I\'ve got data in ten minutes intervals in my table:
2009-01-26 00:00:00 12
2009-01-26 00:10:00 1.1
2009-01-26 00:20:00 11
2009-01-26 00:30:00
There is also another possibility considering the fact that dates have a string representation in the database:
You can use SUBSTRING(thetime, 1, [len]), extracting the common part of your group. For the example with hourly averages you have the SQL query
SELECT SUBSTRING(thetime, 1, 13) AS hours, AVG(value) FROM hourly_averages GROUP BY hours
By the len parameter you can specify the aggregated time interval considering the MySQL date format yyyy-MM-dd HH:mm:ss[.SS...]:
len = 4: group by yearslen = 7: group by monthslen = 10: group by dayslen = 13: group by hourslen = 16: group by minuteslen = 19: group by secondsWe encountered a better performance of this method over using date and time function, especially when used in JOINs in MySQL 5.7. However in MySQL 8 at least for grouping both ways seem to take approximately the same time.
This should work:
SELECT AVG( value ) , thetime
FROM hourly_averages
GROUP BY HOUR( thetime )
Here's the result
AVG(value) thetime
5.4166666865349 2009-01-26 00:00:00
8.8666666348775 2009-01-26 01:00:00
3.5 2009-01-26 02:00:00
It's unclear whether you want the average to be aggregated over days or not.
If you want a different average for midnight on the 26th vs midnight on the 27th, then modify Mabwi's query thus:
SELECT AVG( value ) , thetime
FROM hourly_averages
GROUP BY DATE( thetime ), HOUR( thetime )
Note the additional DATE() in the GROUP BY clause. Without this, the query would average together all of the data from 00:00 to 00:59 without regard to the date on which it happened.