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Message-ID: <560027A7.4040002@oracle.com>
Date:	Mon, 21 Sep 2015 08:52:07 -0700
From:	santosh shilimkar <santosh.shilimkar@...cle.com>
To:	David Laight <David.Laight@...LAB.COM>,
	"netdev@...r.kernel.org" <netdev@...r.kernel.org>
Cc:	"linux-kernel@...r.kernel.org" <linux-kernel@...r.kernel.org>,
	"davem@...emloft.net" <davem@...emloft.net>,
	"ssantosh@...nel.org" <ssantosh@...nel.org>
Subject: Re: [PATCH 05/15] RDS: increase size of hash-table to 8K

On 9/21/2015 1:31 AM, David Laight wrote:
> From: Santosh Shilimkar
>> Sent: 20 September 2015 00:05
>> Even with per bucket locking scheme, in a massive parallel
>> system with active rds sockets which could be in excess of multiple
>> of 10K, rds_bin_lookup() workload is significant because of smaller
>> hashtable size.
>>
>> With some tests, it was found that we get modest but still nice
>> reduction in rds_bind_lookup with bigger bucket.
>>
>> 	Hashtable	Baseline(1k)	Delta
>> 	2048:		8.28%     	-2.45%
>> 	4096:		8.28%		-4.60%
>> 	8192:		8.28%		-6.46%
>> 	16384:		8.28%		-6.75%
>>
>> Based on the data, we set 8K as the bind hash-table size.
>
> Can't you use of on the dynamically sizing hash tables?
> 8k hash table entries is OTT for a lot of systems.
>
Do you know an example in Linux kernel uses that ? What I
certainly don't want is over-head of re-sizing whenever
that happens in running systems running multiple databases.

Memory is certainly not an issue on the systems where RDS
has been deployed. I certainly don't want to over-use the
memory but in the system where RDS being used and also
amount of connection it needs to handle, it needs
bigger bucket.

Regards,
Santosh
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