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From Marek Wiewiorka <marek.wiewio...@gmail.com>
Subject Re: group by problem
Date Mon, 06 Apr 2015 20:48:29 GMT
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 <jamestaylor@apache.org>:

> How did you input the data?
>
> On Mon, Apr 6, 2015 at 1:27 PM, Marek Wiewiorka
> <marek.wiewiorka@gmail.com> 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 <jamestaylor@apache.org>:
> >>
> >> 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 <marek.wiewiorka@gmail.com>
> >> 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 <jamestaylor@apache.org>:
> >>>>
> >>>> 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
> >>>> <marek.wiewiorka@gmail.com> 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 <jamestaylor@apache.org>:
> >>>> >>
> >>>> >> 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
> >>>> >> <gabriel.reid@gmail.com>
> >>>> >> 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
> >>>> >> > <marek.wiewiorka@gmail.com>
> >>>> >> > 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
> >>>> >> >>
> >>>> >> >
> >>>> >
> >>>> >
> >>>
> >>>
> >
>

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