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Fabrice

It'd be better to not pull Qserv into any Data Challenges yet.

Is there an issue with using the merge engine? If we use
partitioner to just break data into separate tables, we can
do that easily without partitioner, and if we start using the
advanced features like overlap, it will quickly get out of hand.

Can Osman send more specific information what is not working?
As I said earlier, I have not heard about any issues since I
exchanged emails with him on Dec 11 (which I just forwarded
to you).

Jacek



On 01/13/2014 09:53 AM, Fabrice Jammes wrote:
> Hello,
>
> Osman Aidel, a CC-IN2P3 expert in databases administration, try
> currently to load in MySQL the 3TB dataset produced during last data
> challenge.
> Osman and Dominique Boutigny succeeded in loading the whole dataset in
> MySQL, but some post-processing steps of this dataset (like removal of
> duplicates) take a infinite time.
>
> Please remark that these issues are good news for Qserv as it validates
> its distributed data model ;-).
>
> Christian Arnault, french manager for LSST computing, thinks that some
> of the tools developed by Qserv team could help Osman, and CC-IN2P3.
> Indeed, the partitioning algorithm developed by Serge could be used to
> partition the DC dataset in a collection of chunks.
> Osman could then load a part of contiguous chunks of this collection
> into a single-node MySQL server.
>
> Do you think this proposal could be attainable soon ? Indeed, French
> physicists are interested in studying a representative sample of the DC
> dataset and this solution would help them a lot.
>
> Thanks,
>
> Fabrice
>

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