> I did try to upgrade to 1.2 but it did not work out. Maybe to many versions 
> in between.
Newer versions should be able to read older file formats. What was the error?

> Why would later formats make this easier you think?
it will be easier to write against the current code base and you find it easier 
to get help. 

Cheers


-----------------
Aaron Morton
Freelance Cassandra Consultant
New Zealand

@aaronmorton
http://www.thelastpickle.com

On 16/04/2013, at 5:37 AM, Jasper K. <jasper.knu...@incentro.com> wrote:

> Hi Aaron,
> 
> I did try to upgrade to 1.2 but it did not work out. Maybe to many versions 
> in between.
> 
> Why would later formats make this easier you think?
> 
> Jasper
> 
> 
> 
> 2013/4/14 aaron morton <aa...@thelastpickle.com>
>> The SSTable files are in the -f- format from 0.8.10.
> 
> If you can upgrade to the latest version it will make things easier. 
> Start a node and use nodetool upgradesstables. 
> 
> The org.apache.cassandra.tools.SSTableExport class provides a blue print for 
> reading rows from disk.
> 
> hope that helps. 
> 
> -----------------
> Aaron Morton
> Freelance Cassandra Consultant
> New Zealand
> 
> @aaronmorton
> http://www.thelastpickle.com
> 
> On 13/04/2013, at 7:58 PM, Jasper K. <jasper.knu...@incentro.com> wrote:
> 
>> Hi,
>> 
>> Does anyone have any experience with running a MapReduce directly against a 
>> CF's SSTable files?
>> 
>> I have a use case where this seems to be an option. I want to export all 
>> data from a CF to a flat file format for statistical analysis.
>> 
>> Some factors that make it (more) doable in my case:
>> -The Cassandra instance is not 'on-line' (no writes- no reads)
>> -The .db files were exported from another instance. I got them all in one 
>> place now
>> 
>> The SSTable files are in the -f- format from 0.8.10.
>> 
>> Looking at this : http://wiki.apache.org/cassandra/ArchitectureSSTable it 
>> should be possible to write a Hadoop RecordReader for Cassandra rowkeys.
>> 
>> But maybe I am not fully aware of what I am up to.
>> 
>> -- 
>> 
>> Jasper 
> 
> 
> 
> 
> -- 
> 

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