I need to calculate the number of "working minutes" between two datetime values, lets call them 'Created' and 'Finished'.
'Finished' is always subsequent to 'Created'. The two values can differ by anything from 1 second to several years. The median difference is 50,000 seconds or roughly 14 hours.
Working minutes are defined as those occurring between 0900 to 1700 hours, Monday to Friday; excluding weekends and official holidays in our country.
I decided a lookup table was the way to go, so I generated a table of all work minutes, explicitly excluding weekends, nights and holidays...
CREATE TABLE `work_minutes` (
`min` datetime NOT NULL,
PRIMARY KEY (`min`),
UNIQUE KEY `min_UNIQUE` (`min`)
)
I populated this programatically with all the "working minutes" between years 2017 to 2024, and at this point I started to get the feeling I was being very inefficient as the table began to balloon to several hundred thousand rows.
I can do a lookup easily enough, for instance:
SELECT COUNT(min) FROM `work_minutes` AS wm
WHERE wm.min > '2022-01-04 00:04:03'
AND wm.min <= '2022-02-03 14:13:09';
#Returns 10394 'working minutes' in 0.078 sec
This is good enough for a one-off lookup but to query a table of 70,000 value pairs takes over 90 minutes.
So, I am uncomfortable with the slowness of the query and the sense that the lookup table is unnecessarily bloated.
I am thinking I need to set up two tables, one just for dates and another just for minutes, but not sure how to implement. Date logic has never been my forte. The most important thing to me is that the lookup can query over 70,000 values reasonably quickly and efficiently.
Working in MySQL 5.7.30. Thanks in advance for your expertise.