You're right Vegard! Thanks

2013/1/22 Vegard Berget <p...@fantasista.no>

> Hi,
>
> No, the keys are hashed to be distributed, at least if you use
> RandomPartitioner.
> From http://www.datastax.com/docs/1.0/cluster_architecture/partitioning:
> "To distribute the data evenly across the number of nodes, a hashing
> algorithm creates an MD5 hash value of the row key"
>
> .vegard,
>
>
>
>
>
> ----- Original Message -----
> From:
> user@cassandra.apache.org
>
> To:
> <user@cassandra.apache.org>
> Cc:
>
> Sent:
> Tue, 22 Jan 2013 09:40:19 -0200
>
> Subject:
> Re: How to store large columns?
>
>
> But, this keys have the same prefix. So, they will be distributed on the
> same node. Right?
>
> 2013/1/21 Jason Brown <jasbr...@netflix.com>
>
>>  The reason for multiple keys (and, by extension, multiple columns) is
>> to better distribute the write/read load across the cluster as keys will
>> (hopefully) be distributed on different nodes. This helps to avoid hot
>> spots.
>>
>> Hope this helps,
>>
>> -Jason Brown
>> Netflix
>> ------------------------------
>> *From:* Sávio Teles [savio.te...@lupa.inf.ufg.br<savio.te...@lupa.inf.ufgbr>
>> ]
>> *Sent:* Monday, January 21, 2013 9:51 AM
>> *To:* user@cassandra.apache.org
>>
>> *Subject:* Re: How to store large columns?
>>
>>  Astyanax split large objects into multiple keys. Is it a good idea? It
>> is better to split into multiple columns?
>>
>> Thanks
>>
>> 2013/1/21 Sávio Teles <savio.te...@lupa.inf.ufg.br>
>>
>>>
>>> Thanks Keith Wright.
>>>
>>>
>>> 2013/1/21 Keith Wright <kwri...@nanigans.com>
>>>
>>>>  This may be helpful:
>>>> https://github.com/Netflix/astyanax/wiki/Chunked-Object-Store
>>>>
>>>>  From: Vegard Berget <p...@fantasista.no>
>>>> Reply-To: "user@cassandra.apache.org" <user@cassandra.apache.org>,
>>>> Vegard Berget <p...@fantasista.no>
>>>> Date: Monday, January 21, 2013 8:35 AM
>>>> To: "user@cassandra.apache.org" <user@cassandra.apache.org>
>>>> Subject: Re: How to store large columns?
>>>>
>>>>
>>>>
>>>> Hi,
>>>>
>>>> You could split it into multiple columns on the client side:
>>>> RowKeyData: Part1: [1mb], Part2: [1mb], Part3: [1mb]...PartN[1mb]
>>>>
>>>> Now you can use multiple get() in parallell to get the files back and
>>>> then join them back to one file.
>>>>
>>>> I _think_ maybe the new CQL3-protocol does not have the same
>>>> limitation, but I have never tried large columns there, so someone with
>>>> more experience than me will have to confirm this.
>>>>
>>>> .vegard,
>>>>
>>>>
>>>> ----- Original Message -----
>>>> From:
>>>> user@cassandra.apache.org
>>>>
>>>> To:
>>>> <user@cassandra.apache.org>
>>>> Cc:
>>>>
>>>> Sent:
>>>> Mon, 21 Jan 2013 11:16:40 -0200
>>>> Subject:
>>>> How to store large columns?
>>>>
>>>>
>>>> We wish to store a column in a row with size larger 
>>>> thanthrift_framed_transport_size_in_mb
>>>> . But, Thrift has a maximum frame size configured by
>>>> thrift_framed_transport_size_in_mb in cassandra.yaml.
>>>> so, How to store columns with size larger than
>>>> thrift_framed_transport_size_in_mb? Increasing this value does not
>>>> solve the problem, since we have columns with varying sizes.
>>>>
>>>> --
>>>> Atenciosamente,
>>>> Sávio S. Teles de Oliveira
>>>> voice: +55 62 9136 6996
>>>> http://br.linkedin.com/in/savioteles
>>>> Mestrando em Ciências da Computação - UFG
>>>> Arquiteto de Software
>>>>  Laboratory for Ubiquitous and Pervasive Applications (LUPA) - UFG
>>>>
>>>>
>>>
>>>
>>> --
>>> Atenciosamente,
>>> Sávio S. Teles de Oliveira
>>> voice: +55 62 9136 6996
>>> http://br.linkedin.com/in/savioteles
>>> Mestrando em Ciências da Computação - UFG
>>> Arquiteto de Software
>>>  Laboratory for Ubiquitous and Pervasive Applications (LUPA) - UFG
>>>
>>
>>
>>
>> --
>> Atenciosamente,
>> Sávio S. Teles de Oliveira
>> voice: +55 62 9136 6996
>> http://br.linkedin.com/in/savioteles
>> Mestrando em Ciências da Computação - UFG
>> Arquiteto de Software
>>  Laboratory for Ubiquitous and Pervasive Applications (LUPA) - UFG
>>
>
>
>
> --
> Atenciosamente,
> Sávio S. Teles de Oliveira
> voice: +55 62 9136 6996
> http://br.linkedin.com/in/savioteles
> Mestrando em Ciências da Computação - UFG
> Arquiteto de Software
> Laboratory for Ubiquitous and Pervasive Applications (LUPA) - UFG
>
>


-- 
Atenciosamente,
Sávio S. Teles de Oliveira
voice: +55 62 9136 6996
http://br.linkedin.com/in/savioteles
Mestrando em Ciências da Computação - UFG
Arquiteto de Software
Laboratory for Ubiquitous and Pervasive Applications (LUPA) - UFG

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