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From: Jignesh K. Shah <J.K.Shah@Sun.COM>
To: Kevin Grittner <Kevin.Grittner@wicourts.gov>
Cc: pgsql-performance@postgresql.org <pgsql-performance@postgresql.org>
Cc: Scott Carey <scott@richrelevance.com>
Subject: Re: Proposal of tunable fix for scalability of 8.4
Date: Thu, 12 Mar 2009 13:49:37 -0400
Message-ID: <49B94B31.2010201@sun.com> (raw)
In-Reply-To: <49B8E044.EE98.0025.0@wicourts.gov>
References: <49B7F470.EE98.0025.0@wicourts.gov>
	<C5DDBB25.3333%scott@richrelevance.com>
	<49B8E044.EE98.0025.0@wicourts.gov>



On 03/12/09 11:13, Kevin Grittner wrote:
>>>> Scott Carey <scott@richrelevance.com> wrote: 
>>>>         
>> "Kevin Grittner" <Kevin.Grittner@wicourts.gov> wrote:
>>
>>     
>>> I'm a lot more interested in what's happening between 60 and 180
>>> than over 1000, personally.  If there was a RAID involved, I'd put
>>> it down to better use of the numerous spindles, but when it's all
>>> in RAM it makes no sense.
>>>       
>> If there is enough lock contention and a common lock case is a short
>> lived shared lock, it makes perfect sense sense.  Fewer readers are
>> blocked waiting on writers at any given time.  Readers can 'cut' in
>> line ahead of writers within a certain scope (only up to the number
>> waiting at the time a shared lock is at the head of the queue). 
>> Essentially this clumps up shared and exclusive locks into larger
>> streaks, and allows for higher shared lock throughput.
>>     
>  
> You misunderstood me.  I wasn't addressing the affects of his change,
> but rather the fact that his test shows a linear improvement in TPS up
> to 1000 connections for a 64 thread machine which is dealing entirely
> with RAM -- no disk access.  Where's the bottleneck that allows this
> to happen?  Without understanding that, his results are meaningless.
>  
> -Kevin
>
>   

Every user has a think time (200ms) to wait before doing the next 
transaction which results in idle time and theoretically allows other 
users to run in between ..

-Jignesh

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