diff options
| author | Douglas Rumbaugh <dbr4@psu.edu> | 2023-07-26 09:34:23 -0400 |
|---|---|---|
| committer | Douglas Rumbaugh <dbr4@psu.edu> | 2023-07-26 09:34:41 -0400 |
| commit | 8e86ca7ce7823bbdb1e71c329ae1bd564c0d54fb (patch) | |
| tree | c53460c5ef125ac44310346593193a226fd7b07b /benchmarks | |
| parent | df792874721e64ffcd16264acf1510b9f04d4e5d (diff) | |
| download | dynamic-extension-8e86ca7ce7823bbdb1e71c329ae1bd564c0d54fb.tar.gz | |
Updatable PGM benchmark
Diffstat (limited to 'benchmarks')
| -rw-r--r-- | benchmarks/upgm_rq_bench.cpp | 213 |
1 files changed, 213 insertions, 0 deletions
diff --git a/benchmarks/upgm_rq_bench.cpp b/benchmarks/upgm_rq_bench.cpp new file mode 100644 index 0000000..e50d897 --- /dev/null +++ b/benchmarks/upgm_rq_bench.cpp @@ -0,0 +1,213 @@ +#include "pgm/pgm_index_dynamic.hpp" +#include "include/standalone_utility.h" + +typedef uint64_t key_type; +typedef uint64_t value_type; + +typedef pgm::DynamicPGMIndex<key_type, value_type> PGM; + +struct record { + key_type key; + value_type value; +}; + +struct query { + key_type lower_bound; + key_type upper_bound; +}; + +template <typename R> +static bool build_insert_vec(std::fstream &file, std::vector<R> &vec, size_t n, + double delete_prop, std::vector<R> &to_delete, bool binary=false) { + vec.clear(); + for (size_t i=0; i<n; i++) { + R rec; + if (!next_record(file, rec, binary)) { + if (i == 0) { + return false; + } + + break; + } + + vec.emplace_back(rec); + + if (gsl_rng_uniform(g_rng) < delete_prop + (delete_prop * .1)) { + to_delete.emplace_back(rec); + } + } + + return true; +} + + +static bool warmup(std::fstream &file, PGM &pgm, size_t count, + double delete_prop, std::vector<record> to_delete, bool progress=true, bool binary=false) { + size_t batch = std::min(.1 * count, 25000.0); + + std::vector<record> insert_vec; + std::vector<record> delete_vec; + insert_vec.reserve(batch); + delete_vec.reserve(batch*delete_prop); + + size_t inserted = 0; + size_t delete_idx = 0; + + double last_percent = 0; + while (inserted < count) { + // Build vector of records to insert and potentially delete + auto continue_warmup = build_insert_vec<record>(file, insert_vec, batch, delete_prop, to_delete, binary); + if (inserted > batch) { + build_delete_vec(to_delete, delete_vec, batch*delete_prop); + delete_idx = 0; + } + + for (size_t i=0; i<insert_vec.size(); i++) { + // process a delete if necessary + if (delete_idx < delete_vec.size() && gsl_rng_uniform(g_rng) < delete_prop) { + pgm.erase(delete_vec[delete_idx++].key); + } + + pgm.insert_or_assign(insert_vec[i].key, insert_vec[i].value); + inserted++; + progress_update((double) inserted / (double) count, "warming up:"); + } + } + + return true; +} + + +static void pgm_rq_insert(PGM &pgm, std::fstream &file, size_t insert_cnt, double delete_prop, std::vector<record> &to_delete, bool binary=false) { + size_t delete_cnt = insert_cnt * delete_prop; + + size_t applied_deletes = 0; + size_t applied_inserts = 0; + + size_t BATCH=1000; + + std::vector<record> insert_vec; + std::vector<record> delete_vec; + insert_vec.reserve(BATCH); + delete_vec.reserve(BATCH*delete_prop); + + size_t delete_idx = 0; + + bool continue_benchmark = true; + + size_t total_time = 0; + + while (applied_inserts < insert_cnt && continue_benchmark) { + continue_benchmark = build_insert_vec(file, insert_vec, BATCH, delete_prop, to_delete, binary); + progress_update((double) applied_inserts / (double) insert_cnt, "inserting:"); + if (applied_deletes < delete_cnt) { + build_delete_vec(to_delete, delete_vec, BATCH*delete_prop); + delete_idx = 0; + } + + if (insert_vec.size() == 0) { + break; + } + + auto insert_start = std::chrono::high_resolution_clock::now(); + for (size_t i=0; i<insert_vec.size(); i++) { + // process a delete if necessary + if (applied_deletes < delete_cnt && delete_idx < delete_vec.size() && gsl_rng_uniform(g_rng) < delete_prop) { + pgm.erase(delete_vec[delete_idx++].key); + applied_deletes++; + } + + // insert the record; + pgm.insert_or_assign(insert_vec[i].key, insert_vec[i].value); + applied_inserts++; + } + auto insert_stop = std::chrono::high_resolution_clock::now(); + + total_time += std::chrono::duration_cast<std::chrono::nanoseconds>(insert_stop - insert_start).count(); + } + + progress_update(1.0, "inserting:"); + + size_t throughput = (((double) (applied_inserts + applied_deletes) / (double) total_time) * 1e9); + + fprintf(stdout, "%ld\t", throughput); +} + + + +static void pgm_rq_bench(PGM &pgm, std::vector<query> queries, size_t trial_cnt=1) +{ + char progbuf[25]; + sprintf(progbuf, "sampling:"); + + size_t batch_size = 100; + size_t batches = trial_cnt / batch_size; + size_t total_time = 0; + + std::vector<record> result_set; + + for (int i=0; i<trial_cnt; i++) { + auto start = std::chrono::high_resolution_clock::now(); + for (size_t j=0; j<queries.size(); j++) { + auto ptr = pgm.find(queries[j].lower_bound); + while (ptr != pgm.end() && ptr->first <= queries[j].upper_bound) { + result_set.push_back({ptr->first, ptr->second}); + ++ptr; + } + result_set.clear(); + } + auto stop = std::chrono::high_resolution_clock::now(); + + total_time += std::chrono::duration_cast<std::chrono::nanoseconds>(stop - start).count(); + } + + size_t latency = total_time / (trial_cnt * queries.size()); + + fprintf(stdout, "%ld\t", latency); +} + +int main(int argc, char **argv) +{ + if (argc < 5) { + fprintf(stderr, "Usage: upgm_rq_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]); + + double insert_batch = 0.1; + + init_bench_env(record_count, true); + auto queries = read_range_queries<query>(qfilename, .0001); + + std::vector<std::pair<key_type, value_type>> data; + PGM pgm(data.begin(), data.end()); + + std::fstream datafile; + datafile.open(filename, std::ios::in | std::ios::binary); + + std::vector<record> to_delete; + + // warm up the tree with initial_insertions number of initially inserted + // records + size_t warmup_cnt = insert_batch * record_count; + warmup(datafile, pgm, warmup_cnt, delete_prop, to_delete, true, true); + + size_t insert_cnt = record_count - warmup_cnt; + + pgm_rq_insert(pgm, datafile, insert_cnt, delete_prop, to_delete, true); + size_t memory_usage = pgm.size_in_bytes(); + fprintf(stdout, "%ld\t", memory_usage); + + pgm_rq_bench(pgm, queries); + fprintf(stdout, "\n"); + + delete_bench_env(); + fflush(stdout); + fflush(stderr); + + exit(EXIT_SUCCESS); +} |