HDF5 1.14.5
API Reference
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Use the functions in this module to manage HDF5 filters.
User-defined filters are created by registering a filter descriptor of type H5Z_class_t with the library.
Available filters can be read or examined at runtime.
It is conceivable that filters are stateful and that that state be updated at runtime.
Filters are deleted by unregistering.
Create | Read |
---|---|
herr_t H5Zget_filter_info(H5Z_filter_t filter, unsigned int *filter_config_flags) Retrieves information about a filter. | |
Update | Delete |
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, SZIP, 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.
The flexibility of the filter pipeline implementation enables the definition of additional filters by a user application. A filter
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 they would not produce significant results.
Filter identifiers for the filters distributed with the HDF5 Library are as follows:
H5Z_FILTER_DEFLATE | The gzip compression, or deflation, filter |
H5Z_FILTER_SZIP | The SZIP compression filter |
H5Z_FILTER_NBIT | The N-bit compression filter |
H5Z_FILTER_SCALEOFFSET | The scale-offset compression filter |
H5Z_FILTER_SHUFFLE | The shuffle algorithm filter |
H5Z_FILTER_FLETCHER32 | The Fletcher32 checksum, or error checking, filter |
Custom filters that have been registered with the library will have additional unique identifiers.
See HDF5 Filter Plugins for more information on how an HDF5 application can apply a filter that is not registered with the HDF5 library.
Modules | |
Predefined Filters | |
Functions | |
herr_t | H5Zregister (const void *cls) |
Registers a new filter with the HDF5 library. | |
herr_t | H5Zunregister (H5Z_filter_t id) |
Unregisters a filter. | |
htri_t | H5Zfilter_avail (H5Z_filter_t id) |
Determines whether a filter is available. | |
herr_t | H5Zget_filter_info (H5Z_filter_t filter, unsigned int *filter_config_flags) |
Retrieves information about a filter. | |
htri_t H5Zfilter_avail | ( | H5Z_filter_t | id | ) |
Determines whether a filter is available.
[in] | id | Filter identifier |
H5Zfilter_avail() determines whether the filter specified in id
is available to the application.
herr_t H5Zget_filter_info | ( | H5Z_filter_t | filter, |
unsigned int * | filter_config_flags | ||
) |
Retrieves information about a filter.
[in] | filter | Filter identifier |
[out] | filter_config_flags | A bit field encoding the returned filter information |
H5Zget_filter_info() retrieves information about a filter. At present, this means that the function retrieves a filter's configuration flags, indicating whether the filter is configured to decode data, encode data, neither, or both.
If filter_config_flags
is not set to NULL prior to the function call, the returned parameter contains a bit field specifying the available filter configuration. The configuration flag values can then be determined through a series of bitwise AND operations, as described below.
Valid filter configuration flags include the following:
H5Z_FILTER_CONFIG_ENCODE_ENABLED | Encoding is enabled for this filter |
H5Z_FILTER_CONFIG_DECODE_ENABLED | Decoding is enabled for this filter |
A bitwise AND of the returned filter_config_flags
and a valid filter configuration flag will reveal whether the related configuration option is available. For example, if the value of
is true, i.e., greater than 0 (zero), the queried filter is configured to encode data; if the value is false
, i.e., equal to 0 (zero), the filter is not so configured.
If a filter is not encode-enabled, the corresponding H5Pset_*
function will return an error if the filter is added to a dataset creation property list (which is required if the filter is to be used to encode that dataset). For example, if the H5Z_FILTER_CONFIG_ENCODE_ENABLED flag is not returned for the SZIP filter, H5Z_FILTER_SZIP, a call to H5Pset_szip() will fail.
If a filter is not decode-enabled, the application will not be able to read an existing file encoded with that filter.
This function should be called, and the returned filter_config_flags
should be analyzed, before calling any other function, such as H5Pset_szip(), that might require a particular filter configuration.
herr_t H5Zregister | ( | const void * | cls | ) |
Registers a new filter with the HDF5 library.
[in] | cls | A pointer to a buffer for the struct containing the filter-definition |
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
, set_local
, and filter
. This call to H5Zregister(), registering the filter with the library, is the second step. The can_apply and set_local fields can be set to NULL if they are not required for the filter being registered.
H5Zregister() accepts a single parameter, a pointer to a buffer for the cls
data structure. That data structure must conform to one of the following definitions:
or
version
is a library-defined value reporting the version number of the H5Z_class_t struct. This currently must be set to H5Z_CLASS_T_VERS.
id
is the identifier for the new filter. This is a user-defined value between H5Z_FILTER_RESERVED and H5Z_FILTER_MAX. These values are defined in the HDF5 source file H5Zpublic.h, but the symbols H5Z_FILTER_RESERVED and H5Z_FILTER_MAX should always be used instead of the literal values.
encoder_present
is a library-defined value indicating whether the filter's encoding capability is available to the application.
decoder_present
is a library-defined value indicating whether the filter's encoding capability is available to the application.
name
is a descriptive comment used for debugging, may contain a descriptive name for the filter, and may be the null pointer.
can_apply
, described in detail below, is a user-defined callback function that 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
, described in detail below, is a user-defined callback function that 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
, 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.
H5Z_class_t is a macro that maps to either H5Z_class1_t or H5Z_class2_t, depending on the needs of the application. To affect only this macro, H5Z_class_t_vers may be defined as either 1 or 2. Otherwise, it will behave in the same manner as other API compatibility macros. See API Compatibility Macros in HDF5 for more information. H5Z_class1_t matches the H5Z_class_t structure that is used in the 1.6.x versions of the HDF5 library.
H5Zregister() will automatically detect which structure type has been passed in, regardless of the mapping of the H5Z_class_t macro. However, the application must make sure that the fields are filled in according to the correct structure definition if the macro is used to declare the structure.
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.
When a filter is applied to the fractal heap for a group (e.g., when compressing group metadata) and if they can apply and set local callback functions that have been defined for that filter, HDF5 passes the value -1 for all parameters for those callback functions. This is done to ensure that the filter will not be applied to groups if it relies on these parameters, as they are not applicable to group fractal heaps; to operate on group fractal heaps, a filter must be capable of operating on an opaque block of binary data.
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.
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. If this filter is enabled through H5Pset_filter() as optional and the can apply function returns 0, the library will skip the filter in the filter pipeline.
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 set local callback function is defined as follows:
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 into H5Dcreate() (i.e. not the actual property list passed into H5Dcreate()); type_id
, the datatype identifier passed into 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:
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 and assign it to buf
, assigning the allocated size of that buffer to buf_size
. The old buffer should be freed by the filter.
Some care must be taken with the functions that allocate and free memory. Standard C library functions like malloc(3) and free(3) will work in many cases, but if there is a mismatch between the memory allocators used in the library and any filter that reallocates a buffer, there could be problems. This is most often the case with Windows and/or when debugging memory allocators are being used. In both cases, the "state" of the memory allocator lies in different libraries and will get corrupted if you allocate in one library and free in another. Windows adds the C standard library via dlls that can vary with Visual Studio version and debug vs. release builds. Static links to the MSVC CRT can also introduce a new memory allocator state.
The library does provide H5allocate_memory() and H5free_memory() functions that will use the library's allocation and free functions, however using these functions will require linking your filter to a particular version of the library, which may be inconvenient.
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.
version
, encoder_present
, and decoder_present
were added to the H5Z_class_t struct
in this release. herr_t H5Zunregister | ( | H5Z_filter_t | id | ) |
Unregisters a filter.
[in] | id | Identifier of the filter to be unregistered. |
H5Zunregister() unregisters the filter specified in id
.
This function first iterates through all opened datasets and groups. If an open object that uses this filter is found, the function will fail with a message indicating that an object using the filter is still open. All open files are then flushed to make sure that all cached data that may use this filter are written out.
If the application is a parallel program, all processes that participate in collective data writing should call this function to ensure that all data is flushed.
After a call to H5Zunregister(), the filter specified in filter will no longer be available to the application.