[MOD-17706] finalize SVSIndex::relabelVector

cmake/svs.cmake

@@ -123,6 +123,29 @@ if(USE_SVS)
         message("SVS LVQ implementation not found")
         add_compile_definitions(VectorSimilarity PUBLIC "HAVE_SVS_LVQ=0")
     endif()
+
+    # `replace_external_id` is newer than the pre-built SVS releases that SVS_SHARED_LIB downloads,
+    # so whether it is available depends on which SVS this build ended up with rather than on the
+    # platform. Detect it in the header instead of assuming: it is a method, not a file, so this
+    # greps the header the LVQ check would have tested for existence.
+    set(SVS_DYNAMIC_INDEX_HEADER "svs/index/vamana/dynamic_index.h")
+    set(SVS_HAS_REPLACE_EXTERNAL_ID 0)
+    if(EXISTS "${svs_SOURCE_DIR}/include/${SVS_DYNAMIC_INDEX_HEADER}")
+        file(READ "${svs_SOURCE_DIR}/include/${SVS_DYNAMIC_INDEX_HEADER}" SVS_DYNAMIC_INDEX_SRC)
+        string(FIND "${SVS_DYNAMIC_INDEX_SRC}" "replace_external_id" SVS_REPLACE_EXTERNAL_ID_POS)
+        if(NOT SVS_REPLACE_EXTERNAL_ID_POS EQUAL -1)
+            set(SVS_HAS_REPLACE_EXTERNAL_ID 1)
+        endif()
+        unset(SVS_DYNAMIC_INDEX_SRC)
+    endif()
+
+    if(SVS_HAS_REPLACE_EXTERNAL_ID)
+        message("SVS replace_external_id found - SVS relabeling enabled")
+        add_compile_definitions(VectorSimilarity PUBLIC "HAVE_SVS_REPLACE_EXTERNAL_ID=1")
+    else()
+        message("SVS replace_external_id not found - SVS relabeling reports unsupported")
+        add_compile_definitions(VectorSimilarity PUBLIC "HAVE_SVS_REPLACE_EXTERNAL_ID=0")
+    endif()
 else()
     message(STATUS "SVS support disabled")
     add_compile_definitions("HAVE_SVS=0")

src/VecSim/algorithms/svs/svs.h

@@ -549,6 +549,29 @@ class SVSIndex : public VecSimIndexAbstract<svs_details::vecsim_dt<DataType>, fl
         return deleteVectorsImpl(labels, n);
     }
 
+#if HAVE_SVS_REPLACE_EXTERNAL_ID
+    // Only declared when the SVS this was built against offers `replace_external_id`. The
+    // pre-built SVS releases predate it, so where it is missing this override is left out and the
+    // interface default reports `VecSimRelabel_Unsupported` - which tells a caller to fall back to
+    // delete + insert rather than read it as a no-op.
+    VecSimRelabelCode relabelVector(labelType old_label, labelType new_label) override {
+        if (old_label == new_label) {
+            return VecSimRelabel_SameLabel;
+        }
+        // `impl_` is only created on the first insertion, so an index that never held a vector
+        // trivially has nothing under `old_label`.
+        if (!impl_ || !impl_->has_id(old_label)) {
+            return VecSimRelabel_OldLabelMissing;
+        }
+        if (impl_->has_id(new_label)) {
+            return VecSimRelabel_NewLabelTaken;
+        }
+
+        impl_->replace_external_id(old_label, new_label);
+        return VecSimRelabel_OK;
+    }
+#endif // HAVE_SVS_REPLACE_EXTERNAL_ID
+
     bool isLabelExists(labelType label) const override {
         return impl_ ? impl_->has_id(label) : false;
     }

src/python_bindings/bindings.cpp

@@ -106,12 +106,11 @@ class PyVecSimIndex {
     template <typename DataType, typename DistType, typename NPArrayType = DataType>
     inline py::object rawVectorsAsNumpy(labelType label, size_t dim) {
         std::vector<std::vector<DataType>> vectors;
-        if (index->basicInfo().algo == VecSimAlgo_BF) {
-            dynamic_cast<BruteForceIndex<DataType, DistType> *>(this->index.get())
-                ->getDataByLabel(label, vectors);
+        if (auto *tiered =
+                dynamic_cast<VecSimTieredIndex<DataType, DistType> *>(this->index.get())) {
+            tiered->getDataByLabel(label, vectors);
         } else {
-            // index is HNSW
-            dynamic_cast<HNSWIndex<DataType, DistType> *>(this->index.get())
+            dynamic_cast<VecSimIndexAbstract<DataType, DistType> *>(this->index.get())
                 ->getDataByLabel(label, vectors);
         }
         size_t n_vectors = vectors.size();
@@ -216,6 +215,10 @@ class PyVecSimIndex {
 
     void runGC() { VecSimTieredIndex_GC(index.get()); }
 
+    VecSimRelabelCode relabelVector(labelType old_label, labelType new_label) {
+        return VecSimIndex_RelabelVector(index.get(), old_label, new_label);
+    }
+
     py::object getVector(labelType label) {
         VecSimIndexBasicInfo info = index->basicInfo();
         size_t dim = info.dim;
@@ -713,6 +716,14 @@ PYBIND11_MODULE(VecSim, m) {
         .def_readwrite("initialCapacity", &BFParams::initialCapacity)
         .def_readwrite("blockSize", &BFParams::blockSize);
 
+    py::enum_<VecSimRelabelCode>(m, "VecSimRelabelCode")
+        .value("VecSimRelabel_OK", VecSimRelabel_OK)
+        .value("VecSimRelabel_OldLabelMissing", VecSimRelabel_OldLabelMissing)
+        .value("VecSimRelabel_NewLabelTaken", VecSimRelabel_NewLabelTaken)
+        .value("VecSimRelabel_SameLabel", VecSimRelabel_SameLabel)
+        .value("VecSimRelabel_Unsupported", VecSimRelabel_Unsupported)
+        .export_values();
+
     py::enum_<VecSimSvsQuantBits>(m, "VecSimSvsQuantBits")
         .value("VecSimSvsQuant_NONE", VecSimSvsQuant_NONE)
         .value("VecSimSvsQuant_Scalar", VecSimSvsQuant_Scalar)
@@ -799,6 +810,8 @@ PYBIND11_MODULE(VecSim, m) {
         .def("create_batch_iterator", &PyVecSimIndex::createBatchIterator, py::arg("query_blob"),
              py::arg("query_param") = nullptr)
         .def("get_vector", &PyVecSimIndex::getVector)
+        .def("relabel_vector", &PyVecSimIndex::relabelVector, py::arg("old_label"),
+             py::arg("new_label"))
         .def("run_gc", &PyVecSimIndex::runGC);
 
     py::class_<PyHNSWLibIndex, PyVecSimIndex>(m, "HNSWIndex")

tests/flow/test_bruteforce.py

@@ -747,3 +747,61 @@ def test_range_query(self):
 
     def test_multi_value(self):
         self.multi_value(create_uint8_vectors)
+
+
+def test_relabel_vector(test_logger):
+    dim = 16
+    num_elements = 100
+    index = create_flat_index(dim, VecSimMetric_L2, VecSimType_FLOAT32)
+
+    data = np.float32(np.random.random((num_elements, dim)))
+    for label, vector in enumerate(data):
+        index.add_vector(vector, label)
+
+    old_label, new_label = 7, num_elements + 500
+    assert index.relabel_vector(old_label, new_label) == VecSimRelabel_OK
+
+    # The label moved without the data moving, and the index neither grew nor shrank.
+    assert index.index_size() == num_elements
+    assert_allclose(index.get_vector(new_label)[0], data[old_label], rtol=1e-6)
+    assert index.get_vector(old_label).shape == (0, dim)
+
+    # Still searchable, and answering under the new label.
+    labels, distances = index.knn_query(data[old_label], 1)
+    assert labels[0][0] == new_label
+    assert distances[0][0] < 1e-6
+
+    # Each rejection is reported distinctly, and none of them modifies the index.
+    assert index.relabel_vector(num_elements + 1, 0) == VecSimRelabel_OldLabelMissing
+    assert index.relabel_vector(0, 1) == VecSimRelabel_NewLabelTaken
+    assert index.relabel_vector(0, 0) == VecSimRelabel_SameLabel
+    assert index.index_size() == num_elements
+    test_logger.info("flat index relabel_vector moved the label, keeping the vector data")
+
+
+def test_relabel_vector_multi(test_logger):
+    dim = 16
+    num_labels = 20
+    per_label = 3
+    index = create_flat_index(dim, VecSimMetric_L2, VecSimType_FLOAT32, is_multi=True)
+
+    data = np.float32(np.random.random((num_labels, per_label, dim)))
+    for label in range(num_labels):
+        for vector in data[label]:
+            index.add_vector(vector, label)
+
+    old_label, new_label = 7, num_labels + 500
+    assert index.relabel_vector(old_label, new_label) == VecSimRelabel_OK
+
+    # Every vector under the label moves as a unit, keeping its data and insertion order.
+    assert index.index_size() == num_labels * per_label
+    assert_allclose(index.get_vector(new_label), data[old_label], rtol=1e-6)
+    assert index.get_vector(old_label).shape == (0, dim)
+
+    # Moving onto an occupied label must be rejected: accepting it would silently merge two
+    # labels' vectors, which is the failure mode unique to a multi index.
+    assert index.relabel_vector(new_label, 0) == VecSimRelabel_NewLabelTaken
+    assert index.get_vector(new_label).shape == (per_label, dim)
+    assert index.get_vector(0).shape == (per_label, dim)
+    assert index.index_size() == num_labels * per_label
+    test_logger.info("flat multi relabel_vector moved every vector under the label")

tests/flow/test_hnsw.py

@@ -1156,3 +1156,64 @@ def test_range_query(self, test_logger):
 
     def test_multi_value(self, test_logger):
         self.multi_value(create_uint8_vectors, test_logger)
+
+
+def test_relabel_vector(test_logger):
+    dim = 16
+    num_elements = 100
+    index = create_hnsw_index(dim, num_elements, VecSimMetric_L2, VecSimType_FLOAT32)
+
+    data = np.float32(np.random.random((num_elements, dim)))
+    for label, vector in enumerate(data):
+        index.add_vector(vector, label)
+
+    old_label, new_label = 7, num_elements + 500
+    assert index.relabel_vector(old_label, new_label) == VecSimRelabel_OK
+
+    # A relabel is bookkeeping only: the graph is untouched, so the vector keeps its data and its
+    # place in the index rather than being reinserted.
+    assert index.index_size() == num_elements
+    assert_allclose(index.get_vector(new_label)[0], data[old_label], rtol=1e-6)
+    assert index.get_vector(old_label).shape == (0, dim)
+    assert index.check_integrity()
+
+    labels, distances = index.knn_query(data[old_label], 1)
+    assert labels[0][0] == new_label
+    assert distances[0][0] < 1e-6
+
+    # Each rejection is reported distinctly, and none of them modifies the index.
+    assert index.relabel_vector(num_elements + 1, 0) == VecSimRelabel_OldLabelMissing
+    assert index.relabel_vector(0, 1) == VecSimRelabel_NewLabelTaken
+    assert index.relabel_vector(0, 0) == VecSimRelabel_SameLabel
+    assert index.index_size() == num_elements
+    assert index.check_integrity()
+    test_logger.info("HNSW relabel_vector moved the label, leaving the graph intact")
+
+
+def test_relabel_vector_multi(test_logger):
+    dim = 16
+    num_labels = 20
+    per_label = 3
+    index = create_hnsw_index(dim, num_labels * per_label, VecSimMetric_L2, VecSimType_FLOAT32,
+                              is_multi=True)
+
+    data = np.float32(np.random.random((num_labels, per_label, dim)))
+    for label in range(num_labels):
+        for vector in data[label]:
+            index.add_vector(vector, label)
+
+    old_label, new_label = 7, num_labels + 500
+    assert index.relabel_vector(old_label, new_label) == VecSimRelabel_OK
+
+    # All the label's internal ids are re-pointed together, and the graph is left alone.
+    assert index.index_size() == num_labels * per_label
+    assert_allclose(index.get_vector(new_label), data[old_label], rtol=1e-6)
+    assert index.get_vector(old_label).shape == (0, dim)
+    assert index.check_integrity()
+
+    # Accepting a move onto an occupied label would merge two labels' vectors.
+    assert index.relabel_vector(new_label, 0) == VecSimRelabel_NewLabelTaken
+    assert index.get_vector(new_label).shape == (per_label, dim)
+    assert index.get_vector(0).shape == (per_label, dim)
+    assert index.check_integrity()
+    test_logger.info("HNSW multi relabel_vector moved every vector under the label")

tests/flow/test_hnsw_tiered.py

@@ -621,3 +621,78 @@ def test_multi_range_query(test_logger):
     # Expect zero results for radius==0
     tiered_labels, tiered_distances = index.range_query(query_data, radius=0)
     assert len(tiered_labels[0]) == 0
+
+
+def test_relabel_vector(test_logger):
+    dim = 16
+    num_elements = 1000
+    hnsw_params = create_hnsw_params(dim, num_elements, VecSimMetric_L2, VecSimType_FLOAT32)
+    # A flat buffer large enough to hold everything, so the relabel below has a real chance of
+    # landing while the vector is still buffered with a pending ingest job.
+    index = Tiered_HNSWIndex(hnsw_params, create_tiered_hnsw_params(), num_elements)
+
+    data = np.float32(np.random.random((num_elements, dim)))
+    for label, vector in enumerate(data):
+        index.add_vector(vector, label)
+
+    # Relabel one early and one late label. The workers ingest in insertion order, so by now the
+    # early one is most likely already in HNSW while the late one is most likely still buffered
+    # with a pending ingest job - between them the two tiers both get covered. The buffered case is
+    # the delicate one: a job left holding the old label would either ingest the vector under it or
+    # throw out of the worker thread, and neither would survive the assertions below.
+    buffered = index.get_curr_bf_size()
+    test_logger.info(f"relabeling with {buffered} of {num_elements} vectors still buffered")
+    moved = {7: num_elements + 500, num_elements - 1: num_elements + 501}
+    for old_label, new_label in moved.items():
+        assert index.relabel_vector(old_label, new_label) == VecSimRelabel_OK
+
+    index.wait_for_index()
+
+    # Once ingestion has drained, the vector sits in HNSW under the new label and under no other.
+    assert index.index_size() == num_elements
+    assert index.hnsw_label_count() == num_elements
+    for old_label, new_label in moved.items():
+        assert_allclose(index.get_vector(new_label)[0], data[old_label], rtol=1e-6)
+        assert index.get_vector(old_label).shape == (0, dim)
+
+        labels, distances = index.knn_query(data[old_label], 1)
+        assert labels[0][0] == new_label
+        assert distances[0][0] < 1e-6
+
+    # Each rejection is reported distinctly, and none of them modifies the index.
+    assert index.relabel_vector(num_elements + 1, 0) == VecSimRelabel_OldLabelMissing
+    assert index.relabel_vector(0, 1) == VecSimRelabel_NewLabelTaken
+    assert index.relabel_vector(0, 0) == VecSimRelabel_SameLabel
+    assert index.index_size() == num_elements
+    test_logger.info("tiered relabel_vector moved the label across both tiers")
+
+
+def test_relabel_vector_multi(test_logger):
+    dim = 16
+    num_labels = 200
+    per_label = 5
+    hnsw_params = create_hnsw_params(dim, num_labels * per_label, VecSimMetric_L2,
+                                     VecSimType_FLOAT32, is_multi=True)
+    index = Tiered_HNSWIndex(hnsw_params, create_tiered_hnsw_params(), num_labels * per_label)
+
+    data = np.float32(np.random.random((num_labels, per_label, dim)))
+    for label in range(num_labels):
+        for vector in data[label]:
+            index.add_vector(vector, label)
+
+    # In a multi index a label can hold several pending ingest jobs at once, so a late label
+    # exercises re-keying all of them together while an early one is most likely already in HNSW.
+    buffered = index.get_curr_bf_size()
+    test_logger.info(f"relabeling with {buffered} of {num_labels * per_label} vectors buffered")
+    moved = {7: num_labels + 500, num_labels - 1: num_labels + 501}
+    for old_label, new_label in moved.items():
+        assert index.relabel_vector(old_label, new_label) == VecSimRelabel_OK
+
+    index.wait_for_index()
+
+    assert index.index_size() == num_labels * per_label
+    assert index.hnsw_label_count() == num_labels
+    for old_label, new_label in moved.items():
+        assert index.get_vector(new_label).shape == (per_label, dim)
+        assert index.get_vector(old_label).shape == (0, dim)
+    test_logger.info("tiered multi relabel_vector moved every vector under the label")