Re: Slow count(*) again... - Mailing list pgsql-performance

From Mladen Gogala
Subject Re: Slow count(*) again...
Date
Msg-id 4CB4542E.5010406@vmsinfo.com
Whole thread Raw
In response to Re: Slow count(*) again...  (david@lang.hm)
Responses Re: Slow count(*) again...
Re: Slow count(*) again...
Re: Slow count(*) again...
List pgsql-performance
david@lang.hm wrote:
> from a PR point of view, speeding up the trivil count(*) case could be
> worth it, just to avoid people complaining about it not being fast.
>
>
Fixing PR stuff is not the approach that I would take. People are
complaining about select count(*) because they're using it in all the
wrong places.  My assessment that there is a problem with sequential
scan was wrong. Now, let's again take Oracle as the measure.
Someone asked me about caching the data.  Here it is:

SQL> connect system/*********
Connected.
SQL> alter system flush buffer_cache;

System altered.

Elapsed: 00:00:12.68
SQL> connect adbase/*********
Connected.
SQL> alter session set db_file_multiblock_read_Count=128;

Session altered.

Elapsed: 00:00:00.41
SQL> select count(*) from ni_occurrence;

  COUNT(*)
----------
 402062638

Elapsed: 00:02:37.77

SQL> select bytes/1048576 MB from user_segments
  2  where segment_name='NI_OCCURRENCE';

        MB
----------
     35329

Elapsed: 00:00:00.20
SQL>


So, the results weren't cached the first time around. The explanation is
the fact that Oracle, as of the version 10.2.0, reads the table in the
private process memory, not in the shared buffers.  This table alone is
35GB in size,  Oracle took 2 minutes 47 seconds to read it using the
full table scan. If I do the same thing with PostgreSQL and a comparable
table, Postgres is, in fact, faster:

psql (9.0.1)
Type "help" for help.

news=> \timing
Timing is on.
news=> select count(*) from moreover_documents_y2010m09;
  count
----------
 17242655
(1 row)

Time: 113135.114 ms
news=> select pg_size_pretty(pg_table_size('moreover_documents_y2010m09'));
 pg_size_pretty
----------------
 27 GB
(1 row)

Time: 100.849 ms
news=>

The number of rows is significantly smaller, but the table contains
rather significant "text" field which consumes quite a bit of TOAST
storage and the sizes are comparable. Postgres read through 27GB in 113
seconds, less than 2 minutes and oracle took 2 minutes 37 seconds to
read through 35GB.  I stand corrected: there is nothing wrong with the
speed of the Postgres sequential scan.


--
Mladen Gogala
Sr. Oracle DBA
1500 Broadway
New York, NY 10036
(212) 329-5251
www.vmsinfo.com


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