I can't find solution how can I sort data form three datasets. I have one static dataset and two matrix tables which I want to connect in one report. Every table has the same ID which I can use to connect them (the same number of rows as well) but don't know how could I do this? Is it possibile to connect few datasets?
table1:
N ID St From To
1 541 7727549 08:30:00 14:00:00
2 631 7727575 07:00:00 15:00:00
3 668 7727552 09:00:00 17:00:00
4 679 18:00:00 00:00:00
5 721 17:00:00 00:00:00
table:2
ID P1 P2 P3 P4
541 12:00:00 - 12:10:00
631 08:45:00 - 08:55:00 11:30:00 - 11:40:00 13:00:00 - 13:15:00
668 12:05:00 - 12:15:00 13:45:00 - 13:55:00 14:55:00 - 15:10:00
679 21:15:00 - 21:30:00
721 20:40:00 - 20:50:00 21:50:00 - 22:05:00
table3:
ID W1 W2 W3
541 11:28:58 - 11:39:13
631 08:46:54 - 08:58:43 11:07:04 - 11:17:05
668 11:26:11 - 11:41:44
679
721 11:07:19 - 11:17:06
Related
I want to group by the JobId, StartTime & EndTime only for continuous days. If a specific row doesn't form part of a range it should be discarded. The Id's should also pivot into a column per grouping.
Id
Date
StartTime
EndTime
JobId
1
2021-08-23
08:30:00
19:00:00
1
2
2021-08-24
08:30:00
19:00:00
1
3
2021-08-24
12:30:00
14:30:00
2
4
2021-08-24
15:30:00
19:00:00
1
5
2021-08-25
08:30:00
19:00:00
1
6
2021-08-25
12:30:00
14:30:00
2
7
2021-08-25
15:45:00
19:00:00
1
8
2021-08-26
08:30:00
09:30:00
1
9
2021-08-26
15:30:00
19:00:00
1
10
2021-08-26
10:30:00
11:00:00
1
11
2021-08-26
12:00:00
14:30:00
1
12
2021-08-27
08:30:00
09:30:00
1
13
2021-08-27
11:00:00
11:15:00
1
14
2021-08-27
11:30:00
14:30:00
1
15
2021-08-28
08:30:00
09:30:00
1
Using the above sample data you can see 3 groupings that can form such a continuous range.
Range 1 consists of Id's, 1,2 & 5 - 2021-08-23 to 2021-08-25, 08:30:00 to 19:00:00
Range 2 consists of Id's 3 & 6 - 2021-08-24 to 2021-08-25, 12:30:00 to 14:30:00
Range 3 consists of Id's 8, 12 & 15 - 2021-08-26 to 2021-08-28, 08:30:00 to 09:30:00
The end result should be:
JobId
StartDate
EndDate
StartTime
EndTime
Ids
1
2021-08-23
2021-08-25
08:30:00
19:00:00
1,2,5
2
2021-08-24
2021-08-25
12:30:00
14:30:00
3,6
1
2021-08-26
2021-08-28
08:30:00
09:30:00
8,12,15
MySQL 8.0.23
Assuming that JobId, `Date`, StartTime, EndTime is unique you may use:
SELECT JobId,
MIN(`Date`) StartDate,
MAX(`Date`) EndDate,
StartTime,
EndTime,
GROUP_CONCAT(Id) Ids
FROM test
GROUP BY JobId,
StartTime,
EndTime
HAVING COUNT(*) > 1
AND DATEDIFF(EndDate, StartDate) = COUNT(*) - 1
ORDER BY StartDate, StartTime
https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=fce8590f72ac1d50cd9e89add3ed01e7
I`w got an 2 tables with such data:
Table 1
id
s_id
s_date
1
33
2021-03-05 10:36:59
2
33
2021-03-06 10:36:59
3
33
2021-03-09 10:36:59
4
33
2021-03-10 13:36:59
5
33
2021-03-11 12:36:59
6
33
2021-03-12 09:00:59
7
33
2021-03-13 13:36:59
8
33
2021-03-14 18:00:00
9
33
2021-03-15 18:00:00
10
33
2021-03-16 13:00:00
11
33
2021-03-17 18:00:00
12
33
2021-03-18 14:00:00
13
33
2021-04-01 18:00:00
14
33
2021-05-02 14:00:00
Table 2
id
s_id
amount
date_from
date_to
1
33
100
2012-03-12 00:00:00
2022-01-01 00:00:00
2
33
200
2018-03-12 00:00:09
2021-02-28 00:00:00
3
33
300
2021-03-01 00:00:00
2021-03-31 00:00:00
4
33
400
2021-03-07 00:00:00
2021-03-12 00:00:00
How to select row with appropriate id where s_date between date_from and date_to most close to date_from\date_to range?
In my case most appropriate rows must be:
id
s_id
s_date
amount
1
33
2021-03-05 10:36:59
300
2
33
2021-03-06 10:36:59
300
3
33
2021-03-09 10:36:59
400
4
33
2021-03-10 13:36:59
400
5
33
2021-03-11 12:36:59
400
6
33
2021-03-12 09:00:59
400
7
33
2021-03-13 13:36:59
300
8
33
2021-03-14 18:00:00
300
9
33
2021-03-15 18:00:00
300
10
33
2021-03-16 13:00:00
300
11
33
2021-03-17 18:00:00
300
12
33
2021-03-18 14:00:00
300
13
33
2021-04-01 18:00:00
100
14
33
2021-05-02 14:00:00
100
Thank you!
You can get the mid date for each pair of date_from and date_to with:
(UNIX_TIMESTAMP(date_from) + UNIX_TIMESTAMP(date_to)) / 2
Then find the absolute difference from s_date and sort by that:
SELECT *
FROM tablename
ORDER BY ABS(UNIX_TIMESTAMP(s_date) - ((UNIX_TIMESTAMP(date_from) + UNIX_TIMESTAMP(date_to)) / 2))
You can apply LIMIT 2 to get the 2 most appropriate ids.
See the demo.
Do you want to filter for the rows using date comparisons? For your examples:
select t.*
from t
where s_date >= date_from and s.date < date_to;
I'm trying to filter, so the column salaryMonth only contains data which has 2020 inside, so 2019 is filtering out.
SELECT sum(km_amount) as total
, user_id
, salaryMonth
from kms
, users
where users.id = kms.user_id
group
by salaryMonth
, user_id
Did you try something like this?
SELECT
sum(km_amount) as total,
user_id,
salaryMonth
FROM kms, users
WHERE
users.id=kms.user_id
AND salaryMonth LIKE '%2020%'
GROUP BY
salaryMonth, user_id
You could save yourself no end of misery be refactoring your table as:
total user_id salary_yearmonth
625 64 2020-02-01
595 70 2020-02-01
600 74 2020-02-01
632 75 2020-02-01
471 77 2020-02-01
788 29 2019-03-01
35 4 2020-03-01
22 39 2020-03-01
373 47 2020-03-01
196 53 2020-03-01
140 74 2020-03-01
228 75 2020-03-01
49 29 2019-04-01
96 63 2019-05-01
406 4 2019-06-01
966 4 2019-07-01
514 1 2019-08-01
637 4 2019-08-01
580 47 2019-08-01
11 1 2019-09-01
I have table structure in mysql,
table_id no_people booking_date bookingend_time bookingstart_time
14 2 2014-10-31 2014-10-31 13:30:00 2014-10-31 11:00:00
5 4 2014-10-31 2014-10-31 16:30:00 2014-10-31 14:30:00
6 2 2014-10-31 2014-10-31 17:00:00 2014-10-31 16:00:00
2 4 2014-11-06 2014-11-06 12:30:00 2014-11-06 10:00:00
2 4 2014-10-31 2014-10-31 16:00:00 2014-10-31 14:00:00
3 4 2014-11-01 2014-11-01 09:00:00 2014-11-01 07:30:00
6 2 2014-11-01 2014-11-01 10:00:00 2014-11-01 07:30:00
2 4 2014-11-03 2014-11-03 10:30:00 2014-11-03 08:30:00
5 4 2014-11-04 2014-11-04 10:30:00 2014-11-04 08:30:00
3 4 2014-11-05 2014-11-05 09:30:00 2014-11-05 07:30:00
14 2 2014-11-05 2014-11-05 09:30:00 2014-11-05 07:30:00
I want to retrieve table_id data with 30 minutes of interval between start and end time.
Ex:
if i give booking start time 10:30 and end time 12:30 i should get 14 as row..
Similarly it should check all rows and return between two times ..
My query so far
SELECT `table_id` FROM `booking` WHERE bookingstart_time>='2014-10-31 10:30:00' AND bookingend_time<='2014-10-31 11:30:00'
Step 1: expand the input time frame by 30 minutes before and 30 minutes after. DATE_ADD() and DATE_SUB() can do that:
DATE_SUB(_input_start_date_here_, INTERVAL 30 MINUTE)
Step 2: rethink your problem in terms of start and end times. Here are the possible cases:
if the booking started during the (expanded) period, then you want this booking in your result
or if the booking started before the period, then you want this booking unless it also ended before the period
on the other hand, if the booking started after the period, then you do not want this booking
The first situation above could be expressed like this:
WHERE bookingstart_time >= DATE_SUB(_input_start_date_here_, INTERVAL 30 MINUTE)
AND bookingstart_time <= DATE_ADD(_input_end_date_here_, INTERVAL 30 MINUTE)
The second condition is left as an exercise. You can also rewrite the above with a more elegant BETWEEN operator.
SELECT restaurant_table FROM rest_restaurantbooking WHERE TIMESTAMPDIFF(SECOND, bookingstart_time, bookingend_time) > 1800.
FOR REFERENCE: HERE
I am not sure why my numbers are drastically off from each other.
A query with no max id:
SELECT id, DATE_FORMAT(t_stamp, '%Y-%m-%d %H:00:00') as date, COUNT(*) as count
FROM test_ips
WHERE id > 0
AND viewip != ""
GROUP BY HOUR(t_stamp)
ORDER BY t_stamp ASC;
I get:
1 2012-07-18 19:00:00 1313
106 2012-07-18 20:00:00 1567
107 2012-07-19 09:00:00 847
225 2012-07-19 10:00:00 5095
421 2012-07-19 11:00:00 205
423 2012-07-19 12:00:00 900
461 2012-07-19 13:00:00 619
490 2012-07-20 15:00:00 729
575 2012-07-20 16:00:00 1682
1060 2012-07-20 17:00:00 2063
2260 2012-07-20 18:00:00 1417
5859 2012-07-20 21:00:00 1303
7060 2012-07-20 22:00:00 1340
8280 2012-07-20 23:00:00 1211
9149 2012-07-21 00:00:00 1675
10418 2012-07-21 01:00:00 721
11127 2012-07-21 02:00:00 825
But if I add a max id:
AND id <= 8279
I get:
1 2012-07-18 19:00:00 1313
106 2012-07-18 20:00:00 1201
107 2012-07-19 09:00:00 118
225 2012-07-19 10:00:00 196
421 2012-07-19 11:00:00 2
423 2012-07-19 12:00:00 38
461 2012-07-19 13:00:00 20
490 2012-07-20 15:00:00 85
575 2012-07-20 16:00:00 483
1060 2012-07-20 17:00:00 1200
2260 2012-07-20 18:00:00 1200
5859 2012-07-20 21:00:00 1201
7060 2012-07-20 22:00:00 1220
The numbers are WAY off from each other. Something is goofy.
EDIT: Here is my table structure:
id t_stamp bID viewip unique
1 2012-07-18 19:22:20 5 192.168.1.1 1
2 2012-07-18 19:22:21 1 192.168.1.1 1
3 2012-07-18 19:22:22 5 192.168.1.1 0
4 2012-07-18 19:22:22 3 192.168.1.1 1
You are not grouping by ID and I think you intend to.
Try:
SELECT id, DATE_FORMAT(t_stamp, '%Y-%m-%d %H:00:00') as date, COUNT(*) as count
FROM test_ips
WHERE id > 0
AND viewip != ""
GROUP BY id, DATE_FORMAT(t_stamp, '%Y-%m-%d %H:00:00')
ORDER BY t_stamp;
Your query is not consistent.
In your select statement you are displaying the full date.
But you are grouping your data by the hour. So your count statement is taking the count of all the data for each hour of the day.
As an example take your first result:
1 2012-07-18 19:00:00 1313
The count of 1313 contains the records for all of your dates (7/18, 7/19, 7/20, 7/21, 7/22, etc) that have an hour of 19:00.
But the way you have your query setup, it looks like it should be the count of all records for 2012-07-18 19:00:00.
So when you add AND id <= 8279" The dates of 7/21 and some of 7/20 or no longer being counted so your count values are now lower.
I'm guessing you are meaning to group by the date and hour and not just the hour.