netcdf-c/nc_test4/tst_parallel5.c

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/* Copyright 2018, UCAR/Unidata See COPYRIGHT file for copying and
* redistribution conditions.
*
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* This program tests netcdf-4 parallel I/O.
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*
* Ed Hartnett
*/
#include <nc_tests.h>
#include "err_macros.h"
#include <mpi.h>
#define FILE "tst_parallel5.nc"
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#define VAR_NAME "TheIrishRover"
#define DIM_NAME "number_of_masts"
#define MASTS 27
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#define NDIMS1 1
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#define DIMSIZE 4
#define NUM_PROC 4
#define NUM_SLABS 10
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#define NUM_ACCESS_TESTS 2
#define HDF5_DEFAULT_CACHE_SIZE 1048576
#define HDF5_DEFAULT_NELEMS 521
#define HDF5_DEFAULT_PREEMPTION 0.75
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int
nc4_hdf5_get_chunk_cache(int ncid, size_t *sizep, size_t *nelemsp,
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float *preemptionp);
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int
main(int argc, char **argv)
{
int mpi_size, mpi_rank;
MPI_Comm comm = MPI_COMM_WORLD;
MPI_Info info = MPI_INFO_NULL;
int ncid, v1id, dimid;
size_t start[NDIMS1] = {0}, count[NDIMS1] = {0};
int data = MASTS;
int data_in = TEST_VAL_42;
int acc;
/* Initialize MPI. */
MPI_Init(&argc, &argv);
MPI_Comm_size(MPI_COMM_WORLD, &mpi_size);
MPI_Comm_rank(MPI_COMM_WORLD, &mpi_rank);
/* Require exactly 4 tasks. */
if (mpi_size != NUM_PROC) ERR;
if (!mpi_rank)
printf("\n*** Testing parallel I/O.\n");
if (!mpi_rank)
printf("*** testing whether we can write 0 elements from some tasks...");
{
for (acc = 0; acc < NUM_ACCESS_TESTS; acc++)
{
/* Create a parallel netcdf-4 file. */
/*nc_set_log_level(3);*/
if (nc_create_par(FILE, NC_NETCDF4, comm, info, &ncid)) ERR;
/* Create a dimension. */
if (nc_def_dim(ncid, DIM_NAME, DIMSIZE, &dimid)) ERR;
/* Create one var. */
if (nc_def_var(ncid, VAR_NAME, NC_INT, NDIMS1, &dimid, &v1id)) ERR;
/* Write metadata to file. */
if (nc_enddef(ncid)) ERR;
/* Set up slab for this process. */
if (!mpi_rank)
count[0] = 1;
if (nc_var_par_access(ncid, v1id, acc ? NC_COLLECTIVE : NC_INDEPENDENT)) ERR;
/* Write phoney data. */
if (nc_put_vara_int(ncid, v1id, start, count, &data)) ERR;
if (nc_sync(ncid)) ERR;
/* Read phoney data. */
if (nc_get_vara_int(ncid, v1id, start, count, &data_in)) ERR;
/* Task 0 has MASTS, the others have data_in remaining, as
* initialized, at TEST_VAL_42. */
if (data_in != (mpi_rank ? TEST_VAL_42 : MASTS)) ERR;
/* Close the netcdf file. */
if (nc_close(ncid)) ERR;
}
}
if (!mpi_rank)
SUMMARIZE_ERR;
if (!mpi_rank)
printf("*** testing enum type and parallel I/O...");
{
for (acc = 0; acc < NUM_ACCESS_TESTS; acc++)
{
#define ENUM_NAME "cargo"
#define ENUM_VAR_NAME "in_the_hold_of_the_Irish_Rover"
#define NUM_ENUM_FIELDS 8
int typeid;
int f;
char field_name[NUM_ENUM_FIELDS][NC_MAX_NAME + 1] = {"bags of the best Sligo rags", "barrels of bones",
"bails of old nanny goats' tails", "barrels of stones",
"dogs", "hogs", "barrels of porter",
"sides of old blind horses hides"};
unsigned long long field_value[NUM_ENUM_FIELDS] = {1000000, 2000000, 3000000, 4000000,
5000000, 6000000, 7000000, 8000000};
unsigned long long data = 1000000, data_in = TEST_VAL_42;
/* Create a parallel netcdf-4 file. */
/*nc_set_log_level(3);*/
if (nc_create_par(FILE, NC_NETCDF4, comm, info, &ncid)) ERR;
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/* Create a dimension. */
if (nc_def_dim(ncid, DIM_NAME, DIMSIZE, &dimid)) ERR;
/* Create an enum type. */
if (nc_def_enum(ncid, NC_UINT64, ENUM_NAME, &typeid)) ERR;
for (f = 0; f < NUM_ENUM_FIELDS; f++)
if (nc_insert_enum(ncid, typeid, field_name[f], &field_value[f])) ERR;
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/* Create one var. */
if (nc_def_var(ncid, ENUM_VAR_NAME, typeid, NDIMS1, &dimid, &v1id)) ERR;
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/* Write metadata to file. */
if (nc_enddef(ncid)) ERR;
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/* Set up slab for this process. */
if (!mpi_rank)
count[0] = 1;
if (nc_var_par_access(ncid, v1id, acc ? NC_COLLECTIVE : NC_INDEPENDENT)) ERR;
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/* Write phoney data. */
if (nc_put_vara(ncid, v1id, start, count, &data)) ERR;
if (nc_sync(ncid)) ERR;
/* Read phoney data. */
if (nc_get_vara(ncid, v1id, start, count, &data_in)) ERR;
/* Task 0 has 1000000, the others have data_in remaining, as
* initialized, at TEST_VAL_42. */
if (data_in != (mpi_rank ? TEST_VAL_42 : 1000000)) ERR;
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/* Close the netcdf file. */
if (nc_close(ncid)) ERR;
}
}
if (!mpi_rank)
SUMMARIZE_ERR;
if (!mpi_rank)
printf("*** testing compound type and parallel I/O...");
{
for (acc = 0; acc < NUM_ACCESS_TESTS; acc++)
{
#define COMPOUND_NAME "crew_info"
#define COMPOUND_VAR_NAME "whale_of_a_crew"
#define NUM_CREW 5
#define CREW_DIM_NAME "number_of_crew"
int typeid;
struct crew
{
char name[NC_MAX_NAME + 1];
char description[NC_MAX_NAME + 1];
char origin[NC_MAX_NAME + 1];
int age;
};
struct crew data = {"Mick McCann", "the skipper of the Irish Rover",
"from the banks of the Bann", 42};
struct crew data_in = {"", "", "", -42};
int dim_size = NC_MAX_NAME + 1;
/* Create a parallel netcdf-4 file. */
/*nc_set_log_level(3);*/
if (nc_create_par(FILE, NC_NETCDF4, comm, info, &ncid)) ERR;
/* Create a dimension. */
if (nc_def_dim(ncid, CREW_DIM_NAME, NUM_CREW, &dimid)) ERR;
/* Create a compound type. */
if (nc_def_compound(ncid, sizeof(struct crew), COMPOUND_NAME, &typeid)) ERR;
if (nc_insert_array_compound(ncid, typeid, "name", NC_COMPOUND_OFFSET(struct crew, name), NC_CHAR, 1, &dim_size)) ERR;
if (nc_insert_array_compound(ncid, typeid, "description", NC_COMPOUND_OFFSET(struct crew, description), NC_CHAR, 1, &dim_size)) ERR;
if (nc_insert_array_compound(ncid, typeid, "origin", NC_COMPOUND_OFFSET(struct crew, origin), NC_CHAR, 1, &dim_size)) ERR;
if (nc_insert_compound(ncid, typeid, "age", NC_COMPOUND_OFFSET(struct crew, age), NC_INT)) ERR;
/* Create one var. */
if (nc_def_var(ncid, COMPOUND_VAR_NAME, typeid, NDIMS1, &dimid, &v1id)) ERR;
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/* Write metadata to file. */
if (nc_enddef(ncid)) ERR;
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/* Set up slab for this process. */
if (!mpi_rank)
count[0] = 1;
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if (nc_var_par_access(ncid, v1id, acc ? NC_COLLECTIVE : NC_INDEPENDENT)) ERR;
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/* Write phoney data. */
if (nc_put_vara(ncid, v1id, start, count, &data)) ERR;
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if (nc_sync(ncid)) ERR;
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/* Read phoney data. */
if (nc_get_vara(ncid, v1id, start, count, &data_in)) ERR;
/* Task 0 has data, the others have nothing. */
if (!mpi_rank)
{
if (strcmp(data_in.name, data.name) || strcmp(data_in.description, data.description) ||
strcmp(data_in.origin, data.origin) || data_in.age != data.age) ERR;
}
else
{
if (strcmp(data_in.name, "") || strcmp(data_in.description, "") ||
strcmp(data_in.origin, "") || data_in.age != -42) ERR;
}
/* Close the netcdf file. */
if (nc_close(ncid)) ERR;
}
}
if (!mpi_rank)
SUMMARIZE_ERR;
if (!mpi_rank)
printf("*** testing string type and parallel I/O...");
{
for (acc = 0; acc < NUM_ACCESS_TESTS; acc++)
{
#define STORY_VAR_NAME "fate_of_the_Irish_Rover"
#define STORY_DIM_NAME "number_of_lines"
#define STORY_LEN 8
char *story[STORY_LEN] = {"We had sailed seven years when the measles broke out",
"And the ship lost it's way in the fog",
"And that whale of the crew was reduced down to two",
"Just myself and the captain's old dog",
"Then the ship struck a rock, oh Lord what a shock",
"The bulkhead was turned right over",
"Turned nine times around, and the poor dog was drowned",
"I'm the last of the Irish Rover"};
char *story_in[STORY_LEN];
int s;
/* Create a netcdf-4 file. Turns out that HDF5 does not
* support VLEN writes with parallel I/O. Strings are
* VLENS. So here I write a file with task 0 and then read it
* with all tasks. */
if (!mpi_rank)
{
if (nc_create(FILE, NC_NETCDF4, &ncid)) ERR;
/* Create a dimension. */
if (nc_def_dim(ncid, STORY_DIM_NAME, STORY_LEN, &dimid)) ERR;
/* Create one var. */
if (nc_def_var(ncid, STORY_VAR_NAME, NC_STRING, NDIMS1, &dimid, &v1id)) ERR;
/* Write metadata to file. */
if (nc_enddef(ncid)) ERR;
/* Set up slab for this process. */
count[0] = STORY_LEN;
/* Write phoney data. */
if (nc_put_vara(ncid, v1id, start, count, story)) ERR;
/* Close the netcdf file. */
if (nc_close(ncid)) ERR;
}
/* Now try parallel read. */
if (nc_open_par(FILE, 0, comm, info, &ncid)) ERR;
/* Task 0 reads all 8 lines, other tasks read 0. */
if (nc_get_vara(ncid, v1id, start, count, story_in)) ERR;
if (!mpi_rank)
{
for (s = 0; s < STORY_LEN; s++)
if (strcmp(story_in[s], story[s])) ERR;
if (nc_free_string(STORY_LEN, (char **)story_in)) ERR;
}
/* Close the netcdf file. */
if (nc_close(ncid)) ERR;
}
}
if (!mpi_rank)
SUMMARIZE_ERR;
if (!mpi_rank)
printf("*** testing NC_BYTE type and parallel I/O...");
{
/* This test is related to
* https://github.com/Unidata/netcdf-c/issues/1462. */
int ncid, varid;
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signed char test_data_in, test_data = 42;
/* Crate a file with a scalar NC_BYTE value. */
if (nc_create_par(FILE, NC_NETCDF4, MPI_COMM_WORLD, MPI_INFO_NULL,
&ncid)) ERR;
if (nc_def_var(ncid, VAR_NAME, NC_BYTE, 0, NULL, &varid)) ERR;
if (nc_enddef(ncid)) ERR;
if (nc_put_var_schar(ncid, varid, &test_data)) ERR;
if (nc_close(ncid)) ERR;
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/* Reopen the file and check. */
if (nc_open_par(FILE, 0, comm, info, &ncid)) ERR;
if (nc_get_var_schar(ncid, varid, &test_data_in)) ERR;
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if (test_data_in != test_data) ERR;
if (nc_close(ncid)) ERR;
}
if (!mpi_rank)
SUMMARIZE_ERR;
if (!mpi_rank)
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printf("*** testing cache settings for sequentially-opened files...");
{
/* This test is related to
* https://github.com/Unidata/netcdf-c/issues/1715. */
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int ncid;
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size_t size, nelems;
float preemption;
/* Create a file with parallel I/O and check cache settings. */
if (nc_create_par(FILE, NC_NETCDF4|NC_CLOBBER, MPI_COMM_WORLD, MPI_INFO_NULL,
&ncid)) ERR;
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if (nc4_hdf5_get_chunk_cache(ncid, &size, &nelems, &preemption)) ERR;
if (size != HDF5_DEFAULT_CACHE_SIZE || nelems != HDF5_DEFAULT_NELEMS ||
preemption != HDF5_DEFAULT_PREEMPTION) ERR;
/* printf("%ld %ld %g\n", size, nelems, preemption); */
if (nc_close(ncid)) ERR;
/* Create a file with sequential I/O and check cache settings
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* on processor 0. Now, instead of being set to the HDF5
* defaults, the chunk settings are set to the netCDF
* defaults. */
if (!mpi_rank)
{
if (nc_create(FILE, NC_NETCDF4|NC_CLOBBER, &ncid)) ERR;
if (nc4_hdf5_get_chunk_cache(ncid, &size, &nelems, &preemption)) ERR;
/* printf("%ld %ld %g\n", size, nelems, preemption); */
if (size != CHUNK_CACHE_SIZE || nelems != CHUNK_CACHE_NELEMS ||
preemption != CHUNK_CACHE_PREEMPTION) ERR;
if (nc_close(ncid)) ERR;
}
/* Reopen the file and check. */
if (nc_open_par(FILE, 0, comm, info, &ncid)) ERR;
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if (nc4_hdf5_get_chunk_cache(ncid, &size, &nelems, &preemption)) ERR;
if (size != HDF5_DEFAULT_CACHE_SIZE || nelems != HDF5_DEFAULT_NELEMS ||
preemption != HDF5_DEFAULT_PREEMPTION) ERR;
if (nc_close(ncid)) ERR;
/* Open the file with sequential I/O and check cache settings
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* on processor 0. Now, instead of being set to the HDF5
* defaults, the chunk settings are set to the netCDF
* defaults. */
if (!mpi_rank)
{
if (nc_open(FILE, 0, &ncid)) ERR;
if (nc4_hdf5_get_chunk_cache(ncid, &size, &nelems, &preemption)) ERR;
if (size != CHUNK_CACHE_SIZE || nelems != CHUNK_CACHE_NELEMS ||
preemption != CHUNK_CACHE_PREEMPTION) ERR;
if (nc_close(ncid)) ERR;
}
nc_set_log_level(0);
}
if (!mpi_rank)
SUMMARIZE_ERR;
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#ifdef USE_SZIP
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#ifdef HDF5_SUPPORTS_PAR_FILTERS
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#define SZIP_DIM_LEN 256
#define SZIP_DIM_NAME "Barrels"
#define SZIP_VAR_NAME "Best_Sligo_Rags"
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#define SZIP_PIXELS_PER_BLOCK 32
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if (!mpi_rank)
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printf("*** testing szip compression with parallel I/O...");
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{
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int ncid, dimid, varid;
float *data;
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float *data_in;
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int elements_per_pe = SZIP_DIM_LEN/mpi_size;
size_t start[NDIMS1], count[NDIMS1];
int i;
/* Create test data. */
if (!(data = malloc(elements_per_pe * sizeof(float)))) ERR;
for (i = 0; i < elements_per_pe; i++)
data[i] = mpi_rank + i * 0.1;
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/* Crate a file with a scalar NC_BYTE value. */
if (nc_create_par(FILE, NC_NETCDF4, MPI_COMM_WORLD, MPI_INFO_NULL,
&ncid)) ERR;
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if (nc_def_dim(ncid, SZIP_DIM_NAME, SZIP_DIM_LEN, &dimid)) ERR;
if (nc_def_var(ncid, SZIP_VAR_NAME, NC_FLOAT, NDIMS1, &dimid, &varid)) ERR;
if (nc_def_var_szip(ncid, varid, H5_SZIP_NN_OPTION_MASK,
SZIP_PIXELS_PER_BLOCK)) ERR;
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if (nc_enddef(ncid)) ERR;
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start[0] = mpi_rank * elements_per_pe;
count[0] = elements_per_pe;
if (nc_put_vara_float(ncid, varid, start, count, data)) ERR;
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if (nc_close(ncid)) ERR;
/* Reopen the file and check. */
if (nc_open_par(FILE, 0, comm, info, &ncid)) ERR;
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if (!(data_in = malloc(elements_per_pe * sizeof(float)))) ERR;
if (nc_get_vara_float(ncid, varid, start, count, data_in)) ERR;
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if (nc_close(ncid)) ERR;
for (i = 0; i < elements_per_pe; i++)
if (data_in[i] != data[i]) ERR;
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/* Release resources. */
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free(data_in);
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free(data);
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}
if (!mpi_rank)
SUMMARIZE_ERR;
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#endif /* HDF5_SUPPORTS_PAR_FILTERS */
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.
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#endif /* USE_SZIP */
#ifdef USE_SZIP
#ifdef HDF5_SUPPORTS_PAR_FILTERS
#define SZIP_DIM_LEN 256
#define SZIP_DIM_NAME "Barrels"
#define SZIP_VAR_NAME "Best_Sligo_Rags"
#define SZIP_PIXELS_PER_BLOCK 32
if (!mpi_rank)
printf("*** testing szip compression with parallel I/O...");
{
int ncid, dimid, varid;
float *data;
float *data_in;
int elements_per_pe = SZIP_DIM_LEN/mpi_size;
size_t start[NDIMS1], count[NDIMS1];
int i;
/* Create test data. */
if (!(data = malloc(elements_per_pe * sizeof(float)))) ERR;
for (i = 0; i < elements_per_pe; i++)
data[i] = mpi_rank + i * 0.1;
/* Crate a file with a scalar NC_BYTE value. */
if (nc_create_par(FILE, NC_NETCDF4, MPI_COMM_WORLD, MPI_INFO_NULL,
&ncid)) ERR;
if (nc_def_dim(ncid, SZIP_DIM_NAME, SZIP_DIM_LEN, &dimid)) ERR;
if (nc_def_var(ncid, SZIP_VAR_NAME, NC_FLOAT, NDIMS1, &dimid, &varid)) ERR;
if (nc_def_var_szip(ncid, varid, NC_SZIP_NN, SZIP_PIXELS_PER_BLOCK)) ERR;
if (nc_enddef(ncid)) ERR;
start[0] = mpi_rank * elements_per_pe;
count[0] = elements_per_pe;
if (nc_put_vara_float(ncid, varid, start, count, data));
if (nc_close(ncid)) ERR;
/* Reopen the file and check. */
if (nc_open_par(FILE, 0, comm, info, &ncid)) ERR;
if (!(data_in = malloc(elements_per_pe * sizeof(float)))) ERR;
if (nc_get_vara_float(ncid, varid, start, count, data_in));
if (nc_close(ncid)) ERR;
for (i = 0; i < elements_per_pe; i++)
if (data_in[i] != data[i]) ERR;
/* Release resources. */
free(data_in);
free(data);
}
if (!mpi_rank)
SUMMARIZE_ERR;
#endif /* HDF5_SUPPORTS_PAR_FILTERS */
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#endif /* USE_SZIP */
/* Shut down MPI. */
MPI_Finalize();
if (!mpi_rank)
FINAL_RESULTS;
return 0;
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}