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d6a428e880
Ref https://github.com/milvus-io/milvus/issues/42148 This PR supports create index for vector array (now, only for `DataType.FLOAT_VECTOR`) and search on it. The index type supported in this PR is `EMB_LIST_HNSW` and the metric type is `MAX_SIM` only. The way to use it: ```python milvus_client = MilvusClient("xxx:19530") schema = milvus_client.create_schema(enable_dynamic_field=True, auto_id=True) ... struct_schema = milvus_client.create_struct_array_field_schema("struct_array_field") ... struct_schema.add_field("struct_float_vec", DataType.ARRAY_OF_VECTOR, element_type=DataType.FLOAT_VECTOR, dim=128, max_capacity=1000) ... schema.add_struct_array_field(struct_schema) index_params = milvus_client.prepare_index_params() index_params.add_index(field_name="struct_float_vec", index_type="EMB_LIST_HNSW", metric_type="MAX_SIM", index_params={"nlist": 128}) ... milvus_client.create_index(COLLECTION_NAME, schema=schema, index_params=index_params) ``` Note: This PR uses `Lims` to convey offsets of the vector array to knowhere where vectors of multiple vector arrays are concatenated and we need offsets to specify which vectors belong to which vector array. --------- Signed-off-by: SpadeA <tangchenjie1210@gmail.com> Signed-off-by: SpadeA-Tang <tangchenjie1210@gmail.com>
58 lines
2.1 KiB
Go
58 lines
2.1 KiB
Go
// Licensed to the LF AI & Data foundation under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package proxy
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import (
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"testing"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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)
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func Test_CheckVecIndexWithDataTypeExist(t *testing.T) {
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cases := []struct {
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indexType string
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dataType schemapb.DataType
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want bool
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}{
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{"HNSW", schemapb.DataType_FloatVector, true},
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{"HNSW", schemapb.DataType_BinaryVector, false},
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{"HNSW", schemapb.DataType_Float16Vector, true},
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{"SPARSE_WAND", schemapb.DataType_SparseFloatVector, true},
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{"SPARSE_WAND", schemapb.DataType_FloatVector, false},
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{"SPARSE_WAND", schemapb.DataType_Float16Vector, false},
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{"GPU_BRUTE_FORCE", schemapb.DataType_FloatVector, true},
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{"GPU_BRUTE_FORCE", schemapb.DataType_Float16Vector, true},
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{"GPU_BRUTE_FORCE", schemapb.DataType_BinaryVector, false},
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{"BIN_IVF_FLAT", schemapb.DataType_BinaryVector, true},
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{"BIN_IVF_FLAT", schemapb.DataType_FloatVector, false},
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{"DISKANN", schemapb.DataType_FloatVector, true},
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{"DISKANN", schemapb.DataType_Float16Vector, true},
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{"DISKANN", schemapb.DataType_BFloat16Vector, true},
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{"DISKANN", schemapb.DataType_BinaryVector, false},
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}
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for _, test := range cases {
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if got := CheckVecIndexWithDataTypeExist(test.indexType, test.dataType, schemapb.DataType_None); got != test.want {
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t.Errorf("CheckVecIndexWithDataTypeExist(%v, %v) = %v", test.indexType, test.dataType, test.want)
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}
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}
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}
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