Added plain BSM and MDSP BSM benchmark

1 files changed, 134 insertions, 0 deletions

diff --git a/benchmarks/include/triespline_bsm.h b/benchmarks/include/triespline_bsm.h
new file mode 100644
index 0000000..9613a62
--- /dev/null
+++ b/benchmarks/include/triespline_bsm.h
@@ -0,0 +1,134 @@
+#pragma once
+
+#include <cstdlib>
+#include <vector>
+#include "ts/builder.h"
+
+template <typename K, typename V, size_t E=1024>
+class BSMTrieSpline {
+private:
+    typedef std::pair<K, V> R;
+
+public:
+    struct RangeQueryParameters {
+        K lower_bound;
+        K upper_bound;
+    };
+
+public:
+    static BSMTrieSpline *build(std::vector<R> &records) {
+        std::sort(records.begin(), records.end());
+        return new BSMTrieSpline(records);
+    }
+
+    static BSMTrieSpline *build_presorted(std::vector<R> &records) {
+        return new BSMTrieSpline(records);
+    }
+
+    std::vector<R> unbuild() {
+        return std::move(m_data);
+    }
+
+    std::vector<R> query(void *q) {
+        std::vector<R> rs;
+
+        /* return an empty result set if q is invalid */
+        if (q == nullptr) {
+            return rs;
+        }
+
+        auto parms = (BSMTrieSpline::RangeQueryParameters*) q;
+
+        size_t idx = lower_bound(parms->lower_bound);
+
+        while (idx < m_data.size() && m_data[idx].first < parms->upper_bound) {
+            rs.emplace_back(m_data[idx++]);
+        }
+
+        return std::move(rs);
+    }
+
+    std::vector<R> query_merge(std::vector<R> &rsa, std::vector<R> &rsb) {
+        rsa.insert(rsa.end(), rsb.begin(), rsb.end());
+        return std::move(rsa);
+    }
+
+    size_t record_count() {
+        return m_data.size();
+    }
+
+
+    ~BSMTrieSpline() = default;
+
+
+private:
+    std::vector<R> m_data;
+    K m_max_key;
+    K m_min_key;
+    ts::TrieSpline<K> m_ts;
+
+    BSMTrieSpline(std::vector<R> &records) {
+        m_data = std::move(records);
+        m_min_key = m_data[0].first;
+        m_max_key = m_data[m_data.size() - 1].first;
+
+        auto bldr = ts::Builder<K>(m_min_key, m_max_key, E);
+        for (size_t i=0; i<m_data.size(); i++) {
+            bldr.AddKey(m_data[i].first);
+        }
+
+        if (m_data.size() > 1) {
+            m_ts = bldr.Finalize();
+        }
+    }
+
+    size_t lower_bound(K key) {
+        if (m_data.size() == 0) {
+            return 1;
+        } else if (m_data.size() == 1) {
+            if (m_data[0].first < key) {
+                return 1;
+            } else {
+                return 0;
+            }
+        }
+
+        auto bound = m_ts.GetSearchBound(key);
+        size_t idx = bound.begin;
+
+        if (idx >= m_data.size()) {
+            return m_data.size();
+        }
+
+        // If the region to search is less than some pre-specified
+        // amount, perform a linear scan to locate the record.
+        if (bound.end - bound.begin < 256) {
+            while (idx < bound.end && m_data[idx].first < key) {
+                idx++;
+            }
+        } else {
+            // Otherwise, perform a binary search
+            idx = bound.begin;
+            size_t max = bound.end;
+
+            while (idx < max) {
+                size_t mid = (idx + max) / 2;
+                if (key > m_data[mid].first) {
+                    idx = mid + 1;
+                } else {
+                    max = mid;
+                }
+            }
+        }
+
+        if (idx == m_data.size()) {
+            return m_data.size();
+        }
+
+        if (m_data[idx].first > key && idx > 0 && m_data[idx-1].first <= key) {
+            return idx-1;
+        }
+
+        return idx;
+    }
+};