DATE_ADD(CURRENT_DATE(), -3, 'DAY')
But this returns Error: Expected INTERVAL expression
See WHERE clause in below example
#standardSQL
WITH yourTable AS (
SELECT i, date
FROM UNNEST(GENERATE_DATE_ARRAY('2017-04-15', '2017-04-28')) AS date WITH OFFSET AS i
)
SELECT *
FROM yourTable
WHERE date <= DATE_SUB(CURRENT_DATE(), INTERVAL 3 DAY)
-- ORDER BY date
Btw, in case if you are still with Legacy SQL - see below example
#legacySQL
SELECT *
FROM -- yourTable
(SELECT 1 AS id, DATE('2017-04-20') AS date),
(SELECT 2 AS id, DATE('2017-04-21') AS date),
(SELECT 3 AS id, DATE('2017-04-22') AS date),
(SELECT 4 AS id, DATE('2017-04-23') AS date),
(SELECT 5 AS id, DATE('2017-04-24') AS date),
(SELECT 6 AS id, DATE('2017-04-25') AS date)
WHERE TIMESTAMP(date) <= DATE_ADD(TIMESTAMP(CURRENT_DATE()), -3, 'DAY')
-- ORDER BY date
This works with a string formatted date.
DATE(TIMESTAMP(date)) <= DATE_SUB(CURRENT_DATE(), INTERVAL 3 DAY)
Just tested this and seems to work.
I added this :
and DATE(TIMESTAMP(datevalue)) >= DATE_SUB(CURRENT_DATE(), INTERVAL 21 DAY)
and managed to get all records greater than last 21 days worth. Only thing I changed from #ericbrownaustin 's code was changed the 'date' in the first piece of code in the second set of parenthesis.
So, I have a query that uses GETDATE() in WHERE and HAVING clauses:
SELECT GETDATE(), COUNT(*) FROM (
SELECT 1 FROM events
WHERE (event_time > (GETDATE() - interval '25 hours'))
GROUP BY id
HAVING MAX(event_time) BETWEEN (GETDATE() - interval '25 hours') AND (GETDATE() - interval '24 hours')
)
I'm basically trying to find the number of unique ids that have their latest event_time between 25 and 24 hours ago with respect to the current time.
The problem: I have another table query_dts which contains one column containing timestamps. Instead of running the above query on the current time, using GETDATE(), I need to run in on the timestamp of every entry of the query_dts table. Any ideas?
Note: I'm not really storing query_dts anywhere. I've created it like this:
WITH query_dts AS (
SELECT (
DATEADD(hour,-(row_number() over (order by true)), getdate())
) as n
FROM events LIMIT 48
),
which I got from here
How about avoiding the generator altogether and instead just splitting the intervals:
SELECT
dateadd(hour, -distance, getdate()),
count(0) AS event_count
FROM (
SELECT
id,
datediff(hour, max(event_time), getdate()) AS distance
FROM events
WHERE event_time > getdate() - INTERVAL '2 days'
GROUP BY id) AS events_with_distance
GROUP BY distance;
You can use a JOIN to combine the two queries. Then you just need to substitute the values for your date expression. I think this is the logic:
WITH query_dts AS (
SELECT DATEADD(hour, -(row_number() over (order by true)), getdate()) as n
FROM events
LIMIT 48
)
SELECT d.n, COUNT(*)
FROM (SELECT d.n
FROM events e JOIN
query_dts d
WHERE e.event_time > d.n
GROUP BY id
HAVING MAX(event_time) BETWEEN n - interval '25 hours' AND n
) i;
Here's what I ended up doing:
WITH max_time_table AS
(
SELECT id, max(event_time) AS max_time
FROM events
WHERE (event_time > GETDATE() - interval '74 hours')
GROUP BY id
),
query_dts AS
(
SELECT (DATEADD(hour,-(row_number() over (ORDER BY TRUE) - 1), getdate()) ) AS n
FROM events LIMIT 48
)
SELECT query_dts.n, COUNT(*)
FROM max_time_table JOIN query_dts
ON max_time_table.max_time BETWEEN (query_dts.n - interval '25 hours') AND (query_dts.n - interval '24 hours')
GROUP BY query_dts.n
ORDER BY query_dts.n DESC
Here, I selected 74 hours because I wanted 48 hours ago + 25 hours ago = 73 hours ago.
The problem is that this isn't a general-purpose way of doing this. It's a highly specific solution for this particular problem. Can someone think of a more general way of running a query dependent on GETDATE() using a column of dates in another table?
I have a query (see SQL Fiddle) which calculates the total track time per day. It worked fine until I found that my data is not clean and it has some intervals overlapping (i.e. starttime is repeated in some cases).
There are 1440 minutes in a day and therefore the maximum track time should be 1440, but due to the overlapping intervals the track time exceeds 1440 minutes per day in some cases.
At the moment the query makes it 1440 if the sum exceeds 1440. But if a value is less than 1440 it still can be wrong.
For example
One interval is from 10:00 to 14:00.
Second interval is from 13:00 to 15:00.
End result is 4 + 2 = 6 hours, where hour between 13:00 and 14:00 is counted twice.
End result is 360 minutes, which is less than 1440, but it is not a
correct answer, because data is not correct.
I want some help to fix the query so that it skips overlaps and calculates the correct track time. Thanks
;WITH
CTE_Dates
AS
(
SELECT
Email
,CAST(MIN(StartTime) AS date) AS StartDate
,CAST(MAX(EndTime) AS date) AS EndDate
FROM track
GROUP BY Email
)
SELECT
CTE_Dates.Email
,DayStart AS xDate
-- if some intervals overlap, it is possible
-- to get SUM more than 1440 per day
-- truncate such values for now
,CASE
WHEN ISNULL(SUM(DATEDIFF(second, RangeStart, RangeEnd)) / 60, 0) > 1440
THEN 1440
ELSE ISNULL(SUM(DATEDIFF(second, RangeStart, RangeEnd)) / 60, 0)
END AS TrackMinutes
FROM
Numbers
CROSS JOIN CTE_Dates
CROSS APPLY
(
SELECT
DATEADD(day, Numbers.Number-1, CTE_Dates.StartDate) AS DayStart
,DATEADD(day, Numbers.Number, CTE_Dates.StartDate) AS DayEnd
) AS A_Date
OUTER APPLY
(
SELECT
-- MAX(DayStart, StartTime)
CASE WHEN DayStart > StartTime THEN DayStart ELSE StartTime END AS RangeStart
-- MIN(DayEnd, EndTime)
,CASE WHEN DayEnd < EndTime THEN DayEnd ELSE EndTime END AS RangeEnd
FROM track AS T
WHERE
T.Email = CTE_Dates.Email
AND T.StartTime < DayEnd
AND T.EndTime > DayStart
) AS A_Track
WHERE
Numbers.Number <= DATEDIFF(day, CTE_Dates.StartDate, CTE_Dates.EndDate)+1
GROUP BY DayStart, CTE_Dates.Email
ORDER BY DayStart;
This is a "gaps and islands" problem. I faked my own test data (since you didn't provide any), but I think it works. The key intuition is that all values within the same "island" (that is, contiguous time interval) will have the same difference from a row_number() column. If you want a little insight into it, do a raw select from the IntervalsByDay cte (as opposed to the subquery I have now); this will show you the islands calculated (with start and end points).
edit: I didn't see that you had a fiddle on the first go around. My answer has been changed to reflect your data and desired output
with i as (
select datediff(minute, '2013-01-01', StartTime) as s,
datediff(minute, '2013-01-01', EndTime) as e
from #track
), brokenDown as (
select distinct n.Number
from i
join dbadmin.dbo.Numbers as n
on n.Number >= i.s
and n.Number <= i.e
), brokenDownWithID as (
select Number, Number - row_number() over(order by Number) as IslandID,
cast(dateadd(minute, number, '2013-01-01') as date) as d
from brokenDown
), IntervalsByDay as (
select
dateadd(minute, min(number), '2013-01-01') as [IntervalStart],
dateadd(minute, max(number), '2013-01-01') as [IntervalEnd],
d,
max(Number) - min(Number) + 1 as [NumMinutes]
from brokenDownWithID
group by IslandID, d
)
select d, sum(NumMinutes) as NumMinutes
from IntervalsByDay
group by d
order by d
I have a tabel in a relation database which contains a lot of dates.
I my application logic I have divided one day into 4 parts of 6 hours each, starting at: 00:00, 06:00, 12:00 and 18:00.
Now I would like to find the time difference of the earliest record in the database for each quater of a day, and the beginning og the peiod. How can I do that?
In psuedo-sql i guess it looks like
select min(created_at - ROUND_DOWN_TO_6_HOURS(created_at)) from mytabel group by day_quater;
The problem is how to calculate "ROUND_DOWN_TO_6_HOURS". So if "created_at" is 19:15 it will be rounded down to 18:00 and "created_at - ROUND_DOWN_TO_6_HOURS(created_at)" will return 1:15 hourd
I'm working with psql
If you're just trying to locate the records that match these ranges, you could just use that in the WHERE clause like
select * from myTable
where datepart(hh, created_at) between 0 and 6
If your trying to create a computed field that will have the 00 or 06 ... then you could use the "DatePart()" function in sql to pull the hour... DATEPART ( hh, date )... This would return a numeric value of 0, 1, 2, 3, ... 23 and you can compute a field based on this value being between 2 of your hours listed...
Here's a sample...
select
case
when datepart(hh, add_dt) between 0 and 6 then 1
when datepart(hh, add_dt) between 7 and 12 then 2
when datepart(hh, add_dt) between 13 and 18 then 3
when datepart(hh, add_dt) between 19 and 24 then 4
end
from myTable
where add_dt is not null
You could use CASE in conjunction with your date column and datetime functions to establish the quarter-of-day (1,2,3,4) and extract the day part from the datetime value, group by day, quarter, and then use the MIN(yourdatecolumn) to grab the earliest time within each quarter grouping.
Not sure what you mean by "beginning of the period". but you can measure the difference between any arbitrary datetime and your set of earliest times per day-quarter which was instantiated in the manner above.
http://www.postgresql.org/docs/8.2/static/functions-datetime.html
select
record::time - (case
when record::time >= '18:00' then '18:00'
when record::time >= '12:00' then '12:00'
when record::time >= '6:00' then '6:00'
else '0:00' end
)::time as difference
from my_table
My PostgreSQL is a little rusty, but something like this:
select
date_trunc('day',CreatedOn) [Day],
min(case when date_part('hour',TIMESTAMP CreatedOn) < 6 then '00:00'
when date_part('hour',TIMESTAMP CreatedOn) < 12 then '06:00'
when date_part('hour',TIMESTAMP CreatedOn) < 18 then '12:00'
else '18:00'
end) [Quarter]
from MyTable
group by date_trunc('day',CreatedOn)
order by date_trunc('day',CreatedOn)
I can extract the month and day by using Day(Date()), Month(Date()). I can't extract hours, with HOUR(Date()). I get the following error.
'HOUR' is not a recognized built-in function name.
How can I extract hours?
SELECT DATEPART(HOUR, GETDATE());
DATEPART documentation
... you can use it on any granularity type i.e.:
DATEPART(YEAR, [date])
DATEPART(MONTH, [date])
DATEPART(DAY, [date])
DATEPART(HOUR, [date])
DATEPART(MINUTE, [date])
(note: I like the [ ] around the date reserved word though. Of course that's in case your column with timestamp is labeled "date")
Use datepart.
E.g.:
datepart(hh, date)
try this one too:
DATEPART(HOUR,GETDATE())
The DATEPART() function is used to return a single part of a date/time, such as year, month, day, hour, minute, etc.
datepart ***Abbreviation
year ***yy, yyyy
quarter ***qq, q
month ***mm, m
dayofyear ***dy, y
day ***dd, d
week ***wk, ww
weekday ***dw, w
hour ***hh
minute ***mi, n
second ***ss, s
millisecond ***ms
microsecond ***mcs
nanosecond ***ns
Example
select *
from table001
where datepart(hh,datetime) like 23
DATEPART(HOUR, [date]) returns the hour in military time ( 00 to 23 )
If you want 1AM, 3PM etc, you need to case it out:
SELECT Run_Time_Hour =
CASE DATEPART(HOUR, R.date_schedule)
WHEN 0 THEN '12AM'
WHEN 1 THEN '1AM'
WHEN 2 THEN '2AM'
WHEN 3 THEN '3AM'
WHEN 4 THEN '4AM'
WHEN 5 THEN '5AM'
WHEN 6 THEN '6AM'
WHEN 7 THEN '7AM'
WHEN 8 THEN '8AM'
WHEN 9 THEN '9AM'
WHEN 10 THEN '10AM'
WHEN 11 THEN '11AM'
WHEN 12 THEN '12PM'
ELSE CONVERT(varchar, DATEPART(HOUR, R.date_schedule)-12) + 'PM'
END
FROM
dbo.ARCHIVE_RUN_SCHEDULE R
Try this one too:
SELECT CONVERT(CHAR(8),GETDATE(),108)
select case when [am or _pm] ='PM' and datepart(HOUR,time_received)<>12
then dateadd(hour,12,time_received)
else time_received
END
from table
works
I can't extract hours, with HOUR(Date())
There is a way to call HOUR (I would not recommend to use it though because there is DATEPART function) using ODBC Scalar Functions:
SELECT {fn HOUR(GETDATE())} AS hour
LiveDemo
To include AM / PM - use the below:
SELECT
concat(case when datepart(hour,getdate()) % 12 = 0 then 12
else datepart(hour,getdate()) % 12 end,
case when datepart(hour,getdate()) < 12 then ' AM'
else ' PM' end
)
select convert(time,GETDATE())
you must use datepart()
like
datepart(hour , getdate())