Fra: Magnus Hagander <mag...@hagander.net> Sendt: 15. april 2020 20:05 Til: Niels Jespersen <n...@dst.dk> Cc: pgsql-general@lists.postgresql.org Emne: Re: timestamp and timestamptz
On Wed, Apr 15, 2020 at 7:50 PM Niels Jespersen <n...@dst.dk<mailto:n...@dst.dk>> wrote: Hello all We have some data that have entered a timestamp column from a csv. The data in the csv are in utc. We want to access the data in our native timezone (CET). I am considering a few alternatives: 1. Early in the process, convert to timestamptz and keep this datatype. 2. Early in the process, convert to timestamp as understood in CET. This will imply by convention that the data in the timestamp column represents CET. Users will need to be told that data represents CET, even if data is somwhere in the future kept in another country in another timezone. I probably should choose 1 over 2. But I am a bit hesitant, probably because we almost never have used timestamptz. Yes, you should. Can we agree that the below query is selecting both the original utc timestamps and 2 and 1 (as decribed above)? set timezone to 'cet'; select read_time read_time_utc, (read_time at time zone 'utc')::timestamp read_time_cet, (read_time at time zone 'utc')::timestamptz read_time_tz from t limit 10; As long as you use option 1: SELECT read_time will return the time in CET (as a timestamptz) after you've set timezone to 'cet'. If you set timezone to 'utc' it will directly return utc. SELECT read_time AT TIME ZONE 'utc' will return the time in UTC (as a timestamp) And just make sure you have done a "set time zone 'utc'" before you *load* the data, and everything should just work automatically. -- Magnus Hagander Me: https://www.hagander.net/<http://www.hagander.net/> Work: https://www.redpill-linpro.com/<http://www.redpill-linpro.com/> Thank you Magnus (and others) for your replies. The raw input data are in this, slightly strange format: 2019.05.01 00:00:00. No timezone indicator, just an informal guarantee from the supplier that it is indeed utc. And no real chance of changing the format. We know, from experience. The data volume is a bit high, a few billion rows pr month. So, table partitioning is very helpful (aka really indispensable). Data will be aggregated in several ways for analytics. Time aggregations must be according to our local timezone (cet). We do not want data from one day being aggregated into the wrong date because of timezone issues. This means that partition boundaries (monthly pratitions most often, sometimes day partitions) must be on CET-boundaries so that partition pruning will pull data from the relevant cet-month not the utc-month. Now, if I load data into a timestamptz with timezone set to utc, partition to cet-boundaries, query and aggredate with timezone set to cet, everything wil be ok, I think. My small testcase below shows that the row goes into the april-partition (as it should). The planner does the correct partition pruning according to specified filtering and set timezone. All good. create table t (t_id bigserial, ts timestamptz) partition by range (ts); create table t_2020_02 partition of t for values from ('2020-02-01 00:00:00+01') to ('2020-03-01 00:00:00+01'); create table t_2020_03 partition of t for values from ('2020-03-01 00:00:00+01') to ('2020-04-01 00:00:00+02'); create table t_2020_04 partition of t for values from ('2020-04-01 00:00:00+02') to ('2020-05-01 00:00:00+02'); set timezone to 'utc'; insert into t (ts) values('2020-03-31 23:30:00'); Once again, thank you for invaluable feedback. Niels Jespersen
