Re: what is more important (RAM vs Cores)

2012-10-12 Thread wang liang
Hi, Hagos,

I think it depends on your business case. Big RAM reduce latency and
improve responsibility, High number of cores increase concurrency of your
app. thanks.

On Fri, Oct 12, 2012 at 4:23 PM, Hagos, A.S. a.s.ha...@tue.nl wrote:

 Hi All,
 For of my projects I want to buy a machine to host Casssandra database.
 The options I am offered are machines with 16GB RAM with Quad-Core
 processor and 6GB RAM with Hexa-Core processor.
 Which one do you recommend, big RAM or  high number of cores?

 greetings
 Ambes




-- 
Best wishes,
Helping others is to help myself.


Re: what is more important (RAM vs Cores)

2012-10-12 Thread Romain HARDOUIN
Hi,

Sure it depends... but IMHO 6 GB is suboptimal for big data because it 
means 1,5 GB or  2 GB for Cassandra.
Maybe you could elaborate your use case. You really want a one node 
cluster ?

cheers,
Romain

wang liang wla...@gmail.com a écrit sur 12/10/2012 10:36:15 :

 Hi, Hagos,
 
 I think it depends on your business case. Big RAM reduce latency and
 improve responsibility, High number of cores increase concurrency of
 your app. thanks.

 On Fri, Oct 12, 2012 at 4:23 PM, Hagos, A.S. a.s.ha...@tue.nl wrote:
 Hi All,
 For of my projects I want to buy a machine to host Casssandra database.
 The options I am offered are machines with 16GB RAM with Quad-Core 
 processor and 6GB RAM with Hexa-Core processor.
 Which one do you recommend, big RAM or  high number of cores?
 
 greetings
 Ambes
 

 
 -- 
 Best wishes,
 Helping others is to help myself.

RE: what is more important (RAM vs Cores)

2012-10-12 Thread Hagos, A.S.
Hi there,
My application is uses Cassandra to store abstracted sensor data from a sensor 
network in large building (up to 3000 sensors).
For now I am starting one node in one floor of the building, for the future it 
will definitely be a cluster. Some of the sensors have up 16HZ sampling rate.

And now I want to make a decision if I have to focus on big RAM or large number 
of cores.
greetings 
Ambes

From: Romain HARDOUIN [romain.hardo...@urssaf.fr]
Sent: Friday, October 12, 2012 10:57 AM
To: user@cassandra.apache.org
Subject: Re: what is more important (RAM vs Cores)

Hi,

Sure it depends... but IMHO 6 GB is suboptimal for big data because it means 
1,5 GB or  2 GB for Cassandra.
Maybe you could elaborate your use case. You really want a one node cluster ?

cheers,
Romain

wang liang wla...@gmail.com a écrit sur 12/10/2012 10:36:15 :

 Hi, Hagos,

 I think it depends on your business case. Big RAM reduce latency and
 improve responsibility, High number of cores increase concurrency of
 your app. thanks.

 On Fri, Oct 12, 2012 at 4:23 PM, Hagos, A.S. a.s.ha...@tue.nl wrote:
 Hi All,
 For of my projects I want to buy a machine to host Casssandra database.
 The options I am offered are machines with 16GB RAM with Quad-Core
 processor and 6GB RAM with Hexa-Core processor.
 Which one do you recommend, big RAM or  high number of cores?

 greetings
 Ambes



 --
 Best wishes,
 Helping others is to help myself.


RE: what is more important (RAM vs Cores)

2012-10-12 Thread Viktor Jevdokimov
IMO, in most cases you'll be limited by the RAM first.
Take into account size of sstables, you will need to keep bloom filters and 
indexes in RAM and if it will not fit, 4 cores, or 24 cores doesn't matter, 
except you're on SSD.

You need to design first, stress test second, conclude last.


Best regards / Pagarbiai

Viktor Jevdokimov
Senior Developer

Email: viktor.jevdoki...@adform.com
Phone: +370 5 212 3063
Fax: +370 5 261 0453

J. Jasinskio 16C,
LT-01112 Vilnius,
Lithuania



Disclaimer: The information contained in this message and attachments is 
intended solely for the attention and use of the named addressee and may be 
confidential. If you are not the intended recipient, you are reminded that the 
information remains the property of the sender. You must not use, disclose, 
distribute, copy, print or rely on this e-mail. If you have received this 
message in error, please contact the sender immediately and irrevocably delete 
this message and any copies. -Original Message-
 From: Hagos, A.S. [mailto:a.s.ha...@tue.nl]
 Sent: Friday, October 12, 2012 12:17
 To: user@cassandra.apache.org
 Subject: RE: what is more important (RAM vs Cores)

 Hi there,
 My application is uses Cassandra to store abstracted sensor data from a
 sensor network in large building (up to 3000 sensors).
 For now I am starting one node in one floor of the building, for the future it
 will definitely be a cluster. Some of the sensors have up 16HZ sampling rate.

 And now I want to make a decision if I have to focus on big RAM or large
 number of cores.
 greetings
 Ambes
 
 From: Romain HARDOUIN [romain.hardo...@urssaf.fr]
 Sent: Friday, October 12, 2012 10:57 AM
 To: user@cassandra.apache.org
 Subject: Re: what is more important (RAM vs Cores)

 Hi,

 Sure it depends... but IMHO 6 GB is suboptimal for big data because it means
 1,5 GB or  2 GB for Cassandra.
 Maybe you could elaborate your use case. You really want a one node cluster
 ?

 cheers,
 Romain

 wang liang wla...@gmail.com a écrit sur 12/10/2012 10:36:15 :

  Hi, Hagos,
 
  I think it depends on your business case. Big RAM reduce latency and
  improve responsibility, High number of cores increase concurrency of
  your app. thanks.

  On Fri, Oct 12, 2012 at 4:23 PM, Hagos, A.S. a.s.ha...@tue.nl wrote:
  Hi All,
  For of my projects I want to buy a machine to host Casssandra database.
  The options I am offered are machines with 16GB RAM with Quad-Core
  processor and 6GB RAM with Hexa-Core processor.
  Which one do you recommend, big RAM or  high number of cores?
 
  greetings
  Ambes
 

 
  --
  Best wishes,
  Helping others is to help myself.



RE: what is more important (RAM vs Cores)

2012-10-12 Thread Tim Wintle
On Fri, 2012-10-12 at 10:20 +, Viktor Jevdokimov wrote:
 IMO, in most cases you'll be limited by the RAM first.

+1 - I've seen our 8-core boxes limited by RAM and inter-rack
networking, but not by CPU (yet).

Tim



RE: what is more important (RAM vs Cores)

2012-10-12 Thread Romain HARDOUIN
Also, take into account i/o since they are often a limiting factor.