From 8e86ca7ce7823bbdb1e71c329ae1bd564c0d54fb Mon Sep 17 00:00:00 2001
From: Douglas Rumbaugh <dbr4@psu.edu>
Date: Wed, 26 Jul 2023 09:34:23 -0400
Subject: Updatable PGM benchmark

---
 benchmarks/upgm_rq_bench.cpp | 213 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 213 insertions(+)
 create mode 100644 benchmarks/upgm_rq_bench.cpp

(limited to 'benchmarks/upgm_rq_bench.cpp')

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);
+}
-- 
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