re: Discussion https://github.com/Unidata/netcdf-c/discussions/2214
The primary change is to support so-called "standard filters".
A standard filter is one that is defined by the following
netcdf-c API:
````
int nc_def_var_XXX(int ncid, int varid, size_t nparams, unsigned* params);
int nc_inq_var_XXXX(int ncid, int varid, int* usefilterp, unsigned* params);
````
So for example, zstandard would be a standard filter by defining
the functions *nc_def_var_zstandard* and *nc_inq_var_zstandard*.
In order to define these functions, we need a new dispatch function:
````
int nc_inq_filter_avail(int ncid, unsigned filterid);
````
This function, combined with the existing filter API can be used
to implement arbitrary standard filters using a simple code pattern.
Note that I would have preferred that this function return a list
of all available filters, but HDF5 does not support that functionality.
So this PR implements the dispatch function and implements
the following standard functions:
+ bzip2
+ zstandard
+ blosc
Specific test cases are also provided for HDF5 and NCZarr.
Over time, other specific standard filters will be defined.
## Primary Changes
* Add nc_inq_filter_avail() to netcdf-c API.
* Add standard filter implementations to test use of *nc_inq_filter_avail*.
* Bump the dispatch table version number and add to all the relevant
dispatch tables (libsrc, libsrcp, etc).
* Create a program to invoke nc_inq_filter_avail so that it is accessible
to shell scripts.
* Cleanup szip support to properly support szip
when HDF5 is disabled. This involves detecting
libsz separately from testing if HDF5 supports szip.
* Integrate shuffle and fletcher32 into the existing
filter API. This means that, for example, nc_def_var_fletcher32
is now a wrapper around nc_def_var_filter.
* Extend the Codec defaulting to allow multiple default shared libraries.
## Misc. Changes
* Modify configure.ac/CMakeLists.txt to look for the relevant
libraries implementing standard filters.
* Modify libnetcdf.settings to list available standard filters
(including deflate and szip).
* Add CMake test modules to locate libbz2 and libzstd.
* Cleanup the HDF5 memory manager function use in the plugins.
* remove unused file include//ncfilter.h
* remove tests for the HDF5 memory operations e.g. H5allocate_memory.
* Add flag to ncdump to force use of _Filter instead of _Deflate
or _Shuffle or _Fletcher32. Used for testing.
re: https://github.com/Unidata/netcdf-c/issues/2177
re: https://github.com/Unidata/netcdf-c/pull/2178
Provide get/set functions to store global data alignment
information and apply it when a file is created.
The api is as follows:
````
int nc_set_alignment(int threshold, int alignment);
int nc_get_alignment(int* thresholdp, int* alignmentp);
````
If defined, then for every file created opened after the call to
nc_set_alignment, for every new variable added to the file, the
most recently set threshold and alignment values will be applied
to that variable.
The nc_get_alignment function return the last values set by
nc_set_alignment. If nc_set_alignment has not been called, then
it returns the value 0 for both threshold and alignment.
The alignment parameters are stored in the NCglobalstate object
(see below) for use as needed. Repeated calls to nc_set_alignment
will overwrite any existing values in NCglobalstate.
The alignment parameters are applied in libhdf5/hdf5create.c
and libhdf5/hdf5open.c
The set/get alignment functions are defined in libsrc4/nc4internal.c.
A test program was added as nc_test4/tst_alignment.c.
## Misc. Changes Unrelated to Alignment
* The NCRCglobalstate type was renamed to NCglobalstate to
indicate that it represented more general global state than
just .rc data. It was also moved to nc4internal.h. This led
to a large number of small changes: mostly renaming. The
global state management functions were moved to nc4internal.c.
* The global chunk cache variables have been moved into
NCglobalstate. As warranted, other global state will be moved
as well.
* Some misc. problems with the nczarr performance tests were corrected.
re: PR https://github.com/Unidata/netcdf-c/pull/2088
re: PR https://github.com/Unidata/netcdf-c/pull/2130
replaces: https://github.com/Unidata/netcdf-c/pull/2140
Changes:
* Add NCZarr-specific quantize functions to the dispatch table.
* Copy (modified) quantize code from libhdf5 to NCZarr
* Add quantize invocation to zvar.c
* Add support for _QuantizeBitgroomNumberOfSignificantDigits
and _QuantizeGranularBitgroomNumberOfSignificantDigits to ncgen.
* Modify nc_test4/tst_quantize.c to allow it to be used both for hdf5
and for nczarr.
* Make dap4 properly handle quantize functions in dispatch table.
* Add quantize attribute support to ncgen.
Other changes:
* Caught and fixed some S3 problems
* Fixed some nczarr fillvalue problems.
* Fixed some nczarr cache problems.
* Cleanup some flaws in libdispatch/dinfermodel.c
* Allow byterange requests to S3 be readable by dinfermodel.c/check_file_type
* Remove the libnczarr ztracedispatch code (big change).
re: https://github.com/Unidata/netcdf-c/issues/541
re: https://github.com/Unidata/netcdf-c/issues/1208
re: https://github.com/Unidata/netcdf-c/issues/2078
re: https://github.com/Unidata/netcdf-c/issues/2041
re: https://github.com/Unidata/netcdf-c/issues/2143
For a long time, there have been known problems with the
management of complex types containing VLENs. This also
involves the string type because it is stored as a VLEN of
chars.
This PR (mostly) fixes this problem. But note that it adds new
functions to netcdf.h (see below) and this may require bumping
the .so number. These new functions can be removed, if desired,
in favor of functions in netcdf_aux.h, but netcdf.h seems the
better place for them because they are intended as alternatives
to the nc_free_vlen and nc_free_string functions already in
netcdf.h.
The term complex type refers to any type that directly or
transitively references a VLEN type. So an array of VLENS, a
compound with a VLEN field, and so on.
In order to properly handle instances of these complex types, it
is necessary to have function that can recursively walk
instances of such types to perform various actions on them. The
term "deep" is also used to mean recursive.
At the moment, the two operations needed by the netcdf library are:
* free'ing an instance of the complex type
* copying an instance of the complex type.
The current library does only shallow free and shallow copy of
complex types. This means that only the top level is properly
free'd or copied, but deep internal blocks in the instance are
not touched.
Note that the term "vector" will be used to mean a contiguous (in
memory) sequence of instances of some type. Given an array with,
say, dimensions 2 X 3 X 4, this will be stored in memory as a
vector of length 2*3*4=24 instances.
The use cases are primarily these.
## nc_get_vars
Suppose one is reading a vector of instances using nc_get_vars
(or nc_get_vara or nc_get_var, etc.). These functions will
return the vector in the top-level memory provided. All
interior blocks (form nested VLEN or strings) will have been
dynamically allocated.
After using this vector of instances, it is necessary to free
(aka reclaim) the dynamically allocated memory, otherwise a
memory leak occurs. So, the recursive reclaim function is used
to walk the returned instance vector and do a deep reclaim of
the data.
Currently functions are defined in netcdf.h that are supposed to
handle this: nc_free_vlen(), nc_free_vlens(), and
nc_free_string(). Unfortunately, these functions only do a
shallow free, so deeply nested instances are not properly
handled by them.
Note that internally, the provided data is immediately written so
there is no need to copy it. But the caller may need to reclaim the
data it passed into the function.
## nc_put_att
Suppose one is writing a vector of instances as the data of an attribute
using, say, nc_put_att.
Internally, the incoming attribute data must be copied and stored
so that changes/reclamation of the input data will not affect
the attribute.
Again, the code inside the netcdf library does only shallow copying
rather than deep copy. As a result, one sees effects such as described
in Github Issue https://github.com/Unidata/netcdf-c/issues/2143.
Also, after defining the attribute, it may be necessary for the user
to free the data that was provided as input to nc_put_att().
## nc_get_att
Suppose one is reading a vector of instances as the data of an attribute
using, say, nc_get_att.
Internally, the existing attribute data must be copied and returned
to the caller, and the caller is responsible for reclaiming
the returned data.
Again, the code inside the netcdf library does only shallow copying
rather than deep copy. So this can lead to memory leaks and errors
because the deep data is shared between the library and the user.
# Solution
The solution is to build properly recursive reclaim and copy
functions and use those as needed.
These recursive functions are defined in libdispatch/dinstance.c
and their signatures are defined in include/netcdf.h.
For back compatibility, corresponding "ncaux_XXX" functions
are defined in include/netcdf_aux.h.
````
int nc_reclaim_data(int ncid, nc_type xtypeid, void* memory, size_t count);
int nc_reclaim_data_all(int ncid, nc_type xtypeid, void* memory, size_t count);
int nc_copy_data(int ncid, nc_type xtypeid, const void* memory, size_t count, void* copy);
int nc_copy_data_all(int ncid, nc_type xtypeid, const void* memory, size_t count, void** copyp);
````
There are two variants. The first two, nc_reclaim_data() and
nc_copy_data(), assume the top-level vector is managed by the
caller. For reclaim, this is so the user can use, for example, a
statically allocated vector. For copy, it assumes the user
provides the space into which the copy is stored.
The second two, nc_reclaim_data_all() and
nc_copy_data_all(), allows the functions to manage the
top-level. So for nc_reclaim_data_all, the top level is
assumed to be dynamically allocated and will be free'd by
nc_reclaim_data_all(). The nc_copy_data_all() function
will allocate the top level and return a pointer to it to the
user. The user can later pass that pointer to
nc_reclaim_data_all() to reclaim the instance(s).
# Internal Changes
The netcdf-c library internals are changed to use the proper
reclaim and copy functions. It turns out that the places where
these functions are needed is quite pervasive in the netcdf-c
library code. Using these functions also allows some
simplification of the code since the stdata and vldata fields of
NC_ATT_INFO are no longer needed. Currently this is commented
out using the SEPDATA \#define macro. When any bugs are largely
fixed, all this code will be removed.
# Known Bugs
1. There is still one known failure that has not been solved.
All the failures revolve around some variant of this .cdl file.
The proximate cause of failure is the use of a VLEN FillValue.
````
netcdf x {
types:
float(*) row_of_floats ;
dimensions:
m = 5 ;
variables:
row_of_floats ragged_array(m) ;
row_of_floats ragged_array:_FillValue = {-999} ;
data:
ragged_array = {10, 11, 12, 13, 14}, {20, 21, 22, 23}, {30, 31, 32},
{40, 41}, _ ;
}
````
When a solution is found, I will either add it to this PR or post a new PR.
# Related Changes
* Mark nc_free_vlen(s) as deprecated in favor of ncaux_reclaim_data.
* Remove the --enable-unfixed-memory-leaks option.
* Remove the NC_VLENS_NOTEST code that suppresses some vlen tests.
* Document this change in docs/internal.md
* Disable the tst_vlen_data test in ncdump/tst_nccopy4.sh.
* Mark types as fixed size or not (transitively) to optimize the reclaim
and copy functions.
# Misc. Changes
* Make Doxygen process libdispatch/daux.c
* Make sure the NC_ATT_INFO_T.container field is set.
Filter support has three goals:
1. Use the existing HDF5 filter implementations,
2. Allow filter metadata to be stored in the NumCodecs metadata format used by Zarr,
3. Allow filters to be used even when HDF5 is disabled
Detailed usage directions are define in docs/filters.md.
For now, the existing filter API is left in place. So filters
are defined using ''nc_def_var_filter'' using the HDF5 style
where the id and parameters are unsigned integers.
This is a big change since filters affect many parts of the code.
In the following, the terms "compressor" and "filter" and "codec" are generally
used synonomously.
### Filter-Related Changes:
* In order to support dynamic loading of shared filter libraries, a new library was added in the libncpoco directory; it helps to isolate dynamic loading across multiple platforms.
* Provide a json parsing library for use by plugins; this is created by merging libdispatch/ncjson.c with include/ncjson.h.
* Add a new _Codecs attribute to allow clients to see what codecs are being used; let ncdump -s print it out.
* Provide special headers to help support compilation of HDF5 filters when HDF5 is not enabled: netcdf_filter_hdf5_build.h and netcdf_filter_build.h.
* Add a number of new test to test the new nczarr filters.
* Let ncgen parse _Codecs attribute, although it is ignored.
### Plugin directory changes:
* Add support for the Blosc compressor; this is essential because it is the most common compressor used in Zarr datasets. This also necessitated adding a CMake FindBlosc.cmake file
* Add NCZarr support for the big-four filters provided by HDF5: shuffle, fletcher32, deflate (zlib), and szip
* Add a Codec defaulter (see docs/filters.md) for the big four filters.
* Make plugins work with windows by properly adding __declspec declaration.
### Misc. Non-Filter Changes
* Replace most uses of USE_NETCDF4 (deprecated) with USE_HDF5.
* Improve support for caching
* More fixes for path conversion code
* Fix misc. memory leaks
* Add new utility -- ncdump/ncpathcvt -- that does more or less the same thing as cygpath.
* Add a number of new test to test the non-filter fixes.
* Update the parsers
* Convert most instances of '#ifdef _MSC_VER' to '#ifdef _WIN32'
re: Issue https://github.com/Unidata/netcdf-c/issues/2096
The methods nc_set_var_chunk_cache_ints and nc_def_var_chunking_ints
are Fortran entry points for accessing the cache. They are not defined
if netcdf-c is built with --disable-hdf5.
Fix is to create dummy versions that do nothing and return NC_NOERR
when invoked. These dummy versions are defined when USE_HDF5 is false.
re: https://github.com/zarr-developers/zarr-specs/issues/41
After discussions with the Zarr community, it was decided to
convert to a new representation of the NCZarr meta-data extensions: version 2.
These extensions store information necessary to mapping the Zarr data model
to the netcdf-4 data model.
The basic change is to remove the NCZarr specific objects: .nczarr, .nczgroup, .nczarray, and .nczattr.
The contents of these objects is moved into the corresponding existing Zarr objects as special keys. The mapping is as follows:
* ''.nczarr'' => ''/.zgroup/_NCZARR_SUPERBLOCK_''
* ''.nczgroup => ''.zgroup/_NCZARR_GROUP_''
* ''.nczarray => ''.zarray/_NCZARR_ARRAY_''
* ''.nczattr => ''.zattr/_NCZARR_ATTR_''
Backward compatibility is maintained by looking for the object ''/.nczarr''
and if found, then assuming that the dataset is in the older version 1 format.
This compatibility only supports reading of such version 1 datasets.
Documentation and test cases are also added.
Misc. Other Changes:
1. The json parsing code was added to the general library instead of nczarr only (ncjson.c, ncjson.h).
2. Improved support for different platform paths by allowing conversion
to a single common path representation.
3. Add some new error codes.
4. Modify nccopy usage to mention the new chunking specification.
This is a follow-on to pull request
````https://github.com/Unidata/netcdf-c/pull/1959````,
which fixed up type scoping.
The primary changes are to _nc\_inq\_dimid()_ and to ncdump.
The _nc\_inq\_dimid()_ function is supposed to allow the name to be
and FQN, but this apparently never got implemented. So if was modified
to support FQNs.
The ncdump program is supposed to output fully qualified dimension names
in its generated CDL file under certain conditions.
Suppose ncdump has a netcdf-4 file F with variable V, and V's parent group
is G. For each dimension id D referenced by V, ncdump needs to determine
whether to print its name as a simple name or as a fully qualified name (FQN).
The algorithm is as follows:
1. Search up the tree of ancestor groups.
2. If one of those ancestor groups contains the dimid, then call it dimgrp.
3. If one of those ancestor groups contains a dim with the same name as the dimid, but with a different dimid, then record that as duplicate=true.
4. If dimgrp is defined and duplicate == false, then we do not need an fqn.
5. If dimgrp is defined and duplicate == true, then we do need an fqn to avoid incorrectly using the duplicate.
6. If dimgrp is undefined, then do a preorder breadth-first search of all the groups looking for the dimid.
7. If found, then use the fqn of the first found such dimension location.
8. If not found, then fail.
Test case ncdump/test_scope.sh was modified to test the proper
operation of ncdump and _nc\_inq\_dimid()_.
Misc. Other Changes:
* Fix nc_inq_ncid (NC4_inq_ncid actually) to return root group id if the name argument is NULL.
* Modify _ncdump/printfqn_ to print out a dimid FQN; this supports verification that the resulting .nc files were properly created.
re: Github issue https://github.com/Unidata/netcdf-c/issues/1956
The function NC_compare_nc_types in libdispatch/dcopy.c uses an
incorrect algorithm to search for types. The core of this is the
function NC_rec_find_nc_type in libdispatch/dcopy.c. Currently
it searchs the current group and its subtree.
Additionally, the function NC4_inq_typeid in libsrc4/nc4internal.c
has been extended to handle fully qualified names. It was originally
designed to do this, but for some reason never completed.
The NC_rec_find_nc_type algorithm has been altered to match the
algorithm used by NC4_inq_typeid. It operates as follows.
Given a file F, group G and a type T. It searches file F2, group
G2, for another type T2 that is equivalent to T.
The search order is as follows.
1. Search G2 for a type T2 equivalent to T.
2. Search upwards in the ancestor groups of G2 for a type T2 equivalent to T.
3. Search the complete group tree of F2 in pre-order, breadth-first order to locate T2 equivalent to T.
Also add a test case to validate algorithm: ncdump/test_scope.sh.
Note, this change may cause compatibility problems, though it is
unlikely because two different equivalent type declarations in
one dataset is unlikely.
The XArray implementation that uses Zarr for storage
provides a mechanism to simulate named dimensions.
It does this by adding a per-variable attribute called
_ARRAY_DIMENSIONS. This attribute contains a list of names
to be matched against the shape values of the variable.
In effect a named dimension is created with the name
_ARRAY_DIMENSIONS(i) and length shape(i) for all i
in range 0..rank(variable).
Both read and write support is provided.
This XArray support is only invoked if the mode value
of "xarray" is defined. So for example, as in this URL.
````
https://s3.us-west-1.amazonaws.com/bucket/dataset#mode=nczarr,xarray,s3
````
Note that the "xarray" mode flag also implies mode flag "zarr", so the above
is equivalent to this URL.
````
https://s3.us-west-1.amazonaws.com/bucket/dataset#mode=nczarr,zarr,xarray,s3
````
The primary change to implement this was to unify the handling
of dimension references in libnczarr/zsync.
A test for this and other pure-zarr features was added as
nczarr_test/run_purezarr.sh
Other changes:
* Make sure distcheck leaves no files around.
* Change the special attribute flag DIMSCALEFLAG to HIDDENATTRFLAG
to support the xarray attribute.
* Annotate the zmap implementations with feature flags such as
WRITEONCE (for zip files).
Primary Fixes:
* Add a whole variable optimization -- used in the rare case that nc_get/put_vara covers the whole of a variable and the variable has a single chunk.
* Fix chunking error when stride causes whole chunks to be skipped.
* Fix some memory leaks
* Add test cases
* Add one performance test to nczarr_test/. This uses the timer utils from unit_test: timer_utils.[ch].
* Move ncdumpchunks utility from ncdump to nczarr_test
Misc. Other Changes:
* Make check for aws libraries conditional on --enable-nczarr-s3
* Remove all but one bm tests from nczarr_test until they are working.
* Remove another dependency on HDF5 from supposedly non-HDF5 specific code; specifically hdf5_log_hdf5.
* Make the BAIL2 macro be hdf5 specific and replace elsewhere with an HDF5 independent equivalent.
* Move hdf5cache.c to libsrc4/nc4cache.c because it is used by nczarr.
* Modify unit_tests so that some of them are run even if using Windows.
* Misc. small bug fixes and refactors and memory leaks.
* Rename some conflicting tests for cmake.
* Attempted to make nc_perf work with cmake and failed.
Primary changes:
* Add an improved cache system to speed up performance.
* Fix NCZarr to properly handle scalar variables.
Misc. Related Changes:
* Added unit tests for extendible hash and for the generic cache.
* Add config parameter to set size of the NCZarr cache.
* Add initial performance tests but leave them unused.
* Add CRC64 support.
* Move location of ncdumpchunks utility from /ncgen to /ncdump.
* Refactor auth support.
Misc. Unrelated Changes:
* More cleanup of the S3 support
* Add support for S3 authentication in .rc files: HTTP.S3.ACCESSID and HTTP.S3.SECRETKEY.
* Remove the hashkey from the struct OBJHDR since it is never used.
