Sum value by hourly for IST data in UTC database - mysql

Question

My DB in UTC timezone and data inserting in UTC time. I want to sum all values and group by hourly for IST time data. like below,
id data_id value serverTime
1 2 100 2016-05-02 18:30:54
2 2 100 2016-05-02 18:45:54
4 2 200 2016-05-02 19:00:54
5 2 100 2016-05-02 19:15:54
6 2 100 2016-05-02 19:30:54
7 2 100 2016-05-02 19:40:54
Query
select sum(value) as value, serverTime as date
from Data_table
where data_id=2
and serverTime between CONVERT_TZ('2016-05-03 00:00:01','+00:00', '-05:30')
and CONVERT_TZ('2016-05-03 10:45:24','+00:00', '-05:30')
group by year(date),month(date),week(date),day(date),hour(date);
above query giving result is :
200
500
But Expecting output :
600
100
because IST 12 AM = UTC- 05:30 which means 18:30 to 19:30 but here my query calculating only 18:30 to 19:00, 19:00 to 20:00, 20:00 to 21:00 which is not accuracy value.
I want to calculate value for 18:30 to 19:30 and 19:30 to 20:30 for accuracy value for IST time data.
How to solve this?

Answer 1

By IST, I assume you mean India Standard Time, which is 5 hours and 30 minutes ahead of UTC. As a fixed offset, that would be +05:30, not -05:30. You're results are incorrect because you have the sign inverted.
The CONVERT_TZ function accepts any of:
'SYSTEM' for the local system time zone
Fixed offsets in standard ISO 8601 format, which have positive offsets East of UTC, such as '+05:30' for India, or '-10:00' for Hawaii.
Named time zones, using standard IANA/Olson TZDB identifiers, assuming the time zone tables are populated. India's is 'Asia/Kolkata', US Eastern time is 'America/New_York', etc. Using this option requires the mysql time zone tables to be populated, per the documentation.
In general, named time zones are preferred because they accommodate changes in offset due to daylight saving time and historical changes. However, India has been fixed at +05:30 since 1942 and isn't likely to change in the near future, so it's reasonable to use the fixed offset approach if this is the only time zone you need to deal with.
Also note that "IST", like many time zone abbreviations, is ambiguous. It can mean India Standard Time (+05:30), Ireland Standard Time (+01:00) or Israel Standard Time (+02:00). Also note that Ireland Standard Time is actually a daylight time zone offset, despite having the name "Standard" in it. To avoid confusion, please specify your particular location when referring to IST in the future, and don't ever expect a computer to be able to distinguish them.

Answer 2

You should convert also date in group by
select sum(value) as value , hour(CONVERT_TZ(serverTime, '+00:00', '-05:30')) as hour
from Data_table
where data_id=2
and serverTime between CONVERT_TZ('2016-05-03 00:00:01','+00:00', '-05:30')
and CONVERT_TZ('2016-05-03 10:45:24','+00:00', '-05:30')
group hour(CONVERT_TZ(serverTime, '+00:00', '-05:30'));
Test for between condition
select CONVERT_TZ('2016-05-03 00:00:01','+00:00', '-05:30') ,
CONVERT_TZ('2016-05-03 10:45:24','+00:00', '-05:30') from dual;
select CONVERT_TZ('2016-05-03 00:00:01','+00:00', '-05:30') ,
CONVERT_TZ('2016-06-03 01:00:24','+00:00', '-05:30') from dual;