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/* This is part of the netCDF package. Copyright 2020 University
Corporation for Atmospheric Research/Unidata See COPYRIGHT file for
conditions of use.
Test HDF5 file code. These are not intended to be exhaustive tests,
but they use HDF5 the same way that netCDF-4 does, so if these
tests don't work, than netCDF-4 won't work either.
This files tests parallel I/O using compression filters. This
functionality is only available in HDF5-1.10.3 and later versions.
Ed Hartnett
*/
#include <nc_tests.h>
#include "err_macros.h"
#include <hdf5.h>
#define FILE_NAME "tst_h_par_compress.h5"
#define VAR_NAME "Athelstan"
#define NDIMS 1
#define DIM2_LEN 16000000
#define SC1 100000 /* slice count. */
#define H5Z_FILTER_DEFLATE 1
#define H5Z_FILTER_ZSTD 32015
#define H5Z_FILTER_SZIP 4
#define MAX_NUM_FILTERS 3
int
main(int argc, char **argv)
{
int cf;
int p, my_rank;
int num_compress_filters;
char filter_name[MAX_NUM_FILTERS][NC_MAX_NAME + 1];
int id[MAX_NUM_FILTERS];
MPI_Init(&argc, &argv);
MPI_Comm_rank(MPI_COMM_WORLD, &my_rank);
MPI_Comm_size(MPI_COMM_WORLD, &p);
/* We always have zlib. */
id[0] = H5Z_FILTER_DEFLATE;
strcpy(filter_name[0], "zlib");
num_compress_filters = 1;
/* We might have zstd. */
#ifdef HAVE_ZSTD
id[num_compress_filters] = H5Z_FILTER_ZSTD;
strcpy(filter_name[num_compress_filters], "zstd");
num_compress_filters++;
#endif
/* We might have szip. */
#ifdef HAVE_H5Z_SZIP
id[num_compress_filters] = H5Z_FILTER_SZIP;
strcpy(filter_name[num_compress_filters], "szip");
num_compress_filters++;
#endif
/* For builds with HDF5 prior to 1.10.3, just return success. */
#ifdef HDF5_SUPPORTS_PAR_FILTERS
for (cf = 0; cf < num_compress_filters; cf++)
{
if (!my_rank)
printf("*** Testing parallel I/O with %s compression...", filter_name[cf]);
{
hid_t fapl_id, fileid, whole_spaceid, dsid, slice_spaceid, whole_spaceid1, xferid;
hid_t plistid;
hsize_t start[NDIMS], count[NDIMS], ones[NDIMS];
hsize_t dims[1], chunksize = SC1;
int data[SC1], data_in[SC1];
int num_steps;
int deflate_level = 4;
unsigned int ulevel = 1;
int i, s;
/* We will write the same slice of random data over and over to
* fill the file. */
for (i = 0; i < SC1; i++)
data[i] = rand();
/* Create file. */
if ((fapl_id = H5Pcreate(H5P_FILE_ACCESS)) < 0) ERR;
if (H5Pset_fapl_mpio(fapl_id, MPI_COMM_WORLD, MPI_INFO_NULL) < 0) ERR;
if ((fileid = H5Fcreate(FILE_NAME, H5F_ACC_TRUNC, H5P_DEFAULT,
fapl_id)) < 0) ERR;
/* Create a space to deal with one slice in memory. */
dims[0] = SC1;
if ((slice_spaceid = H5Screate_simple(NDIMS, dims, NULL)) < 0) ERR;
/* Create a space to write all slices. */
dims[0] = DIM2_LEN;
if ((whole_spaceid = H5Screate_simple(NDIMS, dims, NULL)) < 0) ERR;
/* Create property list for dataset. */
if ((plistid = H5Pcreate(H5P_DATASET_CREATE)) < 0) ERR;
/* Turn off object tracking times in HDF5 (as is done in nc4hdf.c). */
if (H5Pset_obj_track_times(plistid, 0) < 0) ERR;
/* Required to truly turn HDF5 fill values off */
if (H5Pset_fill_time(plistid, H5D_FILL_TIME_NEVER) < 0) ERR;
/* Set compression, either deflate or szip. */
if (id[cf] == H5Z_FILTER_DEFLATE)
{
if (H5Pset_deflate(plistid, deflate_level) < 0) ERR;
}
else if (id[cf] == H5Z_FILTER_ZSTD)
{
herr_t code;
if ((code = H5Pset_filter(plistid, H5Z_FILTER_ZSTD, H5Z_FLAG_OPTIONAL, 1, &ulevel)))
ERR;
}
else if (id[cf] == H5Z_FILTER_SZIP)
{
int options_mask = 32;
int bits_per_pixel = 32;
if (H5Pset_szip(plistid, options_mask, bits_per_pixel)) ERR;
}
/* Set chunking. */
if (H5Pset_chunk(plistid, NDIMS, &chunksize) < 0) ERR;
/* Turn on creation order tracking. */
if (H5Pset_attr_creation_order(plistid, H5P_CRT_ORDER_TRACKED|
H5P_CRT_ORDER_INDEXED) < 0) ERR;
/* Create dataset. */
if ((dsid = H5Dcreate2(fileid, VAR_NAME, H5T_NATIVE_INT,
whole_spaceid, H5P_DEFAULT, plistid, H5P_DEFAULT)) < 0) ERR;
/* Use collective write operations. */
if ((xferid = H5Pcreate(H5P_DATASET_XFER)) < 0) ERR;
if (H5Pset_dxpl_mpio(xferid, H5FD_MPIO_COLLECTIVE) < 0) ERR;
/* Write the data in num_step steps. */
num_steps = (DIM2_LEN/SC1) / p;
for (s = 0; s < num_steps; s++)
{
/* Select hyperslab for write of one slice. */
start[0] = s * SC1 * p + my_rank * SC1;
count[0] = SC1;
ones[0] = 1;
if (H5Sselect_hyperslab(whole_spaceid, H5S_SELECT_SET,
start, NULL, ones, count) < 0) ERR;
if (H5Dwrite(dsid, H5T_NATIVE_INT, slice_spaceid, whole_spaceid,
xferid, data) < 0) ERR;
}
/* Close. These collective operations will allow every process
* to catch up. */
if (H5Dclose(dsid) < 0 ||
H5Sclose(whole_spaceid) < 0 ||
H5Sclose(slice_spaceid) < 0 ||
H5Pclose(fapl_id) < 0 ||
H5Pclose(plistid) < 0 ||
H5Fclose(fileid) < 0)
ERR;
/* Open the file. */
if ((fapl_id = H5Pcreate(H5P_FILE_ACCESS)) < 0) ERR;
if (H5Pset_fapl_mpio(fapl_id, MPI_COMM_WORLD, MPI_INFO_NULL) < 0) ERR;
if (H5Pset_libver_bounds(fapl_id, H5F_LIBVER_LATEST, H5F_LIBVER_LATEST) < 0) ERR;
if ((fileid = H5Fopen(FILE_NAME, H5F_ACC_RDONLY, fapl_id)) < 0) ERR;
/* Create a space to deal with one slice in memory. */
dims[0] = SC1;
if ((slice_spaceid = H5Screate_simple(NDIMS, dims, NULL)) < 0) ERR;
/* Open the dataset. */
if ((dsid = H5Dopen1(fileid, VAR_NAME)) < 0) ERR;
if ((whole_spaceid1 = H5Dget_space(dsid)) < 0) ERR;
/* Read the data, a slice at a time. */
for (s = 0; s < num_steps; s++)
{
/* Select hyperslab for read of one slice. */
start[0] = s * SC1 * p + my_rank * SC1;
count[0] = SC1;
ones[0] = 1;
if (H5Sselect_hyperslab(whole_spaceid1, H5S_SELECT_SET,
start, NULL, ones, count) < 0)
{
ERR;
return 2;
}
if (H5Dread(dsid, H5T_NATIVE_INT, slice_spaceid, whole_spaceid1,
H5P_DEFAULT, data_in) < 0)
{
ERR;
return 2;
}
/* Check the slice of data. */
for (i = 0; i < SC1; i++)
if (data[i] != data_in[i])
{
ERR;
return 2;
}
}
/* Close down. */
if (H5Dclose(dsid) < 0 ||
H5Sclose(slice_spaceid) < 0 ||
H5Sclose(whole_spaceid1) < 0 ||
H5Pclose(fapl_id) < 0 ||
H5Fclose(fileid) < 0)
ERR;
}
if (!my_rank)
SUMMARIZE_ERR;
} /* next cf */
#else
{
if (!my_rank)
printf("*** HDF5 1.10.3 or greater required for this test.\n");
}
#endif /* HDF5_SUPPORTS_PAR_FILTERS */
MPI_Finalize();
if (!my_rank)
FINAL_RESULTS;
return 0;
}
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