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authorDouglas Rumbaugh <dbr4@psu.edu>2024-01-30 15:31:03 -0500
committerDouglas Rumbaugh <dbr4@psu.edu>2024-01-30 15:31:03 -0500
commitf24fdf2fd310a5f868e15cd9682ca37d740c77af (patch)
treeb637160ce464dc05104e4ce2968e0568f550567c /benchmarks/old-bench
parent4aa907d6275b1b74be87ed2f2e94d8a2719a6a97 (diff)
downloaddynamic-extension-f24fdf2fd310a5f868e15cd9682ca37d740c77af.tar.gz
Benchmarking updates
Diffstat (limited to 'benchmarks/old-bench')
-rw-r--r--benchmarks/old-bench/include/bench.h162
-rw-r--r--benchmarks/old-bench/include/bench_utility.h181
-rw-r--r--benchmarks/old-bench/include/standalone_utility.h240
3 files changed, 583 insertions, 0 deletions
diff --git a/benchmarks/old-bench/include/bench.h b/benchmarks/old-bench/include/bench.h
new file mode 100644
index 0000000..586ff12
--- /dev/null
+++ b/benchmarks/old-bench/include/bench.h
@@ -0,0 +1,162 @@
+/*
+ * benchmarks/include/bench.h
+ *
+ * Copyright (C) 2023 Douglas Rumbaugh <drumbaugh@psu.edu>
+ *
+ * All rights reserved. Published under the Modified BSD License.
+ *
+ */
+#pragma once
+
+#include "bench_utility.h"
+
+template <typename DE, de::RecordInterface R, bool PROGRESS=true, size_t BATCH=1000>
+static bool insert_tput_bench(DE &de_index, std::fstream &file, size_t insert_cnt,
+ double delete_prop, std::vector<R> &to_delete, bool binary=false) {
+
+ size_t delete_cnt = insert_cnt * delete_prop;
+
+ size_t applied_deletes = 0;
+ size_t applied_inserts = 0;
+
+ std::vector<R> insert_vec;
+ std::vector<R> 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);
+ if (applied_deletes < delete_cnt) {
+ build_delete_vec(to_delete, delete_vec, BATCH*delete_prop);
+ delete_idx = 0;
+ }
+
+ if (insert_vec.size() == 0) {
+ break;
+ }
+
+ if constexpr (PROGRESS) {
+ progress_update((double) applied_inserts / (double) insert_cnt, "inserting:");
+ }
+
+ 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) {
+ if constexpr (std::is_same_v<TreeMap, DE>) {
+ de_index.erase_one(delete_vec[delete_idx++].key);
+ } else if constexpr (std::is_same_v<MTree, DE>) {
+ de_index.remove(delete_vec[delete_idx++]);
+ } else {
+ de_index.erase(delete_vec[delete_idx++]);
+ }
+ applied_deletes++;
+ }
+
+ // insert the record;
+ if constexpr (std::is_same_v<MTree, DE>) {
+ de_index.add(insert_vec[i]);
+ } else {
+ de_index.insert(insert_vec[i]);
+ }
+ 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();
+ }
+
+ if constexpr (PROGRESS) {
+ progress_update(1.0, "inserting:");
+ }
+
+ size_t throughput = (((double) (applied_inserts + applied_deletes) / (double) total_time) * 1e9);
+
+ fprintf(stdout, "%ld\t", throughput);
+ reset_de_perf_metrics();
+
+ return continue_benchmark;
+}
+
+template <typename DE, de::RecordInterface R, typename QP, bool PROGRESS=true>
+static bool query_latency_bench(DE &de_index, std::vector<QP> queries, size_t trial_cnt=1) {
+ char progbuf[25];
+ if constexpr (PROGRESS) {
+ sprintf(progbuf, "querying:");
+ }
+
+ size_t total_time = 0;
+ size_t total_results = 0;
+
+ for (size_t i=0; i<trial_cnt; i++) {
+ if constexpr (PROGRESS) {
+ progress_update((double) (i) / (double) trial_cnt, progbuf);
+ }
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t j=0; j<queries.size(); j++) {
+ auto res = de_index.query(&queries[j]);
+
+ total_results += res.size();
+ }
+ auto stop = std::chrono::high_resolution_clock::now();
+
+ total_time += std::chrono::duration_cast<std::chrono::nanoseconds>(stop - start).count();
+ }
+
+ progress_update(1.0, progbuf);
+
+ size_t query_latency = total_time / (trial_cnt * queries.size());
+
+ fprintf(stdout, "%ld\t", query_latency);
+ fflush(stdout);
+
+ return true;
+}
+
+
+template <typename Shard, de::RecordInterface R, typename QP, QueryInterface Q, bool PROGRESS=true>
+static bool static_latency_bench(Shard *shard, std::vector<QP> queries, size_t trial_cnt=100) {
+ char progbuf[25];
+ if constexpr (PROGRESS) {
+ sprintf(progbuf, "querying:");
+ }
+
+ size_t total_time = 0;
+ size_t total_results = 0;
+
+ for (size_t i=0; i<trial_cnt; i++) {
+ if constexpr (PROGRESS) {
+ progress_update((double) (i) / (double) trial_cnt, progbuf);
+ }
+
+ std::vector<void *> states(1);
+
+ auto start = std::chrono::high_resolution_clock::now();
+ for (size_t j=0; j<queries.size(); j++) {
+ states[0] = Q::get_query_state(shard, &queries[j]);
+ Q::process_query_states(&queries[j], states, nullptr);
+ auto res = Q::query(shard, states[0], &queries[j]);
+ total_results += res.size();
+ Q::delete_query_state(states[0]);
+ }
+ auto stop = std::chrono::high_resolution_clock::now();
+
+ total_time += std::chrono::duration_cast<std::chrono::nanoseconds>(stop - start).count();
+ }
+
+ progress_update(1.0, progbuf);
+
+ size_t query_latency = total_time / (trial_cnt * queries.size());
+
+ fprintf(stdout, "%ld\t", query_latency);
+ fflush(stdout);
+
+ return true;
+}
diff --git a/benchmarks/old-bench/include/bench_utility.h b/benchmarks/old-bench/include/bench_utility.h
new file mode 100644
index 0000000..e33b93d
--- /dev/null
+++ b/benchmarks/old-bench/include/bench_utility.h
@@ -0,0 +1,181 @@
+/*
+ * benchmarks/include/bench_utility.h
+ *
+ * Copyright (C) 2023 Douglas Rumbaugh <drumbaugh@psu.edu>
+ *
+ * All rights reserved. Published under the Modified BSD License.
+ *
+ */
+#pragma once
+
+#include "framework/DynamicExtension.h"
+#include "shard/WSS.h"
+#include "shard/MemISAM.h"
+#include "shard/PGM.h"
+#include "shard/TrieSpline.h"
+#include "shard/WIRS.h"
+#include "ds/BTree.h"
+#include "shard/VPTree.h"
+#include "mtree.h"
+#include "standalone_utility.h"
+
+#include <cstdlib>
+#include <cstdio>
+#include <chrono>
+#include <algorithm>
+#include <numeric>
+#include <memory>
+#include <iostream>
+#include <fstream>
+#include <sstream>
+#include <unordered_set>
+#include <set>
+#include <string>
+#include <random>
+
+typedef uint64_t key_type;
+typedef uint64_t value_type;
+typedef uint64_t weight_type;
+
+typedef de::WeightedRecord<key_type, value_type, weight_type> WRec;
+typedef de::Record<key_type, value_type> Rec;
+
+const size_t W2V_SIZE = 300;
+typedef de::EuclidPoint<double, W2V_SIZE> Word2VecRec;
+
+typedef de::DynamicExtension<WRec, de::WSS<WRec>, de::WSSQuery<WRec>> ExtendedWSS;
+typedef de::DynamicExtension<Rec, de::TrieSpline<Rec>, de::TrieSplineRangeQuery<Rec>> ExtendedTSRQ;
+typedef de::DynamicExtension<Rec, de::PGM<Rec>, de::PGMRangeQuery<Rec>> ExtendedPGMRQ;
+typedef de::DynamicExtension<Rec, de::PGM<Rec>, de::PGMPointLookup<Rec>> ExtendedPGM_PL;
+typedef de::DynamicExtension<Rec, de::MemISAM<Rec>, de::IRSQuery<Rec>> ExtendedISAM_IRS;
+typedef de::DynamicExtension<Rec, de::MemISAM<Rec>, de::ISAMRangeQuery<Rec>> ExtendedISAM_RQ;
+typedef de::DynamicExtension<Word2VecRec, de::VPTree<Word2VecRec>, de::KNNQuery<Word2VecRec>> ExtendedVPTree_KNN;
+
+struct euclidean_distance {
+ double operator()(const Word2VecRec &first, const Word2VecRec &second) const {
+ double dist = 0;
+ for (size_t i=0; i<W2V_SIZE; i++) {
+ dist += (first.data[i] - second.data[i]) * (first.data[i] - second.data[i]);
+ }
+
+ return std::sqrt(dist);
+ }
+};
+
+
+struct cosine_similarity {
+ double operator()(const Word2VecRec &first, const Word2VecRec &second) const {
+ double prod = 0;
+ double asquared = 0;
+ double bsquared = 0;
+
+ for (size_t i=0; i<W2V_SIZE; i++) {
+ prod += first.data[i] * second.data[i];
+ asquared += first.data[i]*first.data[i];
+ bsquared += second.data[i]*second.data[i];
+ }
+
+ return prod / std::sqrt(asquared * bsquared);
+ }
+};
+
+typedef tlx::BTree<key_type, btree_record, btree_key_extract> TreeMap;
+typedef mt::mtree<Word2VecRec, euclidean_distance> MTree;
+
+template <de::RecordInterface 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 constexpr (std::is_same_v<R, Word2VecRec>) {
+ if (!next_vector_record(file, rec)) {
+ if (i == 0) {
+ return false;
+ }
+
+ break;
+ }
+ } else {
+ 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;
+}
+
+
+template <typename DE, de::RecordInterface R>
+static bool warmup(std::fstream &file, DE &extended_index, size_t count,
+ double delete_prop, std::vector<R> to_delete, bool progress=true, bool binary=false) {
+ size_t batch = std::min(.1 * count, 25000.0);
+
+ std::vector<R> insert_vec;
+ std::vector<R> 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(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) {
+ if constexpr (std::is_same_v<TreeMap, DE>) {
+ extended_index.erase_one(delete_vec[delete_idx++].key);
+ }
+ else if constexpr (std::is_same_v<MTree, DE>) {
+ extended_index.remove(delete_vec[delete_idx++]);
+ } else {
+ extended_index.erase(delete_vec[delete_idx++]);
+ }
+ }
+
+ // insert the record;
+ if constexpr (std::is_same_v<MTree, DE>) {
+ extended_index.add(insert_vec[i]);
+ } else {
+ extended_index.insert(insert_vec[i]);
+ }
+ inserted++;
+
+ if (progress) {
+ progress_update((double) inserted / (double) count, "warming up:");
+ }
+ }
+ }
+
+ return true;
+}
+
+
+static void reset_de_perf_metrics() {
+
+ /*
+ * rejection counters are zeroed automatically by the
+ * sampling function itself.
+ */
+
+ RESET_IO_CNT();
+}
diff --git a/benchmarks/old-bench/include/standalone_utility.h b/benchmarks/old-bench/include/standalone_utility.h
new file mode 100644
index 0000000..727daa5
--- /dev/null
+++ b/benchmarks/old-bench/include/standalone_utility.h
@@ -0,0 +1,240 @@
+#include <cstdlib>
+#include <cstdio>
+#include <iostream>
+#include <fstream>
+#include <sstream>
+#include <string>
+#include <gsl/gsl_rng.h>
+#include <cstring>
+#include <vector>
+
+typedef uint64_t key_type;
+typedef uint64_t value_type;
+typedef uint64_t weight_type;
+
+static gsl_rng *g_rng;
+static bool g_osm_data;
+
+struct btree_record {
+ key_type key;
+ value_type value;
+
+ inline bool operator<(const btree_record& other) const {
+ return key < other.key || (key == other.key && value < other.value);
+ }
+
+ inline bool operator==(const btree_record& other) const {
+ return key == other.key && value == other.value;
+ }
+};
+
+struct btree_key_extract {
+ static const key_type &get(const btree_record &v) {
+ return v.key;
+ }
+};
+
+static key_type g_min_key = UINT64_MAX;
+static key_type g_max_key = 0;
+
+static size_t g_max_record_cnt = 0;
+static size_t g_reccnt = 0;
+
+static constexpr unsigned int DEFAULT_SEED = 0;
+
+static unsigned int get_random_seed()
+{
+ unsigned int seed = 0;
+ std::fstream urandom;
+ urandom.open("/dev/urandom", std::ios::in|std::ios::binary);
+ urandom.read((char *) &seed, sizeof(seed));
+ urandom.close();
+
+ return seed;
+}
+
+static key_type osm_to_key(const char *key_field) {
+ double tmp_key = (atof(key_field) + 180) * 10e6;
+ return (key_type) tmp_key;
+}
+
+static void init_bench_rng(unsigned int seed, const gsl_rng_type *type)
+{
+ g_rng = gsl_rng_alloc(type);
+ gsl_rng_set(g_rng, seed);
+}
+
+static void init_bench_env(size_t max_reccnt, bool random_seed, bool osm_correction=true)
+{
+ unsigned int seed = (random_seed) ? get_random_seed() : DEFAULT_SEED;
+ init_bench_rng(seed, gsl_rng_mt19937);
+ g_osm_data = osm_correction;
+ g_max_record_cnt = max_reccnt;
+ g_reccnt = 0;
+}
+
+static void delete_bench_env()
+{
+ gsl_rng_free(g_rng);
+}
+
+
+template <typename QP>
+static std::vector<QP> read_lookup_queries(std::string fname, double selectivity) {
+ std::vector<QP> queries;
+
+ FILE *qf = fopen(fname.c_str(), "r");
+ size_t start, stop;
+ double sel;
+ while (fscanf(qf, "%zu%zu%lf\n", &start, &stop, &sel) != EOF) {
+ if (start < stop && std::abs(sel - selectivity) < 0.1) {
+ QP q;
+ q.target_key = start;
+ queries.push_back(q);
+ }
+ }
+ fclose(qf);
+
+ return queries;
+}
+
+template <typename QP>
+static std::vector<QP> read_range_queries(std::string fname, double selectivity) {
+ std::vector<QP> queries;
+
+ FILE *qf = fopen(fname.c_str(), "r");
+ size_t start, stop;
+ double sel;
+ while (fscanf(qf, "%zu%zu%lf\n", &start, &stop, &sel) != EOF) {
+ if (start < stop && std::abs(sel - selectivity) < 0.1) {
+ QP q;
+ q.lower_bound = start;
+ q.upper_bound = stop;
+ queries.push_back(q);
+ }
+ }
+ fclose(qf);
+
+ return queries;
+}
+
+template <typename QP>
+static std::vector<QP> read_knn_queries(std::string fname, size_t k) {
+ std::vector<QP> queries;
+
+ FILE *qf = fopen(fname.c_str(), "r");
+ char *line = NULL;
+ size_t len = 0;
+
+ while (getline(&line, &len, qf) > 0) {
+ char *token;
+ QP query;
+ size_t idx = 0;
+
+ token = strtok(line, " ");
+ do {
+ query.point.data[idx++] = atof(token);
+ } while ((token = strtok(NULL, " ")));
+
+ query.k = k;
+ queries.emplace_back(query);
+ }
+
+ free(line);
+ fclose(qf);
+
+ return queries;
+}
+
+/*
+ * NOTE: The QP type must have lower_bound and upper_bound attributes, which
+ * this function will initialize. Any other query parameter attributes must
+ * be manually initialized after the call.
+ */
+template <typename R>
+static bool next_vector_record(std::fstream &file, R &record, bool binary=false) {
+ std::string line;
+ if (std::getline(file, line, '\n')) {
+ std::stringstream line_stream(line);
+ for (size_t i=0; i<300; i++) {
+ std::string dimension;
+
+ std::getline(line_stream, dimension, ' ');
+ record.data[i] = atof(dimension.c_str());
+ }
+
+ g_reccnt++;
+
+ return true;
+ }
+
+ return false;
+
+}
+
+template <typename R>
+static bool next_record(std::fstream &file, R &record, bool binary=false)
+{
+ static value_type value = 1;
+ if (g_reccnt >= g_max_record_cnt) return false;
+
+ if (binary) {
+ if (file.good()) {
+ decltype(R::key) key;
+
+ file.read((char*) &key, sizeof(key));
+ record.key = key;
+ record.value = value;
+ value++;
+
+ if (record.key < g_min_key) g_min_key = record.key;
+ if (record.key > g_max_key) g_max_key = record.key;
+
+ return true;
+ }
+
+ return false;
+ }
+
+ std::string line;
+ if (std::getline(file, line, '\n')) {
+ std::stringstream line_stream(line);
+ std::string key_field;
+ std::string value_field;
+ std::string weight_field;
+
+ std::getline(line_stream, value_field, '\t');
+ std::getline(line_stream, key_field, '\t');
+ std::getline(line_stream, weight_field, '\t');
+
+ record.key = (g_osm_data) ? osm_to_key(key_field.c_str()) : atol(key_field.c_str());
+ record.value = atol(value_field.c_str());
+
+ if (record.key < g_min_key) g_min_key = record.key;
+ if (record.key > g_max_key) g_max_key = record.key;
+
+ g_reccnt++;
+
+ return true;
+ }
+
+ return false;
+}
+
+template <typename R>
+static bool build_delete_vec(std::vector<R> &to_delete, std::vector<R> &vec, size_t n) {
+ vec.clear();
+
+ size_t cnt = 0;
+ while (cnt < n) {
+ if (to_delete.size() == 0) {
+ return false;
+ }
+
+ auto i = gsl_rng_uniform_int(g_rng, to_delete.size());
+ vec.emplace_back(to_delete[i]);
+ to_delete.erase(to_delete.begin() + i);
+ }
+td:
+ return true;
+}