On Tue, Apr 26, 2011 at 7:30 AM, Robert Haas wrote:
> On Apr 14, 2011, at 2:49 AM, Claudio Freire wrote:
>> This particular factor is not about an abstract and opaque "Workload"
>> the server can't know about. It's about cache hit rate, and the server
>> can indeed measure that.
>
> The server ca
On Mon, Apr 25, 2011 at 10:04 PM, Rob Wultsch wrote:
> Tip from someone that manages thousands of MySQL servers: Use InnoDB
> when using MySQL.
Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses my
knowledge of MySQL, but if InnoDB has such amazing benefits as being
crash safe, an
J Sisson wrote:
> Rob Wultsch wrote:
>> Tip from someone that manages thousands of MySQL servers: Use
>> InnoDB when using MySQL.
>
> Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses
> my knowledge of MySQL, but if InnoDB has such amazing benefits as
> being crash safe, and eve
On Tue, Apr 26, 2011 at 8:13 AM, J Sisson wrote:
> On Mon, Apr 25, 2011 at 10:04 PM, Rob Wultsch wrote:
>> Tip from someone that manages thousands of MySQL servers: Use InnoDB
>> when using MySQL.
>
> Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses my
> knowledge of MySQL, but
I'm running pgsql on an m1.large EC2 instance with 7.5gb available memory.
The free command shows 7gb of free+cached. My understand from the docs is that
I should dedicate 1.75gb to shared_buffers (25%) and set effective_cache_size
to 7gb.
Is this correct? I'm running 64-bit Ubuntu 10.10, e.g
Folks,
I'm trying to optimize the following query that performs KL Divergence [1]. As
you can see the distance function operates on vectors of 150 floats.
The query takes 12 minutes to run on an idle (apart from pgsql) EC2 m1 large
instance with 2 million documents in the docs table. The CPU i
Original message
>Date: Tue, 26 Apr 2011 09:13:17 -0500
>From: pgsql-performance-ow...@postgresql.org (on behalf of J Sisson
>)
>Subject: Re: [PERFORM] Time to put theory to the test?
>To: Rob Wultsch
>Cc: "pgsql-performance@postgresql.org"
>
>On Mon, Apr 25, 2011 at 10:04 PM, Rob
J Sisson writes:
> Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses my
> knowledge of MySQL, but if InnoDB has such amazing benefits as being
> crash safe, and even speed increases in some instances, why isn't
> InnoDB default?
It *is* default in the most recent versions (5.5 an
On Tue, Apr 26, 2011 at 17:51, Tom Lane wrote:
> J Sisson writes:
>> Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses my
>> knowledge of MySQL, but if InnoDB has such amazing benefits as being
>> crash safe, and even speed increases in some instances, why isn't
>> InnoDB default
On Tue, Apr 26, 2011 at 09:58:49AM -0500, Kevin Grittner wrote:
> J Sisson wrote:
> > Rob Wultsch wrote:
> >> Tip from someone that manages thousands of MySQL servers: Use
> >> InnoDB when using MySQL.
> >
> > Granted, my knowledge of PostgreSQL (and even MSSQL) far surpasses
> > my knowledge of
J,
> Long story short, every single PostgreSQL machine survived the failure
> with *zero* data corruption. I had a few issues with SQL Server
> machines, and virtually every MySQL machine has required data cleanup
> and table scans and tweaks to get it back to "production" status.
Can I quote yo
Dne 26.4.2011 07:35, Robert Haas napsal(a):
> On Apr 13, 2011, at 6:19 PM, Tomas Vondra wrote:
>> Yes, I've had some lectures on non-linear programming so I'm aware that
>> this won't work if the cost function has multiple extremes (walleys /
>> hills etc.) but I somehow suppose that's not the cas
Hi,
I am using PostgreSQL 9.0. There is a salutations table with 44 rows,
and a contacts table with more than a million rows. The contacts table
has a nullable (only 0.002% null) salutation_id column, referencing
salutations.id.
With this query:
SELECT
salutations.id,
salutations.name,
Sok Ann Yap wrote:
> So, index scan wins by a very small margin over sequential scan
> after the tuning. I am a bit puzzled because index scan is more
> than 3000 times faster in this case, but the estimated costs are
> about the same. Did I do something wrong?
Tuning is generally needed to ge
On Tue, Apr 26, 2011 at 4:37 PM, Kevin Grittner
wrote:
> Sok Ann Yap wrote:
>
>> So, index scan wins by a very small margin over sequential scan
>> after the tuning. I am a bit puzzled because index scan is more
>> than 3000 times faster in this case, but the estimated costs are
>> about the same
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