> Also, if there's hot spot is there any way out of it, other than restarting 
> from scratch…
A cluster with a changed partitioner is like a mule with a spinning wheel. No 
one knows how it changed and danged if it knows how to return your data . 
(You cannot change it.)

By uniform I meat evenly distributed across the range of values. That is what 
the RandomPartitioner does by using the MD5 transform (also means we know that 
the tokens have finite range).

Cheers


-----------------
Aaron Morton
Freelance Developer
@aaronmorton
http://www.thelastpickle.com

On 10/02/2012, at 8:31 AM, Tharindu Mathew wrote:

> That sounds like writing a DB... indexing the index row.... :)
> 
> By making the keys uniform.... Do you mean like keep the initial X characters 
> the same or the last Y the same... Could you elaborate, please?
> 
> Also, if there's hot spot is there any way out of it, other than restarting 
> from scratch...
> 
> On Tue, Jan 24, 2012 at 3:50 PM, R. Verlangen <ro...@us2.nl> wrote:
> If you would like to index your rows in an "index-row", you could also choose 
> for indexing the "index-rows". This will scale up for any needs and create a 
> tree structure.
> 
> 
> 2012/1/24 aaron morton <aa...@thelastpickle.com>
> Nothing I can thin of other than making the keys uniform.
> 
> Having a single index row with the RP can be a pain. Is there a way to 
> partition it ?
> 
> Cheers
> 
> 
> -----------------
> Aaron Morton
> Freelance Developer
> @aaronmorton
> http://www.thelastpickle.com
> 
> On 23/01/2012, at 11:42 PM, Tharindu Mathew wrote:
> 
>> Hi,
>> 
>> We use Cassandra in a way we always want to range slice queries. Because, of 
>> the tendency to create hotspots with OrderedPartioner we decided to use 
>> RandomPartitioner. Then we would use, a row as an index row, holding values 
>> of the other row keys of the CF.
>> 
>> I feel this has become a burden and would like to move to an 
>> OrderedPartioner to avoid this work around. The index row workaround which 
>> has become cumbersome when we query the data store.
>> 
>> Is there any tips we can follow to allow for lesser amount of hot spots?
>> 
>> -- 
>> Regards,
>> 
>> Tharindu
>> 
>> blog: http://mackiemathew.com/
>> 
> 
> 
> 
> 
> 
> -- 
> Regards,
> 
> Tharindu
> 
> blog: http://mackiemathew.com/
> 

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