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#include "include/bench.h"
#include "mtree.h"
int main(int argc, char **argv)
{
if (argc < 5) {
fprintf(stderr, "Usage: mtree_knn_bench <filename> <record_count> <delete_proportion> <query_file>\n");
exit(EXIT_FAILURE);
}
std::string filename = std::string(argv[1]);
size_t record_count = atol(argv[2]);
double delete_prop = atof(argv[3]);
std::string qfilename = std::string(argv[4]);
size_t buffer_cap = 12000;
size_t scale_factor = 6;
double max_delete_prop = delete_prop;
double insert_batch = 0.1;
init_bench_env(record_count, true);
auto queries = read_knn_queries<de::KNNQueryParms<Word2VecRec>>(qfilename, 50);
auto mtree = MTree();
std::fstream datafile;
datafile.open(filename, std::ios::in | std::ios::binary);
std::vector<Word2VecRec> to_delete;
// warm up the tree with initial_insertions number of initially inserted
// records
size_t warmup_cnt = insert_batch * record_count;
warmup<MTree, Word2VecRec>(datafile, mtree, warmup_cnt, delete_prop, to_delete, true, true);
size_t insert_cnt = record_count - warmup_cnt;
insert_tput_bench<MTree, Word2VecRec>(mtree, datafile, insert_cnt, delete_prop, to_delete, true);
//fprintf(stdout, "%ld\t", mtree.get_memory_usage());
// query_latency_bench<MTree, Word2VecRec, de::KNNQueryParms<Word2VecRec>>(mtree, queries);
// fprintf(stdout, "\n");
delete_bench_env();
fflush(stdout);
fflush(stderr);
exit(EXIT_SUCCESS);
}
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