query planning and partitioned tables - Mailing list pgsql-admin

From Colton Smith
Subject query planning and partitioned tables
Date
Msg-id 4385E663.6000305@skio.peachnet.edu
Whole thread Raw
Responses Re: query planning and partitioned tables
List pgsql-admin
Hi:

  I have a 440 million row table that I'm attempting to partition.  The
table is named 'pressure' and holds pressure data from an undersea
sensor measuring wave height.
The sensor reports every half second.

  The partitions are named 'p0', 'p1' ... 'pN' and are divvied according
to measurement date.

  See the following:

                                            Table "public.pressure"
      Column      |            Type
|                           Modifiers
------------------+-----------------------------+---------------------------------------------------------------
 pressure_id      | integer                     | not null default
nextval(('pressure_id_seq'::text)::regclass)
 row_entry_date   | timestamp with time zone    |
 sensor_id        | integer                     | not null
 measurement_date | timestamp without time zone |
 pressure         | double precision            |
Indexes:
    "pressure_pkey" PRIMARY KEY, btree (pressure_id)
    "pressure_measurement_date_index" btree (measurement_date)
Foreign-key constraints:
    "sensor_id_exists" FOREIGN KEY (sensor_id) REFERENCES
sensor(sensor_id) ON DELETE RESTRICT
Tablespace: "diskvol2"

                                               Table "public.p0"
      Column      |            Type
|                           Modifiers
------------------+-----------------------------+---------------------------------------------------------------
 pressure_id      | integer                     | not null default
nextval(('pressure_id_seq'::text)::regclass)
 row_entry_date   | timestamp with time zone    |
 sensor_id        | integer                     | not null
 measurement_date | timestamp without time zone |
 pressure         | double precision            |
Indexes:
    "p0_pressure_id_index" UNIQUE, btree (pressure_id), tablespace
"diskvol2"
    "p0_measurement_date_index" btree (measurement_date), tablespace
"diskvol2"
Check constraints:
    "p0_measurement_date_check" CHECK (measurement_date >= '1999-08-02
00:00:00'::timestamp without time zone AND measurement_date <
'2000-01-06 00:00:00'::timestamp without time zone)
Foreign-key constraints:
    "sensor_id_exists" FOREIGN KEY (sensor_id) REFERENCES
sensor(sensor_id) ON DELETE RESTRICT
Inherits: pressure
Tablespace: "diskvol2"



My question involves how the database performs the following queries:

explain select max(measurement_date) from pressure;
                                    QUERY
PLAN
-----------------------------------------------------------------------------------
 Aggregate  (cost=480311.50..480311.51 rows=1 width=8)
   ->  Append  (cost=0.00..425345.20 rows=21986520 width=8)
         ->  Seq Scan on pressure  (cost=0.00..22.30 rows=1230 width=8)
         ->  Seq Scan on p0 pressure  (cost=0.00..425322.90
rows=21985290 width=8)
(4 rows)

explain select max(measurement_date) from p0;
                                                      QUERY
PLAN
-----------------------------------------------------------------------------------------------------------------------
 Result  (cost=0.02..0.03 rows=1 width=0)
   InitPlan
     ->  Limit  (cost=0.00..0.02 rows=1 width=8)
           ->  Index Scan Backward using p0_measurement_date_index on
p0  (cost=0.00..531221.19 rows=21985290 width=8)
                 Filter: (measurement_date IS NOT NULL)
(5 rows)

The optimizer doesn't do as well with the former as the latter.  Is that
the expected behavior or have I screwed things up?

Also, consider the following:

explain select * from pressure where measurement_date < '2000-01-01';
                                                  QUERY
PLAN
--------------------------------------------------------------------------------------------------------------
 Result  (cost=0.00..480293.25 rows=21092480 width=32)
   ->  Append  (cost=0.00..480293.25 rows=21092480 width=32)
         ->  Index Scan using pressure_measurement_date_index on
pressure  (cost=0.00..7.13 rows=69 width=32)
               Index Cond: (measurement_date < '2000-01-01
00:00:00'::timestamp without time zone)
         ->  Seq Scan on p0 pressure  (cost=0.00..480286.12
rows=21092411 width=32)
               Filter: (measurement_date < '2000-01-01
00:00:00'::timestamp without time zone)
(6 rows)

explain select * from p0 where measurement_date < '2000-01-01';
                                    QUERY
PLAN
-----------------------------------------------------------------------------------
 Seq Scan on p0  (cost=0.00..480286.12 rows=21092411 width=32)
   Filter: (measurement_date < '2000-01-01 00:00:00'::timestamp without
time zone)
(2 rows)

The query planner seems to be ignoring p0's index on measurement_date.

Contrast that to the plan made for a similar query made on a different
table (unpartitioned) in the same database:

explain select * from wind where measurement_date < '2000-01-01';
                                           QUERY
PLAN
------------------------------------------------------------------------------------------------
 Bitmap Heap Scan on wind  (cost=474.17..28855.07 rows=75192 width=116)
   Recheck Cond: (measurement_date < '2000-01-01 00:00:00'::timestamp
without time zone)
   ->  Bitmap Index Scan on wind_measurement_date_index
(cost=0.00..474.17 rows=75192 width=0)
         Index Cond: (measurement_date < '2000-01-01
00:00:00'::timestamp without time zone)
(4 rows)

Now, that looks like a nice plan (I guess).

My question: Are my partitions  constructed in such a way that prevents
the planner from picking better plans? Or is that
the way things stand right now?

As always, thanks for your help.











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