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Appendix D. NetCDF-4 Filter Support

> See Appendix D.1. NetCDF-4 Filter QuickStart for tips to get started quickly with NetCDF-4 Filter Support.

# Filters Overview

NetCDF-C filters have some features of which the user should be aware.

- Auto Install of filters
  An option is now provided to automatically install HDF5 filters into a default location, or optionally into a user-specified location. This is described in the pluginpath.md document.
- NCZarr Filter Support
  NCZarr filters are now supported. This essentially means that it is possible to specify Zarr Codecs (Zarr equivalent of filters) in Zarr files and have them processed using HDF5-style wrapper shared libraries. Zarr filters can be used even if HDF5 support is disabled in the netCDF-C library.

# Introduction to Filters

The netCDF library supports a general filter mechanism to apply various kinds of filters to datasets before reading or writing. The most common kind of filter is a compression-decompression filter, and that is the focus of this document. But non-compression filters – fletcher32, for example – also exist.

This document describes the support for HDF5 filters and also the newly added support for NCZarr filters.

The netCDF enhanced (aka netCDF-4) library inherits this capability since it depends on the HDF5 library. The HDF5 library (1.8.11 and later) supports filters, and netCDF is based closely on that underlying HDF5 mechanism.

Filters assume that a variable has chunking defined and each chunk is filtered before writing and "unfiltered" after reading and before passing the data to the user. In the event that multiple filters are defined on a variable, they are applied in first-defined order on writing and on the reverse order when reading.

There is an important "caveat" with respect to filters and their application to variables. If the type of the variable is variable-sized, then attempts to define a filter on such a variable will not be allowed. In this case, the call to nc_def_var_filter will succeed but the filter will be suppressed and a warning will be logged. Similarly, if an existing file is opened, and there is a variable-sized variable with a filter, then that variable will be suppressed and will be inaccessible through the netcdf-c API.

The concept of a variable-sized type is defined as follows:

1. The type NC_STRING is variable-sized.
2. Any user defined type of the class NC_VLEN is variable sized.
3. If a compound type has any field that is (transitively) variable-sized, then that compound type is variable-sized.
4. All other types are fixed-size.

# A Warning on Backward Compatibility

The API defined in this document should accurately reflect the current state of filters in the netCDF-c library. Be aware that there was a short period in which the filter code was undergoing some revision and extension. Those extensions have largely been reverted. Unfortunately, some users may experience some compilation problems for previously working code because of these reversions. In that case, please revise your code to adhere to this document. Apologies are extended for any inconvenience.

A user may encounter an incompatibility if any of the following appears in user code.

- The function *_nc_inq_var_filter* was returning the error value NC_ENOFILTER if a variable had no associated filters. It has been reverted to the previous case where it returns NC_NOERR and the returned filter id was set to zero if the variable had no filters.
- The function nc_inq_var_filterids was renamed to nc_inq_var_filter_ids.
- Some auxiliary functions for parsing textual filter specifications have been moved to the file netcdf_aux.h. See Appendix A.
- All of the "filterx" functions have been removed. This is unlikely to cause problems because they had limited visibility.

For additional information, see Appendix B.

# Enabling A HDF5 Compression Filter

HDF5 supports dynamic loading of compression filters using the following process for reading of compressed data.

1. Assume that we have a dataset with one or more variables that were compressed using some algorithm. How the dataset was compressed will be discussed subsequently.
2. Shared libraries or DLLs exist that implement the compress/decompress algorithm. These libraries have a specific API so that the HDF5 library can locate, load, and utilize the compressor.
3. These libraries are expected to installed in a specific directory.

In order to compress a variable with an HDF5 compliant filter, the netcdf-c library must be given three pieces of information:

1. some unique identifier for the filter to be used,
2. a vector of parameters for controlling the action of the compression filter, and
3. access to a shared library implementation of the filter.

The meaning of the parameters is, of course, completely filter dependent and the filter description [3] needs to be consulted. For bzip2, for example, a single parameter is provided representing the compression level. It is legal to provide a zero-length set of parameters. Defaults are not provided, so this assumes that the filter can operate with zero parameters.

Filter ids are assigned by the HDF group. See [4] for a current list of assigned filter ids. Note that ids above 32767 can be used for testing without registration.

The first two pieces of information can be provided in one of three ways: (1) using ncgen, (2) via an API call, or (3) via command line parameters to nccopy. In any case, remember that filtering also requires setting chunking, so the variable must also be marked with chunking information. If compression is set for a non-chunked variable, the variable will forcibly be converted to chunked using a default chunking algorithm.

# Using The API

The necessary API methods are included in netcdf_filter.h by default. These functions implicitly use the HDF5 mechanisms and may produce an error if applied to a file format that is not compatible with the HDF5 mechanism.

## nc_def_var_filter

Add a filter to the set of filters to be used when writing a variable. This must be invoked after the variable has been created and before nc_enddef is invoked. int nc_def_var_filter(int ncid, int varid, unsigned int id, size_t nparams, const unsigned int* params); Arguments:

- ncid - File and group ID.
- varid - Variable ID.
- id - Filter ID.
- nparams - Number of filter parameters.
- params - Filter parameters (a vector of unsigned integers)

Return codes:

- NC_NOERR - No error.
- NC_ENOTNC4 - Not a netCDF-4 file.
- NC_EBADID - Bad ncid or bad filter id
- NC_ENOTVAR - Invalid variable ID.
- NC_EINDEFINE - called when not in define mode
- NC_ELATEDEF - called after variable was created
- NC_EINVAL - Scalar variable, or parallel enabled and parallel filters not supported or nparams or params invalid.

## nc_inq_var_filter_ids

Query a variable to obtain a list of the ids of all filters associated with that variable. int nc_inq_var_filter_ids(int ncid, int varid, size_t* nfiltersp, unsigned int* filterids); Arguments:

- ncid - File and group ID.
- varid - Variable ID.
- nfiltersp - Stores number of filters found; may be zero.
- filterids - Stores set of filter ids.

Return codes:

- NC_NOERR - No error.
- NC_ENOTNC4 - Not a netCDF-4 file.
- NC_EBADID - Bad ncid
- NC_ENOTVAR - Invalid variable ID.

The number of filters associated with the variable is stored in nfiltersp (it may be zero). The set of filter ids will be returned in filterids. As is usual with the netcdf API, one is expected to call this function twice. The first time to set nfiltersp and the second to get the filter ids in client-allocated memory. Any of these arguments can be NULL, in which case no value is returned.

## nc_inq_var_filter_info

Query a variable to obtain information about a specific filter associated with the variable. int nc_inq_var_filter_info(int ncid, int varid, unsigned int id, size_t* nparamsp, unsigned int* params); Arguments:

- ncid - File and group ID.
- varid - Variable ID.
- id - The filter id of interest.
- nparamsp - Stores number of parameters.
- params - Stores set of filter parameters.

Return codes:

- NC_NOERR - No error.
- NC_ENOTNC4 - Not a netCDF-4 file.
- NC_EBADID - Bad ncid
- NC_ENOTVAR - Invalid variable ID.
- NC_ENOFILTER - Filter not defined for the variable.

The id indicates the filter of interest. The actual parameters are stored in params. The number of parameters is returned in nparamsp. As is usual with the netcdf API, one is expected to call this function twice. The first time to set nparamsp and the second to get the parameters in client-allocated memory. Any of these arguments can be NULL, in which case no value is returned. If the specified id is not attached to the variable, then NC_ENOFILTER is returned.

## nc_inq_var_filter

Query a variable to obtain information about the first filter associated with the variable. When netcdf-c was modified to support multiple filters per variable, the utility of this function became redundant since it returns info only about the first defined filter for the variable. Internally, it is implemented using the functions nc_inq_var_filter_ids and nc_inq_filter_info.

int nc_inq_var_filter(int ncid, int varid, unsigned int* idp, size_t* nparamsp, unsigned int* params);

Arguments:

- ncid - File and group ID.
- varid - Variable ID.
- idp - Stores the id of the first found filter, set to zero if variable has no filters.
- nparamsp - Stores number of parameters.
- params - Stores set of filter parameters.

Return codes:

- NC_NOERR - No error.
- NC_ENOTNC4 - Not a netCDF-4 file.
- NC_EBADID - Bad ncid
- NC_ENOTVAR - Invalid variable ID.

The filter id will be returned in the idp argument. If there are no filters, then zero is stored in this argument. Otherwise, the number of parameters is stored in nparamsp and the actual parameters in params. As is usual with the netcdf API, one is expected to call this function twice. The first time to get nparamsp and the second to get the parameters in client-allocated memory. Any of these arguments can be NULL, in which case no value is returned.

# Using ncgen

In a CDL file, compression of a variable can be specified by annotating it with the following attribute:

- *_Filter* - a string containing a comma separated list of constants specifying (1) the filter id to apply, and (2) a vector of constants representing the parameters for controlling the operation of the specified filter. See the section on the parameter encoding syntax for the details on the allowable kinds of constants.

This is a "special" attribute, which means that it will normally be invisible when using ncdump unless the -s flag is specified.

For backward compatibility it is probably better to use the *_Deflate* attribute instead of *_Filter*. But using *_Filter* to specify deflation will work.

Multiple filters can be specified for a given variable by using the "|" separator. Alternatively, this attribute may be repeated to specify multiple filters.

Note that the lexical order of declaration is important when more than one filter is specified for a variable because it determines the order in which the filters are applied.

## Example CDL File (Data elided)

netcdf bzip2szip { Dimensions: dim0 = 4 ; dim1 = 4 ; dim2 = 4 ; dim3 = 4 ; Variables: float var(dim0, dim1, dim2, dim3) ; var:_Filter = "307,9|4,32,32" ; // bzip2 then szip var:_Storage = "chunked" ; var:_ChunkSizes = 4, 4, 4, 4 ; data: ... }

Note that the assigned filter id for bzip2 is 307 and for szip it is 4.

# Using nccopy

When copying a netcdf file using nccopy it is possible to specify filter information for any output variable by using the "-F" option on the command line; for example:

    nccopy -F "var,307,9" unfiltered.nc filtered.nc

Assume that unfiltered.nc has a chunked but not bzip2 compressed variable named "var". This command will copy that variable to the filtered.nc output file but using filter with id 307 (i.e. bzip2) and with parameter(s) 9 indicating the compression level. See the section on the parameter encoding syntax for the details on the allowable kinds of constants.

The "-F" option can be used repeatedly, as long as a different variable is specified for each occurrence.

It can be convenient to specify that the same compression is to be applied to more than one variable. To support this, two additional -F cases are defined.

1. -F *,... means apply the filter to all variables in the dataset.
2. -F v1&v2&..,... means apply the filter to multiple variables.

Multiple filters can be specified using the pipeline notions '|'. For example

1. -F v1&v2,307,9|4,32,32 means apply filter 307 (bzip2) then filter 4 (szip) to the multiple variables.

Note that the characters '*', '&', and '|' are shell reserved characters, so you will probably need to escape or quote the filter spec in that environment.

As a rule, any input filter on an input variable will be applied to the equivalent output variable - assuming the output file type is netcdf-4. It is, however, sometimes convenient to suppress output compression either totally or on a per-variable basis. Total suppression of output filters can be accomplished by specifying a special case of "-F", namely this.

    nccopy -F none input.nc output.nc

The expression -F *,none is equivalent to -F none.

Suppression of output filtering for a specific set of variables can be accomplished using these formats.

    nccopy -F "var,none" input.nc output.nc
    nccopy -F "v1&v2&...,none" input.nc output.nc

where "var" and the "vi" are the fully qualified name of a variable.

The rules for all possible cases of the "-F none" flag are defined by this table.

-F none | -Fvar,... | Input Filter | Applied Output Filter
--- | --- | --- | ---
true | undefined | NA | unfiltered
true | none | NA | unfiltered
true | defined | NA | use output filter(s)
false | undefined | defined | use input filter(s)
false | none | NA | unfiltered
false | defined | undefined | use output filter(s)
false | undefined | undefined | unfiltered
false | defined | defined | use output filter(s)

# Filter Specification Syntax

The utilities ncgen and nccopy, and also the output of ncdump, support the specification of filter ids, formats, and parameters in text format. The BNF specification is defined in Appendix C. Basically, These specifications consist of a filter id, a comma, and then a sequence of comma separated constants representing the parameters. The constants are converted within the utility to a proper set of unsigned int constants (see the parameter encoding section).

To simplify things, various kinds of constants can be specified rather than just simple unsigned integers. The ncgen and nccopy programs will encode them properly using the rules specified in the section on parameter encode/decode. Since the original types are lost after encoding, ncdump will always show a simple list of unsigned integer constants.

The currently supported constants are as follows.

Example | Type | Format Tag | Notes
--- | --- | --- | ---
-17b | signed 8-bit byte | b|B | Truncated to 8 bits and sign extended to 32 bits
23ub | unsigned 8-bit byte | u|U b|B | Truncated to 8 bits and zero extended to 32 bits
-25S | signed 16-bit short | s|S | Truncated to 16 bits and sign extended to 32 bits
27US | unsigned 16-bit short | u|U s|S | Truncated to 16 bits and zero extended to 32 bits
-77 | implicit signed 32-bit integer | Leading minus sign and no tag |
77 | implicit unsigned 32-bit integer | No tag |
93U | explicit unsigned 32-bit integer | u|U |
789f | 32-bit float | f|F |
12345678.12345678d | 64-bit double | d|D | LE encoding
-9223372036854775807L | 64-bit signed long long | l|L | LE encoding
18446744073709551615UL | 64-bit unsigned long long | u|U l|L | LE encoding

Some things to note.

1. In all cases, except for an untagged positive integer, the format tag is required and determines how the constant is converted to one or two unsigned int values.
2. For an untagged positive integer, the constant is treated as of the smallest type into which it fits (i.e. 8,16,32, or 64 bit).
3. For signed byte and short, the value is sign extended to 32 bits and then treated as an unsigned int value, but maintaining the bit-pattern.
4. For double, and signed|unsigned long long, they are converted as specified in the section on parameter encode/decode.
5. In order to support multiple filters, the argument to *_Filter* may be a pipeline separated (using '|') to specify a list of filters specs.

# Dynamic Loading Process

Each filter is assumed to be compiled into a separate dynamically loaded library. For HDF5 conformant filters, these filter libraries are assumed to be in some specific location. The details for writing such a filter are defined in the HDF5 documentation[1,2].

## Plugin directory

The HDF5 loader searches for plugins in a number of directories. The netcdf-c process for installing and locating plugins is described in detail in the pluginpath.md document.

## Plugin Library Naming

Given a plugin directory, HDF5 examines every file in that directory that conforms to a specified name pattern as determined by the platform on which the library is being executed.

Platform | Basename | Extension
--- | --- | ---
Linux | lib* | .so*
OSX | lib* | .dylib*
Cygwin | cyg* | .dll*
Windows | * | .dll

## Plugin Verification

For each dynamic library located using the previous patterns, HDF5 attempts to load the library and attempts to obtain information from it. Specifically, It looks for two functions with the following signatures.

1. H5PL_type_t H5PLget_plugin_type(void) - This function is expected to return the constant value H5PL_TYPE_FILTER to indicate that this is a filter library.
2. const void H5PLget_plugin_info(void)* - This function returns a pointer to a table of type H5Z_class2_t. This table contains the necessary information needed to utilize the filter both for reading and for writing. In particular, it specifies the filter id implemented by the library and it must match that id specified for the variable in nc_def_var_filter in order to be used.

If plugin verification fails, then that plugin is ignored and the search continues for another, matching plugin.

# NCZarr Filter Support

The inclusion of Zarr support in the netcdf-c library creates the need to provide a new representation consistent with the way that Zarr files store filter information. For Zarr, filters are represented using the JSON notation. Each filter is defined by a JSON dictionary, and each such filter dictionary is guaranteed to have a key named "id" whose value is a unique string defining the filter algorithm: "lz4" or "bzip2", for example.

The parameters of the filter are defined by additional - algorithm specific - keys in the filter dictionary. One commonly used filter is "blosc", which has a JSON dictionary of this form. { "id": "blosc", "cname": "lz4", "clevel": 5, "shuffle": 1 } So it has three parameters:

1. "cname" - the sub-algorithm used by the blosc compressor, LZ4 in this case.
2. "clevel" - the compression level, 5 in this case.
3. "shuffle" - is the input shuffled before compression, yes (1) in this case.

NCZarr has four constraints that must be met.

1. It must store its filter information in its metadata in the above JSON dictionary format.
2. It is required to reuse the HDF5 filter implementations. This is to avoid having to rewrite the filter implementations This means that some mechanism is needed to translate between the HDF5 id+parameter model and the Zarr JSON dictionary model.
3. It must be possible to modify the set of visible parameters in response to environment information such as the type of the associated variable; this is required to mimic the corresponding HDF5 capability.
4. It must be possible to use filters even if HDF5 support is disabled.

Note that the term "visible parameters" is used here to refer to the parameters provided by nc_def_var_filter or those stored in the dataset's metadata as provided by the JSON codec. The term "working parameters" refers to the parameters given to the compressor itself and derived from the visible parameters.

The standard authority for defining Zarr filters is the list supported by the NumCodecs project [7]. Comparing the set of standard filters (aka codecs) defined by NumCodecs to the set of standard filters defined by HDF5 [3], it can be seen that the two sets overlap, but each has filters not defined by the other.

Note also that it is undesirable that a specific set of filters/codecs be built into the NCZarr implementation. Rather, it is preferable for there be some extensible way to associate the JSON with the code implementing the codec. This mirrors the plugin model used by HDF5.

The mechanism provided to address these issues is similar to that taken by HDF5. A shared library must exist that has certain well-defined entry points that allow the NCZarr code to determine information about a Codec. The shared library exports a well-known function name to access Codec information and relate it to a corresponding HDF5 implementation, Note that the shared library may optionally be the same library containing the HDF5 filter processor.

## Processing Overview

There are several paths by which the NCZarr filter API is invoked.

1. The nc_def_var_filter function is invoked on a variable or (1a) the metadata for a variable is read when opening an existing variable that has associated Codecs.
2. The visible parameters are converted to a set of working parameters.
3. The filter is invoked with the working parameters.
4. The dataset is closed using the final set of visible parameters.

### Step 1: Invoking nc_def_var_filter

In this case, the filter plugin is located and the set of visible parameters (from nc_def_var_filter) are provided.

### Step 1a: Reading metadata

In this case, the codec is read from the metadata and must be converted to a visible set of HDF5 style parameters. It is possible that this set of visible parameters differs from the set that was provided by nc_def_var_filter. If this is important, then the filter implementation is responsible for marking this difference using, for example, different number of parameters or some differing value.

### Step 2: Convert visible parameters to working parameters

Given environmental information such as the associated variable's base type, the visible parameters are converted to a potentially larger set of working parameters; additionally provide the opportunity to modify the visible parameters.

### Step 3: Invoking the filter

As chunks are read or written, the filter is repeatedly invoked using the working parameters.

### Step 4: Closing the dataset

The visible parameters from step 2 are stored in the dataset's metadata. It is desirable to determine if the set of visible parameters changes. If no change is detected, then re-writing the compressor metadata may be avoided.

## Client API

Currently, there is no way to specify use of a filter via Codec through the netcdf-c API. Rather, one must know the HDF5 id and parameters of the filter of interest and use the functions nc_def_var_filter and nc_inq_var_filter. Internally, the NCZarr code will use information about known Codecs to convert the HDF5 filter reference to the corresponding Codec. This restriction also holds for the specification of filters in ncgen and nccopy. This limitation may be lifted in the future.

## Special Codecs Attribute

A new special attribute is defined called *_Codecs* in parallel to the current *_Filters* special attribute. Its value is a string containing the JSON representation of the Codecs associated with a given variable. This can be especially useful when a file is unreadable because it uses a filter not available to the netcdf-c library. That is, no implementation was found in the e.g. HDF5_PLUGIN_PATH directory. In this case ncdump -hs will display the raw Codec information so that it may be possible to see what filter is missing.

## Pre-Processing Filter Libraries

The process for using filters for NCZarr is defined to operate in several steps. First, as with HDF5, all shared libraries in a specified directory (e.g. HDF5_PLUGIN_PATH) are scanned. They are interrogated to see what kind of library they implement, if any. This interrogation operates by seeing if certain well-known (function) names are defined in this library.

There will be two library types:

1. HDF5 - exports a specific API: H5Z_plugin_type and H5Z_get_plugin_info.
2. Codec - exports a specific API: NCZ_get_codec_info

Note that a given library can export either or both of these APIs. This means that we can have three types of libraries:

1. HDF5 only
2. Codec only
3. HDF5 + Codec

Suppose that our HDF5_PLUGIN_PATH location has an HDF5-only library. Then by adding a corresponding, separate, Codec-only library to that same location, it is possible to make an HDF5 library usable by NCZarr. It is possible to do this without having to modify the HDF5-only library. Over time, it is possible to merge an HDF5-only library with a Codec-only library to produce a single, combined library.

## Using Plugin Libraries

The netcdf-c library processes all of the shared libraries by interrogating each one for the well-known APIs and recording the result. Any libraries that do not export one or both of the well-known APIs is ignored.

Internally, the netcdf-c library pairs up each HDF5 library API with a corresponding Codec API by invoking the relevant well-known functions (See Appendix E. This results in this table for associated codec and hdf5 libraries.

HDF5 API | Codec API | Action
--- | --- | ---
Not defined | Not defined | Ignore
Defined | Not defined | Ignore
Defined | Defined | NCZarr usable

## Filter Defaults Library

As a special case, a shared library may be created to hold defaults for a common set of filters. Basically, there is a specially defined function that returns a vector of codec APIs. These defaults are used only if no other library provides codec information for a filter. Currently, the defaults library provides codec defaults for Shuffle, Fletcher32, Deflate (zlib), and SZIP.

## Using the Codec API

Given a set of filters for which the HDF5 API and the Codec API are defined, it is then possible to use the APIs to invoke the filters and to process the meta-data in Codec JSON format.

### Writing an NCZarr Container

When writing, the user program will invoke the NetCDF API function nc_def_var_filter. This function is currently defined to operate using HDF5-style id and parameters (unsigned ints). The netcdf-c library examines its list of known filters to find one matching the HDF5 id provided by nc_def_var_filter. The set of parameters provided is stored internally. Then during writing of data, the corresponding HDF5 filter is invoked to encode the data.

When it comes time to write out the meta-data, the stored HDF5-style parameters are passed to a specific Codec function to obtain the corresponding JSON representation. Again see Appendix E. This resulting JSON is then written in the NCZarr metadata.

### Reading an NCZarr Container

When reading, the netcdf-c library will read the metadata for a given variable and will see that some set of filters are applied to this variable. The metadata is encoded as Codec-style JSON.

Given a JSON Codec, it is parsed to provide a JSON dictionary containing the string "id" and the set of parameters as various keys. The netcdf-c library examines its list of known filters to find one matching the Codec "id" string. The JSON is passed to a Codec function to obtain the corresponding HDF5-style unsigned int parameter vector. These parameters are stored for later use.

## Supporting Filter Chains

HDF5 supports filter chains, which is a sequence of filters where the output of one filter is provided as input to the next filter in the sequence. When encoding, the filters are executed in the "forward" direction, while when decoding the filters are executed in the "reverse" direction.

In the Zarr meta-data, a filter chain is divided into two parts: the "compressor" and the "filters". The former is a single JSON codec as described above. The latter is an ordered JSON array of codecs. So if compressor is something like "compressor": {"id": "c"...} and the filters array is like this: "filters": [ {"id": "f1"...}, {"id": "f2"...}...{"id": "fn"...}] then the filter chain is (f1,f2,...fn,c) with f1 being applied first and c being applied last when encoding. On decode, the filter chain is executed in the order (c,fn...f2,f1).

So, an HDF5 filter chain is divided into two parts, where the last filter in the chain is assigned as the "compressor" and the remaining filters are assigned as the "filters". But independent of this, each codec, whether a compressor or a filter, is stored in the JSON dictionary form described earlier.

## Extensions

The Codec style, using JSON, has the ability to provide very complex parameters that may be hard to encode as a vector of unsigned integers. It might be desirable to consider exporting a JSON-base API out of the netcdf-c API to support user access to this complexity. This would mean providing some alternate version of nc_def_var_filter that takes a string-valued argument instead of a vector of unsigned ints. This extension is unlikely to be implemented until a compelling use-case is encountered.

One bad side-effect of this is that we then may have two classes of plugins. One class can be used by both HDF5 and NCZarr, and a second class that is usable only with NCZarr.

## Using The NetCDF-C Plugins

As part of its testing, the NetCDF build process creates a number of shared libraries in the netcdf-c/plugins (or sometimes netcdf-c/plugins/.libs) directory. If you need a filter from that set, you may be able to set HDF5_PLUGIN_PATH to point to that directory or you may be able to copy the shared libraries out of that directory to your own location.

# Lossy One-Way Filters

As of NetCDF version 4.8.2, the netcdf-c library supports bit-grooming filters.

    Bit-grooming is a lossy compression algorithm that removes the
    bloat due to false-precision, those bits and bytes beyond the
    meaningful precision of the data. Bit Grooming is statistically
    unbiased, applies to all floating point numbers, and is easy to
    use. Bit-Grooming reduces data storage requirements by
    25-80%. Unlike its best-known competitor Linear Packing, Bit
    Grooming imposes no software overhead on users, and guarantees
    its precision throughout the whole floating point range
    [https://doi.org/10.5194/gmd-9-3199-2016].

The generic term "quantize" is used to refer collectively to the various precision-trimming algorithms. The key thing to note about quantization is that it occurs at the point of writing of data only. Since its output is legal data, it does not need to be "de-quantized" when the data is read. Because of this, quantization is not part of the standard filter mechanism and has a separate API.

The API for bit-groom is currently as follows.

int nc_def_var_quantize(int ncid, int varid, int quantize_mode, int nsd);
int nc_inq_var_quantize(int ncid, int varid, int *quantize_modep, int *nsdp);

The quantize_mode argument specifies the particular algorithm. Currently, three are supported: NC_QUANTIZE_BITGROOM, NC_QUANTIZE_GRANULARBR, and NC_QUANTIZE_BITROUND. In addition quantization can be disabled using the value NC_NOQUANTIZE.

The input to ncgen or the output from ncdump supports special attributes to indicate if quantization was applied to a given variable. These attributes have the following form.

_QuantizeBitGroomNumberOfSignificantDigits = <NSD>
or
_QuantizeGranularBitRoundNumberOfSignificantDigits = <NSD>
or
_QuantizeBitRoundNumberOfSignificantBits = <NSB>

The value NSD is the number of significant (decimal) digits to keep. The value NSB is the number of bits to keep in the fraction part of an IEEE754 floating-point number. Note that NSB of QuantizeBitRound is the same as "number of explicit mantissa bits" (https://doi.org/10.5194/gmd-9-3199-2016) and same as the number of "keep-bits" (https://doi.org/10.5194/gmd-14-377-2021), but is not one less than the number of significant bunary figures: _QuantizeBitRoundNumberOfSignificantBits = 0 means one significant binary figure, _QuantizeBitRoundNumberOfSignificantBits = 1 means two significant binary figures etc.

## Distortions introduced by lossy filters

Any lossy filter introduces distortions to data. The lossy filters implemented in netcdf-c introduce a distortoin that can be quantified in terms of a relative error. The magnitude of distortion introduced to every single value V is guaranteed to be within a certain fraction of V, expressed as 0.5 * V * 2**{-NSB}: i.e. it is 0.5V for NSB=0, 0.25V for NSB=1, 0.125V for NSB=2 etc.

Two other methods use different definitions of decimal precision, though both are guaranteed to reproduce NSD decimals when printed. The margin for a relative error introduced by the methods are summarised in the table

NSD 1 2 3 4 5 6 7
BitGroom
Error Margin 3.1e-2 3.9e-3 4.9e-4 3.1e-5 3.8e-6 4.7e-7 -
GranularBitRound
Error Margin 1.4e-1 1.9e-2 2.2e-3 1.4e-4 1.8e-5 2.2e-6 -

If one defines decimal precision as in BitGroom, i.e. the introduced relative error must not exceed half of the unit at the decimal place NSD in the worst-case scenario, the following values of NSB should be used for BitRound:

NSD 1 2 3 4 5 6 7
NSB 3 6 9 13 16 19 23

The resulting application of BitRound is as fast as BitGroom, and is free from artifacts in multipoint statistics introduced by BitGroom (see https://doi.org/10.5194/gmd-14-377-2021).

# Debugging

Depending on the debugger one uses, debugging plugins can be very difficult. It may be necessary to use the old printf approach for debugging the filter itself.

One case worth mentioning is when there is a dataset that is using an unknown filter. For this situation, you need to identify what filter(s) are used in the dataset. This can be accomplished using this command.

    ncdump -s -h <dataset filename>

Since ncdump is not being asked to access the data (the -h flag), it can obtain the filter information without failures. Then it can print out the filter id and the parameters as well as the Codecs (via the -s flag).

## Test Cases

Within the netcdf-c source tree, the directory two directories contain test cases for testing dynamic filter operation.

- netcdf-c/nc_test4 provides tests for testing HDF5 filters.
- netcdf-c/nczarr_test provides tests for testing NCZarr filters.

These tests are disabled if –disable-shared or if –disable-filter-tests is specified or if –disable-plugins is specified.

### HDF5 Example

A slightly simplified version of one of the HDF5 filter test cases is also available as an example within the netcdf-c source tree directory netcdf-c/examples/C. The test is called filter_example.c and it is executed as part of the run_examples4.sh shell script. The test case demonstrates dynamic filter writing and reading.

The files example/C/hdf5plugins/Makefile.am and example/C/hdf5plugins/CMakeLists.txt demonstrate how to build the hdf5 plugin for bzip2.

## Notes

### Order of Invocation for Multiple Filters

When multiple filters are defined on a variable, the order of application, when writing data to the file, is same as the order in which *nc_def_var_filter*is called. When reading a file the order of application is of necessity the reverse.

There are some special cases.

1. The fletcher32 filter is always applied first, if enabled.
2. If nc_def_var_filter*or *nc_def_var_deflate*or *nc_def_var_szip*is called multiple times with the same filter id, but possibly with different sets of parameters, then the position of that filter in the sequence of applications does not change. However the last set of parameters specified is used when actually writing the dataset.
3. Deflate and shuffle - these two are inextricably linked in the current API, but have quite different semantics. If you call *nc_def_var_deflate*multiple times, then the previous rule applies with respect to deflate. However, the shuffle filter, if enabled, is *always applied before applying any other filters, except fletcher32.
4. Once a filter is defined for a variable, it cannot be removed nor can its position in the filter order be changed.

### Memory Allocation Issues

Starting with HDF5 version 1.10.*, the plugin code MUST be careful when using the standard malloc(), realloc(), and free() function.

In the event that the code is allocating, reallocating, for free'ing memory that either came from or will be exported to the calling HDF5 library, then one MUST use the corresponding HDF5 functions H5allocate_memory(), H5resize_memory(), H5free_memory() [5] to avoid memory failures.

Additionally, if your filter code leaks memory, then the HDF5 library generates a failure something like this.

H5MM.c:232: H5MM_final_sanity_check: Assertion `0 == H5MM_curr_alloc_bytes_s' failed.

One can look at the the code in plugins/H5Zbzip2.c and H5Zmisc.c as illustrations.

### SZIP Issues

The current szip plugin code in the HDF5 library has some behaviors that can catch the unwary. These are handled internally to (mostly) hide them so that they should not affect users. Specifically, this filter may do two things.

1. Add extra parameters to the filter parameters: going from the two parameters provided by the user to four parameters for internal use. It turns out that the two parameters provided when calling nc_def_var_filter correspond to the first two parameters of the four parameters returned by nc_inq_var_filter.
2. Change the values of some parameters: the value of the options_mask argument is known to add additional flag bits, and the pixels_per_block parameter may be modified.

The reason for these changes is has to do with the fact that the szip API provided by the underlying H5Pset_szip function is actually a subset of the capabilities of the real szip implementation. Presumably this is for historical reasons.

In any case, if the caller uses the nc_inq_var_szip or the nc_inq_var_filter functions, then the parameter values returned may differ from those originally specified.

It should also be noted that the HDF5 szip filter wrapper that is invoked depends on the configuration of the netcdf-c library. If the HDF5 installation supports szip, then the NCZarr szip will use the HDF5 wrapper. If HDF5 does not support szip, or HDF5 is not enabled, then the plugins directory will contain a local HDF5 szip wrapper to be used by NCZarr. This can be confusing, but is generally transparent to the use since the plugins HDF5 szip wrapper was taken from the HDF5 code base.

### Supported Systems

The current matrix of OS X build systems known to work is as follows.

Build System | Supported OS
--- | ---
Automake | Linux, Cygwin, OSX
Cmake | Linux, Cygwin, OSX, Visual Studio

### Generic Plugin Build

If you do not want to use Automake or Cmake, the following has been known to work.

    gcc -g -O0 -shared -o libbzip2.so <plugin source files>  -L${HDF5LIBDIR} -lhdf5\_hl -lhdf5 -L${ZLIBDIR} -lz

## References

1. [https://support.hdfgroup.org/HDF5/doc/Advanced/DynamicallyLoadedFilters/HDF5DynamicallyLoadedFilters.pdf]()
2. [https://support.hdfgroup.org/HDF5/doc/TechNotes/TechNote-HDF5-CompressionTroubleshooting.pdf]() 3.[ https://portal.hdfgroup.org/display/support/Registered+Filter+Plugins]()
3. [https://support.hdfgroup.org/services/contributions.html#filters]()
4. [https://support.hdfgroup.org/HDF5/doc/RM/RM_H5.html]()
5. [https://confluence.hdfgroup.org/display/HDF5/Filters ]()
6. [https://numcodecs.readthedocs.io/en/stable/]()
7. [https://github.com/ccr/ccr]()
8. [https://escholarship.org/uc/item/7xd1739k]()

## Appendix A. HDF5 Parameter Encode/Decode

The filter id for an HDF5 format filter is an unsigned integer. Further, the parameters passed to an HDF5 format filter are encoded internally as a vector of 32-bit unsigned integers. It may be that the parameters required by a filter can naturally be encoded as unsigned integers. The bzip2 compression filter, for example, expects a single integer value from zero thru nine. This encodes naturally as a single unsigned integer.

Note that signed integers and single-precision (32-bit) float values also can easily be represented as 32 bit unsigned integers by proper casting to an unsigned integer so that the bit pattern is preserved. Simple signed integer values of type short or char can also be mapped to an unsigned integer by truncating to 16 or 8 bits respectively and then sign extending. Similarly, unsigned 8 and 16 bit values can be used with zero extensions.

Machine byte order (aka endian-ness) is an issue for passing some kinds of parameters. You might define the parameters when compressing on a little endian machine, but later do the decompression on a big endian machine.

When using HDF5 format filters, byte order is not an issue for 32-bit values because HDF5 takes care of converting them between the local machine byte order and network byte order.

Parameters whose size is larger than 32-bits present a byte order problem. This specifically includes double precision floats and (signed or unsigned) 64-bit integers. For these cases, the machine byte order issue must be handled, in part, by the compression code. This is because HDF5 will treat, for example, an unsigned long long as two 32-bit unsigned integers and will convert each to network order separately. This means that on a machine whose byte order is different than the machine in which the parameters were initially created, the two integers will be separately endian converted. But this will be incorrect for 64-bit values.

So, we have this situation (for HDF5 only):

1. the 8 bytes start as native machine order for the machine doing the call to nc_def_var_filter.
2. The caller divides the 8 bytes into 2 four byte pieces and passes them to nc_def_var_filter.
3. HDF5 takes each four byte piece and ensures that each piece is in network (big) endian order.
4. When the filter is called, the two pieces are returned in the same order but with the bytes in each piece consistent with the native machine order for the machine executing the filter.

### Encoding Algorithms for HDF5

In order to properly extract the correct 8-byte value, we need to ensure that the values stored in the HDF5 file have a known format independent of the native format of the creating machine.

The idea is to do sufficient manipulation so that HDF5 will store the 8-byte value as a little endian value divided into two 4-byte integers. Note that little-endian is used as the standard because it is the most common machine format. When read, the filter code needs to be aware of this convention and do the appropriate conversions.

This leads to the following set of rules.

#### Encoding

1. Encode on little endian (LE) machine: no special action is required. The 8-byte value is passed to HDF5 as two 4-byte integers. HDF5 byte swaps each integer and stores it in the file.
2. Encode on a big endian (BE) machine: several steps are required:
   1. Do an 8-byte byte swap to convert the original value to little-endian format.
   2. Since the encoding machine is BE, HDF5 will just store the value. So it is necessary to simulate little endian encoding by byte-swapping each 4-byte integer separately.
   3. This doubly swapped pair of integers is then passed to HDF5 and is stored unchanged.

#### Decoding

1. Decode on LE machine: no special action is required. HDF5 will get the two 4-bytes values from the file and byte-swap each separately. The concatenation of those two integers will be the expected LE value.
2. Decode on a big endian (BE) machine: the inverse of the encode case must be implemented.
   1. HDF5 sends the two 4-byte values to the filter.
   2. The filter must then byte-swap each 4-byte value independently.
   3. The filter then must concatenate the two 4-byte values into a single 8-byte value. Because of the encoding rules, this 8-byte value will be in LE format.
   4. The filter must finally do an 8-byte byte-swap on that 8-byte value to convert it to desired BE format.

To support these rules, some utility programs exist and are discussed in Appendix B.

## Appendix B. Support Utilities

Several functions are exported from the netcdf-c library for use by client programs and by filter implementations. They are defined in the header file netcdf_aux.h. The h5 tag indicates that they assume that the result of the parse is a set of unsigned integers - the format used by HDF5.

1. int ncaux_h5filterspec_parse(const char txt, unsigned int* idp. size_t* nparamsp, unsigned int** paramsp);*
   - txt contains the text of a sequence of comma separated constants
   - idp will contain the first constant - the filter id
   - nparamsp will contain the number of params
   - paramsp will contain a vector of params - the caller must free This function can parse single filter spec strings as defined in the section on Filter Specification Syntax.
2. int ncaux_h5filterspec_parselist(const char txt, int* formatp, size_t* nspecsp, struct NC_H5_Filterspec*** vectorp);*
   - txt contains the text of a sequence '|' separated filter specs.
   - formatp currently always returns 0.
   - nspecsp will return the number of filter specifications.
   - vectorp will return a pointer to a vector of pointers to filter specification instances - the caller must free. This function parses a sequence of filter specifications each separated by a '|' character. The text between '|' separators must be parsable by ncaux_h5filterspec_parse.
3. void ncaux_h5filterspec_free(struct NC_H5_Filterspec f);*
   - f is a pointer to an instance of struct NC_H5_Filterspec Typically this was returned as an element of the vector returned by *_ncaux_h5filterspec_parselist*.
     This reclaims the parameters of the filter spec object as well as the object itself.
4. int ncaux_h5filterspec_fix8(unsigned char mem8, int decode);*
   - mem8 is a pointer to the 8-byte value either to fix.
   - decode is 1 if the function should apply the 8-byte decoding algorithm else apply the encoding algorithm. This function implements the 8-byte conversion algorithms for HDF5. Before calling nc_def_var_filter (unless NC_parsefilterspec was used), the client must call this function with the decode argument set to 0. Inside the filter code, this function should be called with the decode argument set to 1.

Examples of the use of these functions can be seen in the test program nc_test4/tst_filterparser.c.

Some of the above functions use a C struct defined in *netcdf_filter.h_. The definition of that struct is as follows.

typedef struct NC_H5_Filterspec {
unsigned int filterid; /* ID for arbitrary filter. */
size_t nparams; /* nparams for arbitrary filter. */
unsigned int* params; /* Params for arbitrary filter. */
} NC_H5_Filterspec;

This struct in effect encapsulates all of the information about and HDF5 formatted filter - the id, the number of parameters, and the parameters themselves.

## Appendix C. Build Flags for Detecting the Filter Mechanism

The include file netcdf_meta.h contains the following definition.

#define NC_HAS_MULTIFILTERS 1

This, in conjunction with the error code NC_ENOFILTER in netcdf.h can be used to see what filter mechanism is in place as described in the section on incompatibities.

1. !defined(NC_ENOFILTER) && !defined(NC_HAS_MULTIFILTERS) - indicates that the old pre-4.7.4 mechanism is in place. It does not support multiple filters.
2. defined(NC_ENOFILTER) && !defined(NC_HAS_MULTIFILTERS) - indicates that the 4.7.4 mechanism is in place. It does support multiple filters, but the error return codes for nc_inq_var_filter are different and the filter spec parser functions are in a different location with different names.
3. defined(NC_ENOFILTER) && defined(NC_HAS_MULTIFILTERS) - indicates that the multiple filters are supported, and that nc_inq_var_filter returns a filterid of zero to indicate that a variable has no filters. Also, the filter spec parsers have the names and signatures described in this document and are define in netcdf_aux.h.

## Appendix D. BNF for Specifying Filters in Utilities

speclist: spec
| speclist '|' spec
;
spec: filterid
| filterid ',' parameterlist
;
filterid: unsigned32
;
parameterlist: parameter
| parameterlist ',' parameter
;
parameter: unsigned32
where
unsigned32: <32 bit unsigned integer>

## Appendix E. Codec API

The Codec API mirrors the HDF5 API closely. It has one well-known function that can be invoked to obtain information about the Codec as well as pointers to special functions to perform conversions.

### The Codec Plugin API

#### NCZ_get_codec_info

This function returns a pointer to a C struct that provides detailed information about the codec plugin.

##### Signature

void* NCZ_get_codec_info(void);

The value returned is actually of type struct NCZ_codec_t, but is of type void* to allow for extensions.

#### NCZ_codec_t

typedef struct NCZ_codec_t {
int version; /* Version number of the struct */
int sort; /* Format of remainder of the struct;
Currently always NCZ_CODEC_HDF5 */
const char* codecid; /* The name/id of the codec */
unsigned int hdf5id; /* corresponding hdf5 id */
void (*NCZ_codec_initialize)(void);
void (*NCZ_codec_finalize)(void);
int (*NCZ_codec_to_hdf5)(const char* codec, int* nparamsp, unsigned** paramsp);
int (*NCZ_hdf5_to_codec)(size_t nparams, const unsigned* params, char** codecp);
int (*NCZ_modify_parameters)(int ncid, int varid, size_t* vnparamsp, unsigned** vparamsp, size_t* nparamsp, unsigned** paramsp);
} NCZ_codec_t;

The semantics of the non-function fields is as follows:

1. version - Version number of the struct.
2. sort - Format of remainder of the struct; currently always NCZ_CODEC_HDF5.
3. codecid - The name/id of the codec.
4. hdf5id - The corresponding hdf5 id.

#### NCZ_codec_to_hdf5

Given a JSON Codec representation, it will return a corresponding vector of unsigned integers representing the visible parameters.

##### Signature

int NCZ_codec_to_hdf(const char* codec, int* nparamsp, unsigned** paramsp);

##### Arguments

1. codec - (in) ptr to JSON string representing the codec.
2. nparamsp - (out) store the length of the converted HDF5 unsigned vector
3. paramsp - (out) store a pointer to the converted HDF5 unsigned vector; caller must free the returned vector. Note the double indirection.

Return Value: a netcdf-c error code.

#### NCZ_hdf5_to_codec

Given an HDF5 visible parameters vector of unsigned integers and its length, return a corresponding JSON codec representation of those visible parameters.

##### Signature

int NCZ_hdf5_to_codec)(int ncid, int varid, size_t nparams, const unsigned* params, char** codecp);

##### Arguments

1. ncid - the variables' containing group
2. varid - the containing variable
3. nparams - (in) the length of the HDF5 visible parameters vector
4. params - (in) pointer to the HDF5 visible parameters vector.
5. codecp - (out) store the string representation of the codec; caller must free.

Return Value: a netcdf-c error code.

#### NCZ_modify_parameters

Extract environment information from the (ncid,varid) and use it to convert a set of visible parameters to a set of working parameters; also provide option to modify visible parameters.

##### Signature

int NCZ_modify_parameters(int ncid, int varid, size_t* vnparamsp, unsigned** vparamsp, size_t* wnparamsp, unsigned** wparamsp);

##### Arguments

1. ncid - (in) group id containing the variable.
2. varid - (in) the id of the variable to which this filter is being attached.
3. vnparamsp - (in/out) the count of visible parameters
4. vparamsp - (in/out) the set of visible parameters
5. wnparamsp - (out) the count of working parameters

1. wparamsp - (out) the set of working parameters

Return Value: a netcdf-c error code.

#### NCZ_codec_initialize

Some compressors may require library initialization. This function is called as soon as a shared library is loaded and matched with an HDF5 filter.

##### Signature

int NCZ_codec_initialize)(void);

Return Value: a netcdf-c error code.

#### NCZ_codec_finalize

Some compressors (like blosc) require invoking a finalize function in order to avoid memory loss. This function is called during a call to nc_finalize to do any finalization. If the client code does not invoke nc_finalize then memory checkers may complain about lost memory.

##### Signature

int NCZ_codec_finalize)(void);

Return Value: a netcdf-c error code.

### Multi-Codec API

As an aid to clients, it is convenient if a single shared library can provide multiple NCZ_code_t instances at one time. This API is not intended to be used by plugin developers. A shared library must only export this function.

#### NCZ_codec_info_defaults

Return a NULL terminated vector of pointers to instances of NCZ_codec_t.

##### Signature

void* NCZ_codec_info_defaults(void);

The value returned is actually of type *NCZ_codec_t***, but is of type *void** to allow for extensions. The list of returned items are used to try to provide defaults for any HDF5 filters that have no corresponding Codec. This is for internal use only.

## Appendix F. Standard Filters

Support for a select set of standard filters is built into the NetCDF API. Generally, they are accessed using the following generic API, where XXXX is the filter name. As a rule, the names are those used in the HDF5 filter ID naming authority [4] or the NumCodecs naming authority [7].

int nc_def_var_XXXX(int ncid, int varid, unsigned filterid, size_t nparams, unsigned* params);
int nc_inq_var_XXXX(int ncid, int varid, int* hasfilter, size_t* nparamsp, unsigned* params);

The first function inserts the specified filter into the filter chain for a given variable. The second function queries the given variable to see if the specified function is in the filter chain for that variable. The hasfilter argument is set to one if the filter is in the chain and zero otherwise. As is usual with the netcdf API, one is expected to call this function twice. The first time to set nparamsp and the second to get the parameters in the client-allocated memory argument params. Any of these arguments can be NULL, in which case no value is returned.

Note that NetCDF inherits four filters from HDF5, namely shuffle, fletcher32, deflate (zlib), and szip. The API's for these do not conform to the above API. So aside from those four, the current set of standard filters is as follows.

Filter Name | Filter ID | Reference
--- | --- | ---
zstandard | 32015 | https://facebook.github.io/zstd/
bzip2 | 307 | https://sourceware.org/bzip2/

It is important to note that in order to use each standard filter, several additional libraries must be installed. Consider the zstandard compressor, which is one of the supported standard filters. When installing the netcdf library, the following other libraries must be installed.

1. libzstd.so | zstd.dll | libzstd.dylib – The actual zstandard compressor library; typically installed by using your platform specific package manager.
2. The HDF5 wrapper for libzstd.so – There are several options for obtaining this (see Appendix G.)
3. (Optional) The Zarr wrapper for libzstd.so – you need this if you intend to read/write Zarr datasets that were compressed using zstandard; again see Appendix G.

## Appendix G. Finding Filter Implementations

A major problem for filter users is finding an implementation of an HDF5 filter wrapper and (optionally) its corresponding NCZarr wrapper. There are several ways to do this.

- –with-plugin-dir - An option to ./configure that will install the necessary wrappers. See Appendix H.
- HDF5 Assigned Filter Identifiers Repository [3] - HDF5 maintains a page of standard filter identifiers along with additional contact information. This often includes a pointer to source code. This will provide only HDF5 wrappers and not NCZarr wrappers.
- Community Codec Repository - The Community Codec Repository (CCR) project [8] provides filters, including HDF5 wrappers, for a number of filters. It does not as yet provide Zarr wrappers. You can install this library to get access to these supported filters. It does not currently include the required NCZarr Codec API, so they are only usable with netcdf-4. This will change in the future.

## Appendix H. Auto-Install of Filter Wrappers

As part of the overall build process, a number of filter wrappers are built as shared libraries in the "plugins" directory. These wrappers can be installed as part of the overall netcdf-c installation process. WARNING: the installer still needs to make sure that the actual filter/compression libraries are installed: e.g. libzstd and/or libblosc. See the document pluginpaths.md for details on the installation process. If NCZarr is enabled, then in addition to wrappers for the standard filters, additional libraries will be installed to support NCZarr access to filters. Currently, this list includes the following:

- shuffle - shuffle filter
- fletcher32 - fletcher32 checksum
- deflate - deflate compression
- (optional) szip - szip compression, if libsz is available
- bzip2 - an HDF5 filter for bzip2 compression
- lib__nczh5filters.so - provide NCZarr support for shuffle, fletcher32, deflate, and (optionally) szip.
- lib__nczstdfilters.so - provide NCZarr support for bzip2, (optionally)zstandard, and (optionally) blosc.

The shuffle, fletcher32, and deflate filters in this case will be ignored by HDF5 and only used by the NCZarr code. But in order to use them, it needs additional Codec capabilities provided by the lib__nczh5filters.so shared library. Note also that if you disable HDF5 support, but leave NCZarr support enabled, then all of the above filters should continue to work.

## Appendix I. A Warning on Backward Compatibility

The API defined in this document should accurately reflect the current state of filters in the netCDF-c library. Be aware that there was a short period in which the filter code was undergoing some revision and extension. Those extensions have largely been reverted. Unfortunately, some users may experience some compilation problems for previously working code because of these reversions. In that case, please revise your code to adhere to this document. Apologies are extended for any inconvenience.

A user may encounter an incompatibility if any of the following appears in user code.

- The function nc_inq_var_filter was returning the error value NC_ENOFILTER if a variable had no associated filters. It has been reverted to the previous case where it returns NC_NOERR and the returned filter id was set to zero if the variable had no filters.
- The function nc_inq_var_filterids was renamed to nc_inq_var_filter_ids.
- Some auxiliary functions for parsing textual filter specifications have been moved to the file netcdf_aux.h. See Appendix A.
- All of the "filterx" functions have been removed. This is unlikely to cause problems because they had limited visibility.

For additional information, see Appendix B.

## History

Author: Dennis Heimbigner
Email: denni.nosp@m.s.he.nosp@m.imbig.nosp@m.ner@.nosp@m.gmail.nosp@m..com
Initial Version: 1/10/2018
Last Revised: 5/18/2022