corresponding primary key for max(column)? - Mailing list pgsql-sql

From Jason Pyeron
Subject corresponding primary key for max(column)?
Date
Msg-id Pine.LNX.4.44.0212231858020.21628-100000@ns.pyerotechnics.com
Whole thread Raw
List pgsql-sql
is there a better way?

for reasons not defined by me, i cannot constrain the data in the 
locations table with unique(ref,ts)

that said Microsoft mappoint craps out if there are duplicate values in 
the ref column.

so i need to create a view which returns locations.* for the row which 
contains the max(ts) group by ref.

-jason pyeron

assetdb=# \d locations                                   Table "locations"Column |           Type           |
          Modifiers
 
--------+--------------------------+------------------------------------------------------id     | integer
   | not null default nextval('"locations_id_seq"'::text)ref    | integer                  | not nullts     | timestamp
withtime zone |lat    | numeric(12,10)           | not nulllon    | numeric(13,10)           | not nulldisp   |
charactervarying(63)    |
 
Primary key: locations_pkey

assetdb=# select * from locations ;id | ref |              ts               |      lat      |      lon       |
      disp
 
----+-----+-------------------------------+---------------+----------------+-------------------------------------- 1 |
1 | 2002-12-22 05:47:26.863774-05 | 39.3373066667 | -76.6245916667 | 0.00MPH 038.6 degrees 2 |   1 | 2002-12-22
05:52:57.211416-05| 39.3373066667 | -76.6245916667 | 0.00MPH 038.6 degrees 3 |   1 | 2002-12-22 05:54:18.125055-05 |
39.3373066667| -76.6245916667 | 0.00MPH 038.6 degrees 4 |   2 | 2002-12-22 06:04:48.348906-05 | 40.3373066667 |
-76.2459166670| 0.00MPH 038.6 degrees 5 |   2 | 2002-12-22 06:04:48.348906-05 | 99.9999999999 | -99.9999999999 | Foo
DataPoint 0.00MPH 038.6 degrees 6 |   1 | 2001-01-01 00:00:00-05        | 38.0000000000 | -76.9000000000 | dfdsfsd
 
(6 rows)

assetdb=# SELECT
assetdb-#  l0.id, l0.ref, l0.ts, l0.lat, l0.lon, l0.disp
assetdb-#
assetdb-# FROM
assetdb-#  locations l0
assetdb-#
assetdb-# WHERE
assetdb-#  l0.id =
assetdb-#  ANY (
assetdb(#   SELECT
assetdb(#    min(l1.id) AS max
assetdb(#
assetdb(#   FROM
assetdb(#    (
assetdb(#     SELECT
assetdb(#      l2.id, l2.ref, l2.ts, l2.lat, l2.lon, l2.disp
assetdb(#
assetdb(#     FROM
assetdb(#      locations l2
assetdb(#
assetdb(#     WHERE
assetdb(#      l2.ts =
assetdb(#      (
assetdb(#       SELECT
assetdb(#        max(l3.ts) AS max
assetdb(#       FROM
assetdb(#        locations l3
assetdb(#       WHERE
assetdb(#        l3.ref = l2.ref
assetdb(#      )
assetdb(#    ) as l1
assetdb(#
assetdb(#   GROUP BY
assetdb(#    l1.ref
assetdb(#  )
assetdb-# ;id | ref |              ts               |      lat      |      lon       |         disp
----+-----+-------------------------------+---------------+----------------+----------------------- 3 |   1 |
2002-12-2205:54:18.125055-05 | 39.3373066667 | -76.6245916667 | 0.00MPH 038.6 degrees 4 |   2 | 2002-12-22
06:04:48.348906-05| 40.3373066667 | -76.2459166670 | 0.00MPH 038.6 degrees
 
(2 rows)

Seq Scan on locations l0  (cost=0.00..22535105.55 rows=500 width=98) SubPlan   ->  Materialize
(cost=22535.08..22535.08rows=1 width=8)         ->  Aggregate  (cost=22535.06..22535.08 rows=1 width=8)
-> Group  (cost=22535.06..22535.07 rows=5 width=8)                     ->  Sort  (cost=22535.06..22535.06 rows=5
width=8)                          ->  Seq Scan on locations l2  (cost=0.00..22535.00 rows=5 width=8)
            SubPlan                                   ->  Aggregate  (cost=22.51..22.51 rows=1 width=8)
                       ->  Seq Scan on locations l3  (cost=0.00..22.50 rows=5 width=8)
 





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