Обсуждение: problem with the sum function

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problem with the sum function

От
Marco Kienzle
Дата:
The following problem occur using the sum() function (see the attached
file for all the details and an example):
    - if you use it on a portion of a table (example: table age) you get a
result that differ from the one you can get by hand (see the whole table
temp1 and do the sum by hand)
    - if you use the sum() function on the complete table (i.e. if you
first create a temporary table and then run the sum() function) then you
get the right result (see example on temp1).

Conclusion: I am not sure its really a bug but this differences can be
really misleading.

Have a nice day,
marco
--
____________________________________________________________________________

Marco Kienzle
Fisheries Research Services
Marine Laboratory
PO Box 101 Victoria Road
Aberdeen AB119DB
United Kingdom

tel: +44 (0) 1224 876544
direct: +44 (0) 1224 295412
fax: +44 (0) 1224 295511
http://www.marlab.ac.uk

Вложения

Re: problem with the sum function

От
Dmitry Tkach
Дата:
'group by' must be your problem.
If you remove that clause from your second query, you should then get
the same result (77) sum'ing the temp table...

I hope, it helps...

Dima

Marco Kienzle wrote:

>The following problem occur using the sum() function (see the attached
>file for all the details and an example):
>    - if you use it on a portion of a table (example: table age) you get a
>result that differ from the one you can get by hand (see the whole table
>temp1 and do the sum by hand)
>    - if you use the sum() function on the complete table (i.e. if you
>first create a temporary table and then run the sum() function) then you
>get the right result (see example on temp1).
>
>Conclusion: I am not sure its really a bug but this differences can be
>really misleading.
>
>Have a nice day,
>marco
>
>
>------------------------------------------------------------------------
>
>SYSTEM INFORMATION
>Distribution:                  Red Hat Linux
>Operating System:              Linux
>Distribution Version:          Red Hat Linux release 7.2 (Enigma)
>
>Operating System Version:      #1 Thu Sep 6 17:27:27 EDT 2001
>Operating System Release:      2.4.7-10
>Processor Type:                i686
>------------------------------------------------------------------------------
>THE VERSION OF POSTGRESQL
>
>bash-2.05$ psql --version
>psql (PostgreSQL) 7.1.3
>contains readline, history, multibyte support
>Portions Copyright (c) 1996-2001, PostgreSQL Global Development Group
>Portions Copyright (c) 1996 Regents of the University of California
>Read the file COPYRIGHT or use the command \copyright to see the
>usage and distribution terms.
>
>------------------------------------------------------------------------------
>THE DESCRIPTION OF THE TABLE AGE
>
>herring=# \d age
>                   Table "age"
>   Attribute   |         Type          | Modifier
>---------------+-----------------------+----------
> code          | character varying(10) |
> inst          | character varying(10) |
> year          | smallint              |
> quart         | smallint              |
> month         | smallint              |
> reg           | character varying(10) |
> div           | character varying(10) |
> subdiv        | character varying(10) |
> gridcell      | character varying(10) |
> sp            | character varying(50) |
> stock         | character varying(10) |
> samptype      | character varying(10) |
> lengthcell    | smallint              |
> sex           | character varying(10) |
> age           | smallint              |
> agenum        | bigint                |
> weightmeanage | double precision      |
>
>----------------------------------------------------------------------------
>THE SUM QUERY ON THE TABLE AGE
>
>herring=# select sum(agenum) from age where weightmeanage>0 and lengthcell=160;
> sum
>-----
>  77
>(1 row)
>
>-----------------------------------------------------------------------------
>CREATION OF THE TABLE TEMP1
>
> select INTO TABLE temp1 inst, year, month, lengthcell, sex, age, agenum, weightmeanage from age where weightmeanage>0
andlengthcell=160 group by inst, year, month, lengthcell, sex,age,agenum, weightmeanage; 
>------------------------------------------------------------------------------
>THE TABLE DESCRIPTION OF THE TABLE TEMP1
>
>herring=# \d temp1
>                  Table "temp1"
>   Attribute   |         Type          | Modifier
>---------------+-----------------------+----------
> inst          | character varying(10) |
> year          | smallint              |
> month         | smallint              |
> lengthcell    | smallint              |
> sex           | character varying(10) |
> age           | smallint              |
> agenum        | bigint                |
> weightmeanage | double precision      |
>
>----------------------------------------------------------------------
>THE WHOLE TABLE TEMP1
>
>herring=# select * from temp1;
> inst | year | month | lengthcell | sex | age | agenum | weightmeanage
>------+------+-------+------------+-----+-----+--------+---------------
> IMR  | 1991 |     2 |        160 | F   |   1 |     10 |            31
> IMR  | 1991 |     2 |        160 | M   |   1 |      3 |            32
> IMR  | 1992 |     2 |        160 | F   |   1 |      1 |            25
> IMR  | 1992 |     2 |        160 | F   |   1 |      1 |            26
> IMR  | 1992 |     2 |        160 | M   |   1 |      1 |            25
> IMR  | 1992 |     2 |        160 | M   |   1 |      1 |            28
> IMR  | 1992 |     5 |        160 | M   |   1 |      1 |            34
> IMR  | 1992 |     6 |        160 | F   |   1 |      1 |            30
> IMR  | 1992 |    10 |        160 | F   |   0 |      0 |            34
> IMR  | 1992 |    10 |        160 | M   |   0 |      0 |            25
> IMR  | 1993 |     2 |        160 | F   |   1 |      1 |            27
> IMR  | 1993 |     2 |        160 | F   |   1 |      1 |            28
> IMR  | 1993 |     2 |        160 | F   |   1 |      1 |            29
> IMR  | 1993 |     2 |        160 | F   |   1 |      1 |            30
> IMR  | 1993 |     2 |        160 | M   |   1 |      1 |            27
> IMR  | 1993 |     2 |        160 | M   |   1 |      1 |            28
> IMR  | 1993 |     2 |        160 | M   |   1 |      1 |            29
> IMR  | 1993 |    11 |        160 | F   |   0 |      0 |            30
> IMR  | 1993 |    11 |        160 | M   |   0 |      0 |            28
> IMR  | 1994 |     5 |        160 | F   |   1 |      1 |            38
> IMR  | 1994 |     5 |        160 | F   |   1 |      1 |            42
> IMR  | 1994 |     5 |        160 | M   |   1 |      1 |            34
> IMR  | 1994 |     5 |        160 | M   |   1 |      1 |            39
> IMR  | 1994 |    11 |        160 | F   |   0 |      0 |            31
> IMR  | 1995 |     1 |        160 | F   |   1 |      1 |            27
> IMR  | 1995 |     1 |        160 | F   |   1 |      1 |            28
> IMR  | 1995 |     1 |        160 | F   |   2 |      2 |            28
> IMR  | 1995 |     1 |        160 | F   |   2 |      2 |            29
> IMR  | 1995 |     1 |        160 | M   |   1 |      1 |            26
> IMR  | 1995 |     1 |        160 | M   |   1 |      1 |            27
> IMR  | 1995 |     1 |        160 | M   |   1 |      1 |            29
> IMR  | 1995 |     1 |        160 | M   |   1 |      1 |            30
> IMR  | 1995 |     1 |        160 | M   |   2 |      2 |            26
> IMR  | 1995 |     5 |        160 | F   |   1 |      1 |            29
> IMR  | 1995 |     5 |        160 | F   |   1 |      1 |            34
> IMR  | 1995 |     5 |        160 | F   |   1 |      1 |            37
> IMR  | 1995 |     5 |        160 | F   |   1 |      1 |            38
> IMR  | 1995 |     5 |        160 | M   |   1 |      1 |            23
> IMR  | 1995 |     5 |        160 | M   |   1 |      1 |            37
> IMR  | 1995 |     6 |        160 | F   |   1 |      1 |            32
> IMR  | 1995 |     6 |        160 | M   |   1 |      1 |            32
> IMR  | 1995 |     7 |        160 | F   |   1 |      1 |            31
> IMR  | 1995 |     7 |        160 | F   |   1 |      1 |            37
> IMR  | 1995 |     7 |        160 | M   |   1 |      1 |            32
> IMR  | 1995 |     7 |        160 | M   |   1 |      1 |            35
> IMR  | 1995 |    11 |        160 | F   |   0 |      0 |            29
> IMR  | 1995 |    11 |        160 | F   |   0 |      0 |            31
> IMR  | 1995 |    11 |        160 | M   |   0 |      0 |            29
> IMR  | 1995 |    11 |        160 | M   |   0 |      0 |            31
> IMR  | 1995 |    11 |        160 | M   |   0 |      0 |            33
> IMR  | 1996 |     2 |        160 | F   |   1 |      1 |            29
> IMR  | 1996 |     2 |        160 | F   |   1 |      1 |            31
> IMR  | 1996 |     2 |        160 | M   |   1 |      1 |            28
> IMR  | 1996 |    11 |        160 | M   |   0 |      0 |            32
> IMR  | 1997 |     5 |        160 | F   |   1 |      1 |            41
> IMR  | 1997 |     5 |        160 | M   |   1 |      1 |            39
> IMR  | 1997 |     5 |        160 | M   |   1 |      1 |            46
> IMR  | 1997 |     7 |        160 | F   |   1 |      1 |            30
> IMR  | 1997 |     7 |        160 | M   |   1 |      1 |            28
> IMR  | 1997 |     7 |        160 | M   |   1 |      1 |            32
> IMR  | 1998 |     6 |        160 | F   |   1 |      1 |            40
> IMR  | 1998 |     6 |        160 | M   |   1 |      1 |            31
> IMR  | 1998 |    11 |        160 | F   |   0 |      0 |            29
> IMR  | 1998 |    11 |        160 | M   |   0 |      0 |            29
> IMR  | 1999 |     2 |        160 | F   |   1 |      1 |            26
> IMR  | 1999 |     6 |        160 | F   |   1 |      1 |            29
> IMR  | 1999 |     7 |        160 | F   |   1 |      1 |            32
> IMR  | 1999 |     7 |        160 | F   |   1 |      1 |            33
> IMR  | 1999 |     7 |        160 | F   |   1 |      1 |            34
> IMR  | 1999 |     7 |        160 | M   |   1 |      1 |            30
> IMR  | 1999 |     7 |        160 | M   |   1 |      1 |            31
> IMR  | 1999 |     7 |        160 | M   |   1 |      1 |            32
>(72 rows)
>------------------------------------------------------------------------------
>THE SUM QUERY ON TEMP1
>
>herring=# select sum(agenum) from temp1;
> sum
>-----
>  73
>(1 row)
>
>______________________________________________________________________________
>
>
>------------------------------------------------------------------------
>
>
>---------------------------(end of broadcast)---------------------------
>TIP 4: Don't 'kill -9' the postmaster
>

Re: problem with the sum function

От
Tom Lane
Дата:
Marco Kienzle <m.kienzle@marlab.ac.uk> writes:
> herring=3D# select sum(agenum) from age where weightmeanage>0 and lengthcel=
> l=3D160;
>  sum=20
> -----
>   77
> (1 row)

>  select INTO TABLE temp1 inst, year, month, lengthcell, sex, age, agenum, w=
> eightmeanage from age where weightmeanage>0 and lengthcell=3D160 group by i=
> nst, year, month, lengthcell, sex,age,agenum, weightmeanage;

> herring=3D# select sum(agenum) from temp1;
>  sum=20
> -----
>   73
> (1 row)

Why would you expect these to give the same result?  The "group by"
effectively eliminates duplicate rows, thus removing some contributions
to the sum.

            regards, tom lane

Re: problem with the sum function

От
Stephan Szabo
Дата:
On 7 May 2002, Marco Kienzle wrote:

> The following problem occur using the sum() function (see the attached
> file for all the details and an example):
>     - if you use it on a portion of a table (example: table age) you get a
> result that differ from the one you can get by hand (see the whole table
> temp1 and do the sum by hand)
>     - if you use the sum() function on the complete table (i.e. if you
> first create a temporary table and then run the sum() function) then you
> get the right result (see example on temp1).

Well, since you didn't give data on age, I can't tell for certain, but
your temp table is not necessarily the same as the source. With that
group by I believe you're dropping duplicates if there are any.  I'd
suggest seeing what (untested sql)

select inst,year,month,lengthcell,sex,age,agenum,weightmeanage,count(*)
from age where weightmeanage>0 and lengthcell=160 group by inst,
year,month,lengthcell,sex,age,agenum,weightmeanage having count(*)>1;

gives you.