Mostly just add an explicit cast when calling `malloc` and its
variants. Sometimes instead change the type of a local variable if
this would silence multiple warnings.
re: https://github.com/Unidata/netcdf-c/issues/2733
When addressing the above issue, I noticed that there was a disconnect
in NCZarr between nc_set_chunk_cache and nc_set_var_chunk cache.
Specifically, setting nc_set_chunk_cache had no impact on the per-variable cache parameters when nc_set_var_chunk_cache was not used.
So, modified the NCZarr code so that the per-variable cache parameters are set in this order (#1 is first choice):
1. The values set by nc_set_var_chunk_cache
2. The values set by nc_set_chunk_cache
3. The defaults set by configure.ac
re: Discussion https://github.com/Unidata/netcdf-c/discussions/2554
re: PR https://github.com/Unidata/netcdf-c/pull/2231
re: Issue https://github.com/Unidata/netcdf-c/issues/2189
After some discussion, the issue of applying filters on variables
whose type is not fixed size, was resolved as follows:
1. A call to nc_def_var_filter will ignore such filters, but will issue a log warning.
2. Loading (from an existing file) a variable whose type is not fixed-size and which has filters, will cause the variable to be suppressed.
This PR enforces those rules.
### Misc. Other changes
* Add a test case to test the vlen change.
* Make some minor clean-ups in various cmake and automake files.
* Remove unused test
re: Issue https://github.com/Unidata/netcdf-c/issues/2685
re: PR https://github.com/Unidata/netcdf-c/pull/2179
As noted in PR https://github.com/Unidata/netcdf-c/pull/2179,
the old code did not allow for reclaiming instances of types,
nor for properly copying them. That PR provided new functions
capable of reclaiming/copying instances of arbitrary types.
However, as noted by Issue https://github.com/Unidata/netcdf-c/issues/2685, using these
most general functions resulted in a significant performance
degradation, even for common cases.
This PR attempts to mitigate the cost of using the general
reclaim/copy functions in two ways.
First, the previous functions operating at the top level by
using ncid and typeid arguments. These functions were augmented
with equivalent versions that used the netcdf-c library internal
data structures to allow direct access to needed information.
These new functions are used internally to the library.
The second mitigation involves optimizing the internal functions
by providing early tests for common cases. This avoids
unnecessary recursive function calls.
The overall result is a significant improvement in speed by a
factor of roughly twenty -- your mileage may vary. These
optimized functions are still not as fast as the original (more
limited) functions, but they are getting close. Additional optimizations are
possible. But the cost is a significant "uglification" of the
code that I deemed a step too far, at least for now.
## Misc. Changes
1. Added a test case to check the proper reclamation/copy of complex types.
2. Found and fixed some places where nc_reclaim/copy should have been used.
3. Replaced, in the netcdf-c library, (almost all) occurrences of nc_reclaim_copy with calls to NC_reclaim/copy. This plus the optimizations is the primary speed-up mechanism.
4. In DAP4, the metadata is held in a substrate in-memory file; this required some changes so that the reclaim/copy code accessed that substrate dispatcher rather than the DAP4 dispatcher.
5. Re-factored and isolated the code that computes if a type is (transitively) variable-sized or not.
6. Clean up the reclamation code in ncgen; adding the use of nc_reclaim exposed some memory problems.
## Improvements to S3 Documentation
* Create a new document *quickstart_paths.md* that give a summary of the legal path formats used by netcdf-c. This includes both file paths and URL paths.
* Modify *nczarr.md* to remove most of the S3 related text.
* Move the S3 text from *nczarr.md* to a new document *cloud.md*.
* Add some S3-related text to the *byterange.md* document.
Hopefully, this will make it easier for users to find the information they want.
## Rebuild NCZarr Testing
In order to avoid problems with running make check in parallel, two changes were made:
1. The *nczarr_test* test system was rebuilt. Now, for each test.
any generated files are kept in a test-specific directory, isolated
from all other test executions.
2. Similarly, since the S3 test bucket is shared, any generated S3 objects
are isolated using a test-specific key path.
## Other S3 Related Changes
* Add code to ensure that files created on S3 are reclaimed at end of testing.
* Used the bash "trap" command to ensure S3 cleanup even if the test fails.
* Cleanup the S3 related configure.ac flag set since S3 is used in several places. So now one should use the option *--enable-s3* instead of *--enable-nczarr-s3*, although the latter is still kept as a deprecated alias for the former.
* Get some of the github actions yml to work with S3; required fixing various test scripts adding a secret to access the Unidata S3 bucket.
* Cleanup S3 portion of libnetcdf.settings.in and netcdf_meta.h.in and test_common.in.
* Merge partial S3 support into dhttp.c.
* Create an experimental s3 access library especially for use with Windows. It is enabled by using the options *--enable-s3-internal* (automake) or *-DENABLE_S3_INTERNAL=ON* (CMake). Also add a unit-test for it.
* Move some definitions from ncrc.h to ncs3sdk.h
## Other Changes
* Provide a default implementation of strlcpy and move this and similar defaults into *dmissing.c*.
Warning: This PR is a follow on to PR https://github.com/Unidata/netcdf-c/pull/2555 and should not be merged until that prior PR has been merged. The changeset for this PR is a delta on the PR https://github.com/Unidata/netcdf-c/pull/2555.
This PR re-enables the use of the server *remotetest.unidata.ucar.edu/d4ts*
to test several features:
1. Show that access over the Internet to servers using the DAP4 protocol works.
2. Test that DAP4 support in the [Thredds Data Server](https://github.com/Unidata/tds) is operating correctly.
4. Test that the DAP4 support in the [netcdf-java library](https://github.com/Unidata/netcdf-java) library and the DAP4 support in the netcdf-c library are consistent and are interoperable.
The test inputs (primarily *\*.nc* files) provided in the netcdf-c library
are also used by the DAP4 Test Server (aka d4ts) to present web access to a
collection of data files accessible via the DAP4 protocol and which can be
used for testing Internet access to a working server.
To be precise, this version of d4ts is currently in unmerged branches
of the *netcdf-java* and *tds* Github repositories and so are not actually
in the main repositories *yet*. However, the *d4ts.war* file was created
from that branch and used to populate the *remotetest.unidata.ucar.edu*
server
The two other remote servers that were used in the past are *Hyrax* (OPenDAP.org)
and *thredds-test*. These will continue to remain disabled until
those servers can be fixed.
## Primary Changes
* Rebuild the *baselineremote* directory. This directory contains the validation data needed to test the remote servers.
* Re-enable using remotetest.unidata.ucar.edu as part of the DAP4 testing process.
* Fix the *dap4_test/test_remote.sh* test script to match the current available test data.
* Make some changes to libdap4 to improve the ability to catch malformed data streams [affects a lot of files in libdap4].
## Misc. Unrelated Changes
* Remove a raft of warnings, especially in nc_test4/tst_quantize.c.
* Add some additional explanatory information to the NCZarr documentation.
* Cleanup some Doxygen errors in the docs file and reorder some files.
* re: https://github.com/Unidata/netcdf-c/pull/2278
* re: https://github.com/Unidata/netcdf-c/issues/2485
* re: https://github.com/Unidata/netcdf-c/issues/2474
This PR subsumes PR https://github.com/Unidata/netcdf-c/pull/2278.
Actually is a bit an omnibus covering several issues.
## PR https://github.com/Unidata/netcdf-c/pull/2278
Add support for the Zarr string type.
Zarr strings are restricted currently to be of fixed size.
The primary issue to be addressed is to provide a way for user to
specify the size of the fixed length strings. This is handled by providing
the following new attributes special:
1. **_nczarr_default_maxstrlen** —
This is an attribute of the root group. It specifies the default
maximum string length for string types. If not specified, then
it has the value of 64 characters.
2. **_nczarr_maxstrlen** —
This is a per-variable attribute. It specifies the maximum
string length for the string type associated with the variable.
If not specified, then it is assigned the value of
**_nczarr_default_maxstrlen**.
This PR also requires some hacking to handle the existing netcdf-c NC_CHAR
type, which does not exist in zarr. The goal was to choose numpy types for
both the netcdf-c NC_STRING type and the netcdf-c NC_CHAR type such that
if a pure zarr implementation read them, it would still work and an
NC_CHAR type would be handled by zarr as a string of length 1.
For writing variables and NCZarr attributes, the type mapping is as follows:
* "|S1" for NC_CHAR.
* ">S1" for NC_STRING && MAXSTRLEN==1
* ">Sn" for NC_STRING && MAXSTRLEN==n
Note that it is a bit of a hack to use endianness, but it should be ok since for
string/char, the endianness has no meaning.
For reading attributes with pure zarr (i.e. with no nczarr
atribute types defined), they will always be interpreted as of
type NC_CHAR.
## Issue: https://github.com/Unidata/netcdf-c/issues/2474
This PR partly fixes this issue because it provided more
comprehensive support for Zarr attributes that are JSON valued expressions.
This PR still does not address the problem in that issue where the
_ARRAY_DIMENSION attribute is incorrectly set. Than can only be
fixed by the creator of the datasets.
## Issue: https://github.com/Unidata/netcdf-c/issues/2485
This PR also fixes the scalar failure shown in this issue.
It generally cleans up scalar handling.
It also adds a note to the documentation describing that
NCZarr supports scalars while Zarr does not and also how
scalar interoperability is achieved.
## Misc. Other Changes
1. Convert the nczarr special attributes and keys to be all lower case. So "_NCZARR_ATTR" now used "_nczarr_attr. Support back compatibility for the upper case names.
2. Cleanup my too-clever-by-half handling of scalars in libnczarr.
re: https://github.com/Unidata/netcdf-c/issues/2159
There was error in libhdf5 that only allowed reading a single
value HDF5 fixed string. Fix to allow reading an array of such strings.
Also make sure it still works for scalars and for attributes.
Add a testcase: nc_test4/tst_fixedstring.sh.
re: https://github.com/Unidata/netcdf-c/issues/982
It is possible to define an enum type that has no enum constant
with value zero. However, HDF5 has a default fill value of zero
that it used to fill all chunks. In the event that this situation
occurs, ncdump, say, will fail because there is no enum const
to print for the value zero.
The solution is to create a special enum constant called "_UNDEFINED"
that has the value zero. It is only used in the case that there is
no constant in the enum that already covers zero.
A test case is added in netcdf-c/ncdump to validate this solution.
Note: the changes occur primarily in libsrc4, so they also work for NCZarr.
re: https://github.com/Unidata/netcdf-c/issues/2337
re: https://github.com/Unidata/netcdf-c/issues/2407
Add two functions to netcdf.h to allow programs to get/set
selected entries into the internal .rc tables. This should fix
the above issues by allowing HTTP.CAINFO to be set to the
certificates directory. Note that the changes should be
performed as early as possible in the program because some of
the .rc table entries may get cached internally and changing the
entry after that caching occurs may have no effect.
The new signatures are as follows:
1. Get the value of a simple .rc entry of the form "key=value".
Note that caller must free the returned value, which might be NULL.
````
char* nc_rc_get(char* const * key);
@param key table entry key
@return value if .rc table has entry of the form key=value
@return NULL if no such entry is found.
````
2. Insert/Overwrite the specified key=value pair in the .rc table.
````
int nc_rc_set(const char* key, const char* value);
@param key table entry key -- may not be NULL
@param value table entry value -- may not be NULL
@return NC_NOERR if no error
@return NC_EINVAL if error
````
Addendum:
re: https://github.com/Unidata/netcdf-c/issues/2407
Modify dhttp.c to use the .rc entry HTTP.CAINFO if defined.
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.
