psql from a csv file: ./psql.py dwh:2181:/hbase-unsecure -t SE_DWH.HOMES_USAGE_HOUR /mnt/spark/export/usage_convert.txt/usage_merged.csv
Here is a sample: 2015-03-19 23:59:59,6854,0,2.167 2015-03-19 22:59:59,6854,0,2.421 2015-03-19 21:59:59,6854,0,2.738 2015-03-19 20:59:59,6854,0,0.9490000000000001 2015-03-19 19:59:59,6854,0,0.748 2015-03-19 18:59:59,6854,0,2.76 2015-03-19 17:59:59,6854,0,1.801 2015-03-19 16:59:59,6854,0,0.661 2015-03-19 15:59:59,6854,0,1.082 2015-03-19 14:59:59,6854,0,1.303 M. 2015-04-06 22:38 GMT+02:00 James Taylor <[email protected]>: > How did you input the data? > > On Mon, Apr 6, 2015 at 1:27 PM, Marek Wiewiorka > <[email protected]> wrote: > > Oh I'm sorry I forgot to attach them: > > DDL of my table: > > create table se_dwh.homes_usage_hour (hu_ts time not null ,hu_ho_id > integer > > not null ,hu_stream_id integer not null, hu_usage double constraint pk > > PRIMARY KEY(hu_ts,hu_ho_id,hu_stream_id) ); > > > > Phoenix: 4.3.0 > > > > Thanks, > > Marek > > > > > > 2015-04-06 22:25 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? > >> Thanks, > >> James > >> > >> On Monday, April 6, 2015, Marek Wiewiorka <[email protected]> > >> wrote: > >>> > >>> Hi James - sure here is the result of your query (limited to 5 rows): > >>> > >>> > >>> > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > >>> | TO_CHAR(HU_TS) | HU_HO_ID > >>> | HU_STREAM_ID | HU_USAGE > >>> | > >>> > >>> > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > >>> | 2015-03-19 00:59:59.000 | 4720 > >>> | 0 | 0.287 > >>> | > >>> | 2015-03-19 00:59:59.000 | 6854 > >>> | 0 | 3.6189999999999998 > >>> | > >>> | 2015-03-19 01:59:59.000 | 4720 > >>> | 0 | 0.323 > >>> | > >>> | 2015-03-19 01:59:59.000 | 6854 > >>> | 0 | 2.556 > >>> | > >>> | 2015-03-19 02:59:59.000 | 4720 > >>> | 0 | 0.37 > >>> | > >>> > >>> > +------------------------------------------+------------------------------------------+------------------------------------------+------------------------------------------+ > >>> > >>> Ok - I will try to prepare a sample csv with DDL/DML. > >>> > >>> Thanks again, > >>> Marek > >>> > >>> > >>> 2015-04-06 22:06 GMT+02:00 James Taylor <[email protected]>: > >>>> > >>>> 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 > >>>> >> >> > >>>> >> > > >>>> > > >>>> > > >>> > >>> > > >
