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HDF5 supports a filter pipeline that provides the capability for standard and customized raw data processing during I/O operations. HDF5 is distributed with a small set of standard filters such as compression (gzip and a shuffling algorithm) and error checking (Fletcher32 checksum). For further flexibility, the library allows a user application to extend the pipeline through the creation and registration of customized filters.
As mentioned above, one set of filters distributed with HDF5 provides
built-in methods for raw data compression.
The flexibility of the filter pipeline implementation enables the
definition of additional filters by a user application.
A filter
—
is associated with a dataset when the dataset is created,
—
can be used only with chunked data (ie., datasets stored in the
H5D_CHUNKED
storage layout), and
—
is applied independently to each chunk of the dataset.
The HDF5 library does not support filters for contiguous datasets because of the difficulty of implementing random access for partial I/O. Compact dataset filters are not supported because it would not produce significant results.
See The Dataset Interface (H5D) in the HDF5 User's Guide for further information regarding data compression.
H5Zfilter_avail
(H5Z_filter_t filter
)
H5Zfilter_avail
determines whether the filter
specified in filter
is available to the application.
filter
SUBROUTINE h5zfilter_avail_f(filter, status, hdferr) IMPLICIT NONE INTEGER, INTENT(IN) :: filter ! Filter ! Valid values are: ! H5Z_FILTER_DEFLATE_F ! H5Z_FILTER_SHUFFLE_F ! H5Z_FILTER_FLETCHER32_F LOGICAL, INTENT(OUT) :: status ! Flag indicating whether ! filter is availble: ! .TRUE. ! .FALSE. END SUBROUTINE h5zfilter_avail_f
H5Zregister
(const H5Z_class_t filter_class
)
)
H5Zregister
registers a new filter with the
HDF5 library.
Making a new filter available to an application is a two-step
process. The first step is to write
the three filter callback functions described below:
can_apply_func
, set_local_func
, and
filter_func
.
This call to H5Zregister
,
registering the filter with the
library, is the second step.
The can_apply_func
and set_local_func
fields can be set to NULL
if they are not required for the filter being registered.
H5Zregister
accepts a single parameter,
the filter_class
data structure,
which is defined as follows:
typedef struct H5Z_class_t { H5Z_filter_t filter_id; const char *comment; H5Z_can_apply_func_t can_apply_func; H5Z_set_local_func_t set_local_func; H5Z_func_t filter_func; } H5Z_class_t;
filter_id
is the identifier for the new filter.
This is a user-defined value between
H5Z_FILTER_RESERVED
and H5Z_FILTER_MAX
,
both of which are defined in the HDF5 source file
H5Zpublic.h
.
comment
is used for debugging,
may contain a descriptive name for the filter,
and may be the null pointer.
can_apply_func
, described in detail below,
is a user-defined callback function which determines whether
the combination of the dataset creation property list values,
the datatype, and the dataspace represent a valid combination
to apply this filter to.
set_local_func
, described in detail below,
is a user-defined callback function which sets any parameters that
are specific to this dataset, based on the combination of the
dataset creation property list values, the datatype, and the
dataspace.
filter_func
, described in detail below,
is a user-defined callback function which performs the action
of the filter.
The statistics associated with a filter are not reset by this function; they accumulate over the life of the library.
The callback functions
Before H5Zregister
can link a filter into an
application, three callback functions must be defined
as described in the HDF5 Library header file H5Zpublic.h
.
The can apply callback function is defined as follows:
H5Z_can_apply_func_t
)
(hid_t dcpl_id
,
hid_t type_id
,
hid_t space_id
)
Before a dataset is created, the can apply callbacks for
any filters used in the dataset creation property list are called
with the dataset's dataset creation property list, dcpl_id
,
the dataset's datatype, type_id
, and
a dataspace describing a chunk, space_id
,
(for chunked dataset storage).
This callback must determine whether the combination of the dataset creation property list settings, the datatype, and the dataspace represent a valid combination to which to apply this filter. For example, an invalid combination may involve the filter not operating correctly on certain datatypes, on certain datatype sizes, or on certain sizes of the chunk dataspace.
This callback can be the NULL
pointer, in which case
the library will assume that the filter can be applied to a dataset with
any combination of dataset creation property list values, datatypes,
and dataspaces.
The can apply callback function must return a positive value for a valid combination, zero for an invalid combination, and a negative value for an error.
The set local callback function is defined as follows:
H5Z_set_local_func_t
)
(hid_t dcpl_id
,
hid_t type_id
,
hid_t space_id
)
After the can apply callbacks are checked for a new dataset,
the set local callback functions for any filters used in the
dataset creation property list are called.
These callbacks receive
dcpl_id
, the dataset's private copy of the dataset
creation property list passed in to H5Dcreate
(i.e. not the actual property list passed in to H5Dcreate
);
type_id
, the datatype identifier passed in to
H5Dcreate
,
which is not copied and should not be modified; and
space_id
, a dataspace describing the chunk
(for chunked dataset storage), which should also not be modified.
The set local callback must set any filter parameters that are specific to this dataset, based on the combination of the dataset creation property list values, the datatype, and the dataspace. For example, some filters perform different actions based on different datatypes, datatype sizes, numbers of dimensions, or dataspace sizes.
The set local callback may be the NULL
pointer,
in which case, the library will assume that there are
no dataset-specific settings for this filter.
The set local callback function must return a non-negative value on success and a negative value for an error.
The filter operation callback function, defining the filter's operation on the data, is defined as follows:
H5Z_func_t
)
(unsigned int flags
,
size_t cd_nelmts
,
const unsigned int cd_values[]
,
size_t nbytes
,
size_t *buf_size
,
void **buf
)
The parameters flags
, cd_nelmts
,
and cd_values
are the same as for the function
H5Pset_filter
.
The one exception is that an additional flag,
H5Z_FLAG_REVERSE
, is set when
the filter is called as part of the input pipeline.
The parameter *buf
points to the input buffer
which has a size of *buf_size
bytes,
nbytes
of which are valid data.
The filter should perform the transformation in place if
possible. If the transformation cannot be done in place,
then the filter should allocate a new buffer with
malloc()
and assign it to *buf
,
assigning the allocated size of that buffer to
*buf_size
.
The old buffer should be freed by calling free()
.
If successful, the filter operation callback function
returns the number of valid bytes of data contained in *buf
.
In the case of failure, the return value is 0
(zero)
and all pointer arguments are left unchanged.
H5Zregister
interface is substantially revised
from the HDF5 Release 1.4.x series.
The H5Z_class_t
struct and
the set local and can apply callback functions
first appeared in HDF5 Release 1.6.
filter_class
H5Zunregister
(H5Z_filter_t filter
)
H5Zunregister
unregisters the filter
specified in filter
.
After a call to H5Zunregister
, the filter
specified in filter
will no longer be
available to the application.
filter
SUBROUTINE h5zunregister_f(filter, hdferr) IMPLICIT NONE INTEGER, INTENT(IN) :: filter ! Filter; one of the possible values: ! H5Z_FILTER_DEFLATE_F ! H5Z_FILTER_SHUFFLE_F ! H5Z_FILTER_FLETCHER32_F INTEGER, INTENT(OUT) :: hdferr ! Error code ! 0 on success, and -1 on failure END SUBROUTINE h5zunregister_f
HDF5 documents and links Introduction to HDF5 HDF5 User Guide |
And in this document, the
HDF5 Reference Manual
H5 H5A H5D H5E H5F H5G H5I H5P H5R H5S H5T H5Z Tools Datatypes |