You can dynamically build a compound HDF type. I’m playing in the
C#/.NET world and through reflection, I can dynamically build the struct
too. It’s a bit ugly, but is certainly do-able. I’m guessing it can be done
on the C side using untyped buffers and a lot of work figuring out
appropriate indexes.
S
*From:* Hdf-forum [mailto:hdf-forum-bounces@hdfgroup.org] *On Behalf Of *Cecilia
Herrera
*Sent:* Wednesday, April 17, 2013 4:12 AM
*To:* hdf-forum@hdfgroup.org
*Subject:* Re: [Hdf-forum] Different data types --- H5NX
Hello Pedro,
Thanks for your response.
I have a program where the user can choose one or more variables with
different data types to export. For example, name and age, which have
string and integer datatypes can be chosen. I do not know beforehand which
variables, what data types, and how many variables will be chosen. I have
looked at possibilities in HDF5 to do this, and think that the use of
compound data type is appropriate. The examples I found defined the
structure of the data (e.g. whether to have int or string in the first
column, etc.) using “struct”. For example, in
http://www.hdfgroup.org/ftp/HDF5/examples/misc-examples/cmpclass.c, the
“struct” is predefined at the start of the program (from line 15…).
However, for my application, I cannot predefine the structure, because it
depends on which variable the user will choose (can be a combination of
different types). Another option is to use strings for all variables (eg
in my example transforming the integer data type for age in a string), but
the data will take longer to export, and I would like to make the export
speed as fast as possible.
Would you know how I can attain what I want using compound data type or
any other way?
Thanks,
Cecilia
*From:* Pedro Vicente [mailto:pvicente@uci.edu <pvicente@uci.edu>]
*Sent:* Wednesday, April 17, 2013 6:43 AM
*To:* HDF Users Discussion List
*Cc:* Cecilia Herrera
*Subject:* Re: [Hdf-forum] Different data types --- H5NX
Hello, Cecilia
>I would like to export large amounts of data in one file. The data
variables can be of different types; but it is not known beforehand what
they are. I saw examples where the Compound data type was used with a
pre-defined “struct”. In this case, I cannot >pre-define my struct. I can
ofcourse make everything string, but I want to take advantage of the faster
speed of writing other types. How should I approach the problem? Do you
have available examples? It would also be nice to make use of the H5NX
library >of Pedro Vicente for faster speed, but I deal with 2D matrices and
different data types.
It's not clear to me, from your description, the nature of the problem
you're trying to solve.
If you send further details I'll be glad to help.
Regarding the use of H5NX, this page
http://www.space-research.org/nexus/h5nx.html
has both links for
H5NX User’s Guide <http://www.space-research.org/nexus/h5nx_user.html>
Detailed guide covering critical H5NX features
H5NX Reference Manual<http://www.space-research.org/nexus/h5nx_ref.html>
Detailed C++ interface descriptions
>> but I deal with 2D matrices and different data types.
The H5NX function H5NXmake_dataset_vector deals with any rank, that is,
you can use it to define a 1D array, a 2D array, etc.
Just put your data values into a std::vector of any type and define the
dimensions in a std::vector<hsize_t>
If the size of this dimension vector is, say 2, then you have a matrix, or
a 2D array.
Since this is C++, there is no need for an extra parameter to the function
with the size of the dimension vector (the rank)
int H5NXmake_dataset_vector(const std::string &group_path,
const std::string &dataset_name,
const std::vector<NumT> &vec,
const std::vector<hsize_t> &dim_vec);
The only function that currently deals exclusively with a 1D array is
H5NXappend_slab
Regarding the types, I am currently defining it for other types, I'll
upload a new version when done.
H5NX uses the HDF5 native types corresponding to the C99 fixed width
integer types plus the HDF5 string type, used in the "string" functions
int8_t
uint8_t
int16_t
uint16_t
int32_t
uint32_t
int64_t
uint64_t
float
double
but not all API functions have templates for all types.
What are your needs regarding these types and functions ?
Pedro
------
Pedro Vicente, Earth System Science
University of California, Irvine
http://www.ess.uci.edu/
----- Original Message -----
*From:* Cecilia Herrera <C.Herrera@Noldus.NL>
*To:* 'hdf-forum@hdfgroup.org'
*Sent:* Monday, March 11, 2013 2:26 AM
*Subject:* [Hdf-forum] Different data types
I would like to export large amounts of data in one file. The data
variables can be of different types; but it is not known beforehand what
they are. I saw examples where the Compound data type was used with a
pre-defined “struct”. In this case, I cannot pre-define my struct. I can
ofcourse make everything string, but I want to take advantage of the faster
speed of writing other types. How should I approach the problem? Do you
have available examples? It would also be nice to make use of the H5NX
library of Pedro Vicente for faster speed, but I deal with 2D matrices and
different data types.
Thanks for the help!
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