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Re: What is faster?
6+ messages / 3 participants
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* What is faster?
@ 2005-06-06 16:25 ON.KG <skyer@on.kg>
  2005-06-06 14:45 ` Re: What is faster? Richard Huxton <dev@archonet.com>
  0 siblings, 1 reply; 6+ messages in thread

From: ON.KG @ 2005-06-06 16:25 UTC (permalink / raw)
  To: pgsql-sql

Hi All!

What is faster - SLECTion data from one large table (200 000 - 300 000
records), or SELECTion from a few small tables (example, 2 tables 150
000 records each)?

Thank You




^ permalink  raw  reply  [nested|flat] 6+ messages in thread

* Re: What is faster?
  2005-06-06 16:25 What is faster? ON.KG <skyer@on.kg>
@ 2005-06-06 14:45 ` Richard Huxton <dev@archonet.com>
  2005-06-06 17:02   ` Re: What is faster? ON.KG <skyer@on.kg>
  0 siblings, 1 reply; 6+ messages in thread

From: Richard Huxton @ 2005-06-06 14:45 UTC (permalink / raw)
  To: ON.KG <skyer@on.kg>; +Cc: pgsql-sql

ON.KG wrote:
> Hi All!
> 
> What is faster - SLECTion data from one large table (200 000 - 300 000
> records), or SELECTion from a few small tables (example, 2 tables 150
> 000 records each)?

It depends. Are you selecting all records? One record? A few records? If 
one or a few, do you have a suitable index on the table(s)? Is the table 
clustered? Expected to be cached in RAM?

Do you have a specific problem, or reason to believe you may encounter one?

-- 
   Richard Huxton
   Archonet Ltd



^ permalink  raw  reply  [nested|flat] 6+ messages in thread

* Re: What is faster?
  2005-06-06 16:25 What is faster? ON.KG <skyer@on.kg>
  2005-06-06 14:45 ` Re: What is faster? Richard Huxton <dev@archonet.com>
@ 2005-06-06 17:02   ` ON.KG <skyer@on.kg>
  2005-06-06 16:09     ` Re: What is faster? Richard Huxton <dev@archonet.com>
  0 siblings, 1 reply; 6+ messages in thread

From: ON.KG @ 2005-06-06 17:02 UTC (permalink / raw)
  To: Richard Huxton <dev@archonet.com>; +Cc: pgsql-sql

Hi All!

>> What is faster - SLECTion data from one large table (200 000 - 300 000
>> records), or SELECTion from a few small tables (example, 2 tables 150
>> 000 records each)?

RH> It depends. Are you selecting all records? One record? A few records? If
RH> one or a few, do you have a suitable index on the table(s)? Is the table
RH> clustered? Expected to be cached in RAM?

RH> Do you have a specific problem, or reason to believe you may encounter one?

It's a real problem

For example i have two large tables
Structure of tables is same - has two fields - id, ip

Now i'm using two selection from each in one transaction
Each of them selects only one record
selection clase like WHERE ip = 'xxx.xxx.xxx.xxx'
so it is searches existance of IP in each table

tables are clustered

about cached in RAM - i'm novice in Postgresql - how does it work?

now i need to make much faster as it is possible
and have an idea just merge two tables in one - will it help me?

Thank You




^ permalink  raw  reply  [nested|flat] 6+ messages in thread

* Re: What is faster?
  2005-06-06 16:25 What is faster? ON.KG <skyer@on.kg>
  2005-06-06 14:45 ` Re: What is faster? Richard Huxton <dev@archonet.com>
  2005-06-06 17:02   ` Re: What is faster? ON.KG <skyer@on.kg>
@ 2005-06-06 16:09     ` Richard Huxton <dev@archonet.com>
  2005-06-07 07:28       ` Re: What is faster? ON.KG <skyer@on.kg>
  0 siblings, 1 reply; 6+ messages in thread

From: Richard Huxton @ 2005-06-06 16:09 UTC (permalink / raw)
  To: ON.KG <skyer@on.kg>; +Cc: pgsql-sql

ON.KG wrote:
> Hi All!
> 
>>>What is faster - SLECTion data from one large table (200 000 - 300 000
>>>records), or SELECTion from a few small tables (example, 2 tables 150
>>>000 records each)?
> 
> RH> It depends. Are you selecting all records? One record? A few records? If
> RH> one or a few, do you have a suitable index on the table(s)? Is the table
> RH> clustered? Expected to be cached in RAM?
> 
> RH> Do you have a specific problem, or reason to believe you may encounter one?
> 
> It's a real problem
> 
> For example i have two large tables
> Structure of tables is same - has two fields - id, ip
> 
> Now i'm using two selection from each in one transaction
> Each of them selects only one record
> selection clase like WHERE ip = 'xxx.xxx.xxx.xxx'
> so it is searches existance of IP in each table
> 
> tables are clustered

OK - so the tables aren't updated frequently, I assume. Do you have an 
index on "ip"?

> about cached in RAM - i'm novice in Postgresql - how does it work?

The operating-system will keep frequently used disk-blocks in memory. 
You don't have to do anything. Have you done any performance tuning in 
your postgresql.conf file? If not, try reading:
   http://www.powerpostgresql.com/PerfList

> now i need to make much faster as it is possible
> and have an idea just merge two tables in one - will it help me?

If they hold the same information, they probably shouldn't have been 
split in the first place.

-- 
   Richard Huxton
   Archonet Ltd



^ permalink  raw  reply  [nested|flat] 6+ messages in thread

* Re: What is faster?
  2005-06-06 16:25 What is faster? ON.KG <skyer@on.kg>
  2005-06-06 14:45 ` Re: What is faster? Richard Huxton <dev@archonet.com>
  2005-06-06 17:02   ` Re: What is faster? ON.KG <skyer@on.kg>
  2005-06-06 16:09     ` Re: What is faster? Richard Huxton <dev@archonet.com>
@ 2005-06-07 07:28       ` ON.KG <skyer@on.kg>
  2005-06-07 06:40         ` Re: What is faster? Achilleus Mantzios <achill@matrix.gatewaynet.com>
  0 siblings, 1 reply; 6+ messages in thread

From: ON.KG @ 2005-06-07 07:28 UTC (permalink / raw)
  To: Richard Huxton <dev@archonet.com>; +Cc: pgsql-sql

RH> ON.KG wrote:
>> Hi All!
>> 
>>>>What is faster - SLECTion data from one large table (200 000 - 300 000
>>>>records), or SELECTion from a few small tables (example, 2 tables 150
>>>>000 records each)?
>> 
>> For example i have two large tables
>> Structure of tables is same - has two fields - id, ip
>> 
>> Now i'm using two selection from each in one transaction
>> Each of them selects only one record
>> selection clase like WHERE ip = 'xxx.xxx.xxx.xxx'
>> so it is searches existance of IP in each table
>> 
>> tables are clustered

RH> OK - so the tables aren't updated frequently, I assume. Do you have an
RH> index on "ip"?

Yes

>> about cached in RAM - i'm novice in Postgresql - how does it work?

RH> The operating-system will keep frequently used disk-blocks in memory.
RH> You don't have to do anything. Have you done any performance tuning in
RH> your postgresql.conf file? If not, try reading:
RH>    http://www.powerpostgresql.com/PerfList

Server Administrator says, he did

>> now i need to make much faster as it is possible
>> and have an idea just merge two tables in one - will it help me?

RH> If they hold the same information, they probably shouldn't have been
RH> split in the first place.

Content of tables is not absolutely same
One has one kind of IPs, second - others

And there's one more addition in question - if I will merge tables,
in new table will be set new additional field - `type` char - to
determine type of IP

Thank You




^ permalink  raw  reply  [nested|flat] 6+ messages in thread

* Re: What is faster?
  2005-06-06 16:25 What is faster? ON.KG <skyer@on.kg>
  2005-06-06 14:45 ` Re: What is faster? Richard Huxton <dev@archonet.com>
  2005-06-06 17:02   ` Re: What is faster? ON.KG <skyer@on.kg>
  2005-06-06 16:09     ` Re: What is faster? Richard Huxton <dev@archonet.com>
  2005-06-07 07:28       ` Re: What is faster? ON.KG <skyer@on.kg>
@ 2005-06-07 06:40         ` Achilleus Mantzios <achill@matrix.gatewaynet.com>
  0 siblings, 0 replies; 6+ messages in thread

From: Achilleus Mantzios @ 2005-06-07 06:40 UTC (permalink / raw)
  To: ON.KG <skyer@on.kg>; +Cc: Richard Huxton <dev@archonet.com>; pgsql-sql

O ON.KG Ýãñáøå óôéò Jun 7, 2005 :

> RH> ON.KG wrote:
> >> Hi All!
> >> 
> >>>>What is faster - SLECTion data from one large table (200 000 - 300 000
> >>>>records), or SELECTion from a few small tables (example, 2 tables 150
> >>>>000 records each)?
> >> 
> >> For example i have two large tables
> >> Structure of tables is same - has two fields - id, ip
> >> 
> >> Now i'm using two selection from each in one transaction
> >> Each of them selects only one record
> >> selection clase like WHERE ip = 'xxx.xxx.xxx.xxx'
> >> so it is searches existance of IP in each table
> >> 
> >> tables are clustered
> 
> RH> OK - so the tables aren't updated frequently, I assume. Do you have an
> RH> index on "ip"?
> 
> Yes
> 
> >> about cached in RAM - i'm novice in Postgresql - how does it work?
> 
> RH> The operating-system will keep frequently used disk-blocks in memory.
> RH> You don't have to do anything. Have you done any performance tuning in
> RH> your postgresql.conf file? If not, try reading:
> RH>    http://www.powerpostgresql.com/PerfList
> 
> Server Administrator says, he did
> 
> >> now i need to make much faster as it is possible
> >> and have an idea just merge two tables in one - will it help me?
> 
> RH> If they hold the same information, they probably shouldn't have been
> RH> split in the first place.
> 
> Content of tables is not absolutely same
> One has one kind of IPs, second - others
> 
> And there's one more addition in question - if I will merge tables,
> in new table will be set new additional field - `type` char - to
> determine type of IP
> 
> Thank You

Just a thought, also you could try if converting your ip from varchar(32)
to int8 (unsigned int4) would make any difference, since
the index on int8 would be more efficient.

> 
> 
> ---------------------------(end of broadcast)---------------------------
> TIP 9: the planner will ignore your desire to choose an index scan if your
>       joining column's datatypes do not match
> 

-- 
-Achilleus




^ permalink  raw  reply  [nested|flat] 6+ messages in thread


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Thread overview: 6+ messages (download: mbox mbox.gz follow: Atom feed)
-- links below jump to the message on this page --
2005-06-06 16:25 What is faster? ON.KG <skyer@on.kg>
2005-06-06 14:45 ` Richard Huxton <dev@archonet.com>
2005-06-06 17:02   ` ON.KG <skyer@on.kg>
2005-06-06 16:09     ` Richard Huxton <dev@archonet.com>
2005-06-07 07:28       ` ON.KG <skyer@on.kg>
2005-06-07 06:40         ` Achilleus Mantzios <achill@matrix.gatewaynet.com>

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