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59e04ae071
netcdf-c/ncdump/ref_ctest_special_atts_4.c
Dennis Heimbigner 59e04ae071 This PR adds EXPERIMENTAL support for accessing data in the 
cloud using a variant of the Zarr protocol and storage
format. This enhancement is generically referred to as "NCZarr".

The data model supported by NCZarr is netcdf-4 minus the user-defined
types and the String type. In this sense it is similar to the CDF-5
data model.

More detailed information about enabling and using NCZarr is
described in the document NUG/nczarr.md and in a
[Unidata Developer's blog entry](https://www.unidata.ucar.edu/blogs/developer/en/entry/overview-of-zarr-support-in).

WARNING: this code has had limited testing, so do use this version
for production work. Also, performance improvements are ongoing.
Note especially the following platform matrix of successful tests:

Platform | Build System | S3 support
------------------------------------
Linux+gcc      | Automake     | yes
Linux+gcc      | CMake        | yes
Visual Studio  | CMake        | no

Additionally, and as a consequence of the addition of NCZarr,
major changes have been made to the Filter API. NOTE: NCZarr
does not yet support filters, but these changes are enablers for
that support in the future.  Note that it is possible
(probable?) that there will be some accidental reversions if the
changes here did not correctly mimic the existing filter testing.

In any case, previously filter ids and parameters were of type
unsigned int. In order to support the more general zarr filter
model, this was all converted to char*.  The old HDF5-specific,
unsigned int operations are still supported but they are
wrappers around the new, char* based nc_filterx_XXX functions.
This entailed at least the following changes:
1. Added the files libdispatch/dfilterx.c and include/ncfilter.h
2. Some filterx utilities have been moved to libdispatch/daux.c
3. A new entry, "filter_actions" was added to the NCDispatch table
   and the version bumped.
4. An overly complex set of structs was created to support funnelling
   all of the filterx operations thru a single dispatch
   "filter_actions" entry.
5. Move common code to from libhdf5 to libsrc4 so that it is accessible
   to nczarr.

Changes directly related to Zarr:
1. Modified CMakeList.txt and configure.ac to support both C and C++
   -- this is in support of S3 support via the awd-sdk libraries.
2. Define a size64_t type to support nczarr.
3. More reworking of libdispatch/dinfermodel.c to
   support zarr and to regularize the structure of the fragments
   section of a URL.

Changes not directly related to Zarr:
1. Make client-side filter registration be conditional, with default off.
2. Hack include/nc4internal.h to make some flags added by Ed be unique:
   e.g. NC_CREAT, NC_INDEF, etc.
3. cleanup include/nchttp.h and libdispatch/dhttp.c.
4. Misc. changes to support compiling under Visual Studio including:
   * Better testing under windows for dirent.h and opendir and closedir.
5. Misc. changes to the oc2 code to support various libcurl CURLOPT flags
   and to centralize error reporting.
6. By default, suppress the vlen tests that have unfixed memory leaks; add option to enable them.
7. Make part of the nc_test/test_byterange.sh test be contingent on remotetest.unidata.ucar.edu being accessible.

Changes Left TO-DO:
1. fix provenance code, it is too HDF5 specific.
2020-06-28 18:02:47 -06:00

193 lines
7.1 KiB
C
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#include <stdio.h>
#include <stdlib.h>
#include <netcdf.h>
typedef struct obs_t {
signed char obs_t_PERIOD_day;
short obs_t_PERIOD_elev;
int obs_t_PERIOD_count;
float obs_t_PERIOD_relhum;
double obs_t_PERIOD_time;
unsigned char obs_t_PERIOD_category;
unsigned short obs_t_PERIOD_id;
unsigned int obs_t_PERIOD_particularity;
signed long long obs_t_PERIOD_attention_span;
} obs_t;
static size_t var2_chunksizes[2] = {6, 7} ;
static size_t var3_chunksizes[3] = {6, 7, 8} ;
static size_t var4_chunksizes[3] = {6, 7, 8} ;
static size_t var5_chunksizes[1] = {6} ;
void
check_err(const int stat, int line, const char* file, const char* func) {
if (stat != NC_NOERR) {
(void)fprintf(stderr,"line %d of %s.%s: %s\n", line, file, func, nc_strerror(stat));
fflush(stderr);
exit(1);
}
}
#define CHECK_ERR(err) check_err(err, __LINE__, __FILE__, __func__)
int
main() {/* create ref_tst_special_atts.nc */
int stat; /* return status */
int ncid; /* netCDF id */
/* group ids */
int tst_special_atts_grp;
/* type ids */
int obs_t_typ;
/* dimension ids */
int dim1_dim;
int dim2_dim;
int dim3_dim;
/* dimension lengths */
size_t dim1_len = 10;
size_t dim2_len = 20;
size_t dim3_len = 30;
/* variable ids */
int var1_id;
int var2_id;
int var3_id;
int var4_id;
int var5_id;
int var6_id;
int var7_id;
/* rank (number of dimensions) for each variable */
# define RANK_var1 1
# define RANK_var2 2
# define RANK_var3 3
# define RANK_var4 3
# define RANK_var5 1
# define RANK_var6 1
# define RANK_var7 0
/* variable shapes */
int var1_dims[RANK_var1];
int var2_dims[RANK_var2];
int var3_dims[RANK_var3];
int var4_dims[RANK_var4];
int var5_dims[RANK_var5];
int var6_dims[RANK_var6];
/* enter define mode */
stat = nc_create("ref_tst_special_atts.nc", NC_CLOBBER|NC_NETCDF4, &ncid);
CHECK_ERR(stat);
tst_special_atts_grp = ncid;
stat = nc_def_compound(tst_special_atts_grp, sizeof(obs_t), "obs_t", &obs_t_typ); CHECK_ERR(stat);
{
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "day", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_day), NC_BYTE); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "elev", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_elev), NC_SHORT); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "count", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_count), NC_INT); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "relhum", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_relhum), NC_FLOAT); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "time", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_time), NC_DOUBLE); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "category", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_category), NC_UBYTE); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "id", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_id), NC_USHORT); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "particularity", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_particularity), NC_UINT); CHECK_ERR(stat);
stat = nc_insert_compound(tst_special_atts_grp, obs_t_typ, "attention_span", NC_COMPOUND_OFFSET(obs_t,obs_t_PERIOD_attention_span), NC_INT64); CHECK_ERR(stat);
}
/* define dimensions */
stat = nc_def_dim(tst_special_atts_grp, "dim1", dim1_len, &dim1_dim);
CHECK_ERR(stat);
stat = nc_def_dim(tst_special_atts_grp, "dim2", dim2_len, &dim2_dim);
CHECK_ERR(stat);
stat = nc_def_dim(tst_special_atts_grp, "dim3", dim3_len, &dim3_dim);
CHECK_ERR(stat);
/* define variables */
var1_dims[0] = dim1_dim;
stat = nc_def_var(tst_special_atts_grp, "var1", NC_INT, RANK_var1, var1_dims, &var1_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var1_id, NC_CONTIGUOUS, NULL);
CHECK_ERR(stat);
stat = nc_def_var_endian(tst_special_atts_grp, var1_id, NC_ENDIAN_LITTLE);
CHECK_ERR(stat);
var2_dims[0] = dim1_dim;
var2_dims[1] = dim2_dim;
stat = nc_def_var(tst_special_atts_grp, "var2", NC_INT, RANK_var2, var2_dims, &var2_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var2_id, NC_CHUNKED, var2_chunksizes);
CHECK_ERR(stat);
stat = nc_def_var_fletcher32(tst_special_atts_grp, var2_id, 1);
CHECK_ERR(stat);
stat = nc_def_var_endian(tst_special_atts_grp, var2_id, NC_ENDIAN_BIG);
CHECK_ERR(stat);
var3_dims[0] = dim1_dim;
var3_dims[1] = dim2_dim;
var3_dims[2] = dim3_dim;
stat = nc_def_var(tst_special_atts_grp, "var3", NC_INT, RANK_var3, var3_dims, &var3_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var3_id, NC_CHUNKED, var3_chunksizes);
CHECK_ERR(stat);
stat = nc_def_var_deflate(tst_special_atts_grp, var3_id, NC_NOSHUFFLE, 1, 2);
CHECK_ERR(stat);
stat = nc_def_var_endian(tst_special_atts_grp, var3_id, NC_ENDIAN_LITTLE);
CHECK_ERR(stat);
var4_dims[0] = dim1_dim;
var4_dims[1] = dim2_dim;
var4_dims[2] = dim3_dim;
stat = nc_def_var(tst_special_atts_grp, "var4", NC_INT, RANK_var4, var4_dims, &var4_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var4_id, NC_CHUNKED, var4_chunksizes);
CHECK_ERR(stat);
stat = nc_def_var_deflate(tst_special_atts_grp, var4_id, NC_SHUFFLE, 1, 2);
CHECK_ERR(stat);
stat = nc_def_var_endian(tst_special_atts_grp, var4_id, NC_ENDIAN_LITTLE);
CHECK_ERR(stat);
stat = nc_def_var_fill(tst_special_atts_grp, var4_id, NC_NOFILL, NULL);
CHECK_ERR(stat);
var5_dims[0] = dim1_dim;
stat = nc_def_var(tst_special_atts_grp, "var5", obs_t_typ, RANK_var5, var5_dims, &var5_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var5_id, NC_CHUNKED, var5_chunksizes);
CHECK_ERR(stat);
stat = nc_def_var_fletcher32(tst_special_atts_grp, var5_id, 1);
CHECK_ERR(stat);
stat = nc_def_var_deflate(tst_special_atts_grp, var5_id, NC_SHUFFLE, 1, 2);
CHECK_ERR(stat);
stat = nc_def_var_fill(tst_special_atts_grp, var5_id, NC_NOFILL, NULL);
CHECK_ERR(stat);
var6_dims[0] = dim1_dim;
stat = nc_def_var(tst_special_atts_grp, "var6", NC_INT, RANK_var6, var6_dims, &var6_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var6_id, NC_COMPACT, NULL);
CHECK_ERR(stat);
stat = nc_def_var_endian(tst_special_atts_grp, var6_id, NC_ENDIAN_LITTLE);
CHECK_ERR(stat);
stat = nc_def_var(tst_special_atts_grp, "var7", NC_INT, RANK_var7, 0, &var7_id);
CHECK_ERR(stat);
stat = nc_def_var_chunking(tst_special_atts_grp, var7_id, NC_COMPACT, NULL);
CHECK_ERR(stat);
stat = nc_def_var_endian(tst_special_atts_grp, var7_id, NC_ENDIAN_LITTLE);
CHECK_ERR(stat);
/* leave define mode */
stat = nc_enddef (tst_special_atts_grp);
CHECK_ERR(stat);
/* assign variable data */
stat = nc_close(tst_special_atts_grp);
CHECK_ERR(stat);
return 0;
}
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