oops sorry, seem auto-correction of my email client created some typo for me : 
here's the corrections,

On 8 Aug, 2013, at 2:33 AM, Xianli Xu <xiaolou.c...@gmail.com> wrote:

> Hi all, 
> I'm developing data processing service and evaluating if Pytable. Since hdf5 
> supports hierarchical data like a tree of folder, can I use such a tree-like 
> structure as a K-V store like possibly store million of tables or arrays 
> under one group and randomly access any one of them in O(1) time? e.g. 
> root/
>       user_log/
>               uid1-> table / array, (of tens of thousand rows / elements, 
> ETL'ed user log info in int format)
>               uid2-> table / array,
>               uid3-> table / array,
>               uid4-> table / array,
>               uid5-> table / array,
>               …… (perhaps million user)
> Just wondering how the hierarchical structure is implemented and such usage 
> pattern is supported? if no, is there any running or better way to store such 
> type of information? We adopt Pytables because the data is stored in

running -> tuning

> higher density, faster loaded and no ACID / concurrency overhead, so 
> traditional DB and no-sql db is not our option..
> Thanks,
> Jason

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