Consolidate Index Constructors

apps/build_memory_index.cpp

@@ -22,50 +22,6 @@
 
 namespace po = boost::program_options;
 
-template <typename T, typename TagT = uint32_t, typename LabelT = uint32_t>
-int build_in_memory_index(const diskann::Metric &metric, const std::string &data_path, const uint32_t R,
-                          const uint32_t L, const float alpha, const std::string &save_path, const uint32_t num_threads,
-                          const bool use_pq_build, const size_t num_pq_bytes, const bool use_opq,
-                          const std::string &label_file, const std::string &universal_label, const uint32_t Lf)
-{
-    diskann::IndexWriteParameters paras = diskann::IndexWriteParametersBuilder(L, R)
-                                              .with_filter_list_size(Lf)
-                                              .with_alpha(alpha)
-                                              .with_saturate_graph(false)
-                                              .with_num_threads(num_threads)
-                                              .build();
-    std::string labels_file_to_use = save_path + "_label_formatted.txt";
-    std::string mem_labels_int_map_file = save_path + "_labels_map.txt";
-
-    size_t data_num, data_dim;
-    diskann::get_bin_metadata(data_path, data_num, data_dim);
-
-    diskann::Index<T, TagT, LabelT> index(metric, data_dim, data_num, false, false, false, use_pq_build, num_pq_bytes,
-                                          use_opq);
-    auto s = std::chrono::high_resolution_clock::now();
-    if (label_file == "")
-    {
-        index.build(data_path.c_str(), data_num, paras);
-    }
-    else
-    {
-        convert_labels_string_to_int(label_file, labels_file_to_use, mem_labels_int_map_file, universal_label);
-        if (universal_label != "")
-        {
-            LabelT unv_label_as_num = 0;
-            index.set_universal_label(unv_label_as_num);
-        }
-        index.build_filtered_index(data_path.c_str(), labels_file_to_use, data_num, paras);
-    }
-    std::chrono::duration<double> diff = std::chrono::high_resolution_clock::now() - s;
-
-    std::cout << "Indexing time: " << diff.count() << "\n";
-    index.save(save_path.c_str());
-    if (label_file != "")
-        std::remove(labels_file_to_use.c_str());
-    return 0;
-}
-
 int main(int argc, char **argv)
 {
     std::string data_type, dist_fn, data_path, index_path_prefix, label_file, universal_label, label_type;

apps/build_stitched_index.cpp

@@ -285,7 +285,7 @@ void prune_and_save(path final_index_path_prefix, path full_index_path_prefix, p
     auto pruning_index_timer = std::chrono::high_resolution_clock::now();
 
     diskann::get_bin_metadata(input_data_path, number_of_label_points, dimension);
-    diskann::Index<T> index(diskann::Metric::L2, dimension, number_of_label_points, false, false);
+    diskann::Index<T> index(diskann::Metric::L2, dimension, number_of_label_points, nullptr, nullptr, 0, false, false);
 
     // not searching this index, set search_l to 0
     index.load(full_index_path_prefix.c_str(), num_threads, 1);

apps/test_insert_deletes_consolidate.cpp

@@ -152,14 +152,14 @@ void build_incremental_index(const std::string &data_path, diskann::IndexWritePa
     using TagT = uint32_t;
     auto data_type = diskann_type_to_name<T>();
     auto tag_type = diskann_type_to_name<TagT>();
+    auto index_search_params = diskann::IndexSearchParams(params.search_list_size, params.num_threads);
     diskann::IndexConfig index_config = diskann::IndexConfigBuilder()
                                             .with_metric(diskann::L2)
                                             .with_dimension(dim)
                                             .with_max_points(max_points_to_insert)
                                             .is_dynamic_index(true)
                                             .with_index_write_params(params)
-                                            .with_search_threads(params.num_threads)
-                                            .with_initial_search_list_size(params.search_list_size)
+                                            .with_index_search_params(index_search_params)
                                             .with_data_type(data_type)
                                             .with_tag_type(tag_type)
                                             .with_data_load_store_strategy(diskann::MEMORY)

apps/test_streaming_scenario.cpp

@@ -186,6 +186,7 @@ void build_incremental_index(const std::string &data_path, const uint32_t L, con
                                                .with_num_frozen_points(num_start_pts)
                                                .build();
 
+    auto index_search_params = diskann::IndexSearchParams(L, insert_threads);
     diskann::IndexWriteParameters delete_params = diskann::IndexWriteParametersBuilder(L, R)
                                                       .with_max_occlusion_size(C)
                                                       .with_alpha(alpha)
@@ -200,7 +201,6 @@ void build_incremental_index(const std::string &data_path, const uint32_t L, con
     diskann::cout << "metadata: file " << data_path << " has " << num_points << " points in " << dim << " dims"
                   << std::endl;
     aligned_dim = ROUND_UP(dim, 8);
-
     auto index_config = diskann::IndexConfigBuilder()
                             .with_metric(diskann::L2)
                             .with_dimension(dim)
@@ -210,12 +210,11 @@ void build_incremental_index(const std::string &data_path, const uint32_t L, con
                             .is_use_opq(false)
                             .with_num_pq_chunks(0)
                             .is_pq_dist_build(false)
-                            .with_search_threads(insert_threads)
-                            .with_initial_search_list_size(L)
                             .with_tag_type(diskann_type_to_name<TagT>())
                             .with_label_type(diskann_type_to_name<LabelT>())
                             .with_data_type(diskann_type_to_name<T>())
                             .with_index_write_params(params)
+                            .with_index_search_params(index_search_params)
                             .with_data_load_store_strategy(diskann::MEMORY)
                             .build();
 

apps/utils/count_bfs_levels.cpp

@@ -27,7 +27,7 @@ template <typename T> void bfs_count(const std::string &index_path, uint32_t dat
 {
     using TagT = uint32_t;
     using LabelT = uint32_t;
-    diskann::Index<T, TagT, LabelT> index(diskann::Metric::L2, data_dims, 0, false, false);
+    diskann::Index<T, TagT, LabelT> index(diskann::Metric::L2, data_dims, 0, nullptr, nullptr, 0, false, false);
     std::cout << "Index class instantiated" << std::endl;
     index.load(index_path.c_str(), 1, 100);
     std::cout << "Index loaded" << std::endl;

include/in_mem_data_store.h

@@ -21,7 +21,7 @@ namespace diskann
 template <typename data_t> class InMemDataStore : public AbstractDataStore<data_t>
 {
   public:
-    InMemDataStore(const location_t capacity, const size_t dim, std::shared_ptr<Distance<data_t>> distance_fn);
+    InMemDataStore(const location_t capacity, const size_t dim, std::unique_ptr<Distance<data_t>> distance_fn);
     virtual ~InMemDataStore();
 
     virtual location_t load(const std::string &filename) override;
@@ -73,7 +73,7 @@ template <typename data_t> class InMemDataStore : public AbstractDataStore<data_
     // but this gives us perf benefits as the datastore can do distance
     // computations during search and compute norms of vectors internally without
     // have to copy data back and forth.
-    std::shared_ptr<Distance<data_t>> _distance_fn;
+    std::unique_ptr<Distance<data_t>> _distance_fn;
 
     // in case we need to save vector norms for optimization
     std::shared_ptr<float[]> _pre_computed_norms;

include/index.h

@@ -49,21 +49,16 @@ template <typename T, typename TagT = uint32_t, typename LabelT = uint32_t> clas
      **************************************************************************/
 
   public:
-    // Constructor for Bulk operations and for creating the index object solely
-    // for loading a prexisting index.
-    DISKANN_DLLEXPORT Index(Metric m, const size_t dim, const size_t max_points = 1, const bool dynamic_index = false,
+    // Call this when creating and passing Index Config is inconvenient.
+    DISKANN_DLLEXPORT Index(Metric m, const size_t dim, const size_t max_points,
+                            const std::shared_ptr<IndexWriteParameters> index_parameters,
+                            const std::shared_ptr<IndexSearchParams> index_search_params,
+                            const size_t num_frozen_pts = 0, const bool dynamic_index = false,
                             const bool enable_tags = false, const bool concurrent_consolidate = false,
                             const bool pq_dist_build = false, const size_t num_pq_chunks = 0,
-                            const bool use_opq = false, const size_t num_frozen_pts = 0,
-                            const bool init_data_store = true);
-
-    // Constructor for incremental index
-    DISKANN_DLLEXPORT Index(Metric m, const size_t dim, const size_t max_points, const bool dynamic_index,
-                            const IndexWriteParameters &indexParameters, const uint32_t initial_search_list_size,
-                            const uint32_t search_threads, const bool enable_tags = false,
-                            const bool concurrent_consolidate = false, const bool pq_dist_build = false,
-                            const size_t num_pq_chunks = 0, const bool use_opq = false);
+                            const bool use_opq = false);
 
+    // This is called by IndexFactory which returns AbstractIndex's simplified API
     DISKANN_DLLEXPORT Index(const IndexConfig &index_config, std::unique_ptr<AbstractDataStore<T>> data_store
                             /* std::unique_ptr<AbstractGraphStore> graph_store*/);
 
@@ -329,7 +324,6 @@ template <typename T, typename TagT = uint32_t, typename LabelT = uint32_t> clas
   private:
     // Distance functions
     Metric _dist_metric = diskann::L2;
-    std::shared_ptr<Distance<T>> _distance;
 
     // Data
     std::unique_ptr<AbstractDataStore<T>> _data_store;

include/index_config.h

@@ -33,24 +33,23 @@ struct IndexConfig
     std::string tag_type;
     std::string data_type;
 
+    // Params for building index
     std::shared_ptr<IndexWriteParameters> index_write_params;
-
-    uint32_t search_threads;
-    uint32_t initial_search_list_size;
+    // Params for searching index
+    std::shared_ptr<IndexSearchParams> index_search_params;
 
   private:
     IndexConfig(DataStoreStrategy data_strategy, GraphStoreStrategy graph_strategy, Metric metric, size_t dimension,
                 size_t max_points, size_t num_pq_chunks, size_t num_frozen_points, bool dynamic_index, bool enable_tags,
                 bool pq_dist_build, bool concurrent_consolidate, bool use_opq, const std::string &data_type,
                 const std::string &tag_type, const std::string &label_type,
-                std::shared_ptr<IndexWriteParameters> index_write_params, uint32_t search_threads,
-                uint32_t initial_search_list_size)
+                std::shared_ptr<IndexWriteParameters> index_write_params,
+                std::shared_ptr<IndexSearchParams> index_search_params)
         : data_strategy(data_strategy), graph_strategy(graph_strategy), metric(metric), dimension(dimension),
           max_points(max_points), dynamic_index(dynamic_index), enable_tags(enable_tags), pq_dist_build(pq_dist_build),
           concurrent_consolidate(concurrent_consolidate), use_opq(use_opq), num_pq_chunks(num_pq_chunks),
           num_frozen_pts(num_frozen_points), label_type(label_type), tag_type(tag_type), data_type(data_type),
-          index_write_params(index_write_params), search_threads(search_threads),
-          initial_search_list_size(initial_search_list_size)
+          index_write_params(index_write_params), index_search_params(index_search_params)
     {
     }
 
@@ -60,9 +59,7 @@ struct IndexConfig
 class IndexConfigBuilder
 {
   public:
-    IndexConfigBuilder()
-    {
-    }
+    IndexConfigBuilder() = default;
 
     IndexConfigBuilder &with_metric(Metric m)
     {
@@ -160,15 +157,31 @@ class IndexConfigBuilder
         return *this;
     }
 
-    IndexConfigBuilder &with_search_threads(uint32_t search_threads)
+    IndexConfigBuilder &with_index_write_params(std::shared_ptr<IndexWriteParameters> index_write_params_ptr)
+    {
+        if (index_write_params_ptr == nullptr)
+        {
+            diskann::cout << "Passed, empty build_params while creating index config" << std::endl;
+            return *this;
+        }
+        this->_index_write_params = index_write_params_ptr;
+        return *this;
+    }
+
+    IndexConfigBuilder &with_index_search_params(IndexSearchParams &search_params)
     {
-        this->_search_threads = search_threads;
+        this->_index_search_params = std::make_shared<IndexSearchParams>(search_params);
         return *this;
     }
 
-    IndexConfigBuilder &with_initial_search_list_size(uint32_t search_list_size)
+    IndexConfigBuilder &with_index_search_params(std::shared_ptr<IndexSearchParams> search_params_ptr)
     {
-        this->_initial_search_list_size = search_list_size;
+        if (search_params_ptr == nullptr)
+        {
+            diskann::cout << "Passed, empty search_params while creating index config" << std::endl;
+            return *this;
+        }
+        this->_index_search_params = search_params_ptr;
         return *this;
     }
 
@@ -177,19 +190,20 @@ class IndexConfigBuilder
         if (_data_type == "" || _data_type.empty())
             throw ANNException("Error: data_type can not be empty", -1);
 
-        if (_dynamic_index && _index_write_params != nullptr)
+        if (_dynamic_index && _num_frozen_pts == 0)
         {
-            if (_search_threads == 0)
-                throw ANNException("Error: please pass search_threads for building dynamic index.", -1);
+            _num_frozen_pts = 1;
+        }
 
-            if (_initial_search_list_size == 0)
+        if (_dynamic_index)
+        {
+            if (_index_search_params != nullptr && _index_search_params->initial_search_list_size == 0)
                 throw ANNException("Error: please pass initial_search_list_size for building dynamic index.", -1);
         }
 
         return IndexConfig(_data_strategy, _graph_strategy, _metric, _dimension, _max_points, _num_pq_chunks,
                            _num_frozen_pts, _dynamic_index, _enable_tags, _pq_dist_build, _concurrent_consolidate,
-                           _use_opq, _data_type, _tag_type, _label_type, _index_write_params, _search_threads,
-                           _initial_search_list_size);
+                           _use_opq, _data_type, _tag_type, _label_type, _index_write_params, _index_search_params);
     }
 
     IndexConfigBuilder(const IndexConfigBuilder &) = delete;
@@ -217,8 +231,6 @@ class IndexConfigBuilder
     std::string _data_type;
 
     std::shared_ptr<IndexWriteParameters> _index_write_params;
-
-    uint32_t _search_threads;
-    uint32_t _initial_search_list_size;
+    std::shared_ptr<IndexSearchParams> _index_search_params;
 };
 } // namespace diskann

include/index_factory.h

@@ -10,13 +10,15 @@ class IndexFactory
     DISKANN_DLLEXPORT explicit IndexFactory(const IndexConfig &config);
     DISKANN_DLLEXPORT std::unique_ptr<AbstractIndex> create_instance();
 
+    // Consruct a data store with distance function emplaced within
+    template <typename T>
+    DISKANN_DLLEXPORT static std::unique_ptr<AbstractDataStore<T>> construct_datastore(DataStoreStrategy stratagy,
+                                                                                       size_t num_points,
+                                                                                       size_t dimension, Metric m);
+
   private:
     void check_config();
 
-    template <typename T>
-    std::unique_ptr<AbstractDataStore<T>> construct_datastore(DataStoreStrategy stratagy, size_t num_points,
-                                                              size_t dimension);
-
     std::unique_ptr<AbstractGraphStore> construct_graphstore(GraphStoreStrategy stratagy, size_t size);
 
     template <typename data_type, typename tag_type, typename label_type>

include/parameters.h

@@ -38,6 +38,17 @@ class IndexWriteParameters
     friend class IndexWriteParametersBuilder;
 };
 
+class IndexSearchParams
+{
+  public:
+    IndexSearchParams(const uint32_t initial_search_list_size, const uint32_t num_search_threads)
+        : initial_search_list_size(initial_search_list_size), num_search_threads(num_search_threads)
+    {
+    }
+    const uint32_t initial_search_list_size; // search L
+    const uint32_t num_search_threads;       // search threads
+};
+
 class IndexWriteParametersBuilder
 {
     /**

python/include/static_disk_index.h

@@ -6,7 +6,6 @@
 #include <cstdint>
 #include <string>
 
-
 #include <pybind11/pybind11.h>
 #include <pybind11/numpy.h>
 
@@ -21,16 +20,16 @@
 
 namespace py = pybind11;
 
-namespace diskannpy {
+namespace diskannpy
+{
 
 #ifdef _WINDOWS
 typedef WindowsAlignedFileReader PlatformSpecificAlignedFileReader;
 #else
 typedef LinuxAlignedFileReader PlatformSpecificAlignedFileReader;
 #endif
 
-template <typename DT>
-class StaticDiskIndex
+template <typename DT> class StaticDiskIndex
 {
   public:
     StaticDiskIndex(diskann::Metric metric, const std::string &index_path_prefix, uint32_t num_threads,
@@ -40,13 +39,15 @@ class StaticDiskIndex
 
     void cache_sample_paths(size_t num_nodes_to_cache, const std::string &warmup_query_file, uint32_t num_threads);
 
-    NeighborsAndDistances<StaticIdType> search(py::array_t<DT, py::array::c_style | py::array::forcecast> &query, uint64_t knn,
-                uint64_t complexity, uint64_t beam_width);
+    NeighborsAndDistances<StaticIdType> search(py::array_t<DT, py::array::c_style | py::array::forcecast> &query,
+                                               uint64_t knn, uint64_t complexity, uint64_t beam_width);
+
+    NeighborsAndDistances<StaticIdType> batch_search(
+        py::array_t<DT, py::array::c_style | py::array::forcecast> &queries, uint64_t num_queries, uint64_t knn,
+        uint64_t complexity, uint64_t beam_width, uint32_t num_threads);
 
-    NeighborsAndDistances<StaticIdType> batch_search(py::array_t<DT, py::array::c_style | py::array::forcecast> &queries, uint64_t num_queries,
-                      uint64_t knn, uint64_t complexity, uint64_t beam_width, uint32_t num_threads);
   private:
     std::shared_ptr<AlignedFileReader> _reader;
     diskann::PQFlashIndex<DT> _index;
 };
-}
+} // namespace diskannpy

python/src/builder.cpp

@@ -44,10 +44,15 @@ void build_memory_index(const diskann::Metric metric, const std::string &vector_
                                                            .with_saturate_graph(false)
                                                            .with_num_threads(num_threads)
                                                            .build();
+    diskann::IndexSearchParams index_search_params =
+        diskann::IndexSearchParams(index_build_params.search_list_size, num_threads);
     size_t data_num, data_dim;
     diskann::get_bin_metadata(vector_bin_path, data_num, data_dim);
-    diskann::Index<T, TagT, LabelT> index(metric, data_dim, data_num, use_tags, use_tags, false, use_pq_build,
-                                          num_pq_bytes, use_opq);
+
+    diskann::Index<T, TagT, LabelT> index(metric, data_dim, data_num,
+                                          std::make_shared<diskann::IndexWriteParameters>(index_build_params),
+                                          std::make_shared<diskann::IndexSearchParams>(index_search_params), 0,
+                                          use_tags, use_tags, false, use_pq_build, num_pq_bytes, use_opq);
 
     if (use_tags)
     {