Re: multi-column aggregates

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От Berend Tober
Тема Re: multi-column aggregates
Дата
Msg-id 44108DFE.5000001@seaworthysys.com
обсуждение исходный текст
Ответ на Re: multi-column aggregates  (Chris Kratz <chris.kratz@vistashare.com>)
Ответы Re: multi-column aggregates
Список pgsql-general
I may not fully understand your situation but

SELECT distinct grouping,
(SELECT integer_column FROM test.test_agg_last WHERE
grouping=t1.grouping ORDER BY cur_date DESC LIMIT 1) AS last_int,
(SELECT integer_column FROM test.test_agg_last WHERE
grouping=t1.grouping ORDER BY cur_date ASC LIMIT 1) AS first_int,
(SELECT integer_column FROM test.test_agg_last WHERE
grouping=t1.grouping ORDER BY cur_date2 DESC LIMIT 1) AS last_int2,
(SELECT integer_column FROM test.test_agg_last WHERE
grouping=t1.grouping ORDER BY cur_date2 ASC LIMIT 1) AS first_int2
FROM test.test_agg_last t1

produced the same result as at least your first example:

1,8,78,78,8
2,32,32,32,32

I think it does what you are trying to do and can be expanded to your
other examples. Maybe not as cool as using composite aggregates, though.

-- BMT

Chris Kratz wrote:

>Thanks Tom,
>
>Well for anyone else who may be interested in doing something similar, here is
>what we did.  It does require typecasting going into the functions, composite
>types and using the dot notation to get the value back out of the composite
>object returned.  But it works.
>
>This is what we wanted...
>
>select last(cur_date, some_column) from some_table....
>
>We got this close...
>
>select (last((cur_date, some_column)::last_int_agg)).value as last_int from...
>
>which I think will be useable for what we need.  If anyone has ideas to
>simplify this, I would appreciate it.  Example and generation script attached
>at end.
>
>I do have to say that the flexibility in postgres for creating our own data
>types and aggregate functions is wonderfull.  Kudos again to everyone who has
>but so much time and energy into postgres.
>---
>
>-Chris
>
>On Thursday 09 March 2006 01:08 pm, Tom Lane wrote:
>
>
>>Chris Kratz <chris.kratz@vistashare.com> writes:
>>
>>
>>>Is there any way in postgres to have an aggregate that uses input from
>>>two columns without using composite types?
>>>
>>>
>>No.
>>
>>            regards, tom lane
>>
>>
>
>
>-------------------------------------------------------------------------------------
>simple example test data::
>-------------------------------------------------------------------------------------
>test=# select id, grouping, cur_date::date, cur_date2::date, integer_column
>from test_agg_last;
> id | grouping |  cur_date  | cur_date2  | integer_column
>----+----------+------------+------------+----------------
>  1 |        1 | 2006-01-05 | 2006-01-03 |              8
>  2 |        1 | 2006-01-01 | 2006-01-05 |             78
>  3 |        2 | 2006-01-03 | 2006-01-01 |             32
>(3 rows)
>
>test=# select
>test-#    grouping,
>test-#    (last((cur_date, integer_column)::last_int_agg)).value as last_int,
>test-#    (first((cur_date, integer_column)::last_int_agg)).value as
>first_int,
>test-#    (last((cur_date2, integer_column)::last_int_agg)).value as
>last_int2,
>test-#    (first((cur_date2, integer_column)::last_int_agg)).value as
>first_int2
>test-# from test_agg_last
>test-# group by grouping
>test-# order by grouping
>test-# ;
> grouping | last_int | first_int | last_int2 | first_int2
>----------+----------+-----------+-----------+------------
>        1 |        8 |        78 |        78 |          8
>        2 |       32 |        32 |        32 |         32
>(2 rows)
>
>-------------------------------------------------------------------------------------
>First and Last aggregates using an arbitrary date column
>-------------------------------------------------------------------------------------
>-- aggregate types
>create type last_int_agg as (cur_date timestamp, value int);
>create type last_txt_agg as (cur_date timestamp, value text);
>create type last_rel_agg as (cur_date timestamp, value double precision);
>create type last_num_agg as (cur_date timestamp, value numeric(12,2));
>create type last_dte_agg as (cur_date timestamp, value date);
>create type last_tme_agg as (cur_date timestamp, value time);
>create type last_bln_agg as (cur_date timestamp, value boolean);
>create type last_ntv_agg as (cur_date timestamp, value interval);
>
>-- generic last accumulator function
>CREATE OR REPLACE function last_accum(anyelement, anyelement) returns
>anyelement
>   AS $$
>   BEGIN
>      IF $1.cur_date IS NULL and $2.cur_date IS NOT NULL
>         THEN RETURN $2;
>      ELSEIF $1.cur_date IS NOT NULL and $2.cur_date IS NULL
>         THEN RETURN $1;
>      ELSEIF $2.cur_date>$1.cur_date
>         THEN RETURN $2;
>      ELSE RETURN $1;
>      END IF;
>   END;
>$$ LANGUAGE plpgsql;
>
>-- generic first accumulator function
>CREATE OR REPLACE function first_accum(anyelement, anyelement) returns
>anyelement
>   AS $$
>   BEGIN
>      IF $1.cur_date IS NULL and $2.cur_date IS NOT NULL
>         THEN RETURN $2;
>      ELSEIF $1.cur_date IS NOT NULL and $2.cur_date IS NULL
>         THEN RETURN $1;
>      ELSEIF $2.cur_date<$1.cur_date
>         THEN RETURN $2;
>      ELSE RETURN $1;
>      END IF;
>   END;
>$$ LANGUAGE plpgsql;
>
>-- last aggregate
>CREATE AGGREGATE last (
>    sfunc = last_accum,
>    basetype = anyelement,
>    stype = anyelement
>);
>
>-- first aggregate
>CREATE AGGREGATE first (
>    sfunc = first_accum,
>    basetype = anyelement,
>    stype = anyelement
>);
>
>-- test data
>
>create table test_agg_last(
>   id serial primary key,
>   grouping integer,
>   cur_date timestamp,
>   cur_date2 timestamp,
>   integer_column integer,
>   real_column double precision,
>   currency_column numeric(12,2),
>   text_column text,
>   date_column date,
>   time_column time without time zone,
>   interval_column interval,
>   boolean_column boolean);
>
>insert into test_agg_last(grouping, cur_date, cur_date2, integer_column,
>real_column, currency_column, text_column, date_column, time_column,
>interval_column, boolean_column)
>values(1, '1/5/06', '1/3/06', 8, 38.7, '12.00', 'Four score', '12/3/78',
>'3:32pm', '1 day', true);
>
>insert into test_agg_last(grouping, cur_date, cur_date2, integer_column,
>real_column, currency_column, text_column, date_column, time_column,
>interval_column, boolean_column)
>values(1, '1/1/06', '1/5/06', 78, 1.998, '35000.00', 'and seven', '6/18/05',
>'12:00am', '4 hours', false);
>
>innsert into test_agg_last(grouping, cur_date, cur_date2, integer_column,
>real_column, currency_column, text_column, date_column, time_column,
>interval_column, boolean_column)
>values(2, '1/3/06', '1/1/06', 32, 0.000001, '100000.00', 'years ago',
>'1/25/2010', '11:37am', '23 minutes', true);
>
>-- test using multiple date columns with first and last
>select
>   grouping,
>   (last((cur_date, integer_column)::last_int_agg)).value as last_int,
>   (first((cur_date, integer_column)::last_int_agg)).value as first_int,
>   (last((cur_date2, integer_column)::last_int_agg)).value as last_int2,
>   (first((cur_date2, integer_column)::last_int_agg)).value as first_int2
>from test_agg_last
>group by grouping
>order by grouping
>;
>
>-- test several different common types
>select
>   grouping,
>   (last((cur_date, integer_column)::last_int_agg)).value as last_int,
>   (first((cur_date, integer_column)::last_int_agg)).value as first_int,
>   (last((cur_date, real_column)::last_rel_agg)).value as last_real,
>   (first((cur_date, real_column)::last_rel_agg)).value as first_real,
>   (last((cur_date, currency_column)::last_num_agg)).value as last_currency,
>   (first((cur_date, currency_column)::last_num_agg)).value as first_currency,
>   (last((cur_date, text_column)::last_txt_agg)).value as last_text,
>   (first((cur_date, text_column)::last_txt_agg)).value as first_text,
>   (last((cur_date, date_column)::last_dte_agg)).value as last_date,
>   (first((cur_date, date_column)::last_dte_agg)).value as first_date,
>   (last((cur_date, time_column)::last_tme_agg)).value as last_time,
>   (first((cur_date, time_column)::last_tme_agg)).value as first_time,
>   (last((cur_date, interval_column)::last_ntv_agg)).value as last_interval,
>   (first((cur_date, interval_column)::last_ntv_agg)).value as first_interval,
>   (last((cur_date, boolean_column)::last_bln_agg)).value as last_boolean,
>   (first((cur_date, boolean_column)::last_bln_agg)).value as first_boolean
>
>from test_agg_last
>group by grouping
>order by grouping
>;
>
>-- cleanup test data
>
>drop table test_agg_last;
>
>---------------------------(end of broadcast)---------------------------
>TIP 5: don't forget to increase your free space map settings
>
>
>


--
Regards,
Berend Tober
Seaworthy Systems, Inc.
860-767-9061


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