Hello,
it seems your complex compound data type is related to points in the
3D dataset? If so, why wouldn't you store the respective indices of these
points with each individual file? If all is stored and formulated in HDF5
then you can "mount" one file on another file and thus multiple physical
(HDF5) files appear as one logical file. See
http://www.hdfgroup.org/HDF5/doc/RM/RM_H5F.html#File-Mount
for documentation on how to mount HDF5 files. Maybe you want to provide
one meta-file which is used to mount all those sub-files, but it should
also be possible to do it symmetrically.
Regards,
Werner
On Mon, 26 Sep 2011 21:30:20 +0200, rogez <[email protected]>
wrote:
rogez wrote:
Hello,
I'm new to HDF and have read tutorials and some parts of the user's
guide
and reference manual but I can't find the best practice to implement the
following structure.
Basically, I need two datasets :
one defining my result data (a one-dimensional array of a complex
compound datatype).
one sorting this data in a 3D space (a three-dimensional dataset
containing an array of indices or references to an item of the previous
dataset).
These data will approach two or three hundreds of gigabytes.
It will be generated on a computing grid with thousands of nodes, each
one
writing to a file.
I would like to avoid using MPI but it is not mandatory.
Is there a mean to access data through the second dataset (by passing a
3D
coordinate) and retrieve in a single call all the data in the first
dataset dispatched in the multiple generated files ?
I've seen that I can create a wrapper file that store external links to
each single file and parse all my links to browse my whole data, but I
wonder if there already exists a ready-to-use solution for that...
Thanks a lot in advance,
Yves
I've seen the multi virtual file driver but it seems to be able to
separate
the datatypes and not splitting the raw data itself.
Is that right ?
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