Hi Marek, Thanks for the additional information. If you could answer my earlier questions, that would be helpful.
If you can't repro with a simple test case, then how about attaching a csv dump of some of your data (the smallest amount of data that repros the issue) to a JIRA along with the CREATE TABLE statement and the query? Thanks, James On Mon, Apr 6, 2015 at 12:49 PM, Marek Wiewiorka <[email protected]> wrote: > Hi Guys - thanks for your messages. > > I did another round of testing I found that if I use to_char instead of > trunc function I'm getting the expected result: > > select to_char(dt,'yyyy-MM-dd'),id,stream,sum(usage) from usage where id in > (4720,6854) group by to_char(dt,'yyyy-MM-dd'),stream,id; > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > | TO_CHAR(DT) | ID > | STREAM | SUM(USAGE) > | > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > | 2015-03-19 | 4720 > | 0 | 8.405999999999999 > | > | 2015-03-19 | 6854 > | 0 | 28.339000000000006 > | > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > > the same query with trunc returns 48 rows (24 rows per id) > select trunc(dt,'DAY') as day,id,stream,sum(usage) from usage where id in > (4720,6854) group by trunc(dt,'DAY'),stream,id; > e.g.: > .... > | 2015-03-19 00:00:00.000 | 4720 | 0 > | 0.406 | > | 2015-03-19 00:00:00.000 | 6854 | 0 > | 0.9490000000000001 | > | 2015-03-19 00:00:00.000 | 4720 | 0 > | 0.332 | > | 2015-03-19 00:00:00.000 | 6854 | 0 > | 2.738 | > | 2015-03-19 00:00:00.000 | 4720 | 0 > | 0.33499999999999996 | > | 2015-03-19 00:00:00.000 | 6854 | 0 > | 2.421 | > | 2015-03-19 00:00:00.000 | 4720 | 0 > | 0.45599999999999996 | > | 2015-03-19 00:00:00.000 | 6854 | 0 > | 2.167 | > +-------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > > so for some reason grouping by trunc is not working...but using to_char is. > This applies for table loaded using psql from csv file. > > When tried to create a sample table and populate it with upserts everything > worked as expected in both cases: > > create table usage (dt time not null ,id integer not null,stream integer not > null, usage double constraint pk PRIMARY KEY(dt,id,stream )); > UPSERT INTO usage VALUES('2015-04-01 10:00:00',100,0,2.0); > UPSERT INTO usage VALUES('2015-04-01 11:00:00',100,0,3.0); > > UPSERT INTO usage VALUES('2015-04-01 12:00:00',200,0,4.0); > UPSERT INTO usage VALUES('2015-04-01 13:00:00',200,0,6.0); > > 0: jdbc:phoenix:dwh.sayene.com:2181:/hbase-un> select trunc(dt,'DAY') as > day,id,stream,sum(usage) from usage where id in (100,200) group by > trunc(dt,'DAY'),stream,id; > +-------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > | DAY | ID | > STREAM | SUM(USAGE) | > +-------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > | 2015-04-01 00:00:00.000 | 100 | 0 > | 5.0 | > | 2015-04-01 00:00:00.000 | 200 | 0 > | 10.0 | > +-------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > > 0: jdbc:phoenix:dwh.sayene.com:2181:/hbase-un> select > to_char(dt,'yyyy-MM-dd'),id,stream,sum(usage) from usage where id in > (100,200) group by to_char(dt,'yyyy-MM-dd'),stream,id; > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > | TO_CHAR(DT) | ID > | STREAM | SUM(USAGE) > | > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > | 2015-04-01 | 100 > | 0 | 5.0 > | > | 2015-04-01 | 200 > | 0 | 10.0 > | > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > 2 rows selected (1.49 seconds) > > > Shall I open a jira for that? > > Regards, > Marek > > > > > > > > > > > > 2015-04-06 20:16 GMT+02:00 James Taylor <[email protected]>: >> >> Hi Marek, >> How did you input the data and what does your CREATE TABLE/VIEW >> statement look like? What version of Phoenix and HBase are you using? >> >> Also, would you mind running the following query and letting us know the >> output? >> >> select to_char(hu_ts,'yyyy-MM-dd >> HH:mm:ss.SSS'),hu_ho_id,hu_stream_id,hu_usage >> from se_dwh.homes_usage_hour >> where hu_ho_id in (4720,6854); >> >> Thanks, >> James >> >> On Mon, Apr 6, 2015 at 10:34 AM, Gabriel Reid <[email protected]> >> wrote: >> > That certainly looks like a bug. Would it be possible to make a small >> > reproducible test case and if possible, log this in the Phoenix JIRA >> > (https://issues.apache.org/jira/browse/PHOENIX) ? >> > >> > - Gabriel >> > >> > On Mon, Apr 6, 2015 at 6:10 PM Marek Wiewiorka >> > <[email protected]> >> > wrote: >> >> >> >> Hi All, >> >> I came across a weird situation while running a query with group by. >> >> I executed 2 queries: >> >> >> >> 1) >> >> select trunc(hu_ts,'DAY',1),hu_ho_id,hu_stream_id,sum(hu_usage) from >> >> se_dwh.homes_usage_hour where hu_ho_id in (4720,6854) group by >> >> trunc(hu_ts,'DAY',1),hu_ho_id ,hu_stream_id; >> >> >> >> | 2015-03-19 00:00:00.000 | 4720 | >> >> 0 >> >> | 0.45599999999999996 | >> >> | 2015-03-19 00:00:00.000 | 6854 | >> >> 0 >> >> | 2.167 | >> >> >> >> >> >> 2) >> >> >> >> select trunc(hu_ts,'DAY',1),hu_ho_id,hu_stream_id,sum(hu_usage) from >> >> se_dwh.homes_usage_hour where hu_ho_id in (4720) group by >> >> trunc(hu_ts,'DAY',1),hu_ho_id ,hu_stream_id; >> >> >> >> | 2015-03-19 00:00:00.000 | 4720 | >> >> 0 >> >> | 8.405999999999999 | >> >> >> >> >> >> The only difference is that in the first case I included 2 >> >> ids(4720,6854) >> >> and in the other one only 1 (4720). >> >> The result for hu_ho_id=4720 should be the same in both case but it >> >> isn't >> >> (0.45 vs 8.4). >> >> The second result(8.4) is correct. >> >> >> >> Am I doing something wrong? >> >> >> >> Regards, >> >> Marek >> >> >> > > >
