I am trying query and table to find a incident opened date that is within 2 weeks after a user start date.
I have a table like this
ID | StartDate | OpenedDate
---|-------------------------|---------------------
1 | 2014-01-02 05:44:47.000 | 2014-01-14 00:00:00.000
2 | 2011-01-02 13:35:01.000 | 2012-07-09 00:00:00.000
3 | 2011-01-02 13:35:01.000 | 2011-01-10 00:00:00.000
4 | 2011-01-02 13:35:01.000 | 2012-07-09 00:00:00.000
5 | 2011-01-02 13:35:01.000 | 2012-07-09 00:00:00.000
I would only want lines 1 and 3 since StartDate is within 2 weeks of the opendate
Try this:
SELECT
ID,
StartDate,
OpenedDate
FROM
mytable
WHERE
OpenedDate >= DATEADD(d, -14, StartDate)
SELECT
ID,
StartDate,
OpenedDate
FROM
mytable
WHERE
datediff(wk,getdate(),startdate)<=2
Related
I have this working SQL code (MySql), that returns number of Seconds a MState value have been eg. 4
SELECT SUM(Seconds_In_State) From
(SELECT
Time_Stamp,
MState,
(-1 * TIMESTAMPDIFF(Minute, LEAD(Time_Stamp) OVER(ORDER BY Time_Stamp), Time_Stamp))
AS Seconds_In_State
FROM Mstate
WHERE DATE(`Time_Stamp`) = CURDATE()
AND TIME(`Time_Stamp`) >= '08:05' /*ShiftStart input tag*/
ORDER BY Time_Stamp) AS T
Where MState = 4;
The result will not include the 300 seconds, where MState have been 4, from 08:05 to 08:10. Since I look at timestamps > 08:05. But I would like to include the time from 08:05 to 08:10 where the MState have been 4.
So it finds how many seconds from Time_Stamp where MState is 4, to next timestamp. From 08:05, and sums them together. If MState 4 have timestamp 08:00, it is not included. But I would like to include the seconds from 08:05 to 08:10, where MState is 4.
So if the MState prior to Time_Stamp >= 08:05, have value 4, add seconds from 08:05 to 08:10, to Seconds_In_State.
Data
|Time_Stamp | MState |
|------------------------|------- |
|2021-04-23 07:50:00 | 3 |
|2021-04-23 08:00:00 | 4 |
|2021-04-23 08:10:00 | 1 |
|2021-04-23 08:22:00 | 2 |
|2021-04-23 08:30:00 | 3 |
|2021-04-23 08:40:00 | 4 |
|2021-04-23 08:50:00 | 1 |
|2021-04-23 09:01:00 | 2 |
|2021-04-23 09:10:00 | 3 |
Result from current code:
|SUM(Seconds_In_State) |
|600 |
Result I would like to get:
|SUM(Seconds_In_State) |
|900 |
You would seem to want lag() and a comparison to enforce the timeframe:
SELECT SUM(Seconds_In_State)
FROM (SELECT s.*,
TIMESTAMPDIFF(Minute,
GREATEST(LAG(Time_Stamp) OVER (ORDER BY Time_Stamp), addtime(cast(curdate() as datetime), '08:05')),
Time_Stamp
) AS Seconds_In_State
FROM Mstate s
WHERE DATE(Time_Stamp) = CURDATE() AND
TIME(Time_Stamp) >= '08:05' /*ShiftStart input tag*/
) s
WHERE MState = 4
ORDER BY Time_Stamp
I have a table like a table below.
I want to select count and group by day.
But the data in 1 day will start counts at 7:00:00 until tomorrow at 6:59:59 (24hr.).
For example
Day 1 data between '2019/06/01 7:00:00' and '2019/06/02 06:59:59'
Day 2 data between '2019/06/02 7:00:00' and '2019/06/03 06:59:59'
How can I code the where condition?
id | create_date | judge |
-----+---------------------+---------+
1 | 2019-06-02 8:00:00 | ok |
2 | 2019-06-02 9:00:00 | ok |
3 | 2019-06-02 10:00:00 | ok |
4 | 2019-06-02 11:00:00 | ok |
5 | 2019-06-02 15:00:00 | ok |
6 | 2019-06-03 4:00:00 | ok |
7 | 2019-06-03 5:00:00 | ok |
8 | 2019-06-03 8:00:00 | ok |
9 | 2019-06-03 9:00:00 | ok |
10 | 2019-06-03 9:00:00 | fail |
I've tried below but the result is not as expected.
SELECT COUNT(*),DAY(create_date)
FROM mytable
WHERE judge = 'ok' and MONTH(create_date) = '6' and YEAR(create_date) = '2019' and TIME(create_date) > '07:00:00'
Group by DAY(create_date) order by DAY(create_date) ASC
Expected results
COUNT(*) | DAY(create_date) |
-----------+---------------------+
7 | 2 | (from id 1 to 7)
2 | 3 | (from id 8 and 9)
You could subtract seven hours from each date, truncate them to show the date only and then group them:
SELECT DATE(DATE_SUB(create_date, INTERVAL 7 HOUR)), COUNT(*)
FROM mytable
-- Where clause if you need it...
GROUP BY DATE(DATE_SUB(create_date, INTERVAL 7 HOUR))
Just subtract 7 hours for the aggregation and the date/time comparisons:
SELECT DATE(create_date - interval 7 hour) as dte, COUNT(*)
FROM mytable
WHERE judge = 'ok' and
create_date >= '2019-06-01 07:00:00' AND
create_date < '2019-07-01 07:00:00'
GROUP BY DATE(create_date - interval 7 hour)
ORDER BY dte;
Try this-
SELECT
CAST(DATE_SUB(create_date, INTERVAL 7 HOUR) AS DATE),
COUNT(*)
FROM YOUR_TABLE
GROUP BY CAST(DATE_SUB(create_date, INTERVAL 7 HOUR) AS DATE)
I don't know if this is possible, but it'd be really awesome. I have a table of sign-ins for people who are logging time on different projects and I need to compile a report of time logged for each project for a given time period.
My table looks something like this:
id | project | time_in | time_out | break
----------------------------------------------------------------
1 | 1 | 2014-12-07 05:00:00 | 2014-12-07 10:00:00 | 30
2 | 2 | 2014-12-07 06:00:00 | 2014-12-07 13:00:00 | 15
3 | 1 | 2014-12-07 14:00:00 | 2014-12-07 18:00:00 | 0
4 | 3 | 2014-12-07 08:30:00 | 2014-12-07 18:45:00 | 75
5 | 2 | 2014-12-07 12:00:00 | 2014-12-07 16:30:00 | 0
What I'd like to be able to do is get a report of the time logged for each project given a date range, i.e. the total time, probably in seconds, logged for each project.
time_in and time_out are fields of type TIMESTAMP; break is an integer representing the number of minutes the person was on break. I need to get the sum of time_out - time_in - break for each project, e.g. for December 7:
project | time
---------------
1 | 34200
2 | 40500
3 | 34200
This is all I have so far:
SELECT DISTINCT
`project`
FROM `sign_ins`
WHERE
`time_in` >= '2014-12-07 00:00:00' AND
`time_out` <= '2014-12-08 00:00:00';
I appreciate your help on this, SO community. You guys are so brilliant.
You can get the difference in seconds by converting the date/time values to Unix time stamps. Then, just aggregate the differences using sum():
SELECT project,
SUM(UNIX_TIMESTAMP(time_out) - UNIX_TIMESTAMP(time_in) - (break * 60)) as DiffSecs
FROM `sign_ins`
WHERE `time_in` >= '2014-12-07 00:00:00' AND
`time_out` <= '2014-12-08 00:00:00'
GROUP BY project;
I have a mysql db which I use to return amounts of orders by hour in a specific day. I use this SELECT statement for that.
select
hour(datains),sum(valore)
from
ordini
where (stato=10 or stato = 1 ) and DATE(datains) = DATE_SUB(CONCAT(CURDATE(), ' 00:00:00'), INTERVAL 0 DAY)
group by hour(datains)
order by
id DESC
It returns:
+--------------+---------------+
| hour datains | valore |
| 12 | 34 |
| 11 | 56 |
| 10 | 134 |
+-------------------------------
Now I need to have columns for a certain number of days, like this.
+--------------+---------------+--------------+--------------+
| hour datains | 01-01-2014 | 02-01-2014 | 03-01-2014 |
| 12 | 34 | 34 | 77 |
| 11 | 56 | 0 | 128 |
| 10 | 134 | 66 | 12 |
+------------------------------+-----------------------------+
Is this possible?
It seems you have a table ordini with columns datains, valore, and stato.
Perhaps you can try this query to generate hour-by-hour aggregates for a three days' worth of recent sales, but not including today.
SELECT DATE_FORMAT(datains, '%Y-%m-%d %H:00') AS hour,
SUM(valore) AS valore
FROM ordini
WHERE (stato = 1 OR stato = 10)
AND datains >= CURRENT_DATE() - INTERVAL 3 DAY
AND datains < CURRENT_DATE
GROUP BY DATE_FORMAT(datains, '%Y-%m-%d %H:00')
ORDER BY DATE_FORMAT(datains, '%Y-%m-%d %H:00')
This will give you a result set with one row for each hour of the three days, for example:
2014-01-01 10:00 456
2014-01-01 11:00 123
2014-01-02 10:00 28
2014-01-02 11:00 350
2014-01-02 12:00 100
2014-01-02 13:00 17
2014-01-03 10:00 321
2014-01-03 11:00 432
2014-01-03 12:00 88
2014-01-03 13:00 12
That's the data summary you have requested, but formatted row-by-row. Your next step is to figure out an appropriate technique to pivot that result set, formatting it so some rows become columns.
It happens that I have just written a post on this very topic. It is here:
http://www.plumislandmedia.net/mysql/sql-reporting-time-intervals/
employee makes entry in the following table when starting new task
from home or office
[tablename=CHECK]
c_id c_sdate c_emp c_task
-------------------------------------------------
1 2013-05-01 01:01:00 1 26 //date 01 from home-----
2 2013-05-01 08:11:00 1 27 //date 01 from office--- Present
3 2013-05-02 03:41:00 1 28 //date 02 from home---
4 2013-05-02 09:12:00 1 29 //date 02 from office-
5 2013-05-02 22:32:00 1 30 //date 02 from home---Present
6 2013-05-03 01:43:00 1 31 //date 03 from home
7 2013-06-03 23:25:00 1 32 //date 03 from home----------Homework
8 2013-06-03 02:15:00 2 33 //other employee
an employe will be considered as present if there 1 or many records where time between 8am and 8pm
an employe will be considered as workedFromHome if there 1 or many records where time NOT between 8am and 8pm, and not present on that day
note: do not count a day as workedFromHome if there is any record time between 8am and 8pm (means workedFromHome is only counted if he is not resent on that day)
I want to display monthly report of a employee eg. c_emp=1 for month eg. 5
like this in 1 query
c_emp presentCount HW_Count
1 3 1
or separatly query 1
c_emp presentCount
1 3
and query 2
c_emp HW_Count
1 1
I have tried for counting present working fine
select count(distinct(date_format(c_sdate,'%e'))) as count
from ita_check
where date_format(c_sdate,'%m')=5
and c_emp=1
and date_format(c_sdate,'%H%i')>=800
and date_format(c_sdate,'%H%i')<=2000
and for counting fromHome giving wrong count
select count(distinct(date_format(c_sdate,'%e'))) as count
from ita_check
where date_format(c_sdate,'%m')=5
and c_eid=1
and c_id not in (
select c_id
from ita_check
where date_format(c_sdate,'%m')=5
and c_eid=1
and (date_format(c_sdate,'%H%i')<=800 or date_format(c_sdate,'%H%i')>=2000)
)
and date_format(c_sdate,'%H%i')<800
or date_format(c_sdate,'%H%i')>2000
in above query for counting Working
the sub query returns 1 and 2
while the outer eliminate c_id=2 but not c_id=1
Try this query
SELECT c_emp,
sum(if(cnt>=1,1,0)) as Office,
count(*)-sum(if(cnt>=1,1,0)) as WFH from (
select c_emp, Date(c_sdate),
sum(if(c_sdate BETWEEN Date(c_sdate) + interval 8 hour
AND Date(c_sdate) + interval 20 hour, 1, 0)) as cnt
from table1
group by c_emp, Date(c_sdate)) tmp
group by c_emp
SQL FIDDLE:
| C_EMP | OFFICE | WFH |
------------------------
| 1 | 2 | 2 |
| 2 | 0 | 1 |
For monthly report
SELECT c_emp, date_format(c_date, '%c %Y') as Mnth,
sum(if(cnt>=1,1,0)) as Office,
count(*)-sum(if(cnt>=1,1,0)) as WFH from (
select c_emp, Date(c_sdate) as c_date,
sum(if(c_sdate BETWEEN Date(c_sdate) + interval 8 hour
AND Date(c_sdate) + interval 20 hour, 1, 0)) as cnt
from table1
group by c_emp, Date(c_sdate)) tmp
group by c_emp,Mnth
SQL FIDDLE:
| C_EMP | MNTH | OFFICE | WFH |
---------------------------------
| 1 | 5 2013 | 2 | 1 |
| 1 | 6 2013 | 0 | 1 |
| 2 | 6 2013 | 0 | 1 |